From a3b68b3e1f8236efe493c271cb6d4cbbe936d18e Mon Sep 17 00:00:00 2001 From: Owl Bot Date: Wed, 13 Mar 2024 21:55:30 +0000 Subject: [PATCH] docs: A comment for field `processor_version_source` in message `.google.cloud.documentai.v1beta3.ImportProcessorVersionRequest` is changed PiperOrigin-RevId: 615492381 Source-Link: https://github.com/googleapis/googleapis/commit/b29f9faa80c3efd6ba8822d66d2c346b2acd6baa Source-Link: https://github.com/googleapis/googleapis-gen/commit/e378fe190172153d285c463eefadf4a20a930de1 Copy-Tag: eyJwIjoicGFja2FnZXMvZ29vZ2xlLWNsb3VkLWRvY3VtZW50YWkvLk93bEJvdC55YW1sIiwiaCI6ImUzNzhmZTE5MDE3MjE1M2QyODVjNDYzZWVmYWRmNGEyMGE5MzBkZTEifQ== --- .../google-cloud-documentai/v1/.coveragerc | 13 + .../google-cloud-documentai/v1/.flake8 | 33 + .../google-cloud-documentai/v1/MANIFEST.in | 2 + .../google-cloud-documentai/v1/README.rst | 49 + .../v1/docs/_static/custom.css | 3 + .../google-cloud-documentai/v1/docs/conf.py | 376 + 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owl-bot-staging/google-cloud-documentai/v1beta3/tests/unit/__init__.py create mode 100644 owl-bot-staging/google-cloud-documentai/v1beta3/tests/unit/gapic/__init__.py create mode 100644 owl-bot-staging/google-cloud-documentai/v1beta3/tests/unit/gapic/documentai_v1beta3/__init__.py create mode 100644 owl-bot-staging/google-cloud-documentai/v1beta3/tests/unit/gapic/documentai_v1beta3/test_document_processor_service.py create mode 100644 owl-bot-staging/google-cloud-documentai/v1beta3/tests/unit/gapic/documentai_v1beta3/test_document_service.py diff --git a/owl-bot-staging/google-cloud-documentai/v1/.coveragerc b/owl-bot-staging/google-cloud-documentai/v1/.coveragerc new file mode 100644 index 000000000000..46ab6093e34b --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/.coveragerc @@ -0,0 +1,13 @@ +[run] +branch = True + +[report] +show_missing = True +omit = + google/cloud/documentai/__init__.py + google/cloud/documentai/gapic_version.py +exclude_lines = + # Re-enable the standard pragma + pragma: NO COVER + # Ignore debug-only repr + def __repr__ diff --git a/owl-bot-staging/google-cloud-documentai/v1/.flake8 b/owl-bot-staging/google-cloud-documentai/v1/.flake8 new file mode 100644 index 000000000000..29227d4cf419 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/.flake8 @@ -0,0 +1,33 @@ +# -*- coding: utf-8 -*- +# +# Copyright 2020 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# https://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# Generated by synthtool. DO NOT EDIT! +[flake8] +ignore = E203, E266, E501, W503 +exclude = + # Exclude generated code. + **/proto/** + **/gapic/** + **/services/** + **/types/** + *_pb2.py + + # Standard linting exemptions. + **/.nox/** + __pycache__, + .git, + *.pyc, + conf.py diff --git a/owl-bot-staging/google-cloud-documentai/v1/MANIFEST.in b/owl-bot-staging/google-cloud-documentai/v1/MANIFEST.in new file mode 100644 index 000000000000..b804f1572981 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/MANIFEST.in @@ -0,0 +1,2 @@ +recursive-include google/cloud/documentai *.py +recursive-include google/cloud/documentai_v1 *.py diff --git a/owl-bot-staging/google-cloud-documentai/v1/README.rst b/owl-bot-staging/google-cloud-documentai/v1/README.rst new file mode 100644 index 000000000000..484a3c1c8fa7 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/README.rst @@ -0,0 +1,49 @@ +Python Client for Google Cloud Documentai API +================================================= + +Quick Start +----------- + +In order to use this library, you first need to go through the following steps: + +1. `Select or create a Cloud Platform project.`_ +2. `Enable billing for your project.`_ +3. Enable the Google Cloud Documentai API. +4. `Setup Authentication.`_ + +.. _Select or create a Cloud Platform project.: https://console.cloud.google.com/project +.. _Enable billing for your project.: https://cloud.google.com/billing/docs/how-to/modify-project#enable_billing_for_a_project +.. _Setup Authentication.: https://googleapis.dev/python/google-api-core/latest/auth.html + +Installation +~~~~~~~~~~~~ + +Install this library in a `virtualenv`_ using pip. `virtualenv`_ is a tool to +create isolated Python environments. The basic problem it addresses is one of +dependencies and versions, and indirectly permissions. + +With `virtualenv`_, it's possible to install this library without needing system +install permissions, and without clashing with the installed system +dependencies. + +.. _`virtualenv`: https://virtualenv.pypa.io/en/latest/ + + +Mac/Linux +^^^^^^^^^ + +.. code-block:: console + + python3 -m venv + source /bin/activate + /bin/pip install /path/to/library + + +Windows +^^^^^^^ + +.. code-block:: console + + python3 -m venv + \Scripts\activate + \Scripts\pip.exe install \path\to\library diff --git a/owl-bot-staging/google-cloud-documentai/v1/docs/_static/custom.css b/owl-bot-staging/google-cloud-documentai/v1/docs/_static/custom.css new file mode 100644 index 000000000000..06423be0b592 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/docs/_static/custom.css @@ -0,0 +1,3 @@ +dl.field-list > dt { + min-width: 100px +} diff --git a/owl-bot-staging/google-cloud-documentai/v1/docs/conf.py b/owl-bot-staging/google-cloud-documentai/v1/docs/conf.py new file mode 100644 index 000000000000..8d93c59cdbb8 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/docs/conf.py @@ -0,0 +1,376 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# +# google-cloud-documentai documentation build configuration file +# +# This file is execfile()d with the current directory set to its +# containing dir. +# +# Note that not all possible configuration values are present in this +# autogenerated file. +# +# All configuration values have a default; values that are commented out +# serve to show the default. + +import sys +import os +import shlex + +# If extensions (or modules to document with autodoc) are in another directory, +# add these directories to sys.path here. If the directory is relative to the +# documentation root, use os.path.abspath to make it absolute, like shown here. +sys.path.insert(0, os.path.abspath("..")) + +__version__ = "0.1.0" + +# -- General configuration ------------------------------------------------ + +# If your documentation needs a minimal Sphinx version, state it here. +needs_sphinx = "4.0.1" + +# Add any Sphinx extension module names here, as strings. They can be +# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom +# ones. +extensions = [ + "sphinx.ext.autodoc", + "sphinx.ext.autosummary", + "sphinx.ext.intersphinx", + "sphinx.ext.coverage", + "sphinx.ext.napoleon", + "sphinx.ext.todo", + "sphinx.ext.viewcode", +] + +# autodoc/autosummary flags +autoclass_content = "both" +autodoc_default_flags = ["members"] +autosummary_generate = True + + +# Add any paths that contain templates here, relative to this directory. +templates_path = ["_templates"] + +# Allow markdown includes (so releases.md can include CHANGLEOG.md) +# http://www.sphinx-doc.org/en/master/markdown.html +source_parsers = {".md": "recommonmark.parser.CommonMarkParser"} + +# The suffix(es) of source filenames. +# You can specify multiple suffix as a list of string: +source_suffix = [".rst", ".md"] + +# The encoding of source files. +# source_encoding = 'utf-8-sig' + +# The root toctree document. +root_doc = "index" + +# General information about the project. +project = u"google-cloud-documentai" +copyright = u"2023, Google, LLC" +author = u"Google APIs" # TODO: autogenerate this bit + +# The version info for the project you're documenting, acts as replacement for +# |version| and |release|, also used in various other places throughout the +# built documents. +# +# The full version, including alpha/beta/rc tags. +release = __version__ +# The short X.Y version. +version = ".".join(release.split(".")[0:2]) + +# The language for content autogenerated by Sphinx. Refer to documentation +# for a list of supported languages. +# +# This is also used if you do content translation via gettext catalogs. +# Usually you set "language" from the command line for these cases. +language = 'en' + +# There are two options for replacing |today|: either, you set today to some +# non-false value, then it is used: +# today = '' +# Else, today_fmt is used as the format for a strftime call. +# today_fmt = '%B %d, %Y' + +# List of patterns, relative to source directory, that match files and +# directories to ignore when looking for source files. +exclude_patterns = ["_build"] + +# The reST default role (used for this markup: `text`) to use for all +# documents. +# default_role = None + +# If true, '()' will be appended to :func: etc. cross-reference text. +# add_function_parentheses = True + +# If true, the current module name will be prepended to all description +# unit titles (such as .. function::). +# add_module_names = True + +# If true, sectionauthor and moduleauthor directives will be shown in the +# output. They are ignored by default. +# show_authors = False + +# The name of the Pygments (syntax highlighting) style to use. +pygments_style = "sphinx" + +# A list of ignored prefixes for module index sorting. +# modindex_common_prefix = [] + +# If true, keep warnings as "system message" paragraphs in the built documents. +# keep_warnings = False + +# If true, `todo` and `todoList` produce output, else they produce nothing. +todo_include_todos = True + + +# -- Options for HTML output ---------------------------------------------- + +# The theme to use for HTML and HTML Help pages. See the documentation for +# a list of builtin themes. +html_theme = "alabaster" + +# Theme options are theme-specific and customize the look and feel of a theme +# further. For a list of options available for each theme, see the +# documentation. +html_theme_options = { + "description": "Google Cloud Client Libraries for Python", + "github_user": "googleapis", + "github_repo": "google-cloud-python", + "github_banner": True, + "font_family": "'Roboto', Georgia, sans", + "head_font_family": "'Roboto', Georgia, serif", + "code_font_family": "'Roboto Mono', 'Consolas', monospace", +} + +# Add any paths that contain custom themes here, relative to this directory. +# html_theme_path = [] + +# The name for this set of Sphinx documents. If None, it defaults to +# " v documentation". +# html_title = None + +# A shorter title for the navigation bar. Default is the same as html_title. +# html_short_title = None + +# The name of an image file (relative to this directory) to place at the top +# of the sidebar. +# html_logo = None + +# The name of an image file (within the static path) to use as favicon of the +# docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 +# pixels large. +# html_favicon = None + +# Add any paths that contain custom static files (such as style sheets) here, +# relative to this directory. They are copied after the builtin static files, +# so a file named "default.css" will overwrite the builtin "default.css". +html_static_path = ["_static"] + +# Add any extra paths that contain custom files (such as robots.txt or +# .htaccess) here, relative to this directory. These files are copied +# directly to the root of the documentation. +# html_extra_path = [] + +# If not '', a 'Last updated on:' timestamp is inserted at every page bottom, +# using the given strftime format. +# html_last_updated_fmt = '%b %d, %Y' + +# If true, SmartyPants will be used to convert quotes and dashes to +# typographically correct entities. +# html_use_smartypants = True + +# Custom sidebar templates, maps document names to template names. +# html_sidebars = {} + +# Additional templates that should be rendered to pages, maps page names to +# template names. +# html_additional_pages = {} + +# If false, no module index is generated. +# html_domain_indices = True + +# If false, no index is generated. +# html_use_index = True + +# If true, the index is split into individual pages for each letter. +# html_split_index = False + +# If true, links to the reST sources are added to the pages. +# html_show_sourcelink = True + +# If true, "Created using Sphinx" is shown in the HTML footer. Default is True. +# html_show_sphinx = True + +# If true, "(C) Copyright ..." is shown in the HTML footer. Default is True. +# html_show_copyright = True + +# If true, an OpenSearch description file will be output, and all pages will +# contain a tag referring to it. The value of this option must be the +# base URL from which the finished HTML is served. +# html_use_opensearch = '' + +# This is the file name suffix for HTML files (e.g. ".xhtml"). +# html_file_suffix = None + +# Language to be used for generating the HTML full-text search index. +# Sphinx supports the following languages: +# 'da', 'de', 'en', 'es', 'fi', 'fr', 'hu', 'it', 'ja' +# 'nl', 'no', 'pt', 'ro', 'ru', 'sv', 'tr' +# html_search_language = 'en' + +# A dictionary with options for the search language support, empty by default. +# Now only 'ja' uses this config value +# html_search_options = {'type': 'default'} + +# The name of a javascript file (relative to the configuration directory) that +# implements a search results scorer. If empty, the default will be used. +# html_search_scorer = 'scorer.js' + +# Output file base name for HTML help builder. +htmlhelp_basename = "google-cloud-documentai-doc" + +# -- Options for warnings ------------------------------------------------------ + + +suppress_warnings = [ + # Temporarily suppress this to avoid "more than one target found for + # cross-reference" warning, which are intractable for us to avoid while in + # a mono-repo. + # See https://github.com/sphinx-doc/sphinx/blob + # /2a65ffeef5c107c19084fabdd706cdff3f52d93c/sphinx/domains/python.py#L843 + "ref.python" +] + +# -- Options for LaTeX output --------------------------------------------- + +latex_elements = { + # The paper size ('letterpaper' or 'a4paper'). + # 'papersize': 'letterpaper', + # The font size ('10pt', '11pt' or '12pt'). + # 'pointsize': '10pt', + # Additional stuff for the LaTeX preamble. + # 'preamble': '', + # Latex figure (float) alignment + # 'figure_align': 'htbp', +} + +# Grouping the document tree into LaTeX files. List of tuples +# (source start file, target name, title, +# author, documentclass [howto, manual, or own class]). +latex_documents = [ + ( + root_doc, + "google-cloud-documentai.tex", + u"google-cloud-documentai Documentation", + author, + "manual", + ) +] + +# The name of an image file (relative to this directory) to place at the top of +# the title page. +# latex_logo = None + +# For "manual" documents, if this is true, then toplevel headings are parts, +# not chapters. +# latex_use_parts = False + +# If true, show page references after internal links. +# latex_show_pagerefs = False + +# If true, show URL addresses after external links. +# latex_show_urls = False + +# Documents to append as an appendix to all manuals. +# latex_appendices = [] + +# If false, no module index is generated. +# latex_domain_indices = True + + +# -- Options for manual page output --------------------------------------- + +# One entry per manual page. List of tuples +# (source start file, name, description, authors, manual section). +man_pages = [ + ( + root_doc, + "google-cloud-documentai", + u"Google Cloud Documentai Documentation", + [author], + 1, + ) +] + +# If true, show URL addresses after external links. +# man_show_urls = False + + +# -- Options for Texinfo output ------------------------------------------- + +# Grouping the document tree into Texinfo files. List of tuples +# (source start file, target name, title, author, +# dir menu entry, description, category) +texinfo_documents = [ + ( + root_doc, + "google-cloud-documentai", + u"google-cloud-documentai Documentation", + author, + "google-cloud-documentai", + "GAPIC library for Google Cloud Documentai API", + "APIs", + ) +] + +# Documents to append as an appendix to all manuals. +# texinfo_appendices = [] + +# If false, no module index is generated. +# texinfo_domain_indices = True + +# How to display URL addresses: 'footnote', 'no', or 'inline'. +# texinfo_show_urls = 'footnote' + +# If true, do not generate a @detailmenu in the "Top" node's menu. +# texinfo_no_detailmenu = False + + +# Example configuration for intersphinx: refer to the Python standard library. +intersphinx_mapping = { + "python": ("http://python.readthedocs.org/en/latest/", None), + "gax": ("https://gax-python.readthedocs.org/en/latest/", None), + "google-auth": ("https://google-auth.readthedocs.io/en/stable", None), + "google-gax": ("https://gax-python.readthedocs.io/en/latest/", None), + "google.api_core": ("https://googleapis.dev/python/google-api-core/latest/", None), + "grpc": ("https://grpc.io/grpc/python/", None), + "requests": ("http://requests.kennethreitz.org/en/stable/", None), + "proto": ("https://proto-plus-python.readthedocs.io/en/stable", None), + "protobuf": ("https://googleapis.dev/python/protobuf/latest/", None), +} + + +# Napoleon settings +napoleon_google_docstring = True +napoleon_numpy_docstring = True +napoleon_include_private_with_doc = False +napoleon_include_special_with_doc = True +napoleon_use_admonition_for_examples = False +napoleon_use_admonition_for_notes = False +napoleon_use_admonition_for_references = False +napoleon_use_ivar = False +napoleon_use_param = True +napoleon_use_rtype = True diff --git a/owl-bot-staging/google-cloud-documentai/v1/docs/documentai_v1/document_processor_service.rst b/owl-bot-staging/google-cloud-documentai/v1/docs/documentai_v1/document_processor_service.rst new file mode 100644 index 000000000000..5288f946dad1 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/docs/documentai_v1/document_processor_service.rst @@ -0,0 +1,10 @@ +DocumentProcessorService +------------------------------------------ + +.. automodule:: google.cloud.documentai_v1.services.document_processor_service + :members: + :inherited-members: + +.. automodule:: google.cloud.documentai_v1.services.document_processor_service.pagers + :members: + :inherited-members: diff --git a/owl-bot-staging/google-cloud-documentai/v1/docs/documentai_v1/services_.rst b/owl-bot-staging/google-cloud-documentai/v1/docs/documentai_v1/services_.rst new file mode 100644 index 000000000000..551bb666953f --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/docs/documentai_v1/services_.rst @@ -0,0 +1,6 @@ +Services for Google Cloud Documentai v1 API +=========================================== +.. toctree:: + :maxdepth: 2 + + document_processor_service diff --git a/owl-bot-staging/google-cloud-documentai/v1/docs/documentai_v1/types_.rst b/owl-bot-staging/google-cloud-documentai/v1/docs/documentai_v1/types_.rst new file mode 100644 index 000000000000..ddfb0aac910f --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/docs/documentai_v1/types_.rst @@ -0,0 +1,6 @@ +Types for Google Cloud Documentai v1 API +======================================== + +.. automodule:: google.cloud.documentai_v1.types + :members: + :show-inheritance: diff --git a/owl-bot-staging/google-cloud-documentai/v1/docs/index.rst b/owl-bot-staging/google-cloud-documentai/v1/docs/index.rst new file mode 100644 index 000000000000..c907db5bf4d2 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/docs/index.rst @@ -0,0 +1,7 @@ +API Reference +------------- +.. toctree:: + :maxdepth: 2 + + documentai_v1/services + documentai_v1/types diff --git a/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai/__init__.py b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai/__init__.py new file mode 100644 index 000000000000..30e09b4d0d1b --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai/__init__.py @@ -0,0 +1,167 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from google.cloud.documentai import gapic_version as package_version + +__version__ = package_version.__version__ + + +from google.cloud.documentai_v1.services.document_processor_service.client import DocumentProcessorServiceClient +from google.cloud.documentai_v1.services.document_processor_service.async_client import DocumentProcessorServiceAsyncClient + +from google.cloud.documentai_v1.types.barcode import Barcode +from google.cloud.documentai_v1.types.document import Document +from google.cloud.documentai_v1.types.document_io import BatchDocumentsInputConfig +from google.cloud.documentai_v1.types.document_io import DocumentOutputConfig +from google.cloud.documentai_v1.types.document_io import GcsDocument +from google.cloud.documentai_v1.types.document_io import GcsDocuments +from google.cloud.documentai_v1.types.document_io import GcsPrefix +from google.cloud.documentai_v1.types.document_io import OcrConfig +from google.cloud.documentai_v1.types.document_io import RawDocument +from google.cloud.documentai_v1.types.document_processor_service import BatchProcessMetadata +from google.cloud.documentai_v1.types.document_processor_service import BatchProcessRequest +from google.cloud.documentai_v1.types.document_processor_service import BatchProcessResponse +from google.cloud.documentai_v1.types.document_processor_service import CreateProcessorRequest +from google.cloud.documentai_v1.types.document_processor_service import DeleteProcessorMetadata +from google.cloud.documentai_v1.types.document_processor_service import DeleteProcessorRequest +from google.cloud.documentai_v1.types.document_processor_service import DeleteProcessorVersionMetadata +from google.cloud.documentai_v1.types.document_processor_service import DeleteProcessorVersionRequest +from google.cloud.documentai_v1.types.document_processor_service import DeployProcessorVersionMetadata +from google.cloud.documentai_v1.types.document_processor_service import DeployProcessorVersionRequest +from google.cloud.documentai_v1.types.document_processor_service import DeployProcessorVersionResponse +from google.cloud.documentai_v1.types.document_processor_service import DisableProcessorMetadata +from google.cloud.documentai_v1.types.document_processor_service import DisableProcessorRequest +from google.cloud.documentai_v1.types.document_processor_service import DisableProcessorResponse +from google.cloud.documentai_v1.types.document_processor_service import EnableProcessorMetadata +from google.cloud.documentai_v1.types.document_processor_service import EnableProcessorRequest +from google.cloud.documentai_v1.types.document_processor_service import EnableProcessorResponse +from google.cloud.documentai_v1.types.document_processor_service import EvaluateProcessorVersionMetadata +from google.cloud.documentai_v1.types.document_processor_service import EvaluateProcessorVersionRequest +from google.cloud.documentai_v1.types.document_processor_service import EvaluateProcessorVersionResponse +from google.cloud.documentai_v1.types.document_processor_service import FetchProcessorTypesRequest +from google.cloud.documentai_v1.types.document_processor_service import FetchProcessorTypesResponse +from google.cloud.documentai_v1.types.document_processor_service import GetEvaluationRequest +from google.cloud.documentai_v1.types.document_processor_service import GetProcessorRequest +from google.cloud.documentai_v1.types.document_processor_service import GetProcessorTypeRequest +from google.cloud.documentai_v1.types.document_processor_service import GetProcessorVersionRequest +from google.cloud.documentai_v1.types.document_processor_service import HumanReviewStatus +from google.cloud.documentai_v1.types.document_processor_service import ListEvaluationsRequest +from google.cloud.documentai_v1.types.document_processor_service import ListEvaluationsResponse +from google.cloud.documentai_v1.types.document_processor_service import ListProcessorsRequest +from google.cloud.documentai_v1.types.document_processor_service import ListProcessorsResponse +from google.cloud.documentai_v1.types.document_processor_service import ListProcessorTypesRequest +from google.cloud.documentai_v1.types.document_processor_service import ListProcessorTypesResponse +from google.cloud.documentai_v1.types.document_processor_service import ListProcessorVersionsRequest +from google.cloud.documentai_v1.types.document_processor_service import ListProcessorVersionsResponse +from google.cloud.documentai_v1.types.document_processor_service import ProcessOptions +from google.cloud.documentai_v1.types.document_processor_service import ProcessRequest +from google.cloud.documentai_v1.types.document_processor_service import ProcessResponse +from google.cloud.documentai_v1.types.document_processor_service import ReviewDocumentOperationMetadata +from google.cloud.documentai_v1.types.document_processor_service import ReviewDocumentRequest +from google.cloud.documentai_v1.types.document_processor_service import ReviewDocumentResponse +from google.cloud.documentai_v1.types.document_processor_service import SetDefaultProcessorVersionMetadata +from google.cloud.documentai_v1.types.document_processor_service import SetDefaultProcessorVersionRequest +from google.cloud.documentai_v1.types.document_processor_service import SetDefaultProcessorVersionResponse +from google.cloud.documentai_v1.types.document_processor_service import TrainProcessorVersionMetadata +from google.cloud.documentai_v1.types.document_processor_service import TrainProcessorVersionRequest +from google.cloud.documentai_v1.types.document_processor_service import TrainProcessorVersionResponse +from google.cloud.documentai_v1.types.document_processor_service import UndeployProcessorVersionMetadata +from google.cloud.documentai_v1.types.document_processor_service import UndeployProcessorVersionRequest +from google.cloud.documentai_v1.types.document_processor_service import UndeployProcessorVersionResponse +from google.cloud.documentai_v1.types.document_schema import DocumentSchema +from google.cloud.documentai_v1.types.evaluation import Evaluation +from google.cloud.documentai_v1.types.evaluation import EvaluationReference +from google.cloud.documentai_v1.types.geometry import BoundingPoly +from google.cloud.documentai_v1.types.geometry import NormalizedVertex +from google.cloud.documentai_v1.types.geometry import Vertex +from google.cloud.documentai_v1.types.operation_metadata import CommonOperationMetadata +from google.cloud.documentai_v1.types.processor import Processor +from google.cloud.documentai_v1.types.processor import ProcessorVersion +from google.cloud.documentai_v1.types.processor import ProcessorVersionAlias +from google.cloud.documentai_v1.types.processor_type import ProcessorType + +__all__ = ('DocumentProcessorServiceClient', + 'DocumentProcessorServiceAsyncClient', + 'Barcode', + 'Document', + 'BatchDocumentsInputConfig', + 'DocumentOutputConfig', + 'GcsDocument', + 'GcsDocuments', + 'GcsPrefix', + 'OcrConfig', + 'RawDocument', + 'BatchProcessMetadata', + 'BatchProcessRequest', + 'BatchProcessResponse', + 'CreateProcessorRequest', + 'DeleteProcessorMetadata', + 'DeleteProcessorRequest', + 'DeleteProcessorVersionMetadata', + 'DeleteProcessorVersionRequest', + 'DeployProcessorVersionMetadata', + 'DeployProcessorVersionRequest', + 'DeployProcessorVersionResponse', + 'DisableProcessorMetadata', + 'DisableProcessorRequest', + 'DisableProcessorResponse', + 'EnableProcessorMetadata', + 'EnableProcessorRequest', + 'EnableProcessorResponse', + 'EvaluateProcessorVersionMetadata', + 'EvaluateProcessorVersionRequest', + 'EvaluateProcessorVersionResponse', + 'FetchProcessorTypesRequest', + 'FetchProcessorTypesResponse', + 'GetEvaluationRequest', + 'GetProcessorRequest', + 'GetProcessorTypeRequest', + 'GetProcessorVersionRequest', + 'HumanReviewStatus', + 'ListEvaluationsRequest', + 'ListEvaluationsResponse', + 'ListProcessorsRequest', + 'ListProcessorsResponse', + 'ListProcessorTypesRequest', + 'ListProcessorTypesResponse', + 'ListProcessorVersionsRequest', + 'ListProcessorVersionsResponse', + 'ProcessOptions', + 'ProcessRequest', + 'ProcessResponse', + 'ReviewDocumentOperationMetadata', + 'ReviewDocumentRequest', + 'ReviewDocumentResponse', + 'SetDefaultProcessorVersionMetadata', + 'SetDefaultProcessorVersionRequest', + 'SetDefaultProcessorVersionResponse', + 'TrainProcessorVersionMetadata', + 'TrainProcessorVersionRequest', + 'TrainProcessorVersionResponse', + 'UndeployProcessorVersionMetadata', + 'UndeployProcessorVersionRequest', + 'UndeployProcessorVersionResponse', + 'DocumentSchema', + 'Evaluation', + 'EvaluationReference', + 'BoundingPoly', + 'NormalizedVertex', + 'Vertex', + 'CommonOperationMetadata', + 'Processor', + 'ProcessorVersion', + 'ProcessorVersionAlias', + 'ProcessorType', +) diff --git a/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai/gapic_version.py b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai/gapic_version.py new file mode 100644 index 000000000000..558c8aab67c5 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai/gapic_version.py @@ -0,0 +1,16 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +__version__ = "0.0.0" # {x-release-please-version} diff --git a/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai/py.typed b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai/py.typed new file mode 100644 index 000000000000..81b450017987 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai/py.typed @@ -0,0 +1,2 @@ +# Marker file for PEP 561. +# The google-cloud-documentai package uses inline types. diff --git a/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/__init__.py b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/__init__.py new file mode 100644 index 000000000000..1128fbeede87 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/__init__.py @@ -0,0 +1,168 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from google.cloud.documentai_v1 import gapic_version as package_version + +__version__ = package_version.__version__ + + +from .services.document_processor_service import DocumentProcessorServiceClient +from .services.document_processor_service import DocumentProcessorServiceAsyncClient + +from .types.barcode import Barcode +from .types.document import Document +from .types.document_io import BatchDocumentsInputConfig +from .types.document_io import DocumentOutputConfig +from .types.document_io import GcsDocument +from .types.document_io import GcsDocuments +from .types.document_io import GcsPrefix +from .types.document_io import OcrConfig +from .types.document_io import RawDocument +from .types.document_processor_service import BatchProcessMetadata +from .types.document_processor_service import BatchProcessRequest +from .types.document_processor_service import BatchProcessResponse +from .types.document_processor_service import CreateProcessorRequest +from .types.document_processor_service import DeleteProcessorMetadata +from .types.document_processor_service import DeleteProcessorRequest +from .types.document_processor_service import DeleteProcessorVersionMetadata +from .types.document_processor_service import DeleteProcessorVersionRequest +from .types.document_processor_service import DeployProcessorVersionMetadata +from .types.document_processor_service import DeployProcessorVersionRequest +from .types.document_processor_service import DeployProcessorVersionResponse +from .types.document_processor_service import DisableProcessorMetadata +from .types.document_processor_service import DisableProcessorRequest +from .types.document_processor_service import DisableProcessorResponse +from .types.document_processor_service import EnableProcessorMetadata +from .types.document_processor_service import EnableProcessorRequest +from .types.document_processor_service import EnableProcessorResponse +from .types.document_processor_service import EvaluateProcessorVersionMetadata +from .types.document_processor_service import EvaluateProcessorVersionRequest +from .types.document_processor_service import EvaluateProcessorVersionResponse +from .types.document_processor_service import FetchProcessorTypesRequest +from .types.document_processor_service import FetchProcessorTypesResponse +from .types.document_processor_service import GetEvaluationRequest +from .types.document_processor_service import GetProcessorRequest +from .types.document_processor_service import GetProcessorTypeRequest +from .types.document_processor_service import GetProcessorVersionRequest +from .types.document_processor_service import HumanReviewStatus +from .types.document_processor_service import ListEvaluationsRequest +from .types.document_processor_service import ListEvaluationsResponse +from .types.document_processor_service import ListProcessorsRequest +from .types.document_processor_service import ListProcessorsResponse +from .types.document_processor_service import ListProcessorTypesRequest +from .types.document_processor_service import ListProcessorTypesResponse +from .types.document_processor_service import ListProcessorVersionsRequest +from .types.document_processor_service import ListProcessorVersionsResponse +from .types.document_processor_service import ProcessOptions +from .types.document_processor_service import ProcessRequest +from .types.document_processor_service import ProcessResponse +from .types.document_processor_service import ReviewDocumentOperationMetadata +from .types.document_processor_service import ReviewDocumentRequest +from .types.document_processor_service import ReviewDocumentResponse +from .types.document_processor_service import SetDefaultProcessorVersionMetadata +from .types.document_processor_service import SetDefaultProcessorVersionRequest +from .types.document_processor_service import SetDefaultProcessorVersionResponse +from .types.document_processor_service import TrainProcessorVersionMetadata +from .types.document_processor_service import TrainProcessorVersionRequest +from .types.document_processor_service import TrainProcessorVersionResponse +from .types.document_processor_service import UndeployProcessorVersionMetadata +from .types.document_processor_service import UndeployProcessorVersionRequest +from .types.document_processor_service import UndeployProcessorVersionResponse +from .types.document_schema import DocumentSchema +from .types.evaluation import Evaluation +from .types.evaluation import EvaluationReference +from .types.geometry import BoundingPoly +from .types.geometry import NormalizedVertex +from .types.geometry import Vertex +from .types.operation_metadata import CommonOperationMetadata +from .types.processor import Processor +from .types.processor import ProcessorVersion +from .types.processor import ProcessorVersionAlias +from .types.processor_type import ProcessorType + +__all__ = ( + 'DocumentProcessorServiceAsyncClient', +'Barcode', +'BatchDocumentsInputConfig', +'BatchProcessMetadata', +'BatchProcessRequest', +'BatchProcessResponse', +'BoundingPoly', +'CommonOperationMetadata', +'CreateProcessorRequest', +'DeleteProcessorMetadata', +'DeleteProcessorRequest', +'DeleteProcessorVersionMetadata', +'DeleteProcessorVersionRequest', +'DeployProcessorVersionMetadata', +'DeployProcessorVersionRequest', +'DeployProcessorVersionResponse', +'DisableProcessorMetadata', +'DisableProcessorRequest', +'DisableProcessorResponse', +'Document', +'DocumentOutputConfig', +'DocumentProcessorServiceClient', +'DocumentSchema', +'EnableProcessorMetadata', +'EnableProcessorRequest', +'EnableProcessorResponse', +'EvaluateProcessorVersionMetadata', +'EvaluateProcessorVersionRequest', +'EvaluateProcessorVersionResponse', +'Evaluation', +'EvaluationReference', +'FetchProcessorTypesRequest', +'FetchProcessorTypesResponse', +'GcsDocument', +'GcsDocuments', +'GcsPrefix', +'GetEvaluationRequest', +'GetProcessorRequest', +'GetProcessorTypeRequest', +'GetProcessorVersionRequest', +'HumanReviewStatus', +'ListEvaluationsRequest', +'ListEvaluationsResponse', +'ListProcessorTypesRequest', +'ListProcessorTypesResponse', +'ListProcessorVersionsRequest', +'ListProcessorVersionsResponse', +'ListProcessorsRequest', +'ListProcessorsResponse', +'NormalizedVertex', +'OcrConfig', +'ProcessOptions', +'ProcessRequest', +'ProcessResponse', +'Processor', +'ProcessorType', +'ProcessorVersion', +'ProcessorVersionAlias', +'RawDocument', +'ReviewDocumentOperationMetadata', +'ReviewDocumentRequest', +'ReviewDocumentResponse', +'SetDefaultProcessorVersionMetadata', +'SetDefaultProcessorVersionRequest', +'SetDefaultProcessorVersionResponse', +'TrainProcessorVersionMetadata', +'TrainProcessorVersionRequest', +'TrainProcessorVersionResponse', +'UndeployProcessorVersionMetadata', +'UndeployProcessorVersionRequest', +'UndeployProcessorVersionResponse', +'Vertex', +) diff --git a/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/gapic_metadata.json b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/gapic_metadata.json new file mode 100644 index 000000000000..863c39a36917 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/gapic_metadata.json @@ -0,0 +1,358 @@ + { + "comment": "This file maps proto services/RPCs to the corresponding library clients/methods", + "language": "python", + "libraryPackage": "google.cloud.documentai_v1", + "protoPackage": "google.cloud.documentai.v1", + "schema": "1.0", + "services": { + "DocumentProcessorService": { + "clients": { + "grpc": { + "libraryClient": "DocumentProcessorServiceClient", + "rpcs": { + "BatchProcessDocuments": { + "methods": [ + "batch_process_documents" + ] + }, + "CreateProcessor": { + "methods": [ + "create_processor" + ] + }, + "DeleteProcessor": { + "methods": [ + "delete_processor" + ] + }, + "DeleteProcessorVersion": { + "methods": [ + "delete_processor_version" + ] + }, + "DeployProcessorVersion": { + "methods": [ + "deploy_processor_version" + ] + }, + "DisableProcessor": { + "methods": [ + "disable_processor" + ] + }, + "EnableProcessor": { + "methods": [ + "enable_processor" + ] + }, + "EvaluateProcessorVersion": { + "methods": [ + "evaluate_processor_version" + ] + }, + "FetchProcessorTypes": { + "methods": [ + "fetch_processor_types" + ] + }, + "GetEvaluation": { + "methods": [ + "get_evaluation" + ] + }, + "GetProcessor": { + "methods": [ + "get_processor" + ] + }, + "GetProcessorType": { + "methods": [ + "get_processor_type" + ] + }, + "GetProcessorVersion": { + "methods": [ + "get_processor_version" + ] + }, + "ListEvaluations": { + "methods": [ + "list_evaluations" + ] + }, + "ListProcessorTypes": { + "methods": [ + "list_processor_types" + ] + }, + "ListProcessorVersions": { + "methods": [ + "list_processor_versions" + ] + }, + "ListProcessors": { + "methods": [ + "list_processors" + ] + }, + "ProcessDocument": { + "methods": [ + "process_document" + ] + }, + "ReviewDocument": { + "methods": [ + "review_document" + ] + }, + "SetDefaultProcessorVersion": { + "methods": [ + "set_default_processor_version" + ] + }, + "TrainProcessorVersion": { + "methods": [ + "train_processor_version" + ] + }, + "UndeployProcessorVersion": { + "methods": [ + "undeploy_processor_version" + ] + } + } + }, + "grpc-async": { + "libraryClient": "DocumentProcessorServiceAsyncClient", + "rpcs": { + "BatchProcessDocuments": { + "methods": [ + "batch_process_documents" + ] + }, + "CreateProcessor": { + "methods": [ + "create_processor" + ] + }, + "DeleteProcessor": { + "methods": [ + "delete_processor" + ] + }, + "DeleteProcessorVersion": { + "methods": [ + "delete_processor_version" + ] + }, + "DeployProcessorVersion": { + "methods": [ + "deploy_processor_version" + ] + }, + "DisableProcessor": { + "methods": [ + "disable_processor" + ] + }, + "EnableProcessor": { + "methods": [ + "enable_processor" + ] + }, + "EvaluateProcessorVersion": { + "methods": [ + "evaluate_processor_version" + ] + }, + "FetchProcessorTypes": { + "methods": [ + "fetch_processor_types" + ] + }, + "GetEvaluation": { + "methods": [ + "get_evaluation" + ] + }, + "GetProcessor": { + "methods": [ + "get_processor" + ] + }, + "GetProcessorType": { + "methods": [ + "get_processor_type" + ] + }, + "GetProcessorVersion": { + "methods": [ + "get_processor_version" + ] + }, + "ListEvaluations": { + "methods": [ + "list_evaluations" + ] + }, + "ListProcessorTypes": { + "methods": [ + "list_processor_types" + ] + }, + "ListProcessorVersions": { + "methods": [ + "list_processor_versions" + ] + }, + "ListProcessors": { + "methods": [ + "list_processors" + ] + }, + "ProcessDocument": { + "methods": [ + "process_document" + ] + }, + "ReviewDocument": { + "methods": [ + "review_document" + ] + }, + "SetDefaultProcessorVersion": { + "methods": [ + "set_default_processor_version" + ] + }, + "TrainProcessorVersion": { + "methods": [ + "train_processor_version" + ] + }, + "UndeployProcessorVersion": { + "methods": [ + "undeploy_processor_version" + ] + } + } + }, + "rest": { + "libraryClient": "DocumentProcessorServiceClient", + "rpcs": { + "BatchProcessDocuments": { + "methods": [ + "batch_process_documents" + ] + }, + "CreateProcessor": { + "methods": [ + "create_processor" + ] + }, + "DeleteProcessor": { + "methods": [ + "delete_processor" + ] + }, + "DeleteProcessorVersion": { + "methods": [ + "delete_processor_version" + ] + }, + "DeployProcessorVersion": { + "methods": [ + "deploy_processor_version" + ] + }, + "DisableProcessor": { + "methods": [ + "disable_processor" + ] + }, + "EnableProcessor": { + "methods": [ + "enable_processor" + ] + }, + "EvaluateProcessorVersion": { + "methods": [ + "evaluate_processor_version" + ] + }, + "FetchProcessorTypes": { + "methods": [ + "fetch_processor_types" + ] + }, + "GetEvaluation": { + "methods": [ + "get_evaluation" + ] + }, + "GetProcessor": { + "methods": [ + "get_processor" + ] + }, + "GetProcessorType": { + "methods": [ + "get_processor_type" + ] + }, + "GetProcessorVersion": { + "methods": [ + "get_processor_version" + ] + }, + "ListEvaluations": { + "methods": [ + "list_evaluations" + ] + }, + "ListProcessorTypes": { + "methods": [ + "list_processor_types" + ] + }, + "ListProcessorVersions": { + "methods": [ + "list_processor_versions" + ] + }, + "ListProcessors": { + "methods": [ + "list_processors" + ] + }, + "ProcessDocument": { + "methods": [ + "process_document" + ] + }, + "ReviewDocument": { + "methods": [ + "review_document" + ] + }, + "SetDefaultProcessorVersion": { + "methods": [ + "set_default_processor_version" + ] + }, + "TrainProcessorVersion": { + "methods": [ + "train_processor_version" + ] + }, + "UndeployProcessorVersion": { + "methods": [ + "undeploy_processor_version" + ] + } + } + } + } + } + } +} diff --git a/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/gapic_version.py b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/gapic_version.py new file mode 100644 index 000000000000..558c8aab67c5 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/gapic_version.py @@ -0,0 +1,16 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +__version__ = "0.0.0" # {x-release-please-version} diff --git a/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/py.typed b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/py.typed new file mode 100644 index 000000000000..81b450017987 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/py.typed @@ -0,0 +1,2 @@ +# Marker file for PEP 561. +# The google-cloud-documentai package uses inline types. diff --git a/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/services/__init__.py b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/services/__init__.py new file mode 100644 index 000000000000..8f6cf068242c --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/services/__init__.py @@ -0,0 +1,15 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# diff --git a/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/services/document_processor_service/__init__.py b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/services/document_processor_service/__init__.py new file mode 100644 index 000000000000..326eb2c14112 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/services/document_processor_service/__init__.py @@ -0,0 +1,22 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from .client import DocumentProcessorServiceClient +from .async_client import DocumentProcessorServiceAsyncClient + +__all__ = ( + 'DocumentProcessorServiceClient', + 'DocumentProcessorServiceAsyncClient', +) diff --git a/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/services/document_processor_service/async_client.py b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/services/document_processor_service/async_client.py new file mode 100644 index 000000000000..1bec884a525a --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/services/document_processor_service/async_client.py @@ -0,0 +1,3127 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +import functools +import re +from typing import Dict, Mapping, MutableMapping, MutableSequence, Optional, Sequence, Tuple, Type, Union + +from google.cloud.documentai_v1 import gapic_version as package_version + +from google.api_core.client_options import ClientOptions +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry_async as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore + +try: + OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.AsyncRetry, object, None] # type: ignore + +from google.api import launch_stage_pb2 # type: ignore +from google.api_core import operation # type: ignore +from google.api_core import operation_async # type: ignore +from google.cloud.documentai_v1.services.document_processor_service import pagers +from google.cloud.documentai_v1.types import document +from google.cloud.documentai_v1.types import document_processor_service +from google.cloud.documentai_v1.types import document_schema +from google.cloud.documentai_v1.types import evaluation +from google.cloud.documentai_v1.types import processor +from google.cloud.documentai_v1.types import processor as gcd_processor +from google.cloud.documentai_v1.types import processor_type +from google.cloud.location import locations_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +from google.protobuf import empty_pb2 # type: ignore +from google.protobuf import timestamp_pb2 # type: ignore +from .transports.base import DocumentProcessorServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc_asyncio import DocumentProcessorServiceGrpcAsyncIOTransport +from .client import DocumentProcessorServiceClient + + +class DocumentProcessorServiceAsyncClient: + """Service to call Document AI to process documents according to + the processor's definition. Processors are built using + state-of-the-art Google AI such as natural language, computer + vision, and translation to extract structured information from + unstructured or semi-structured documents. + """ + + _client: DocumentProcessorServiceClient + + # Copy defaults from the synchronous client for use here. + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = DocumentProcessorServiceClient.DEFAULT_ENDPOINT + DEFAULT_MTLS_ENDPOINT = DocumentProcessorServiceClient.DEFAULT_MTLS_ENDPOINT + _DEFAULT_ENDPOINT_TEMPLATE = DocumentProcessorServiceClient._DEFAULT_ENDPOINT_TEMPLATE + _DEFAULT_UNIVERSE = DocumentProcessorServiceClient._DEFAULT_UNIVERSE + + evaluation_path = staticmethod(DocumentProcessorServiceClient.evaluation_path) + parse_evaluation_path = staticmethod(DocumentProcessorServiceClient.parse_evaluation_path) + human_review_config_path = staticmethod(DocumentProcessorServiceClient.human_review_config_path) + parse_human_review_config_path = staticmethod(DocumentProcessorServiceClient.parse_human_review_config_path) + processor_path = staticmethod(DocumentProcessorServiceClient.processor_path) + parse_processor_path = staticmethod(DocumentProcessorServiceClient.parse_processor_path) + processor_type_path = staticmethod(DocumentProcessorServiceClient.processor_type_path) + parse_processor_type_path = staticmethod(DocumentProcessorServiceClient.parse_processor_type_path) + processor_version_path = staticmethod(DocumentProcessorServiceClient.processor_version_path) + parse_processor_version_path = staticmethod(DocumentProcessorServiceClient.parse_processor_version_path) + common_billing_account_path = staticmethod(DocumentProcessorServiceClient.common_billing_account_path) + parse_common_billing_account_path = staticmethod(DocumentProcessorServiceClient.parse_common_billing_account_path) + common_folder_path = staticmethod(DocumentProcessorServiceClient.common_folder_path) + parse_common_folder_path = staticmethod(DocumentProcessorServiceClient.parse_common_folder_path) + common_organization_path = staticmethod(DocumentProcessorServiceClient.common_organization_path) + parse_common_organization_path = staticmethod(DocumentProcessorServiceClient.parse_common_organization_path) + common_project_path = staticmethod(DocumentProcessorServiceClient.common_project_path) + parse_common_project_path = staticmethod(DocumentProcessorServiceClient.parse_common_project_path) + common_location_path = staticmethod(DocumentProcessorServiceClient.common_location_path) + parse_common_location_path = staticmethod(DocumentProcessorServiceClient.parse_common_location_path) + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + DocumentProcessorServiceAsyncClient: The constructed client. + """ + return DocumentProcessorServiceClient.from_service_account_info.__func__(DocumentProcessorServiceAsyncClient, info, *args, **kwargs) # type: ignore + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + DocumentProcessorServiceAsyncClient: The constructed client. + """ + return DocumentProcessorServiceClient.from_service_account_file.__func__(DocumentProcessorServiceAsyncClient, filename, *args, **kwargs) # type: ignore + + from_service_account_json = from_service_account_file + + @classmethod + def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[ClientOptions] = None): + """Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + return DocumentProcessorServiceClient.get_mtls_endpoint_and_cert_source(client_options) # type: ignore + + @property + def transport(self) -> DocumentProcessorServiceTransport: + """Returns the transport used by the client instance. + + Returns: + DocumentProcessorServiceTransport: The transport used by the client instance. + """ + return self._client.transport + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._client._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used + by the client instance. + """ + return self._client._universe_domain + + get_transport_class = functools.partial(type(DocumentProcessorServiceClient).get_transport_class, type(DocumentProcessorServiceClient)) + + def __init__(self, *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Union[str, DocumentProcessorServiceTransport] = "grpc_asyncio", + client_options: Optional[ClientOptions] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the document processor service async client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Union[str, ~.DocumentProcessorServiceTransport]): The + transport to use. If set to None, a transport is chosen + automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client = DocumentProcessorServiceClient( + credentials=credentials, + transport=transport, + client_options=client_options, + client_info=client_info, + + ) + + async def process_document(self, + request: Optional[Union[document_processor_service.ProcessRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> document_processor_service.ProcessResponse: + r"""Processes a single document. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1 + + async def sample_process_document(): + # Create a client + client = documentai_v1.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + inline_document = documentai_v1.Document() + inline_document.uri = "uri_value" + + request = documentai_v1.ProcessRequest( + inline_document=inline_document, + name="name_value", + ) + + # Make the request + response = await client.process_document(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1.types.ProcessRequest, dict]]): + The request object. Request message for the + [ProcessDocument][google.cloud.documentai.v1.DocumentProcessorService.ProcessDocument] + method. + name (:class:`str`): + Required. The resource name of the + [Processor][google.cloud.documentai.v1.Processor] or + [ProcessorVersion][google.cloud.documentai.v1.ProcessorVersion] + to use for processing. If a + [Processor][google.cloud.documentai.v1.Processor] is + specified, the server will use its [default + version][google.cloud.documentai.v1.Processor.default_processor_version]. + Format: + ``projects/{project}/locations/{location}/processors/{processor}``, + or + ``projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processorVersion}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1.types.ProcessResponse: + Response message for the + [ProcessDocument][google.cloud.documentai.v1.DocumentProcessorService.ProcessDocument] + method. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = document_processor_service.ProcessRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.process_document, + default_retry=retries.AsyncRetry( +initial=0.1,maximum=60.0,multiplier=1.3, predicate=retries.if_exception_type( + core_exceptions.DeadlineExceeded, + core_exceptions.ServiceUnavailable, + ), + deadline=300.0, + ), + default_timeout=300.0, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def batch_process_documents(self, + request: Optional[Union[document_processor_service.BatchProcessRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation_async.AsyncOperation: + r"""LRO endpoint to batch process many documents. The output is + written to Cloud Storage as JSON in the [Document] format. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1 + + async def sample_batch_process_documents(): + # Create a client + client = documentai_v1.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1.BatchProcessRequest( + name="name_value", + ) + + # Make the request + operation = client.batch_process_documents(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1.types.BatchProcessRequest, dict]]): + The request object. Request message for + [BatchProcessDocuments][google.cloud.documentai.v1.DocumentProcessorService.BatchProcessDocuments]. + name (:class:`str`): + Required. The resource name of + [Processor][google.cloud.documentai.v1.Processor] or + [ProcessorVersion][google.cloud.documentai.v1.ProcessorVersion]. + Format: + ``projects/{project}/locations/{location}/processors/{processor}``, + or + ``projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processorVersion}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.documentai_v1.types.BatchProcessResponse` Response message for + [BatchProcessDocuments][google.cloud.documentai.v1.DocumentProcessorService.BatchProcessDocuments]. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = document_processor_service.BatchProcessRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.batch_process_documents, + default_retry=retries.AsyncRetry( +initial=0.1,maximum=60.0,multiplier=1.3, predicate=retries.if_exception_type( + core_exceptions.DeadlineExceeded, + core_exceptions.ServiceUnavailable, + ), + deadline=120.0, + ), + default_timeout=120.0, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + document_processor_service.BatchProcessResponse, + metadata_type=document_processor_service.BatchProcessMetadata, + ) + + # Done; return the response. + return response + + async def fetch_processor_types(self, + request: Optional[Union[document_processor_service.FetchProcessorTypesRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> document_processor_service.FetchProcessorTypesResponse: + r"""Fetches processor types. Note that we don't use + [ListProcessorTypes][google.cloud.documentai.v1.DocumentProcessorService.ListProcessorTypes] + here, because it isn't paginated. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1 + + async def sample_fetch_processor_types(): + # Create a client + client = documentai_v1.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1.FetchProcessorTypesRequest( + parent="parent_value", + ) + + # Make the request + response = await client.fetch_processor_types(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1.types.FetchProcessorTypesRequest, dict]]): + The request object. Request message for the + [FetchProcessorTypes][google.cloud.documentai.v1.DocumentProcessorService.FetchProcessorTypes] + method. Some processor types may require the project be + added to an allowlist. + parent (:class:`str`): + Required. The location of processor types to list. + Format: ``projects/{project}/locations/{location}``. + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1.types.FetchProcessorTypesResponse: + Response message for the + [FetchProcessorTypes][google.cloud.documentai.v1.DocumentProcessorService.FetchProcessorTypes] + method. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([parent]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = document_processor_service.FetchProcessorTypesRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.fetch_processor_types, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_processor_types(self, + request: Optional[Union[document_processor_service.ListProcessorTypesRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> pagers.ListProcessorTypesAsyncPager: + r"""Lists the processor types that exist. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1 + + async def sample_list_processor_types(): + # Create a client + client = documentai_v1.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1.ListProcessorTypesRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_processor_types(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1.types.ListProcessorTypesRequest, dict]]): + The request object. Request message for the + [ListProcessorTypes][google.cloud.documentai.v1.DocumentProcessorService.ListProcessorTypes] + method. Some processor types may require the project be + added to an allowlist. + parent (:class:`str`): + Required. The location of processor types to list. + Format: ``projects/{project}/locations/{location}``. + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1.services.document_processor_service.pagers.ListProcessorTypesAsyncPager: + Response message for the + [ListProcessorTypes][google.cloud.documentai.v1.DocumentProcessorService.ListProcessorTypes] + method. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([parent]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = document_processor_service.ListProcessorTypesRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.list_processor_types, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListProcessorTypesAsyncPager( + method=rpc, + request=request, + response=response, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_processor_type(self, + request: Optional[Union[document_processor_service.GetProcessorTypeRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> processor_type.ProcessorType: + r"""Gets a processor type detail. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1 + + async def sample_get_processor_type(): + # Create a client + client = documentai_v1.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1.GetProcessorTypeRequest( + name="name_value", + ) + + # Make the request + response = await client.get_processor_type(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1.types.GetProcessorTypeRequest, dict]]): + The request object. Request message for the + [GetProcessorType][google.cloud.documentai.v1.DocumentProcessorService.GetProcessorType] + method. + name (:class:`str`): + Required. The processor type resource + name. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1.types.ProcessorType: + A processor type is responsible for + performing a certain document + understanding task on a certain type of + document. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = document_processor_service.GetProcessorTypeRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.get_processor_type, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_processors(self, + request: Optional[Union[document_processor_service.ListProcessorsRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> pagers.ListProcessorsAsyncPager: + r"""Lists all processors which belong to this project. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1 + + async def sample_list_processors(): + # Create a client + client = documentai_v1.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1.ListProcessorsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_processors(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1.types.ListProcessorsRequest, dict]]): + The request object. Request message for list all + processors belongs to a project. + parent (:class:`str`): + Required. The parent (project and location) which owns + this collection of Processors. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1.services.document_processor_service.pagers.ListProcessorsAsyncPager: + Response message for the + [ListProcessors][google.cloud.documentai.v1.DocumentProcessorService.ListProcessors] + method. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([parent]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = document_processor_service.ListProcessorsRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.list_processors, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListProcessorsAsyncPager( + method=rpc, + request=request, + response=response, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_processor(self, + request: Optional[Union[document_processor_service.GetProcessorRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> processor.Processor: + r"""Gets a processor detail. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1 + + async def sample_get_processor(): + # Create a client + client = documentai_v1.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1.GetProcessorRequest( + name="name_value", + ) + + # Make the request + response = await client.get_processor(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1.types.GetProcessorRequest, dict]]): + The request object. Request message for the + [GetProcessor][google.cloud.documentai.v1.DocumentProcessorService.GetProcessor] + method. + name (:class:`str`): + Required. The processor resource + name. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1.types.Processor: + The first-class citizen for Document + AI. Each processor defines how to + extract structural information from a + document. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = document_processor_service.GetProcessorRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.get_processor, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def train_processor_version(self, + request: Optional[Union[document_processor_service.TrainProcessorVersionRequest, dict]] = None, + *, + parent: Optional[str] = None, + processor_version: Optional[processor.ProcessorVersion] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation_async.AsyncOperation: + r"""Trains a new processor version. Operation metadata is returned + as + [TrainProcessorVersionMetadata][google.cloud.documentai.v1.TrainProcessorVersionMetadata]. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1 + + async def sample_train_processor_version(): + # Create a client + client = documentai_v1.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1.TrainProcessorVersionRequest( + parent="parent_value", + ) + + # Make the request + operation = client.train_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1.types.TrainProcessorVersionRequest, dict]]): + The request object. Request message for the + [TrainProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.TrainProcessorVersion] + method. + parent (:class:`str`): + Required. The parent (project, location and processor) + to create the new version for. Format: + ``projects/{project}/locations/{location}/processors/{processor}``. + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + processor_version (:class:`google.cloud.documentai_v1.types.ProcessorVersion`): + Required. The processor version to be + created. + + This corresponds to the ``processor_version`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.documentai_v1.types.TrainProcessorVersionResponse` The response for + [TrainProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.TrainProcessorVersion]. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([parent, processor_version]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = document_processor_service.TrainProcessorVersionRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if processor_version is not None: + request.processor_version = processor_version + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.train_processor_version, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + document_processor_service.TrainProcessorVersionResponse, + metadata_type=document_processor_service.TrainProcessorVersionMetadata, + ) + + # Done; return the response. + return response + + async def get_processor_version(self, + request: Optional[Union[document_processor_service.GetProcessorVersionRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> processor.ProcessorVersion: + r"""Gets a processor version detail. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1 + + async def sample_get_processor_version(): + # Create a client + client = documentai_v1.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1.GetProcessorVersionRequest( + name="name_value", + ) + + # Make the request + response = await client.get_processor_version(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1.types.GetProcessorVersionRequest, dict]]): + The request object. Request message for the + [GetProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.GetProcessorVersion] + method. + name (:class:`str`): + Required. The processor resource + name. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1.types.ProcessorVersion: + A processor version is an + implementation of a processor. Each + processor can have multiple versions, + pretrained by Google internally or + uptrained by the customer. A processor + can only have one default version at a + time. Its document-processing behavior + is defined by that version. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = document_processor_service.GetProcessorVersionRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.get_processor_version, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_processor_versions(self, + request: Optional[Union[document_processor_service.ListProcessorVersionsRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> pagers.ListProcessorVersionsAsyncPager: + r"""Lists all versions of a processor. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1 + + async def sample_list_processor_versions(): + # Create a client + client = documentai_v1.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1.ListProcessorVersionsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_processor_versions(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1.types.ListProcessorVersionsRequest, dict]]): + The request object. Request message for list all + processor versions belongs to a + processor. + parent (:class:`str`): + Required. The parent (project, location and processor) + to list all versions. Format: + ``projects/{project}/locations/{location}/processors/{processor}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1.services.document_processor_service.pagers.ListProcessorVersionsAsyncPager: + Response message for the + [ListProcessorVersions][google.cloud.documentai.v1.DocumentProcessorService.ListProcessorVersions] + method. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([parent]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = document_processor_service.ListProcessorVersionsRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.list_processor_versions, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListProcessorVersionsAsyncPager( + method=rpc, + request=request, + response=response, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_processor_version(self, + request: Optional[Union[document_processor_service.DeleteProcessorVersionRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation_async.AsyncOperation: + r"""Deletes the processor version, all artifacts under + the processor version will be deleted. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1 + + async def sample_delete_processor_version(): + # Create a client + client = documentai_v1.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1.DeleteProcessorVersionRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1.types.DeleteProcessorVersionRequest, dict]]): + The request object. Request message for the + [DeleteProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.DeleteProcessorVersion] + method. + name (:class:`str`): + Required. The processor version + resource name to be deleted. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = document_processor_service.DeleteProcessorVersionRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.delete_processor_version, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + empty_pb2.Empty, + metadata_type=document_processor_service.DeleteProcessorVersionMetadata, + ) + + # Done; return the response. + return response + + async def deploy_processor_version(self, + request: Optional[Union[document_processor_service.DeployProcessorVersionRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation_async.AsyncOperation: + r"""Deploys the processor version. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1 + + async def sample_deploy_processor_version(): + # Create a client + client = documentai_v1.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1.DeployProcessorVersionRequest( + name="name_value", + ) + + # Make the request + operation = client.deploy_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1.types.DeployProcessorVersionRequest, dict]]): + The request object. Request message for the + [DeployProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.DeployProcessorVersion] + method. + name (:class:`str`): + Required. The processor version + resource name to be deployed. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.documentai_v1.types.DeployProcessorVersionResponse` Response message for the + [DeployProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.DeployProcessorVersion] + method. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = document_processor_service.DeployProcessorVersionRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.deploy_processor_version, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + document_processor_service.DeployProcessorVersionResponse, + metadata_type=document_processor_service.DeployProcessorVersionMetadata, + ) + + # Done; return the response. + return response + + async def undeploy_processor_version(self, + request: Optional[Union[document_processor_service.UndeployProcessorVersionRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation_async.AsyncOperation: + r"""Undeploys the processor version. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1 + + async def sample_undeploy_processor_version(): + # Create a client + client = documentai_v1.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1.UndeployProcessorVersionRequest( + name="name_value", + ) + + # Make the request + operation = client.undeploy_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1.types.UndeployProcessorVersionRequest, dict]]): + The request object. Request message for the + [UndeployProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.UndeployProcessorVersion] + method. + name (:class:`str`): + Required. The processor version + resource name to be undeployed. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.documentai_v1.types.UndeployProcessorVersionResponse` Response message for the + [UndeployProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.UndeployProcessorVersion] + method. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = document_processor_service.UndeployProcessorVersionRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.undeploy_processor_version, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + document_processor_service.UndeployProcessorVersionResponse, + metadata_type=document_processor_service.UndeployProcessorVersionMetadata, + ) + + # Done; return the response. + return response + + async def create_processor(self, + request: Optional[Union[document_processor_service.CreateProcessorRequest, dict]] = None, + *, + parent: Optional[str] = None, + processor: Optional[gcd_processor.Processor] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> gcd_processor.Processor: + r"""Creates a processor from the + [ProcessorType][google.cloud.documentai.v1.ProcessorType] + provided. The processor will be at ``ENABLED`` state by default + after its creation. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1 + + async def sample_create_processor(): + # Create a client + client = documentai_v1.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1.CreateProcessorRequest( + parent="parent_value", + ) + + # Make the request + response = await client.create_processor(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1.types.CreateProcessorRequest, dict]]): + The request object. Request message for the + [CreateProcessor][google.cloud.documentai.v1.DocumentProcessorService.CreateProcessor] + method. Notice this request is sent to a regionalized + backend service. If the + [ProcessorType][google.cloud.documentai.v1.ProcessorType] + isn't available in that region, the creation fails. + parent (:class:`str`): + Required. The parent (project and location) under which + to create the processor. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + processor (:class:`google.cloud.documentai_v1.types.Processor`): + Required. The processor to be created, requires + [Processor.type][google.cloud.documentai.v1.Processor.type] + and + [Processor.display_name][google.cloud.documentai.v1.Processor.display_name] + to be set. Also, the + [Processor.kms_key_name][google.cloud.documentai.v1.Processor.kms_key_name] + field must be set if the processor is under CMEK. + + This corresponds to the ``processor`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1.types.Processor: + The first-class citizen for Document + AI. Each processor defines how to + extract structural information from a + document. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([parent, processor]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = document_processor_service.CreateProcessorRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if processor is not None: + request.processor = processor + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.create_processor, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_processor(self, + request: Optional[Union[document_processor_service.DeleteProcessorRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation_async.AsyncOperation: + r"""Deletes the processor, unloads all deployed model + artifacts if it was enabled and then deletes all + artifacts associated with this processor. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1 + + async def sample_delete_processor(): + # Create a client + client = documentai_v1.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1.DeleteProcessorRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_processor(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1.types.DeleteProcessorRequest, dict]]): + The request object. Request message for the + [DeleteProcessor][google.cloud.documentai.v1.DocumentProcessorService.DeleteProcessor] + method. + name (:class:`str`): + Required. The processor resource name + to be deleted. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = document_processor_service.DeleteProcessorRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.delete_processor, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + empty_pb2.Empty, + metadata_type=document_processor_service.DeleteProcessorMetadata, + ) + + # Done; return the response. + return response + + async def enable_processor(self, + request: Optional[Union[document_processor_service.EnableProcessorRequest, dict]] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation_async.AsyncOperation: + r"""Enables a processor + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1 + + async def sample_enable_processor(): + # Create a client + client = documentai_v1.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1.EnableProcessorRequest( + name="name_value", + ) + + # Make the request + operation = client.enable_processor(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1.types.EnableProcessorRequest, dict]]): + The request object. Request message for the + [EnableProcessor][google.cloud.documentai.v1.DocumentProcessorService.EnableProcessor] + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.documentai_v1.types.EnableProcessorResponse` Response message for the + [EnableProcessor][google.cloud.documentai.v1.DocumentProcessorService.EnableProcessor] + method. Intentionally empty proto for adding fields + in future. + + """ + # Create or coerce a protobuf request object. + request = document_processor_service.EnableProcessorRequest(request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.enable_processor, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + document_processor_service.EnableProcessorResponse, + metadata_type=document_processor_service.EnableProcessorMetadata, + ) + + # Done; return the response. + return response + + async def disable_processor(self, + request: Optional[Union[document_processor_service.DisableProcessorRequest, dict]] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation_async.AsyncOperation: + r"""Disables a processor + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1 + + async def sample_disable_processor(): + # Create a client + client = documentai_v1.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1.DisableProcessorRequest( + name="name_value", + ) + + # Make the request + operation = client.disable_processor(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1.types.DisableProcessorRequest, dict]]): + The request object. Request message for the + [DisableProcessor][google.cloud.documentai.v1.DocumentProcessorService.DisableProcessor] + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.documentai_v1.types.DisableProcessorResponse` Response message for the + [DisableProcessor][google.cloud.documentai.v1.DocumentProcessorService.DisableProcessor] + method. Intentionally empty proto for adding fields + in future. + + """ + # Create or coerce a protobuf request object. + request = document_processor_service.DisableProcessorRequest(request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.disable_processor, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + document_processor_service.DisableProcessorResponse, + metadata_type=document_processor_service.DisableProcessorMetadata, + ) + + # Done; return the response. + return response + + async def set_default_processor_version(self, + request: Optional[Union[document_processor_service.SetDefaultProcessorVersionRequest, dict]] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation_async.AsyncOperation: + r"""Set the default (active) version of a + [Processor][google.cloud.documentai.v1.Processor] that will be + used in + [ProcessDocument][google.cloud.documentai.v1.DocumentProcessorService.ProcessDocument] + and + [BatchProcessDocuments][google.cloud.documentai.v1.DocumentProcessorService.BatchProcessDocuments]. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1 + + async def sample_set_default_processor_version(): + # Create a client + client = documentai_v1.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1.SetDefaultProcessorVersionRequest( + processor="processor_value", + default_processor_version="default_processor_version_value", + ) + + # Make the request + operation = client.set_default_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1.types.SetDefaultProcessorVersionRequest, dict]]): + The request object. Request message for the + [SetDefaultProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.SetDefaultProcessorVersion] + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.documentai_v1.types.SetDefaultProcessorVersionResponse` Response message for the + [SetDefaultProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.SetDefaultProcessorVersion] + method. + + """ + # Create or coerce a protobuf request object. + request = document_processor_service.SetDefaultProcessorVersionRequest(request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.set_default_processor_version, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("processor", request.processor), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + document_processor_service.SetDefaultProcessorVersionResponse, + metadata_type=document_processor_service.SetDefaultProcessorVersionMetadata, + ) + + # Done; return the response. + return response + + async def review_document(self, + request: Optional[Union[document_processor_service.ReviewDocumentRequest, dict]] = None, + *, + human_review_config: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation_async.AsyncOperation: + r"""Send a document for Human Review. The input document + should be processed by the specified processor. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1 + + async def sample_review_document(): + # Create a client + client = documentai_v1.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + inline_document = documentai_v1.Document() + inline_document.uri = "uri_value" + + request = documentai_v1.ReviewDocumentRequest( + inline_document=inline_document, + human_review_config="human_review_config_value", + ) + + # Make the request + operation = client.review_document(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1.types.ReviewDocumentRequest, dict]]): + The request object. Request message for the + [ReviewDocument][google.cloud.documentai.v1.DocumentProcessorService.ReviewDocument] + method. + human_review_config (:class:`str`): + Required. The resource name of the + [HumanReviewConfig][google.cloud.documentai.v1.HumanReviewConfig] + that the document will be reviewed with. + + This corresponds to the ``human_review_config`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.documentai_v1.types.ReviewDocumentResponse` Response message for the + [ReviewDocument][google.cloud.documentai.v1.DocumentProcessorService.ReviewDocument] + method. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([human_review_config]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = document_processor_service.ReviewDocumentRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if human_review_config is not None: + request.human_review_config = human_review_config + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.review_document, + default_retry=retries.AsyncRetry( +initial=0.1,maximum=60.0,multiplier=1.3, predicate=retries.if_exception_type( + core_exceptions.DeadlineExceeded, + core_exceptions.ServiceUnavailable, + ), + deadline=120.0, + ), + default_timeout=120.0, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("human_review_config", request.human_review_config), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + document_processor_service.ReviewDocumentResponse, + metadata_type=document_processor_service.ReviewDocumentOperationMetadata, + ) + + # Done; return the response. + return response + + async def evaluate_processor_version(self, + request: Optional[Union[document_processor_service.EvaluateProcessorVersionRequest, dict]] = None, + *, + processor_version: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation_async.AsyncOperation: + r"""Evaluates a ProcessorVersion against annotated + documents, producing an Evaluation. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1 + + async def sample_evaluate_processor_version(): + # Create a client + client = documentai_v1.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1.EvaluateProcessorVersionRequest( + processor_version="processor_version_value", + ) + + # Make the request + operation = client.evaluate_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1.types.EvaluateProcessorVersionRequest, dict]]): + The request object. Evaluates the given + [ProcessorVersion][google.cloud.documentai.v1.ProcessorVersion] + against the supplied documents. + processor_version (:class:`str`): + Required. The resource name of the + [ProcessorVersion][google.cloud.documentai.v1.ProcessorVersion] + to evaluate. + ``projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processorVersion}`` + + This corresponds to the ``processor_version`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.documentai_v1.types.EvaluateProcessorVersionResponse` Response of the + [EvaluateProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.EvaluateProcessorVersion] + method. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([processor_version]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = document_processor_service.EvaluateProcessorVersionRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if processor_version is not None: + request.processor_version = processor_version + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.evaluate_processor_version, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("processor_version", request.processor_version), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + document_processor_service.EvaluateProcessorVersionResponse, + metadata_type=document_processor_service.EvaluateProcessorVersionMetadata, + ) + + # Done; return the response. + return response + + async def get_evaluation(self, + request: Optional[Union[document_processor_service.GetEvaluationRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> evaluation.Evaluation: + r"""Retrieves a specific evaluation. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1 + + async def sample_get_evaluation(): + # Create a client + client = documentai_v1.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1.GetEvaluationRequest( + name="name_value", + ) + + # Make the request + response = await client.get_evaluation(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1.types.GetEvaluationRequest, dict]]): + The request object. Retrieves a specific Evaluation. + name (:class:`str`): + Required. The resource name of the + [Evaluation][google.cloud.documentai.v1.Evaluation] to + get. + ``projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processorVersion}/evaluations/{evaluation}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1.types.Evaluation: + An evaluation of a ProcessorVersion's + performance. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = document_processor_service.GetEvaluationRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.get_evaluation, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_evaluations(self, + request: Optional[Union[document_processor_service.ListEvaluationsRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> pagers.ListEvaluationsAsyncPager: + r"""Retrieves a set of evaluations for a given processor + version. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1 + + async def sample_list_evaluations(): + # Create a client + client = documentai_v1.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1.ListEvaluationsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_evaluations(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1.types.ListEvaluationsRequest, dict]]): + The request object. Retrieves a list of evaluations for a given + [ProcessorVersion][google.cloud.documentai.v1.ProcessorVersion]. + parent (:class:`str`): + Required. The resource name of the + [ProcessorVersion][google.cloud.documentai.v1.ProcessorVersion] + to list evaluations for. + ``projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processorVersion}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1.services.document_processor_service.pagers.ListEvaluationsAsyncPager: + The response from ListEvaluations. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([parent]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = document_processor_service.ListEvaluationsRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.list_evaluations, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListEvaluationsAsyncPager( + method=rpc, + request=request, + response=response, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.list_operations, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, retry=retry, timeout=timeout, metadata=metadata,) + + # Done; return the response. + return response + + async def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.get_operation, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, retry=retry, timeout=timeout, metadata=metadata,) + + # Done; return the response. + return response + + async def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.cancel_operation, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc(request, retry=retry, timeout=timeout, metadata=metadata,) + + async def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.get_location, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, retry=retry, timeout=timeout, metadata=metadata,) + + # Done; return the response. + return response + + async def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.list_locations, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, retry=retry, timeout=timeout, metadata=metadata,) + + # Done; return the response. + return response + + async def __aenter__(self) -> "DocumentProcessorServiceAsyncClient": + return self + + async def __aexit__(self, exc_type, exc, tb): + await self.transport.close() + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(gapic_version=package_version.__version__) + + +__all__ = ( + "DocumentProcessorServiceAsyncClient", +) diff --git a/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/services/document_processor_service/client.py b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/services/document_processor_service/client.py new file mode 100644 index 000000000000..3fb58ea490eb --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/services/document_processor_service/client.py @@ -0,0 +1,3492 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +import os +import re +from typing import Dict, Mapping, MutableMapping, MutableSequence, Optional, Sequence, Tuple, Type, Union, cast +import warnings + +from google.cloud.documentai_v1 import gapic_version as package_version + +from google.api_core import client_options as client_options_lib +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport import mtls # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.auth.exceptions import MutualTLSChannelError # type: ignore +from google.oauth2 import service_account # type: ignore + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + +from google.api import launch_stage_pb2 # type: ignore +from google.api_core import operation # type: ignore +from google.api_core import operation_async # type: ignore +from google.cloud.documentai_v1.services.document_processor_service import pagers +from google.cloud.documentai_v1.types import document +from google.cloud.documentai_v1.types import document_processor_service +from google.cloud.documentai_v1.types import document_schema +from google.cloud.documentai_v1.types import evaluation +from google.cloud.documentai_v1.types import processor +from google.cloud.documentai_v1.types import processor as gcd_processor +from google.cloud.documentai_v1.types import processor_type +from google.cloud.location import locations_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +from google.protobuf import empty_pb2 # type: ignore +from google.protobuf import timestamp_pb2 # type: ignore +from .transports.base import DocumentProcessorServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc import DocumentProcessorServiceGrpcTransport +from .transports.grpc_asyncio import DocumentProcessorServiceGrpcAsyncIOTransport +from .transports.rest import DocumentProcessorServiceRestTransport + + +class DocumentProcessorServiceClientMeta(type): + """Metaclass for the DocumentProcessorService client. + + This provides class-level methods for building and retrieving + support objects (e.g. transport) without polluting the client instance + objects. + """ + _transport_registry = OrderedDict() # type: Dict[str, Type[DocumentProcessorServiceTransport]] + _transport_registry["grpc"] = DocumentProcessorServiceGrpcTransport + _transport_registry["grpc_asyncio"] = DocumentProcessorServiceGrpcAsyncIOTransport + _transport_registry["rest"] = DocumentProcessorServiceRestTransport + + def get_transport_class(cls, + label: Optional[str] = None, + ) -> Type[DocumentProcessorServiceTransport]: + """Returns an appropriate transport class. + + Args: + label: The name of the desired transport. If none is + provided, then the first transport in the registry is used. + + Returns: + The transport class to use. + """ + # If a specific transport is requested, return that one. + if label: + return cls._transport_registry[label] + + # No transport is requested; return the default (that is, the first one + # in the dictionary). + return next(iter(cls._transport_registry.values())) + + +class DocumentProcessorServiceClient(metaclass=DocumentProcessorServiceClientMeta): + """Service to call Document AI to process documents according to + the processor's definition. Processors are built using + state-of-the-art Google AI such as natural language, computer + vision, and translation to extract structured information from + unstructured or semi-structured documents. + """ + + @staticmethod + def _get_default_mtls_endpoint(api_endpoint): + """Converts api endpoint to mTLS endpoint. + + Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to + "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively. + Args: + api_endpoint (Optional[str]): the api endpoint to convert. + Returns: + str: converted mTLS api endpoint. + """ + if not api_endpoint: + return api_endpoint + + mtls_endpoint_re = re.compile( + r"(?P[^.]+)(?P\.mtls)?(?P\.sandbox)?(?P\.googleapis\.com)?" + ) + + m = mtls_endpoint_re.match(api_endpoint) + name, mtls, sandbox, googledomain = m.groups() + if mtls or not googledomain: + return api_endpoint + + if sandbox: + return api_endpoint.replace( + "sandbox.googleapis.com", "mtls.sandbox.googleapis.com" + ) + + return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com") + + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = "documentai.googleapis.com" + DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__( # type: ignore + DEFAULT_ENDPOINT + ) + + _DEFAULT_ENDPOINT_TEMPLATE = "documentai.{UNIVERSE_DOMAIN}" + _DEFAULT_UNIVERSE = "googleapis.com" + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + DocumentProcessorServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_info(info) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + DocumentProcessorServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_file( + filename) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + from_service_account_json = from_service_account_file + + @property + def transport(self) -> DocumentProcessorServiceTransport: + """Returns the transport used by the client instance. + + Returns: + DocumentProcessorServiceTransport: The transport used by the client + instance. + """ + return self._transport + + @staticmethod + def evaluation_path(project: str,location: str,processor: str,processor_version: str,evaluation: str,) -> str: + """Returns a fully-qualified evaluation string.""" + return "projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processor_version}/evaluations/{evaluation}".format(project=project, location=location, processor=processor, processor_version=processor_version, evaluation=evaluation, ) + + @staticmethod + def parse_evaluation_path(path: str) -> Dict[str,str]: + """Parses a evaluation path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)/processors/(?P.+?)/processorVersions/(?P.+?)/evaluations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def human_review_config_path(project: str,location: str,processor: str,) -> str: + """Returns a fully-qualified human_review_config string.""" + return "projects/{project}/locations/{location}/processors/{processor}/humanReviewConfig".format(project=project, location=location, processor=processor, ) + + @staticmethod + def parse_human_review_config_path(path: str) -> Dict[str,str]: + """Parses a human_review_config path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)/processors/(?P.+?)/humanReviewConfig$", path) + return m.groupdict() if m else {} + + @staticmethod + def processor_path(project: str,location: str,processor: str,) -> str: + """Returns a fully-qualified processor string.""" + return "projects/{project}/locations/{location}/processors/{processor}".format(project=project, location=location, processor=processor, ) + + @staticmethod + def parse_processor_path(path: str) -> Dict[str,str]: + """Parses a processor path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)/processors/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def processor_type_path(project: str,location: str,processor_type: str,) -> str: + """Returns a fully-qualified processor_type string.""" + return "projects/{project}/locations/{location}/processorTypes/{processor_type}".format(project=project, location=location, processor_type=processor_type, ) + + @staticmethod + def parse_processor_type_path(path: str) -> Dict[str,str]: + """Parses a processor_type path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)/processorTypes/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def processor_version_path(project: str,location: str,processor: str,processor_version: str,) -> str: + """Returns a fully-qualified processor_version string.""" + return "projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processor_version}".format(project=project, location=location, processor=processor, processor_version=processor_version, ) + + @staticmethod + def parse_processor_version_path(path: str) -> Dict[str,str]: + """Parses a processor_version path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)/processors/(?P.+?)/processorVersions/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_billing_account_path(billing_account: str, ) -> str: + """Returns a fully-qualified billing_account string.""" + return "billingAccounts/{billing_account}".format(billing_account=billing_account, ) + + @staticmethod + def parse_common_billing_account_path(path: str) -> Dict[str,str]: + """Parse a billing_account path into its component segments.""" + m = re.match(r"^billingAccounts/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_folder_path(folder: str, ) -> str: + """Returns a fully-qualified folder string.""" + return "folders/{folder}".format(folder=folder, ) + + @staticmethod + def parse_common_folder_path(path: str) -> Dict[str,str]: + """Parse a folder path into its component segments.""" + m = re.match(r"^folders/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_organization_path(organization: str, ) -> str: + """Returns a fully-qualified organization string.""" + return "organizations/{organization}".format(organization=organization, ) + + @staticmethod + def parse_common_organization_path(path: str) -> Dict[str,str]: + """Parse a organization path into its component segments.""" + m = re.match(r"^organizations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_project_path(project: str, ) -> str: + """Returns a fully-qualified project string.""" + return "projects/{project}".format(project=project, ) + + @staticmethod + def parse_common_project_path(path: str) -> Dict[str,str]: + """Parse a project path into its component segments.""" + m = re.match(r"^projects/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_location_path(project: str, location: str, ) -> str: + """Returns a fully-qualified location string.""" + return "projects/{project}/locations/{location}".format(project=project, location=location, ) + + @staticmethod + def parse_common_location_path(path: str) -> Dict[str,str]: + """Parse a location path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @classmethod + def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[client_options_lib.ClientOptions] = None): + """Deprecated. Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + + warnings.warn("get_mtls_endpoint_and_cert_source is deprecated. Use the api_endpoint property instead.", + DeprecationWarning) + if client_options is None: + client_options = client_options_lib.ClientOptions() + use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false") + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto") + if use_client_cert not in ("true", "false"): + raise ValueError("Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError("Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`") + + # Figure out the client cert source to use. + client_cert_source = None + if use_client_cert == "true": + if client_options.client_cert_source: + client_cert_source = client_options.client_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + + # Figure out which api endpoint to use. + if client_options.api_endpoint is not None: + api_endpoint = client_options.api_endpoint + elif use_mtls_endpoint == "always" or (use_mtls_endpoint == "auto" and client_cert_source): + api_endpoint = cls.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = cls.DEFAULT_ENDPOINT + + return api_endpoint, client_cert_source + + @staticmethod + def _read_environment_variables(): + """Returns the environment variables used by the client. + + Returns: + Tuple[bool, str, str]: returns the GOOGLE_API_USE_CLIENT_CERTIFICATE, + GOOGLE_API_USE_MTLS_ENDPOINT, and GOOGLE_CLOUD_UNIVERSE_DOMAIN environment variables. + + Raises: + ValueError: If GOOGLE_API_USE_CLIENT_CERTIFICATE is not + any of ["true", "false"]. + google.auth.exceptions.MutualTLSChannelError: If GOOGLE_API_USE_MTLS_ENDPOINT + is not any of ["auto", "never", "always"]. + """ + use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false").lower() + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto").lower() + universe_domain_env = os.getenv("GOOGLE_CLOUD_UNIVERSE_DOMAIN") + if use_client_cert not in ("true", "false"): + raise ValueError("Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError("Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`") + return use_client_cert == "true", use_mtls_endpoint, universe_domain_env + + @staticmethod + def _get_client_cert_source(provided_cert_source, use_cert_flag): + """Return the client cert source to be used by the client. + + Args: + provided_cert_source (bytes): The client certificate source provided. + use_cert_flag (bool): A flag indicating whether to use the client certificate. + + Returns: + bytes or None: The client cert source to be used by the client. + """ + client_cert_source = None + if use_cert_flag: + if provided_cert_source: + client_cert_source = provided_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + return client_cert_source + + @staticmethod + def _get_api_endpoint(api_override, client_cert_source, universe_domain, use_mtls_endpoint): + """Return the API endpoint used by the client. + + Args: + api_override (str): The API endpoint override. If specified, this is always + the return value of this function and the other arguments are not used. + client_cert_source (bytes): The client certificate source used by the client. + universe_domain (str): The universe domain used by the client. + use_mtls_endpoint (str): How to use the mTLS endpoint, which depends also on the other parameters. + Possible values are "always", "auto", or "never". + + Returns: + str: The API endpoint to be used by the client. + """ + if api_override is not None: + api_endpoint = api_override + elif use_mtls_endpoint == "always" or (use_mtls_endpoint == "auto" and client_cert_source): + _default_universe = DocumentProcessorServiceClient._DEFAULT_UNIVERSE + if universe_domain != _default_universe: + raise MutualTLSChannelError(f"mTLS is not supported in any universe other than {_default_universe}.") + api_endpoint = DocumentProcessorServiceClient.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = DocumentProcessorServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=universe_domain) + return api_endpoint + + @staticmethod + def _get_universe_domain(client_universe_domain: Optional[str], universe_domain_env: Optional[str]) -> str: + """Return the universe domain used by the client. + + Args: + client_universe_domain (Optional[str]): The universe domain configured via the client options. + universe_domain_env (Optional[str]): The universe domain configured via the "GOOGLE_CLOUD_UNIVERSE_DOMAIN" environment variable. + + Returns: + str: The universe domain to be used by the client. + + Raises: + ValueError: If the universe domain is an empty string. + """ + universe_domain = DocumentProcessorServiceClient._DEFAULT_UNIVERSE + if client_universe_domain is not None: + universe_domain = client_universe_domain + elif universe_domain_env is not None: + universe_domain = universe_domain_env + if len(universe_domain.strip()) == 0: + raise ValueError("Universe Domain cannot be an empty string.") + return universe_domain + + @staticmethod + def _compare_universes(client_universe: str, + credentials: ga_credentials.Credentials) -> bool: + """Returns True iff the universe domains used by the client and credentials match. + + Args: + client_universe (str): The universe domain configured via the client options. + credentials (ga_credentials.Credentials): The credentials being used in the client. + + Returns: + bool: True iff client_universe matches the universe in credentials. + + Raises: + ValueError: when client_universe does not match the universe in credentials. + """ + + default_universe = DocumentProcessorServiceClient._DEFAULT_UNIVERSE + credentials_universe = getattr(credentials, "universe_domain", default_universe) + + if client_universe != credentials_universe: + raise ValueError("The configured universe domain " + f"({client_universe}) does not match the universe domain " + f"found in the credentials ({credentials_universe}). " + "If you haven't configured the universe domain explicitly, " + f"`{default_universe}` is the default.") + return True + + def _validate_universe_domain(self): + """Validates client's and credentials' universe domains are consistent. + + Returns: + bool: True iff the configured universe domain is valid. + + Raises: + ValueError: If the configured universe domain is not valid. + """ + self._is_universe_domain_valid = (self._is_universe_domain_valid or + DocumentProcessorServiceClient._compare_universes(self.universe_domain, self.transport._credentials)) + return self._is_universe_domain_valid + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used by the client instance. + """ + return self._universe_domain + + def __init__(self, *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[Union[str, DocumentProcessorServiceTransport]] = None, + client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the document processor service client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Union[str, DocumentProcessorServiceTransport]): The + transport to use. If set to None, a transport is chosen + automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that the ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client_options = client_options + if isinstance(self._client_options, dict): + self._client_options = client_options_lib.from_dict(self._client_options) + if self._client_options is None: + self._client_options = client_options_lib.ClientOptions() + self._client_options = cast(client_options_lib.ClientOptions, self._client_options) + + universe_domain_opt = getattr(self._client_options, 'universe_domain', None) + + self._use_client_cert, self._use_mtls_endpoint, self._universe_domain_env = DocumentProcessorServiceClient._read_environment_variables() + self._client_cert_source = DocumentProcessorServiceClient._get_client_cert_source(self._client_options.client_cert_source, self._use_client_cert) + self._universe_domain = DocumentProcessorServiceClient._get_universe_domain(universe_domain_opt, self._universe_domain_env) + self._api_endpoint = None # updated below, depending on `transport` + + # Initialize the universe domain validation. + self._is_universe_domain_valid = False + + api_key_value = getattr(self._client_options, "api_key", None) + if api_key_value and credentials: + raise ValueError("client_options.api_key and credentials are mutually exclusive") + + # Save or instantiate the transport. + # Ordinarily, we provide the transport, but allowing a custom transport + # instance provides an extensibility point for unusual situations. + transport_provided = isinstance(transport, DocumentProcessorServiceTransport) + if transport_provided: + # transport is a DocumentProcessorServiceTransport instance. + if credentials or self._client_options.credentials_file or api_key_value: + raise ValueError("When providing a transport instance, " + "provide its credentials directly.") + if self._client_options.scopes: + raise ValueError( + "When providing a transport instance, provide its scopes " + "directly." + ) + self._transport = cast(DocumentProcessorServiceTransport, transport) + self._api_endpoint = self._transport.host + + self._api_endpoint = (self._api_endpoint or + DocumentProcessorServiceClient._get_api_endpoint( + self._client_options.api_endpoint, + self._client_cert_source, + self._universe_domain, + self._use_mtls_endpoint)) + + if not transport_provided: + import google.auth._default # type: ignore + + if api_key_value and hasattr(google.auth._default, "get_api_key_credentials"): + credentials = google.auth._default.get_api_key_credentials(api_key_value) + + Transport = type(self).get_transport_class(cast(str, transport)) + self._transport = Transport( + credentials=credentials, + credentials_file=self._client_options.credentials_file, + host=self._api_endpoint, + scopes=self._client_options.scopes, + client_cert_source_for_mtls=self._client_cert_source, + quota_project_id=self._client_options.quota_project_id, + client_info=client_info, + always_use_jwt_access=True, + api_audience=self._client_options.api_audience, + ) + + def process_document(self, + request: Optional[Union[document_processor_service.ProcessRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> document_processor_service.ProcessResponse: + r"""Processes a single document. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1 + + def sample_process_document(): + # Create a client + client = documentai_v1.DocumentProcessorServiceClient() + + # Initialize request argument(s) + inline_document = documentai_v1.Document() + inline_document.uri = "uri_value" + + request = documentai_v1.ProcessRequest( + inline_document=inline_document, + name="name_value", + ) + + # Make the request + response = client.process_document(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.documentai_v1.types.ProcessRequest, dict]): + The request object. Request message for the + [ProcessDocument][google.cloud.documentai.v1.DocumentProcessorService.ProcessDocument] + method. + name (str): + Required. The resource name of the + [Processor][google.cloud.documentai.v1.Processor] or + [ProcessorVersion][google.cloud.documentai.v1.ProcessorVersion] + to use for processing. If a + [Processor][google.cloud.documentai.v1.Processor] is + specified, the server will use its [default + version][google.cloud.documentai.v1.Processor.default_processor_version]. + Format: + ``projects/{project}/locations/{location}/processors/{processor}``, + or + ``projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processorVersion}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1.types.ProcessResponse: + Response message for the + [ProcessDocument][google.cloud.documentai.v1.DocumentProcessorService.ProcessDocument] + method. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a document_processor_service.ProcessRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_processor_service.ProcessRequest): + request = document_processor_service.ProcessRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.process_document] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def batch_process_documents(self, + request: Optional[Union[document_processor_service.BatchProcessRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation.Operation: + r"""LRO endpoint to batch process many documents. The output is + written to Cloud Storage as JSON in the [Document] format. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1 + + def sample_batch_process_documents(): + # Create a client + client = documentai_v1.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1.BatchProcessRequest( + name="name_value", + ) + + # Make the request + operation = client.batch_process_documents(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.documentai_v1.types.BatchProcessRequest, dict]): + The request object. Request message for + [BatchProcessDocuments][google.cloud.documentai.v1.DocumentProcessorService.BatchProcessDocuments]. + name (str): + Required. The resource name of + [Processor][google.cloud.documentai.v1.Processor] or + [ProcessorVersion][google.cloud.documentai.v1.ProcessorVersion]. + Format: + ``projects/{project}/locations/{location}/processors/{processor}``, + or + ``projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processorVersion}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.documentai_v1.types.BatchProcessResponse` Response message for + [BatchProcessDocuments][google.cloud.documentai.v1.DocumentProcessorService.BatchProcessDocuments]. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a document_processor_service.BatchProcessRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_processor_service.BatchProcessRequest): + request = document_processor_service.BatchProcessRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.batch_process_documents] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + document_processor_service.BatchProcessResponse, + metadata_type=document_processor_service.BatchProcessMetadata, + ) + + # Done; return the response. + return response + + def fetch_processor_types(self, + request: Optional[Union[document_processor_service.FetchProcessorTypesRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> document_processor_service.FetchProcessorTypesResponse: + r"""Fetches processor types. Note that we don't use + [ListProcessorTypes][google.cloud.documentai.v1.DocumentProcessorService.ListProcessorTypes] + here, because it isn't paginated. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1 + + def sample_fetch_processor_types(): + # Create a client + client = documentai_v1.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1.FetchProcessorTypesRequest( + parent="parent_value", + ) + + # Make the request + response = client.fetch_processor_types(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.documentai_v1.types.FetchProcessorTypesRequest, dict]): + The request object. Request message for the + [FetchProcessorTypes][google.cloud.documentai.v1.DocumentProcessorService.FetchProcessorTypes] + method. Some processor types may require the project be + added to an allowlist. + parent (str): + Required. The location of processor types to list. + Format: ``projects/{project}/locations/{location}``. + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1.types.FetchProcessorTypesResponse: + Response message for the + [FetchProcessorTypes][google.cloud.documentai.v1.DocumentProcessorService.FetchProcessorTypes] + method. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([parent]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a document_processor_service.FetchProcessorTypesRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_processor_service.FetchProcessorTypesRequest): + request = document_processor_service.FetchProcessorTypesRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.fetch_processor_types] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def list_processor_types(self, + request: Optional[Union[document_processor_service.ListProcessorTypesRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> pagers.ListProcessorTypesPager: + r"""Lists the processor types that exist. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1 + + def sample_list_processor_types(): + # Create a client + client = documentai_v1.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1.ListProcessorTypesRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_processor_types(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.documentai_v1.types.ListProcessorTypesRequest, dict]): + The request object. Request message for the + [ListProcessorTypes][google.cloud.documentai.v1.DocumentProcessorService.ListProcessorTypes] + method. Some processor types may require the project be + added to an allowlist. + parent (str): + Required. The location of processor types to list. + Format: ``projects/{project}/locations/{location}``. + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1.services.document_processor_service.pagers.ListProcessorTypesPager: + Response message for the + [ListProcessorTypes][google.cloud.documentai.v1.DocumentProcessorService.ListProcessorTypes] + method. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([parent]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a document_processor_service.ListProcessorTypesRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_processor_service.ListProcessorTypesRequest): + request = document_processor_service.ListProcessorTypesRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_processor_types] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListProcessorTypesPager( + method=rpc, + request=request, + response=response, + metadata=metadata, + ) + + # Done; return the response. + return response + + def get_processor_type(self, + request: Optional[Union[document_processor_service.GetProcessorTypeRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> processor_type.ProcessorType: + r"""Gets a processor type detail. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1 + + def sample_get_processor_type(): + # Create a client + client = documentai_v1.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1.GetProcessorTypeRequest( + name="name_value", + ) + + # Make the request + response = client.get_processor_type(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.documentai_v1.types.GetProcessorTypeRequest, dict]): + The request object. Request message for the + [GetProcessorType][google.cloud.documentai.v1.DocumentProcessorService.GetProcessorType] + method. + name (str): + Required. The processor type resource + name. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1.types.ProcessorType: + A processor type is responsible for + performing a certain document + understanding task on a certain type of + document. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a document_processor_service.GetProcessorTypeRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_processor_service.GetProcessorTypeRequest): + request = document_processor_service.GetProcessorTypeRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_processor_type] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def list_processors(self, + request: Optional[Union[document_processor_service.ListProcessorsRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> pagers.ListProcessorsPager: + r"""Lists all processors which belong to this project. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1 + + def sample_list_processors(): + # Create a client + client = documentai_v1.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1.ListProcessorsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_processors(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.documentai_v1.types.ListProcessorsRequest, dict]): + The request object. Request message for list all + processors belongs to a project. + parent (str): + Required. The parent (project and location) which owns + this collection of Processors. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1.services.document_processor_service.pagers.ListProcessorsPager: + Response message for the + [ListProcessors][google.cloud.documentai.v1.DocumentProcessorService.ListProcessors] + method. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([parent]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a document_processor_service.ListProcessorsRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_processor_service.ListProcessorsRequest): + request = document_processor_service.ListProcessorsRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_processors] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListProcessorsPager( + method=rpc, + request=request, + response=response, + metadata=metadata, + ) + + # Done; return the response. + return response + + def get_processor(self, + request: Optional[Union[document_processor_service.GetProcessorRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> processor.Processor: + r"""Gets a processor detail. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1 + + def sample_get_processor(): + # Create a client + client = documentai_v1.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1.GetProcessorRequest( + name="name_value", + ) + + # Make the request + response = client.get_processor(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.documentai_v1.types.GetProcessorRequest, dict]): + The request object. Request message for the + [GetProcessor][google.cloud.documentai.v1.DocumentProcessorService.GetProcessor] + method. + name (str): + Required. The processor resource + name. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1.types.Processor: + The first-class citizen for Document + AI. Each processor defines how to + extract structural information from a + document. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a document_processor_service.GetProcessorRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_processor_service.GetProcessorRequest): + request = document_processor_service.GetProcessorRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_processor] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def train_processor_version(self, + request: Optional[Union[document_processor_service.TrainProcessorVersionRequest, dict]] = None, + *, + parent: Optional[str] = None, + processor_version: Optional[processor.ProcessorVersion] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation.Operation: + r"""Trains a new processor version. Operation metadata is returned + as + [TrainProcessorVersionMetadata][google.cloud.documentai.v1.TrainProcessorVersionMetadata]. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1 + + def sample_train_processor_version(): + # Create a client + client = documentai_v1.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1.TrainProcessorVersionRequest( + parent="parent_value", + ) + + # Make the request + operation = client.train_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.documentai_v1.types.TrainProcessorVersionRequest, dict]): + The request object. Request message for the + [TrainProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.TrainProcessorVersion] + method. + parent (str): + Required. The parent (project, location and processor) + to create the new version for. Format: + ``projects/{project}/locations/{location}/processors/{processor}``. + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + processor_version (google.cloud.documentai_v1.types.ProcessorVersion): + Required. The processor version to be + created. + + This corresponds to the ``processor_version`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.documentai_v1.types.TrainProcessorVersionResponse` The response for + [TrainProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.TrainProcessorVersion]. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([parent, processor_version]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a document_processor_service.TrainProcessorVersionRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_processor_service.TrainProcessorVersionRequest): + request = document_processor_service.TrainProcessorVersionRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if processor_version is not None: + request.processor_version = processor_version + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.train_processor_version] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + document_processor_service.TrainProcessorVersionResponse, + metadata_type=document_processor_service.TrainProcessorVersionMetadata, + ) + + # Done; return the response. + return response + + def get_processor_version(self, + request: Optional[Union[document_processor_service.GetProcessorVersionRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> processor.ProcessorVersion: + r"""Gets a processor version detail. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1 + + def sample_get_processor_version(): + # Create a client + client = documentai_v1.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1.GetProcessorVersionRequest( + name="name_value", + ) + + # Make the request + response = client.get_processor_version(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.documentai_v1.types.GetProcessorVersionRequest, dict]): + The request object. Request message for the + [GetProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.GetProcessorVersion] + method. + name (str): + Required. The processor resource + name. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1.types.ProcessorVersion: + A processor version is an + implementation of a processor. Each + processor can have multiple versions, + pretrained by Google internally or + uptrained by the customer. A processor + can only have one default version at a + time. Its document-processing behavior + is defined by that version. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a document_processor_service.GetProcessorVersionRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_processor_service.GetProcessorVersionRequest): + request = document_processor_service.GetProcessorVersionRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_processor_version] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def list_processor_versions(self, + request: Optional[Union[document_processor_service.ListProcessorVersionsRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> pagers.ListProcessorVersionsPager: + r"""Lists all versions of a processor. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1 + + def sample_list_processor_versions(): + # Create a client + client = documentai_v1.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1.ListProcessorVersionsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_processor_versions(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.documentai_v1.types.ListProcessorVersionsRequest, dict]): + The request object. Request message for list all + processor versions belongs to a + processor. + parent (str): + Required. The parent (project, location and processor) + to list all versions. Format: + ``projects/{project}/locations/{location}/processors/{processor}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1.services.document_processor_service.pagers.ListProcessorVersionsPager: + Response message for the + [ListProcessorVersions][google.cloud.documentai.v1.DocumentProcessorService.ListProcessorVersions] + method. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([parent]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a document_processor_service.ListProcessorVersionsRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_processor_service.ListProcessorVersionsRequest): + request = document_processor_service.ListProcessorVersionsRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_processor_versions] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListProcessorVersionsPager( + method=rpc, + request=request, + response=response, + metadata=metadata, + ) + + # Done; return the response. + return response + + def delete_processor_version(self, + request: Optional[Union[document_processor_service.DeleteProcessorVersionRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation.Operation: + r"""Deletes the processor version, all artifacts under + the processor version will be deleted. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1 + + def sample_delete_processor_version(): + # Create a client + client = documentai_v1.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1.DeleteProcessorVersionRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.documentai_v1.types.DeleteProcessorVersionRequest, dict]): + The request object. Request message for the + [DeleteProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.DeleteProcessorVersion] + method. + name (str): + Required. The processor version + resource name to be deleted. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a document_processor_service.DeleteProcessorVersionRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_processor_service.DeleteProcessorVersionRequest): + request = document_processor_service.DeleteProcessorVersionRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_processor_version] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + empty_pb2.Empty, + metadata_type=document_processor_service.DeleteProcessorVersionMetadata, + ) + + # Done; return the response. + return response + + def deploy_processor_version(self, + request: Optional[Union[document_processor_service.DeployProcessorVersionRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation.Operation: + r"""Deploys the processor version. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1 + + def sample_deploy_processor_version(): + # Create a client + client = documentai_v1.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1.DeployProcessorVersionRequest( + name="name_value", + ) + + # Make the request + operation = client.deploy_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.documentai_v1.types.DeployProcessorVersionRequest, dict]): + The request object. Request message for the + [DeployProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.DeployProcessorVersion] + method. + name (str): + Required. The processor version + resource name to be deployed. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.documentai_v1.types.DeployProcessorVersionResponse` Response message for the + [DeployProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.DeployProcessorVersion] + method. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a document_processor_service.DeployProcessorVersionRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_processor_service.DeployProcessorVersionRequest): + request = document_processor_service.DeployProcessorVersionRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.deploy_processor_version] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + document_processor_service.DeployProcessorVersionResponse, + metadata_type=document_processor_service.DeployProcessorVersionMetadata, + ) + + # Done; return the response. + return response + + def undeploy_processor_version(self, + request: Optional[Union[document_processor_service.UndeployProcessorVersionRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation.Operation: + r"""Undeploys the processor version. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1 + + def sample_undeploy_processor_version(): + # Create a client + client = documentai_v1.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1.UndeployProcessorVersionRequest( + name="name_value", + ) + + # Make the request + operation = client.undeploy_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.documentai_v1.types.UndeployProcessorVersionRequest, dict]): + The request object. Request message for the + [UndeployProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.UndeployProcessorVersion] + method. + name (str): + Required. The processor version + resource name to be undeployed. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.documentai_v1.types.UndeployProcessorVersionResponse` Response message for the + [UndeployProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.UndeployProcessorVersion] + method. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a document_processor_service.UndeployProcessorVersionRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_processor_service.UndeployProcessorVersionRequest): + request = document_processor_service.UndeployProcessorVersionRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.undeploy_processor_version] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + document_processor_service.UndeployProcessorVersionResponse, + metadata_type=document_processor_service.UndeployProcessorVersionMetadata, + ) + + # Done; return the response. + return response + + def create_processor(self, + request: Optional[Union[document_processor_service.CreateProcessorRequest, dict]] = None, + *, + parent: Optional[str] = None, + processor: Optional[gcd_processor.Processor] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> gcd_processor.Processor: + r"""Creates a processor from the + [ProcessorType][google.cloud.documentai.v1.ProcessorType] + provided. The processor will be at ``ENABLED`` state by default + after its creation. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1 + + def sample_create_processor(): + # Create a client + client = documentai_v1.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1.CreateProcessorRequest( + parent="parent_value", + ) + + # Make the request + response = client.create_processor(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.documentai_v1.types.CreateProcessorRequest, dict]): + The request object. Request message for the + [CreateProcessor][google.cloud.documentai.v1.DocumentProcessorService.CreateProcessor] + method. Notice this request is sent to a regionalized + backend service. If the + [ProcessorType][google.cloud.documentai.v1.ProcessorType] + isn't available in that region, the creation fails. + parent (str): + Required. The parent (project and location) under which + to create the processor. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + processor (google.cloud.documentai_v1.types.Processor): + Required. The processor to be created, requires + [Processor.type][google.cloud.documentai.v1.Processor.type] + and + [Processor.display_name][google.cloud.documentai.v1.Processor.display_name] + to be set. Also, the + [Processor.kms_key_name][google.cloud.documentai.v1.Processor.kms_key_name] + field must be set if the processor is under CMEK. + + This corresponds to the ``processor`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1.types.Processor: + The first-class citizen for Document + AI. Each processor defines how to + extract structural information from a + document. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([parent, processor]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a document_processor_service.CreateProcessorRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_processor_service.CreateProcessorRequest): + request = document_processor_service.CreateProcessorRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if processor is not None: + request.processor = processor + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.create_processor] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def delete_processor(self, + request: Optional[Union[document_processor_service.DeleteProcessorRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation.Operation: + r"""Deletes the processor, unloads all deployed model + artifacts if it was enabled and then deletes all + artifacts associated with this processor. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1 + + def sample_delete_processor(): + # Create a client + client = documentai_v1.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1.DeleteProcessorRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_processor(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.documentai_v1.types.DeleteProcessorRequest, dict]): + The request object. Request message for the + [DeleteProcessor][google.cloud.documentai.v1.DocumentProcessorService.DeleteProcessor] + method. + name (str): + Required. The processor resource name + to be deleted. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a document_processor_service.DeleteProcessorRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_processor_service.DeleteProcessorRequest): + request = document_processor_service.DeleteProcessorRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_processor] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + empty_pb2.Empty, + metadata_type=document_processor_service.DeleteProcessorMetadata, + ) + + # Done; return the response. + return response + + def enable_processor(self, + request: Optional[Union[document_processor_service.EnableProcessorRequest, dict]] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation.Operation: + r"""Enables a processor + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1 + + def sample_enable_processor(): + # Create a client + client = documentai_v1.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1.EnableProcessorRequest( + name="name_value", + ) + + # Make the request + operation = client.enable_processor(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.documentai_v1.types.EnableProcessorRequest, dict]): + The request object. Request message for the + [EnableProcessor][google.cloud.documentai.v1.DocumentProcessorService.EnableProcessor] + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.documentai_v1.types.EnableProcessorResponse` Response message for the + [EnableProcessor][google.cloud.documentai.v1.DocumentProcessorService.EnableProcessor] + method. Intentionally empty proto for adding fields + in future. + + """ + # Create or coerce a protobuf request object. + # Minor optimization to avoid making a copy if the user passes + # in a document_processor_service.EnableProcessorRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_processor_service.EnableProcessorRequest): + request = document_processor_service.EnableProcessorRequest(request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.enable_processor] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + document_processor_service.EnableProcessorResponse, + metadata_type=document_processor_service.EnableProcessorMetadata, + ) + + # Done; return the response. + return response + + def disable_processor(self, + request: Optional[Union[document_processor_service.DisableProcessorRequest, dict]] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation.Operation: + r"""Disables a processor + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1 + + def sample_disable_processor(): + # Create a client + client = documentai_v1.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1.DisableProcessorRequest( + name="name_value", + ) + + # Make the request + operation = client.disable_processor(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.documentai_v1.types.DisableProcessorRequest, dict]): + The request object. Request message for the + [DisableProcessor][google.cloud.documentai.v1.DocumentProcessorService.DisableProcessor] + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.documentai_v1.types.DisableProcessorResponse` Response message for the + [DisableProcessor][google.cloud.documentai.v1.DocumentProcessorService.DisableProcessor] + method. Intentionally empty proto for adding fields + in future. + + """ + # Create or coerce a protobuf request object. + # Minor optimization to avoid making a copy if the user passes + # in a document_processor_service.DisableProcessorRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_processor_service.DisableProcessorRequest): + request = document_processor_service.DisableProcessorRequest(request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.disable_processor] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + document_processor_service.DisableProcessorResponse, + metadata_type=document_processor_service.DisableProcessorMetadata, + ) + + # Done; return the response. + return response + + def set_default_processor_version(self, + request: Optional[Union[document_processor_service.SetDefaultProcessorVersionRequest, dict]] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation.Operation: + r"""Set the default (active) version of a + [Processor][google.cloud.documentai.v1.Processor] that will be + used in + [ProcessDocument][google.cloud.documentai.v1.DocumentProcessorService.ProcessDocument] + and + [BatchProcessDocuments][google.cloud.documentai.v1.DocumentProcessorService.BatchProcessDocuments]. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1 + + def sample_set_default_processor_version(): + # Create a client + client = documentai_v1.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1.SetDefaultProcessorVersionRequest( + processor="processor_value", + default_processor_version="default_processor_version_value", + ) + + # Make the request + operation = client.set_default_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.documentai_v1.types.SetDefaultProcessorVersionRequest, dict]): + The request object. Request message for the + [SetDefaultProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.SetDefaultProcessorVersion] + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.documentai_v1.types.SetDefaultProcessorVersionResponse` Response message for the + [SetDefaultProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.SetDefaultProcessorVersion] + method. + + """ + # Create or coerce a protobuf request object. + # Minor optimization to avoid making a copy if the user passes + # in a document_processor_service.SetDefaultProcessorVersionRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_processor_service.SetDefaultProcessorVersionRequest): + request = document_processor_service.SetDefaultProcessorVersionRequest(request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.set_default_processor_version] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("processor", request.processor), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + document_processor_service.SetDefaultProcessorVersionResponse, + metadata_type=document_processor_service.SetDefaultProcessorVersionMetadata, + ) + + # Done; return the response. + return response + + def review_document(self, + request: Optional[Union[document_processor_service.ReviewDocumentRequest, dict]] = None, + *, + human_review_config: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation.Operation: + r"""Send a document for Human Review. The input document + should be processed by the specified processor. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1 + + def sample_review_document(): + # Create a client + client = documentai_v1.DocumentProcessorServiceClient() + + # Initialize request argument(s) + inline_document = documentai_v1.Document() + inline_document.uri = "uri_value" + + request = documentai_v1.ReviewDocumentRequest( + inline_document=inline_document, + human_review_config="human_review_config_value", + ) + + # Make the request + operation = client.review_document(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.documentai_v1.types.ReviewDocumentRequest, dict]): + The request object. Request message for the + [ReviewDocument][google.cloud.documentai.v1.DocumentProcessorService.ReviewDocument] + method. + human_review_config (str): + Required. The resource name of the + [HumanReviewConfig][google.cloud.documentai.v1.HumanReviewConfig] + that the document will be reviewed with. + + This corresponds to the ``human_review_config`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.documentai_v1.types.ReviewDocumentResponse` Response message for the + [ReviewDocument][google.cloud.documentai.v1.DocumentProcessorService.ReviewDocument] + method. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([human_review_config]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a document_processor_service.ReviewDocumentRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_processor_service.ReviewDocumentRequest): + request = document_processor_service.ReviewDocumentRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if human_review_config is not None: + request.human_review_config = human_review_config + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.review_document] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("human_review_config", request.human_review_config), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + document_processor_service.ReviewDocumentResponse, + metadata_type=document_processor_service.ReviewDocumentOperationMetadata, + ) + + # Done; return the response. + return response + + def evaluate_processor_version(self, + request: Optional[Union[document_processor_service.EvaluateProcessorVersionRequest, dict]] = None, + *, + processor_version: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation.Operation: + r"""Evaluates a ProcessorVersion against annotated + documents, producing an Evaluation. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1 + + def sample_evaluate_processor_version(): + # Create a client + client = documentai_v1.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1.EvaluateProcessorVersionRequest( + processor_version="processor_version_value", + ) + + # Make the request + operation = client.evaluate_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.documentai_v1.types.EvaluateProcessorVersionRequest, dict]): + The request object. Evaluates the given + [ProcessorVersion][google.cloud.documentai.v1.ProcessorVersion] + against the supplied documents. + processor_version (str): + Required. The resource name of the + [ProcessorVersion][google.cloud.documentai.v1.ProcessorVersion] + to evaluate. + ``projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processorVersion}`` + + This corresponds to the ``processor_version`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.documentai_v1.types.EvaluateProcessorVersionResponse` Response of the + [EvaluateProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.EvaluateProcessorVersion] + method. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([processor_version]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a document_processor_service.EvaluateProcessorVersionRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_processor_service.EvaluateProcessorVersionRequest): + request = document_processor_service.EvaluateProcessorVersionRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if processor_version is not None: + request.processor_version = processor_version + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.evaluate_processor_version] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("processor_version", request.processor_version), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + document_processor_service.EvaluateProcessorVersionResponse, + metadata_type=document_processor_service.EvaluateProcessorVersionMetadata, + ) + + # Done; return the response. + return response + + def get_evaluation(self, + request: Optional[Union[document_processor_service.GetEvaluationRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> evaluation.Evaluation: + r"""Retrieves a specific evaluation. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1 + + def sample_get_evaluation(): + # Create a client + client = documentai_v1.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1.GetEvaluationRequest( + name="name_value", + ) + + # Make the request + response = client.get_evaluation(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.documentai_v1.types.GetEvaluationRequest, dict]): + The request object. Retrieves a specific Evaluation. + name (str): + Required. The resource name of the + [Evaluation][google.cloud.documentai.v1.Evaluation] to + get. + ``projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processorVersion}/evaluations/{evaluation}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1.types.Evaluation: + An evaluation of a ProcessorVersion's + performance. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a document_processor_service.GetEvaluationRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_processor_service.GetEvaluationRequest): + request = document_processor_service.GetEvaluationRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_evaluation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def list_evaluations(self, + request: Optional[Union[document_processor_service.ListEvaluationsRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> pagers.ListEvaluationsPager: + r"""Retrieves a set of evaluations for a given processor + version. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1 + + def sample_list_evaluations(): + # Create a client + client = documentai_v1.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1.ListEvaluationsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_evaluations(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.documentai_v1.types.ListEvaluationsRequest, dict]): + The request object. Retrieves a list of evaluations for a given + [ProcessorVersion][google.cloud.documentai.v1.ProcessorVersion]. + parent (str): + Required. The resource name of the + [ProcessorVersion][google.cloud.documentai.v1.ProcessorVersion] + to list evaluations for. + ``projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processorVersion}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1.services.document_processor_service.pagers.ListEvaluationsPager: + The response from ListEvaluations. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([parent]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a document_processor_service.ListEvaluationsRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_processor_service.ListEvaluationsRequest): + request = document_processor_service.ListEvaluationsRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_evaluations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListEvaluationsPager( + method=rpc, + request=request, + response=response, + metadata=metadata, + ) + + # Done; return the response. + return response + + def __enter__(self) -> "DocumentProcessorServiceClient": + return self + + def __exit__(self, type, value, traceback): + """Releases underlying transport's resources. + + .. warning:: + ONLY use as a context manager if the transport is NOT shared + with other clients! Exiting the with block will CLOSE the transport + and may cause errors in other clients! + """ + self.transport.close() + + def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method.wrap_method( + self._transport.list_operations, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, retry=retry, timeout=timeout, metadata=metadata,) + + # Done; return the response. + return response + + def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method.wrap_method( + self._transport.get_operation, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, retry=retry, timeout=timeout, metadata=metadata,) + + # Done; return the response. + return response + + def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method.wrap_method( + self._transport.cancel_operation, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc(request, retry=retry, timeout=timeout, metadata=metadata,) + + def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method.wrap_method( + self._transport.get_location, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, retry=retry, timeout=timeout, metadata=metadata,) + + # Done; return the response. + return response + + def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method.wrap_method( + self._transport.list_locations, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, retry=retry, timeout=timeout, metadata=metadata,) + + # Done; return the response. + return response + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(gapic_version=package_version.__version__) + + +__all__ = ( + "DocumentProcessorServiceClient", +) diff --git a/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/services/document_processor_service/pagers.py b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/services/document_processor_service/pagers.py new file mode 100644 index 000000000000..7302ed92a4cf --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/services/document_processor_service/pagers.py @@ -0,0 +1,505 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from typing import Any, AsyncIterator, Awaitable, Callable, Sequence, Tuple, Optional, Iterator + +from google.cloud.documentai_v1.types import document_processor_service +from google.cloud.documentai_v1.types import evaluation +from google.cloud.documentai_v1.types import processor +from google.cloud.documentai_v1.types import processor_type + + +class ListProcessorTypesPager: + """A pager for iterating through ``list_processor_types`` requests. + + This class thinly wraps an initial + :class:`google.cloud.documentai_v1.types.ListProcessorTypesResponse` object, and + provides an ``__iter__`` method to iterate through its + ``processor_types`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListProcessorTypes`` requests and continue to iterate + through the ``processor_types`` field on the + corresponding responses. + + All the usual :class:`google.cloud.documentai_v1.types.ListProcessorTypesResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + def __init__(self, + method: Callable[..., document_processor_service.ListProcessorTypesResponse], + request: document_processor_service.ListProcessorTypesRequest, + response: document_processor_service.ListProcessorTypesResponse, + *, + metadata: Sequence[Tuple[str, str]] = ()): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.documentai_v1.types.ListProcessorTypesRequest): + The initial request object. + response (google.cloud.documentai_v1.types.ListProcessorTypesResponse): + The initial response object. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + """ + self._method = method + self._request = document_processor_service.ListProcessorTypesRequest(request) + self._response = response + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[document_processor_service.ListProcessorTypesResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method(self._request, metadata=self._metadata) + yield self._response + + def __iter__(self) -> Iterator[processor_type.ProcessorType]: + for page in self.pages: + yield from page.processor_types + + def __repr__(self) -> str: + return '{0}<{1!r}>'.format(self.__class__.__name__, self._response) + + +class ListProcessorTypesAsyncPager: + """A pager for iterating through ``list_processor_types`` requests. + + This class thinly wraps an initial + :class:`google.cloud.documentai_v1.types.ListProcessorTypesResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``processor_types`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListProcessorTypes`` requests and continue to iterate + through the ``processor_types`` field on the + corresponding responses. + + All the usual :class:`google.cloud.documentai_v1.types.ListProcessorTypesResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + def __init__(self, + method: Callable[..., Awaitable[document_processor_service.ListProcessorTypesResponse]], + request: document_processor_service.ListProcessorTypesRequest, + response: document_processor_service.ListProcessorTypesResponse, + *, + metadata: Sequence[Tuple[str, str]] = ()): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.documentai_v1.types.ListProcessorTypesRequest): + The initial request object. + response (google.cloud.documentai_v1.types.ListProcessorTypesResponse): + The initial response object. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + """ + self._method = method + self._request = document_processor_service.ListProcessorTypesRequest(request) + self._response = response + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages(self) -> AsyncIterator[document_processor_service.ListProcessorTypesResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method(self._request, metadata=self._metadata) + yield self._response + def __aiter__(self) -> AsyncIterator[processor_type.ProcessorType]: + async def async_generator(): + async for page in self.pages: + for response in page.processor_types: + yield response + + return async_generator() + + def __repr__(self) -> str: + return '{0}<{1!r}>'.format(self.__class__.__name__, self._response) + + +class ListProcessorsPager: + """A pager for iterating through ``list_processors`` requests. + + This class thinly wraps an initial + :class:`google.cloud.documentai_v1.types.ListProcessorsResponse` object, and + provides an ``__iter__`` method to iterate through its + ``processors`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListProcessors`` requests and continue to iterate + through the ``processors`` field on the + corresponding responses. + + All the usual :class:`google.cloud.documentai_v1.types.ListProcessorsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + def __init__(self, + method: Callable[..., document_processor_service.ListProcessorsResponse], + request: document_processor_service.ListProcessorsRequest, + response: document_processor_service.ListProcessorsResponse, + *, + metadata: Sequence[Tuple[str, str]] = ()): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.documentai_v1.types.ListProcessorsRequest): + The initial request object. + response (google.cloud.documentai_v1.types.ListProcessorsResponse): + The initial response object. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + """ + self._method = method + self._request = document_processor_service.ListProcessorsRequest(request) + self._response = response + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[document_processor_service.ListProcessorsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method(self._request, metadata=self._metadata) + yield self._response + + def __iter__(self) -> Iterator[processor.Processor]: + for page in self.pages: + yield from page.processors + + def __repr__(self) -> str: + return '{0}<{1!r}>'.format(self.__class__.__name__, self._response) + + +class ListProcessorsAsyncPager: + """A pager for iterating through ``list_processors`` requests. + + This class thinly wraps an initial + :class:`google.cloud.documentai_v1.types.ListProcessorsResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``processors`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListProcessors`` requests and continue to iterate + through the ``processors`` field on the + corresponding responses. + + All the usual :class:`google.cloud.documentai_v1.types.ListProcessorsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + def __init__(self, + method: Callable[..., Awaitable[document_processor_service.ListProcessorsResponse]], + request: document_processor_service.ListProcessorsRequest, + response: document_processor_service.ListProcessorsResponse, + *, + metadata: Sequence[Tuple[str, str]] = ()): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.documentai_v1.types.ListProcessorsRequest): + The initial request object. + response (google.cloud.documentai_v1.types.ListProcessorsResponse): + The initial response object. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + """ + self._method = method + self._request = document_processor_service.ListProcessorsRequest(request) + self._response = response + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages(self) -> AsyncIterator[document_processor_service.ListProcessorsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method(self._request, metadata=self._metadata) + yield self._response + def __aiter__(self) -> AsyncIterator[processor.Processor]: + async def async_generator(): + async for page in self.pages: + for response in page.processors: + yield response + + return async_generator() + + def __repr__(self) -> str: + return '{0}<{1!r}>'.format(self.__class__.__name__, self._response) + + +class ListProcessorVersionsPager: + """A pager for iterating through ``list_processor_versions`` requests. + + This class thinly wraps an initial + :class:`google.cloud.documentai_v1.types.ListProcessorVersionsResponse` object, and + provides an ``__iter__`` method to iterate through its + ``processor_versions`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListProcessorVersions`` requests and continue to iterate + through the ``processor_versions`` field on the + corresponding responses. + + All the usual :class:`google.cloud.documentai_v1.types.ListProcessorVersionsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + def __init__(self, + method: Callable[..., document_processor_service.ListProcessorVersionsResponse], + request: document_processor_service.ListProcessorVersionsRequest, + response: document_processor_service.ListProcessorVersionsResponse, + *, + metadata: Sequence[Tuple[str, str]] = ()): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.documentai_v1.types.ListProcessorVersionsRequest): + The initial request object. + response (google.cloud.documentai_v1.types.ListProcessorVersionsResponse): + The initial response object. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + """ + self._method = method + self._request = document_processor_service.ListProcessorVersionsRequest(request) + self._response = response + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[document_processor_service.ListProcessorVersionsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method(self._request, metadata=self._metadata) + yield self._response + + def __iter__(self) -> Iterator[processor.ProcessorVersion]: + for page in self.pages: + yield from page.processor_versions + + def __repr__(self) -> str: + return '{0}<{1!r}>'.format(self.__class__.__name__, self._response) + + +class ListProcessorVersionsAsyncPager: + """A pager for iterating through ``list_processor_versions`` requests. + + This class thinly wraps an initial + :class:`google.cloud.documentai_v1.types.ListProcessorVersionsResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``processor_versions`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListProcessorVersions`` requests and continue to iterate + through the ``processor_versions`` field on the + corresponding responses. + + All the usual :class:`google.cloud.documentai_v1.types.ListProcessorVersionsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + def __init__(self, + method: Callable[..., Awaitable[document_processor_service.ListProcessorVersionsResponse]], + request: document_processor_service.ListProcessorVersionsRequest, + response: document_processor_service.ListProcessorVersionsResponse, + *, + metadata: Sequence[Tuple[str, str]] = ()): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.documentai_v1.types.ListProcessorVersionsRequest): + The initial request object. + response (google.cloud.documentai_v1.types.ListProcessorVersionsResponse): + The initial response object. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + """ + self._method = method + self._request = document_processor_service.ListProcessorVersionsRequest(request) + self._response = response + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages(self) -> AsyncIterator[document_processor_service.ListProcessorVersionsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method(self._request, metadata=self._metadata) + yield self._response + def __aiter__(self) -> AsyncIterator[processor.ProcessorVersion]: + async def async_generator(): + async for page in self.pages: + for response in page.processor_versions: + yield response + + return async_generator() + + def __repr__(self) -> str: + return '{0}<{1!r}>'.format(self.__class__.__name__, self._response) + + +class ListEvaluationsPager: + """A pager for iterating through ``list_evaluations`` requests. + + This class thinly wraps an initial + :class:`google.cloud.documentai_v1.types.ListEvaluationsResponse` object, and + provides an ``__iter__`` method to iterate through its + ``evaluations`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListEvaluations`` requests and continue to iterate + through the ``evaluations`` field on the + corresponding responses. + + All the usual :class:`google.cloud.documentai_v1.types.ListEvaluationsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + def __init__(self, + method: Callable[..., document_processor_service.ListEvaluationsResponse], + request: document_processor_service.ListEvaluationsRequest, + response: document_processor_service.ListEvaluationsResponse, + *, + metadata: Sequence[Tuple[str, str]] = ()): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.documentai_v1.types.ListEvaluationsRequest): + The initial request object. + response (google.cloud.documentai_v1.types.ListEvaluationsResponse): + The initial response object. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + """ + self._method = method + self._request = document_processor_service.ListEvaluationsRequest(request) + self._response = response + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[document_processor_service.ListEvaluationsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method(self._request, metadata=self._metadata) + yield self._response + + def __iter__(self) -> Iterator[evaluation.Evaluation]: + for page in self.pages: + yield from page.evaluations + + def __repr__(self) -> str: + return '{0}<{1!r}>'.format(self.__class__.__name__, self._response) + + +class ListEvaluationsAsyncPager: + """A pager for iterating through ``list_evaluations`` requests. + + This class thinly wraps an initial + :class:`google.cloud.documentai_v1.types.ListEvaluationsResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``evaluations`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListEvaluations`` requests and continue to iterate + through the ``evaluations`` field on the + corresponding responses. + + All the usual :class:`google.cloud.documentai_v1.types.ListEvaluationsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + def __init__(self, + method: Callable[..., Awaitable[document_processor_service.ListEvaluationsResponse]], + request: document_processor_service.ListEvaluationsRequest, + response: document_processor_service.ListEvaluationsResponse, + *, + metadata: Sequence[Tuple[str, str]] = ()): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.documentai_v1.types.ListEvaluationsRequest): + The initial request object. + response (google.cloud.documentai_v1.types.ListEvaluationsResponse): + The initial response object. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + """ + self._method = method + self._request = document_processor_service.ListEvaluationsRequest(request) + self._response = response + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages(self) -> AsyncIterator[document_processor_service.ListEvaluationsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method(self._request, metadata=self._metadata) + yield self._response + def __aiter__(self) -> AsyncIterator[evaluation.Evaluation]: + async def async_generator(): + async for page in self.pages: + for response in page.evaluations: + yield response + + return async_generator() + + def __repr__(self) -> str: + return '{0}<{1!r}>'.format(self.__class__.__name__, self._response) diff --git a/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/services/document_processor_service/transports/__init__.py b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/services/document_processor_service/transports/__init__.py new file mode 100644 index 000000000000..ada8f5c0c0d9 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/services/document_processor_service/transports/__init__.py @@ -0,0 +1,38 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +from typing import Dict, Type + +from .base import DocumentProcessorServiceTransport +from .grpc import DocumentProcessorServiceGrpcTransport +from .grpc_asyncio import DocumentProcessorServiceGrpcAsyncIOTransport +from .rest import DocumentProcessorServiceRestTransport +from .rest import DocumentProcessorServiceRestInterceptor + + +# Compile a registry of transports. +_transport_registry = OrderedDict() # type: Dict[str, Type[DocumentProcessorServiceTransport]] +_transport_registry['grpc'] = DocumentProcessorServiceGrpcTransport +_transport_registry['grpc_asyncio'] = DocumentProcessorServiceGrpcAsyncIOTransport +_transport_registry['rest'] = DocumentProcessorServiceRestTransport + +__all__ = ( + 'DocumentProcessorServiceTransport', + 'DocumentProcessorServiceGrpcTransport', + 'DocumentProcessorServiceGrpcAsyncIOTransport', + 'DocumentProcessorServiceRestTransport', + 'DocumentProcessorServiceRestInterceptor', +) diff --git a/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/services/document_processor_service/transports/base.py b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/services/document_processor_service/transports/base.py new file mode 100644 index 000000000000..f03d05572850 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/services/document_processor_service/transports/base.py @@ -0,0 +1,522 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import abc +from typing import Awaitable, Callable, Dict, Optional, Sequence, Union + +from google.cloud.documentai_v1 import gapic_version as package_version + +import google.auth # type: ignore +import google.api_core +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.api_core import operations_v1 +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore + +from google.cloud.documentai_v1.types import document_processor_service +from google.cloud.documentai_v1.types import evaluation +from google.cloud.documentai_v1.types import processor +from google.cloud.documentai_v1.types import processor as gcd_processor +from google.cloud.documentai_v1.types import processor_type +from google.cloud.location import locations_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(gapic_version=package_version.__version__) + + +class DocumentProcessorServiceTransport(abc.ABC): + """Abstract transport class for DocumentProcessorService.""" + + AUTH_SCOPES = ( + 'https://www.googleapis.com/auth/cloud-platform', + ) + + DEFAULT_HOST: str = 'documentai.googleapis.com' + def __init__( + self, *, + host: str = DEFAULT_HOST, + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + **kwargs, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'documentai.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + credentials_file (Optional[str]): A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is mutually exclusive with credentials. + scopes (Optional[Sequence[str]]): A list of scopes. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + """ + + scopes_kwargs = {"scopes": scopes, "default_scopes": self.AUTH_SCOPES} + + # Save the scopes. + self._scopes = scopes + + # If no credentials are provided, then determine the appropriate + # defaults. + if credentials and credentials_file: + raise core_exceptions.DuplicateCredentialArgs("'credentials_file' and 'credentials' are mutually exclusive") + + if credentials_file is not None: + credentials, _ = google.auth.load_credentials_from_file( + credentials_file, + **scopes_kwargs, + quota_project_id=quota_project_id + ) + elif credentials is None: + credentials, _ = google.auth.default(**scopes_kwargs, quota_project_id=quota_project_id) + # Don't apply audience if the credentials file passed from user. + if hasattr(credentials, "with_gdch_audience"): + credentials = credentials.with_gdch_audience(api_audience if api_audience else host) + + # If the credentials are service account credentials, then always try to use self signed JWT. + if always_use_jwt_access and isinstance(credentials, service_account.Credentials) and hasattr(service_account.Credentials, "with_always_use_jwt_access"): + credentials = credentials.with_always_use_jwt_access(True) + + # Save the credentials. + self._credentials = credentials + + # Save the hostname. Default to port 443 (HTTPS) if none is specified. + if ':' not in host: + host += ':443' + self._host = host + + @property + def host(self): + return self._host + + def _prep_wrapped_messages(self, client_info): + # Precompute the wrapped methods. + self._wrapped_methods = { + self.process_document: gapic_v1.method.wrap_method( + self.process_document, + default_retry=retries.Retry( +initial=0.1,maximum=60.0,multiplier=1.3, predicate=retries.if_exception_type( + core_exceptions.DeadlineExceeded, + core_exceptions.ServiceUnavailable, + ), + deadline=300.0, + ), + default_timeout=300.0, + client_info=client_info, + ), + self.batch_process_documents: gapic_v1.method.wrap_method( + self.batch_process_documents, + default_retry=retries.Retry( +initial=0.1,maximum=60.0,multiplier=1.3, predicate=retries.if_exception_type( + core_exceptions.DeadlineExceeded, + core_exceptions.ServiceUnavailable, + ), + deadline=120.0, + ), + default_timeout=120.0, + client_info=client_info, + ), + self.fetch_processor_types: gapic_v1.method.wrap_method( + self.fetch_processor_types, + default_timeout=None, + client_info=client_info, + ), + self.list_processor_types: gapic_v1.method.wrap_method( + self.list_processor_types, + default_timeout=None, + client_info=client_info, + ), + self.get_processor_type: gapic_v1.method.wrap_method( + self.get_processor_type, + default_timeout=None, + client_info=client_info, + ), + self.list_processors: gapic_v1.method.wrap_method( + self.list_processors, + default_timeout=None, + client_info=client_info, + ), + self.get_processor: gapic_v1.method.wrap_method( + self.get_processor, + default_timeout=None, + client_info=client_info, + ), + self.train_processor_version: gapic_v1.method.wrap_method( + self.train_processor_version, + default_timeout=None, + client_info=client_info, + ), + self.get_processor_version: gapic_v1.method.wrap_method( + self.get_processor_version, + default_timeout=None, + client_info=client_info, + ), + self.list_processor_versions: gapic_v1.method.wrap_method( + self.list_processor_versions, + default_timeout=None, + client_info=client_info, + ), + self.delete_processor_version: gapic_v1.method.wrap_method( + self.delete_processor_version, + default_timeout=None, + client_info=client_info, + ), + self.deploy_processor_version: gapic_v1.method.wrap_method( + self.deploy_processor_version, + default_timeout=None, + client_info=client_info, + ), + self.undeploy_processor_version: gapic_v1.method.wrap_method( + self.undeploy_processor_version, + default_timeout=None, + client_info=client_info, + ), + self.create_processor: gapic_v1.method.wrap_method( + self.create_processor, + default_timeout=None, + client_info=client_info, + ), + self.delete_processor: gapic_v1.method.wrap_method( + self.delete_processor, + default_timeout=None, + client_info=client_info, + ), + self.enable_processor: gapic_v1.method.wrap_method( + self.enable_processor, + default_timeout=None, + client_info=client_info, + ), + self.disable_processor: gapic_v1.method.wrap_method( + self.disable_processor, + default_timeout=None, + client_info=client_info, + ), + self.set_default_processor_version: gapic_v1.method.wrap_method( + self.set_default_processor_version, + default_timeout=None, + client_info=client_info, + ), + self.review_document: gapic_v1.method.wrap_method( + self.review_document, + default_retry=retries.Retry( +initial=0.1,maximum=60.0,multiplier=1.3, predicate=retries.if_exception_type( + core_exceptions.DeadlineExceeded, + core_exceptions.ServiceUnavailable, + ), + deadline=120.0, + ), + default_timeout=120.0, + client_info=client_info, + ), + self.evaluate_processor_version: gapic_v1.method.wrap_method( + self.evaluate_processor_version, + default_timeout=None, + client_info=client_info, + ), + self.get_evaluation: gapic_v1.method.wrap_method( + self.get_evaluation, + default_timeout=None, + client_info=client_info, + ), + self.list_evaluations: gapic_v1.method.wrap_method( + self.list_evaluations, + default_timeout=None, + client_info=client_info, + ), + } + + def close(self): + """Closes resources associated with the transport. + + .. warning:: + Only call this method if the transport is NOT shared + with other clients - this may cause errors in other clients! + """ + raise NotImplementedError() + + @property + def operations_client(self): + """Return the client designed to process long-running operations.""" + raise NotImplementedError() + + @property + def process_document(self) -> Callable[ + [document_processor_service.ProcessRequest], + Union[ + document_processor_service.ProcessResponse, + Awaitable[document_processor_service.ProcessResponse] + ]]: + raise NotImplementedError() + + @property + def batch_process_documents(self) -> Callable[ + [document_processor_service.BatchProcessRequest], + Union[ + operations_pb2.Operation, + Awaitable[operations_pb2.Operation] + ]]: + raise NotImplementedError() + + @property + def fetch_processor_types(self) -> Callable[ + [document_processor_service.FetchProcessorTypesRequest], + Union[ + document_processor_service.FetchProcessorTypesResponse, + Awaitable[document_processor_service.FetchProcessorTypesResponse] + ]]: + raise NotImplementedError() + + @property + def list_processor_types(self) -> Callable[ + [document_processor_service.ListProcessorTypesRequest], + Union[ + document_processor_service.ListProcessorTypesResponse, + Awaitable[document_processor_service.ListProcessorTypesResponse] + ]]: + raise NotImplementedError() + + @property + def get_processor_type(self) -> Callable[ + [document_processor_service.GetProcessorTypeRequest], + Union[ + processor_type.ProcessorType, + Awaitable[processor_type.ProcessorType] + ]]: + raise NotImplementedError() + + @property + def list_processors(self) -> Callable[ + [document_processor_service.ListProcessorsRequest], + Union[ + document_processor_service.ListProcessorsResponse, + Awaitable[document_processor_service.ListProcessorsResponse] + ]]: + raise NotImplementedError() + + @property + def get_processor(self) -> Callable[ + [document_processor_service.GetProcessorRequest], + Union[ + processor.Processor, + Awaitable[processor.Processor] + ]]: + raise NotImplementedError() + + @property + def train_processor_version(self) -> Callable[ + [document_processor_service.TrainProcessorVersionRequest], + Union[ + operations_pb2.Operation, + Awaitable[operations_pb2.Operation] + ]]: + raise NotImplementedError() + + @property + def get_processor_version(self) -> Callable[ + [document_processor_service.GetProcessorVersionRequest], + Union[ + processor.ProcessorVersion, + Awaitable[processor.ProcessorVersion] + ]]: + raise NotImplementedError() + + @property + def list_processor_versions(self) -> Callable[ + [document_processor_service.ListProcessorVersionsRequest], + Union[ + document_processor_service.ListProcessorVersionsResponse, + Awaitable[document_processor_service.ListProcessorVersionsResponse] + ]]: + raise NotImplementedError() + + @property + def delete_processor_version(self) -> Callable[ + [document_processor_service.DeleteProcessorVersionRequest], + Union[ + operations_pb2.Operation, + Awaitable[operations_pb2.Operation] + ]]: + raise NotImplementedError() + + @property + def deploy_processor_version(self) -> Callable[ + [document_processor_service.DeployProcessorVersionRequest], + Union[ + operations_pb2.Operation, + Awaitable[operations_pb2.Operation] + ]]: + raise NotImplementedError() + + @property + def undeploy_processor_version(self) -> Callable[ + [document_processor_service.UndeployProcessorVersionRequest], + Union[ + operations_pb2.Operation, + Awaitable[operations_pb2.Operation] + ]]: + raise NotImplementedError() + + @property + def create_processor(self) -> Callable[ + [document_processor_service.CreateProcessorRequest], + Union[ + gcd_processor.Processor, + Awaitable[gcd_processor.Processor] + ]]: + raise NotImplementedError() + + @property + def delete_processor(self) -> Callable[ + [document_processor_service.DeleteProcessorRequest], + Union[ + operations_pb2.Operation, + Awaitable[operations_pb2.Operation] + ]]: + raise NotImplementedError() + + @property + def enable_processor(self) -> Callable[ + [document_processor_service.EnableProcessorRequest], + Union[ + operations_pb2.Operation, + Awaitable[operations_pb2.Operation] + ]]: + raise NotImplementedError() + + @property + def disable_processor(self) -> Callable[ + [document_processor_service.DisableProcessorRequest], + Union[ + operations_pb2.Operation, + Awaitable[operations_pb2.Operation] + ]]: + raise NotImplementedError() + + @property + def set_default_processor_version(self) -> Callable[ + [document_processor_service.SetDefaultProcessorVersionRequest], + Union[ + operations_pb2.Operation, + Awaitable[operations_pb2.Operation] + ]]: + raise NotImplementedError() + + @property + def review_document(self) -> Callable[ + [document_processor_service.ReviewDocumentRequest], + Union[ + operations_pb2.Operation, + Awaitable[operations_pb2.Operation] + ]]: + raise NotImplementedError() + + @property + def evaluate_processor_version(self) -> Callable[ + [document_processor_service.EvaluateProcessorVersionRequest], + Union[ + operations_pb2.Operation, + Awaitable[operations_pb2.Operation] + ]]: + raise NotImplementedError() + + @property + def get_evaluation(self) -> Callable[ + [document_processor_service.GetEvaluationRequest], + Union[ + evaluation.Evaluation, + Awaitable[evaluation.Evaluation] + ]]: + raise NotImplementedError() + + @property + def list_evaluations(self) -> Callable[ + [document_processor_service.ListEvaluationsRequest], + Union[ + document_processor_service.ListEvaluationsResponse, + Awaitable[document_processor_service.ListEvaluationsResponse] + ]]: + raise NotImplementedError() + + @property + def list_operations( + self, + ) -> Callable[ + [operations_pb2.ListOperationsRequest], + Union[operations_pb2.ListOperationsResponse, Awaitable[operations_pb2.ListOperationsResponse]], + ]: + raise NotImplementedError() + + @property + def get_operation( + self, + ) -> Callable[ + [operations_pb2.GetOperationRequest], + Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]], + ]: + raise NotImplementedError() + + @property + def cancel_operation( + self, + ) -> Callable[ + [operations_pb2.CancelOperationRequest], + None, + ]: + raise NotImplementedError() + + @property + def get_location(self, + ) -> Callable[ + [locations_pb2.GetLocationRequest], + Union[locations_pb2.Location, Awaitable[locations_pb2.Location]], + ]: + raise NotImplementedError() + + @property + def list_locations(self, + ) -> Callable[ + [locations_pb2.ListLocationsRequest], + Union[locations_pb2.ListLocationsResponse, Awaitable[locations_pb2.ListLocationsResponse]], + ]: + raise NotImplementedError() + + @property + def kind(self) -> str: + raise NotImplementedError() + + +__all__ = ( + 'DocumentProcessorServiceTransport', +) diff --git a/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/services/document_processor_service/transports/grpc.py b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/services/document_processor_service/transports/grpc.py new file mode 100644 index 000000000000..fffedf522783 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/services/document_processor_service/transports/grpc.py @@ -0,0 +1,947 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import warnings +from typing import Callable, Dict, Optional, Sequence, Tuple, Union + +from google.api_core import grpc_helpers +from google.api_core import operations_v1 +from google.api_core import gapic_v1 +import google.auth # type: ignore +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore + +import grpc # type: ignore + +from google.cloud.documentai_v1.types import document_processor_service +from google.cloud.documentai_v1.types import evaluation +from google.cloud.documentai_v1.types import processor +from google.cloud.documentai_v1.types import processor as gcd_processor +from google.cloud.documentai_v1.types import processor_type +from google.cloud.location import locations_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +from .base import DocumentProcessorServiceTransport, DEFAULT_CLIENT_INFO + + +class DocumentProcessorServiceGrpcTransport(DocumentProcessorServiceTransport): + """gRPC backend transport for DocumentProcessorService. + + Service to call Document AI to process documents according to + the processor's definition. Processors are built using + state-of-the-art Google AI such as natural language, computer + vision, and translation to extract structured information from + unstructured or semi-structured documents. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends protocol buffers over the wire using gRPC (which is built on + top of HTTP/2); the ``grpcio`` package must be installed. + """ + _stubs: Dict[str, Callable] + + def __init__(self, *, + host: str = 'documentai.googleapis.com', + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + channel: Optional[grpc.Channel] = None, + api_mtls_endpoint: Optional[str] = None, + client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None, + client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'documentai.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + This argument is ignored if ``channel`` is provided. + credentials_file (Optional[str]): A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if ``channel`` is provided. + scopes (Optional(Sequence[str])): A list of scopes. This argument is + ignored if ``channel`` is provided. + channel (Optional[grpc.Channel]): A ``Channel`` instance through + which to make calls. + api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint. + If provided, it overrides the ``host`` argument and tries to create + a mutual TLS channel with client SSL credentials from + ``client_cert_source`` or application default SSL credentials. + client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]): + Deprecated. A callback to provide client SSL certificate bytes and + private key bytes, both in PEM format. It is ignored if + ``api_mtls_endpoint`` is None. + ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials + for the grpc channel. It is ignored if ``channel`` is provided. + client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]): + A callback to provide client certificate bytes and private key bytes, + both in PEM format. It is used to configure a mutual TLS channel. It is + ignored if ``channel`` or ``ssl_channel_credentials`` is provided. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport + creation failed for any reason. + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + self._grpc_channel = None + self._ssl_channel_credentials = ssl_channel_credentials + self._stubs: Dict[str, Callable] = {} + self._operations_client: Optional[operations_v1.OperationsClient] = None + + if api_mtls_endpoint: + warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning) + if client_cert_source: + warnings.warn("client_cert_source is deprecated", DeprecationWarning) + + if channel: + # Ignore credentials if a channel was passed. + credentials = False + # If a channel was explicitly provided, set it. + self._grpc_channel = channel + self._ssl_channel_credentials = None + + else: + if api_mtls_endpoint: + host = api_mtls_endpoint + + # Create SSL credentials with client_cert_source or application + # default SSL credentials. + if client_cert_source: + cert, key = client_cert_source() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + else: + self._ssl_channel_credentials = SslCredentials().ssl_credentials + + else: + if client_cert_source_for_mtls and not ssl_channel_credentials: + cert, key = client_cert_source_for_mtls() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + + # The base transport sets the host, credentials and scopes + super().__init__( + host=host, + credentials=credentials, + credentials_file=credentials_file, + scopes=scopes, + quota_project_id=quota_project_id, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience, + ) + + if not self._grpc_channel: + self._grpc_channel = type(self).create_channel( + self._host, + # use the credentials which are saved + credentials=self._credentials, + # Set ``credentials_file`` to ``None`` here as + # the credentials that we saved earlier should be used. + credentials_file=None, + scopes=self._scopes, + ssl_credentials=self._ssl_channel_credentials, + quota_project_id=quota_project_id, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + # Wrap messages. This must be done after self._grpc_channel exists + self._prep_wrapped_messages(client_info) + + @classmethod + def create_channel(cls, + host: str = 'documentai.googleapis.com', + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + **kwargs) -> grpc.Channel: + """Create and return a gRPC channel object. + Args: + host (Optional[str]): The host for the channel to use. + credentials (Optional[~.Credentials]): The + authorization credentials to attach to requests. These + credentials identify this application to the service. If + none are specified, the client will attempt to ascertain + the credentials from the environment. + credentials_file (Optional[str]): A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is mutually exclusive with credentials. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + kwargs (Optional[dict]): Keyword arguments, which are passed to the + channel creation. + Returns: + grpc.Channel: A gRPC channel object. + + Raises: + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + + return grpc_helpers.create_channel( + host, + credentials=credentials, + credentials_file=credentials_file, + quota_project_id=quota_project_id, + default_scopes=cls.AUTH_SCOPES, + scopes=scopes, + default_host=cls.DEFAULT_HOST, + **kwargs + ) + + @property + def grpc_channel(self) -> grpc.Channel: + """Return the channel designed to connect to this service. + """ + return self._grpc_channel + + @property + def operations_client(self) -> operations_v1.OperationsClient: + """Create the client designed to process long-running operations. + + This property caches on the instance; repeated calls return the same + client. + """ + # Quick check: Only create a new client if we do not already have one. + if self._operations_client is None: + self._operations_client = operations_v1.OperationsClient( + self.grpc_channel + ) + + # Return the client from cache. + return self._operations_client + + @property + def process_document(self) -> Callable[ + [document_processor_service.ProcessRequest], + document_processor_service.ProcessResponse]: + r"""Return a callable for the process document method over gRPC. + + Processes a single document. + + Returns: + Callable[[~.ProcessRequest], + ~.ProcessResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'process_document' not in self._stubs: + self._stubs['process_document'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1.DocumentProcessorService/ProcessDocument', + request_serializer=document_processor_service.ProcessRequest.serialize, + response_deserializer=document_processor_service.ProcessResponse.deserialize, + ) + return self._stubs['process_document'] + + @property + def batch_process_documents(self) -> Callable[ + [document_processor_service.BatchProcessRequest], + operations_pb2.Operation]: + r"""Return a callable for the batch process documents method over gRPC. + + LRO endpoint to batch process many documents. The output is + written to Cloud Storage as JSON in the [Document] format. + + Returns: + Callable[[~.BatchProcessRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'batch_process_documents' not in self._stubs: + self._stubs['batch_process_documents'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1.DocumentProcessorService/BatchProcessDocuments', + request_serializer=document_processor_service.BatchProcessRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['batch_process_documents'] + + @property + def fetch_processor_types(self) -> Callable[ + [document_processor_service.FetchProcessorTypesRequest], + document_processor_service.FetchProcessorTypesResponse]: + r"""Return a callable for the fetch processor types method over gRPC. + + Fetches processor types. Note that we don't use + [ListProcessorTypes][google.cloud.documentai.v1.DocumentProcessorService.ListProcessorTypes] + here, because it isn't paginated. + + Returns: + Callable[[~.FetchProcessorTypesRequest], + ~.FetchProcessorTypesResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'fetch_processor_types' not in self._stubs: + self._stubs['fetch_processor_types'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1.DocumentProcessorService/FetchProcessorTypes', + request_serializer=document_processor_service.FetchProcessorTypesRequest.serialize, + response_deserializer=document_processor_service.FetchProcessorTypesResponse.deserialize, + ) + return self._stubs['fetch_processor_types'] + + @property + def list_processor_types(self) -> Callable[ + [document_processor_service.ListProcessorTypesRequest], + document_processor_service.ListProcessorTypesResponse]: + r"""Return a callable for the list processor types method over gRPC. + + Lists the processor types that exist. + + Returns: + Callable[[~.ListProcessorTypesRequest], + ~.ListProcessorTypesResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'list_processor_types' not in self._stubs: + self._stubs['list_processor_types'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1.DocumentProcessorService/ListProcessorTypes', + request_serializer=document_processor_service.ListProcessorTypesRequest.serialize, + response_deserializer=document_processor_service.ListProcessorTypesResponse.deserialize, + ) + return self._stubs['list_processor_types'] + + @property + def get_processor_type(self) -> Callable[ + [document_processor_service.GetProcessorTypeRequest], + processor_type.ProcessorType]: + r"""Return a callable for the get processor type method over gRPC. + + Gets a processor type detail. + + Returns: + Callable[[~.GetProcessorTypeRequest], + ~.ProcessorType]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'get_processor_type' not in self._stubs: + self._stubs['get_processor_type'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1.DocumentProcessorService/GetProcessorType', + request_serializer=document_processor_service.GetProcessorTypeRequest.serialize, + response_deserializer=processor_type.ProcessorType.deserialize, + ) + return self._stubs['get_processor_type'] + + @property + def list_processors(self) -> Callable[ + [document_processor_service.ListProcessorsRequest], + document_processor_service.ListProcessorsResponse]: + r"""Return a callable for the list processors method over gRPC. + + Lists all processors which belong to this project. + + Returns: + Callable[[~.ListProcessorsRequest], + ~.ListProcessorsResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'list_processors' not in self._stubs: + self._stubs['list_processors'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1.DocumentProcessorService/ListProcessors', + request_serializer=document_processor_service.ListProcessorsRequest.serialize, + response_deserializer=document_processor_service.ListProcessorsResponse.deserialize, + ) + return self._stubs['list_processors'] + + @property + def get_processor(self) -> Callable[ + [document_processor_service.GetProcessorRequest], + processor.Processor]: + r"""Return a callable for the get processor method over gRPC. + + Gets a processor detail. + + Returns: + Callable[[~.GetProcessorRequest], + ~.Processor]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'get_processor' not in self._stubs: + self._stubs['get_processor'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1.DocumentProcessorService/GetProcessor', + request_serializer=document_processor_service.GetProcessorRequest.serialize, + response_deserializer=processor.Processor.deserialize, + ) + return self._stubs['get_processor'] + + @property + def train_processor_version(self) -> Callable[ + [document_processor_service.TrainProcessorVersionRequest], + operations_pb2.Operation]: + r"""Return a callable for the train processor version method over gRPC. + + Trains a new processor version. Operation metadata is returned + as + [TrainProcessorVersionMetadata][google.cloud.documentai.v1.TrainProcessorVersionMetadata]. + + Returns: + Callable[[~.TrainProcessorVersionRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'train_processor_version' not in self._stubs: + self._stubs['train_processor_version'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1.DocumentProcessorService/TrainProcessorVersion', + request_serializer=document_processor_service.TrainProcessorVersionRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['train_processor_version'] + + @property + def get_processor_version(self) -> Callable[ + [document_processor_service.GetProcessorVersionRequest], + processor.ProcessorVersion]: + r"""Return a callable for the get processor version method over gRPC. + + Gets a processor version detail. + + Returns: + Callable[[~.GetProcessorVersionRequest], + ~.ProcessorVersion]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'get_processor_version' not in self._stubs: + self._stubs['get_processor_version'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1.DocumentProcessorService/GetProcessorVersion', + request_serializer=document_processor_service.GetProcessorVersionRequest.serialize, + response_deserializer=processor.ProcessorVersion.deserialize, + ) + return self._stubs['get_processor_version'] + + @property + def list_processor_versions(self) -> Callable[ + [document_processor_service.ListProcessorVersionsRequest], + document_processor_service.ListProcessorVersionsResponse]: + r"""Return a callable for the list processor versions method over gRPC. + + Lists all versions of a processor. + + Returns: + Callable[[~.ListProcessorVersionsRequest], + ~.ListProcessorVersionsResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'list_processor_versions' not in self._stubs: + self._stubs['list_processor_versions'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1.DocumentProcessorService/ListProcessorVersions', + request_serializer=document_processor_service.ListProcessorVersionsRequest.serialize, + response_deserializer=document_processor_service.ListProcessorVersionsResponse.deserialize, + ) + return self._stubs['list_processor_versions'] + + @property + def delete_processor_version(self) -> Callable[ + [document_processor_service.DeleteProcessorVersionRequest], + operations_pb2.Operation]: + r"""Return a callable for the delete processor version method over gRPC. + + Deletes the processor version, all artifacts under + the processor version will be deleted. + + Returns: + Callable[[~.DeleteProcessorVersionRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'delete_processor_version' not in self._stubs: + self._stubs['delete_processor_version'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1.DocumentProcessorService/DeleteProcessorVersion', + request_serializer=document_processor_service.DeleteProcessorVersionRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['delete_processor_version'] + + @property + def deploy_processor_version(self) -> Callable[ + [document_processor_service.DeployProcessorVersionRequest], + operations_pb2.Operation]: + r"""Return a callable for the deploy processor version method over gRPC. + + Deploys the processor version. + + Returns: + Callable[[~.DeployProcessorVersionRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'deploy_processor_version' not in self._stubs: + self._stubs['deploy_processor_version'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1.DocumentProcessorService/DeployProcessorVersion', + request_serializer=document_processor_service.DeployProcessorVersionRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['deploy_processor_version'] + + @property + def undeploy_processor_version(self) -> Callable[ + [document_processor_service.UndeployProcessorVersionRequest], + operations_pb2.Operation]: + r"""Return a callable for the undeploy processor version method over gRPC. + + Undeploys the processor version. + + Returns: + Callable[[~.UndeployProcessorVersionRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'undeploy_processor_version' not in self._stubs: + self._stubs['undeploy_processor_version'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1.DocumentProcessorService/UndeployProcessorVersion', + request_serializer=document_processor_service.UndeployProcessorVersionRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['undeploy_processor_version'] + + @property + def create_processor(self) -> Callable[ + [document_processor_service.CreateProcessorRequest], + gcd_processor.Processor]: + r"""Return a callable for the create processor method over gRPC. + + Creates a processor from the + [ProcessorType][google.cloud.documentai.v1.ProcessorType] + provided. The processor will be at ``ENABLED`` state by default + after its creation. + + Returns: + Callable[[~.CreateProcessorRequest], + ~.Processor]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'create_processor' not in self._stubs: + self._stubs['create_processor'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1.DocumentProcessorService/CreateProcessor', + request_serializer=document_processor_service.CreateProcessorRequest.serialize, + response_deserializer=gcd_processor.Processor.deserialize, + ) + return self._stubs['create_processor'] + + @property + def delete_processor(self) -> Callable[ + [document_processor_service.DeleteProcessorRequest], + operations_pb2.Operation]: + r"""Return a callable for the delete processor method over gRPC. + + Deletes the processor, unloads all deployed model + artifacts if it was enabled and then deletes all + artifacts associated with this processor. + + Returns: + Callable[[~.DeleteProcessorRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'delete_processor' not in self._stubs: + self._stubs['delete_processor'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1.DocumentProcessorService/DeleteProcessor', + request_serializer=document_processor_service.DeleteProcessorRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['delete_processor'] + + @property + def enable_processor(self) -> Callable[ + [document_processor_service.EnableProcessorRequest], + operations_pb2.Operation]: + r"""Return a callable for the enable processor method over gRPC. + + Enables a processor + + Returns: + Callable[[~.EnableProcessorRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'enable_processor' not in self._stubs: + self._stubs['enable_processor'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1.DocumentProcessorService/EnableProcessor', + request_serializer=document_processor_service.EnableProcessorRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['enable_processor'] + + @property + def disable_processor(self) -> Callable[ + [document_processor_service.DisableProcessorRequest], + operations_pb2.Operation]: + r"""Return a callable for the disable processor method over gRPC. + + Disables a processor + + Returns: + Callable[[~.DisableProcessorRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'disable_processor' not in self._stubs: + self._stubs['disable_processor'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1.DocumentProcessorService/DisableProcessor', + request_serializer=document_processor_service.DisableProcessorRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['disable_processor'] + + @property + def set_default_processor_version(self) -> Callable[ + [document_processor_service.SetDefaultProcessorVersionRequest], + operations_pb2.Operation]: + r"""Return a callable for the set default processor version method over gRPC. + + Set the default (active) version of a + [Processor][google.cloud.documentai.v1.Processor] that will be + used in + [ProcessDocument][google.cloud.documentai.v1.DocumentProcessorService.ProcessDocument] + and + [BatchProcessDocuments][google.cloud.documentai.v1.DocumentProcessorService.BatchProcessDocuments]. + + Returns: + Callable[[~.SetDefaultProcessorVersionRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'set_default_processor_version' not in self._stubs: + self._stubs['set_default_processor_version'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1.DocumentProcessorService/SetDefaultProcessorVersion', + request_serializer=document_processor_service.SetDefaultProcessorVersionRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['set_default_processor_version'] + + @property + def review_document(self) -> Callable[ + [document_processor_service.ReviewDocumentRequest], + operations_pb2.Operation]: + r"""Return a callable for the review document method over gRPC. + + Send a document for Human Review. The input document + should be processed by the specified processor. + + Returns: + Callable[[~.ReviewDocumentRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'review_document' not in self._stubs: + self._stubs['review_document'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1.DocumentProcessorService/ReviewDocument', + request_serializer=document_processor_service.ReviewDocumentRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['review_document'] + + @property + def evaluate_processor_version(self) -> Callable[ + [document_processor_service.EvaluateProcessorVersionRequest], + operations_pb2.Operation]: + r"""Return a callable for the evaluate processor version method over gRPC. + + Evaluates a ProcessorVersion against annotated + documents, producing an Evaluation. + + Returns: + Callable[[~.EvaluateProcessorVersionRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'evaluate_processor_version' not in self._stubs: + self._stubs['evaluate_processor_version'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1.DocumentProcessorService/EvaluateProcessorVersion', + request_serializer=document_processor_service.EvaluateProcessorVersionRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['evaluate_processor_version'] + + @property + def get_evaluation(self) -> Callable[ + [document_processor_service.GetEvaluationRequest], + evaluation.Evaluation]: + r"""Return a callable for the get evaluation method over gRPC. + + Retrieves a specific evaluation. + + Returns: + Callable[[~.GetEvaluationRequest], + ~.Evaluation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'get_evaluation' not in self._stubs: + self._stubs['get_evaluation'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1.DocumentProcessorService/GetEvaluation', + request_serializer=document_processor_service.GetEvaluationRequest.serialize, + response_deserializer=evaluation.Evaluation.deserialize, + ) + return self._stubs['get_evaluation'] + + @property + def list_evaluations(self) -> Callable[ + [document_processor_service.ListEvaluationsRequest], + document_processor_service.ListEvaluationsResponse]: + r"""Return a callable for the list evaluations method over gRPC. + + Retrieves a set of evaluations for a given processor + version. + + Returns: + Callable[[~.ListEvaluationsRequest], + ~.ListEvaluationsResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'list_evaluations' not in self._stubs: + self._stubs['list_evaluations'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1.DocumentProcessorService/ListEvaluations', + request_serializer=document_processor_service.ListEvaluationsRequest.serialize, + response_deserializer=document_processor_service.ListEvaluationsResponse.deserialize, + ) + return self._stubs['list_evaluations'] + + def close(self): + self.grpc_channel.close() + + @property + def cancel_operation( + self, + ) -> Callable[[operations_pb2.CancelOperationRequest], None]: + r"""Return a callable for the cancel_operation method over gRPC. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "cancel_operation" not in self._stubs: + self._stubs["cancel_operation"] = self.grpc_channel.unary_unary( + "/google.longrunning.Operations/CancelOperation", + request_serializer=operations_pb2.CancelOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["cancel_operation"] + + @property + def get_operation( + self, + ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]: + r"""Return a callable for the get_operation method over gRPC. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_operation" not in self._stubs: + self._stubs["get_operation"] = self.grpc_channel.unary_unary( + "/google.longrunning.Operations/GetOperation", + request_serializer=operations_pb2.GetOperationRequest.SerializeToString, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["get_operation"] + + @property + def list_operations( + self, + ) -> Callable[[operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse]: + r"""Return a callable for the list_operations method over gRPC. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_operations" not in self._stubs: + self._stubs["list_operations"] = self.grpc_channel.unary_unary( + "/google.longrunning.Operations/ListOperations", + request_serializer=operations_pb2.ListOperationsRequest.SerializeToString, + response_deserializer=operations_pb2.ListOperationsResponse.FromString, + ) + return self._stubs["list_operations"] + + @property + def list_locations( + self, + ) -> Callable[[locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse]: + r"""Return a callable for the list locations method over gRPC. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_locations" not in self._stubs: + self._stubs["list_locations"] = self.grpc_channel.unary_unary( + "/google.cloud.location.Locations/ListLocations", + request_serializer=locations_pb2.ListLocationsRequest.SerializeToString, + response_deserializer=locations_pb2.ListLocationsResponse.FromString, + ) + return self._stubs["list_locations"] + + @property + def get_location( + self, + ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]: + r"""Return a callable for the list locations method over gRPC. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_location" not in self._stubs: + self._stubs["get_location"] = self.grpc_channel.unary_unary( + "/google.cloud.location.Locations/GetLocation", + request_serializer=locations_pb2.GetLocationRequest.SerializeToString, + response_deserializer=locations_pb2.Location.FromString, + ) + return self._stubs["get_location"] + + @property + def kind(self) -> str: + return "grpc" + + +__all__ = ( + 'DocumentProcessorServiceGrpcTransport', +) diff --git a/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/services/document_processor_service/transports/grpc_asyncio.py b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/services/document_processor_service/transports/grpc_asyncio.py new file mode 100644 index 000000000000..961da248baeb --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/services/document_processor_service/transports/grpc_asyncio.py @@ -0,0 +1,946 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import warnings +from typing import Awaitable, Callable, Dict, Optional, Sequence, Tuple, Union + +from google.api_core import gapic_v1 +from google.api_core import grpc_helpers_async +from google.api_core import operations_v1 +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore + +import grpc # type: ignore +from grpc.experimental import aio # type: ignore + +from google.cloud.documentai_v1.types import document_processor_service +from google.cloud.documentai_v1.types import evaluation +from google.cloud.documentai_v1.types import processor +from google.cloud.documentai_v1.types import processor as gcd_processor +from google.cloud.documentai_v1.types import processor_type +from google.cloud.location import locations_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +from .base import DocumentProcessorServiceTransport, DEFAULT_CLIENT_INFO +from .grpc import DocumentProcessorServiceGrpcTransport + + +class DocumentProcessorServiceGrpcAsyncIOTransport(DocumentProcessorServiceTransport): + """gRPC AsyncIO backend transport for DocumentProcessorService. + + Service to call Document AI to process documents according to + the processor's definition. Processors are built using + state-of-the-art Google AI such as natural language, computer + vision, and translation to extract structured information from + unstructured or semi-structured documents. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends protocol buffers over the wire using gRPC (which is built on + top of HTTP/2); the ``grpcio`` package must be installed. + """ + + _grpc_channel: aio.Channel + _stubs: Dict[str, Callable] = {} + + @classmethod + def create_channel(cls, + host: str = 'documentai.googleapis.com', + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + **kwargs) -> aio.Channel: + """Create and return a gRPC AsyncIO channel object. + Args: + host (Optional[str]): The host for the channel to use. + credentials (Optional[~.Credentials]): The + authorization credentials to attach to requests. These + credentials identify this application to the service. If + none are specified, the client will attempt to ascertain + the credentials from the environment. + credentials_file (Optional[str]): A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if ``channel`` is provided. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + kwargs (Optional[dict]): Keyword arguments, which are passed to the + channel creation. + Returns: + aio.Channel: A gRPC AsyncIO channel object. + """ + + return grpc_helpers_async.create_channel( + host, + credentials=credentials, + credentials_file=credentials_file, + quota_project_id=quota_project_id, + default_scopes=cls.AUTH_SCOPES, + scopes=scopes, + default_host=cls.DEFAULT_HOST, + **kwargs + ) + + def __init__(self, *, + host: str = 'documentai.googleapis.com', + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + channel: Optional[aio.Channel] = None, + api_mtls_endpoint: Optional[str] = None, + client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None, + client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'documentai.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + This argument is ignored if ``channel`` is provided. + credentials_file (Optional[str]): A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if ``channel`` is provided. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + channel (Optional[aio.Channel]): A ``Channel`` instance through + which to make calls. + api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint. + If provided, it overrides the ``host`` argument and tries to create + a mutual TLS channel with client SSL credentials from + ``client_cert_source`` or application default SSL credentials. + client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]): + Deprecated. A callback to provide client SSL certificate bytes and + private key bytes, both in PEM format. It is ignored if + ``api_mtls_endpoint`` is None. + ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials + for the grpc channel. It is ignored if ``channel`` is provided. + client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]): + A callback to provide client certificate bytes and private key bytes, + both in PEM format. It is used to configure a mutual TLS channel. It is + ignored if ``channel`` or ``ssl_channel_credentials`` is provided. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + self._grpc_channel = None + self._ssl_channel_credentials = ssl_channel_credentials + self._stubs: Dict[str, Callable] = {} + self._operations_client: Optional[operations_v1.OperationsAsyncClient] = None + + if api_mtls_endpoint: + warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning) + if client_cert_source: + warnings.warn("client_cert_source is deprecated", DeprecationWarning) + + if channel: + # Ignore credentials if a channel was passed. + credentials = False + # If a channel was explicitly provided, set it. + self._grpc_channel = channel + self._ssl_channel_credentials = None + else: + if api_mtls_endpoint: + host = api_mtls_endpoint + + # Create SSL credentials with client_cert_source or application + # default SSL credentials. + if client_cert_source: + cert, key = client_cert_source() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + else: + self._ssl_channel_credentials = SslCredentials().ssl_credentials + + else: + if client_cert_source_for_mtls and not ssl_channel_credentials: + cert, key = client_cert_source_for_mtls() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + + # The base transport sets the host, credentials and scopes + super().__init__( + host=host, + credentials=credentials, + credentials_file=credentials_file, + scopes=scopes, + quota_project_id=quota_project_id, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience, + ) + + if not self._grpc_channel: + self._grpc_channel = type(self).create_channel( + self._host, + # use the credentials which are saved + credentials=self._credentials, + # Set ``credentials_file`` to ``None`` here as + # the credentials that we saved earlier should be used. + credentials_file=None, + scopes=self._scopes, + ssl_credentials=self._ssl_channel_credentials, + quota_project_id=quota_project_id, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + # Wrap messages. This must be done after self._grpc_channel exists + self._prep_wrapped_messages(client_info) + + @property + def grpc_channel(self) -> aio.Channel: + """Create the channel designed to connect to this service. + + This property caches on the instance; repeated calls return + the same channel. + """ + # Return the channel from cache. + return self._grpc_channel + + @property + def operations_client(self) -> operations_v1.OperationsAsyncClient: + """Create the client designed to process long-running operations. + + This property caches on the instance; repeated calls return the same + client. + """ + # Quick check: Only create a new client if we do not already have one. + if self._operations_client is None: + self._operations_client = operations_v1.OperationsAsyncClient( + self.grpc_channel + ) + + # Return the client from cache. + return self._operations_client + + @property + def process_document(self) -> Callable[ + [document_processor_service.ProcessRequest], + Awaitable[document_processor_service.ProcessResponse]]: + r"""Return a callable for the process document method over gRPC. + + Processes a single document. + + Returns: + Callable[[~.ProcessRequest], + Awaitable[~.ProcessResponse]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'process_document' not in self._stubs: + self._stubs['process_document'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1.DocumentProcessorService/ProcessDocument', + request_serializer=document_processor_service.ProcessRequest.serialize, + response_deserializer=document_processor_service.ProcessResponse.deserialize, + ) + return self._stubs['process_document'] + + @property + def batch_process_documents(self) -> Callable[ + [document_processor_service.BatchProcessRequest], + Awaitable[operations_pb2.Operation]]: + r"""Return a callable for the batch process documents method over gRPC. + + LRO endpoint to batch process many documents. The output is + written to Cloud Storage as JSON in the [Document] format. + + Returns: + Callable[[~.BatchProcessRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'batch_process_documents' not in self._stubs: + self._stubs['batch_process_documents'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1.DocumentProcessorService/BatchProcessDocuments', + request_serializer=document_processor_service.BatchProcessRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['batch_process_documents'] + + @property + def fetch_processor_types(self) -> Callable[ + [document_processor_service.FetchProcessorTypesRequest], + Awaitable[document_processor_service.FetchProcessorTypesResponse]]: + r"""Return a callable for the fetch processor types method over gRPC. + + Fetches processor types. Note that we don't use + [ListProcessorTypes][google.cloud.documentai.v1.DocumentProcessorService.ListProcessorTypes] + here, because it isn't paginated. + + Returns: + Callable[[~.FetchProcessorTypesRequest], + Awaitable[~.FetchProcessorTypesResponse]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'fetch_processor_types' not in self._stubs: + self._stubs['fetch_processor_types'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1.DocumentProcessorService/FetchProcessorTypes', + request_serializer=document_processor_service.FetchProcessorTypesRequest.serialize, + response_deserializer=document_processor_service.FetchProcessorTypesResponse.deserialize, + ) + return self._stubs['fetch_processor_types'] + + @property + def list_processor_types(self) -> Callable[ + [document_processor_service.ListProcessorTypesRequest], + Awaitable[document_processor_service.ListProcessorTypesResponse]]: + r"""Return a callable for the list processor types method over gRPC. + + Lists the processor types that exist. + + Returns: + Callable[[~.ListProcessorTypesRequest], + Awaitable[~.ListProcessorTypesResponse]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'list_processor_types' not in self._stubs: + self._stubs['list_processor_types'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1.DocumentProcessorService/ListProcessorTypes', + request_serializer=document_processor_service.ListProcessorTypesRequest.serialize, + response_deserializer=document_processor_service.ListProcessorTypesResponse.deserialize, + ) + return self._stubs['list_processor_types'] + + @property + def get_processor_type(self) -> Callable[ + [document_processor_service.GetProcessorTypeRequest], + Awaitable[processor_type.ProcessorType]]: + r"""Return a callable for the get processor type method over gRPC. + + Gets a processor type detail. + + Returns: + Callable[[~.GetProcessorTypeRequest], + Awaitable[~.ProcessorType]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'get_processor_type' not in self._stubs: + self._stubs['get_processor_type'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1.DocumentProcessorService/GetProcessorType', + request_serializer=document_processor_service.GetProcessorTypeRequest.serialize, + response_deserializer=processor_type.ProcessorType.deserialize, + ) + return self._stubs['get_processor_type'] + + @property + def list_processors(self) -> Callable[ + [document_processor_service.ListProcessorsRequest], + Awaitable[document_processor_service.ListProcessorsResponse]]: + r"""Return a callable for the list processors method over gRPC. + + Lists all processors which belong to this project. + + Returns: + Callable[[~.ListProcessorsRequest], + Awaitable[~.ListProcessorsResponse]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'list_processors' not in self._stubs: + self._stubs['list_processors'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1.DocumentProcessorService/ListProcessors', + request_serializer=document_processor_service.ListProcessorsRequest.serialize, + response_deserializer=document_processor_service.ListProcessorsResponse.deserialize, + ) + return self._stubs['list_processors'] + + @property + def get_processor(self) -> Callable[ + [document_processor_service.GetProcessorRequest], + Awaitable[processor.Processor]]: + r"""Return a callable for the get processor method over gRPC. + + Gets a processor detail. + + Returns: + Callable[[~.GetProcessorRequest], + Awaitable[~.Processor]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'get_processor' not in self._stubs: + self._stubs['get_processor'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1.DocumentProcessorService/GetProcessor', + request_serializer=document_processor_service.GetProcessorRequest.serialize, + response_deserializer=processor.Processor.deserialize, + ) + return self._stubs['get_processor'] + + @property + def train_processor_version(self) -> Callable[ + [document_processor_service.TrainProcessorVersionRequest], + Awaitable[operations_pb2.Operation]]: + r"""Return a callable for the train processor version method over gRPC. + + Trains a new processor version. Operation metadata is returned + as + [TrainProcessorVersionMetadata][google.cloud.documentai.v1.TrainProcessorVersionMetadata]. + + Returns: + Callable[[~.TrainProcessorVersionRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'train_processor_version' not in self._stubs: + self._stubs['train_processor_version'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1.DocumentProcessorService/TrainProcessorVersion', + request_serializer=document_processor_service.TrainProcessorVersionRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['train_processor_version'] + + @property + def get_processor_version(self) -> Callable[ + [document_processor_service.GetProcessorVersionRequest], + Awaitable[processor.ProcessorVersion]]: + r"""Return a callable for the get processor version method over gRPC. + + Gets a processor version detail. + + Returns: + Callable[[~.GetProcessorVersionRequest], + Awaitable[~.ProcessorVersion]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'get_processor_version' not in self._stubs: + self._stubs['get_processor_version'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1.DocumentProcessorService/GetProcessorVersion', + request_serializer=document_processor_service.GetProcessorVersionRequest.serialize, + response_deserializer=processor.ProcessorVersion.deserialize, + ) + return self._stubs['get_processor_version'] + + @property + def list_processor_versions(self) -> Callable[ + [document_processor_service.ListProcessorVersionsRequest], + Awaitable[document_processor_service.ListProcessorVersionsResponse]]: + r"""Return a callable for the list processor versions method over gRPC. + + Lists all versions of a processor. + + Returns: + Callable[[~.ListProcessorVersionsRequest], + Awaitable[~.ListProcessorVersionsResponse]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'list_processor_versions' not in self._stubs: + self._stubs['list_processor_versions'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1.DocumentProcessorService/ListProcessorVersions', + request_serializer=document_processor_service.ListProcessorVersionsRequest.serialize, + response_deserializer=document_processor_service.ListProcessorVersionsResponse.deserialize, + ) + return self._stubs['list_processor_versions'] + + @property + def delete_processor_version(self) -> Callable[ + [document_processor_service.DeleteProcessorVersionRequest], + Awaitable[operations_pb2.Operation]]: + r"""Return a callable for the delete processor version method over gRPC. + + Deletes the processor version, all artifacts under + the processor version will be deleted. + + Returns: + Callable[[~.DeleteProcessorVersionRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'delete_processor_version' not in self._stubs: + self._stubs['delete_processor_version'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1.DocumentProcessorService/DeleteProcessorVersion', + request_serializer=document_processor_service.DeleteProcessorVersionRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['delete_processor_version'] + + @property + def deploy_processor_version(self) -> Callable[ + [document_processor_service.DeployProcessorVersionRequest], + Awaitable[operations_pb2.Operation]]: + r"""Return a callable for the deploy processor version method over gRPC. + + Deploys the processor version. + + Returns: + Callable[[~.DeployProcessorVersionRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'deploy_processor_version' not in self._stubs: + self._stubs['deploy_processor_version'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1.DocumentProcessorService/DeployProcessorVersion', + request_serializer=document_processor_service.DeployProcessorVersionRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['deploy_processor_version'] + + @property + def undeploy_processor_version(self) -> Callable[ + [document_processor_service.UndeployProcessorVersionRequest], + Awaitable[operations_pb2.Operation]]: + r"""Return a callable for the undeploy processor version method over gRPC. + + Undeploys the processor version. + + Returns: + Callable[[~.UndeployProcessorVersionRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'undeploy_processor_version' not in self._stubs: + self._stubs['undeploy_processor_version'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1.DocumentProcessorService/UndeployProcessorVersion', + request_serializer=document_processor_service.UndeployProcessorVersionRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['undeploy_processor_version'] + + @property + def create_processor(self) -> Callable[ + [document_processor_service.CreateProcessorRequest], + Awaitable[gcd_processor.Processor]]: + r"""Return a callable for the create processor method over gRPC. + + Creates a processor from the + [ProcessorType][google.cloud.documentai.v1.ProcessorType] + provided. The processor will be at ``ENABLED`` state by default + after its creation. + + Returns: + Callable[[~.CreateProcessorRequest], + Awaitable[~.Processor]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'create_processor' not in self._stubs: + self._stubs['create_processor'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1.DocumentProcessorService/CreateProcessor', + request_serializer=document_processor_service.CreateProcessorRequest.serialize, + response_deserializer=gcd_processor.Processor.deserialize, + ) + return self._stubs['create_processor'] + + @property + def delete_processor(self) -> Callable[ + [document_processor_service.DeleteProcessorRequest], + Awaitable[operations_pb2.Operation]]: + r"""Return a callable for the delete processor method over gRPC. + + Deletes the processor, unloads all deployed model + artifacts if it was enabled and then deletes all + artifacts associated with this processor. + + Returns: + Callable[[~.DeleteProcessorRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'delete_processor' not in self._stubs: + self._stubs['delete_processor'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1.DocumentProcessorService/DeleteProcessor', + request_serializer=document_processor_service.DeleteProcessorRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['delete_processor'] + + @property + def enable_processor(self) -> Callable[ + [document_processor_service.EnableProcessorRequest], + Awaitable[operations_pb2.Operation]]: + r"""Return a callable for the enable processor method over gRPC. + + Enables a processor + + Returns: + Callable[[~.EnableProcessorRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'enable_processor' not in self._stubs: + self._stubs['enable_processor'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1.DocumentProcessorService/EnableProcessor', + request_serializer=document_processor_service.EnableProcessorRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['enable_processor'] + + @property + def disable_processor(self) -> Callable[ + [document_processor_service.DisableProcessorRequest], + Awaitable[operations_pb2.Operation]]: + r"""Return a callable for the disable processor method over gRPC. + + Disables a processor + + Returns: + Callable[[~.DisableProcessorRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'disable_processor' not in self._stubs: + self._stubs['disable_processor'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1.DocumentProcessorService/DisableProcessor', + request_serializer=document_processor_service.DisableProcessorRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['disable_processor'] + + @property + def set_default_processor_version(self) -> Callable[ + [document_processor_service.SetDefaultProcessorVersionRequest], + Awaitable[operations_pb2.Operation]]: + r"""Return a callable for the set default processor version method over gRPC. + + Set the default (active) version of a + [Processor][google.cloud.documentai.v1.Processor] that will be + used in + [ProcessDocument][google.cloud.documentai.v1.DocumentProcessorService.ProcessDocument] + and + [BatchProcessDocuments][google.cloud.documentai.v1.DocumentProcessorService.BatchProcessDocuments]. + + Returns: + Callable[[~.SetDefaultProcessorVersionRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'set_default_processor_version' not in self._stubs: + self._stubs['set_default_processor_version'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1.DocumentProcessorService/SetDefaultProcessorVersion', + request_serializer=document_processor_service.SetDefaultProcessorVersionRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['set_default_processor_version'] + + @property + def review_document(self) -> Callable[ + [document_processor_service.ReviewDocumentRequest], + Awaitable[operations_pb2.Operation]]: + r"""Return a callable for the review document method over gRPC. + + Send a document for Human Review. The input document + should be processed by the specified processor. + + Returns: + Callable[[~.ReviewDocumentRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'review_document' not in self._stubs: + self._stubs['review_document'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1.DocumentProcessorService/ReviewDocument', + request_serializer=document_processor_service.ReviewDocumentRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['review_document'] + + @property + def evaluate_processor_version(self) -> Callable[ + [document_processor_service.EvaluateProcessorVersionRequest], + Awaitable[operations_pb2.Operation]]: + r"""Return a callable for the evaluate processor version method over gRPC. + + Evaluates a ProcessorVersion against annotated + documents, producing an Evaluation. + + Returns: + Callable[[~.EvaluateProcessorVersionRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'evaluate_processor_version' not in self._stubs: + self._stubs['evaluate_processor_version'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1.DocumentProcessorService/EvaluateProcessorVersion', + request_serializer=document_processor_service.EvaluateProcessorVersionRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['evaluate_processor_version'] + + @property + def get_evaluation(self) -> Callable[ + [document_processor_service.GetEvaluationRequest], + Awaitable[evaluation.Evaluation]]: + r"""Return a callable for the get evaluation method over gRPC. + + Retrieves a specific evaluation. + + Returns: + Callable[[~.GetEvaluationRequest], + Awaitable[~.Evaluation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'get_evaluation' not in self._stubs: + self._stubs['get_evaluation'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1.DocumentProcessorService/GetEvaluation', + request_serializer=document_processor_service.GetEvaluationRequest.serialize, + response_deserializer=evaluation.Evaluation.deserialize, + ) + return self._stubs['get_evaluation'] + + @property + def list_evaluations(self) -> Callable[ + [document_processor_service.ListEvaluationsRequest], + Awaitable[document_processor_service.ListEvaluationsResponse]]: + r"""Return a callable for the list evaluations method over gRPC. + + Retrieves a set of evaluations for a given processor + version. + + Returns: + Callable[[~.ListEvaluationsRequest], + Awaitable[~.ListEvaluationsResponse]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'list_evaluations' not in self._stubs: + self._stubs['list_evaluations'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1.DocumentProcessorService/ListEvaluations', + request_serializer=document_processor_service.ListEvaluationsRequest.serialize, + response_deserializer=document_processor_service.ListEvaluationsResponse.deserialize, + ) + return self._stubs['list_evaluations'] + + def close(self): + return self.grpc_channel.close() + + @property + def cancel_operation( + self, + ) -> Callable[[operations_pb2.CancelOperationRequest], None]: + r"""Return a callable for the cancel_operation method over gRPC. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "cancel_operation" not in self._stubs: + self._stubs["cancel_operation"] = self.grpc_channel.unary_unary( + "/google.longrunning.Operations/CancelOperation", + request_serializer=operations_pb2.CancelOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["cancel_operation"] + + @property + def get_operation( + self, + ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]: + r"""Return a callable for the get_operation method over gRPC. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_operation" not in self._stubs: + self._stubs["get_operation"] = self.grpc_channel.unary_unary( + "/google.longrunning.Operations/GetOperation", + request_serializer=operations_pb2.GetOperationRequest.SerializeToString, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["get_operation"] + + @property + def list_operations( + self, + ) -> Callable[[operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse]: + r"""Return a callable for the list_operations method over gRPC. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_operations" not in self._stubs: + self._stubs["list_operations"] = self.grpc_channel.unary_unary( + "/google.longrunning.Operations/ListOperations", + request_serializer=operations_pb2.ListOperationsRequest.SerializeToString, + response_deserializer=operations_pb2.ListOperationsResponse.FromString, + ) + return self._stubs["list_operations"] + + @property + def list_locations( + self, + ) -> Callable[[locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse]: + r"""Return a callable for the list locations method over gRPC. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_locations" not in self._stubs: + self._stubs["list_locations"] = self.grpc_channel.unary_unary( + "/google.cloud.location.Locations/ListLocations", + request_serializer=locations_pb2.ListLocationsRequest.SerializeToString, + response_deserializer=locations_pb2.ListLocationsResponse.FromString, + ) + return self._stubs["list_locations"] + + @property + def get_location( + self, + ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]: + r"""Return a callable for the list locations method over gRPC. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_location" not in self._stubs: + self._stubs["get_location"] = self.grpc_channel.unary_unary( + "/google.cloud.location.Locations/GetLocation", + request_serializer=locations_pb2.GetLocationRequest.SerializeToString, + response_deserializer=locations_pb2.Location.FromString, + ) + return self._stubs["get_location"] + + +__all__ = ( + 'DocumentProcessorServiceGrpcAsyncIOTransport', +) diff --git a/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/services/document_processor_service/transports/rest.py b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/services/document_processor_service/transports/rest.py new file mode 100644 index 000000000000..ba53b86688c9 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/services/document_processor_service/transports/rest.py @@ -0,0 +1,3284 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +from google.auth.transport.requests import AuthorizedSession # type: ignore +import json # type: ignore +import grpc # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.auth import credentials as ga_credentials # type: ignore +from google.api_core import exceptions as core_exceptions +from google.api_core import retry as retries +from google.api_core import rest_helpers +from google.api_core import rest_streaming +from google.api_core import path_template +from google.api_core import gapic_v1 + +from google.protobuf import json_format +from google.api_core import operations_v1 +from google.cloud.location import locations_pb2 # type: ignore +from requests import __version__ as requests_version +import dataclasses +import re +from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Union +import warnings + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + + +from google.cloud.documentai_v1.types import document_processor_service +from google.cloud.documentai_v1.types import evaluation +from google.cloud.documentai_v1.types import processor +from google.cloud.documentai_v1.types import processor as gcd_processor +from google.cloud.documentai_v1.types import processor_type +from google.longrunning import operations_pb2 # type: ignore + +from .base import DocumentProcessorServiceTransport, DEFAULT_CLIENT_INFO as BASE_DEFAULT_CLIENT_INFO + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=BASE_DEFAULT_CLIENT_INFO.gapic_version, + grpc_version=None, + rest_version=requests_version, +) + + +class DocumentProcessorServiceRestInterceptor: + """Interceptor for DocumentProcessorService. + + Interceptors are used to manipulate requests, request metadata, and responses + in arbitrary ways. + Example use cases include: + * Logging + * Verifying requests according to service or custom semantics + * Stripping extraneous information from responses + + These use cases and more can be enabled by injecting an + instance of a custom subclass when constructing the DocumentProcessorServiceRestTransport. + + .. code-block:: python + class MyCustomDocumentProcessorServiceInterceptor(DocumentProcessorServiceRestInterceptor): + def pre_batch_process_documents(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_batch_process_documents(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_create_processor(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_create_processor(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_delete_processor(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_delete_processor(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_delete_processor_version(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_delete_processor_version(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_deploy_processor_version(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_deploy_processor_version(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_disable_processor(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_disable_processor(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_enable_processor(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_enable_processor(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_evaluate_processor_version(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_evaluate_processor_version(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_fetch_processor_types(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_fetch_processor_types(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_get_evaluation(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_get_evaluation(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_get_processor(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_get_processor(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_get_processor_type(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_get_processor_type(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_get_processor_version(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_get_processor_version(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_list_evaluations(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_list_evaluations(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_list_processors(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_list_processors(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_list_processor_types(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_list_processor_types(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_list_processor_versions(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_list_processor_versions(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_process_document(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_process_document(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_review_document(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_review_document(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_set_default_processor_version(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_set_default_processor_version(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_train_processor_version(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_train_processor_version(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_undeploy_processor_version(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_undeploy_processor_version(self, response): + logging.log(f"Received response: {response}") + return response + + transport = DocumentProcessorServiceRestTransport(interceptor=MyCustomDocumentProcessorServiceInterceptor()) + client = DocumentProcessorServiceClient(transport=transport) + + + """ + def pre_batch_process_documents(self, request: document_processor_service.BatchProcessRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_processor_service.BatchProcessRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for batch_process_documents + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_batch_process_documents(self, response: operations_pb2.Operation) -> operations_pb2.Operation: + """Post-rpc interceptor for batch_process_documents + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_create_processor(self, request: document_processor_service.CreateProcessorRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_processor_service.CreateProcessorRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for create_processor + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_create_processor(self, response: gcd_processor.Processor) -> gcd_processor.Processor: + """Post-rpc interceptor for create_processor + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_delete_processor(self, request: document_processor_service.DeleteProcessorRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_processor_service.DeleteProcessorRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for delete_processor + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_delete_processor(self, response: operations_pb2.Operation) -> operations_pb2.Operation: + """Post-rpc interceptor for delete_processor + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_delete_processor_version(self, request: document_processor_service.DeleteProcessorVersionRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_processor_service.DeleteProcessorVersionRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for delete_processor_version + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_delete_processor_version(self, response: operations_pb2.Operation) -> operations_pb2.Operation: + """Post-rpc interceptor for delete_processor_version + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_deploy_processor_version(self, request: document_processor_service.DeployProcessorVersionRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_processor_service.DeployProcessorVersionRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for deploy_processor_version + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_deploy_processor_version(self, response: operations_pb2.Operation) -> operations_pb2.Operation: + """Post-rpc interceptor for deploy_processor_version + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_disable_processor(self, request: document_processor_service.DisableProcessorRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_processor_service.DisableProcessorRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for disable_processor + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_disable_processor(self, response: operations_pb2.Operation) -> operations_pb2.Operation: + """Post-rpc interceptor for disable_processor + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_enable_processor(self, request: document_processor_service.EnableProcessorRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_processor_service.EnableProcessorRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for enable_processor + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_enable_processor(self, response: operations_pb2.Operation) -> operations_pb2.Operation: + """Post-rpc interceptor for enable_processor + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_evaluate_processor_version(self, request: document_processor_service.EvaluateProcessorVersionRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_processor_service.EvaluateProcessorVersionRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for evaluate_processor_version + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_evaluate_processor_version(self, response: operations_pb2.Operation) -> operations_pb2.Operation: + """Post-rpc interceptor for evaluate_processor_version + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_fetch_processor_types(self, request: document_processor_service.FetchProcessorTypesRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_processor_service.FetchProcessorTypesRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for fetch_processor_types + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_fetch_processor_types(self, response: document_processor_service.FetchProcessorTypesResponse) -> document_processor_service.FetchProcessorTypesResponse: + """Post-rpc interceptor for fetch_processor_types + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_get_evaluation(self, request: document_processor_service.GetEvaluationRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_processor_service.GetEvaluationRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for get_evaluation + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_get_evaluation(self, response: evaluation.Evaluation) -> evaluation.Evaluation: + """Post-rpc interceptor for get_evaluation + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_get_processor(self, request: document_processor_service.GetProcessorRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_processor_service.GetProcessorRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for get_processor + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_get_processor(self, response: processor.Processor) -> processor.Processor: + """Post-rpc interceptor for get_processor + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_get_processor_type(self, request: document_processor_service.GetProcessorTypeRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_processor_service.GetProcessorTypeRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for get_processor_type + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_get_processor_type(self, response: processor_type.ProcessorType) -> processor_type.ProcessorType: + """Post-rpc interceptor for get_processor_type + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_get_processor_version(self, request: document_processor_service.GetProcessorVersionRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_processor_service.GetProcessorVersionRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for get_processor_version + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_get_processor_version(self, response: processor.ProcessorVersion) -> processor.ProcessorVersion: + """Post-rpc interceptor for get_processor_version + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_list_evaluations(self, request: document_processor_service.ListEvaluationsRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_processor_service.ListEvaluationsRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for list_evaluations + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_list_evaluations(self, response: document_processor_service.ListEvaluationsResponse) -> document_processor_service.ListEvaluationsResponse: + """Post-rpc interceptor for list_evaluations + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_list_processors(self, request: document_processor_service.ListProcessorsRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_processor_service.ListProcessorsRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for list_processors + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_list_processors(self, response: document_processor_service.ListProcessorsResponse) -> document_processor_service.ListProcessorsResponse: + """Post-rpc interceptor for list_processors + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_list_processor_types(self, request: document_processor_service.ListProcessorTypesRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_processor_service.ListProcessorTypesRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for list_processor_types + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_list_processor_types(self, response: document_processor_service.ListProcessorTypesResponse) -> document_processor_service.ListProcessorTypesResponse: + """Post-rpc interceptor for list_processor_types + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_list_processor_versions(self, request: document_processor_service.ListProcessorVersionsRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_processor_service.ListProcessorVersionsRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for list_processor_versions + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_list_processor_versions(self, response: document_processor_service.ListProcessorVersionsResponse) -> document_processor_service.ListProcessorVersionsResponse: + """Post-rpc interceptor for list_processor_versions + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_process_document(self, request: document_processor_service.ProcessRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_processor_service.ProcessRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for process_document + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_process_document(self, response: document_processor_service.ProcessResponse) -> document_processor_service.ProcessResponse: + """Post-rpc interceptor for process_document + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_review_document(self, request: document_processor_service.ReviewDocumentRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_processor_service.ReviewDocumentRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for review_document + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_review_document(self, response: operations_pb2.Operation) -> operations_pb2.Operation: + """Post-rpc interceptor for review_document + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_set_default_processor_version(self, request: document_processor_service.SetDefaultProcessorVersionRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_processor_service.SetDefaultProcessorVersionRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for set_default_processor_version + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_set_default_processor_version(self, response: operations_pb2.Operation) -> operations_pb2.Operation: + """Post-rpc interceptor for set_default_processor_version + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_train_processor_version(self, request: document_processor_service.TrainProcessorVersionRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_processor_service.TrainProcessorVersionRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for train_processor_version + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_train_processor_version(self, response: operations_pb2.Operation) -> operations_pb2.Operation: + """Post-rpc interceptor for train_processor_version + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_undeploy_processor_version(self, request: document_processor_service.UndeployProcessorVersionRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_processor_service.UndeployProcessorVersionRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for undeploy_processor_version + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_undeploy_processor_version(self, response: operations_pb2.Operation) -> operations_pb2.Operation: + """Post-rpc interceptor for undeploy_processor_version + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + + def pre_get_location( + self, request: locations_pb2.GetLocationRequest, metadata: Sequence[Tuple[str, str]] + ) -> Tuple[locations_pb2.GetLocationRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for get_location + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_get_location( + self, response: locations_pb2.Location + ) -> locations_pb2.Location: + """Post-rpc interceptor for get_location + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_list_locations( + self, request: locations_pb2.ListLocationsRequest, metadata: Sequence[Tuple[str, str]] + ) -> Tuple[locations_pb2.ListLocationsRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for list_locations + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_list_locations( + self, response: locations_pb2.ListLocationsResponse + ) -> locations_pb2.ListLocationsResponse: + """Post-rpc interceptor for list_locations + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_cancel_operation( + self, request: operations_pb2.CancelOperationRequest, metadata: Sequence[Tuple[str, str]] + ) -> Tuple[operations_pb2.CancelOperationRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for cancel_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_cancel_operation( + self, response: None + ) -> None: + """Post-rpc interceptor for cancel_operation + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_get_operation( + self, request: operations_pb2.GetOperationRequest, metadata: Sequence[Tuple[str, str]] + ) -> Tuple[operations_pb2.GetOperationRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for get_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_get_operation( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for get_operation + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_list_operations( + self, request: operations_pb2.ListOperationsRequest, metadata: Sequence[Tuple[str, str]] + ) -> Tuple[operations_pb2.ListOperationsRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for list_operations + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_list_operations( + self, response: operations_pb2.ListOperationsResponse + ) -> operations_pb2.ListOperationsResponse: + """Post-rpc interceptor for list_operations + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + + +@dataclasses.dataclass +class DocumentProcessorServiceRestStub: + _session: AuthorizedSession + _host: str + _interceptor: DocumentProcessorServiceRestInterceptor + + +class DocumentProcessorServiceRestTransport(DocumentProcessorServiceTransport): + """REST backend transport for DocumentProcessorService. + + Service to call Document AI to process documents according to + the processor's definition. Processors are built using + state-of-the-art Google AI such as natural language, computer + vision, and translation to extract structured information from + unstructured or semi-structured documents. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends JSON representations of protocol buffers over HTTP/1.1 + + """ + + def __init__(self, *, + host: str = 'documentai.googleapis.com', + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + client_cert_source_for_mtls: Optional[Callable[[ + ], Tuple[bytes, bytes]]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + url_scheme: str = 'https', + interceptor: Optional[DocumentProcessorServiceRestInterceptor] = None, + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'documentai.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + + credentials_file (Optional[str]): A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if ``channel`` is provided. + scopes (Optional(Sequence[str])): A list of scopes. This argument is + ignored if ``channel`` is provided. + client_cert_source_for_mtls (Callable[[], Tuple[bytes, bytes]]): Client + certificate to configure mutual TLS HTTP channel. It is ignored + if ``channel`` is provided. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you are developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + url_scheme: the protocol scheme for the API endpoint. Normally + "https", but for testing or local servers, + "http" can be specified. + """ + # Run the base constructor + # TODO(yon-mg): resolve other ctor params i.e. scopes, quota, etc. + # TODO: When custom host (api_endpoint) is set, `scopes` must *also* be set on the + # credentials object + maybe_url_match = re.match("^(?Phttp(?:s)?://)?(?P.*)$", host) + if maybe_url_match is None: + raise ValueError(f"Unexpected hostname structure: {host}") # pragma: NO COVER + + url_match_items = maybe_url_match.groupdict() + + host = f"{url_scheme}://{host}" if not url_match_items["scheme"] else host + + super().__init__( + host=host, + credentials=credentials, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience + ) + self._session = AuthorizedSession( + self._credentials, default_host=self.DEFAULT_HOST) + self._operations_client: Optional[operations_v1.AbstractOperationsClient] = None + if client_cert_source_for_mtls: + self._session.configure_mtls_channel(client_cert_source_for_mtls) + self._interceptor = interceptor or DocumentProcessorServiceRestInterceptor() + self._prep_wrapped_messages(client_info) + + @property + def operations_client(self) -> operations_v1.AbstractOperationsClient: + """Create the client designed to process long-running operations. + + This property caches on the instance; repeated calls return the same + client. + """ + # Only create a new client if we do not already have one. + if self._operations_client is None: + http_options: Dict[str, List[Dict[str, str]]] = { + 'google.longrunning.Operations.CancelOperation': [ + { + 'method': 'post', + 'uri': '/v1/{name=projects/*/locations/*/operations/*}:cancel', + }, + { + 'method': 'post', + 'uri': '/uiv1beta3/{name=projects/*/locations/*/operations/*}:cancel', + }, + ], + 'google.longrunning.Operations.GetOperation': [ + { + 'method': 'get', + 'uri': '/v1/{name=projects/*/operations/*}', + }, + { + 'method': 'get', + 'uri': '/v1/{name=projects/*/locations/*/operations/*}', + }, + { + 'method': 'get', + 'uri': '/uiv1beta3/{name=projects/*/locations/*/operations/*}', + }, + ], + 'google.longrunning.Operations.ListOperations': [ + { + 'method': 'get', + 'uri': '/v1/{name=projects/*/locations/*/operations}', + }, + { + 'method': 'get', + 'uri': '/uiv1beta3/{name=projects/*/locations/*/operations}', + }, + ], + } + + rest_transport = operations_v1.OperationsRestTransport( + host=self._host, + # use the credentials which are saved + credentials=self._credentials, + scopes=self._scopes, + http_options=http_options, + path_prefix="v1") + + self._operations_client = operations_v1.AbstractOperationsClient(transport=rest_transport) + + # Return the client from cache. + return self._operations_client + + class _BatchProcessDocuments(DocumentProcessorServiceRestStub): + def __hash__(self): + return hash("BatchProcessDocuments") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_processor_service.BatchProcessRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> operations_pb2.Operation: + r"""Call the batch process documents method over HTTP. + + Args: + request (~.document_processor_service.BatchProcessRequest): + The request object. Request message for + [BatchProcessDocuments][google.cloud.documentai.v1.DocumentProcessorService.BatchProcessDocuments]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'post', + 'uri': '/v1/{name=projects/*/locations/*/processors/*}:batchProcess', + 'body': '*', + }, +{ + 'method': 'post', + 'uri': '/v1/{name=projects/*/locations/*/processors/*/processorVersions/*}:batchProcess', + 'body': '*', + }, + ] + request, metadata = self._interceptor.pre_batch_process_documents(request, metadata) + pb_request = document_processor_service.BatchProcessRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request['body'], + use_integers_for_enums=True + ) + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = operations_pb2.Operation() + json_format.Parse(response.content, resp, ignore_unknown_fields=True) + resp = self._interceptor.post_batch_process_documents(resp) + return resp + + class _CreateProcessor(DocumentProcessorServiceRestStub): + def __hash__(self): + return hash("CreateProcessor") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_processor_service.CreateProcessorRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> gcd_processor.Processor: + r"""Call the create processor method over HTTP. + + Args: + request (~.document_processor_service.CreateProcessorRequest): + The request object. Request message for the + [CreateProcessor][google.cloud.documentai.v1.DocumentProcessorService.CreateProcessor] + method. Notice this request is sent to a regionalized + backend service. If the + [ProcessorType][google.cloud.documentai.v1.ProcessorType] + isn't available in that region, the creation fails. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.gcd_processor.Processor: + The first-class citizen for Document + AI. Each processor defines how to + extract structural information from a + document. + + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'post', + 'uri': '/v1/{parent=projects/*/locations/*}/processors', + 'body': 'processor', + }, + ] + request, metadata = self._interceptor.pre_create_processor(request, metadata) + pb_request = document_processor_service.CreateProcessorRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request['body'], + use_integers_for_enums=True + ) + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = gcd_processor.Processor() + pb_resp = gcd_processor.Processor.pb(resp) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + resp = self._interceptor.post_create_processor(resp) + return resp + + class _DeleteProcessor(DocumentProcessorServiceRestStub): + def __hash__(self): + return hash("DeleteProcessor") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_processor_service.DeleteProcessorRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> operations_pb2.Operation: + r"""Call the delete processor method over HTTP. + + Args: + request (~.document_processor_service.DeleteProcessorRequest): + The request object. Request message for the + [DeleteProcessor][google.cloud.documentai.v1.DocumentProcessorService.DeleteProcessor] + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'delete', + 'uri': '/v1/{name=projects/*/locations/*/processors/*}', + }, + ] + request, metadata = self._interceptor.pre_delete_processor(request, metadata) + pb_request = document_processor_service.DeleteProcessorRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = operations_pb2.Operation() + json_format.Parse(response.content, resp, ignore_unknown_fields=True) + resp = self._interceptor.post_delete_processor(resp) + return resp + + class _DeleteProcessorVersion(DocumentProcessorServiceRestStub): + def __hash__(self): + return hash("DeleteProcessorVersion") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_processor_service.DeleteProcessorVersionRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> operations_pb2.Operation: + r"""Call the delete processor version method over HTTP. + + Args: + request (~.document_processor_service.DeleteProcessorVersionRequest): + The request object. Request message for the + [DeleteProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.DeleteProcessorVersion] + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'delete', + 'uri': '/v1/{name=projects/*/locations/*/processors/*/processorVersions/*}', + }, + ] + request, metadata = self._interceptor.pre_delete_processor_version(request, metadata) + pb_request = document_processor_service.DeleteProcessorVersionRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = operations_pb2.Operation() + json_format.Parse(response.content, resp, ignore_unknown_fields=True) + resp = self._interceptor.post_delete_processor_version(resp) + return resp + + class _DeployProcessorVersion(DocumentProcessorServiceRestStub): + def __hash__(self): + return hash("DeployProcessorVersion") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_processor_service.DeployProcessorVersionRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> operations_pb2.Operation: + r"""Call the deploy processor version method over HTTP. + + Args: + request (~.document_processor_service.DeployProcessorVersionRequest): + The request object. Request message for the + [DeployProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.DeployProcessorVersion] + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'post', + 'uri': '/v1/{name=projects/*/locations/*/processors/*/processorVersions/*}:deploy', + 'body': '*', + }, + ] + request, metadata = self._interceptor.pre_deploy_processor_version(request, metadata) + pb_request = document_processor_service.DeployProcessorVersionRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request['body'], + use_integers_for_enums=True + ) + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = operations_pb2.Operation() + json_format.Parse(response.content, resp, ignore_unknown_fields=True) + resp = self._interceptor.post_deploy_processor_version(resp) + return resp + + class _DisableProcessor(DocumentProcessorServiceRestStub): + def __hash__(self): + return hash("DisableProcessor") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_processor_service.DisableProcessorRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> operations_pb2.Operation: + r"""Call the disable processor method over HTTP. + + Args: + request (~.document_processor_service.DisableProcessorRequest): + The request object. Request message for the + [DisableProcessor][google.cloud.documentai.v1.DocumentProcessorService.DisableProcessor] + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'post', + 'uri': '/v1/{name=projects/*/locations/*/processors/*}:disable', + 'body': '*', + }, + ] + request, metadata = self._interceptor.pre_disable_processor(request, metadata) + pb_request = document_processor_service.DisableProcessorRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request['body'], + use_integers_for_enums=True + ) + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = operations_pb2.Operation() + json_format.Parse(response.content, resp, ignore_unknown_fields=True) + resp = self._interceptor.post_disable_processor(resp) + return resp + + class _EnableProcessor(DocumentProcessorServiceRestStub): + def __hash__(self): + return hash("EnableProcessor") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_processor_service.EnableProcessorRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> operations_pb2.Operation: + r"""Call the enable processor method over HTTP. + + Args: + request (~.document_processor_service.EnableProcessorRequest): + The request object. Request message for the + [EnableProcessor][google.cloud.documentai.v1.DocumentProcessorService.EnableProcessor] + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'post', + 'uri': '/v1/{name=projects/*/locations/*/processors/*}:enable', + 'body': '*', + }, + ] + request, metadata = self._interceptor.pre_enable_processor(request, metadata) + pb_request = document_processor_service.EnableProcessorRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request['body'], + use_integers_for_enums=True + ) + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = operations_pb2.Operation() + json_format.Parse(response.content, resp, ignore_unknown_fields=True) + resp = self._interceptor.post_enable_processor(resp) + return resp + + class _EvaluateProcessorVersion(DocumentProcessorServiceRestStub): + def __hash__(self): + return hash("EvaluateProcessorVersion") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_processor_service.EvaluateProcessorVersionRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> operations_pb2.Operation: + r"""Call the evaluate processor + version method over HTTP. + + Args: + request (~.document_processor_service.EvaluateProcessorVersionRequest): + The request object. Evaluates the given + [ProcessorVersion][google.cloud.documentai.v1.ProcessorVersion] + against the supplied documents. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'post', + 'uri': '/v1/{processor_version=projects/*/locations/*/processors/*/processorVersions/*}:evaluateProcessorVersion', + 'body': '*', + }, + ] + request, metadata = self._interceptor.pre_evaluate_processor_version(request, metadata) + pb_request = document_processor_service.EvaluateProcessorVersionRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request['body'], + use_integers_for_enums=True + ) + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = operations_pb2.Operation() + json_format.Parse(response.content, resp, ignore_unknown_fields=True) + resp = self._interceptor.post_evaluate_processor_version(resp) + return resp + + class _FetchProcessorTypes(DocumentProcessorServiceRestStub): + def __hash__(self): + return hash("FetchProcessorTypes") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_processor_service.FetchProcessorTypesRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> document_processor_service.FetchProcessorTypesResponse: + r"""Call the fetch processor types method over HTTP. + + Args: + request (~.document_processor_service.FetchProcessorTypesRequest): + The request object. Request message for the + [FetchProcessorTypes][google.cloud.documentai.v1.DocumentProcessorService.FetchProcessorTypes] + method. Some processor types may require the project be + added to an allowlist. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.document_processor_service.FetchProcessorTypesResponse: + Response message for the + [FetchProcessorTypes][google.cloud.documentai.v1.DocumentProcessorService.FetchProcessorTypes] + method. + + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'get', + 'uri': '/v1/{parent=projects/*/locations/*}:fetchProcessorTypes', + }, + ] + request, metadata = self._interceptor.pre_fetch_processor_types(request, metadata) + pb_request = document_processor_service.FetchProcessorTypesRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = document_processor_service.FetchProcessorTypesResponse() + pb_resp = document_processor_service.FetchProcessorTypesResponse.pb(resp) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + resp = self._interceptor.post_fetch_processor_types(resp) + return resp + + class _GetEvaluation(DocumentProcessorServiceRestStub): + def __hash__(self): + return hash("GetEvaluation") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_processor_service.GetEvaluationRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> evaluation.Evaluation: + r"""Call the get evaluation method over HTTP. + + Args: + request (~.document_processor_service.GetEvaluationRequest): + The request object. Retrieves a specific Evaluation. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.evaluation.Evaluation: + An evaluation of a ProcessorVersion's + performance. + + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'get', + 'uri': '/v1/{name=projects/*/locations/*/processors/*/processorVersions/*/evaluations/*}', + }, + ] + request, metadata = self._interceptor.pre_get_evaluation(request, metadata) + pb_request = document_processor_service.GetEvaluationRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = evaluation.Evaluation() + pb_resp = evaluation.Evaluation.pb(resp) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + resp = self._interceptor.post_get_evaluation(resp) + return resp + + class _GetProcessor(DocumentProcessorServiceRestStub): + def __hash__(self): + return hash("GetProcessor") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_processor_service.GetProcessorRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> processor.Processor: + r"""Call the get processor method over HTTP. + + Args: + request (~.document_processor_service.GetProcessorRequest): + The request object. Request message for the + [GetProcessor][google.cloud.documentai.v1.DocumentProcessorService.GetProcessor] + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.processor.Processor: + The first-class citizen for Document + AI. Each processor defines how to + extract structural information from a + document. + + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'get', + 'uri': '/v1/{name=projects/*/locations/*/processors/*}', + }, + ] + request, metadata = self._interceptor.pre_get_processor(request, metadata) + pb_request = document_processor_service.GetProcessorRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = processor.Processor() + pb_resp = processor.Processor.pb(resp) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + resp = self._interceptor.post_get_processor(resp) + return resp + + class _GetProcessorType(DocumentProcessorServiceRestStub): + def __hash__(self): + return hash("GetProcessorType") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_processor_service.GetProcessorTypeRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> processor_type.ProcessorType: + r"""Call the get processor type method over HTTP. + + Args: + request (~.document_processor_service.GetProcessorTypeRequest): + The request object. Request message for the + [GetProcessorType][google.cloud.documentai.v1.DocumentProcessorService.GetProcessorType] + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.processor_type.ProcessorType: + A processor type is responsible for + performing a certain document + understanding task on a certain type of + document. + + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'get', + 'uri': '/v1/{name=projects/*/locations/*/processorTypes/*}', + }, + ] + request, metadata = self._interceptor.pre_get_processor_type(request, metadata) + pb_request = document_processor_service.GetProcessorTypeRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = processor_type.ProcessorType() + pb_resp = processor_type.ProcessorType.pb(resp) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + resp = self._interceptor.post_get_processor_type(resp) + return resp + + class _GetProcessorVersion(DocumentProcessorServiceRestStub): + def __hash__(self): + return hash("GetProcessorVersion") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_processor_service.GetProcessorVersionRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> processor.ProcessorVersion: + r"""Call the get processor version method over HTTP. + + Args: + request (~.document_processor_service.GetProcessorVersionRequest): + The request object. Request message for the + [GetProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.GetProcessorVersion] + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.processor.ProcessorVersion: + A processor version is an + implementation of a processor. Each + processor can have multiple versions, + pretrained by Google internally or + uptrained by the customer. A processor + can only have one default version at a + time. Its document-processing behavior + is defined by that version. + + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'get', + 'uri': '/v1/{name=projects/*/locations/*/processors/*/processorVersions/*}', + }, + ] + request, metadata = self._interceptor.pre_get_processor_version(request, metadata) + pb_request = document_processor_service.GetProcessorVersionRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = processor.ProcessorVersion() + pb_resp = processor.ProcessorVersion.pb(resp) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + resp = self._interceptor.post_get_processor_version(resp) + return resp + + class _ListEvaluations(DocumentProcessorServiceRestStub): + def __hash__(self): + return hash("ListEvaluations") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_processor_service.ListEvaluationsRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> document_processor_service.ListEvaluationsResponse: + r"""Call the list evaluations method over HTTP. + + Args: + request (~.document_processor_service.ListEvaluationsRequest): + The request object. Retrieves a list of evaluations for a given + [ProcessorVersion][google.cloud.documentai.v1.ProcessorVersion]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.document_processor_service.ListEvaluationsResponse: + The response from ``ListEvaluations``. + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'get', + 'uri': '/v1/{parent=projects/*/locations/*/processors/*/processorVersions/*}/evaluations', + }, + ] + request, metadata = self._interceptor.pre_list_evaluations(request, metadata) + pb_request = document_processor_service.ListEvaluationsRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = document_processor_service.ListEvaluationsResponse() + pb_resp = document_processor_service.ListEvaluationsResponse.pb(resp) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + resp = self._interceptor.post_list_evaluations(resp) + return resp + + class _ListProcessors(DocumentProcessorServiceRestStub): + def __hash__(self): + return hash("ListProcessors") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_processor_service.ListProcessorsRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> document_processor_service.ListProcessorsResponse: + r"""Call the list processors method over HTTP. + + Args: + request (~.document_processor_service.ListProcessorsRequest): + The request object. Request message for list all + processors belongs to a project. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.document_processor_service.ListProcessorsResponse: + Response message for the + [ListProcessors][google.cloud.documentai.v1.DocumentProcessorService.ListProcessors] + method. + + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'get', + 'uri': '/v1/{parent=projects/*/locations/*}/processors', + }, + ] + request, metadata = self._interceptor.pre_list_processors(request, metadata) + pb_request = document_processor_service.ListProcessorsRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = document_processor_service.ListProcessorsResponse() + pb_resp = document_processor_service.ListProcessorsResponse.pb(resp) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + resp = self._interceptor.post_list_processors(resp) + return resp + + class _ListProcessorTypes(DocumentProcessorServiceRestStub): + def __hash__(self): + return hash("ListProcessorTypes") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_processor_service.ListProcessorTypesRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> document_processor_service.ListProcessorTypesResponse: + r"""Call the list processor types method over HTTP. + + Args: + request (~.document_processor_service.ListProcessorTypesRequest): + The request object. Request message for the + [ListProcessorTypes][google.cloud.documentai.v1.DocumentProcessorService.ListProcessorTypes] + method. Some processor types may require the project be + added to an allowlist. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.document_processor_service.ListProcessorTypesResponse: + Response message for the + [ListProcessorTypes][google.cloud.documentai.v1.DocumentProcessorService.ListProcessorTypes] + method. + + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'get', + 'uri': '/v1/{parent=projects/*/locations/*}/processorTypes', + }, + ] + request, metadata = self._interceptor.pre_list_processor_types(request, metadata) + pb_request = document_processor_service.ListProcessorTypesRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = document_processor_service.ListProcessorTypesResponse() + pb_resp = document_processor_service.ListProcessorTypesResponse.pb(resp) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + resp = self._interceptor.post_list_processor_types(resp) + return resp + + class _ListProcessorVersions(DocumentProcessorServiceRestStub): + def __hash__(self): + return hash("ListProcessorVersions") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_processor_service.ListProcessorVersionsRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> document_processor_service.ListProcessorVersionsResponse: + r"""Call the list processor versions method over HTTP. + + Args: + request (~.document_processor_service.ListProcessorVersionsRequest): + The request object. Request message for list all + processor versions belongs to a + processor. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.document_processor_service.ListProcessorVersionsResponse: + Response message for the + [ListProcessorVersions][google.cloud.documentai.v1.DocumentProcessorService.ListProcessorVersions] + method. + + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'get', + 'uri': '/v1/{parent=projects/*/locations/*/processors/*}/processorVersions', + }, + ] + request, metadata = self._interceptor.pre_list_processor_versions(request, metadata) + pb_request = document_processor_service.ListProcessorVersionsRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = document_processor_service.ListProcessorVersionsResponse() + pb_resp = document_processor_service.ListProcessorVersionsResponse.pb(resp) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + resp = self._interceptor.post_list_processor_versions(resp) + return resp + + class _ProcessDocument(DocumentProcessorServiceRestStub): + def __hash__(self): + return hash("ProcessDocument") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_processor_service.ProcessRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> document_processor_service.ProcessResponse: + r"""Call the process document method over HTTP. + + Args: + request (~.document_processor_service.ProcessRequest): + The request object. Request message for the + [ProcessDocument][google.cloud.documentai.v1.DocumentProcessorService.ProcessDocument] + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.document_processor_service.ProcessResponse: + Response message for the + [ProcessDocument][google.cloud.documentai.v1.DocumentProcessorService.ProcessDocument] + method. + + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'post', + 'uri': '/v1/{name=projects/*/locations/*/processors/*}:process', + 'body': '*', + }, +{ + 'method': 'post', + 'uri': '/v1/{name=projects/*/locations/*/processors/*/processorVersions/*}:process', + 'body': '*', + }, + ] + request, metadata = self._interceptor.pre_process_document(request, metadata) + pb_request = document_processor_service.ProcessRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request['body'], + use_integers_for_enums=True + ) + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = document_processor_service.ProcessResponse() + pb_resp = document_processor_service.ProcessResponse.pb(resp) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + resp = self._interceptor.post_process_document(resp) + return resp + + class _ReviewDocument(DocumentProcessorServiceRestStub): + def __hash__(self): + return hash("ReviewDocument") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_processor_service.ReviewDocumentRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> operations_pb2.Operation: + r"""Call the review document method over HTTP. + + Args: + request (~.document_processor_service.ReviewDocumentRequest): + The request object. Request message for the + [ReviewDocument][google.cloud.documentai.v1.DocumentProcessorService.ReviewDocument] + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'post', + 'uri': '/v1/{human_review_config=projects/*/locations/*/processors/*/humanReviewConfig}:reviewDocument', + 'body': '*', + }, + ] + request, metadata = self._interceptor.pre_review_document(request, metadata) + pb_request = document_processor_service.ReviewDocumentRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request['body'], + use_integers_for_enums=True + ) + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = operations_pb2.Operation() + json_format.Parse(response.content, resp, ignore_unknown_fields=True) + resp = self._interceptor.post_review_document(resp) + return resp + + class _SetDefaultProcessorVersion(DocumentProcessorServiceRestStub): + def __hash__(self): + return hash("SetDefaultProcessorVersion") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_processor_service.SetDefaultProcessorVersionRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> operations_pb2.Operation: + r"""Call the set default processor + version method over HTTP. + + Args: + request (~.document_processor_service.SetDefaultProcessorVersionRequest): + The request object. Request message for the + [SetDefaultProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.SetDefaultProcessorVersion] + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'post', + 'uri': '/v1/{processor=projects/*/locations/*/processors/*}:setDefaultProcessorVersion', + 'body': '*', + }, + ] + request, metadata = self._interceptor.pre_set_default_processor_version(request, metadata) + pb_request = document_processor_service.SetDefaultProcessorVersionRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request['body'], + use_integers_for_enums=True + ) + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = operations_pb2.Operation() + json_format.Parse(response.content, resp, ignore_unknown_fields=True) + resp = self._interceptor.post_set_default_processor_version(resp) + return resp + + class _TrainProcessorVersion(DocumentProcessorServiceRestStub): + def __hash__(self): + return hash("TrainProcessorVersion") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_processor_service.TrainProcessorVersionRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> operations_pb2.Operation: + r"""Call the train processor version method over HTTP. + + Args: + request (~.document_processor_service.TrainProcessorVersionRequest): + The request object. Request message for the + [TrainProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.TrainProcessorVersion] + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'post', + 'uri': '/v1/{parent=projects/*/locations/*/processors/*}/processorVersions:train', + 'body': '*', + }, + ] + request, metadata = self._interceptor.pre_train_processor_version(request, metadata) + pb_request = document_processor_service.TrainProcessorVersionRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request['body'], + use_integers_for_enums=True + ) + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = operations_pb2.Operation() + json_format.Parse(response.content, resp, ignore_unknown_fields=True) + resp = self._interceptor.post_train_processor_version(resp) + return resp + + class _UndeployProcessorVersion(DocumentProcessorServiceRestStub): + def __hash__(self): + return hash("UndeployProcessorVersion") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_processor_service.UndeployProcessorVersionRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> operations_pb2.Operation: + r"""Call the undeploy processor + version method over HTTP. + + Args: + request (~.document_processor_service.UndeployProcessorVersionRequest): + The request object. Request message for the + [UndeployProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.UndeployProcessorVersion] + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'post', + 'uri': '/v1/{name=projects/*/locations/*/processors/*/processorVersions/*}:undeploy', + 'body': '*', + }, + ] + request, metadata = self._interceptor.pre_undeploy_processor_version(request, metadata) + pb_request = document_processor_service.UndeployProcessorVersionRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request['body'], + use_integers_for_enums=True + ) + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = operations_pb2.Operation() + json_format.Parse(response.content, resp, ignore_unknown_fields=True) + resp = self._interceptor.post_undeploy_processor_version(resp) + return resp + + @property + def batch_process_documents(self) -> Callable[ + [document_processor_service.BatchProcessRequest], + operations_pb2.Operation]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._BatchProcessDocuments(self._session, self._host, self._interceptor) # type: ignore + + @property + def create_processor(self) -> Callable[ + [document_processor_service.CreateProcessorRequest], + gcd_processor.Processor]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._CreateProcessor(self._session, self._host, self._interceptor) # type: ignore + + @property + def delete_processor(self) -> Callable[ + [document_processor_service.DeleteProcessorRequest], + operations_pb2.Operation]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._DeleteProcessor(self._session, self._host, self._interceptor) # type: ignore + + @property + def delete_processor_version(self) -> Callable[ + [document_processor_service.DeleteProcessorVersionRequest], + operations_pb2.Operation]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._DeleteProcessorVersion(self._session, self._host, self._interceptor) # type: ignore + + @property + def deploy_processor_version(self) -> Callable[ + [document_processor_service.DeployProcessorVersionRequest], + operations_pb2.Operation]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._DeployProcessorVersion(self._session, self._host, self._interceptor) # type: ignore + + @property + def disable_processor(self) -> Callable[ + [document_processor_service.DisableProcessorRequest], + operations_pb2.Operation]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._DisableProcessor(self._session, self._host, self._interceptor) # type: ignore + + @property + def enable_processor(self) -> Callable[ + [document_processor_service.EnableProcessorRequest], + operations_pb2.Operation]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._EnableProcessor(self._session, self._host, self._interceptor) # type: ignore + + @property + def evaluate_processor_version(self) -> Callable[ + [document_processor_service.EvaluateProcessorVersionRequest], + operations_pb2.Operation]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._EvaluateProcessorVersion(self._session, self._host, self._interceptor) # type: ignore + + @property + def fetch_processor_types(self) -> Callable[ + [document_processor_service.FetchProcessorTypesRequest], + document_processor_service.FetchProcessorTypesResponse]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._FetchProcessorTypes(self._session, self._host, self._interceptor) # type: ignore + + @property + def get_evaluation(self) -> Callable[ + [document_processor_service.GetEvaluationRequest], + evaluation.Evaluation]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._GetEvaluation(self._session, self._host, self._interceptor) # type: ignore + + @property + def get_processor(self) -> Callable[ + [document_processor_service.GetProcessorRequest], + processor.Processor]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._GetProcessor(self._session, self._host, self._interceptor) # type: ignore + + @property + def get_processor_type(self) -> Callable[ + [document_processor_service.GetProcessorTypeRequest], + processor_type.ProcessorType]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._GetProcessorType(self._session, self._host, self._interceptor) # type: ignore + + @property + def get_processor_version(self) -> Callable[ + [document_processor_service.GetProcessorVersionRequest], + processor.ProcessorVersion]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._GetProcessorVersion(self._session, self._host, self._interceptor) # type: ignore + + @property + def list_evaluations(self) -> Callable[ + [document_processor_service.ListEvaluationsRequest], + document_processor_service.ListEvaluationsResponse]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._ListEvaluations(self._session, self._host, self._interceptor) # type: ignore + + @property + def list_processors(self) -> Callable[ + [document_processor_service.ListProcessorsRequest], + document_processor_service.ListProcessorsResponse]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._ListProcessors(self._session, self._host, self._interceptor) # type: ignore + + @property + def list_processor_types(self) -> Callable[ + [document_processor_service.ListProcessorTypesRequest], + document_processor_service.ListProcessorTypesResponse]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._ListProcessorTypes(self._session, self._host, self._interceptor) # type: ignore + + @property + def list_processor_versions(self) -> Callable[ + [document_processor_service.ListProcessorVersionsRequest], + document_processor_service.ListProcessorVersionsResponse]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._ListProcessorVersions(self._session, self._host, self._interceptor) # type: ignore + + @property + def process_document(self) -> Callable[ + [document_processor_service.ProcessRequest], + document_processor_service.ProcessResponse]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._ProcessDocument(self._session, self._host, self._interceptor) # type: ignore + + @property + def review_document(self) -> Callable[ + [document_processor_service.ReviewDocumentRequest], + operations_pb2.Operation]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._ReviewDocument(self._session, self._host, self._interceptor) # type: ignore + + @property + def set_default_processor_version(self) -> Callable[ + [document_processor_service.SetDefaultProcessorVersionRequest], + operations_pb2.Operation]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._SetDefaultProcessorVersion(self._session, self._host, self._interceptor) # type: ignore + + @property + def train_processor_version(self) -> Callable[ + [document_processor_service.TrainProcessorVersionRequest], + operations_pb2.Operation]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._TrainProcessorVersion(self._session, self._host, self._interceptor) # type: ignore + + @property + def undeploy_processor_version(self) -> Callable[ + [document_processor_service.UndeployProcessorVersionRequest], + operations_pb2.Operation]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._UndeployProcessorVersion(self._session, self._host, self._interceptor) # type: ignore + + @property + def get_location(self): + return self._GetLocation(self._session, self._host, self._interceptor) # type: ignore + + class _GetLocation(DocumentProcessorServiceRestStub): + def __call__(self, + request: locations_pb2.GetLocationRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> locations_pb2.Location: + + r"""Call the get location method over HTTP. + + Args: + request (locations_pb2.GetLocationRequest): + The request object for GetLocation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + locations_pb2.Location: Response from GetLocation method. + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'get', + 'uri': '/v1/{name=projects/*/locations/*}', + }, +{ + 'method': 'get', + 'uri': '/uiv1beta3/{name=projects/*/locations/*}', + }, + ] + + request, metadata = self._interceptor.pre_get_location(request, metadata) + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode( + http_options, **request_kwargs) + + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json.dumps(transcoded_request['query_params'])) + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params), + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + resp = locations_pb2.Location() + resp = json_format.Parse(response.content.decode("utf-8"), resp) + resp = self._interceptor.post_get_location(resp) + return resp + + @property + def list_locations(self): + return self._ListLocations(self._session, self._host, self._interceptor) # type: ignore + + class _ListLocations(DocumentProcessorServiceRestStub): + def __call__(self, + request: locations_pb2.ListLocationsRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> locations_pb2.ListLocationsResponse: + + r"""Call the list locations method over HTTP. + + Args: + request (locations_pb2.ListLocationsRequest): + The request object for ListLocations method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + locations_pb2.ListLocationsResponse: Response from ListLocations method. + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'get', + 'uri': '/v1/{name=projects/*}/locations', + }, +{ + 'method': 'get', + 'uri': '/uiv1beta3/{name=projects/*}/locations', + }, + ] + + request, metadata = self._interceptor.pre_list_locations(request, metadata) + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode( + http_options, **request_kwargs) + + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json.dumps(transcoded_request['query_params'])) + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params), + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + resp = locations_pb2.ListLocationsResponse() + resp = json_format.Parse(response.content.decode("utf-8"), resp) + resp = self._interceptor.post_list_locations(resp) + return resp + + @property + def cancel_operation(self): + return self._CancelOperation(self._session, self._host, self._interceptor) # type: ignore + + class _CancelOperation(DocumentProcessorServiceRestStub): + def __call__(self, + request: operations_pb2.CancelOperationRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> None: + + r"""Call the cancel operation method over HTTP. + + Args: + request (operations_pb2.CancelOperationRequest): + The request object for CancelOperation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'post', + 'uri': '/v1/{name=projects/*/locations/*/operations/*}:cancel', + }, +{ + 'method': 'post', + 'uri': '/uiv1beta3/{name=projects/*/locations/*/operations/*}:cancel', + }, + ] + + request, metadata = self._interceptor.pre_cancel_operation(request, metadata) + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode( + http_options, **request_kwargs) + + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json.dumps(transcoded_request['query_params'])) + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params), + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + return self._interceptor.post_cancel_operation(None) + + @property + def get_operation(self): + return self._GetOperation(self._session, self._host, self._interceptor) # type: ignore + + class _GetOperation(DocumentProcessorServiceRestStub): + def __call__(self, + request: operations_pb2.GetOperationRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> operations_pb2.Operation: + + r"""Call the get operation method over HTTP. + + Args: + request (operations_pb2.GetOperationRequest): + The request object for GetOperation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + operations_pb2.Operation: Response from GetOperation method. + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'get', + 'uri': '/v1/{name=projects/*/operations/*}', + }, +{ + 'method': 'get', + 'uri': '/v1/{name=projects/*/locations/*/operations/*}', + }, +{ + 'method': 'get', + 'uri': '/uiv1beta3/{name=projects/*/locations/*/operations/*}', + }, + ] + + request, metadata = self._interceptor.pre_get_operation(request, metadata) + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode( + http_options, **request_kwargs) + + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json.dumps(transcoded_request['query_params'])) + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params), + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + resp = operations_pb2.Operation() + resp = json_format.Parse(response.content.decode("utf-8"), resp) + resp = self._interceptor.post_get_operation(resp) + return resp + + @property + def list_operations(self): + return self._ListOperations(self._session, self._host, self._interceptor) # type: ignore + + class _ListOperations(DocumentProcessorServiceRestStub): + def __call__(self, + request: operations_pb2.ListOperationsRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> operations_pb2.ListOperationsResponse: + + r"""Call the list operations method over HTTP. + + Args: + request (operations_pb2.ListOperationsRequest): + The request object for ListOperations method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + operations_pb2.ListOperationsResponse: Response from ListOperations method. + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'get', + 'uri': '/v1/{name=projects/*/locations/*/operations}', + }, +{ + 'method': 'get', + 'uri': '/uiv1beta3/{name=projects/*/locations/*/operations}', + }, + ] + + request, metadata = self._interceptor.pre_list_operations(request, metadata) + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode( + http_options, **request_kwargs) + + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json.dumps(transcoded_request['query_params'])) + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params), + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + resp = operations_pb2.ListOperationsResponse() + resp = json_format.Parse(response.content.decode("utf-8"), resp) + resp = self._interceptor.post_list_operations(resp) + return resp + + @property + def kind(self) -> str: + return "rest" + + def close(self): + self._session.close() + + +__all__=( + 'DocumentProcessorServiceRestTransport', +) diff --git a/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/types/__init__.py b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/types/__init__.py new file mode 100644 index 000000000000..e31c468157ee --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/types/__init__.py @@ -0,0 +1,178 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from .barcode import ( + Barcode, +) +from .document import ( + Document, +) +from .document_io import ( + BatchDocumentsInputConfig, + DocumentOutputConfig, + GcsDocument, + GcsDocuments, + GcsPrefix, + OcrConfig, + RawDocument, +) +from .document_processor_service import ( + BatchProcessMetadata, + BatchProcessRequest, + BatchProcessResponse, + CreateProcessorRequest, + DeleteProcessorMetadata, + DeleteProcessorRequest, + DeleteProcessorVersionMetadata, + DeleteProcessorVersionRequest, + DeployProcessorVersionMetadata, + DeployProcessorVersionRequest, + DeployProcessorVersionResponse, + DisableProcessorMetadata, + DisableProcessorRequest, + DisableProcessorResponse, + EnableProcessorMetadata, + EnableProcessorRequest, + EnableProcessorResponse, + EvaluateProcessorVersionMetadata, + EvaluateProcessorVersionRequest, + EvaluateProcessorVersionResponse, + FetchProcessorTypesRequest, + FetchProcessorTypesResponse, + GetEvaluationRequest, + GetProcessorRequest, + GetProcessorTypeRequest, + GetProcessorVersionRequest, + HumanReviewStatus, + ListEvaluationsRequest, + ListEvaluationsResponse, + ListProcessorsRequest, + ListProcessorsResponse, + ListProcessorTypesRequest, + ListProcessorTypesResponse, + ListProcessorVersionsRequest, + ListProcessorVersionsResponse, + ProcessOptions, + ProcessRequest, + ProcessResponse, + ReviewDocumentOperationMetadata, + ReviewDocumentRequest, + ReviewDocumentResponse, + SetDefaultProcessorVersionMetadata, + SetDefaultProcessorVersionRequest, + SetDefaultProcessorVersionResponse, + TrainProcessorVersionMetadata, + TrainProcessorVersionRequest, + TrainProcessorVersionResponse, + UndeployProcessorVersionMetadata, + UndeployProcessorVersionRequest, + UndeployProcessorVersionResponse, +) +from .document_schema import ( + DocumentSchema, +) +from .evaluation import ( + Evaluation, + EvaluationReference, +) +from .geometry import ( + BoundingPoly, + NormalizedVertex, + Vertex, +) +from .operation_metadata import ( + CommonOperationMetadata, +) +from .processor import ( + Processor, + ProcessorVersion, + ProcessorVersionAlias, +) +from .processor_type import ( + ProcessorType, +) + +__all__ = ( + 'Barcode', + 'Document', + 'BatchDocumentsInputConfig', + 'DocumentOutputConfig', + 'GcsDocument', + 'GcsDocuments', + 'GcsPrefix', + 'OcrConfig', + 'RawDocument', + 'BatchProcessMetadata', + 'BatchProcessRequest', + 'BatchProcessResponse', + 'CreateProcessorRequest', + 'DeleteProcessorMetadata', + 'DeleteProcessorRequest', + 'DeleteProcessorVersionMetadata', + 'DeleteProcessorVersionRequest', + 'DeployProcessorVersionMetadata', + 'DeployProcessorVersionRequest', + 'DeployProcessorVersionResponse', + 'DisableProcessorMetadata', + 'DisableProcessorRequest', + 'DisableProcessorResponse', + 'EnableProcessorMetadata', + 'EnableProcessorRequest', + 'EnableProcessorResponse', + 'EvaluateProcessorVersionMetadata', + 'EvaluateProcessorVersionRequest', + 'EvaluateProcessorVersionResponse', + 'FetchProcessorTypesRequest', + 'FetchProcessorTypesResponse', + 'GetEvaluationRequest', + 'GetProcessorRequest', + 'GetProcessorTypeRequest', + 'GetProcessorVersionRequest', + 'HumanReviewStatus', + 'ListEvaluationsRequest', + 'ListEvaluationsResponse', + 'ListProcessorsRequest', + 'ListProcessorsResponse', + 'ListProcessorTypesRequest', + 'ListProcessorTypesResponse', + 'ListProcessorVersionsRequest', + 'ListProcessorVersionsResponse', + 'ProcessOptions', + 'ProcessRequest', + 'ProcessResponse', + 'ReviewDocumentOperationMetadata', + 'ReviewDocumentRequest', + 'ReviewDocumentResponse', + 'SetDefaultProcessorVersionMetadata', + 'SetDefaultProcessorVersionRequest', + 'SetDefaultProcessorVersionResponse', + 'TrainProcessorVersionMetadata', + 'TrainProcessorVersionRequest', + 'TrainProcessorVersionResponse', + 'UndeployProcessorVersionMetadata', + 'UndeployProcessorVersionRequest', + 'UndeployProcessorVersionResponse', + 'DocumentSchema', + 'Evaluation', + 'EvaluationReference', + 'BoundingPoly', + 'NormalizedVertex', + 'Vertex', + 'CommonOperationMetadata', + 'Processor', + 'ProcessorVersion', + 'ProcessorVersionAlias', + 'ProcessorType', +) diff --git a/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/types/barcode.py b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/types/barcode.py new file mode 100644 index 000000000000..a686695affc5 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/types/barcode.py @@ -0,0 +1,87 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from __future__ import annotations + +from typing import MutableMapping, MutableSequence + +import proto # type: ignore + + +__protobuf__ = proto.module( + package='google.cloud.documentai.v1', + manifest={ + 'Barcode', + }, +) + + +class Barcode(proto.Message): + r"""Encodes the detailed information of a barcode. + + Attributes: + format_ (str): + Format of a barcode. The supported formats are: + + - ``CODE_128``: Code 128 type. + - ``CODE_39``: Code 39 type. + - ``CODE_93``: Code 93 type. + - ``CODABAR``: Codabar type. + - ``DATA_MATRIX``: 2D Data Matrix type. + - ``ITF``: ITF type. + - ``EAN_13``: EAN-13 type. + - ``EAN_8``: EAN-8 type. + - ``QR_CODE``: 2D QR code type. + - ``UPC_A``: UPC-A type. + - ``UPC_E``: UPC-E type. + - ``PDF417``: PDF417 type. + - ``AZTEC``: 2D Aztec code type. + - ``DATABAR``: GS1 DataBar code type. + value_format (str): + Value format describes the format of the value that a + barcode encodes. The supported formats are: + + - ``CONTACT_INFO``: Contact information. + - ``EMAIL``: Email address. + - ``ISBN``: ISBN identifier. + - ``PHONE``: Phone number. + - ``PRODUCT``: Product. + - ``SMS``: SMS message. + - ``TEXT``: Text string. + - ``URL``: URL address. + - ``WIFI``: Wifi information. + - ``GEO``: Geo-localization. + - ``CALENDAR_EVENT``: Calendar event. + - ``DRIVER_LICENSE``: Driver's license. + raw_value (str): + Raw value encoded in the barcode. For example: + ``'MEBKM:TITLE:Google;URL:https://www.google.com;;'``. + """ + + format_: str = proto.Field( + proto.STRING, + number=1, + ) + value_format: str = proto.Field( + proto.STRING, + number=2, + ) + raw_value: str = proto.Field( + proto.STRING, + number=3, + ) + + +__all__ = tuple(sorted(__protobuf__.manifest)) diff --git a/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/types/document.py b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/types/document.py new file mode 100644 index 000000000000..adc56558a519 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/types/document.py @@ -0,0 +1,1830 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from __future__ import annotations + +from typing import MutableMapping, MutableSequence + +import proto # type: ignore + +from google.cloud.documentai_v1.types import barcode as gcd_barcode +from google.cloud.documentai_v1.types import geometry +from google.protobuf import timestamp_pb2 # type: ignore +from google.rpc import status_pb2 # type: ignore +from google.type import color_pb2 # type: ignore +from google.type import date_pb2 # type: ignore +from google.type import datetime_pb2 # type: ignore +from google.type import money_pb2 # type: ignore +from google.type import postal_address_pb2 # type: ignore + + +__protobuf__ = proto.module( + package='google.cloud.documentai.v1', + manifest={ + 'Document', + }, +) + + +class Document(proto.Message): + r"""Document represents the canonical document resource in + Document AI. It is an interchange format that provides insights + into documents and allows for collaboration between users and + Document AI to iterate and optimize for quality. + + This message has `oneof`_ fields (mutually exclusive fields). + For each oneof, at most one member field can be set at the same time. + Setting any member of the oneof automatically clears all other + members. + + .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields + + Attributes: + uri (str): + Optional. Currently supports Google Cloud Storage URI of the + form ``gs://bucket_name/object_name``. Object versioning is + not supported. For more information, refer to `Google Cloud + Storage Request + URIs `__. + + This field is a member of `oneof`_ ``source``. + content (bytes): + Optional. Inline document content, represented as a stream + of bytes. Note: As with all ``bytes`` fields, protobuffers + use a pure binary representation, whereas JSON + representations use base64. + + This field is a member of `oneof`_ ``source``. + mime_type (str): + An IANA published `media type (MIME + type) `__. + text (str): + Optional. UTF-8 encoded text in reading order + from the document. + text_styles (MutableSequence[google.cloud.documentai_v1.types.Document.Style]): + Styles for the + [Document.text][google.cloud.documentai.v1.Document.text]. + pages (MutableSequence[google.cloud.documentai_v1.types.Document.Page]): + Visual page layout for the + [Document][google.cloud.documentai.v1.Document]. + entities (MutableSequence[google.cloud.documentai_v1.types.Document.Entity]): + A list of entities detected on + [Document.text][google.cloud.documentai.v1.Document.text]. + For document shards, entities in this list may cross shard + boundaries. + entity_relations (MutableSequence[google.cloud.documentai_v1.types.Document.EntityRelation]): + Placeholder. Relationship among + [Document.entities][google.cloud.documentai.v1.Document.entities]. + text_changes (MutableSequence[google.cloud.documentai_v1.types.Document.TextChange]): + Placeholder. A list of text corrections made to + [Document.text][google.cloud.documentai.v1.Document.text]. + This is usually used for annotating corrections to OCR + mistakes. Text changes for a given revision may not overlap + with each other. + shard_info (google.cloud.documentai_v1.types.Document.ShardInfo): + Information about the sharding if this + document is sharded part of a larger document. + If the document is not sharded, this message is + not specified. + error (google.rpc.status_pb2.Status): + Any error that occurred while processing this + document. + revisions (MutableSequence[google.cloud.documentai_v1.types.Document.Revision]): + Placeholder. Revision history of this + document. + """ + + class ShardInfo(proto.Message): + r"""For a large document, sharding may be performed to produce + several document shards. Each document shard contains this field + to detail which shard it is. + + Attributes: + shard_index (int): + The 0-based index of this shard. + shard_count (int): + Total number of shards. + text_offset (int): + The index of the first character in + [Document.text][google.cloud.documentai.v1.Document.text] in + the overall document global text. + """ + + shard_index: int = proto.Field( + proto.INT64, + number=1, + ) + shard_count: int = proto.Field( + proto.INT64, + number=2, + ) + text_offset: int = proto.Field( + proto.INT64, + number=3, + ) + + class Style(proto.Message): + r"""Annotation for common text style attributes. This adheres to + CSS conventions as much as possible. + + Attributes: + text_anchor (google.cloud.documentai_v1.types.Document.TextAnchor): + Text anchor indexing into the + [Document.text][google.cloud.documentai.v1.Document.text]. + color (google.type.color_pb2.Color): + Text color. + background_color (google.type.color_pb2.Color): + Text background color. + font_weight (str): + `Font + weight `__. + Possible values are ``normal``, ``bold``, ``bolder``, and + ``lighter``. + text_style (str): + `Text + style `__. + Possible values are ``normal``, ``italic``, and ``oblique``. + text_decoration (str): + `Text + decoration `__. + Follows CSS standard. + font_size (google.cloud.documentai_v1.types.Document.Style.FontSize): + Font size. + font_family (str): + Font family such as ``Arial``, ``Times New Roman``. + https://www.w3schools.com/cssref/pr_font_font-family.asp + """ + + class FontSize(proto.Message): + r"""Font size with unit. + + Attributes: + size (float): + Font size for the text. + unit (str): + Unit for the font size. Follows CSS naming (such as ``in``, + ``px``, and ``pt``). + """ + + size: float = proto.Field( + proto.FLOAT, + number=1, + ) + unit: str = proto.Field( + proto.STRING, + number=2, + ) + + text_anchor: 'Document.TextAnchor' = proto.Field( + proto.MESSAGE, + number=1, + message='Document.TextAnchor', + ) + color: color_pb2.Color = proto.Field( + proto.MESSAGE, + number=2, + message=color_pb2.Color, + ) + background_color: color_pb2.Color = proto.Field( + proto.MESSAGE, + number=3, + message=color_pb2.Color, + ) + font_weight: str = proto.Field( + proto.STRING, + number=4, + ) + text_style: str = proto.Field( + proto.STRING, + number=5, + ) + text_decoration: str = proto.Field( + proto.STRING, + number=6, + ) + font_size: 'Document.Style.FontSize' = proto.Field( + proto.MESSAGE, + number=7, + message='Document.Style.FontSize', + ) + font_family: str = proto.Field( + proto.STRING, + number=8, + ) + + class Page(proto.Message): + r"""A page in a [Document][google.cloud.documentai.v1.Document]. + + Attributes: + page_number (int): + 1-based index for current + [Page][google.cloud.documentai.v1.Document.Page] in a parent + [Document][google.cloud.documentai.v1.Document]. Useful when + a page is taken out of a + [Document][google.cloud.documentai.v1.Document] for + individual processing. + image (google.cloud.documentai_v1.types.Document.Page.Image): + Rendered image for this page. This image is + preprocessed to remove any skew, rotation, and + distortions such that the annotation bounding + boxes can be upright and axis-aligned. + transforms (MutableSequence[google.cloud.documentai_v1.types.Document.Page.Matrix]): + Transformation matrices that were applied to the original + document image to produce + [Page.image][google.cloud.documentai.v1.Document.Page.image]. + dimension (google.cloud.documentai_v1.types.Document.Page.Dimension): + Physical dimension of the page. + layout (google.cloud.documentai_v1.types.Document.Page.Layout): + [Layout][google.cloud.documentai.v1.Document.Page.Layout] + for the page. + detected_languages (MutableSequence[google.cloud.documentai_v1.types.Document.Page.DetectedLanguage]): + A list of detected languages together with + confidence. + blocks (MutableSequence[google.cloud.documentai_v1.types.Document.Page.Block]): + A list of visually detected text blocks on + the page. A block has a set of lines (collected + into paragraphs) that have a common line-spacing + and orientation. + paragraphs (MutableSequence[google.cloud.documentai_v1.types.Document.Page.Paragraph]): + A list of visually detected text paragraphs + on the page. A collection of lines that a human + would perceive as a paragraph. + lines (MutableSequence[google.cloud.documentai_v1.types.Document.Page.Line]): + A list of visually detected text lines on the + page. A collection of tokens that a human would + perceive as a line. + tokens (MutableSequence[google.cloud.documentai_v1.types.Document.Page.Token]): + A list of visually detected tokens on the + page. + visual_elements (MutableSequence[google.cloud.documentai_v1.types.Document.Page.VisualElement]): + A list of detected non-text visual elements + e.g. checkbox, signature etc. on the page. + tables (MutableSequence[google.cloud.documentai_v1.types.Document.Page.Table]): + A list of visually detected tables on the + page. + form_fields (MutableSequence[google.cloud.documentai_v1.types.Document.Page.FormField]): + A list of visually detected form fields on + the page. + symbols (MutableSequence[google.cloud.documentai_v1.types.Document.Page.Symbol]): + A list of visually detected symbols on the + page. + detected_barcodes (MutableSequence[google.cloud.documentai_v1.types.Document.Page.DetectedBarcode]): + A list of detected barcodes. + image_quality_scores (google.cloud.documentai_v1.types.Document.Page.ImageQualityScores): + Image quality scores. + provenance (google.cloud.documentai_v1.types.Document.Provenance): + The history of this page. + """ + + class Dimension(proto.Message): + r"""Dimension for the page. + + Attributes: + width (float): + Page width. + height (float): + Page height. + unit (str): + Dimension unit. + """ + + width: float = proto.Field( + proto.FLOAT, + number=1, + ) + height: float = proto.Field( + proto.FLOAT, + number=2, + ) + unit: str = proto.Field( + proto.STRING, + number=3, + ) + + class Image(proto.Message): + r"""Rendered image contents for this page. + + Attributes: + content (bytes): + Raw byte content of the image. + mime_type (str): + Encoding `media type (MIME + type) `__ + for the image. + width (int): + Width of the image in pixels. + height (int): + Height of the image in pixels. + """ + + content: bytes = proto.Field( + proto.BYTES, + number=1, + ) + mime_type: str = proto.Field( + proto.STRING, + number=2, + ) + width: int = proto.Field( + proto.INT32, + number=3, + ) + height: int = proto.Field( + proto.INT32, + number=4, + ) + + class Matrix(proto.Message): + r"""Representation for transformation matrix, intended to be + compatible and used with OpenCV format for image manipulation. + + Attributes: + rows (int): + Number of rows in the matrix. + cols (int): + Number of columns in the matrix. + type_ (int): + This encodes information about what data type the matrix + uses. For example, 0 (CV_8U) is an unsigned 8-bit image. For + the full list of OpenCV primitive data types, please refer + to + https://docs.opencv.org/4.3.0/d1/d1b/group__core__hal__interface.html + data (bytes): + The matrix data. + """ + + rows: int = proto.Field( + proto.INT32, + number=1, + ) + cols: int = proto.Field( + proto.INT32, + number=2, + ) + type_: int = proto.Field( + proto.INT32, + number=3, + ) + data: bytes = proto.Field( + proto.BYTES, + number=4, + ) + + class Layout(proto.Message): + r"""Visual element describing a layout unit on a page. + + Attributes: + text_anchor (google.cloud.documentai_v1.types.Document.TextAnchor): + Text anchor indexing into the + [Document.text][google.cloud.documentai.v1.Document.text]. + confidence (float): + Confidence of the current + [Layout][google.cloud.documentai.v1.Document.Page.Layout] + within context of the object this layout is for. e.g. + confidence can be for a single token, a table, a visual + element, etc. depending on context. Range ``[0, 1]``. + bounding_poly (google.cloud.documentai_v1.types.BoundingPoly): + The bounding polygon for the + [Layout][google.cloud.documentai.v1.Document.Page.Layout]. + orientation (google.cloud.documentai_v1.types.Document.Page.Layout.Orientation): + Detected orientation for the + [Layout][google.cloud.documentai.v1.Document.Page.Layout]. + """ + class Orientation(proto.Enum): + r"""Detected human reading orientation. + + Values: + ORIENTATION_UNSPECIFIED (0): + Unspecified orientation. + PAGE_UP (1): + Orientation is aligned with page up. + PAGE_RIGHT (2): + Orientation is aligned with page right. + Turn the head 90 degrees clockwise from upright + to read. + PAGE_DOWN (3): + Orientation is aligned with page down. + Turn the head 180 degrees from upright to read. + PAGE_LEFT (4): + Orientation is aligned with page left. + Turn the head 90 degrees counterclockwise from + upright to read. + """ + ORIENTATION_UNSPECIFIED = 0 + PAGE_UP = 1 + PAGE_RIGHT = 2 + PAGE_DOWN = 3 + PAGE_LEFT = 4 + + text_anchor: 'Document.TextAnchor' = proto.Field( + proto.MESSAGE, + number=1, + message='Document.TextAnchor', + ) + confidence: float = proto.Field( + proto.FLOAT, + number=2, + ) + bounding_poly: geometry.BoundingPoly = proto.Field( + proto.MESSAGE, + number=3, + message=geometry.BoundingPoly, + ) + orientation: 'Document.Page.Layout.Orientation' = proto.Field( + proto.ENUM, + number=4, + enum='Document.Page.Layout.Orientation', + ) + + class Block(proto.Message): + r"""A block has a set of lines (collected into paragraphs) that + have a common line-spacing and orientation. + + Attributes: + layout (google.cloud.documentai_v1.types.Document.Page.Layout): + [Layout][google.cloud.documentai.v1.Document.Page.Layout] + for [Block][google.cloud.documentai.v1.Document.Page.Block]. + detected_languages (MutableSequence[google.cloud.documentai_v1.types.Document.Page.DetectedLanguage]): + A list of detected languages together with + confidence. + provenance (google.cloud.documentai_v1.types.Document.Provenance): + The history of this annotation. + """ + + layout: 'Document.Page.Layout' = proto.Field( + proto.MESSAGE, + number=1, + message='Document.Page.Layout', + ) + detected_languages: MutableSequence['Document.Page.DetectedLanguage'] = proto.RepeatedField( + proto.MESSAGE, + number=2, + message='Document.Page.DetectedLanguage', + ) + provenance: 'Document.Provenance' = proto.Field( + proto.MESSAGE, + number=3, + message='Document.Provenance', + ) + + class Paragraph(proto.Message): + r"""A collection of lines that a human would perceive as a + paragraph. + + Attributes: + layout (google.cloud.documentai_v1.types.Document.Page.Layout): + [Layout][google.cloud.documentai.v1.Document.Page.Layout] + for + [Paragraph][google.cloud.documentai.v1.Document.Page.Paragraph]. + detected_languages (MutableSequence[google.cloud.documentai_v1.types.Document.Page.DetectedLanguage]): + A list of detected languages together with + confidence. + provenance (google.cloud.documentai_v1.types.Document.Provenance): + The history of this annotation. + """ + + layout: 'Document.Page.Layout' = proto.Field( + proto.MESSAGE, + number=1, + message='Document.Page.Layout', + ) + detected_languages: MutableSequence['Document.Page.DetectedLanguage'] = proto.RepeatedField( + proto.MESSAGE, + number=2, + message='Document.Page.DetectedLanguage', + ) + provenance: 'Document.Provenance' = proto.Field( + proto.MESSAGE, + number=3, + message='Document.Provenance', + ) + + class Line(proto.Message): + r"""A collection of tokens that a human would perceive as a line. + Does not cross column boundaries, can be horizontal, vertical, + etc. + + Attributes: + layout (google.cloud.documentai_v1.types.Document.Page.Layout): + [Layout][google.cloud.documentai.v1.Document.Page.Layout] + for [Line][google.cloud.documentai.v1.Document.Page.Line]. + detected_languages (MutableSequence[google.cloud.documentai_v1.types.Document.Page.DetectedLanguage]): + A list of detected languages together with + confidence. + provenance (google.cloud.documentai_v1.types.Document.Provenance): + The history of this annotation. + """ + + layout: 'Document.Page.Layout' = proto.Field( + proto.MESSAGE, + number=1, + message='Document.Page.Layout', + ) + detected_languages: MutableSequence['Document.Page.DetectedLanguage'] = proto.RepeatedField( + proto.MESSAGE, + number=2, + message='Document.Page.DetectedLanguage', + ) + provenance: 'Document.Provenance' = proto.Field( + proto.MESSAGE, + number=3, + message='Document.Provenance', + ) + + class Token(proto.Message): + r"""A detected token. + + Attributes: + layout (google.cloud.documentai_v1.types.Document.Page.Layout): + [Layout][google.cloud.documentai.v1.Document.Page.Layout] + for [Token][google.cloud.documentai.v1.Document.Page.Token]. + detected_break (google.cloud.documentai_v1.types.Document.Page.Token.DetectedBreak): + Detected break at the end of a + [Token][google.cloud.documentai.v1.Document.Page.Token]. + detected_languages (MutableSequence[google.cloud.documentai_v1.types.Document.Page.DetectedLanguage]): + A list of detected languages together with + confidence. + provenance (google.cloud.documentai_v1.types.Document.Provenance): + The history of this annotation. + style_info (google.cloud.documentai_v1.types.Document.Page.Token.StyleInfo): + Text style attributes. + """ + + class DetectedBreak(proto.Message): + r"""Detected break at the end of a + [Token][google.cloud.documentai.v1.Document.Page.Token]. + + Attributes: + type_ (google.cloud.documentai_v1.types.Document.Page.Token.DetectedBreak.Type): + Detected break type. + """ + class Type(proto.Enum): + r"""Enum to denote the type of break found. + + Values: + TYPE_UNSPECIFIED (0): + Unspecified break type. + SPACE (1): + A single whitespace. + WIDE_SPACE (2): + A wider whitespace. + HYPHEN (3): + A hyphen that indicates that a token has been + split across lines. + """ + TYPE_UNSPECIFIED = 0 + SPACE = 1 + WIDE_SPACE = 2 + HYPHEN = 3 + + type_: 'Document.Page.Token.DetectedBreak.Type' = proto.Field( + proto.ENUM, + number=1, + enum='Document.Page.Token.DetectedBreak.Type', + ) + + class StyleInfo(proto.Message): + r"""Font and other text style attributes. + + Attributes: + font_size (int): + Font size in points (``1`` point is ``¹⁄₇₂`` inches). + pixel_font_size (float): + Font size in pixels, equal to *unrounded + [font_size][google.cloud.documentai.v1.Document.Page.Token.StyleInfo.font_size]* + + - *resolution* ÷ ``72.0``. + letter_spacing (float): + Letter spacing in points. + font_type (str): + Name or style of the font. + bold (bool): + Whether the text is bold (equivalent to + [font_weight][google.cloud.documentai.v1.Document.Page.Token.StyleInfo.font_weight] + is at least ``700``). + italic (bool): + Whether the text is italic. + underlined (bool): + Whether the text is underlined. + strikeout (bool): + Whether the text is strikethrough. + subscript (bool): + Whether the text is a subscript. + superscript (bool): + Whether the text is a superscript. + smallcaps (bool): + Whether the text is in small caps. + font_weight (int): + TrueType weight on a scale ``100`` (thin) to ``1000`` + (ultra-heavy). Normal is ``400``, bold is ``700``. + handwritten (bool): + Whether the text is handwritten. + text_color (google.type.color_pb2.Color): + Color of the text. + background_color (google.type.color_pb2.Color): + Color of the background. + """ + + font_size: int = proto.Field( + proto.INT32, + number=1, + ) + pixel_font_size: float = proto.Field( + proto.DOUBLE, + number=2, + ) + letter_spacing: float = proto.Field( + proto.DOUBLE, + number=3, + ) + font_type: str = proto.Field( + proto.STRING, + number=4, + ) + bold: bool = proto.Field( + proto.BOOL, + number=5, + ) + italic: bool = proto.Field( + proto.BOOL, + number=6, + ) + underlined: bool = proto.Field( + proto.BOOL, + number=7, + ) + strikeout: bool = proto.Field( + proto.BOOL, + number=8, + ) + subscript: bool = proto.Field( + proto.BOOL, + number=9, + ) + superscript: bool = proto.Field( + proto.BOOL, + number=10, + ) + smallcaps: bool = proto.Field( + proto.BOOL, + number=11, + ) + font_weight: int = proto.Field( + proto.INT32, + number=12, + ) + handwritten: bool = proto.Field( + proto.BOOL, + number=13, + ) + text_color: color_pb2.Color = proto.Field( + proto.MESSAGE, + number=14, + message=color_pb2.Color, + ) + background_color: color_pb2.Color = proto.Field( + proto.MESSAGE, + number=15, + message=color_pb2.Color, + ) + + layout: 'Document.Page.Layout' = proto.Field( + proto.MESSAGE, + number=1, + message='Document.Page.Layout', + ) + detected_break: 'Document.Page.Token.DetectedBreak' = proto.Field( + proto.MESSAGE, + number=2, + message='Document.Page.Token.DetectedBreak', + ) + detected_languages: MutableSequence['Document.Page.DetectedLanguage'] = proto.RepeatedField( + proto.MESSAGE, + number=3, + message='Document.Page.DetectedLanguage', + ) + provenance: 'Document.Provenance' = proto.Field( + proto.MESSAGE, + number=4, + message='Document.Provenance', + ) + style_info: 'Document.Page.Token.StyleInfo' = proto.Field( + proto.MESSAGE, + number=5, + message='Document.Page.Token.StyleInfo', + ) + + class Symbol(proto.Message): + r"""A detected symbol. + + Attributes: + layout (google.cloud.documentai_v1.types.Document.Page.Layout): + [Layout][google.cloud.documentai.v1.Document.Page.Layout] + for + [Symbol][google.cloud.documentai.v1.Document.Page.Symbol]. + detected_languages (MutableSequence[google.cloud.documentai_v1.types.Document.Page.DetectedLanguage]): + A list of detected languages together with + confidence. + """ + + layout: 'Document.Page.Layout' = proto.Field( + proto.MESSAGE, + number=1, + message='Document.Page.Layout', + ) + detected_languages: MutableSequence['Document.Page.DetectedLanguage'] = proto.RepeatedField( + proto.MESSAGE, + number=2, + message='Document.Page.DetectedLanguage', + ) + + class VisualElement(proto.Message): + r"""Detected non-text visual elements e.g. checkbox, signature + etc. on the page. + + Attributes: + layout (google.cloud.documentai_v1.types.Document.Page.Layout): + [Layout][google.cloud.documentai.v1.Document.Page.Layout] + for + [VisualElement][google.cloud.documentai.v1.Document.Page.VisualElement]. + type_ (str): + Type of the + [VisualElement][google.cloud.documentai.v1.Document.Page.VisualElement]. + detected_languages (MutableSequence[google.cloud.documentai_v1.types.Document.Page.DetectedLanguage]): + A list of detected languages together with + confidence. + """ + + layout: 'Document.Page.Layout' = proto.Field( + proto.MESSAGE, + number=1, + message='Document.Page.Layout', + ) + type_: str = proto.Field( + proto.STRING, + number=2, + ) + detected_languages: MutableSequence['Document.Page.DetectedLanguage'] = proto.RepeatedField( + proto.MESSAGE, + number=3, + message='Document.Page.DetectedLanguage', + ) + + class Table(proto.Message): + r"""A table representation similar to HTML table structure. + + Attributes: + layout (google.cloud.documentai_v1.types.Document.Page.Layout): + [Layout][google.cloud.documentai.v1.Document.Page.Layout] + for [Table][google.cloud.documentai.v1.Document.Page.Table]. + header_rows (MutableSequence[google.cloud.documentai_v1.types.Document.Page.Table.TableRow]): + Header rows of the table. + body_rows (MutableSequence[google.cloud.documentai_v1.types.Document.Page.Table.TableRow]): + Body rows of the table. + detected_languages (MutableSequence[google.cloud.documentai_v1.types.Document.Page.DetectedLanguage]): + A list of detected languages together with + confidence. + provenance (google.cloud.documentai_v1.types.Document.Provenance): + The history of this table. + """ + + class TableRow(proto.Message): + r"""A row of table cells. + + Attributes: + cells (MutableSequence[google.cloud.documentai_v1.types.Document.Page.Table.TableCell]): + Cells that make up this row. + """ + + cells: MutableSequence['Document.Page.Table.TableCell'] = proto.RepeatedField( + proto.MESSAGE, + number=1, + message='Document.Page.Table.TableCell', + ) + + class TableCell(proto.Message): + r"""A cell representation inside the table. + + Attributes: + layout (google.cloud.documentai_v1.types.Document.Page.Layout): + [Layout][google.cloud.documentai.v1.Document.Page.Layout] + for + [TableCell][google.cloud.documentai.v1.Document.Page.Table.TableCell]. + row_span (int): + How many rows this cell spans. + col_span (int): + How many columns this cell spans. + detected_languages (MutableSequence[google.cloud.documentai_v1.types.Document.Page.DetectedLanguage]): + A list of detected languages together with + confidence. + """ + + layout: 'Document.Page.Layout' = proto.Field( + proto.MESSAGE, + number=1, + message='Document.Page.Layout', + ) + row_span: int = proto.Field( + proto.INT32, + number=2, + ) + col_span: int = proto.Field( + proto.INT32, + number=3, + ) + detected_languages: MutableSequence['Document.Page.DetectedLanguage'] = proto.RepeatedField( + proto.MESSAGE, + number=4, + message='Document.Page.DetectedLanguage', + ) + + layout: 'Document.Page.Layout' = proto.Field( + proto.MESSAGE, + number=1, + message='Document.Page.Layout', + ) + header_rows: MutableSequence['Document.Page.Table.TableRow'] = proto.RepeatedField( + proto.MESSAGE, + number=2, + message='Document.Page.Table.TableRow', + ) + body_rows: MutableSequence['Document.Page.Table.TableRow'] = proto.RepeatedField( + proto.MESSAGE, + number=3, + message='Document.Page.Table.TableRow', + ) + detected_languages: MutableSequence['Document.Page.DetectedLanguage'] = proto.RepeatedField( + proto.MESSAGE, + number=4, + message='Document.Page.DetectedLanguage', + ) + provenance: 'Document.Provenance' = proto.Field( + proto.MESSAGE, + number=5, + message='Document.Provenance', + ) + + class FormField(proto.Message): + r"""A form field detected on the page. + + Attributes: + field_name (google.cloud.documentai_v1.types.Document.Page.Layout): + [Layout][google.cloud.documentai.v1.Document.Page.Layout] + for the + [FormField][google.cloud.documentai.v1.Document.Page.FormField] + name. e.g. ``Address``, ``Email``, ``Grand total``, + ``Phone number``, etc. + field_value (google.cloud.documentai_v1.types.Document.Page.Layout): + [Layout][google.cloud.documentai.v1.Document.Page.Layout] + for the + [FormField][google.cloud.documentai.v1.Document.Page.FormField] + value. + name_detected_languages (MutableSequence[google.cloud.documentai_v1.types.Document.Page.DetectedLanguage]): + A list of detected languages for name + together with confidence. + value_detected_languages (MutableSequence[google.cloud.documentai_v1.types.Document.Page.DetectedLanguage]): + A list of detected languages for value + together with confidence. + value_type (str): + If the value is non-textual, this field represents the type. + Current valid values are: + + - blank (this indicates the ``field_value`` is normal text) + - ``unfilled_checkbox`` + - ``filled_checkbox`` + corrected_key_text (str): + Created for Labeling UI to export key text. If corrections + were made to the text identified by the + ``field_name.text_anchor``, this field will contain the + correction. + corrected_value_text (str): + Created for Labeling UI to export value text. If corrections + were made to the text identified by the + ``field_value.text_anchor``, this field will contain the + correction. + provenance (google.cloud.documentai_v1.types.Document.Provenance): + The history of this annotation. + """ + + field_name: 'Document.Page.Layout' = proto.Field( + proto.MESSAGE, + number=1, + message='Document.Page.Layout', + ) + field_value: 'Document.Page.Layout' = proto.Field( + proto.MESSAGE, + number=2, + message='Document.Page.Layout', + ) + name_detected_languages: MutableSequence['Document.Page.DetectedLanguage'] = proto.RepeatedField( + proto.MESSAGE, + number=3, + message='Document.Page.DetectedLanguage', + ) + value_detected_languages: MutableSequence['Document.Page.DetectedLanguage'] = proto.RepeatedField( + proto.MESSAGE, + number=4, + message='Document.Page.DetectedLanguage', + ) + value_type: str = proto.Field( + proto.STRING, + number=5, + ) + corrected_key_text: str = proto.Field( + proto.STRING, + number=6, + ) + corrected_value_text: str = proto.Field( + proto.STRING, + number=7, + ) + provenance: 'Document.Provenance' = proto.Field( + proto.MESSAGE, + number=8, + message='Document.Provenance', + ) + + class DetectedBarcode(proto.Message): + r"""A detected barcode. + + Attributes: + layout (google.cloud.documentai_v1.types.Document.Page.Layout): + [Layout][google.cloud.documentai.v1.Document.Page.Layout] + for + [DetectedBarcode][google.cloud.documentai.v1.Document.Page.DetectedBarcode]. + barcode (google.cloud.documentai_v1.types.Barcode): + Detailed barcode information of the + [DetectedBarcode][google.cloud.documentai.v1.Document.Page.DetectedBarcode]. + """ + + layout: 'Document.Page.Layout' = proto.Field( + proto.MESSAGE, + number=1, + message='Document.Page.Layout', + ) + barcode: gcd_barcode.Barcode = proto.Field( + proto.MESSAGE, + number=2, + message=gcd_barcode.Barcode, + ) + + class DetectedLanguage(proto.Message): + r"""Detected language for a structural component. + + Attributes: + language_code (str): + The `BCP-47 language + code `__, + such as ``en-US`` or ``sr-Latn``. + confidence (float): + Confidence of detected language. Range ``[0, 1]``. + """ + + language_code: str = proto.Field( + proto.STRING, + number=1, + ) + confidence: float = proto.Field( + proto.FLOAT, + number=2, + ) + + class ImageQualityScores(proto.Message): + r"""Image quality scores for the page image. + + Attributes: + quality_score (float): + The overall quality score. Range ``[0, 1]`` where ``1`` is + perfect quality. + detected_defects (MutableSequence[google.cloud.documentai_v1.types.Document.Page.ImageQualityScores.DetectedDefect]): + A list of detected defects. + """ + + class DetectedDefect(proto.Message): + r"""Image Quality Defects + + Attributes: + type_ (str): + Name of the defect type. Supported values are: + + - ``quality/defect_blurry`` + - ``quality/defect_noisy`` + - ``quality/defect_dark`` + - ``quality/defect_faint`` + - ``quality/defect_text_too_small`` + - ``quality/defect_document_cutoff`` + - ``quality/defect_text_cutoff`` + - ``quality/defect_glare`` + confidence (float): + Confidence of detected defect. Range ``[0, 1]`` where ``1`` + indicates strong confidence that the defect exists. + """ + + type_: str = proto.Field( + proto.STRING, + number=1, + ) + confidence: float = proto.Field( + proto.FLOAT, + number=2, + ) + + quality_score: float = proto.Field( + proto.FLOAT, + number=1, + ) + detected_defects: MutableSequence['Document.Page.ImageQualityScores.DetectedDefect'] = proto.RepeatedField( + proto.MESSAGE, + number=2, + message='Document.Page.ImageQualityScores.DetectedDefect', + ) + + page_number: int = proto.Field( + proto.INT32, + number=1, + ) + image: 'Document.Page.Image' = proto.Field( + proto.MESSAGE, + number=13, + message='Document.Page.Image', + ) + transforms: MutableSequence['Document.Page.Matrix'] = proto.RepeatedField( + proto.MESSAGE, + number=14, + message='Document.Page.Matrix', + ) + dimension: 'Document.Page.Dimension' = proto.Field( + proto.MESSAGE, + number=2, + message='Document.Page.Dimension', + ) + layout: 'Document.Page.Layout' = proto.Field( + proto.MESSAGE, + number=3, + message='Document.Page.Layout', + ) + detected_languages: MutableSequence['Document.Page.DetectedLanguage'] = proto.RepeatedField( + proto.MESSAGE, + number=4, + message='Document.Page.DetectedLanguage', + ) + blocks: MutableSequence['Document.Page.Block'] = proto.RepeatedField( + proto.MESSAGE, + number=5, + message='Document.Page.Block', + ) + paragraphs: MutableSequence['Document.Page.Paragraph'] = proto.RepeatedField( + proto.MESSAGE, + number=6, + message='Document.Page.Paragraph', + ) + lines: MutableSequence['Document.Page.Line'] = proto.RepeatedField( + proto.MESSAGE, + number=7, + message='Document.Page.Line', + ) + tokens: MutableSequence['Document.Page.Token'] = proto.RepeatedField( + proto.MESSAGE, + number=8, + message='Document.Page.Token', + ) + visual_elements: MutableSequence['Document.Page.VisualElement'] = proto.RepeatedField( + proto.MESSAGE, + number=9, + message='Document.Page.VisualElement', + ) + tables: MutableSequence['Document.Page.Table'] = proto.RepeatedField( + proto.MESSAGE, + number=10, + message='Document.Page.Table', + ) + form_fields: MutableSequence['Document.Page.FormField'] = proto.RepeatedField( + proto.MESSAGE, + number=11, + message='Document.Page.FormField', + ) + symbols: MutableSequence['Document.Page.Symbol'] = proto.RepeatedField( + proto.MESSAGE, + number=12, + message='Document.Page.Symbol', + ) + detected_barcodes: MutableSequence['Document.Page.DetectedBarcode'] = proto.RepeatedField( + proto.MESSAGE, + number=15, + message='Document.Page.DetectedBarcode', + ) + image_quality_scores: 'Document.Page.ImageQualityScores' = proto.Field( + proto.MESSAGE, + number=17, + message='Document.Page.ImageQualityScores', + ) + provenance: 'Document.Provenance' = proto.Field( + proto.MESSAGE, + number=16, + message='Document.Provenance', + ) + + class Entity(proto.Message): + r"""An entity that could be a phrase in the text or a property + that belongs to the document. It is a known entity type, such as + a person, an organization, or location. + + Attributes: + text_anchor (google.cloud.documentai_v1.types.Document.TextAnchor): + Optional. Provenance of the entity. Text anchor indexing + into the + [Document.text][google.cloud.documentai.v1.Document.text]. + type_ (str): + Required. Entity type from a schema e.g. ``Address``. + mention_text (str): + Optional. Text value of the entity e.g. + ``1600 Amphitheatre Pkwy``. + mention_id (str): + Optional. Deprecated. Use ``id`` field instead. + confidence (float): + Optional. Confidence of detected Schema entity. Range + ``[0, 1]``. + page_anchor (google.cloud.documentai_v1.types.Document.PageAnchor): + Optional. Represents the provenance of this + entity wrt. the location on the page where it + was found. + id (str): + Optional. Canonical id. This will be a unique + value in the entity list for this document. + normalized_value (google.cloud.documentai_v1.types.Document.Entity.NormalizedValue): + Optional. Normalized entity value. Absent if + the extracted value could not be converted or + the type (e.g. address) is not supported for + certain parsers. This field is also only + populated for certain supported document types. + properties (MutableSequence[google.cloud.documentai_v1.types.Document.Entity]): + Optional. Entities can be nested to form a + hierarchical data structure representing the + content in the document. + provenance (google.cloud.documentai_v1.types.Document.Provenance): + Optional. The history of this annotation. + redacted (bool): + Optional. Whether the entity will be redacted + for de-identification purposes. + """ + + class NormalizedValue(proto.Message): + r"""Parsed and normalized entity value. + + This message has `oneof`_ fields (mutually exclusive fields). + For each oneof, at most one member field can be set at the same time. + Setting any member of the oneof automatically clears all other + members. + + .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields + + Attributes: + money_value (google.type.money_pb2.Money): + Money value. See also: + + https://github.com/googleapis/googleapis/blob/master/google/type/money.proto + + This field is a member of `oneof`_ ``structured_value``. + date_value (google.type.date_pb2.Date): + Date value. Includes year, month, day. See + also: + https://github.com/googleapis/googleapis/blob/master/google/type/date.proto + + This field is a member of `oneof`_ ``structured_value``. + datetime_value (google.type.datetime_pb2.DateTime): + DateTime value. Includes date, time, and + timezone. See also: + https://github.com/googleapis/googleapis/blob/master/google/type/datetime.proto + + This field is a member of `oneof`_ ``structured_value``. + address_value (google.type.postal_address_pb2.PostalAddress): + Postal address. See also: + https://github.com/googleapis/googleapis/blob/master/google/type/postal_address.proto + + This field is a member of `oneof`_ ``structured_value``. + boolean_value (bool): + Boolean value. Can be used for entities with + binary values, or for checkboxes. + + This field is a member of `oneof`_ ``structured_value``. + integer_value (int): + Integer value. + + This field is a member of `oneof`_ ``structured_value``. + float_value (float): + Float value. + + This field is a member of `oneof`_ ``structured_value``. + text (str): + Optional. An optional field to store a normalized string. + For some entity types, one of respective + ``structured_value`` fields may also be populated. Also not + all the types of ``structured_value`` will be normalized. + For example, some processors may not generate ``float`` or + ``integer`` normalized text by default. + + Below are sample formats mapped to structured values. + + - Money/Currency type (``money_value``) is in the ISO 4217 + text format. + - Date type (``date_value``) is in the ISO 8601 text + format. + - Datetime type (``datetime_value``) is in the ISO 8601 + text format. + """ + + money_value: money_pb2.Money = proto.Field( + proto.MESSAGE, + number=2, + oneof='structured_value', + message=money_pb2.Money, + ) + date_value: date_pb2.Date = proto.Field( + proto.MESSAGE, + number=3, + oneof='structured_value', + message=date_pb2.Date, + ) + datetime_value: datetime_pb2.DateTime = proto.Field( + proto.MESSAGE, + number=4, + oneof='structured_value', + message=datetime_pb2.DateTime, + ) + address_value: postal_address_pb2.PostalAddress = proto.Field( + proto.MESSAGE, + number=5, + oneof='structured_value', + message=postal_address_pb2.PostalAddress, + ) + boolean_value: bool = proto.Field( + proto.BOOL, + number=6, + oneof='structured_value', + ) + integer_value: int = proto.Field( + proto.INT32, + number=7, + oneof='structured_value', + ) + float_value: float = proto.Field( + proto.FLOAT, + number=8, + oneof='structured_value', + ) + text: str = proto.Field( + proto.STRING, + number=1, + ) + + text_anchor: 'Document.TextAnchor' = proto.Field( + proto.MESSAGE, + number=1, + message='Document.TextAnchor', + ) + type_: str = proto.Field( + proto.STRING, + number=2, + ) + mention_text: str = proto.Field( + proto.STRING, + number=3, + ) + mention_id: str = proto.Field( + proto.STRING, + number=4, + ) + confidence: float = proto.Field( + proto.FLOAT, + number=5, + ) + page_anchor: 'Document.PageAnchor' = proto.Field( + proto.MESSAGE, + number=6, + message='Document.PageAnchor', + ) + id: str = proto.Field( + proto.STRING, + number=7, + ) + normalized_value: 'Document.Entity.NormalizedValue' = proto.Field( + proto.MESSAGE, + number=9, + message='Document.Entity.NormalizedValue', + ) + properties: MutableSequence['Document.Entity'] = proto.RepeatedField( + proto.MESSAGE, + number=10, + message='Document.Entity', + ) + provenance: 'Document.Provenance' = proto.Field( + proto.MESSAGE, + number=11, + message='Document.Provenance', + ) + redacted: bool = proto.Field( + proto.BOOL, + number=12, + ) + + class EntityRelation(proto.Message): + r"""Relationship between + [Entities][google.cloud.documentai.v1.Document.Entity]. + + Attributes: + subject_id (str): + Subject entity id. + object_id (str): + Object entity id. + relation (str): + Relationship description. + """ + + subject_id: str = proto.Field( + proto.STRING, + number=1, + ) + object_id: str = proto.Field( + proto.STRING, + number=2, + ) + relation: str = proto.Field( + proto.STRING, + number=3, + ) + + class TextAnchor(proto.Message): + r"""Text reference indexing into the + [Document.text][google.cloud.documentai.v1.Document.text]. + + Attributes: + text_segments (MutableSequence[google.cloud.documentai_v1.types.Document.TextAnchor.TextSegment]): + The text segments from the + [Document.text][google.cloud.documentai.v1.Document.text]. + content (str): + Contains the content of the text span so that users do not + have to look it up in the text_segments. It is always + populated for formFields. + """ + + class TextSegment(proto.Message): + r"""A text segment in the + [Document.text][google.cloud.documentai.v1.Document.text]. The + indices may be out of bounds which indicate that the text extends + into another document shard for large sharded documents. See + [ShardInfo.text_offset][google.cloud.documentai.v1.Document.ShardInfo.text_offset] + + Attributes: + start_index (int): + [TextSegment][google.cloud.documentai.v1.Document.TextAnchor.TextSegment] + start UTF-8 char index in the + [Document.text][google.cloud.documentai.v1.Document.text]. + end_index (int): + [TextSegment][google.cloud.documentai.v1.Document.TextAnchor.TextSegment] + half open end UTF-8 char index in the + [Document.text][google.cloud.documentai.v1.Document.text]. + """ + + start_index: int = proto.Field( + proto.INT64, + number=1, + ) + end_index: int = proto.Field( + proto.INT64, + number=2, + ) + + text_segments: MutableSequence['Document.TextAnchor.TextSegment'] = proto.RepeatedField( + proto.MESSAGE, + number=1, + message='Document.TextAnchor.TextSegment', + ) + content: str = proto.Field( + proto.STRING, + number=2, + ) + + class PageAnchor(proto.Message): + r"""Referencing the visual context of the entity in the + [Document.pages][google.cloud.documentai.v1.Document.pages]. Page + anchors can be cross-page, consist of multiple bounding polygons and + optionally reference specific layout element types. + + Attributes: + page_refs (MutableSequence[google.cloud.documentai_v1.types.Document.PageAnchor.PageRef]): + One or more references to visual page + elements + """ + + class PageRef(proto.Message): + r"""Represents a weak reference to a page element within a + document. + + Attributes: + page (int): + Required. Index into the + [Document.pages][google.cloud.documentai.v1.Document.pages] + element, for example using + ``[Document.pages][page_refs.page]`` to locate the related + page element. This field is skipped when its value is the + default ``0``. See + https://developers.google.com/protocol-buffers/docs/proto3#json. + layout_type (google.cloud.documentai_v1.types.Document.PageAnchor.PageRef.LayoutType): + Optional. The type of the layout element that + is being referenced if any. + layout_id (str): + Optional. Deprecated. Use + [PageRef.bounding_poly][google.cloud.documentai.v1.Document.PageAnchor.PageRef.bounding_poly] + instead. + bounding_poly (google.cloud.documentai_v1.types.BoundingPoly): + Optional. Identifies the bounding polygon of a layout + element on the page. If ``layout_type`` is set, the bounding + polygon must be exactly the same to the layout element it's + referring to. + confidence (float): + Optional. Confidence of detected page element, if + applicable. Range ``[0, 1]``. + """ + class LayoutType(proto.Enum): + r"""The type of layout that is being referenced. + + Values: + LAYOUT_TYPE_UNSPECIFIED (0): + Layout Unspecified. + BLOCK (1): + References a + [Page.blocks][google.cloud.documentai.v1.Document.Page.blocks] + element. + PARAGRAPH (2): + References a + [Page.paragraphs][google.cloud.documentai.v1.Document.Page.paragraphs] + element. + LINE (3): + References a + [Page.lines][google.cloud.documentai.v1.Document.Page.lines] + element. + TOKEN (4): + References a + [Page.tokens][google.cloud.documentai.v1.Document.Page.tokens] + element. + VISUAL_ELEMENT (5): + References a + [Page.visual_elements][google.cloud.documentai.v1.Document.Page.visual_elements] + element. + TABLE (6): + Refrrences a + [Page.tables][google.cloud.documentai.v1.Document.Page.tables] + element. + FORM_FIELD (7): + References a + [Page.form_fields][google.cloud.documentai.v1.Document.Page.form_fields] + element. + """ + LAYOUT_TYPE_UNSPECIFIED = 0 + BLOCK = 1 + PARAGRAPH = 2 + LINE = 3 + TOKEN = 4 + VISUAL_ELEMENT = 5 + TABLE = 6 + FORM_FIELD = 7 + + page: int = proto.Field( + proto.INT64, + number=1, + ) + layout_type: 'Document.PageAnchor.PageRef.LayoutType' = proto.Field( + proto.ENUM, + number=2, + enum='Document.PageAnchor.PageRef.LayoutType', + ) + layout_id: str = proto.Field( + proto.STRING, + number=3, + ) + bounding_poly: geometry.BoundingPoly = proto.Field( + proto.MESSAGE, + number=4, + message=geometry.BoundingPoly, + ) + confidence: float = proto.Field( + proto.FLOAT, + number=5, + ) + + page_refs: MutableSequence['Document.PageAnchor.PageRef'] = proto.RepeatedField( + proto.MESSAGE, + number=1, + message='Document.PageAnchor.PageRef', + ) + + class Provenance(proto.Message): + r"""Structure to identify provenance relationships between + annotations in different revisions. + + Attributes: + revision (int): + The index of the revision that produced this + element. + id (int): + The Id of this operation. Needs to be unique + within the scope of the revision. + parents (MutableSequence[google.cloud.documentai_v1.types.Document.Provenance.Parent]): + References to the original elements that are + replaced. + type_ (google.cloud.documentai_v1.types.Document.Provenance.OperationType): + The type of provenance operation. + """ + class OperationType(proto.Enum): + r"""If a processor or agent does an explicit operation on + existing elements. + + Values: + OPERATION_TYPE_UNSPECIFIED (0): + Operation type unspecified. If no operation is specified a + provenance entry is simply used to match against a + ``parent``. + ADD (1): + Add an element. + REMOVE (2): + Remove an element identified by ``parent``. + UPDATE (7): + Updates any fields within the given + provenance scope of the message. It overwrites + the fields rather than replacing them. Use this + when you want to update a field value of an + entity without also updating all the child + properties. + REPLACE (3): + Currently unused. Replace an element identified by + ``parent``. + EVAL_REQUESTED (4): + Deprecated. Request human review for the element identified + by ``parent``. + EVAL_APPROVED (5): + Deprecated. Element is reviewed and approved + at human review, confidence will be set to 1.0. + EVAL_SKIPPED (6): + Deprecated. Element is skipped in the + validation process. + """ + OPERATION_TYPE_UNSPECIFIED = 0 + ADD = 1 + REMOVE = 2 + UPDATE = 7 + REPLACE = 3 + EVAL_REQUESTED = 4 + EVAL_APPROVED = 5 + EVAL_SKIPPED = 6 + + class Parent(proto.Message): + r"""The parent element the current element is based on. Used for + referencing/aligning, removal and replacement operations. + + Attributes: + revision (int): + The index of the index into current revision's parent_ids + list. + index (int): + The index of the parent item in the + corresponding item list (eg. list of entities, + properties within entities, etc.) in the parent + revision. + id (int): + The id of the parent provenance. + """ + + revision: int = proto.Field( + proto.INT32, + number=1, + ) + index: int = proto.Field( + proto.INT32, + number=3, + ) + id: int = proto.Field( + proto.INT32, + number=2, + ) + + revision: int = proto.Field( + proto.INT32, + number=1, + ) + id: int = proto.Field( + proto.INT32, + number=2, + ) + parents: MutableSequence['Document.Provenance.Parent'] = proto.RepeatedField( + proto.MESSAGE, + number=3, + message='Document.Provenance.Parent', + ) + type_: 'Document.Provenance.OperationType' = proto.Field( + proto.ENUM, + number=4, + enum='Document.Provenance.OperationType', + ) + + class Revision(proto.Message): + r"""Contains past or forward revisions of this document. + + This message has `oneof`_ fields (mutually exclusive fields). + For each oneof, at most one member field can be set at the same time. + Setting any member of the oneof automatically clears all other + members. + + .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields + + Attributes: + agent (str): + If the change was made by a person specify + the name or id of that person. + + This field is a member of `oneof`_ ``source``. + processor (str): + If the annotation was made by processor + identify the processor by its resource name. + + This field is a member of `oneof`_ ``source``. + id (str): + Id of the revision, internally generated by + doc proto storage. Unique within the context of + the document. + parent (MutableSequence[int]): + The revisions that this revision is based on. This can + include one or more parent (when documents are merged.) This + field represents the index into the ``revisions`` field. + parent_ids (MutableSequence[str]): + The revisions that this revision is based on. Must include + all the ids that have anything to do with this revision - + eg. there are ``provenance.parent.revision`` fields that + index into this field. + create_time (google.protobuf.timestamp_pb2.Timestamp): + The time that the revision was created, + internally generated by doc proto storage at the + time of create. + human_review (google.cloud.documentai_v1.types.Document.Revision.HumanReview): + Human Review information of this revision. + """ + + class HumanReview(proto.Message): + r"""Human Review information of the document. + + Attributes: + state (str): + Human review state. e.g. ``requested``, ``succeeded``, + ``rejected``. + state_message (str): + A message providing more details about the current state of + processing. For example, the rejection reason when the state + is ``rejected``. + """ + + state: str = proto.Field( + proto.STRING, + number=1, + ) + state_message: str = proto.Field( + proto.STRING, + number=2, + ) + + agent: str = proto.Field( + proto.STRING, + number=4, + oneof='source', + ) + processor: str = proto.Field( + proto.STRING, + number=5, + oneof='source', + ) + id: str = proto.Field( + proto.STRING, + number=1, + ) + parent: MutableSequence[int] = proto.RepeatedField( + proto.INT32, + number=2, + ) + parent_ids: MutableSequence[str] = proto.RepeatedField( + proto.STRING, + number=7, + ) + create_time: timestamp_pb2.Timestamp = proto.Field( + proto.MESSAGE, + number=3, + message=timestamp_pb2.Timestamp, + ) + human_review: 'Document.Revision.HumanReview' = proto.Field( + proto.MESSAGE, + number=6, + message='Document.Revision.HumanReview', + ) + + class TextChange(proto.Message): + r"""This message is used for text changes aka. OCR corrections. + + Attributes: + text_anchor (google.cloud.documentai_v1.types.Document.TextAnchor): + Provenance of the correction. Text anchor indexing into the + [Document.text][google.cloud.documentai.v1.Document.text]. + There can only be a single ``TextAnchor.text_segments`` + element. If the start and end index of the text segment are + the same, the text change is inserted before that index. + changed_text (str): + The text that replaces the text identified in the + ``text_anchor``. + provenance (MutableSequence[google.cloud.documentai_v1.types.Document.Provenance]): + The history of this annotation. + """ + + text_anchor: 'Document.TextAnchor' = proto.Field( + proto.MESSAGE, + number=1, + message='Document.TextAnchor', + ) + changed_text: str = proto.Field( + proto.STRING, + number=2, + ) + provenance: MutableSequence['Document.Provenance'] = proto.RepeatedField( + proto.MESSAGE, + number=3, + message='Document.Provenance', + ) + + uri: str = proto.Field( + proto.STRING, + number=1, + oneof='source', + ) + content: bytes = proto.Field( + proto.BYTES, + number=2, + oneof='source', + ) + mime_type: str = proto.Field( + proto.STRING, + number=3, + ) + text: str = proto.Field( + proto.STRING, + number=4, + ) + text_styles: MutableSequence[Style] = proto.RepeatedField( + proto.MESSAGE, + number=5, + message=Style, + ) + pages: MutableSequence[Page] = proto.RepeatedField( + proto.MESSAGE, + number=6, + message=Page, + ) + entities: MutableSequence[Entity] = proto.RepeatedField( + proto.MESSAGE, + number=7, + message=Entity, + ) + entity_relations: MutableSequence[EntityRelation] = proto.RepeatedField( + proto.MESSAGE, + number=8, + message=EntityRelation, + ) + text_changes: MutableSequence[TextChange] = proto.RepeatedField( + proto.MESSAGE, + number=14, + message=TextChange, + ) + shard_info: ShardInfo = proto.Field( + proto.MESSAGE, + number=9, + message=ShardInfo, + ) + error: status_pb2.Status = proto.Field( + proto.MESSAGE, + number=10, + message=status_pb2.Status, + ) + revisions: MutableSequence[Revision] = proto.RepeatedField( + proto.MESSAGE, + number=13, + message=Revision, + ) + + +__all__ = tuple(sorted(__protobuf__.manifest)) diff --git a/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/types/document_io.py b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/types/document_io.py new file mode 100644 index 000000000000..55f8e8688deb --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/types/document_io.py @@ -0,0 +1,361 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from __future__ import annotations + +from typing import MutableMapping, MutableSequence + +import proto # type: ignore + +from google.protobuf import field_mask_pb2 # type: ignore + + +__protobuf__ = proto.module( + package='google.cloud.documentai.v1', + manifest={ + 'RawDocument', + 'GcsDocument', + 'GcsDocuments', + 'GcsPrefix', + 'BatchDocumentsInputConfig', + 'DocumentOutputConfig', + 'OcrConfig', + }, +) + + +class RawDocument(proto.Message): + r"""Payload message of raw document content (bytes). + + Attributes: + content (bytes): + Inline document content. + mime_type (str): + An IANA MIME type (RFC6838) indicating the nature and format + of the + [content][google.cloud.documentai.v1.RawDocument.content]. + display_name (str): + The display name of the document, it supports all Unicode + characters except the following: ``*``, ``?``, ``[``, ``]``, + ``%``, ``{``, ``}``,\ ``'``, ``\"``, ``,`` ``~``, ``=`` and + ``:`` are reserved. If not specified, a default ID is + generated. + """ + + content: bytes = proto.Field( + proto.BYTES, + number=1, + ) + mime_type: str = proto.Field( + proto.STRING, + number=2, + ) + display_name: str = proto.Field( + proto.STRING, + number=3, + ) + + +class GcsDocument(proto.Message): + r"""Specifies a document stored on Cloud Storage. + + Attributes: + gcs_uri (str): + The Cloud Storage object uri. + mime_type (str): + An IANA MIME type (RFC6838) of the content. + """ + + gcs_uri: str = proto.Field( + proto.STRING, + number=1, + ) + mime_type: str = proto.Field( + proto.STRING, + number=2, + ) + + +class GcsDocuments(proto.Message): + r"""Specifies a set of documents on Cloud Storage. + + Attributes: + documents (MutableSequence[google.cloud.documentai_v1.types.GcsDocument]): + The list of documents. + """ + + documents: MutableSequence['GcsDocument'] = proto.RepeatedField( + proto.MESSAGE, + number=1, + message='GcsDocument', + ) + + +class GcsPrefix(proto.Message): + r"""Specifies all documents on Cloud Storage with a common + prefix. + + Attributes: + gcs_uri_prefix (str): + The URI prefix. + """ + + gcs_uri_prefix: str = proto.Field( + proto.STRING, + number=1, + ) + + +class BatchDocumentsInputConfig(proto.Message): + r"""The common config to specify a set of documents used as + input. + + This message has `oneof`_ fields (mutually exclusive fields). + For each oneof, at most one member field can be set at the same time. + Setting any member of the oneof automatically clears all other + members. + + .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields + + Attributes: + gcs_prefix (google.cloud.documentai_v1.types.GcsPrefix): + The set of documents that match the specified Cloud Storage + ``gcs_prefix``. + + This field is a member of `oneof`_ ``source``. + gcs_documents (google.cloud.documentai_v1.types.GcsDocuments): + The set of documents individually specified + on Cloud Storage. + + This field is a member of `oneof`_ ``source``. + """ + + gcs_prefix: 'GcsPrefix' = proto.Field( + proto.MESSAGE, + number=1, + oneof='source', + message='GcsPrefix', + ) + gcs_documents: 'GcsDocuments' = proto.Field( + proto.MESSAGE, + number=2, + oneof='source', + message='GcsDocuments', + ) + + +class DocumentOutputConfig(proto.Message): + r"""Config that controls the output of documents. All documents + will be written as a JSON file. + + + .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields + + Attributes: + gcs_output_config (google.cloud.documentai_v1.types.DocumentOutputConfig.GcsOutputConfig): + Output config to write the results to Cloud + Storage. + + This field is a member of `oneof`_ ``destination``. + """ + + class GcsOutputConfig(proto.Message): + r"""The configuration used when outputting documents. + + Attributes: + gcs_uri (str): + The Cloud Storage uri (a directory) of the + output. + field_mask (google.protobuf.field_mask_pb2.FieldMask): + Specifies which fields to include in the output documents. + Only supports top level document and pages field so it must + be in the form of ``{document_field_name}`` or + ``pages.{page_field_name}``. + sharding_config (google.cloud.documentai_v1.types.DocumentOutputConfig.GcsOutputConfig.ShardingConfig): + Specifies the sharding config for the output + document. + """ + + class ShardingConfig(proto.Message): + r"""The sharding config for the output document. + + Attributes: + pages_per_shard (int): + The number of pages per shard. + pages_overlap (int): + The number of overlapping pages between + consecutive shards. + """ + + pages_per_shard: int = proto.Field( + proto.INT32, + number=1, + ) + pages_overlap: int = proto.Field( + proto.INT32, + number=2, + ) + + gcs_uri: str = proto.Field( + proto.STRING, + number=1, + ) + field_mask: field_mask_pb2.FieldMask = proto.Field( + proto.MESSAGE, + number=2, + message=field_mask_pb2.FieldMask, + ) + sharding_config: 'DocumentOutputConfig.GcsOutputConfig.ShardingConfig' = proto.Field( + proto.MESSAGE, + number=3, + message='DocumentOutputConfig.GcsOutputConfig.ShardingConfig', + ) + + gcs_output_config: GcsOutputConfig = proto.Field( + proto.MESSAGE, + number=1, + oneof='destination', + message=GcsOutputConfig, + ) + + +class OcrConfig(proto.Message): + r"""Config for Document OCR. + + Attributes: + hints (google.cloud.documentai_v1.types.OcrConfig.Hints): + Hints for the OCR model. + enable_native_pdf_parsing (bool): + Enables special handling for PDFs with + existing text information. Results in better + text extraction quality in such PDF inputs. + enable_image_quality_scores (bool): + Enables intelligent document quality scores + after OCR. Can help with diagnosing why OCR + responses are of poor quality for a given input. + Adds additional latency comparable to regular + OCR to the process call. + advanced_ocr_options (MutableSequence[str]): + A list of advanced OCR options to further fine-tune OCR + behavior. Current valid values are: + + - ``legacy_layout``: a heuristics layout detection + algorithm, which serves as an alternative to the current + ML-based layout detection algorithm. Customers can choose + the best suitable layout algorithm based on their + situation. + enable_symbol (bool): + Includes symbol level OCR information if set + to true. + compute_style_info (bool): + Turn on font identification model and return font style + information. Deprecated, use + [PremiumFeatures.compute_style_info][google.cloud.documentai.v1.OcrConfig.PremiumFeatures.compute_style_info] + instead. + disable_character_boxes_detection (bool): + Turn off character box detector in OCR + engine. Character box detection is enabled by + default in OCR 2.0 (and later) processors. + premium_features (google.cloud.documentai_v1.types.OcrConfig.PremiumFeatures): + Configurations for premium OCR features. + """ + + class Hints(proto.Message): + r"""Hints for OCR Engine + + Attributes: + language_hints (MutableSequence[str]): + List of BCP-47 language codes to use for OCR. + In most cases, not specifying it yields the best + results since it enables automatic language + detection. For languages based on the Latin + alphabet, setting hints is not needed. In rare + cases, when the language of the text in the + image is known, setting a hint will help get + better results (although it will be a + significant hindrance if the hint is wrong). + """ + + language_hints: MutableSequence[str] = proto.RepeatedField( + proto.STRING, + number=1, + ) + + class PremiumFeatures(proto.Message): + r"""Configurations for premium OCR features. + + Attributes: + enable_selection_mark_detection (bool): + Turn on selection mark detector in OCR + engine. Only available in OCR 2.0 (and later) + processors. + compute_style_info (bool): + Turn on font identification model and return + font style information. + enable_math_ocr (bool): + Turn on the model that can extract LaTeX math + formulas. + """ + + enable_selection_mark_detection: bool = proto.Field( + proto.BOOL, + number=3, + ) + compute_style_info: bool = proto.Field( + proto.BOOL, + number=4, + ) + enable_math_ocr: bool = proto.Field( + proto.BOOL, + number=5, + ) + + hints: Hints = proto.Field( + proto.MESSAGE, + number=2, + message=Hints, + ) + enable_native_pdf_parsing: bool = proto.Field( + proto.BOOL, + number=3, + ) + enable_image_quality_scores: bool = proto.Field( + proto.BOOL, + number=4, + ) + advanced_ocr_options: MutableSequence[str] = proto.RepeatedField( + proto.STRING, + number=5, + ) + enable_symbol: bool = proto.Field( + proto.BOOL, + number=6, + ) + compute_style_info: bool = proto.Field( + proto.BOOL, + number=8, + ) + disable_character_boxes_detection: bool = proto.Field( + proto.BOOL, + number=10, + ) + premium_features: PremiumFeatures = proto.Field( + proto.MESSAGE, + number=11, + message=PremiumFeatures, + ) + + +__all__ = tuple(sorted(__protobuf__.manifest)) diff --git a/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/types/document_processor_service.py b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/types/document_processor_service.py new file mode 100644 index 000000000000..6f90319ff877 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/types/document_processor_service.py @@ -0,0 +1,1624 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from __future__ import annotations + +from typing import MutableMapping, MutableSequence + +import proto # type: ignore + +from google.cloud.documentai_v1.types import document as gcd_document +from google.cloud.documentai_v1.types import document_io +from google.cloud.documentai_v1.types import document_schema as gcd_document_schema +from google.cloud.documentai_v1.types import evaluation as gcd_evaluation +from google.cloud.documentai_v1.types import operation_metadata +from google.cloud.documentai_v1.types import processor as gcd_processor +from google.cloud.documentai_v1.types import processor_type +from google.protobuf import field_mask_pb2 # type: ignore +from google.protobuf import timestamp_pb2 # type: ignore +from google.rpc import status_pb2 # type: ignore + + +__protobuf__ = proto.module( + package='google.cloud.documentai.v1', + manifest={ + 'ProcessOptions', + 'ProcessRequest', + 'HumanReviewStatus', + 'ProcessResponse', + 'BatchProcessRequest', + 'BatchProcessResponse', + 'BatchProcessMetadata', + 'FetchProcessorTypesRequest', + 'FetchProcessorTypesResponse', + 'ListProcessorTypesRequest', + 'ListProcessorTypesResponse', + 'ListProcessorsRequest', + 'ListProcessorsResponse', + 'GetProcessorTypeRequest', + 'GetProcessorRequest', + 'GetProcessorVersionRequest', + 'ListProcessorVersionsRequest', + 'ListProcessorVersionsResponse', + 'DeleteProcessorVersionRequest', + 'DeleteProcessorVersionMetadata', + 'DeployProcessorVersionRequest', + 'DeployProcessorVersionResponse', + 'DeployProcessorVersionMetadata', + 'UndeployProcessorVersionRequest', + 'UndeployProcessorVersionResponse', + 'UndeployProcessorVersionMetadata', + 'CreateProcessorRequest', + 'DeleteProcessorRequest', + 'DeleteProcessorMetadata', + 'EnableProcessorRequest', + 'EnableProcessorResponse', + 'EnableProcessorMetadata', + 'DisableProcessorRequest', + 'DisableProcessorResponse', + 'DisableProcessorMetadata', + 'SetDefaultProcessorVersionRequest', + 'SetDefaultProcessorVersionResponse', + 'SetDefaultProcessorVersionMetadata', + 'TrainProcessorVersionRequest', + 'TrainProcessorVersionResponse', + 'TrainProcessorVersionMetadata', + 'ReviewDocumentRequest', + 'ReviewDocumentResponse', + 'ReviewDocumentOperationMetadata', + 'EvaluateProcessorVersionRequest', + 'EvaluateProcessorVersionMetadata', + 'EvaluateProcessorVersionResponse', + 'GetEvaluationRequest', + 'ListEvaluationsRequest', + 'ListEvaluationsResponse', + }, +) + + +class ProcessOptions(proto.Message): + r"""Options for Process API + + This message has `oneof`_ fields (mutually exclusive fields). + For each oneof, at most one member field can be set at the same time. + Setting any member of the oneof automatically clears all other + members. + + .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields + + Attributes: + individual_page_selector (google.cloud.documentai_v1.types.ProcessOptions.IndividualPageSelector): + Which pages to process (1-indexed). + + This field is a member of `oneof`_ ``page_range``. + from_start (int): + Only process certain pages from the start. + Process all if the document has fewer pages. + + This field is a member of `oneof`_ ``page_range``. + from_end (int): + Only process certain pages from the end, same + as above. + + This field is a member of `oneof`_ ``page_range``. + ocr_config (google.cloud.documentai_v1.types.OcrConfig): + Only applicable to ``OCR_PROCESSOR`` and + ``FORM_PARSER_PROCESSOR``. Returns error if set on other + processor types. + schema_override (google.cloud.documentai_v1.types.DocumentSchema): + Optional. Override the schema of the + [ProcessorVersion][google.cloud.documentai.v1.ProcessorVersion]. + Will return an Invalid Argument error if this field is set + when the underlying + [ProcessorVersion][google.cloud.documentai.v1.ProcessorVersion] + doesn't support schema override. + """ + + class IndividualPageSelector(proto.Message): + r"""A list of individual page numbers. + + Attributes: + pages (MutableSequence[int]): + Optional. Indices of the pages (starting from + 1). + """ + + pages: MutableSequence[int] = proto.RepeatedField( + proto.INT32, + number=1, + ) + + individual_page_selector: IndividualPageSelector = proto.Field( + proto.MESSAGE, + number=5, + oneof='page_range', + message=IndividualPageSelector, + ) + from_start: int = proto.Field( + proto.INT32, + number=6, + oneof='page_range', + ) + from_end: int = proto.Field( + proto.INT32, + number=7, + oneof='page_range', + ) + ocr_config: document_io.OcrConfig = proto.Field( + proto.MESSAGE, + number=1, + message=document_io.OcrConfig, + ) + schema_override: gcd_document_schema.DocumentSchema = proto.Field( + proto.MESSAGE, + number=8, + message=gcd_document_schema.DocumentSchema, + ) + + +class ProcessRequest(proto.Message): + r"""Request message for the + [ProcessDocument][google.cloud.documentai.v1.DocumentProcessorService.ProcessDocument] + method. + + This message has `oneof`_ fields (mutually exclusive fields). + For each oneof, at most one member field can be set at the same time. + Setting any member of the oneof automatically clears all other + members. + + .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields + + Attributes: + inline_document (google.cloud.documentai_v1.types.Document): + An inline document proto. + + This field is a member of `oneof`_ ``source``. + raw_document (google.cloud.documentai_v1.types.RawDocument): + A raw document content (bytes). + + This field is a member of `oneof`_ ``source``. + gcs_document (google.cloud.documentai_v1.types.GcsDocument): + A raw document on Google Cloud Storage. + + This field is a member of `oneof`_ ``source``. + name (str): + Required. The resource name of the + [Processor][google.cloud.documentai.v1.Processor] or + [ProcessorVersion][google.cloud.documentai.v1.ProcessorVersion] + to use for processing. If a + [Processor][google.cloud.documentai.v1.Processor] is + specified, the server will use its [default + version][google.cloud.documentai.v1.Processor.default_processor_version]. + Format: + ``projects/{project}/locations/{location}/processors/{processor}``, + or + ``projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processorVersion}`` + skip_human_review (bool): + Whether human review should be skipped for this request. + Default to ``false``. + field_mask (google.protobuf.field_mask_pb2.FieldMask): + Specifies which fields to include in the + [ProcessResponse.document][google.cloud.documentai.v1.ProcessResponse.document] + output. Only supports top-level document and pages field, so + it must be in the form of ``{document_field_name}`` or + ``pages.{page_field_name}``. + process_options (google.cloud.documentai_v1.types.ProcessOptions): + Inference-time options for the process API + labels (MutableMapping[str, str]): + Optional. The labels with user-defined + metadata for the request. + Label keys and values can be no longer than 63 + characters (Unicode codepoints) and can only + contain lowercase letters, numeric characters, + underscores, and dashes. International + characters are allowed. Label values are + optional. Label keys must start with a letter. + """ + + inline_document: gcd_document.Document = proto.Field( + proto.MESSAGE, + number=4, + oneof='source', + message=gcd_document.Document, + ) + raw_document: document_io.RawDocument = proto.Field( + proto.MESSAGE, + number=5, + oneof='source', + message=document_io.RawDocument, + ) + gcs_document: document_io.GcsDocument = proto.Field( + proto.MESSAGE, + number=8, + oneof='source', + message=document_io.GcsDocument, + ) + name: str = proto.Field( + proto.STRING, + number=1, + ) + skip_human_review: bool = proto.Field( + proto.BOOL, + number=3, + ) + field_mask: field_mask_pb2.FieldMask = proto.Field( + proto.MESSAGE, + number=6, + message=field_mask_pb2.FieldMask, + ) + process_options: 'ProcessOptions' = proto.Field( + proto.MESSAGE, + number=7, + message='ProcessOptions', + ) + labels: MutableMapping[str, str] = proto.MapField( + proto.STRING, + proto.STRING, + number=10, + ) + + +class HumanReviewStatus(proto.Message): + r"""The status of human review on a processed document. + + Attributes: + state (google.cloud.documentai_v1.types.HumanReviewStatus.State): + The state of human review on the processing + request. + state_message (str): + A message providing more details about the + human review state. + human_review_operation (str): + The name of the operation triggered by the processed + document. This field is populated only when the + [state][google.cloud.documentai.v1.HumanReviewStatus.state] + is ``HUMAN_REVIEW_IN_PROGRESS``. It has the same response + type and metadata as the long-running operation returned by + [ReviewDocument][google.cloud.documentai.v1.DocumentProcessorService.ReviewDocument]. + """ + class State(proto.Enum): + r"""The final state of human review on a processed document. + + Values: + STATE_UNSPECIFIED (0): + Human review state is unspecified. Most + likely due to an internal error. + SKIPPED (1): + Human review is skipped for the document. + This can happen because human review isn't + enabled on the processor or the processing + request has been set to skip this document. + VALIDATION_PASSED (2): + Human review validation is triggered and + passed, so no review is needed. + IN_PROGRESS (3): + Human review validation is triggered and the + document is under review. + ERROR (4): + Some error happened during triggering human review, see the + [state_message][google.cloud.documentai.v1.HumanReviewStatus.state_message] + for details. + """ + STATE_UNSPECIFIED = 0 + SKIPPED = 1 + VALIDATION_PASSED = 2 + IN_PROGRESS = 3 + ERROR = 4 + + state: State = proto.Field( + proto.ENUM, + number=1, + enum=State, + ) + state_message: str = proto.Field( + proto.STRING, + number=2, + ) + human_review_operation: str = proto.Field( + proto.STRING, + number=3, + ) + + +class ProcessResponse(proto.Message): + r"""Response message for the + [ProcessDocument][google.cloud.documentai.v1.DocumentProcessorService.ProcessDocument] + method. + + Attributes: + document (google.cloud.documentai_v1.types.Document): + The document payload, will populate fields + based on the processor's behavior. + human_review_status (google.cloud.documentai_v1.types.HumanReviewStatus): + The status of human review on the processed + document. + """ + + document: gcd_document.Document = proto.Field( + proto.MESSAGE, + number=1, + message=gcd_document.Document, + ) + human_review_status: 'HumanReviewStatus' = proto.Field( + proto.MESSAGE, + number=3, + message='HumanReviewStatus', + ) + + +class BatchProcessRequest(proto.Message): + r"""Request message for + [BatchProcessDocuments][google.cloud.documentai.v1.DocumentProcessorService.BatchProcessDocuments]. + + Attributes: + name (str): + Required. The resource name of + [Processor][google.cloud.documentai.v1.Processor] or + [ProcessorVersion][google.cloud.documentai.v1.ProcessorVersion]. + Format: + ``projects/{project}/locations/{location}/processors/{processor}``, + or + ``projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processorVersion}`` + input_documents (google.cloud.documentai_v1.types.BatchDocumentsInputConfig): + The input documents for the + [BatchProcessDocuments][google.cloud.documentai.v1.DocumentProcessorService.BatchProcessDocuments] + method. + document_output_config (google.cloud.documentai_v1.types.DocumentOutputConfig): + The output configuration for the + [BatchProcessDocuments][google.cloud.documentai.v1.DocumentProcessorService.BatchProcessDocuments] + method. + skip_human_review (bool): + Whether human review should be skipped for this request. + Default to ``false``. + process_options (google.cloud.documentai_v1.types.ProcessOptions): + Inference-time options for the process API + labels (MutableMapping[str, str]): + Optional. The labels with user-defined + metadata for the request. + Label keys and values can be no longer than 63 + characters (Unicode codepoints) and can only + contain lowercase letters, numeric characters, + underscores, and dashes. International + characters are allowed. Label values are + optional. Label keys must start with a letter. + """ + + name: str = proto.Field( + proto.STRING, + number=1, + ) + input_documents: document_io.BatchDocumentsInputConfig = proto.Field( + proto.MESSAGE, + number=5, + message=document_io.BatchDocumentsInputConfig, + ) + document_output_config: document_io.DocumentOutputConfig = proto.Field( + proto.MESSAGE, + number=6, + message=document_io.DocumentOutputConfig, + ) + skip_human_review: bool = proto.Field( + proto.BOOL, + number=4, + ) + process_options: 'ProcessOptions' = proto.Field( + proto.MESSAGE, + number=7, + message='ProcessOptions', + ) + labels: MutableMapping[str, str] = proto.MapField( + proto.STRING, + proto.STRING, + number=9, + ) + + +class BatchProcessResponse(proto.Message): + r"""Response message for + [BatchProcessDocuments][google.cloud.documentai.v1.DocumentProcessorService.BatchProcessDocuments]. + + """ + + +class BatchProcessMetadata(proto.Message): + r"""The long-running operation metadata for + [BatchProcessDocuments][google.cloud.documentai.v1.DocumentProcessorService.BatchProcessDocuments]. + + Attributes: + state (google.cloud.documentai_v1.types.BatchProcessMetadata.State): + The state of the current batch processing. + state_message (str): + A message providing more details about the + current state of processing. For example, the + error message if the operation is failed. + create_time (google.protobuf.timestamp_pb2.Timestamp): + The creation time of the operation. + update_time (google.protobuf.timestamp_pb2.Timestamp): + The last update time of the operation. + individual_process_statuses (MutableSequence[google.cloud.documentai_v1.types.BatchProcessMetadata.IndividualProcessStatus]): + The list of response details of each + document. + """ + class State(proto.Enum): + r"""Possible states of the batch processing operation. + + Values: + STATE_UNSPECIFIED (0): + The default value. This value is used if the + state is omitted. + WAITING (1): + Request operation is waiting for scheduling. + RUNNING (2): + Request is being processed. + SUCCEEDED (3): + The batch processing completed successfully. + CANCELLING (4): + The batch processing was being cancelled. + CANCELLED (5): + The batch processing was cancelled. + FAILED (6): + The batch processing has failed. + """ + STATE_UNSPECIFIED = 0 + WAITING = 1 + RUNNING = 2 + SUCCEEDED = 3 + CANCELLING = 4 + CANCELLED = 5 + FAILED = 6 + + class IndividualProcessStatus(proto.Message): + r"""The status of a each individual document in the batch + process. + + Attributes: + input_gcs_source (str): + The source of the document, same as the + [input_gcs_source][google.cloud.documentai.v1.BatchProcessMetadata.IndividualProcessStatus.input_gcs_source] + field in the request when the batch process started. + status (google.rpc.status_pb2.Status): + The status processing the document. + output_gcs_destination (str): + The Cloud Storage output destination (in the request as + [DocumentOutputConfig.GcsOutputConfig.gcs_uri][google.cloud.documentai.v1.DocumentOutputConfig.GcsOutputConfig.gcs_uri]) + of the processed document if it was successful, otherwise + empty. + human_review_status (google.cloud.documentai_v1.types.HumanReviewStatus): + The status of human review on the processed + document. + """ + + input_gcs_source: str = proto.Field( + proto.STRING, + number=1, + ) + status: status_pb2.Status = proto.Field( + proto.MESSAGE, + number=2, + message=status_pb2.Status, + ) + output_gcs_destination: str = proto.Field( + proto.STRING, + number=3, + ) + human_review_status: 'HumanReviewStatus' = proto.Field( + proto.MESSAGE, + number=5, + message='HumanReviewStatus', + ) + + state: State = proto.Field( + proto.ENUM, + number=1, + enum=State, + ) + state_message: str = proto.Field( + proto.STRING, + number=2, + ) + create_time: timestamp_pb2.Timestamp = proto.Field( + proto.MESSAGE, + number=3, + message=timestamp_pb2.Timestamp, + ) + update_time: timestamp_pb2.Timestamp = proto.Field( + proto.MESSAGE, + number=4, + message=timestamp_pb2.Timestamp, + ) + individual_process_statuses: MutableSequence[IndividualProcessStatus] = proto.RepeatedField( + proto.MESSAGE, + number=5, + message=IndividualProcessStatus, + ) + + +class FetchProcessorTypesRequest(proto.Message): + r"""Request message for the + [FetchProcessorTypes][google.cloud.documentai.v1.DocumentProcessorService.FetchProcessorTypes] + method. Some processor types may require the project be added to an + allowlist. + + Attributes: + parent (str): + Required. The location of processor types to list. Format: + ``projects/{project}/locations/{location}``. + """ + + parent: str = proto.Field( + proto.STRING, + number=1, + ) + + +class FetchProcessorTypesResponse(proto.Message): + r"""Response message for the + [FetchProcessorTypes][google.cloud.documentai.v1.DocumentProcessorService.FetchProcessorTypes] + method. + + Attributes: + processor_types (MutableSequence[google.cloud.documentai_v1.types.ProcessorType]): + The list of processor types. + """ + + processor_types: MutableSequence[processor_type.ProcessorType] = proto.RepeatedField( + proto.MESSAGE, + number=1, + message=processor_type.ProcessorType, + ) + + +class ListProcessorTypesRequest(proto.Message): + r"""Request message for the + [ListProcessorTypes][google.cloud.documentai.v1.DocumentProcessorService.ListProcessorTypes] + method. Some processor types may require the project be added to an + allowlist. + + Attributes: + parent (str): + Required. The location of processor types to list. Format: + ``projects/{project}/locations/{location}``. + page_size (int): + The maximum number of processor types to return. If + unspecified, at most ``100`` processor types will be + returned. The maximum value is ``500``. Values above ``500`` + will be coerced to ``500``. + page_token (str): + Used to retrieve the next page of results, + empty if at the end of the list. + """ + + parent: str = proto.Field( + proto.STRING, + number=1, + ) + page_size: int = proto.Field( + proto.INT32, + number=2, + ) + page_token: str = proto.Field( + proto.STRING, + number=3, + ) + + +class ListProcessorTypesResponse(proto.Message): + r"""Response message for the + [ListProcessorTypes][google.cloud.documentai.v1.DocumentProcessorService.ListProcessorTypes] + method. + + Attributes: + processor_types (MutableSequence[google.cloud.documentai_v1.types.ProcessorType]): + The processor types. + next_page_token (str): + Points to the next page, otherwise empty. + """ + + @property + def raw_page(self): + return self + + processor_types: MutableSequence[processor_type.ProcessorType] = proto.RepeatedField( + proto.MESSAGE, + number=1, + message=processor_type.ProcessorType, + ) + next_page_token: str = proto.Field( + proto.STRING, + number=2, + ) + + +class ListProcessorsRequest(proto.Message): + r"""Request message for list all processors belongs to a project. + + Attributes: + parent (str): + Required. The parent (project and location) which owns this + collection of Processors. Format: + ``projects/{project}/locations/{location}`` + page_size (int): + The maximum number of processors to return. If unspecified, + at most ``50`` processors will be returned. The maximum + value is ``100``. Values above ``100`` will be coerced to + ``100``. + page_token (str): + We will return the processors sorted by + creation time. The page token will point to the + next processor. + """ + + parent: str = proto.Field( + proto.STRING, + number=1, + ) + page_size: int = proto.Field( + proto.INT32, + number=2, + ) + page_token: str = proto.Field( + proto.STRING, + number=3, + ) + + +class ListProcessorsResponse(proto.Message): + r"""Response message for the + [ListProcessors][google.cloud.documentai.v1.DocumentProcessorService.ListProcessors] + method. + + Attributes: + processors (MutableSequence[google.cloud.documentai_v1.types.Processor]): + The list of processors. + next_page_token (str): + Points to the next processor, otherwise + empty. + """ + + @property + def raw_page(self): + return self + + processors: MutableSequence[gcd_processor.Processor] = proto.RepeatedField( + proto.MESSAGE, + number=1, + message=gcd_processor.Processor, + ) + next_page_token: str = proto.Field( + proto.STRING, + number=2, + ) + + +class GetProcessorTypeRequest(proto.Message): + r"""Request message for the + [GetProcessorType][google.cloud.documentai.v1.DocumentProcessorService.GetProcessorType] + method. + + Attributes: + name (str): + Required. The processor type resource name. + """ + + name: str = proto.Field( + proto.STRING, + number=1, + ) + + +class GetProcessorRequest(proto.Message): + r"""Request message for the + [GetProcessor][google.cloud.documentai.v1.DocumentProcessorService.GetProcessor] + method. + + Attributes: + name (str): + Required. The processor resource name. + """ + + name: str = proto.Field( + proto.STRING, + number=1, + ) + + +class GetProcessorVersionRequest(proto.Message): + r"""Request message for the + [GetProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.GetProcessorVersion] + method. + + Attributes: + name (str): + Required. The processor resource name. + """ + + name: str = proto.Field( + proto.STRING, + number=1, + ) + + +class ListProcessorVersionsRequest(proto.Message): + r"""Request message for list all processor versions belongs to a + processor. + + Attributes: + parent (str): + Required. The parent (project, location and processor) to + list all versions. Format: + ``projects/{project}/locations/{location}/processors/{processor}`` + page_size (int): + The maximum number of processor versions to return. If + unspecified, at most ``10`` processor versions will be + returned. The maximum value is ``20``. Values above ``20`` + will be coerced to ``20``. + page_token (str): + We will return the processor versions sorted + by creation time. The page token will point to + the next processor version. + """ + + parent: str = proto.Field( + proto.STRING, + number=1, + ) + page_size: int = proto.Field( + proto.INT32, + number=2, + ) + page_token: str = proto.Field( + proto.STRING, + number=3, + ) + + +class ListProcessorVersionsResponse(proto.Message): + r"""Response message for the + [ListProcessorVersions][google.cloud.documentai.v1.DocumentProcessorService.ListProcessorVersions] + method. + + Attributes: + processor_versions (MutableSequence[google.cloud.documentai_v1.types.ProcessorVersion]): + The list of processors. + next_page_token (str): + Points to the next processor, otherwise + empty. + """ + + @property + def raw_page(self): + return self + + processor_versions: MutableSequence[gcd_processor.ProcessorVersion] = proto.RepeatedField( + proto.MESSAGE, + number=1, + message=gcd_processor.ProcessorVersion, + ) + next_page_token: str = proto.Field( + proto.STRING, + number=2, + ) + + +class DeleteProcessorVersionRequest(proto.Message): + r"""Request message for the + [DeleteProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.DeleteProcessorVersion] + method. + + Attributes: + name (str): + Required. The processor version resource name + to be deleted. + """ + + name: str = proto.Field( + proto.STRING, + number=1, + ) + + +class DeleteProcessorVersionMetadata(proto.Message): + r"""The long-running operation metadata for the + [DeleteProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.DeleteProcessorVersion] + method. + + Attributes: + common_metadata (google.cloud.documentai_v1.types.CommonOperationMetadata): + The basic metadata of the long-running + operation. + """ + + common_metadata: operation_metadata.CommonOperationMetadata = proto.Field( + proto.MESSAGE, + number=1, + message=operation_metadata.CommonOperationMetadata, + ) + + +class DeployProcessorVersionRequest(proto.Message): + r"""Request message for the + [DeployProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.DeployProcessorVersion] + method. + + Attributes: + name (str): + Required. The processor version resource name + to be deployed. + """ + + name: str = proto.Field( + proto.STRING, + number=1, + ) + + +class DeployProcessorVersionResponse(proto.Message): + r"""Response message for the + [DeployProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.DeployProcessorVersion] + method. + + """ + + +class DeployProcessorVersionMetadata(proto.Message): + r"""The long-running operation metadata for the + [DeployProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.DeployProcessorVersion] + method. + + Attributes: + common_metadata (google.cloud.documentai_v1.types.CommonOperationMetadata): + The basic metadata of the long-running + operation. + """ + + common_metadata: operation_metadata.CommonOperationMetadata = proto.Field( + proto.MESSAGE, + number=1, + message=operation_metadata.CommonOperationMetadata, + ) + + +class UndeployProcessorVersionRequest(proto.Message): + r"""Request message for the + [UndeployProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.UndeployProcessorVersion] + method. + + Attributes: + name (str): + Required. The processor version resource name + to be undeployed. + """ + + name: str = proto.Field( + proto.STRING, + number=1, + ) + + +class UndeployProcessorVersionResponse(proto.Message): + r"""Response message for the + [UndeployProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.UndeployProcessorVersion] + method. + + """ + + +class UndeployProcessorVersionMetadata(proto.Message): + r"""The long-running operation metadata for the + [UndeployProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.UndeployProcessorVersion] + method. + + Attributes: + common_metadata (google.cloud.documentai_v1.types.CommonOperationMetadata): + The basic metadata of the long-running + operation. + """ + + common_metadata: operation_metadata.CommonOperationMetadata = proto.Field( + proto.MESSAGE, + number=1, + message=operation_metadata.CommonOperationMetadata, + ) + + +class CreateProcessorRequest(proto.Message): + r"""Request message for the + [CreateProcessor][google.cloud.documentai.v1.DocumentProcessorService.CreateProcessor] + method. Notice this request is sent to a regionalized backend + service. If the + [ProcessorType][google.cloud.documentai.v1.ProcessorType] isn't + available in that region, the creation fails. + + Attributes: + parent (str): + Required. The parent (project and location) under which to + create the processor. Format: + ``projects/{project}/locations/{location}`` + processor (google.cloud.documentai_v1.types.Processor): + Required. The processor to be created, requires + [Processor.type][google.cloud.documentai.v1.Processor.type] + and + [Processor.display_name][google.cloud.documentai.v1.Processor.display_name] + to be set. Also, the + [Processor.kms_key_name][google.cloud.documentai.v1.Processor.kms_key_name] + field must be set if the processor is under CMEK. + """ + + parent: str = proto.Field( + proto.STRING, + number=1, + ) + processor: gcd_processor.Processor = proto.Field( + proto.MESSAGE, + number=2, + message=gcd_processor.Processor, + ) + + +class DeleteProcessorRequest(proto.Message): + r"""Request message for the + [DeleteProcessor][google.cloud.documentai.v1.DocumentProcessorService.DeleteProcessor] + method. + + Attributes: + name (str): + Required. The processor resource name to be + deleted. + """ + + name: str = proto.Field( + proto.STRING, + number=1, + ) + + +class DeleteProcessorMetadata(proto.Message): + r"""The long-running operation metadata for the + [DeleteProcessor][google.cloud.documentai.v1.DocumentProcessorService.DeleteProcessor] + method. + + Attributes: + common_metadata (google.cloud.documentai_v1.types.CommonOperationMetadata): + The basic metadata of the long-running + operation. + """ + + common_metadata: operation_metadata.CommonOperationMetadata = proto.Field( + proto.MESSAGE, + number=5, + message=operation_metadata.CommonOperationMetadata, + ) + + +class EnableProcessorRequest(proto.Message): + r"""Request message for the + [EnableProcessor][google.cloud.documentai.v1.DocumentProcessorService.EnableProcessor] + method. + + Attributes: + name (str): + Required. The processor resource name to be + enabled. + """ + + name: str = proto.Field( + proto.STRING, + number=1, + ) + + +class EnableProcessorResponse(proto.Message): + r"""Response message for the + [EnableProcessor][google.cloud.documentai.v1.DocumentProcessorService.EnableProcessor] + method. Intentionally empty proto for adding fields in future. + + """ + + +class EnableProcessorMetadata(proto.Message): + r"""The long-running operation metadata for the + [EnableProcessor][google.cloud.documentai.v1.DocumentProcessorService.EnableProcessor] + method. + + Attributes: + common_metadata (google.cloud.documentai_v1.types.CommonOperationMetadata): + The basic metadata of the long-running + operation. + """ + + common_metadata: operation_metadata.CommonOperationMetadata = proto.Field( + proto.MESSAGE, + number=5, + message=operation_metadata.CommonOperationMetadata, + ) + + +class DisableProcessorRequest(proto.Message): + r"""Request message for the + [DisableProcessor][google.cloud.documentai.v1.DocumentProcessorService.DisableProcessor] + method. + + Attributes: + name (str): + Required. The processor resource name to be + disabled. + """ + + name: str = proto.Field( + proto.STRING, + number=1, + ) + + +class DisableProcessorResponse(proto.Message): + r"""Response message for the + [DisableProcessor][google.cloud.documentai.v1.DocumentProcessorService.DisableProcessor] + method. Intentionally empty proto for adding fields in future. + + """ + + +class DisableProcessorMetadata(proto.Message): + r"""The long-running operation metadata for the + [DisableProcessor][google.cloud.documentai.v1.DocumentProcessorService.DisableProcessor] + method. + + Attributes: + common_metadata (google.cloud.documentai_v1.types.CommonOperationMetadata): + The basic metadata of the long-running + operation. + """ + + common_metadata: operation_metadata.CommonOperationMetadata = proto.Field( + proto.MESSAGE, + number=5, + message=operation_metadata.CommonOperationMetadata, + ) + + +class SetDefaultProcessorVersionRequest(proto.Message): + r"""Request message for the + [SetDefaultProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.SetDefaultProcessorVersion] + method. + + Attributes: + processor (str): + Required. The resource name of the + [Processor][google.cloud.documentai.v1.Processor] to change + default version. + default_processor_version (str): + Required. The resource name of child + [ProcessorVersion][google.cloud.documentai.v1.ProcessorVersion] + to use as default. Format: + ``projects/{project}/locations/{location}/processors/{processor}/processorVersions/{version}`` + """ + + processor: str = proto.Field( + proto.STRING, + number=1, + ) + default_processor_version: str = proto.Field( + proto.STRING, + number=2, + ) + + +class SetDefaultProcessorVersionResponse(proto.Message): + r"""Response message for the + [SetDefaultProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.SetDefaultProcessorVersion] + method. + + """ + + +class SetDefaultProcessorVersionMetadata(proto.Message): + r"""The long-running operation metadata for the + [SetDefaultProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.SetDefaultProcessorVersion] + method. + + Attributes: + common_metadata (google.cloud.documentai_v1.types.CommonOperationMetadata): + The basic metadata of the long-running + operation. + """ + + common_metadata: operation_metadata.CommonOperationMetadata = proto.Field( + proto.MESSAGE, + number=1, + message=operation_metadata.CommonOperationMetadata, + ) + + +class TrainProcessorVersionRequest(proto.Message): + r"""Request message for the + [TrainProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.TrainProcessorVersion] + method. + + + .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields + + Attributes: + custom_document_extraction_options (google.cloud.documentai_v1.types.TrainProcessorVersionRequest.CustomDocumentExtractionOptions): + Options to control Custom Document Extraction + (CDE) Processor. + + This field is a member of `oneof`_ ``processor_flags``. + parent (str): + Required. The parent (project, location and processor) to + create the new version for. Format: + ``projects/{project}/locations/{location}/processors/{processor}``. + processor_version (google.cloud.documentai_v1.types.ProcessorVersion): + Required. The processor version to be + created. + document_schema (google.cloud.documentai_v1.types.DocumentSchema): + Optional. The schema the processor version + will be trained with. + input_data (google.cloud.documentai_v1.types.TrainProcessorVersionRequest.InputData): + Optional. The input data used to train the + [ProcessorVersion][google.cloud.documentai.v1.ProcessorVersion]. + base_processor_version (str): + Optional. The processor version to use as a base for + training. This processor version must be a child of + ``parent``. Format: + ``projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processorVersion}``. + """ + + class InputData(proto.Message): + r"""The input data used to train a new + [ProcessorVersion][google.cloud.documentai.v1.ProcessorVersion]. + + Attributes: + training_documents (google.cloud.documentai_v1.types.BatchDocumentsInputConfig): + The documents used for training the new + version. + test_documents (google.cloud.documentai_v1.types.BatchDocumentsInputConfig): + The documents used for testing the trained + version. + """ + + training_documents: document_io.BatchDocumentsInputConfig = proto.Field( + proto.MESSAGE, + number=3, + message=document_io.BatchDocumentsInputConfig, + ) + test_documents: document_io.BatchDocumentsInputConfig = proto.Field( + proto.MESSAGE, + number=4, + message=document_io.BatchDocumentsInputConfig, + ) + + class CustomDocumentExtractionOptions(proto.Message): + r"""Options to control the training of the Custom Document + Extraction (CDE) Processor. + + Attributes: + training_method (google.cloud.documentai_v1.types.TrainProcessorVersionRequest.CustomDocumentExtractionOptions.TrainingMethod): + Training method to use for CDE training. + """ + class TrainingMethod(proto.Enum): + r"""Training Method for CDE. ``TRAINING_METHOD_UNSPECIFIED`` will fall + back to ``MODEL_BASED``. + + Values: + TRAINING_METHOD_UNSPECIFIED (0): + No description available. + MODEL_BASED (1): + No description available. + TEMPLATE_BASED (2): + No description available. + """ + TRAINING_METHOD_UNSPECIFIED = 0 + MODEL_BASED = 1 + TEMPLATE_BASED = 2 + + training_method: 'TrainProcessorVersionRequest.CustomDocumentExtractionOptions.TrainingMethod' = proto.Field( + proto.ENUM, + number=3, + enum='TrainProcessorVersionRequest.CustomDocumentExtractionOptions.TrainingMethod', + ) + + custom_document_extraction_options: CustomDocumentExtractionOptions = proto.Field( + proto.MESSAGE, + number=5, + oneof='processor_flags', + message=CustomDocumentExtractionOptions, + ) + parent: str = proto.Field( + proto.STRING, + number=1, + ) + processor_version: gcd_processor.ProcessorVersion = proto.Field( + proto.MESSAGE, + number=2, + message=gcd_processor.ProcessorVersion, + ) + document_schema: gcd_document_schema.DocumentSchema = proto.Field( + proto.MESSAGE, + number=10, + message=gcd_document_schema.DocumentSchema, + ) + input_data: InputData = proto.Field( + proto.MESSAGE, + number=4, + message=InputData, + ) + base_processor_version: str = proto.Field( + proto.STRING, + number=8, + ) + + +class TrainProcessorVersionResponse(proto.Message): + r"""The response for + [TrainProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.TrainProcessorVersion]. + + Attributes: + processor_version (str): + The resource name of the processor version + produced by training. + """ + + processor_version: str = proto.Field( + proto.STRING, + number=1, + ) + + +class TrainProcessorVersionMetadata(proto.Message): + r"""The metadata that represents a processor version being + created. + + Attributes: + common_metadata (google.cloud.documentai_v1.types.CommonOperationMetadata): + The basic metadata of the long-running + operation. + training_dataset_validation (google.cloud.documentai_v1.types.TrainProcessorVersionMetadata.DatasetValidation): + The training dataset validation information. + test_dataset_validation (google.cloud.documentai_v1.types.TrainProcessorVersionMetadata.DatasetValidation): + The test dataset validation information. + """ + + class DatasetValidation(proto.Message): + r"""The dataset validation information. + This includes any and all errors with documents and the dataset. + + Attributes: + document_error_count (int): + The total number of document errors. + dataset_error_count (int): + The total number of dataset errors. + document_errors (MutableSequence[google.rpc.status_pb2.Status]): + Error information pertaining to specific + documents. A maximum of 10 document errors will + be returned. Any document with errors will not + be used throughout training. + dataset_errors (MutableSequence[google.rpc.status_pb2.Status]): + Error information for the dataset as a whole. + A maximum of 10 dataset errors will be returned. + A single dataset error is terminal for training. + """ + + document_error_count: int = proto.Field( + proto.INT32, + number=3, + ) + dataset_error_count: int = proto.Field( + proto.INT32, + number=4, + ) + document_errors: MutableSequence[status_pb2.Status] = proto.RepeatedField( + proto.MESSAGE, + number=1, + message=status_pb2.Status, + ) + dataset_errors: MutableSequence[status_pb2.Status] = proto.RepeatedField( + proto.MESSAGE, + number=2, + message=status_pb2.Status, + ) + + common_metadata: operation_metadata.CommonOperationMetadata = proto.Field( + proto.MESSAGE, + number=1, + message=operation_metadata.CommonOperationMetadata, + ) + training_dataset_validation: DatasetValidation = proto.Field( + proto.MESSAGE, + number=2, + message=DatasetValidation, + ) + test_dataset_validation: DatasetValidation = proto.Field( + proto.MESSAGE, + number=3, + message=DatasetValidation, + ) + + +class ReviewDocumentRequest(proto.Message): + r"""Request message for the + [ReviewDocument][google.cloud.documentai.v1.DocumentProcessorService.ReviewDocument] + method. + + + .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields + + Attributes: + inline_document (google.cloud.documentai_v1.types.Document): + An inline document proto. + + This field is a member of `oneof`_ ``source``. + human_review_config (str): + Required. The resource name of the + [HumanReviewConfig][google.cloud.documentai.v1.HumanReviewConfig] + that the document will be reviewed with. + enable_schema_validation (bool): + Whether the validation should be performed on + the ad-hoc review request. + priority (google.cloud.documentai_v1.types.ReviewDocumentRequest.Priority): + The priority of the human review task. + document_schema (google.cloud.documentai_v1.types.DocumentSchema): + The document schema of the human review task. + """ + class Priority(proto.Enum): + r"""The priority level of the human review task. + + Values: + DEFAULT (0): + The default priority level. + URGENT (1): + The urgent priority level. The labeling + manager should allocate labeler resource to the + urgent task queue to respect this priority + level. + """ + DEFAULT = 0 + URGENT = 1 + + inline_document: gcd_document.Document = proto.Field( + proto.MESSAGE, + number=4, + oneof='source', + message=gcd_document.Document, + ) + human_review_config: str = proto.Field( + proto.STRING, + number=1, + ) + enable_schema_validation: bool = proto.Field( + proto.BOOL, + number=3, + ) + priority: Priority = proto.Field( + proto.ENUM, + number=5, + enum=Priority, + ) + document_schema: gcd_document_schema.DocumentSchema = proto.Field( + proto.MESSAGE, + number=6, + message=gcd_document_schema.DocumentSchema, + ) + + +class ReviewDocumentResponse(proto.Message): + r"""Response message for the + [ReviewDocument][google.cloud.documentai.v1.DocumentProcessorService.ReviewDocument] + method. + + Attributes: + gcs_destination (str): + The Cloud Storage uri for the human reviewed + document if the review is succeeded. + state (google.cloud.documentai_v1.types.ReviewDocumentResponse.State): + The state of the review operation. + rejection_reason (str): + The reason why the review is rejected by + reviewer. + """ + class State(proto.Enum): + r"""Possible states of the review operation. + + Values: + STATE_UNSPECIFIED (0): + The default value. This value is used if the + state is omitted. + REJECTED (1): + The review operation is rejected by the + reviewer. + SUCCEEDED (2): + The review operation is succeeded. + """ + STATE_UNSPECIFIED = 0 + REJECTED = 1 + SUCCEEDED = 2 + + gcs_destination: str = proto.Field( + proto.STRING, + number=1, + ) + state: State = proto.Field( + proto.ENUM, + number=2, + enum=State, + ) + rejection_reason: str = proto.Field( + proto.STRING, + number=3, + ) + + +class ReviewDocumentOperationMetadata(proto.Message): + r"""The long-running operation metadata for the + [ReviewDocument][google.cloud.documentai.v1.DocumentProcessorService.ReviewDocument] + method. + + Attributes: + common_metadata (google.cloud.documentai_v1.types.CommonOperationMetadata): + The basic metadata of the long-running + operation. + question_id (str): + The Crowd Compute question ID. + """ + + common_metadata: operation_metadata.CommonOperationMetadata = proto.Field( + proto.MESSAGE, + number=5, + message=operation_metadata.CommonOperationMetadata, + ) + question_id: str = proto.Field( + proto.STRING, + number=6, + ) + + +class EvaluateProcessorVersionRequest(proto.Message): + r"""Evaluates the given + [ProcessorVersion][google.cloud.documentai.v1.ProcessorVersion] + against the supplied documents. + + Attributes: + processor_version (str): + Required. The resource name of the + [ProcessorVersion][google.cloud.documentai.v1.ProcessorVersion] + to evaluate. + ``projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processorVersion}`` + evaluation_documents (google.cloud.documentai_v1.types.BatchDocumentsInputConfig): + Optional. The documents used in the + evaluation. If unspecified, use the processor's + dataset as evaluation input. + """ + + processor_version: str = proto.Field( + proto.STRING, + number=1, + ) + evaluation_documents: document_io.BatchDocumentsInputConfig = proto.Field( + proto.MESSAGE, + number=3, + message=document_io.BatchDocumentsInputConfig, + ) + + +class EvaluateProcessorVersionMetadata(proto.Message): + r"""Metadata of the + [EvaluateProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.EvaluateProcessorVersion] + method. + + Attributes: + common_metadata (google.cloud.documentai_v1.types.CommonOperationMetadata): + The basic metadata of the long-running + operation. + """ + + common_metadata: operation_metadata.CommonOperationMetadata = proto.Field( + proto.MESSAGE, + number=1, + message=operation_metadata.CommonOperationMetadata, + ) + + +class EvaluateProcessorVersionResponse(proto.Message): + r"""Response of the + [EvaluateProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.EvaluateProcessorVersion] + method. + + Attributes: + evaluation (str): + The resource name of the created evaluation. + """ + + evaluation: str = proto.Field( + proto.STRING, + number=2, + ) + + +class GetEvaluationRequest(proto.Message): + r"""Retrieves a specific Evaluation. + + Attributes: + name (str): + Required. The resource name of the + [Evaluation][google.cloud.documentai.v1.Evaluation] to get. + ``projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processorVersion}/evaluations/{evaluation}`` + """ + + name: str = proto.Field( + proto.STRING, + number=1, + ) + + +class ListEvaluationsRequest(proto.Message): + r"""Retrieves a list of evaluations for a given + [ProcessorVersion][google.cloud.documentai.v1.ProcessorVersion]. + + Attributes: + parent (str): + Required. The resource name of the + [ProcessorVersion][google.cloud.documentai.v1.ProcessorVersion] + to list evaluations for. + ``projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processorVersion}`` + page_size (int): + The standard list page size. If unspecified, at most ``5`` + evaluations are returned. The maximum value is ``100``. + Values above ``100`` are coerced to ``100``. + page_token (str): + A page token, received from a previous ``ListEvaluations`` + call. Provide this to retrieve the subsequent page. + """ + + parent: str = proto.Field( + proto.STRING, + number=1, + ) + page_size: int = proto.Field( + proto.INT32, + number=2, + ) + page_token: str = proto.Field( + proto.STRING, + number=3, + ) + + +class ListEvaluationsResponse(proto.Message): + r"""The response from ``ListEvaluations``. + + Attributes: + evaluations (MutableSequence[google.cloud.documentai_v1.types.Evaluation]): + The evaluations requested. + next_page_token (str): + A token, which can be sent as ``page_token`` to retrieve the + next page. If this field is omitted, there are no subsequent + pages. + """ + + @property + def raw_page(self): + return self + + evaluations: MutableSequence[gcd_evaluation.Evaluation] = proto.RepeatedField( + proto.MESSAGE, + number=1, + message=gcd_evaluation.Evaluation, + ) + next_page_token: str = proto.Field( + proto.STRING, + number=2, + ) + + +__all__ = tuple(sorted(__protobuf__.manifest)) diff --git a/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/types/document_schema.py b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/types/document_schema.py new file mode 100644 index 000000000000..7cb31bfce6ad --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/types/document_schema.py @@ -0,0 +1,258 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from __future__ import annotations + +from typing import MutableMapping, MutableSequence + +import proto # type: ignore + + +__protobuf__ = proto.module( + package='google.cloud.documentai.v1', + manifest={ + 'DocumentSchema', + }, +) + + +class DocumentSchema(proto.Message): + r"""The schema defines the output of the processed document by a + processor. + + Attributes: + display_name (str): + Display name to show to users. + description (str): + Description of the schema. + entity_types (MutableSequence[google.cloud.documentai_v1.types.DocumentSchema.EntityType]): + Entity types of the schema. + metadata (google.cloud.documentai_v1.types.DocumentSchema.Metadata): + Metadata of the schema. + """ + + class EntityType(proto.Message): + r"""EntityType is the wrapper of a label of the corresponding + model with detailed attributes and limitations for entity-based + processors. Multiple types can also compose a dependency tree to + represent nested types. + + + .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields + + Attributes: + enum_values (google.cloud.documentai_v1.types.DocumentSchema.EntityType.EnumValues): + If specified, lists all the possible values for this entity. + This should not be more than a handful of values. If the + number of values is >10 or could change frequently use the + ``EntityType.value_ontology`` field and specify a list of + all possible values in a value ontology file. + + This field is a member of `oneof`_ ``value_source``. + display_name (str): + User defined name for the type. + name (str): + Name of the type. It must be unique within the schema file + and cannot be a "Common Type". The following naming + conventions are used: + + - Use ``snake_casing``. + - Name matching is case-sensitive. + - Maximum 64 characters. + - Must start with a letter. + - Allowed characters: ASCII letters ``[a-z0-9_-]``. (For + backward compatibility internal infrastructure and + tooling can handle any ascii character.) + - The ``/`` is sometimes used to denote a property of a + type. For example ``line_item/amount``. This convention + is deprecated, but will still be honored for backward + compatibility. + base_types (MutableSequence[str]): + The entity type that this type is derived + from. For now, one and only one should be set. + properties (MutableSequence[google.cloud.documentai_v1.types.DocumentSchema.EntityType.Property]): + Description the nested structure, or + composition of an entity. + """ + + class EnumValues(proto.Message): + r"""Defines the a list of enum values. + + Attributes: + values (MutableSequence[str]): + The individual values that this enum values + type can include. + """ + + values: MutableSequence[str] = proto.RepeatedField( + proto.STRING, + number=1, + ) + + class Property(proto.Message): + r"""Defines properties that can be part of the entity type. + + Attributes: + name (str): + The name of the property. Follows the same + guidelines as the EntityType name. + display_name (str): + User defined name for the property. + value_type (str): + A reference to the value type of the property. This type is + subject to the same conventions as the ``Entity.base_types`` + field. + occurrence_type (google.cloud.documentai_v1.types.DocumentSchema.EntityType.Property.OccurrenceType): + Occurrence type limits the number of + instances an entity type appears in the + document. + """ + class OccurrenceType(proto.Enum): + r"""Types of occurrences of the entity type in the document. This + represents the number of instances, not mentions, of an entity. For + example, a bank statement might only have one ``account_number``, + but this account number can be mentioned in several places on the + document. In this case, the ``account_number`` is considered a + ``REQUIRED_ONCE`` entity type. If, on the other hand, we expect a + bank statement to contain the status of multiple different accounts + for the customers, the occurrence type is set to + ``REQUIRED_MULTIPLE``. + + Values: + OCCURRENCE_TYPE_UNSPECIFIED (0): + Unspecified occurrence type. + OPTIONAL_ONCE (1): + There will be zero or one instance of this + entity type. The same entity instance may be + mentioned multiple times. + OPTIONAL_MULTIPLE (2): + The entity type will appear zero or multiple + times. + REQUIRED_ONCE (3): + The entity type will only appear exactly + once. The same entity instance may be mentioned + multiple times. + REQUIRED_MULTIPLE (4): + The entity type will appear once or more + times. + """ + OCCURRENCE_TYPE_UNSPECIFIED = 0 + OPTIONAL_ONCE = 1 + OPTIONAL_MULTIPLE = 2 + REQUIRED_ONCE = 3 + REQUIRED_MULTIPLE = 4 + + name: str = proto.Field( + proto.STRING, + number=1, + ) + display_name: str = proto.Field( + proto.STRING, + number=6, + ) + value_type: str = proto.Field( + proto.STRING, + number=2, + ) + occurrence_type: 'DocumentSchema.EntityType.Property.OccurrenceType' = proto.Field( + proto.ENUM, + number=3, + enum='DocumentSchema.EntityType.Property.OccurrenceType', + ) + + enum_values: 'DocumentSchema.EntityType.EnumValues' = proto.Field( + proto.MESSAGE, + number=14, + oneof='value_source', + message='DocumentSchema.EntityType.EnumValues', + ) + display_name: str = proto.Field( + proto.STRING, + number=13, + ) + name: str = proto.Field( + proto.STRING, + number=1, + ) + base_types: MutableSequence[str] = proto.RepeatedField( + proto.STRING, + number=2, + ) + properties: MutableSequence['DocumentSchema.EntityType.Property'] = proto.RepeatedField( + proto.MESSAGE, + number=6, + message='DocumentSchema.EntityType.Property', + ) + + class Metadata(proto.Message): + r"""Metadata for global schema behavior. + + Attributes: + document_splitter (bool): + If true, a ``document`` entity type can be applied to + subdocument (splitting). Otherwise, it can only be applied + to the entire document (classification). + document_allow_multiple_labels (bool): + If true, on a given page, there can be multiple ``document`` + annotations covering it. + prefixed_naming_on_properties (bool): + If set, all the nested entities must be + prefixed with the parents. + skip_naming_validation (bool): + If set, we will skip the naming format validation in the + schema. So the string values in + ``DocumentSchema.EntityType.name`` and + ``DocumentSchema.EntityType.Property.name`` will not be + checked. + """ + + document_splitter: bool = proto.Field( + proto.BOOL, + number=1, + ) + document_allow_multiple_labels: bool = proto.Field( + proto.BOOL, + number=2, + ) + prefixed_naming_on_properties: bool = proto.Field( + proto.BOOL, + number=6, + ) + skip_naming_validation: bool = proto.Field( + proto.BOOL, + number=7, + ) + + display_name: str = proto.Field( + proto.STRING, + number=1, + ) + description: str = proto.Field( + proto.STRING, + number=2, + ) + entity_types: MutableSequence[EntityType] = proto.RepeatedField( + proto.MESSAGE, + number=3, + message=EntityType, + ) + metadata: Metadata = proto.Field( + proto.MESSAGE, + number=4, + message=Metadata, + ) + + +__all__ = tuple(sorted(__protobuf__.manifest)) diff --git a/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/types/evaluation.py b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/types/evaluation.py new file mode 100644 index 000000000000..3d65fe5a3a0d --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/types/evaluation.py @@ -0,0 +1,344 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from __future__ import annotations + +from typing import MutableMapping, MutableSequence + +import proto # type: ignore + +from google.protobuf import timestamp_pb2 # type: ignore + + +__protobuf__ = proto.module( + package='google.cloud.documentai.v1', + manifest={ + 'EvaluationReference', + 'Evaluation', + }, +) + + +class EvaluationReference(proto.Message): + r"""Gives a short summary of an evaluation, and links to the + evaluation itself. + + Attributes: + operation (str): + The resource name of the Long Running + Operation for the evaluation. + evaluation (str): + The resource name of the evaluation. + aggregate_metrics (google.cloud.documentai_v1.types.Evaluation.Metrics): + An aggregate of the statistics for the + evaluation with fuzzy matching on. + aggregate_metrics_exact (google.cloud.documentai_v1.types.Evaluation.Metrics): + An aggregate of the statistics for the + evaluation with fuzzy matching off. + """ + + operation: str = proto.Field( + proto.STRING, + number=1, + ) + evaluation: str = proto.Field( + proto.STRING, + number=2, + ) + aggregate_metrics: 'Evaluation.Metrics' = proto.Field( + proto.MESSAGE, + number=4, + message='Evaluation.Metrics', + ) + aggregate_metrics_exact: 'Evaluation.Metrics' = proto.Field( + proto.MESSAGE, + number=5, + message='Evaluation.Metrics', + ) + + +class Evaluation(proto.Message): + r"""An evaluation of a ProcessorVersion's performance. + + Attributes: + name (str): + The resource name of the evaluation. Format: + ``projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processor_version}/evaluations/{evaluation}`` + create_time (google.protobuf.timestamp_pb2.Timestamp): + The time that the evaluation was created. + document_counters (google.cloud.documentai_v1.types.Evaluation.Counters): + Counters for the documents used in the + evaluation. + all_entities_metrics (google.cloud.documentai_v1.types.Evaluation.MultiConfidenceMetrics): + Metrics for all the entities in aggregate. + entity_metrics (MutableMapping[str, google.cloud.documentai_v1.types.Evaluation.MultiConfidenceMetrics]): + Metrics across confidence levels, for + different entities. + kms_key_name (str): + The KMS key name used for encryption. + kms_key_version_name (str): + The KMS key version with which data is + encrypted. + """ + + class Counters(proto.Message): + r"""Evaluation counters for the documents that were used. + + Attributes: + input_documents_count (int): + How many documents were sent for evaluation. + invalid_documents_count (int): + How many documents were not included in the + evaluation as they didn't pass validation. + failed_documents_count (int): + How many documents were not included in the + evaluation as Document AI failed to process + them. + evaluated_documents_count (int): + How many documents were used in the + evaluation. + """ + + input_documents_count: int = proto.Field( + proto.INT32, + number=1, + ) + invalid_documents_count: int = proto.Field( + proto.INT32, + number=2, + ) + failed_documents_count: int = proto.Field( + proto.INT32, + number=3, + ) + evaluated_documents_count: int = proto.Field( + proto.INT32, + number=4, + ) + + class Metrics(proto.Message): + r"""Evaluation metrics, either in aggregate or about a specific + entity. + + Attributes: + precision (float): + The calculated precision. + recall (float): + The calculated recall. + f1_score (float): + The calculated f1 score. + predicted_occurrences_count (int): + The amount of occurrences in predicted + documents. + ground_truth_occurrences_count (int): + The amount of occurrences in ground truth + documents. + predicted_document_count (int): + The amount of documents with a predicted + occurrence. + ground_truth_document_count (int): + The amount of documents with a ground truth + occurrence. + true_positives_count (int): + The amount of true positives. + false_positives_count (int): + The amount of false positives. + false_negatives_count (int): + The amount of false negatives. + total_documents_count (int): + The amount of documents that had an + occurrence of this label. + """ + + precision: float = proto.Field( + proto.FLOAT, + number=1, + ) + recall: float = proto.Field( + proto.FLOAT, + number=2, + ) + f1_score: float = proto.Field( + proto.FLOAT, + number=3, + ) + predicted_occurrences_count: int = proto.Field( + proto.INT32, + number=4, + ) + ground_truth_occurrences_count: int = proto.Field( + proto.INT32, + number=5, + ) + predicted_document_count: int = proto.Field( + proto.INT32, + number=10, + ) + ground_truth_document_count: int = proto.Field( + proto.INT32, + number=11, + ) + true_positives_count: int = proto.Field( + proto.INT32, + number=6, + ) + false_positives_count: int = proto.Field( + proto.INT32, + number=7, + ) + false_negatives_count: int = proto.Field( + proto.INT32, + number=8, + ) + total_documents_count: int = proto.Field( + proto.INT32, + number=9, + ) + + class ConfidenceLevelMetrics(proto.Message): + r"""Evaluations metrics, at a specific confidence level. + + Attributes: + confidence_level (float): + The confidence level. + metrics (google.cloud.documentai_v1.types.Evaluation.Metrics): + The metrics at the specific confidence level. + """ + + confidence_level: float = proto.Field( + proto.FLOAT, + number=1, + ) + metrics: 'Evaluation.Metrics' = proto.Field( + proto.MESSAGE, + number=2, + message='Evaluation.Metrics', + ) + + class MultiConfidenceMetrics(proto.Message): + r"""Metrics across multiple confidence levels. + + Attributes: + confidence_level_metrics (MutableSequence[google.cloud.documentai_v1.types.Evaluation.ConfidenceLevelMetrics]): + Metrics across confidence levels with fuzzy + matching enabled. + confidence_level_metrics_exact (MutableSequence[google.cloud.documentai_v1.types.Evaluation.ConfidenceLevelMetrics]): + Metrics across confidence levels with only + exact matching. + auprc (float): + The calculated area under the precision + recall curve (AUPRC), computed by integrating + over all confidence thresholds. + estimated_calibration_error (float): + The Estimated Calibration Error (ECE) of the + confidence of the predicted entities. + auprc_exact (float): + The AUPRC for metrics with fuzzy matching + disabled, i.e., exact matching only. + estimated_calibration_error_exact (float): + The ECE for the predicted entities with fuzzy + matching disabled, i.e., exact matching only. + metrics_type (google.cloud.documentai_v1.types.Evaluation.MultiConfidenceMetrics.MetricsType): + The metrics type for the label. + """ + class MetricsType(proto.Enum): + r"""A type that determines how metrics should be interpreted. + + Values: + METRICS_TYPE_UNSPECIFIED (0): + The metrics type is unspecified. By default, + metrics without a particular specification are + for leaf entity types (i.e., top-level entity + types without child types, or child types which + are not parent types themselves). + AGGREGATE (1): + Indicates whether metrics for this particular + label type represent an aggregate of metrics for + other types instead of being based on actual + TP/FP/FN values for the label type. Metrics for + parent (i.e., non-leaf) entity types are an + aggregate of metrics for their children. + """ + METRICS_TYPE_UNSPECIFIED = 0 + AGGREGATE = 1 + + confidence_level_metrics: MutableSequence['Evaluation.ConfidenceLevelMetrics'] = proto.RepeatedField( + proto.MESSAGE, + number=1, + message='Evaluation.ConfidenceLevelMetrics', + ) + confidence_level_metrics_exact: MutableSequence['Evaluation.ConfidenceLevelMetrics'] = proto.RepeatedField( + proto.MESSAGE, + number=4, + message='Evaluation.ConfidenceLevelMetrics', + ) + auprc: float = proto.Field( + proto.FLOAT, + number=2, + ) + estimated_calibration_error: float = proto.Field( + proto.FLOAT, + number=3, + ) + auprc_exact: float = proto.Field( + proto.FLOAT, + number=5, + ) + estimated_calibration_error_exact: float = proto.Field( + proto.FLOAT, + number=6, + ) + metrics_type: 'Evaluation.MultiConfidenceMetrics.MetricsType' = proto.Field( + proto.ENUM, + number=7, + enum='Evaluation.MultiConfidenceMetrics.MetricsType', + ) + + name: str = proto.Field( + proto.STRING, + number=1, + ) + create_time: timestamp_pb2.Timestamp = proto.Field( + proto.MESSAGE, + number=2, + message=timestamp_pb2.Timestamp, + ) + document_counters: Counters = proto.Field( + proto.MESSAGE, + number=5, + message=Counters, + ) + all_entities_metrics: MultiConfidenceMetrics = proto.Field( + proto.MESSAGE, + number=3, + message=MultiConfidenceMetrics, + ) + entity_metrics: MutableMapping[str, MultiConfidenceMetrics] = proto.MapField( + proto.STRING, + proto.MESSAGE, + number=4, + message=MultiConfidenceMetrics, + ) + kms_key_name: str = proto.Field( + proto.STRING, + number=6, + ) + kms_key_version_name: str = proto.Field( + proto.STRING, + number=7, + ) + + +__all__ = tuple(sorted(__protobuf__.manifest)) diff --git a/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/types/geometry.py b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/types/geometry.py new file mode 100644 index 000000000000..a9478d1a35bc --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/types/geometry.py @@ -0,0 +1,101 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from __future__ import annotations + +from typing import MutableMapping, MutableSequence + +import proto # type: ignore + + +__protobuf__ = proto.module( + package='google.cloud.documentai.v1', + manifest={ + 'Vertex', + 'NormalizedVertex', + 'BoundingPoly', + }, +) + + +class Vertex(proto.Message): + r"""A vertex represents a 2D point in the image. + NOTE: the vertex coordinates are in the same scale as the + original image. + + Attributes: + x (int): + X coordinate. + y (int): + Y coordinate (starts from the top of the + image). + """ + + x: int = proto.Field( + proto.INT32, + number=1, + ) + y: int = proto.Field( + proto.INT32, + number=2, + ) + + +class NormalizedVertex(proto.Message): + r"""A vertex represents a 2D point in the image. + NOTE: the normalized vertex coordinates are relative to the + original image and range from 0 to 1. + + Attributes: + x (float): + X coordinate. + y (float): + Y coordinate (starts from the top of the + image). + """ + + x: float = proto.Field( + proto.FLOAT, + number=1, + ) + y: float = proto.Field( + proto.FLOAT, + number=2, + ) + + +class BoundingPoly(proto.Message): + r"""A bounding polygon for the detected image annotation. + + Attributes: + vertices (MutableSequence[google.cloud.documentai_v1.types.Vertex]): + The bounding polygon vertices. + normalized_vertices (MutableSequence[google.cloud.documentai_v1.types.NormalizedVertex]): + The bounding polygon normalized vertices. + """ + + vertices: MutableSequence['Vertex'] = proto.RepeatedField( + proto.MESSAGE, + number=1, + message='Vertex', + ) + normalized_vertices: MutableSequence['NormalizedVertex'] = proto.RepeatedField( + proto.MESSAGE, + number=2, + message='NormalizedVertex', + ) + + +__all__ = tuple(sorted(__protobuf__.manifest)) diff --git a/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/types/operation_metadata.py b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/types/operation_metadata.py new file mode 100644 index 000000000000..935d4a9ff25e --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/types/operation_metadata.py @@ -0,0 +1,98 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from __future__ import annotations + +from typing import MutableMapping, MutableSequence + +import proto # type: ignore + +from google.protobuf import timestamp_pb2 # type: ignore + + +__protobuf__ = proto.module( + package='google.cloud.documentai.v1', + manifest={ + 'CommonOperationMetadata', + }, +) + + +class CommonOperationMetadata(proto.Message): + r"""The common metadata for long running operations. + + Attributes: + state (google.cloud.documentai_v1.types.CommonOperationMetadata.State): + The state of the operation. + state_message (str): + A message providing more details about the + current state of processing. + resource (str): + A related resource to this operation. + create_time (google.protobuf.timestamp_pb2.Timestamp): + The creation time of the operation. + update_time (google.protobuf.timestamp_pb2.Timestamp): + The last update time of the operation. + """ + class State(proto.Enum): + r"""State of the longrunning operation. + + Values: + STATE_UNSPECIFIED (0): + Unspecified state. + RUNNING (1): + Operation is still running. + CANCELLING (2): + Operation is being cancelled. + SUCCEEDED (3): + Operation succeeded. + FAILED (4): + Operation failed. + CANCELLED (5): + Operation is cancelled. + """ + STATE_UNSPECIFIED = 0 + RUNNING = 1 + CANCELLING = 2 + SUCCEEDED = 3 + FAILED = 4 + CANCELLED = 5 + + state: State = proto.Field( + proto.ENUM, + number=1, + enum=State, + ) + state_message: str = proto.Field( + proto.STRING, + number=2, + ) + resource: str = proto.Field( + proto.STRING, + number=5, + ) + create_time: timestamp_pb2.Timestamp = proto.Field( + proto.MESSAGE, + number=3, + message=timestamp_pb2.Timestamp, + ) + update_time: timestamp_pb2.Timestamp = proto.Field( + proto.MESSAGE, + number=4, + message=timestamp_pb2.Timestamp, + ) + + +__all__ = tuple(sorted(__protobuf__.manifest)) diff --git a/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/types/processor.py b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/types/processor.py new file mode 100644 index 000000000000..1223fff01138 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/types/processor.py @@ -0,0 +1,344 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from __future__ import annotations + +from typing import MutableMapping, MutableSequence + +import proto # type: ignore + +from google.cloud.documentai_v1.types import document_schema as gcd_document_schema +from google.cloud.documentai_v1.types import evaluation +from google.protobuf import timestamp_pb2 # type: ignore + + +__protobuf__ = proto.module( + package='google.cloud.documentai.v1', + manifest={ + 'ProcessorVersion', + 'ProcessorVersionAlias', + 'Processor', + }, +) + + +class ProcessorVersion(proto.Message): + r"""A processor version is an implementation of a processor. Each + processor can have multiple versions, pretrained by Google + internally or uptrained by the customer. A processor can only + have one default version at a time. Its document-processing + behavior is defined by that version. + + Attributes: + name (str): + The resource name of the processor version. Format: + ``projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processor_version}`` + display_name (str): + The display name of the processor version. + document_schema (google.cloud.documentai_v1.types.DocumentSchema): + The schema of the processor version. + Describes the output. + state (google.cloud.documentai_v1.types.ProcessorVersion.State): + The state of the processor version. + create_time (google.protobuf.timestamp_pb2.Timestamp): + The time the processor version was created. + latest_evaluation (google.cloud.documentai_v1.types.EvaluationReference): + The most recently invoked evaluation for the + processor version. + kms_key_name (str): + The KMS key name used for encryption. + kms_key_version_name (str): + The KMS key version with which data is + encrypted. + google_managed (bool): + Output only. Denotes that this ``ProcessorVersion`` is + managed by Google. + deprecation_info (google.cloud.documentai_v1.types.ProcessorVersion.DeprecationInfo): + If set, information about the eventual + deprecation of this version. + model_type (google.cloud.documentai_v1.types.ProcessorVersion.ModelType): + Output only. The model type of this processor + version. + """ + class State(proto.Enum): + r"""The possible states of the processor version. + + Values: + STATE_UNSPECIFIED (0): + The processor version is in an unspecified + state. + DEPLOYED (1): + The processor version is deployed and can be + used for processing. + DEPLOYING (2): + The processor version is being deployed. + UNDEPLOYED (3): + The processor version is not deployed and + cannot be used for processing. + UNDEPLOYING (4): + The processor version is being undeployed. + CREATING (5): + The processor version is being created. + DELETING (6): + The processor version is being deleted. + FAILED (7): + The processor version failed and is in an + indeterminate state. + IMPORTING (8): + The processor version is being imported. + """ + STATE_UNSPECIFIED = 0 + DEPLOYED = 1 + DEPLOYING = 2 + UNDEPLOYED = 3 + UNDEPLOYING = 4 + CREATING = 5 + DELETING = 6 + FAILED = 7 + IMPORTING = 8 + + class ModelType(proto.Enum): + r"""The possible model types of the processor version. + + Values: + MODEL_TYPE_UNSPECIFIED (0): + The processor version has unspecified model + type. + MODEL_TYPE_GENERATIVE (1): + The processor version has generative model + type. + MODEL_TYPE_CUSTOM (2): + The processor version has custom model type. + """ + MODEL_TYPE_UNSPECIFIED = 0 + MODEL_TYPE_GENERATIVE = 1 + MODEL_TYPE_CUSTOM = 2 + + class DeprecationInfo(proto.Message): + r"""Information about the upcoming deprecation of this processor + version. + + Attributes: + deprecation_time (google.protobuf.timestamp_pb2.Timestamp): + The time at which this processor version will + be deprecated. + replacement_processor_version (str): + If set, the processor version that will be + used as a replacement. + """ + + deprecation_time: timestamp_pb2.Timestamp = proto.Field( + proto.MESSAGE, + number=1, + message=timestamp_pb2.Timestamp, + ) + replacement_processor_version: str = proto.Field( + proto.STRING, + number=2, + ) + + name: str = proto.Field( + proto.STRING, + number=1, + ) + display_name: str = proto.Field( + proto.STRING, + number=2, + ) + document_schema: gcd_document_schema.DocumentSchema = proto.Field( + proto.MESSAGE, + number=12, + message=gcd_document_schema.DocumentSchema, + ) + state: State = proto.Field( + proto.ENUM, + number=6, + enum=State, + ) + create_time: timestamp_pb2.Timestamp = proto.Field( + proto.MESSAGE, + number=7, + message=timestamp_pb2.Timestamp, + ) + latest_evaluation: evaluation.EvaluationReference = proto.Field( + proto.MESSAGE, + number=8, + message=evaluation.EvaluationReference, + ) + kms_key_name: str = proto.Field( + proto.STRING, + number=9, + ) + kms_key_version_name: str = proto.Field( + proto.STRING, + number=10, + ) + google_managed: bool = proto.Field( + proto.BOOL, + number=11, + ) + deprecation_info: DeprecationInfo = proto.Field( + proto.MESSAGE, + number=13, + message=DeprecationInfo, + ) + model_type: ModelType = proto.Field( + proto.ENUM, + number=15, + enum=ModelType, + ) + + +class ProcessorVersionAlias(proto.Message): + r"""Contains the alias and the aliased resource name of processor + version. + + Attributes: + alias (str): + The alias in the form of ``processor_version`` resource + name. + processor_version (str): + The resource name of aliased processor + version. + """ + + alias: str = proto.Field( + proto.STRING, + number=1, + ) + processor_version: str = proto.Field( + proto.STRING, + number=2, + ) + + +class Processor(proto.Message): + r"""The first-class citizen for Document AI. Each processor + defines how to extract structural information from a document. + + Attributes: + name (str): + Output only. Immutable. The resource name of the processor. + Format: + ``projects/{project}/locations/{location}/processors/{processor}`` + type_ (str): + The processor type, such as: ``OCR_PROCESSOR``, + ``INVOICE_PROCESSOR``. To get a list of processor types, see + [FetchProcessorTypes][google.cloud.documentai.v1.DocumentProcessorService.FetchProcessorTypes]. + display_name (str): + The display name of the processor. + state (google.cloud.documentai_v1.types.Processor.State): + Output only. The state of the processor. + default_processor_version (str): + The default processor version. + processor_version_aliases (MutableSequence[google.cloud.documentai_v1.types.ProcessorVersionAlias]): + Output only. The processor version aliases. + process_endpoint (str): + Output only. Immutable. The http endpoint + that can be called to invoke processing. + create_time (google.protobuf.timestamp_pb2.Timestamp): + The time the processor was created. + kms_key_name (str): + The `KMS + key `__ + used for encryption and decryption in CMEK scenarios. + """ + class State(proto.Enum): + r"""The possible states of the processor. + + Values: + STATE_UNSPECIFIED (0): + The processor is in an unspecified state. + ENABLED (1): + The processor is enabled, i.e., has an + enabled version which can currently serve + processing requests and all the feature + dependencies have been successfully initialized. + DISABLED (2): + The processor is disabled. + ENABLING (3): + The processor is being enabled, will become ``ENABLED`` if + successful. + DISABLING (4): + The processor is being disabled, will become ``DISABLED`` if + successful. + CREATING (5): + The processor is being created, will become either + ``ENABLED`` (for successful creation) or ``FAILED`` (for + failed ones). Once a processor is in this state, it can then + be used for document processing, but the feature + dependencies of the processor might not be fully created + yet. + FAILED (6): + The processor failed during creation or + initialization of feature dependencies. The user + should delete the processor and recreate one as + all the functionalities of the processor are + disabled. + DELETING (7): + The processor is being deleted, will be + removed if successful. + """ + STATE_UNSPECIFIED = 0 + ENABLED = 1 + DISABLED = 2 + ENABLING = 3 + DISABLING = 4 + CREATING = 5 + FAILED = 6 + DELETING = 7 + + name: str = proto.Field( + proto.STRING, + number=1, + ) + type_: str = proto.Field( + proto.STRING, + number=2, + ) + display_name: str = proto.Field( + proto.STRING, + number=3, + ) + state: State = proto.Field( + proto.ENUM, + number=4, + enum=State, + ) + default_processor_version: str = proto.Field( + proto.STRING, + number=9, + ) + processor_version_aliases: MutableSequence['ProcessorVersionAlias'] = proto.RepeatedField( + proto.MESSAGE, + number=10, + message='ProcessorVersionAlias', + ) + process_endpoint: str = proto.Field( + proto.STRING, + number=6, + ) + create_time: timestamp_pb2.Timestamp = proto.Field( + proto.MESSAGE, + number=7, + message=timestamp_pb2.Timestamp, + ) + kms_key_name: str = proto.Field( + proto.STRING, + number=8, + ) + + +__all__ = tuple(sorted(__protobuf__.manifest)) diff --git a/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/types/processor_type.py b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/types/processor_type.py new file mode 100644 index 000000000000..da00490329bb --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/google/cloud/documentai_v1/types/processor_type.py @@ -0,0 +1,109 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from __future__ import annotations + +from typing import MutableMapping, MutableSequence + +import proto # type: ignore + +from google.api import launch_stage_pb2 # type: ignore + + +__protobuf__ = proto.module( + package='google.cloud.documentai.v1', + manifest={ + 'ProcessorType', + }, +) + + +class ProcessorType(proto.Message): + r"""A processor type is responsible for performing a certain + document understanding task on a certain type of document. + + Attributes: + name (str): + The resource name of the processor type. Format: + ``projects/{project}/processorTypes/{processor_type}`` + type_ (str): + The processor type, such as: ``OCR_PROCESSOR``, + ``INVOICE_PROCESSOR``. + category (str): + The processor category, used by UI to group + processor types. + available_locations (MutableSequence[google.cloud.documentai_v1.types.ProcessorType.LocationInfo]): + The locations in which this processor is + available. + allow_creation (bool): + Whether the processor type allows creation. + If true, users can create a processor of this + processor type. Otherwise, users need to request + access. + launch_stage (google.api.launch_stage_pb2.LaunchStage): + Launch stage of the processor type + sample_document_uris (MutableSequence[str]): + A set of Cloud Storage URIs of sample + documents for this processor. + """ + + class LocationInfo(proto.Message): + r"""The location information about where the processor is + available. + + Attributes: + location_id (str): + The location ID. For supported locations, refer to `regional + and multi-regional support `__. + """ + + location_id: str = proto.Field( + proto.STRING, + number=1, + ) + + name: str = proto.Field( + proto.STRING, + number=1, + ) + type_: str = proto.Field( + proto.STRING, + number=2, + ) + category: str = proto.Field( + proto.STRING, + number=3, + ) + available_locations: MutableSequence[LocationInfo] = proto.RepeatedField( + proto.MESSAGE, + number=4, + message=LocationInfo, + ) + allow_creation: bool = proto.Field( + proto.BOOL, + number=6, + ) + launch_stage: launch_stage_pb2.LaunchStage = proto.Field( + proto.ENUM, + number=8, + enum=launch_stage_pb2.LaunchStage, + ) + sample_document_uris: MutableSequence[str] = proto.RepeatedField( + proto.STRING, + number=9, + ) + + +__all__ = tuple(sorted(__protobuf__.manifest)) diff --git a/owl-bot-staging/google-cloud-documentai/v1/mypy.ini b/owl-bot-staging/google-cloud-documentai/v1/mypy.ini new file mode 100644 index 000000000000..574c5aed394b --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/mypy.ini @@ -0,0 +1,3 @@ +[mypy] +python_version = 3.7 +namespace_packages = True diff --git a/owl-bot-staging/google-cloud-documentai/v1/noxfile.py b/owl-bot-staging/google-cloud-documentai/v1/noxfile.py new file mode 100644 index 000000000000..aa678017e991 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/noxfile.py @@ -0,0 +1,253 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import os +import pathlib +import re +import shutil +import subprocess +import sys + + +import nox # type: ignore + +ALL_PYTHON = [ + "3.7", + "3.8", + "3.9", + "3.10", + "3.11", + "3.12" +] + +CURRENT_DIRECTORY = pathlib.Path(__file__).parent.absolute() + +LOWER_BOUND_CONSTRAINTS_FILE = CURRENT_DIRECTORY / "constraints.txt" +PACKAGE_NAME = 'google-cloud-documentai' + +BLACK_VERSION = "black==22.3.0" +BLACK_PATHS = ["docs", "google", "tests", "samples", "noxfile.py", "setup.py"] +DEFAULT_PYTHON_VERSION = "3.12" + +nox.sessions = [ + "unit", + "cover", + "mypy", + "check_lower_bounds" + # exclude update_lower_bounds from default + "docs", + "blacken", + "lint", + "prerelease_deps", +] + +@nox.session(python=ALL_PYTHON) +def unit(session): + """Run the unit test suite.""" + + session.install('coverage', 'pytest', 'pytest-cov', 'pytest-asyncio', 'asyncmock; python_version < "3.8"') + session.install('-e', '.') + + session.run( + 'py.test', + '--quiet', + '--cov=google/cloud/documentai_v1/', + '--cov=tests/', + '--cov-config=.coveragerc', + '--cov-report=term', + '--cov-report=html', + os.path.join('tests', 'unit', ''.join(session.posargs)) + ) + +@nox.session(python=ALL_PYTHON[-1]) +def prerelease_deps(session): + """Run the unit test suite against pre-release versions of dependencies.""" + + # Install test environment dependencies + session.install('coverage', 'pytest', 'pytest-cov', 'pytest-asyncio', 'asyncmock; python_version < "3.8"') + + # Install the package without dependencies + session.install('-e', '.', '--no-deps') + + # We test the minimum dependency versions using the minimum Python + # version so the lowest python runtime that we test has a corresponding constraints + # file, located at `testing/constraints--.txt`, which contains all of the + # dependencies and extras. + with open( + CURRENT_DIRECTORY + / "testing" + / f"constraints-{ALL_PYTHON[0]}.txt", + encoding="utf-8", + ) as constraints_file: + constraints_text = constraints_file.read() + + # Ignore leading whitespace and comment lines. + constraints_deps = [ + match.group(1) + for match in re.finditer( + r"^\s*(\S+)(?===\S+)", constraints_text, flags=re.MULTILINE + ) + ] + + session.install(*constraints_deps) + + prerel_deps = [ + "googleapis-common-protos", + "google-api-core", + "google-auth", + "grpcio", + "grpcio-status", + "protobuf", + "proto-plus", + ] + + for dep in prerel_deps: + session.install("--pre", "--no-deps", "--upgrade", dep) + + # Remaining dependencies + other_deps = [ + "requests", + ] + session.install(*other_deps) + + # Print out prerelease package versions + + session.run("python", "-c", "import google.api_core; print(google.api_core.__version__)") + session.run("python", "-c", "import google.auth; print(google.auth.__version__)") + session.run("python", "-c", "import grpc; print(grpc.__version__)") + session.run( + "python", "-c", "import google.protobuf; print(google.protobuf.__version__)" + ) + session.run( + "python", "-c", "import proto; print(proto.__version__)" + ) + + session.run( + 'py.test', + '--quiet', + '--cov=google/cloud/documentai_v1/', + '--cov=tests/', + '--cov-config=.coveragerc', + '--cov-report=term', + '--cov-report=html', + os.path.join('tests', 'unit', ''.join(session.posargs)) + ) + + +@nox.session(python=DEFAULT_PYTHON_VERSION) +def cover(session): + """Run the final coverage report. + This outputs the coverage report aggregating coverage from the unit + test runs (not system test runs), and then erases coverage data. + """ + session.install("coverage", "pytest-cov") + session.run("coverage", "report", "--show-missing", "--fail-under=100") + + session.run("coverage", "erase") + + +@nox.session(python=ALL_PYTHON) +def mypy(session): + """Run the type checker.""" + session.install( + 'mypy', + 'types-requests', + 'types-protobuf' + ) + session.install('.') + session.run( + 'mypy', + '-p', + 'google', + ) + + +@nox.session +def update_lower_bounds(session): + """Update lower bounds in constraints.txt to match setup.py""" + session.install('google-cloud-testutils') + session.install('.') + + session.run( + 'lower-bound-checker', + 'update', + '--package-name', + PACKAGE_NAME, + '--constraints-file', + str(LOWER_BOUND_CONSTRAINTS_FILE), + ) + + +@nox.session +def check_lower_bounds(session): + """Check lower bounds in setup.py are reflected in constraints file""" + session.install('google-cloud-testutils') + session.install('.') + + session.run( + 'lower-bound-checker', + 'check', + '--package-name', + PACKAGE_NAME, + '--constraints-file', + str(LOWER_BOUND_CONSTRAINTS_FILE), + ) + +@nox.session(python=DEFAULT_PYTHON_VERSION) +def docs(session): + """Build the docs for this library.""" + + session.install("-e", ".") + session.install("sphinx==7.0.1", "alabaster", "recommonmark") + + shutil.rmtree(os.path.join("docs", "_build"), ignore_errors=True) + session.run( + "sphinx-build", + "-W", # warnings as errors + "-T", # show full traceback on exception + "-N", # no colors + "-b", + "html", + "-d", + os.path.join("docs", "_build", "doctrees", ""), + os.path.join("docs", ""), + os.path.join("docs", "_build", "html", ""), + ) + + +@nox.session(python=DEFAULT_PYTHON_VERSION) +def lint(session): + """Run linters. + + Returns a failure if the linters find linting errors or sufficiently + serious code quality issues. + """ + session.install("flake8", BLACK_VERSION) + session.run( + "black", + "--check", + *BLACK_PATHS, + ) + session.run("flake8", "google", "tests", "samples") + + +@nox.session(python=DEFAULT_PYTHON_VERSION) +def blacken(session): + """Run black. Format code to uniform standard.""" + session.install(BLACK_VERSION) + session.run( + "black", + *BLACK_PATHS, + ) diff --git a/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_batch_process_documents_async.py b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_batch_process_documents_async.py new file mode 100644 index 000000000000..838191ca2a19 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_batch_process_documents_async.py @@ -0,0 +1,56 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for BatchProcessDocuments +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1_generated_DocumentProcessorService_BatchProcessDocuments_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1 + + +async def sample_batch_process_documents(): + # Create a client + client = documentai_v1.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1.BatchProcessRequest( + name="name_value", + ) + + # Make the request + operation = client.batch_process_documents(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + +# [END documentai_v1_generated_DocumentProcessorService_BatchProcessDocuments_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_batch_process_documents_sync.py b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_batch_process_documents_sync.py new file mode 100644 index 000000000000..7e31716e1981 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_batch_process_documents_sync.py @@ -0,0 +1,56 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for BatchProcessDocuments +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1_generated_DocumentProcessorService_BatchProcessDocuments_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1 + + +def sample_batch_process_documents(): + # Create a client + client = documentai_v1.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1.BatchProcessRequest( + name="name_value", + ) + + # Make the request + operation = client.batch_process_documents(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + +# [END documentai_v1_generated_DocumentProcessorService_BatchProcessDocuments_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_create_processor_async.py b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_create_processor_async.py new file mode 100644 index 000000000000..aec35df3641a --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_create_processor_async.py @@ -0,0 +1,52 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for CreateProcessor +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1_generated_DocumentProcessorService_CreateProcessor_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1 + + +async def sample_create_processor(): + # Create a client + client = documentai_v1.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1.CreateProcessorRequest( + parent="parent_value", + ) + + # Make the request + response = await client.create_processor(request=request) + + # Handle the response + print(response) + +# [END documentai_v1_generated_DocumentProcessorService_CreateProcessor_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_create_processor_sync.py b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_create_processor_sync.py new file mode 100644 index 000000000000..8be9b136d393 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_create_processor_sync.py @@ -0,0 +1,52 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for CreateProcessor +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1_generated_DocumentProcessorService_CreateProcessor_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1 + + +def sample_create_processor(): + # Create a client + client = documentai_v1.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1.CreateProcessorRequest( + parent="parent_value", + ) + + # Make the request + response = client.create_processor(request=request) + + # Handle the response + print(response) + +# [END documentai_v1_generated_DocumentProcessorService_CreateProcessor_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_delete_processor_async.py b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_delete_processor_async.py new file mode 100644 index 000000000000..b0ec37cd2623 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_delete_processor_async.py @@ -0,0 +1,56 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for DeleteProcessor +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1_generated_DocumentProcessorService_DeleteProcessor_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1 + + +async def sample_delete_processor(): + # Create a client + client = documentai_v1.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1.DeleteProcessorRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_processor(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + +# [END documentai_v1_generated_DocumentProcessorService_DeleteProcessor_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_delete_processor_sync.py b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_delete_processor_sync.py new file mode 100644 index 000000000000..6246e2b10b90 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_delete_processor_sync.py @@ -0,0 +1,56 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for DeleteProcessor +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1_generated_DocumentProcessorService_DeleteProcessor_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1 + + +def sample_delete_processor(): + # Create a client + client = documentai_v1.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1.DeleteProcessorRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_processor(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + +# [END documentai_v1_generated_DocumentProcessorService_DeleteProcessor_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_delete_processor_version_async.py b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_delete_processor_version_async.py new file mode 100644 index 000000000000..cf7011fd0c66 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_delete_processor_version_async.py @@ -0,0 +1,56 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for DeleteProcessorVersion +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1_generated_DocumentProcessorService_DeleteProcessorVersion_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1 + + +async def sample_delete_processor_version(): + # Create a client + client = documentai_v1.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1.DeleteProcessorVersionRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + +# [END documentai_v1_generated_DocumentProcessorService_DeleteProcessorVersion_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_delete_processor_version_sync.py b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_delete_processor_version_sync.py new file mode 100644 index 000000000000..b1bf9bc62cfc --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_delete_processor_version_sync.py @@ -0,0 +1,56 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for DeleteProcessorVersion +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1_generated_DocumentProcessorService_DeleteProcessorVersion_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1 + + +def sample_delete_processor_version(): + # Create a client + client = documentai_v1.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1.DeleteProcessorVersionRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + +# [END documentai_v1_generated_DocumentProcessorService_DeleteProcessorVersion_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_deploy_processor_version_async.py b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_deploy_processor_version_async.py new file mode 100644 index 000000000000..fd799c9a00a2 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_deploy_processor_version_async.py @@ -0,0 +1,56 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for DeployProcessorVersion +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1_generated_DocumentProcessorService_DeployProcessorVersion_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1 + + +async def sample_deploy_processor_version(): + # Create a client + client = documentai_v1.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1.DeployProcessorVersionRequest( + name="name_value", + ) + + # Make the request + operation = client.deploy_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + +# [END documentai_v1_generated_DocumentProcessorService_DeployProcessorVersion_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_deploy_processor_version_sync.py b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_deploy_processor_version_sync.py new file mode 100644 index 000000000000..caa1d64c1116 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_deploy_processor_version_sync.py @@ -0,0 +1,56 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for DeployProcessorVersion +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1_generated_DocumentProcessorService_DeployProcessorVersion_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1 + + +def sample_deploy_processor_version(): + # Create a client + client = documentai_v1.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1.DeployProcessorVersionRequest( + name="name_value", + ) + + # Make the request + operation = client.deploy_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + +# [END documentai_v1_generated_DocumentProcessorService_DeployProcessorVersion_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_disable_processor_async.py b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_disable_processor_async.py new file mode 100644 index 000000000000..88d5c359e296 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_disable_processor_async.py @@ -0,0 +1,56 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for DisableProcessor +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1_generated_DocumentProcessorService_DisableProcessor_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1 + + +async def sample_disable_processor(): + # Create a client + client = documentai_v1.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1.DisableProcessorRequest( + name="name_value", + ) + + # Make the request + operation = client.disable_processor(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + +# [END documentai_v1_generated_DocumentProcessorService_DisableProcessor_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_disable_processor_sync.py b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_disable_processor_sync.py new file mode 100644 index 000000000000..4df7cf6ce765 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_disable_processor_sync.py @@ -0,0 +1,56 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for DisableProcessor +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1_generated_DocumentProcessorService_DisableProcessor_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1 + + +def sample_disable_processor(): + # Create a client + client = documentai_v1.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1.DisableProcessorRequest( + name="name_value", + ) + + # Make the request + operation = client.disable_processor(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + +# [END documentai_v1_generated_DocumentProcessorService_DisableProcessor_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_enable_processor_async.py b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_enable_processor_async.py new file mode 100644 index 000000000000..dbde55cf1ea5 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_enable_processor_async.py @@ -0,0 +1,56 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for EnableProcessor +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1_generated_DocumentProcessorService_EnableProcessor_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1 + + +async def sample_enable_processor(): + # Create a client + client = documentai_v1.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1.EnableProcessorRequest( + name="name_value", + ) + + # Make the request + operation = client.enable_processor(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + +# [END documentai_v1_generated_DocumentProcessorService_EnableProcessor_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_enable_processor_sync.py b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_enable_processor_sync.py new file mode 100644 index 000000000000..a649f984ef47 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_enable_processor_sync.py @@ -0,0 +1,56 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for EnableProcessor +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1_generated_DocumentProcessorService_EnableProcessor_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1 + + +def sample_enable_processor(): + # Create a client + client = documentai_v1.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1.EnableProcessorRequest( + name="name_value", + ) + + # Make the request + operation = client.enable_processor(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + +# [END documentai_v1_generated_DocumentProcessorService_EnableProcessor_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_evaluate_processor_version_async.py b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_evaluate_processor_version_async.py new file mode 100644 index 000000000000..4ee87bfff151 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_evaluate_processor_version_async.py @@ -0,0 +1,56 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for EvaluateProcessorVersion +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1_generated_DocumentProcessorService_EvaluateProcessorVersion_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1 + + +async def sample_evaluate_processor_version(): + # Create a client + client = documentai_v1.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1.EvaluateProcessorVersionRequest( + processor_version="processor_version_value", + ) + + # Make the request + operation = client.evaluate_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + +# [END documentai_v1_generated_DocumentProcessorService_EvaluateProcessorVersion_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_evaluate_processor_version_sync.py b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_evaluate_processor_version_sync.py new file mode 100644 index 000000000000..aacabdc2234e --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_evaluate_processor_version_sync.py @@ -0,0 +1,56 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for EvaluateProcessorVersion +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1_generated_DocumentProcessorService_EvaluateProcessorVersion_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1 + + +def sample_evaluate_processor_version(): + # Create a client + client = documentai_v1.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1.EvaluateProcessorVersionRequest( + processor_version="processor_version_value", + ) + + # Make the request + operation = client.evaluate_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + +# [END documentai_v1_generated_DocumentProcessorService_EvaluateProcessorVersion_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_fetch_processor_types_async.py b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_fetch_processor_types_async.py new file mode 100644 index 000000000000..921449a0f514 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_fetch_processor_types_async.py @@ -0,0 +1,52 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for FetchProcessorTypes +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1_generated_DocumentProcessorService_FetchProcessorTypes_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1 + + +async def sample_fetch_processor_types(): + # Create a client + client = documentai_v1.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1.FetchProcessorTypesRequest( + parent="parent_value", + ) + + # Make the request + response = await client.fetch_processor_types(request=request) + + # Handle the response + print(response) + +# [END documentai_v1_generated_DocumentProcessorService_FetchProcessorTypes_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_fetch_processor_types_sync.py b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_fetch_processor_types_sync.py new file mode 100644 index 000000000000..bb003303736b --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_fetch_processor_types_sync.py @@ -0,0 +1,52 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for FetchProcessorTypes +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1_generated_DocumentProcessorService_FetchProcessorTypes_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1 + + +def sample_fetch_processor_types(): + # Create a client + client = documentai_v1.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1.FetchProcessorTypesRequest( + parent="parent_value", + ) + + # Make the request + response = client.fetch_processor_types(request=request) + + # Handle the response + print(response) + +# [END documentai_v1_generated_DocumentProcessorService_FetchProcessorTypes_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_get_evaluation_async.py b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_get_evaluation_async.py new file mode 100644 index 000000000000..d7741ddc902d --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_get_evaluation_async.py @@ -0,0 +1,52 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for GetEvaluation +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1_generated_DocumentProcessorService_GetEvaluation_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1 + + +async def sample_get_evaluation(): + # Create a client + client = documentai_v1.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1.GetEvaluationRequest( + name="name_value", + ) + + # Make the request + response = await client.get_evaluation(request=request) + + # Handle the response + print(response) + +# [END documentai_v1_generated_DocumentProcessorService_GetEvaluation_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_get_evaluation_sync.py b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_get_evaluation_sync.py new file mode 100644 index 000000000000..c8e46af881b7 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_get_evaluation_sync.py @@ -0,0 +1,52 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for GetEvaluation +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1_generated_DocumentProcessorService_GetEvaluation_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1 + + +def sample_get_evaluation(): + # Create a client + client = documentai_v1.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1.GetEvaluationRequest( + name="name_value", + ) + + # Make the request + response = client.get_evaluation(request=request) + + # Handle the response + print(response) + +# [END documentai_v1_generated_DocumentProcessorService_GetEvaluation_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_get_processor_async.py b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_get_processor_async.py new file mode 100644 index 000000000000..0e94d1f0b6f6 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_get_processor_async.py @@ -0,0 +1,52 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for GetProcessor +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1_generated_DocumentProcessorService_GetProcessor_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1 + + +async def sample_get_processor(): + # Create a client + client = documentai_v1.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1.GetProcessorRequest( + name="name_value", + ) + + # Make the request + response = await client.get_processor(request=request) + + # Handle the response + print(response) + +# [END documentai_v1_generated_DocumentProcessorService_GetProcessor_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_get_processor_sync.py b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_get_processor_sync.py new file mode 100644 index 000000000000..2a84758df135 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_get_processor_sync.py @@ -0,0 +1,52 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for GetProcessor +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1_generated_DocumentProcessorService_GetProcessor_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1 + + +def sample_get_processor(): + # Create a client + client = documentai_v1.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1.GetProcessorRequest( + name="name_value", + ) + + # Make the request + response = client.get_processor(request=request) + + # Handle the response + print(response) + +# [END documentai_v1_generated_DocumentProcessorService_GetProcessor_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_get_processor_type_async.py b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_get_processor_type_async.py new file mode 100644 index 000000000000..24e2340ce417 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_get_processor_type_async.py @@ -0,0 +1,52 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for GetProcessorType +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1_generated_DocumentProcessorService_GetProcessorType_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1 + + +async def sample_get_processor_type(): + # Create a client + client = documentai_v1.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1.GetProcessorTypeRequest( + name="name_value", + ) + + # Make the request + response = await client.get_processor_type(request=request) + + # Handle the response + print(response) + +# [END documentai_v1_generated_DocumentProcessorService_GetProcessorType_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_get_processor_type_sync.py b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_get_processor_type_sync.py new file mode 100644 index 000000000000..05c47d3e2c7d --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_get_processor_type_sync.py @@ -0,0 +1,52 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for GetProcessorType +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1_generated_DocumentProcessorService_GetProcessorType_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1 + + +def sample_get_processor_type(): + # Create a client + client = documentai_v1.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1.GetProcessorTypeRequest( + name="name_value", + ) + + # Make the request + response = client.get_processor_type(request=request) + + # Handle the response + print(response) + +# [END documentai_v1_generated_DocumentProcessorService_GetProcessorType_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_get_processor_version_async.py b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_get_processor_version_async.py new file mode 100644 index 000000000000..a6b8113fe52e --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_get_processor_version_async.py @@ -0,0 +1,52 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for GetProcessorVersion +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1_generated_DocumentProcessorService_GetProcessorVersion_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1 + + +async def sample_get_processor_version(): + # Create a client + client = documentai_v1.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1.GetProcessorVersionRequest( + name="name_value", + ) + + # Make the request + response = await client.get_processor_version(request=request) + + # Handle the response + print(response) + +# [END documentai_v1_generated_DocumentProcessorService_GetProcessorVersion_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_get_processor_version_sync.py b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_get_processor_version_sync.py new file mode 100644 index 000000000000..b4adff93f1c2 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_get_processor_version_sync.py @@ -0,0 +1,52 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for GetProcessorVersion +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1_generated_DocumentProcessorService_GetProcessorVersion_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1 + + +def sample_get_processor_version(): + # Create a client + client = documentai_v1.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1.GetProcessorVersionRequest( + name="name_value", + ) + + # Make the request + response = client.get_processor_version(request=request) + + # Handle the response + print(response) + +# [END documentai_v1_generated_DocumentProcessorService_GetProcessorVersion_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_list_evaluations_async.py b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_list_evaluations_async.py new file mode 100644 index 000000000000..fc6f9a098001 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_list_evaluations_async.py @@ -0,0 +1,53 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ListEvaluations +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1_generated_DocumentProcessorService_ListEvaluations_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1 + + +async def sample_list_evaluations(): + # Create a client + client = documentai_v1.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1.ListEvaluationsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_evaluations(request=request) + + # Handle the response + async for response in page_result: + print(response) + +# [END documentai_v1_generated_DocumentProcessorService_ListEvaluations_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_list_evaluations_sync.py b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_list_evaluations_sync.py new file mode 100644 index 000000000000..55d6530f7e5d --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_list_evaluations_sync.py @@ -0,0 +1,53 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ListEvaluations +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1_generated_DocumentProcessorService_ListEvaluations_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1 + + +def sample_list_evaluations(): + # Create a client + client = documentai_v1.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1.ListEvaluationsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_evaluations(request=request) + + # Handle the response + for response in page_result: + print(response) + +# [END documentai_v1_generated_DocumentProcessorService_ListEvaluations_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_list_processor_types_async.py b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_list_processor_types_async.py new file mode 100644 index 000000000000..59db2176472e --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_list_processor_types_async.py @@ -0,0 +1,53 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ListProcessorTypes +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1_generated_DocumentProcessorService_ListProcessorTypes_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1 + + +async def sample_list_processor_types(): + # Create a client + client = documentai_v1.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1.ListProcessorTypesRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_processor_types(request=request) + + # Handle the response + async for response in page_result: + print(response) + +# [END documentai_v1_generated_DocumentProcessorService_ListProcessorTypes_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_list_processor_types_sync.py b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_list_processor_types_sync.py new file mode 100644 index 000000000000..497c834d4301 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_list_processor_types_sync.py @@ -0,0 +1,53 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ListProcessorTypes +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1_generated_DocumentProcessorService_ListProcessorTypes_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1 + + +def sample_list_processor_types(): + # Create a client + client = documentai_v1.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1.ListProcessorTypesRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_processor_types(request=request) + + # Handle the response + for response in page_result: + print(response) + +# [END documentai_v1_generated_DocumentProcessorService_ListProcessorTypes_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_list_processor_versions_async.py b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_list_processor_versions_async.py new file mode 100644 index 000000000000..c46b9eda02e8 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_list_processor_versions_async.py @@ -0,0 +1,53 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ListProcessorVersions +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1_generated_DocumentProcessorService_ListProcessorVersions_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1 + + +async def sample_list_processor_versions(): + # Create a client + client = documentai_v1.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1.ListProcessorVersionsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_processor_versions(request=request) + + # Handle the response + async for response in page_result: + print(response) + +# [END documentai_v1_generated_DocumentProcessorService_ListProcessorVersions_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_list_processor_versions_sync.py b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_list_processor_versions_sync.py new file mode 100644 index 000000000000..3677d64d7eef --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_list_processor_versions_sync.py @@ -0,0 +1,53 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ListProcessorVersions +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1_generated_DocumentProcessorService_ListProcessorVersions_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1 + + +def sample_list_processor_versions(): + # Create a client + client = documentai_v1.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1.ListProcessorVersionsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_processor_versions(request=request) + + # Handle the response + for response in page_result: + print(response) + +# [END documentai_v1_generated_DocumentProcessorService_ListProcessorVersions_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_list_processors_async.py b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_list_processors_async.py new file mode 100644 index 000000000000..ac4857318d63 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_list_processors_async.py @@ -0,0 +1,53 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ListProcessors +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1_generated_DocumentProcessorService_ListProcessors_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1 + + +async def sample_list_processors(): + # Create a client + client = documentai_v1.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1.ListProcessorsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_processors(request=request) + + # Handle the response + async for response in page_result: + print(response) + +# [END documentai_v1_generated_DocumentProcessorService_ListProcessors_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_list_processors_sync.py b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_list_processors_sync.py new file mode 100644 index 000000000000..3f1594a63212 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_list_processors_sync.py @@ -0,0 +1,53 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ListProcessors +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1_generated_DocumentProcessorService_ListProcessors_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1 + + +def sample_list_processors(): + # Create a client + client = documentai_v1.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1.ListProcessorsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_processors(request=request) + + # Handle the response + for response in page_result: + print(response) + +# [END documentai_v1_generated_DocumentProcessorService_ListProcessors_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_process_document_async.py b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_process_document_async.py new file mode 100644 index 000000000000..b721e4bea44f --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_process_document_async.py @@ -0,0 +1,56 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ProcessDocument +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1_generated_DocumentProcessorService_ProcessDocument_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1 + + +async def sample_process_document(): + # Create a client + client = documentai_v1.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + inline_document = documentai_v1.Document() + inline_document.uri = "uri_value" + + request = documentai_v1.ProcessRequest( + inline_document=inline_document, + name="name_value", + ) + + # Make the request + response = await client.process_document(request=request) + + # Handle the response + print(response) + +# [END documentai_v1_generated_DocumentProcessorService_ProcessDocument_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_process_document_sync.py b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_process_document_sync.py new file mode 100644 index 000000000000..eb18086da3f4 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_process_document_sync.py @@ -0,0 +1,56 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ProcessDocument +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1_generated_DocumentProcessorService_ProcessDocument_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1 + + +def sample_process_document(): + # Create a client + client = documentai_v1.DocumentProcessorServiceClient() + + # Initialize request argument(s) + inline_document = documentai_v1.Document() + inline_document.uri = "uri_value" + + request = documentai_v1.ProcessRequest( + inline_document=inline_document, + name="name_value", + ) + + # Make the request + response = client.process_document(request=request) + + # Handle the response + print(response) + +# [END documentai_v1_generated_DocumentProcessorService_ProcessDocument_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_review_document_async.py b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_review_document_async.py new file mode 100644 index 000000000000..3ff5c1b69e3e --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_review_document_async.py @@ -0,0 +1,60 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ReviewDocument +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1_generated_DocumentProcessorService_ReviewDocument_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1 + + +async def sample_review_document(): + # Create a client + client = documentai_v1.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + inline_document = documentai_v1.Document() + inline_document.uri = "uri_value" + + request = documentai_v1.ReviewDocumentRequest( + inline_document=inline_document, + human_review_config="human_review_config_value", + ) + + # Make the request + operation = client.review_document(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + +# [END documentai_v1_generated_DocumentProcessorService_ReviewDocument_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_review_document_sync.py b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_review_document_sync.py new file mode 100644 index 000000000000..d29620e11100 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_review_document_sync.py @@ -0,0 +1,60 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ReviewDocument +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1_generated_DocumentProcessorService_ReviewDocument_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1 + + +def sample_review_document(): + # Create a client + client = documentai_v1.DocumentProcessorServiceClient() + + # Initialize request argument(s) + inline_document = documentai_v1.Document() + inline_document.uri = "uri_value" + + request = documentai_v1.ReviewDocumentRequest( + inline_document=inline_document, + human_review_config="human_review_config_value", + ) + + # Make the request + operation = client.review_document(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + +# [END documentai_v1_generated_DocumentProcessorService_ReviewDocument_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_set_default_processor_version_async.py b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_set_default_processor_version_async.py new file mode 100644 index 000000000000..036fa7d23cdf --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_set_default_processor_version_async.py @@ -0,0 +1,57 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for SetDefaultProcessorVersion +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1_generated_DocumentProcessorService_SetDefaultProcessorVersion_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1 + + +async def sample_set_default_processor_version(): + # Create a client + client = documentai_v1.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1.SetDefaultProcessorVersionRequest( + processor="processor_value", + default_processor_version="default_processor_version_value", + ) + + # Make the request + operation = client.set_default_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + +# [END documentai_v1_generated_DocumentProcessorService_SetDefaultProcessorVersion_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_set_default_processor_version_sync.py b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_set_default_processor_version_sync.py new file mode 100644 index 000000000000..3a8c4e1d7ff6 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_set_default_processor_version_sync.py @@ -0,0 +1,57 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for SetDefaultProcessorVersion +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1_generated_DocumentProcessorService_SetDefaultProcessorVersion_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1 + + +def sample_set_default_processor_version(): + # Create a client + client = documentai_v1.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1.SetDefaultProcessorVersionRequest( + processor="processor_value", + default_processor_version="default_processor_version_value", + ) + + # Make the request + operation = client.set_default_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + +# [END documentai_v1_generated_DocumentProcessorService_SetDefaultProcessorVersion_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_train_processor_version_async.py b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_train_processor_version_async.py new file mode 100644 index 000000000000..e7f2061e6060 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_train_processor_version_async.py @@ -0,0 +1,56 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for TrainProcessorVersion +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1_generated_DocumentProcessorService_TrainProcessorVersion_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1 + + +async def sample_train_processor_version(): + # Create a client + client = documentai_v1.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1.TrainProcessorVersionRequest( + parent="parent_value", + ) + + # Make the request + operation = client.train_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + +# [END documentai_v1_generated_DocumentProcessorService_TrainProcessorVersion_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_train_processor_version_sync.py b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_train_processor_version_sync.py new file mode 100644 index 000000000000..922f52a50280 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_train_processor_version_sync.py @@ -0,0 +1,56 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for TrainProcessorVersion +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1_generated_DocumentProcessorService_TrainProcessorVersion_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1 + + +def sample_train_processor_version(): + # Create a client + client = documentai_v1.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1.TrainProcessorVersionRequest( + parent="parent_value", + ) + + # Make the request + operation = client.train_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + +# [END documentai_v1_generated_DocumentProcessorService_TrainProcessorVersion_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_undeploy_processor_version_async.py b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_undeploy_processor_version_async.py new file mode 100644 index 000000000000..16585aeacc4b --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_undeploy_processor_version_async.py @@ -0,0 +1,56 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for UndeployProcessorVersion +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1_generated_DocumentProcessorService_UndeployProcessorVersion_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1 + + +async def sample_undeploy_processor_version(): + # Create a client + client = documentai_v1.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1.UndeployProcessorVersionRequest( + name="name_value", + ) + + # Make the request + operation = client.undeploy_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + +# [END documentai_v1_generated_DocumentProcessorService_UndeployProcessorVersion_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_undeploy_processor_version_sync.py b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_undeploy_processor_version_sync.py new file mode 100644 index 000000000000..45efaee12c15 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/samples/generated_samples/documentai_v1_generated_document_processor_service_undeploy_processor_version_sync.py @@ -0,0 +1,56 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for UndeployProcessorVersion +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1_generated_DocumentProcessorService_UndeployProcessorVersion_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1 + + +def sample_undeploy_processor_version(): + # Create a client + client = documentai_v1.DocumentProcessorServiceClient() + + # Initialize 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in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import argparse +import os +import libcst as cst +import pathlib +import sys +from typing import (Any, Callable, Dict, List, Sequence, Tuple) + + +def partition( + predicate: Callable[[Any], bool], + iterator: Sequence[Any] +) -> Tuple[List[Any], List[Any]]: + """A stable, out-of-place partition.""" + results = ([], []) + + for i in iterator: + results[int(predicate(i))].append(i) + + # Returns trueList, falseList + return results[1], results[0] + + +class documentaiCallTransformer(cst.CSTTransformer): + CTRL_PARAMS: Tuple[str] = ('retry', 'timeout', 'metadata') + METHOD_TO_PARAMS: Dict[str, Tuple[str]] = { + 'batch_process_documents': ('name', 'input_documents', 'document_output_config', 'skip_human_review', 'process_options', 'labels', ), + 'create_processor': ('parent', 'processor', ), + 'delete_processor': ('name', ), + 'delete_processor_version': ('name', ), + 'deploy_processor_version': ('name', ), + 'disable_processor': ('name', ), + 'enable_processor': ('name', ), + 'evaluate_processor_version': ('processor_version', 'evaluation_documents', ), + 'fetch_processor_types': ('parent', ), + 'get_evaluation': ('name', ), + 'get_processor': ('name', ), + 'get_processor_type': ('name', ), + 'get_processor_version': ('name', ), + 'list_evaluations': ('parent', 'page_size', 'page_token', ), + 'list_processors': ('parent', 'page_size', 'page_token', ), + 'list_processor_types': ('parent', 'page_size', 'page_token', ), + 'list_processor_versions': ('parent', 'page_size', 'page_token', ), + 'process_document': ('name', 'inline_document', 'raw_document', 'gcs_document', 'skip_human_review', 'field_mask', 'process_options', 'labels', ), + 'review_document': ('human_review_config', 'inline_document', 'enable_schema_validation', 'priority', 'document_schema', ), + 'set_default_processor_version': ('processor', 'default_processor_version', ), + 'train_processor_version': ('parent', 'processor_version', 'custom_document_extraction_options', 'document_schema', 'input_data', 'base_processor_version', ), + 'undeploy_processor_version': ('name', ), + } + + def leave_Call(self, original: cst.Call, updated: cst.Call) -> cst.CSTNode: + try: + key = original.func.attr.value + kword_params = self.METHOD_TO_PARAMS[key] + except (AttributeError, KeyError): + # Either not a method from the API or too convoluted to be sure. + return updated + + # If the existing code is valid, keyword args come after positional args. + # Therefore, all positional args must map to the first parameters. + args, kwargs = partition(lambda a: not bool(a.keyword), updated.args) + if any(k.keyword.value == "request" for k in kwargs): + # We've already fixed this file, don't fix it again. + return updated + + kwargs, ctrl_kwargs = partition( + lambda a: a.keyword.value not in self.CTRL_PARAMS, + kwargs + ) + + args, ctrl_args = args[:len(kword_params)], args[len(kword_params):] + ctrl_kwargs.extend(cst.Arg(value=a.value, keyword=cst.Name(value=ctrl)) + for a, ctrl in zip(ctrl_args, self.CTRL_PARAMS)) + + request_arg = cst.Arg( + value=cst.Dict([ + cst.DictElement( + cst.SimpleString("'{}'".format(name)), +cst.Element(value=arg.value) + ) + # Note: the args + kwargs looks silly, but keep in mind that + # the control parameters had to be stripped out, and that + # those could have been passed positionally or by keyword. + for name, arg in zip(kword_params, args + kwargs)]), + keyword=cst.Name("request") + ) + + return updated.with_changes( + args=[request_arg] + ctrl_kwargs + ) + + +def fix_files( + in_dir: pathlib.Path, + out_dir: pathlib.Path, + *, + transformer=documentaiCallTransformer(), +): + """Duplicate the input dir to the output dir, fixing file method calls. + + Preconditions: + * in_dir is a real directory + * out_dir is a real, empty directory + """ + pyfile_gen = ( + pathlib.Path(os.path.join(root, f)) + for root, _, files in os.walk(in_dir) + for f in files if os.path.splitext(f)[1] == ".py" + ) + + for fpath in pyfile_gen: + with open(fpath, 'r') as f: + src = f.read() + + # Parse the code and insert method call fixes. + tree = cst.parse_module(src) + updated = tree.visit(transformer) + + # Create the path and directory structure for the new file. + updated_path = out_dir.joinpath(fpath.relative_to(in_dir)) + updated_path.parent.mkdir(parents=True, exist_ok=True) + + # Generate the updated source file at the corresponding path. + with open(updated_path, 'w') as f: + f.write(updated.code) + + +if __name__ == '__main__': + parser = argparse.ArgumentParser( + description="""Fix up source that uses the documentai client library. + +The existing sources are NOT overwritten but are copied to output_dir with changes made. + +Note: This tool operates at a best-effort level at converting positional + parameters in client method calls to keyword based parameters. + Cases where it WILL FAIL include + A) * or ** expansion in a method call. + B) Calls via function or method alias (includes free function calls) + C) Indirect or dispatched calls (e.g. the method is looked up dynamically) + + These all constitute false negatives. The tool will also detect false + positives when an API method shares a name with another method. +""") + parser.add_argument( + '-d', + '--input-directory', + required=True, + dest='input_dir', + help='the input directory to walk for python files to fix up', + ) + parser.add_argument( + '-o', + '--output-directory', + required=True, + dest='output_dir', + help='the directory to output files fixed via un-flattening', + ) + args = parser.parse_args() + input_dir = pathlib.Path(args.input_dir) + output_dir = pathlib.Path(args.output_dir) + if not input_dir.is_dir(): + print( + f"input directory '{input_dir}' does not exist or is not a directory", + file=sys.stderr, + ) + sys.exit(-1) + + if not output_dir.is_dir(): + print( + f"output directory '{output_dir}' does not exist or is not a directory", + file=sys.stderr, + ) + sys.exit(-1) + + if os.listdir(output_dir): + print( + f"output directory '{output_dir}' is not empty", + file=sys.stderr, + ) + sys.exit(-1) + + fix_files(input_dir, output_dir) diff --git a/owl-bot-staging/google-cloud-documentai/v1/setup.py b/owl-bot-staging/google-cloud-documentai/v1/setup.py new file mode 100644 index 000000000000..11e72a1d001b --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/setup.py @@ -0,0 +1,93 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import io +import os +import re + +import setuptools # type: ignore + +package_root = os.path.abspath(os.path.dirname(__file__)) + +name = 'google-cloud-documentai' + + +description = "Google Cloud Documentai API client library" + +version = None + +with open(os.path.join(package_root, 'google/cloud/documentai/gapic_version.py')) as fp: + version_candidates = re.findall(r"(?<=\")\d+.\d+.\d+(?=\")", fp.read()) + assert (len(version_candidates) == 1) + version = version_candidates[0] + +if version[0] == "0": + release_status = "Development Status :: 4 - Beta" +else: + release_status = "Development Status :: 5 - Production/Stable" + +dependencies = [ + "google-api-core[grpc] >= 1.34.1, <3.0.0dev,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,!=2.7.*,!=2.8.*,!=2.9.*,!=2.10.*", + # Exclude incompatible versions of `google-auth` + # See https://github.com/googleapis/google-cloud-python/issues/12364 + "google-auth >= 2.14.1, <3.0.0dev,!=2.24.0,!=2.25.0", + "proto-plus >= 1.22.3, <2.0.0dev", + "protobuf>=3.19.5,<5.0.0dev,!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5", +] +url = "https://github.com/googleapis/google-cloud-python/tree/main/packages/google-cloud-documentai" + +package_root = os.path.abspath(os.path.dirname(__file__)) + +readme_filename = os.path.join(package_root, "README.rst") +with io.open(readme_filename, encoding="utf-8") as readme_file: + readme = readme_file.read() + +packages = [ + package + for package in setuptools.find_namespace_packages() + if package.startswith("google") +] + +setuptools.setup( + name=name, + version=version, + description=description, + long_description=readme, + author="Google LLC", + author_email="googleapis-packages@google.com", + license="Apache 2.0", + url=url, + classifiers=[ + release_status, + "Intended Audience :: Developers", + "License :: OSI Approved :: Apache Software License", + "Programming Language :: Python", + "Programming Language :: Python :: 3", + "Programming Language :: Python :: 3.7", + "Programming Language :: Python :: 3.8", + "Programming Language :: Python :: 3.9", + "Programming Language :: Python :: 3.10", + "Programming Language :: Python :: 3.11", + "Programming Language :: Python :: 3.12", + "Operating System :: OS Independent", + "Topic :: Internet", + ], + platforms="Posix; MacOS X; Windows", + packages=packages, + python_requires=">=3.7", + install_requires=dependencies, + include_package_data=True, + zip_safe=False, +) diff --git a/owl-bot-staging/google-cloud-documentai/v1/testing/constraints-3.10.txt b/owl-bot-staging/google-cloud-documentai/v1/testing/constraints-3.10.txt new file mode 100644 index 000000000000..ed7f9aed2559 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/testing/constraints-3.10.txt @@ -0,0 +1,6 @@ +# -*- coding: utf-8 -*- +# This constraints file is required for unit tests. +# List all library dependencies and extras in this file. +google-api-core +proto-plus +protobuf diff --git a/owl-bot-staging/google-cloud-documentai/v1/testing/constraints-3.11.txt b/owl-bot-staging/google-cloud-documentai/v1/testing/constraints-3.11.txt new file mode 100644 index 000000000000..ed7f9aed2559 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/testing/constraints-3.11.txt @@ -0,0 +1,6 @@ +# -*- coding: utf-8 -*- +# This constraints file is required for unit tests. +# List all library dependencies and extras in this file. +google-api-core +proto-plus +protobuf diff --git a/owl-bot-staging/google-cloud-documentai/v1/testing/constraints-3.12.txt b/owl-bot-staging/google-cloud-documentai/v1/testing/constraints-3.12.txt new file mode 100644 index 000000000000..ed7f9aed2559 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/testing/constraints-3.12.txt @@ -0,0 +1,6 @@ +# -*- coding: utf-8 -*- +# This constraints file is required for unit tests. +# List all library dependencies and extras in this file. +google-api-core +proto-plus +protobuf diff --git a/owl-bot-staging/google-cloud-documentai/v1/testing/constraints-3.7.txt b/owl-bot-staging/google-cloud-documentai/v1/testing/constraints-3.7.txt new file mode 100644 index 000000000000..b8a550c73855 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/testing/constraints-3.7.txt @@ -0,0 +1,10 @@ +# This constraints file is used to check that lower bounds +# are correct in setup.py +# List all library dependencies and extras in this file. +# Pin the version to the lower bound. +# e.g., if setup.py has "google-cloud-foo >= 1.14.0, < 2.0.0dev", +# Then this file should have google-cloud-foo==1.14.0 +google-api-core==1.34.1 +google-auth==2.14.1 +proto-plus==1.22.3 +protobuf==3.19.5 diff --git a/owl-bot-staging/google-cloud-documentai/v1/testing/constraints-3.8.txt b/owl-bot-staging/google-cloud-documentai/v1/testing/constraints-3.8.txt new file mode 100644 index 000000000000..ed7f9aed2559 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/testing/constraints-3.8.txt @@ -0,0 +1,6 @@ +# -*- coding: utf-8 -*- +# This constraints file is required for unit tests. +# List all library dependencies and extras in this file. +google-api-core +proto-plus +protobuf diff --git a/owl-bot-staging/google-cloud-documentai/v1/testing/constraints-3.9.txt b/owl-bot-staging/google-cloud-documentai/v1/testing/constraints-3.9.txt new file mode 100644 index 000000000000..ed7f9aed2559 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/testing/constraints-3.9.txt @@ -0,0 +1,6 @@ +# -*- coding: utf-8 -*- +# This constraints file is required for unit tests. +# List all library dependencies and extras in this file. +google-api-core +proto-plus +protobuf diff --git a/owl-bot-staging/google-cloud-documentai/v1/tests/__init__.py b/owl-bot-staging/google-cloud-documentai/v1/tests/__init__.py new file mode 100644 index 000000000000..7b3de3117f38 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/tests/__init__.py @@ -0,0 +1,16 @@ + +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# diff --git a/owl-bot-staging/google-cloud-documentai/v1/tests/unit/__init__.py b/owl-bot-staging/google-cloud-documentai/v1/tests/unit/__init__.py new file mode 100644 index 000000000000..7b3de3117f38 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/tests/unit/__init__.py @@ -0,0 +1,16 @@ + +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# diff --git a/owl-bot-staging/google-cloud-documentai/v1/tests/unit/gapic/__init__.py b/owl-bot-staging/google-cloud-documentai/v1/tests/unit/gapic/__init__.py new file mode 100644 index 000000000000..7b3de3117f38 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/tests/unit/gapic/__init__.py @@ -0,0 +1,16 @@ + +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# diff --git a/owl-bot-staging/google-cloud-documentai/v1/tests/unit/gapic/documentai_v1/__init__.py b/owl-bot-staging/google-cloud-documentai/v1/tests/unit/gapic/documentai_v1/__init__.py new file mode 100644 index 000000000000..7b3de3117f38 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/tests/unit/gapic/documentai_v1/__init__.py @@ -0,0 +1,16 @@ + +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# diff --git a/owl-bot-staging/google-cloud-documentai/v1/tests/unit/gapic/documentai_v1/test_document_processor_service.py b/owl-bot-staging/google-cloud-documentai/v1/tests/unit/gapic/documentai_v1/test_document_processor_service.py new file mode 100644 index 000000000000..a4565cb22790 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1/tests/unit/gapic/documentai_v1/test_document_processor_service.py @@ -0,0 +1,13565 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import os +# try/except added for compatibility with python < 3.8 +try: + from unittest import mock + from unittest.mock import AsyncMock # pragma: NO COVER +except ImportError: # pragma: NO COVER + import mock + +import grpc +from grpc.experimental import aio +from collections.abc import Iterable +from google.protobuf import json_format +import json +import math +import pytest +from google.api_core import api_core_version +from proto.marshal.rules.dates import DurationRule, TimestampRule +from proto.marshal.rules import wrappers +from requests import Response +from requests import Request, PreparedRequest +from requests.sessions import Session +from google.protobuf import json_format + +from google.api import launch_stage_pb2 # type: ignore +from google.api_core import client_options +from google.api_core import exceptions as core_exceptions +from google.api_core import future +from google.api_core import gapic_v1 +from google.api_core import grpc_helpers +from google.api_core import grpc_helpers_async +from google.api_core import operation +from google.api_core import operation_async # type: ignore +from google.api_core import operations_v1 +from google.api_core import path_template +from google.auth import credentials as ga_credentials +from google.auth.exceptions import MutualTLSChannelError +from google.cloud.documentai_v1.services.document_processor_service import DocumentProcessorServiceAsyncClient +from google.cloud.documentai_v1.services.document_processor_service import DocumentProcessorServiceClient +from google.cloud.documentai_v1.services.document_processor_service import pagers +from google.cloud.documentai_v1.services.document_processor_service import transports +from google.cloud.documentai_v1.types import barcode +from google.cloud.documentai_v1.types import document +from google.cloud.documentai_v1.types import document_io +from google.cloud.documentai_v1.types import document_processor_service +from google.cloud.documentai_v1.types import document_schema +from google.cloud.documentai_v1.types import evaluation +from google.cloud.documentai_v1.types import geometry +from google.cloud.documentai_v1.types import processor +from google.cloud.documentai_v1.types import processor as gcd_processor +from google.cloud.documentai_v1.types import processor_type +from google.cloud.location import locations_pb2 +from google.longrunning import operations_pb2 # type: ignore +from google.oauth2 import service_account +from google.protobuf import any_pb2 # type: ignore +from google.protobuf import duration_pb2 # type: ignore +from google.protobuf import empty_pb2 # type: ignore +from google.protobuf import field_mask_pb2 # type: ignore +from google.protobuf import timestamp_pb2 # type: ignore +from google.protobuf import wrappers_pb2 # type: ignore +from google.rpc import status_pb2 # type: ignore +from google.type import color_pb2 # type: ignore +from google.type import date_pb2 # type: ignore +from google.type import datetime_pb2 # type: ignore +from google.type import money_pb2 # type: ignore +from google.type import postal_address_pb2 # type: ignore +import google.auth + + +def client_cert_source_callback(): + return b"cert bytes", b"key bytes" + +# If default endpoint is localhost, then default mtls endpoint will be the same. +# This method modifies the default endpoint so the client can produce a different +# mtls endpoint for endpoint testing purposes. +def modify_default_endpoint(client): + return "foo.googleapis.com" if ("localhost" in client.DEFAULT_ENDPOINT) else client.DEFAULT_ENDPOINT + +# If default endpoint template is localhost, then default mtls endpoint will be the same. +# This method modifies the default endpoint template so the client can produce a different +# mtls endpoint for endpoint testing purposes. +def modify_default_endpoint_template(client): + return "test.{UNIVERSE_DOMAIN}" if ("localhost" in client._DEFAULT_ENDPOINT_TEMPLATE) else client._DEFAULT_ENDPOINT_TEMPLATE + + +def test__get_default_mtls_endpoint(): + api_endpoint = "example.googleapis.com" + api_mtls_endpoint = "example.mtls.googleapis.com" + sandbox_endpoint = "example.sandbox.googleapis.com" + sandbox_mtls_endpoint = "example.mtls.sandbox.googleapis.com" + non_googleapi = "api.example.com" + + assert DocumentProcessorServiceClient._get_default_mtls_endpoint(None) is None + assert DocumentProcessorServiceClient._get_default_mtls_endpoint(api_endpoint) == api_mtls_endpoint + assert DocumentProcessorServiceClient._get_default_mtls_endpoint(api_mtls_endpoint) == api_mtls_endpoint + assert DocumentProcessorServiceClient._get_default_mtls_endpoint(sandbox_endpoint) == sandbox_mtls_endpoint + assert DocumentProcessorServiceClient._get_default_mtls_endpoint(sandbox_mtls_endpoint) == sandbox_mtls_endpoint + assert DocumentProcessorServiceClient._get_default_mtls_endpoint(non_googleapi) == non_googleapi + +def test__read_environment_variables(): + assert DocumentProcessorServiceClient._read_environment_variables() == (False, "auto", None) + + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): + assert DocumentProcessorServiceClient._read_environment_variables() == (True, "auto", None) + + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "false"}): + assert DocumentProcessorServiceClient._read_environment_variables() == (False, "auto", None) + + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}): + with pytest.raises(ValueError) as excinfo: + DocumentProcessorServiceClient._read_environment_variables() + assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`" + + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}): + assert DocumentProcessorServiceClient._read_environment_variables() == (False, "never", None) + + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}): + assert DocumentProcessorServiceClient._read_environment_variables() == (False, "always", None) + + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"}): + assert DocumentProcessorServiceClient._read_environment_variables() == (False, "auto", None) + + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}): + with pytest.raises(MutualTLSChannelError) as excinfo: + DocumentProcessorServiceClient._read_environment_variables() + assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + + with mock.patch.dict(os.environ, {"GOOGLE_CLOUD_UNIVERSE_DOMAIN": "foo.com"}): + assert DocumentProcessorServiceClient._read_environment_variables() == (False, "auto", "foo.com") + +def test__get_client_cert_source(): + mock_provided_cert_source = mock.Mock() + mock_default_cert_source = mock.Mock() + + assert DocumentProcessorServiceClient._get_client_cert_source(None, False) is None + assert DocumentProcessorServiceClient._get_client_cert_source(mock_provided_cert_source, False) is None + assert DocumentProcessorServiceClient._get_client_cert_source(mock_provided_cert_source, True) == mock_provided_cert_source + + with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True): + with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=mock_default_cert_source): + assert DocumentProcessorServiceClient._get_client_cert_source(None, True) is mock_default_cert_source + assert DocumentProcessorServiceClient._get_client_cert_source(mock_provided_cert_source, "true") is mock_provided_cert_source + +@mock.patch.object(DocumentProcessorServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DocumentProcessorServiceClient)) +@mock.patch.object(DocumentProcessorServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DocumentProcessorServiceAsyncClient)) +def test__get_api_endpoint(): + api_override = "foo.com" + mock_client_cert_source = mock.Mock() + default_universe = DocumentProcessorServiceClient._DEFAULT_UNIVERSE + default_endpoint = DocumentProcessorServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=default_universe) + mock_universe = "bar.com" + mock_endpoint = DocumentProcessorServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=mock_universe) + + assert DocumentProcessorServiceClient._get_api_endpoint(api_override, mock_client_cert_source, default_universe, "always") == api_override + assert DocumentProcessorServiceClient._get_api_endpoint(None, mock_client_cert_source, default_universe, "auto") == DocumentProcessorServiceClient.DEFAULT_MTLS_ENDPOINT + assert DocumentProcessorServiceClient._get_api_endpoint(None, None, default_universe, "auto") == default_endpoint + assert DocumentProcessorServiceClient._get_api_endpoint(None, None, default_universe, "always") == DocumentProcessorServiceClient.DEFAULT_MTLS_ENDPOINT + assert DocumentProcessorServiceClient._get_api_endpoint(None, mock_client_cert_source, default_universe, "always") == DocumentProcessorServiceClient.DEFAULT_MTLS_ENDPOINT + assert DocumentProcessorServiceClient._get_api_endpoint(None, None, mock_universe, "never") == mock_endpoint + assert DocumentProcessorServiceClient._get_api_endpoint(None, None, default_universe, "never") == default_endpoint + + with pytest.raises(MutualTLSChannelError) as excinfo: + DocumentProcessorServiceClient._get_api_endpoint(None, mock_client_cert_source, mock_universe, "auto") + assert str(excinfo.value) == "mTLS is not supported in any universe other than googleapis.com." + +def test__get_universe_domain(): + client_universe_domain = "foo.com" + universe_domain_env = "bar.com" + + assert DocumentProcessorServiceClient._get_universe_domain(client_universe_domain, universe_domain_env) == client_universe_domain + assert DocumentProcessorServiceClient._get_universe_domain(None, universe_domain_env) == universe_domain_env + assert DocumentProcessorServiceClient._get_universe_domain(None, None) == DocumentProcessorServiceClient._DEFAULT_UNIVERSE + + with pytest.raises(ValueError) as excinfo: + DocumentProcessorServiceClient._get_universe_domain("", None) + assert str(excinfo.value) == "Universe Domain cannot be an empty string." + +@pytest.mark.parametrize("client_class,transport_class,transport_name", [ + (DocumentProcessorServiceClient, transports.DocumentProcessorServiceGrpcTransport, "grpc"), + (DocumentProcessorServiceClient, transports.DocumentProcessorServiceRestTransport, "rest"), +]) +def test__validate_universe_domain(client_class, transport_class, transport_name): + client = client_class( + transport=transport_class( + credentials=ga_credentials.AnonymousCredentials() + ) + ) + assert client._validate_universe_domain() == True + + # Test the case when universe is already validated. + assert client._validate_universe_domain() == True + + if transport_name == "grpc": + # Test the case where credentials are provided by the + # `local_channel_credentials`. The default universes in both match. + channel = grpc.secure_channel('http://localhost/', grpc.local_channel_credentials()) + client = client_class(transport=transport_class(channel=channel)) + assert client._validate_universe_domain() == True + + # Test the case where credentials do not exist: e.g. a transport is provided + # with no credentials. Validation should still succeed because there is no + # mismatch with non-existent credentials. + channel = grpc.secure_channel('http://localhost/', grpc.local_channel_credentials()) + transport=transport_class(channel=channel) + transport._credentials = None + client = client_class(transport=transport) + assert client._validate_universe_domain() == True + + # TODO: This is needed to cater for older versions of google-auth + # Make this test unconditional once the minimum supported version of + # google-auth becomes 2.23.0 or higher. + google_auth_major, google_auth_minor = [int(part) for part in google.auth.__version__.split(".")[0:2]] + if google_auth_major > 2 or (google_auth_major == 2 and google_auth_minor >= 23): + credentials = ga_credentials.AnonymousCredentials() + credentials._universe_domain = "foo.com" + # Test the case when there is a universe mismatch from the credentials. + client = client_class( + transport=transport_class(credentials=credentials) + ) + with pytest.raises(ValueError) as excinfo: + client._validate_universe_domain() + assert str(excinfo.value) == "The configured universe domain (googleapis.com) does not match the universe domain found in the credentials (foo.com). If you haven't configured the universe domain explicitly, `googleapis.com` is the default." + + # Test the case when there is a universe mismatch from the client. + # + # TODO: Make this test unconditional once the minimum supported version of + # google-api-core becomes 2.15.0 or higher. + api_core_major, api_core_minor = [int(part) for part in api_core_version.__version__.split(".")[0:2]] + if api_core_major > 2 or (api_core_major == 2 and api_core_minor >= 15): + client = client_class(client_options={"universe_domain": "bar.com"}, transport=transport_class(credentials=ga_credentials.AnonymousCredentials(),)) + with pytest.raises(ValueError) as excinfo: + client._validate_universe_domain() + assert str(excinfo.value) == "The configured universe domain (bar.com) does not match the universe domain found in the credentials (googleapis.com). If you haven't configured the universe domain explicitly, `googleapis.com` is the default." + + # Test that ValueError is raised if universe_domain is provided via client options and credentials is None + with pytest.raises(ValueError): + client._compare_universes("foo.bar", None) + + +@pytest.mark.parametrize("client_class,transport_name", [ + (DocumentProcessorServiceClient, "grpc"), + (DocumentProcessorServiceAsyncClient, "grpc_asyncio"), + (DocumentProcessorServiceClient, "rest"), +]) +def test_document_processor_service_client_from_service_account_info(client_class, transport_name): + creds = ga_credentials.AnonymousCredentials() + with mock.patch.object(service_account.Credentials, 'from_service_account_info') as factory: + factory.return_value = creds + info = {"valid": True} + client = client_class.from_service_account_info(info, transport=transport_name) + assert client.transport._credentials == creds + assert isinstance(client, client_class) + + assert client.transport._host == ( + 'documentai.googleapis.com:443' + if transport_name in ['grpc', 'grpc_asyncio'] + else + 'https://documentai.googleapis.com' + ) + + +@pytest.mark.parametrize("transport_class,transport_name", [ + (transports.DocumentProcessorServiceGrpcTransport, "grpc"), + (transports.DocumentProcessorServiceGrpcAsyncIOTransport, "grpc_asyncio"), + (transports.DocumentProcessorServiceRestTransport, "rest"), +]) +def test_document_processor_service_client_service_account_always_use_jwt(transport_class, transport_name): + with mock.patch.object(service_account.Credentials, 'with_always_use_jwt_access', create=True) as use_jwt: + creds = service_account.Credentials(None, None, None) + transport = transport_class(credentials=creds, always_use_jwt_access=True) + use_jwt.assert_called_once_with(True) + + with mock.patch.object(service_account.Credentials, 'with_always_use_jwt_access', create=True) as use_jwt: + creds = service_account.Credentials(None, None, None) + transport = transport_class(credentials=creds, always_use_jwt_access=False) + use_jwt.assert_not_called() + + +@pytest.mark.parametrize("client_class,transport_name", [ + (DocumentProcessorServiceClient, "grpc"), + (DocumentProcessorServiceAsyncClient, "grpc_asyncio"), + (DocumentProcessorServiceClient, "rest"), +]) +def test_document_processor_service_client_from_service_account_file(client_class, transport_name): + creds = ga_credentials.AnonymousCredentials() + with mock.patch.object(service_account.Credentials, 'from_service_account_file') as factory: + factory.return_value = creds + client = client_class.from_service_account_file("dummy/file/path.json", transport=transport_name) + assert client.transport._credentials == creds + assert isinstance(client, client_class) + + client = client_class.from_service_account_json("dummy/file/path.json", transport=transport_name) + assert client.transport._credentials == creds + assert isinstance(client, client_class) + + assert client.transport._host == ( + 'documentai.googleapis.com:443' + if transport_name in ['grpc', 'grpc_asyncio'] + else + 'https://documentai.googleapis.com' + ) + + +def test_document_processor_service_client_get_transport_class(): + transport = DocumentProcessorServiceClient.get_transport_class() + available_transports = [ + transports.DocumentProcessorServiceGrpcTransport, + transports.DocumentProcessorServiceRestTransport, + ] + assert transport in available_transports + + transport = DocumentProcessorServiceClient.get_transport_class("grpc") + assert transport == transports.DocumentProcessorServiceGrpcTransport + + +@pytest.mark.parametrize("client_class,transport_class,transport_name", [ + (DocumentProcessorServiceClient, transports.DocumentProcessorServiceGrpcTransport, "grpc"), + (DocumentProcessorServiceAsyncClient, transports.DocumentProcessorServiceGrpcAsyncIOTransport, "grpc_asyncio"), + (DocumentProcessorServiceClient, transports.DocumentProcessorServiceRestTransport, "rest"), +]) +@mock.patch.object(DocumentProcessorServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DocumentProcessorServiceClient)) +@mock.patch.object(DocumentProcessorServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DocumentProcessorServiceAsyncClient)) +def test_document_processor_service_client_client_options(client_class, transport_class, transport_name): + # Check that if channel is provided we won't create a new one. + with mock.patch.object(DocumentProcessorServiceClient, 'get_transport_class') as gtc: + transport = transport_class( + credentials=ga_credentials.AnonymousCredentials() + ) + client = client_class(transport=transport) + gtc.assert_not_called() + + # Check that if channel is provided via str we will create a new one. + with mock.patch.object(DocumentProcessorServiceClient, 'get_transport_class') as gtc: + client = client_class(transport=transport_name) + gtc.assert_called() + + # Check the case api_endpoint is provided. + options = client_options.ClientOptions(api_endpoint="squid.clam.whelk") + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(transport=transport_name, client_options=options) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host="squid.clam.whelk", + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is + # "never". + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}): + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE), + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is + # "always". + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}): + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client.DEFAULT_MTLS_ENDPOINT, + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has + # unsupported value. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}): + with pytest.raises(MutualTLSChannelError) as excinfo: + client = client_class(transport=transport_name) + assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + + # Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}): + with pytest.raises(ValueError) as excinfo: + client = client_class(transport=transport_name) + assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`" + + # Check the case quota_project_id is provided + options = client_options.ClientOptions(quota_project_id="octopus") + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE), + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id="octopus", + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + # Check the case api_endpoint is provided + options = client_options.ClientOptions(api_audience="https://language.googleapis.com") + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE), + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience="https://language.googleapis.com" + ) + +@pytest.mark.parametrize("client_class,transport_class,transport_name,use_client_cert_env", [ + (DocumentProcessorServiceClient, transports.DocumentProcessorServiceGrpcTransport, "grpc", "true"), + (DocumentProcessorServiceAsyncClient, transports.DocumentProcessorServiceGrpcAsyncIOTransport, "grpc_asyncio", "true"), + (DocumentProcessorServiceClient, transports.DocumentProcessorServiceGrpcTransport, "grpc", "false"), + (DocumentProcessorServiceAsyncClient, transports.DocumentProcessorServiceGrpcAsyncIOTransport, "grpc_asyncio", "false"), + (DocumentProcessorServiceClient, transports.DocumentProcessorServiceRestTransport, "rest", "true"), + (DocumentProcessorServiceClient, transports.DocumentProcessorServiceRestTransport, "rest", "false"), +]) +@mock.patch.object(DocumentProcessorServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DocumentProcessorServiceClient)) +@mock.patch.object(DocumentProcessorServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DocumentProcessorServiceAsyncClient)) +@mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"}) +def test_document_processor_service_client_mtls_env_auto(client_class, transport_class, transport_name, use_client_cert_env): + # This tests the endpoint autoswitch behavior. Endpoint is autoswitched to the default + # mtls endpoint, if GOOGLE_API_USE_CLIENT_CERTIFICATE is "true" and client cert exists. + + # Check the case client_cert_source is provided. Whether client cert is used depends on + # GOOGLE_API_USE_CLIENT_CERTIFICATE value. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}): + options = client_options.ClientOptions(client_cert_source=client_cert_source_callback) + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + + if use_client_cert_env == "false": + expected_client_cert_source = None + expected_host = client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE) + else: + expected_client_cert_source = client_cert_source_callback + expected_host = client.DEFAULT_MTLS_ENDPOINT + + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=expected_host, + scopes=None, + client_cert_source_for_mtls=expected_client_cert_source, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + # Check the case ADC client cert is provided. Whether client cert is used depends on + # GOOGLE_API_USE_CLIENT_CERTIFICATE value. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}): + with mock.patch.object(transport_class, '__init__') as patched: + with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True): + with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=client_cert_source_callback): + if use_client_cert_env == "false": + expected_host = client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE) + expected_client_cert_source = None + else: + expected_host = client.DEFAULT_MTLS_ENDPOINT + expected_client_cert_source = client_cert_source_callback + + patched.return_value = None + client = client_class(transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=expected_host, + scopes=None, + client_cert_source_for_mtls=expected_client_cert_source, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + # Check the case client_cert_source and ADC client cert are not provided. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}): + with mock.patch.object(transport_class, '__init__') as patched: + with mock.patch("google.auth.transport.mtls.has_default_client_cert_source", return_value=False): + patched.return_value = None + client = client_class(transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE), + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + +@pytest.mark.parametrize("client_class", [ + DocumentProcessorServiceClient, DocumentProcessorServiceAsyncClient +]) +@mock.patch.object(DocumentProcessorServiceClient, "DEFAULT_ENDPOINT", modify_default_endpoint(DocumentProcessorServiceClient)) +@mock.patch.object(DocumentProcessorServiceAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(DocumentProcessorServiceAsyncClient)) +def test_document_processor_service_client_get_mtls_endpoint_and_cert_source(client_class): + mock_client_cert_source = mock.Mock() + + # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "true". + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): + mock_api_endpoint = "foo" + options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint) + api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(options) + assert api_endpoint == mock_api_endpoint + assert cert_source == mock_client_cert_source + + # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "false". + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "false"}): + mock_client_cert_source = mock.Mock() + mock_api_endpoint = "foo" + options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint) + api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(options) + assert api_endpoint == mock_api_endpoint + assert cert_source is None + + # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "never". + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}): + api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() + assert api_endpoint == client_class.DEFAULT_ENDPOINT + assert cert_source is None + + # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "always". + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}): + api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() + assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT + assert cert_source is None + + # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert doesn't exist. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): + with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=False): + api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() + assert api_endpoint == client_class.DEFAULT_ENDPOINT + assert cert_source is None + + # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert exists. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): + with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True): + with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=mock_client_cert_source): + api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() + assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT + assert cert_source == mock_client_cert_source + + # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has + # unsupported value. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}): + with pytest.raises(MutualTLSChannelError) as excinfo: + client_class.get_mtls_endpoint_and_cert_source() + + assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + + # Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}): + with pytest.raises(ValueError) as excinfo: + client_class.get_mtls_endpoint_and_cert_source() + + assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`" + +@pytest.mark.parametrize("client_class", [ + DocumentProcessorServiceClient, DocumentProcessorServiceAsyncClient +]) +@mock.patch.object(DocumentProcessorServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DocumentProcessorServiceClient)) +@mock.patch.object(DocumentProcessorServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DocumentProcessorServiceAsyncClient)) +def test_document_processor_service_client_client_api_endpoint(client_class): + mock_client_cert_source = client_cert_source_callback + api_override = "foo.com" + default_universe = DocumentProcessorServiceClient._DEFAULT_UNIVERSE + default_endpoint = DocumentProcessorServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=default_universe) + mock_universe = "bar.com" + mock_endpoint = DocumentProcessorServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=mock_universe) + + # If ClientOptions.api_endpoint is set and GOOGLE_API_USE_CLIENT_CERTIFICATE="true", + # use ClientOptions.api_endpoint as the api endpoint regardless. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): + with mock.patch("google.auth.transport.requests.AuthorizedSession.configure_mtls_channel"): + options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=api_override) + client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials()) + assert client.api_endpoint == api_override + + # If ClientOptions.api_endpoint is not set and GOOGLE_API_USE_MTLS_ENDPOINT="never", + # use the _DEFAULT_ENDPOINT_TEMPLATE populated with GDU as the api endpoint. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}): + client = client_class(credentials=ga_credentials.AnonymousCredentials()) + assert client.api_endpoint == default_endpoint + + # If ClientOptions.api_endpoint is not set and GOOGLE_API_USE_MTLS_ENDPOINT="always", + # use the DEFAULT_MTLS_ENDPOINT as the api endpoint. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}): + client = client_class(credentials=ga_credentials.AnonymousCredentials()) + assert client.api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT + + # If ClientOptions.api_endpoint is not set, GOOGLE_API_USE_MTLS_ENDPOINT="auto" (default), + # GOOGLE_API_USE_CLIENT_CERTIFICATE="false" (default), default cert source doesn't exist, + # and ClientOptions.universe_domain="bar.com", + # use the _DEFAULT_ENDPOINT_TEMPLATE populated with universe domain as the api endpoint. + options = client_options.ClientOptions() + universe_exists = hasattr(options, "universe_domain") + if universe_exists: + options = client_options.ClientOptions(universe_domain=mock_universe) + client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials()) + else: + client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials()) + assert client.api_endpoint == (mock_endpoint if universe_exists else default_endpoint) + assert client.universe_domain == (mock_universe if universe_exists else default_universe) + + # If ClientOptions does not have a universe domain attribute and GOOGLE_API_USE_MTLS_ENDPOINT="never", + # use the _DEFAULT_ENDPOINT_TEMPLATE populated with GDU as the api endpoint. + options = client_options.ClientOptions() + if hasattr(options, "universe_domain"): + delattr(options, "universe_domain") + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}): + client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials()) + assert client.api_endpoint == default_endpoint + + +@pytest.mark.parametrize("client_class,transport_class,transport_name", [ + (DocumentProcessorServiceClient, transports.DocumentProcessorServiceGrpcTransport, "grpc"), + (DocumentProcessorServiceAsyncClient, transports.DocumentProcessorServiceGrpcAsyncIOTransport, "grpc_asyncio"), + (DocumentProcessorServiceClient, transports.DocumentProcessorServiceRestTransport, "rest"), +]) +def test_document_processor_service_client_client_options_scopes(client_class, transport_class, transport_name): + # Check the case scopes are provided. + options = client_options.ClientOptions( + scopes=["1", "2"], + ) + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE), + scopes=["1", "2"], + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + +@pytest.mark.parametrize("client_class,transport_class,transport_name,grpc_helpers", [ + (DocumentProcessorServiceClient, transports.DocumentProcessorServiceGrpcTransport, "grpc", grpc_helpers), + (DocumentProcessorServiceAsyncClient, transports.DocumentProcessorServiceGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async), + (DocumentProcessorServiceClient, transports.DocumentProcessorServiceRestTransport, "rest", None), +]) +def test_document_processor_service_client_client_options_credentials_file(client_class, transport_class, transport_name, grpc_helpers): + # Check the case credentials file is provided. + options = client_options.ClientOptions( + credentials_file="credentials.json" + ) + + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file="credentials.json", + host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE), + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + +def test_document_processor_service_client_client_options_from_dict(): + with mock.patch('google.cloud.documentai_v1.services.document_processor_service.transports.DocumentProcessorServiceGrpcTransport.__init__') as grpc_transport: + grpc_transport.return_value = None + client = DocumentProcessorServiceClient( + client_options={'api_endpoint': 'squid.clam.whelk'} + ) + grpc_transport.assert_called_once_with( + credentials=None, + credentials_file=None, + host="squid.clam.whelk", + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + +@pytest.mark.parametrize("client_class,transport_class,transport_name,grpc_helpers", [ + (DocumentProcessorServiceClient, transports.DocumentProcessorServiceGrpcTransport, "grpc", grpc_helpers), + (DocumentProcessorServiceAsyncClient, transports.DocumentProcessorServiceGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async), +]) +def test_document_processor_service_client_create_channel_credentials_file(client_class, transport_class, transport_name, grpc_helpers): + # Check the case credentials file is provided. + options = client_options.ClientOptions( + credentials_file="credentials.json" + ) + + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file="credentials.json", + host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE), + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + # test that the credentials from file are saved and used as the credentials. + with mock.patch.object( + google.auth, "load_credentials_from_file", autospec=True + ) as load_creds, mock.patch.object( + google.auth, "default", autospec=True + ) as adc, mock.patch.object( + grpc_helpers, "create_channel" + ) as create_channel: + creds = ga_credentials.AnonymousCredentials() + file_creds = ga_credentials.AnonymousCredentials() + load_creds.return_value = (file_creds, None) + adc.return_value = (creds, None) + client = client_class(client_options=options, transport=transport_name) + create_channel.assert_called_with( + "documentai.googleapis.com:443", + credentials=file_creds, + credentials_file=None, + quota_project_id=None, + default_scopes=( + 'https://www.googleapis.com/auth/cloud-platform', +), + scopes=None, + default_host="documentai.googleapis.com", + ssl_credentials=None, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.ProcessRequest, + dict, +]) +def test_process_document(request_type, transport: str = 'grpc'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.process_document), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = document_processor_service.ProcessResponse( + ) + response = client.process_document(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.ProcessRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, document_processor_service.ProcessResponse) + + +def test_process_document_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.process_document), + '__call__') as call: + client.process_document() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.ProcessRequest() + +@pytest.mark.asyncio +async def test_process_document_async(transport: str = 'grpc_asyncio', request_type=document_processor_service.ProcessRequest): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.process_document), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(document_processor_service.ProcessResponse( + )) + response = await client.process_document(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.ProcessRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, document_processor_service.ProcessResponse) + + +@pytest.mark.asyncio +async def test_process_document_async_from_dict(): + await test_process_document_async(request_type=dict) + + +def test_process_document_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.ProcessRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.process_document), + '__call__') as call: + call.return_value = document_processor_service.ProcessResponse() + client.process_document(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_process_document_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.ProcessRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.process_document), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(document_processor_service.ProcessResponse()) + await client.process_document(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +def test_process_document_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.process_document), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = document_processor_service.ProcessResponse() + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.process_document( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + + +def test_process_document_flattened_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.process_document( + document_processor_service.ProcessRequest(), + name='name_value', + ) + +@pytest.mark.asyncio +async def test_process_document_flattened_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.process_document), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = document_processor_service.ProcessResponse() + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(document_processor_service.ProcessResponse()) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.process_document( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_process_document_flattened_error_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.process_document( + document_processor_service.ProcessRequest(), + name='name_value', + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.BatchProcessRequest, + dict, +]) +def test_batch_process_documents(request_type, transport: str = 'grpc'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.batch_process_documents), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/spam') + response = client.batch_process_documents(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.BatchProcessRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +def test_batch_process_documents_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.batch_process_documents), + '__call__') as call: + client.batch_process_documents() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.BatchProcessRequest() + +@pytest.mark.asyncio +async def test_batch_process_documents_async(transport: str = 'grpc_asyncio', request_type=document_processor_service.BatchProcessRequest): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.batch_process_documents), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + response = await client.batch_process_documents(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.BatchProcessRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +@pytest.mark.asyncio +async def test_batch_process_documents_async_from_dict(): + await test_batch_process_documents_async(request_type=dict) + + +def test_batch_process_documents_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.BatchProcessRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.batch_process_documents), + '__call__') as call: + call.return_value = operations_pb2.Operation(name='operations/op') + client.batch_process_documents(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_batch_process_documents_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.BatchProcessRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.batch_process_documents), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) + await client.batch_process_documents(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +def test_batch_process_documents_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.batch_process_documents), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.batch_process_documents( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + + +def test_batch_process_documents_flattened_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.batch_process_documents( + document_processor_service.BatchProcessRequest(), + name='name_value', + ) + +@pytest.mark.asyncio +async def test_batch_process_documents_flattened_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.batch_process_documents), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.batch_process_documents( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_batch_process_documents_flattened_error_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.batch_process_documents( + document_processor_service.BatchProcessRequest(), + name='name_value', + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.FetchProcessorTypesRequest, + dict, +]) +def test_fetch_processor_types(request_type, transport: str = 'grpc'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.fetch_processor_types), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = document_processor_service.FetchProcessorTypesResponse( + ) + response = client.fetch_processor_types(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.FetchProcessorTypesRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, document_processor_service.FetchProcessorTypesResponse) + + +def test_fetch_processor_types_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.fetch_processor_types), + '__call__') as call: + client.fetch_processor_types() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.FetchProcessorTypesRequest() + +@pytest.mark.asyncio +async def test_fetch_processor_types_async(transport: str = 'grpc_asyncio', request_type=document_processor_service.FetchProcessorTypesRequest): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.fetch_processor_types), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(document_processor_service.FetchProcessorTypesResponse( + )) + response = await client.fetch_processor_types(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.FetchProcessorTypesRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, document_processor_service.FetchProcessorTypesResponse) + + +@pytest.mark.asyncio +async def test_fetch_processor_types_async_from_dict(): + await test_fetch_processor_types_async(request_type=dict) + + +def test_fetch_processor_types_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.FetchProcessorTypesRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.fetch_processor_types), + '__call__') as call: + call.return_value = document_processor_service.FetchProcessorTypesResponse() + client.fetch_processor_types(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_fetch_processor_types_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.FetchProcessorTypesRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.fetch_processor_types), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(document_processor_service.FetchProcessorTypesResponse()) + await client.fetch_processor_types(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +def test_fetch_processor_types_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.fetch_processor_types), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = document_processor_service.FetchProcessorTypesResponse() + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.fetch_processor_types( + parent='parent_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].parent + mock_val = 'parent_value' + assert arg == mock_val + + +def test_fetch_processor_types_flattened_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.fetch_processor_types( + document_processor_service.FetchProcessorTypesRequest(), + parent='parent_value', + ) + +@pytest.mark.asyncio +async def test_fetch_processor_types_flattened_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.fetch_processor_types), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = document_processor_service.FetchProcessorTypesResponse() + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(document_processor_service.FetchProcessorTypesResponse()) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.fetch_processor_types( + parent='parent_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].parent + mock_val = 'parent_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_fetch_processor_types_flattened_error_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.fetch_processor_types( + document_processor_service.FetchProcessorTypesRequest(), + parent='parent_value', + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.ListProcessorTypesRequest, + dict, +]) +def test_list_processor_types(request_type, transport: str = 'grpc'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processor_types), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = document_processor_service.ListProcessorTypesResponse( + next_page_token='next_page_token_value', + ) + response = client.list_processor_types(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.ListProcessorTypesRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, pagers.ListProcessorTypesPager) + assert response.next_page_token == 'next_page_token_value' + + +def test_list_processor_types_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processor_types), + '__call__') as call: + client.list_processor_types() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.ListProcessorTypesRequest() + +@pytest.mark.asyncio +async def test_list_processor_types_async(transport: str = 'grpc_asyncio', request_type=document_processor_service.ListProcessorTypesRequest): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processor_types), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(document_processor_service.ListProcessorTypesResponse( + next_page_token='next_page_token_value', + )) + response = await client.list_processor_types(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.ListProcessorTypesRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, pagers.ListProcessorTypesAsyncPager) + assert response.next_page_token == 'next_page_token_value' + + +@pytest.mark.asyncio +async def test_list_processor_types_async_from_dict(): + await test_list_processor_types_async(request_type=dict) + + +def test_list_processor_types_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.ListProcessorTypesRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processor_types), + '__call__') as call: + call.return_value = document_processor_service.ListProcessorTypesResponse() + client.list_processor_types(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_list_processor_types_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.ListProcessorTypesRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processor_types), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(document_processor_service.ListProcessorTypesResponse()) + await client.list_processor_types(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +def test_list_processor_types_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processor_types), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = document_processor_service.ListProcessorTypesResponse() + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.list_processor_types( + parent='parent_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].parent + mock_val = 'parent_value' + assert arg == mock_val + + +def test_list_processor_types_flattened_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.list_processor_types( + document_processor_service.ListProcessorTypesRequest(), + parent='parent_value', + ) + +@pytest.mark.asyncio +async def test_list_processor_types_flattened_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processor_types), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = document_processor_service.ListProcessorTypesResponse() + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(document_processor_service.ListProcessorTypesResponse()) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.list_processor_types( + parent='parent_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].parent + mock_val = 'parent_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_list_processor_types_flattened_error_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.list_processor_types( + document_processor_service.ListProcessorTypesRequest(), + parent='parent_value', + ) + + +def test_list_processor_types_pager(transport_name: str = "grpc"): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport_name, + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processor_types), + '__call__') as call: + # Set the response to a series of pages. + call.side_effect = ( + document_processor_service.ListProcessorTypesResponse( + processor_types=[ + processor_type.ProcessorType(), + processor_type.ProcessorType(), + processor_type.ProcessorType(), + ], + next_page_token='abc', + ), + document_processor_service.ListProcessorTypesResponse( + processor_types=[], + next_page_token='def', + ), + document_processor_service.ListProcessorTypesResponse( + processor_types=[ + processor_type.ProcessorType(), + ], + next_page_token='ghi', + ), + document_processor_service.ListProcessorTypesResponse( + processor_types=[ + processor_type.ProcessorType(), + processor_type.ProcessorType(), + ], + ), + RuntimeError, + ) + + metadata = () + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ('parent', ''), + )), + ) + pager = client.list_processor_types(request={}) + + assert pager._metadata == metadata + + results = list(pager) + assert len(results) == 6 + assert all(isinstance(i, processor_type.ProcessorType) + for i in results) +def test_list_processor_types_pages(transport_name: str = "grpc"): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport_name, + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processor_types), + '__call__') as call: + # Set the response to a series of pages. + call.side_effect = ( + document_processor_service.ListProcessorTypesResponse( + processor_types=[ + processor_type.ProcessorType(), + processor_type.ProcessorType(), + processor_type.ProcessorType(), + ], + next_page_token='abc', + ), + document_processor_service.ListProcessorTypesResponse( + processor_types=[], + next_page_token='def', + ), + document_processor_service.ListProcessorTypesResponse( + processor_types=[ + processor_type.ProcessorType(), + ], + next_page_token='ghi', + ), + document_processor_service.ListProcessorTypesResponse( + processor_types=[ + processor_type.ProcessorType(), + processor_type.ProcessorType(), + ], + ), + RuntimeError, + ) + pages = list(client.list_processor_types(request={}).pages) + for page_, token in zip(pages, ['abc','def','ghi', '']): + assert page_.raw_page.next_page_token == token + +@pytest.mark.asyncio +async def test_list_processor_types_async_pager(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processor_types), + '__call__', new_callable=mock.AsyncMock) as call: + # Set the response to a series of pages. + call.side_effect = ( + document_processor_service.ListProcessorTypesResponse( + processor_types=[ + processor_type.ProcessorType(), + processor_type.ProcessorType(), + processor_type.ProcessorType(), + ], + next_page_token='abc', + ), + document_processor_service.ListProcessorTypesResponse( + processor_types=[], + next_page_token='def', + ), + document_processor_service.ListProcessorTypesResponse( + processor_types=[ + processor_type.ProcessorType(), + ], + next_page_token='ghi', + ), + document_processor_service.ListProcessorTypesResponse( + processor_types=[ + processor_type.ProcessorType(), + processor_type.ProcessorType(), + ], + ), + RuntimeError, + ) + async_pager = await client.list_processor_types(request={},) + assert async_pager.next_page_token == 'abc' + responses = [] + async for response in async_pager: # pragma: no branch + responses.append(response) + + assert len(responses) == 6 + assert all(isinstance(i, processor_type.ProcessorType) + for i in responses) + + +@pytest.mark.asyncio +async def test_list_processor_types_async_pages(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processor_types), + '__call__', new_callable=mock.AsyncMock) as call: + # Set the response to a series of pages. + call.side_effect = ( + document_processor_service.ListProcessorTypesResponse( + processor_types=[ + processor_type.ProcessorType(), + processor_type.ProcessorType(), + processor_type.ProcessorType(), + ], + next_page_token='abc', + ), + document_processor_service.ListProcessorTypesResponse( + processor_types=[], + next_page_token='def', + ), + document_processor_service.ListProcessorTypesResponse( + processor_types=[ + processor_type.ProcessorType(), + ], + next_page_token='ghi', + ), + document_processor_service.ListProcessorTypesResponse( + processor_types=[ + processor_type.ProcessorType(), + processor_type.ProcessorType(), + ], + ), + RuntimeError, + ) + pages = [] + # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch` + # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372 + async for page_ in ( # pragma: no branch + await client.list_processor_types(request={}) + ).pages: + pages.append(page_) + for page_, token in zip(pages, ['abc','def','ghi', '']): + assert page_.raw_page.next_page_token == token + +@pytest.mark.parametrize("request_type", [ + document_processor_service.GetProcessorTypeRequest, + dict, +]) +def test_get_processor_type(request_type, transport: str = 'grpc'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_processor_type), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = processor_type.ProcessorType( + name='name_value', + type_='type__value', + category='category_value', + allow_creation=True, + launch_stage=launch_stage_pb2.LaunchStage.UNIMPLEMENTED, + sample_document_uris=['sample_document_uris_value'], + ) + response = client.get_processor_type(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.GetProcessorTypeRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, processor_type.ProcessorType) + assert response.name == 'name_value' + assert response.type_ == 'type__value' + assert response.category == 'category_value' + assert response.allow_creation is True + assert response.launch_stage == launch_stage_pb2.LaunchStage.UNIMPLEMENTED + assert response.sample_document_uris == ['sample_document_uris_value'] + + +def test_get_processor_type_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_processor_type), + '__call__') as call: + client.get_processor_type() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.GetProcessorTypeRequest() + +@pytest.mark.asyncio +async def test_get_processor_type_async(transport: str = 'grpc_asyncio', request_type=document_processor_service.GetProcessorTypeRequest): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_processor_type), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(processor_type.ProcessorType( + name='name_value', + type_='type__value', + category='category_value', + allow_creation=True, + launch_stage=launch_stage_pb2.LaunchStage.UNIMPLEMENTED, + sample_document_uris=['sample_document_uris_value'], + )) + response = await client.get_processor_type(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.GetProcessorTypeRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, processor_type.ProcessorType) + assert response.name == 'name_value' + assert response.type_ == 'type__value' + assert response.category == 'category_value' + assert response.allow_creation is True + assert response.launch_stage == launch_stage_pb2.LaunchStage.UNIMPLEMENTED + assert response.sample_document_uris == ['sample_document_uris_value'] + + +@pytest.mark.asyncio +async def test_get_processor_type_async_from_dict(): + await test_get_processor_type_async(request_type=dict) + + +def test_get_processor_type_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.GetProcessorTypeRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_processor_type), + '__call__') as call: + call.return_value = processor_type.ProcessorType() + client.get_processor_type(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_get_processor_type_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.GetProcessorTypeRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_processor_type), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(processor_type.ProcessorType()) + await client.get_processor_type(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +def test_get_processor_type_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_processor_type), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = processor_type.ProcessorType() + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.get_processor_type( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + + +def test_get_processor_type_flattened_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.get_processor_type( + document_processor_service.GetProcessorTypeRequest(), + name='name_value', + ) + +@pytest.mark.asyncio +async def test_get_processor_type_flattened_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_processor_type), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = processor_type.ProcessorType() + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(processor_type.ProcessorType()) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.get_processor_type( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_get_processor_type_flattened_error_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.get_processor_type( + document_processor_service.GetProcessorTypeRequest(), + name='name_value', + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.ListProcessorsRequest, + dict, +]) +def test_list_processors(request_type, transport: str = 'grpc'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processors), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = document_processor_service.ListProcessorsResponse( + next_page_token='next_page_token_value', + ) + response = client.list_processors(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.ListProcessorsRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, pagers.ListProcessorsPager) + assert response.next_page_token == 'next_page_token_value' + + +def test_list_processors_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processors), + '__call__') as call: + client.list_processors() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.ListProcessorsRequest() + +@pytest.mark.asyncio +async def test_list_processors_async(transport: str = 'grpc_asyncio', request_type=document_processor_service.ListProcessorsRequest): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processors), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(document_processor_service.ListProcessorsResponse( + next_page_token='next_page_token_value', + )) + response = await client.list_processors(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.ListProcessorsRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, pagers.ListProcessorsAsyncPager) + assert response.next_page_token == 'next_page_token_value' + + +@pytest.mark.asyncio +async def test_list_processors_async_from_dict(): + await test_list_processors_async(request_type=dict) + + +def test_list_processors_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.ListProcessorsRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processors), + '__call__') as call: + call.return_value = document_processor_service.ListProcessorsResponse() + client.list_processors(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_list_processors_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.ListProcessorsRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processors), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(document_processor_service.ListProcessorsResponse()) + await client.list_processors(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +def test_list_processors_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processors), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = document_processor_service.ListProcessorsResponse() + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.list_processors( + parent='parent_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].parent + mock_val = 'parent_value' + assert arg == mock_val + + +def test_list_processors_flattened_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.list_processors( + document_processor_service.ListProcessorsRequest(), + parent='parent_value', + ) + +@pytest.mark.asyncio +async def test_list_processors_flattened_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processors), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = document_processor_service.ListProcessorsResponse() + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(document_processor_service.ListProcessorsResponse()) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.list_processors( + parent='parent_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].parent + mock_val = 'parent_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_list_processors_flattened_error_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.list_processors( + document_processor_service.ListProcessorsRequest(), + parent='parent_value', + ) + + +def test_list_processors_pager(transport_name: str = "grpc"): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport_name, + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processors), + '__call__') as call: + # Set the response to a series of pages. + call.side_effect = ( + document_processor_service.ListProcessorsResponse( + processors=[ + processor.Processor(), + processor.Processor(), + processor.Processor(), + ], + next_page_token='abc', + ), + document_processor_service.ListProcessorsResponse( + processors=[], + next_page_token='def', + ), + document_processor_service.ListProcessorsResponse( + processors=[ + processor.Processor(), + ], + next_page_token='ghi', + ), + document_processor_service.ListProcessorsResponse( + processors=[ + processor.Processor(), + processor.Processor(), + ], + ), + RuntimeError, + ) + + metadata = () + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ('parent', ''), + )), + ) + pager = client.list_processors(request={}) + + assert pager._metadata == metadata + + results = list(pager) + assert len(results) == 6 + assert all(isinstance(i, processor.Processor) + for i in results) +def test_list_processors_pages(transport_name: str = "grpc"): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport_name, + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processors), + '__call__') as call: + # Set the response to a series of pages. + call.side_effect = ( + document_processor_service.ListProcessorsResponse( + processors=[ + processor.Processor(), + processor.Processor(), + processor.Processor(), + ], + next_page_token='abc', + ), + document_processor_service.ListProcessorsResponse( + processors=[], + next_page_token='def', + ), + document_processor_service.ListProcessorsResponse( + processors=[ + processor.Processor(), + ], + next_page_token='ghi', + ), + document_processor_service.ListProcessorsResponse( + processors=[ + processor.Processor(), + processor.Processor(), + ], + ), + RuntimeError, + ) + pages = list(client.list_processors(request={}).pages) + for page_, token in zip(pages, ['abc','def','ghi', '']): + assert page_.raw_page.next_page_token == token + +@pytest.mark.asyncio +async def test_list_processors_async_pager(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processors), + '__call__', new_callable=mock.AsyncMock) as call: + # Set the response to a series of pages. + call.side_effect = ( + document_processor_service.ListProcessorsResponse( + processors=[ + processor.Processor(), + processor.Processor(), + processor.Processor(), + ], + next_page_token='abc', + ), + document_processor_service.ListProcessorsResponse( + processors=[], + next_page_token='def', + ), + document_processor_service.ListProcessorsResponse( + processors=[ + processor.Processor(), + ], + next_page_token='ghi', + ), + document_processor_service.ListProcessorsResponse( + processors=[ + processor.Processor(), + processor.Processor(), + ], + ), + RuntimeError, + ) + async_pager = await client.list_processors(request={},) + assert async_pager.next_page_token == 'abc' + responses = [] + async for response in async_pager: # pragma: no branch + responses.append(response) + + assert len(responses) == 6 + assert all(isinstance(i, processor.Processor) + for i in responses) + + +@pytest.mark.asyncio +async def test_list_processors_async_pages(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processors), + '__call__', new_callable=mock.AsyncMock) as call: + # Set the response to a series of pages. + call.side_effect = ( + document_processor_service.ListProcessorsResponse( + processors=[ + processor.Processor(), + processor.Processor(), + processor.Processor(), + ], + next_page_token='abc', + ), + document_processor_service.ListProcessorsResponse( + processors=[], + next_page_token='def', + ), + document_processor_service.ListProcessorsResponse( + processors=[ + processor.Processor(), + ], + next_page_token='ghi', + ), + document_processor_service.ListProcessorsResponse( + processors=[ + processor.Processor(), + processor.Processor(), + ], + ), + RuntimeError, + ) + pages = [] + # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch` + # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372 + async for page_ in ( # pragma: no branch + await client.list_processors(request={}) + ).pages: + pages.append(page_) + for page_, token in zip(pages, ['abc','def','ghi', '']): + assert page_.raw_page.next_page_token == token + +@pytest.mark.parametrize("request_type", [ + document_processor_service.GetProcessorRequest, + dict, +]) +def test_get_processor(request_type, transport: str = 'grpc'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_processor), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = processor.Processor( + name='name_value', + type_='type__value', + display_name='display_name_value', + state=processor.Processor.State.ENABLED, + default_processor_version='default_processor_version_value', + process_endpoint='process_endpoint_value', + kms_key_name='kms_key_name_value', + ) + response = client.get_processor(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.GetProcessorRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, processor.Processor) + assert response.name == 'name_value' + assert response.type_ == 'type__value' + assert response.display_name == 'display_name_value' + assert response.state == processor.Processor.State.ENABLED + assert response.default_processor_version == 'default_processor_version_value' + assert response.process_endpoint == 'process_endpoint_value' + assert response.kms_key_name == 'kms_key_name_value' + + +def test_get_processor_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_processor), + '__call__') as call: + client.get_processor() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.GetProcessorRequest() + +@pytest.mark.asyncio +async def test_get_processor_async(transport: str = 'grpc_asyncio', request_type=document_processor_service.GetProcessorRequest): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_processor), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(processor.Processor( + name='name_value', + type_='type__value', + display_name='display_name_value', + state=processor.Processor.State.ENABLED, + default_processor_version='default_processor_version_value', + process_endpoint='process_endpoint_value', + kms_key_name='kms_key_name_value', + )) + response = await client.get_processor(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.GetProcessorRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, processor.Processor) + assert response.name == 'name_value' + assert response.type_ == 'type__value' + assert response.display_name == 'display_name_value' + assert response.state == processor.Processor.State.ENABLED + assert response.default_processor_version == 'default_processor_version_value' + assert response.process_endpoint == 'process_endpoint_value' + assert response.kms_key_name == 'kms_key_name_value' + + +@pytest.mark.asyncio +async def test_get_processor_async_from_dict(): + await test_get_processor_async(request_type=dict) + + +def test_get_processor_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.GetProcessorRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_processor), + '__call__') as call: + call.return_value = processor.Processor() + client.get_processor(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_get_processor_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.GetProcessorRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_processor), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(processor.Processor()) + await client.get_processor(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +def test_get_processor_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_processor), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = processor.Processor() + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.get_processor( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + + +def test_get_processor_flattened_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.get_processor( + document_processor_service.GetProcessorRequest(), + name='name_value', + ) + +@pytest.mark.asyncio +async def test_get_processor_flattened_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_processor), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = processor.Processor() + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(processor.Processor()) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.get_processor( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_get_processor_flattened_error_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.get_processor( + document_processor_service.GetProcessorRequest(), + name='name_value', + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.TrainProcessorVersionRequest, + dict, +]) +def test_train_processor_version(request_type, transport: str = 'grpc'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.train_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/spam') + response = client.train_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.TrainProcessorVersionRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +def test_train_processor_version_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.train_processor_version), + '__call__') as call: + client.train_processor_version() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.TrainProcessorVersionRequest() + +@pytest.mark.asyncio +async def test_train_processor_version_async(transport: str = 'grpc_asyncio', request_type=document_processor_service.TrainProcessorVersionRequest): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.train_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + response = await client.train_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.TrainProcessorVersionRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +@pytest.mark.asyncio +async def test_train_processor_version_async_from_dict(): + await test_train_processor_version_async(request_type=dict) + + +def test_train_processor_version_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.TrainProcessorVersionRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.train_processor_version), + '__call__') as call: + call.return_value = operations_pb2.Operation(name='operations/op') + client.train_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_train_processor_version_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.TrainProcessorVersionRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.train_processor_version), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) + await client.train_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +def test_train_processor_version_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.train_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.train_processor_version( + parent='parent_value', + processor_version=processor.ProcessorVersion(name='name_value'), + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].parent + mock_val = 'parent_value' + assert arg == mock_val + arg = args[0].processor_version + mock_val = processor.ProcessorVersion(name='name_value') + assert arg == mock_val + + +def test_train_processor_version_flattened_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.train_processor_version( + document_processor_service.TrainProcessorVersionRequest(), + parent='parent_value', + processor_version=processor.ProcessorVersion(name='name_value'), + ) + +@pytest.mark.asyncio +async def test_train_processor_version_flattened_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.train_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.train_processor_version( + parent='parent_value', + processor_version=processor.ProcessorVersion(name='name_value'), + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].parent + mock_val = 'parent_value' + assert arg == mock_val + arg = args[0].processor_version + mock_val = processor.ProcessorVersion(name='name_value') + assert arg == mock_val + +@pytest.mark.asyncio +async def test_train_processor_version_flattened_error_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.train_processor_version( + document_processor_service.TrainProcessorVersionRequest(), + parent='parent_value', + processor_version=processor.ProcessorVersion(name='name_value'), + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.GetProcessorVersionRequest, + dict, +]) +def test_get_processor_version(request_type, transport: str = 'grpc'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = processor.ProcessorVersion( + name='name_value', + display_name='display_name_value', + state=processor.ProcessorVersion.State.DEPLOYED, + kms_key_name='kms_key_name_value', + kms_key_version_name='kms_key_version_name_value', + google_managed=True, + model_type=processor.ProcessorVersion.ModelType.MODEL_TYPE_GENERATIVE, + ) + response = client.get_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.GetProcessorVersionRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, processor.ProcessorVersion) + assert response.name == 'name_value' + assert response.display_name == 'display_name_value' + assert response.state == processor.ProcessorVersion.State.DEPLOYED + assert response.kms_key_name == 'kms_key_name_value' + assert response.kms_key_version_name == 'kms_key_version_name_value' + assert response.google_managed is True + assert response.model_type == processor.ProcessorVersion.ModelType.MODEL_TYPE_GENERATIVE + + +def test_get_processor_version_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_processor_version), + '__call__') as call: + client.get_processor_version() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.GetProcessorVersionRequest() + +@pytest.mark.asyncio +async def test_get_processor_version_async(transport: str = 'grpc_asyncio', request_type=document_processor_service.GetProcessorVersionRequest): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(processor.ProcessorVersion( + name='name_value', + display_name='display_name_value', + state=processor.ProcessorVersion.State.DEPLOYED, + kms_key_name='kms_key_name_value', + kms_key_version_name='kms_key_version_name_value', + google_managed=True, + model_type=processor.ProcessorVersion.ModelType.MODEL_TYPE_GENERATIVE, + )) + response = await client.get_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.GetProcessorVersionRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, processor.ProcessorVersion) + assert response.name == 'name_value' + assert response.display_name == 'display_name_value' + assert response.state == processor.ProcessorVersion.State.DEPLOYED + assert response.kms_key_name == 'kms_key_name_value' + assert response.kms_key_version_name == 'kms_key_version_name_value' + assert response.google_managed is True + assert response.model_type == processor.ProcessorVersion.ModelType.MODEL_TYPE_GENERATIVE + + +@pytest.mark.asyncio +async def test_get_processor_version_async_from_dict(): + await test_get_processor_version_async(request_type=dict) + + +def test_get_processor_version_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.GetProcessorVersionRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_processor_version), + '__call__') as call: + call.return_value = processor.ProcessorVersion() + client.get_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_get_processor_version_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.GetProcessorVersionRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_processor_version), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(processor.ProcessorVersion()) + await client.get_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +def test_get_processor_version_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = processor.ProcessorVersion() + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.get_processor_version( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + + +def test_get_processor_version_flattened_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.get_processor_version( + document_processor_service.GetProcessorVersionRequest(), + name='name_value', + ) + +@pytest.mark.asyncio +async def test_get_processor_version_flattened_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = processor.ProcessorVersion() + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(processor.ProcessorVersion()) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.get_processor_version( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_get_processor_version_flattened_error_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.get_processor_version( + document_processor_service.GetProcessorVersionRequest(), + name='name_value', + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.ListProcessorVersionsRequest, + dict, +]) +def test_list_processor_versions(request_type, transport: str = 'grpc'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processor_versions), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = document_processor_service.ListProcessorVersionsResponse( + next_page_token='next_page_token_value', + ) + response = client.list_processor_versions(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.ListProcessorVersionsRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, pagers.ListProcessorVersionsPager) + assert response.next_page_token == 'next_page_token_value' + + +def test_list_processor_versions_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processor_versions), + '__call__') as call: + client.list_processor_versions() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.ListProcessorVersionsRequest() + +@pytest.mark.asyncio +async def test_list_processor_versions_async(transport: str = 'grpc_asyncio', request_type=document_processor_service.ListProcessorVersionsRequest): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processor_versions), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(document_processor_service.ListProcessorVersionsResponse( + next_page_token='next_page_token_value', + )) + response = await client.list_processor_versions(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.ListProcessorVersionsRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, pagers.ListProcessorVersionsAsyncPager) + assert response.next_page_token == 'next_page_token_value' + + +@pytest.mark.asyncio +async def test_list_processor_versions_async_from_dict(): + await test_list_processor_versions_async(request_type=dict) + + +def test_list_processor_versions_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.ListProcessorVersionsRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processor_versions), + '__call__') as call: + call.return_value = document_processor_service.ListProcessorVersionsResponse() + client.list_processor_versions(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_list_processor_versions_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.ListProcessorVersionsRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processor_versions), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(document_processor_service.ListProcessorVersionsResponse()) + await client.list_processor_versions(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +def test_list_processor_versions_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processor_versions), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = document_processor_service.ListProcessorVersionsResponse() + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.list_processor_versions( + parent='parent_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].parent + mock_val = 'parent_value' + assert arg == mock_val + + +def test_list_processor_versions_flattened_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.list_processor_versions( + document_processor_service.ListProcessorVersionsRequest(), + parent='parent_value', + ) + +@pytest.mark.asyncio +async def test_list_processor_versions_flattened_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processor_versions), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = document_processor_service.ListProcessorVersionsResponse() + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(document_processor_service.ListProcessorVersionsResponse()) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.list_processor_versions( + parent='parent_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].parent + mock_val = 'parent_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_list_processor_versions_flattened_error_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.list_processor_versions( + document_processor_service.ListProcessorVersionsRequest(), + parent='parent_value', + ) + + +def test_list_processor_versions_pager(transport_name: str = "grpc"): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport_name, + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processor_versions), + '__call__') as call: + # Set the response to a series of pages. + call.side_effect = ( + document_processor_service.ListProcessorVersionsResponse( + processor_versions=[ + processor.ProcessorVersion(), + processor.ProcessorVersion(), + processor.ProcessorVersion(), + ], + next_page_token='abc', + ), + document_processor_service.ListProcessorVersionsResponse( + processor_versions=[], + next_page_token='def', + ), + document_processor_service.ListProcessorVersionsResponse( + processor_versions=[ + processor.ProcessorVersion(), + ], + next_page_token='ghi', + ), + document_processor_service.ListProcessorVersionsResponse( + processor_versions=[ + processor.ProcessorVersion(), + processor.ProcessorVersion(), + ], + ), + RuntimeError, + ) + + metadata = () + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ('parent', ''), + )), + ) + pager = client.list_processor_versions(request={}) + + assert pager._metadata == metadata + + results = list(pager) + assert len(results) == 6 + assert all(isinstance(i, processor.ProcessorVersion) + for i in results) +def test_list_processor_versions_pages(transport_name: str = "grpc"): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport_name, + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processor_versions), + '__call__') as call: + # Set the response to a series of pages. + call.side_effect = ( + document_processor_service.ListProcessorVersionsResponse( + processor_versions=[ + processor.ProcessorVersion(), + processor.ProcessorVersion(), + processor.ProcessorVersion(), + ], + next_page_token='abc', + ), + document_processor_service.ListProcessorVersionsResponse( + processor_versions=[], + next_page_token='def', + ), + document_processor_service.ListProcessorVersionsResponse( + processor_versions=[ + processor.ProcessorVersion(), + ], + next_page_token='ghi', + ), + document_processor_service.ListProcessorVersionsResponse( + processor_versions=[ + processor.ProcessorVersion(), + processor.ProcessorVersion(), + ], + ), + RuntimeError, + ) + pages = list(client.list_processor_versions(request={}).pages) + for page_, token in zip(pages, ['abc','def','ghi', '']): + assert page_.raw_page.next_page_token == token + +@pytest.mark.asyncio +async def test_list_processor_versions_async_pager(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processor_versions), + '__call__', new_callable=mock.AsyncMock) as call: + # Set the response to a series of pages. + call.side_effect = ( + document_processor_service.ListProcessorVersionsResponse( + processor_versions=[ + processor.ProcessorVersion(), + processor.ProcessorVersion(), + processor.ProcessorVersion(), + ], + next_page_token='abc', + ), + document_processor_service.ListProcessorVersionsResponse( + processor_versions=[], + next_page_token='def', + ), + document_processor_service.ListProcessorVersionsResponse( + processor_versions=[ + processor.ProcessorVersion(), + ], + next_page_token='ghi', + ), + document_processor_service.ListProcessorVersionsResponse( + processor_versions=[ + processor.ProcessorVersion(), + processor.ProcessorVersion(), + ], + ), + RuntimeError, + ) + async_pager = await client.list_processor_versions(request={},) + assert async_pager.next_page_token == 'abc' + responses = [] + async for response in async_pager: # pragma: no branch + responses.append(response) + + assert len(responses) == 6 + assert all(isinstance(i, processor.ProcessorVersion) + for i in responses) + + +@pytest.mark.asyncio +async def test_list_processor_versions_async_pages(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processor_versions), + '__call__', new_callable=mock.AsyncMock) as call: + # Set the response to a series of pages. + call.side_effect = ( + document_processor_service.ListProcessorVersionsResponse( + processor_versions=[ + processor.ProcessorVersion(), + processor.ProcessorVersion(), + processor.ProcessorVersion(), + ], + next_page_token='abc', + ), + document_processor_service.ListProcessorVersionsResponse( + processor_versions=[], + next_page_token='def', + ), + document_processor_service.ListProcessorVersionsResponse( + processor_versions=[ + processor.ProcessorVersion(), + ], + next_page_token='ghi', + ), + document_processor_service.ListProcessorVersionsResponse( + processor_versions=[ + processor.ProcessorVersion(), + processor.ProcessorVersion(), + ], + ), + RuntimeError, + ) + pages = [] + # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch` + # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372 + async for page_ in ( # pragma: no branch + await client.list_processor_versions(request={}) + ).pages: + pages.append(page_) + for page_, token in zip(pages, ['abc','def','ghi', '']): + assert page_.raw_page.next_page_token == token + +@pytest.mark.parametrize("request_type", [ + document_processor_service.DeleteProcessorVersionRequest, + dict, +]) +def test_delete_processor_version(request_type, transport: str = 'grpc'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/spam') + response = client.delete_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.DeleteProcessorVersionRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +def test_delete_processor_version_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_processor_version), + '__call__') as call: + client.delete_processor_version() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.DeleteProcessorVersionRequest() + +@pytest.mark.asyncio +async def test_delete_processor_version_async(transport: str = 'grpc_asyncio', request_type=document_processor_service.DeleteProcessorVersionRequest): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + response = await client.delete_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.DeleteProcessorVersionRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +@pytest.mark.asyncio +async def test_delete_processor_version_async_from_dict(): + await test_delete_processor_version_async(request_type=dict) + + +def test_delete_processor_version_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.DeleteProcessorVersionRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_processor_version), + '__call__') as call: + call.return_value = operations_pb2.Operation(name='operations/op') + client.delete_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_delete_processor_version_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.DeleteProcessorVersionRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_processor_version), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) + await client.delete_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +def test_delete_processor_version_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.delete_processor_version( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + + +def test_delete_processor_version_flattened_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.delete_processor_version( + document_processor_service.DeleteProcessorVersionRequest(), + name='name_value', + ) + +@pytest.mark.asyncio +async def test_delete_processor_version_flattened_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.delete_processor_version( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_delete_processor_version_flattened_error_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.delete_processor_version( + document_processor_service.DeleteProcessorVersionRequest(), + name='name_value', + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.DeployProcessorVersionRequest, + dict, +]) +def test_deploy_processor_version(request_type, transport: str = 'grpc'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.deploy_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/spam') + response = client.deploy_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.DeployProcessorVersionRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +def test_deploy_processor_version_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.deploy_processor_version), + '__call__') as call: + client.deploy_processor_version() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.DeployProcessorVersionRequest() + +@pytest.mark.asyncio +async def test_deploy_processor_version_async(transport: str = 'grpc_asyncio', request_type=document_processor_service.DeployProcessorVersionRequest): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.deploy_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + response = await client.deploy_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.DeployProcessorVersionRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +@pytest.mark.asyncio +async def test_deploy_processor_version_async_from_dict(): + await test_deploy_processor_version_async(request_type=dict) + + +def test_deploy_processor_version_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.DeployProcessorVersionRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.deploy_processor_version), + '__call__') as call: + call.return_value = operations_pb2.Operation(name='operations/op') + client.deploy_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_deploy_processor_version_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.DeployProcessorVersionRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.deploy_processor_version), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) + await client.deploy_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +def test_deploy_processor_version_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.deploy_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.deploy_processor_version( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + + +def test_deploy_processor_version_flattened_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.deploy_processor_version( + document_processor_service.DeployProcessorVersionRequest(), + name='name_value', + ) + +@pytest.mark.asyncio +async def test_deploy_processor_version_flattened_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.deploy_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.deploy_processor_version( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_deploy_processor_version_flattened_error_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.deploy_processor_version( + document_processor_service.DeployProcessorVersionRequest(), + name='name_value', + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.UndeployProcessorVersionRequest, + dict, +]) +def test_undeploy_processor_version(request_type, transport: str = 'grpc'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.undeploy_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/spam') + response = client.undeploy_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.UndeployProcessorVersionRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +def test_undeploy_processor_version_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.undeploy_processor_version), + '__call__') as call: + client.undeploy_processor_version() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.UndeployProcessorVersionRequest() + +@pytest.mark.asyncio +async def test_undeploy_processor_version_async(transport: str = 'grpc_asyncio', request_type=document_processor_service.UndeployProcessorVersionRequest): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.undeploy_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + response = await client.undeploy_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.UndeployProcessorVersionRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +@pytest.mark.asyncio +async def test_undeploy_processor_version_async_from_dict(): + await test_undeploy_processor_version_async(request_type=dict) + + +def test_undeploy_processor_version_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.UndeployProcessorVersionRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.undeploy_processor_version), + '__call__') as call: + call.return_value = operations_pb2.Operation(name='operations/op') + client.undeploy_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_undeploy_processor_version_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.UndeployProcessorVersionRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.undeploy_processor_version), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) + await client.undeploy_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +def test_undeploy_processor_version_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.undeploy_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.undeploy_processor_version( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + + +def test_undeploy_processor_version_flattened_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.undeploy_processor_version( + document_processor_service.UndeployProcessorVersionRequest(), + name='name_value', + ) + +@pytest.mark.asyncio +async def test_undeploy_processor_version_flattened_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.undeploy_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.undeploy_processor_version( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_undeploy_processor_version_flattened_error_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.undeploy_processor_version( + document_processor_service.UndeployProcessorVersionRequest(), + name='name_value', + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.CreateProcessorRequest, + dict, +]) +def test_create_processor(request_type, transport: str = 'grpc'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.create_processor), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = gcd_processor.Processor( + name='name_value', + type_='type__value', + display_name='display_name_value', + state=gcd_processor.Processor.State.ENABLED, + default_processor_version='default_processor_version_value', + process_endpoint='process_endpoint_value', + kms_key_name='kms_key_name_value', + ) + response = client.create_processor(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.CreateProcessorRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, gcd_processor.Processor) + assert response.name == 'name_value' + assert response.type_ == 'type__value' + assert response.display_name == 'display_name_value' + assert response.state == gcd_processor.Processor.State.ENABLED + assert response.default_processor_version == 'default_processor_version_value' + assert response.process_endpoint == 'process_endpoint_value' + assert response.kms_key_name == 'kms_key_name_value' + + +def test_create_processor_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.create_processor), + '__call__') as call: + client.create_processor() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.CreateProcessorRequest() + +@pytest.mark.asyncio +async def test_create_processor_async(transport: str = 'grpc_asyncio', request_type=document_processor_service.CreateProcessorRequest): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.create_processor), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(gcd_processor.Processor( + name='name_value', + type_='type__value', + display_name='display_name_value', + state=gcd_processor.Processor.State.ENABLED, + default_processor_version='default_processor_version_value', + process_endpoint='process_endpoint_value', + kms_key_name='kms_key_name_value', + )) + response = await client.create_processor(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.CreateProcessorRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, gcd_processor.Processor) + assert response.name == 'name_value' + assert response.type_ == 'type__value' + assert response.display_name == 'display_name_value' + assert response.state == gcd_processor.Processor.State.ENABLED + assert response.default_processor_version == 'default_processor_version_value' + assert response.process_endpoint == 'process_endpoint_value' + assert response.kms_key_name == 'kms_key_name_value' + + +@pytest.mark.asyncio +async def test_create_processor_async_from_dict(): + await test_create_processor_async(request_type=dict) + + +def test_create_processor_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.CreateProcessorRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.create_processor), + '__call__') as call: + call.return_value = gcd_processor.Processor() + client.create_processor(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_create_processor_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.CreateProcessorRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.create_processor), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(gcd_processor.Processor()) + await client.create_processor(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +def test_create_processor_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.create_processor), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = gcd_processor.Processor() + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.create_processor( + parent='parent_value', + processor=gcd_processor.Processor(name='name_value'), + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].parent + mock_val = 'parent_value' + assert arg == mock_val + arg = args[0].processor + mock_val = gcd_processor.Processor(name='name_value') + assert arg == mock_val + + +def test_create_processor_flattened_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.create_processor( + document_processor_service.CreateProcessorRequest(), + parent='parent_value', + processor=gcd_processor.Processor(name='name_value'), + ) + +@pytest.mark.asyncio +async def test_create_processor_flattened_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.create_processor), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = gcd_processor.Processor() + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(gcd_processor.Processor()) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.create_processor( + parent='parent_value', + processor=gcd_processor.Processor(name='name_value'), + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].parent + mock_val = 'parent_value' + assert arg == mock_val + arg = args[0].processor + mock_val = gcd_processor.Processor(name='name_value') + assert arg == mock_val + +@pytest.mark.asyncio +async def test_create_processor_flattened_error_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.create_processor( + document_processor_service.CreateProcessorRequest(), + parent='parent_value', + processor=gcd_processor.Processor(name='name_value'), + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.DeleteProcessorRequest, + dict, +]) +def test_delete_processor(request_type, transport: str = 'grpc'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_processor), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/spam') + response = client.delete_processor(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.DeleteProcessorRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +def test_delete_processor_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_processor), + '__call__') as call: + client.delete_processor() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.DeleteProcessorRequest() + +@pytest.mark.asyncio +async def test_delete_processor_async(transport: str = 'grpc_asyncio', request_type=document_processor_service.DeleteProcessorRequest): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_processor), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + response = await client.delete_processor(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.DeleteProcessorRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +@pytest.mark.asyncio +async def test_delete_processor_async_from_dict(): + await test_delete_processor_async(request_type=dict) + + +def test_delete_processor_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.DeleteProcessorRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_processor), + '__call__') as call: + call.return_value = operations_pb2.Operation(name='operations/op') + client.delete_processor(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_delete_processor_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.DeleteProcessorRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_processor), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) + await client.delete_processor(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +def test_delete_processor_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_processor), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.delete_processor( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + + +def test_delete_processor_flattened_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.delete_processor( + document_processor_service.DeleteProcessorRequest(), + name='name_value', + ) + +@pytest.mark.asyncio +async def test_delete_processor_flattened_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_processor), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.delete_processor( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_delete_processor_flattened_error_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.delete_processor( + document_processor_service.DeleteProcessorRequest(), + name='name_value', + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.EnableProcessorRequest, + dict, +]) +def test_enable_processor(request_type, transport: str = 'grpc'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.enable_processor), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/spam') + response = client.enable_processor(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.EnableProcessorRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +def test_enable_processor_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.enable_processor), + '__call__') as call: + client.enable_processor() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.EnableProcessorRequest() + +@pytest.mark.asyncio +async def test_enable_processor_async(transport: str = 'grpc_asyncio', request_type=document_processor_service.EnableProcessorRequest): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.enable_processor), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + response = await client.enable_processor(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.EnableProcessorRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +@pytest.mark.asyncio +async def test_enable_processor_async_from_dict(): + await test_enable_processor_async(request_type=dict) + + +def test_enable_processor_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.EnableProcessorRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.enable_processor), + '__call__') as call: + call.return_value = operations_pb2.Operation(name='operations/op') + client.enable_processor(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_enable_processor_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.EnableProcessorRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.enable_processor), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) + await client.enable_processor(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.DisableProcessorRequest, + dict, +]) +def test_disable_processor(request_type, transport: str = 'grpc'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.disable_processor), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/spam') + response = client.disable_processor(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.DisableProcessorRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +def test_disable_processor_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.disable_processor), + '__call__') as call: + client.disable_processor() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.DisableProcessorRequest() + +@pytest.mark.asyncio +async def test_disable_processor_async(transport: str = 'grpc_asyncio', request_type=document_processor_service.DisableProcessorRequest): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.disable_processor), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + response = await client.disable_processor(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.DisableProcessorRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +@pytest.mark.asyncio +async def test_disable_processor_async_from_dict(): + await test_disable_processor_async(request_type=dict) + + +def test_disable_processor_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.DisableProcessorRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.disable_processor), + '__call__') as call: + call.return_value = operations_pb2.Operation(name='operations/op') + client.disable_processor(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_disable_processor_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.DisableProcessorRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.disable_processor), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) + await client.disable_processor(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.SetDefaultProcessorVersionRequest, + dict, +]) +def test_set_default_processor_version(request_type, transport: str = 'grpc'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.set_default_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/spam') + response = client.set_default_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.SetDefaultProcessorVersionRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +def test_set_default_processor_version_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.set_default_processor_version), + '__call__') as call: + client.set_default_processor_version() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.SetDefaultProcessorVersionRequest() + +@pytest.mark.asyncio +async def test_set_default_processor_version_async(transport: str = 'grpc_asyncio', request_type=document_processor_service.SetDefaultProcessorVersionRequest): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.set_default_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + response = await client.set_default_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.SetDefaultProcessorVersionRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +@pytest.mark.asyncio +async def test_set_default_processor_version_async_from_dict(): + await test_set_default_processor_version_async(request_type=dict) + + +def test_set_default_processor_version_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.SetDefaultProcessorVersionRequest() + + request.processor = 'processor_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.set_default_processor_version), + '__call__') as call: + call.return_value = operations_pb2.Operation(name='operations/op') + client.set_default_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'processor=processor_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_set_default_processor_version_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.SetDefaultProcessorVersionRequest() + + request.processor = 'processor_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.set_default_processor_version), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) + await client.set_default_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'processor=processor_value', + ) in kw['metadata'] + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.ReviewDocumentRequest, + dict, +]) +def test_review_document(request_type, transport: str = 'grpc'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.review_document), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/spam') + response = client.review_document(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.ReviewDocumentRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +def test_review_document_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.review_document), + '__call__') as call: + client.review_document() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.ReviewDocumentRequest() + +@pytest.mark.asyncio +async def test_review_document_async(transport: str = 'grpc_asyncio', request_type=document_processor_service.ReviewDocumentRequest): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.review_document), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + response = await client.review_document(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.ReviewDocumentRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +@pytest.mark.asyncio +async def test_review_document_async_from_dict(): + await test_review_document_async(request_type=dict) + + +def test_review_document_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.ReviewDocumentRequest() + + request.human_review_config = 'human_review_config_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.review_document), + '__call__') as call: + call.return_value = operations_pb2.Operation(name='operations/op') + client.review_document(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'human_review_config=human_review_config_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_review_document_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.ReviewDocumentRequest() + + request.human_review_config = 'human_review_config_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.review_document), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) + await client.review_document(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'human_review_config=human_review_config_value', + ) in kw['metadata'] + + +def test_review_document_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.review_document), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.review_document( + human_review_config='human_review_config_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].human_review_config + mock_val = 'human_review_config_value' + assert arg == mock_val + + +def test_review_document_flattened_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.review_document( + document_processor_service.ReviewDocumentRequest(), + human_review_config='human_review_config_value', + ) + +@pytest.mark.asyncio +async def test_review_document_flattened_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.review_document), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.review_document( + human_review_config='human_review_config_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].human_review_config + mock_val = 'human_review_config_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_review_document_flattened_error_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.review_document( + document_processor_service.ReviewDocumentRequest(), + human_review_config='human_review_config_value', + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.EvaluateProcessorVersionRequest, + dict, +]) +def test_evaluate_processor_version(request_type, transport: str = 'grpc'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.evaluate_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/spam') + response = client.evaluate_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.EvaluateProcessorVersionRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +def test_evaluate_processor_version_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.evaluate_processor_version), + '__call__') as call: + client.evaluate_processor_version() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.EvaluateProcessorVersionRequest() + +@pytest.mark.asyncio +async def test_evaluate_processor_version_async(transport: str = 'grpc_asyncio', request_type=document_processor_service.EvaluateProcessorVersionRequest): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.evaluate_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + response = await client.evaluate_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.EvaluateProcessorVersionRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +@pytest.mark.asyncio +async def test_evaluate_processor_version_async_from_dict(): + await test_evaluate_processor_version_async(request_type=dict) + + +def test_evaluate_processor_version_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.EvaluateProcessorVersionRequest() + + request.processor_version = 'processor_version_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.evaluate_processor_version), + '__call__') as call: + call.return_value = operations_pb2.Operation(name='operations/op') + client.evaluate_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'processor_version=processor_version_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_evaluate_processor_version_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.EvaluateProcessorVersionRequest() + + request.processor_version = 'processor_version_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.evaluate_processor_version), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) + await client.evaluate_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'processor_version=processor_version_value', + ) in kw['metadata'] + + +def test_evaluate_processor_version_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.evaluate_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.evaluate_processor_version( + processor_version='processor_version_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].processor_version + mock_val = 'processor_version_value' + assert arg == mock_val + + +def test_evaluate_processor_version_flattened_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.evaluate_processor_version( + document_processor_service.EvaluateProcessorVersionRequest(), + processor_version='processor_version_value', + ) + +@pytest.mark.asyncio +async def test_evaluate_processor_version_flattened_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.evaluate_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.evaluate_processor_version( + processor_version='processor_version_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].processor_version + mock_val = 'processor_version_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_evaluate_processor_version_flattened_error_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.evaluate_processor_version( + document_processor_service.EvaluateProcessorVersionRequest(), + processor_version='processor_version_value', + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.GetEvaluationRequest, + dict, +]) +def test_get_evaluation(request_type, transport: str = 'grpc'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_evaluation), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = evaluation.Evaluation( + name='name_value', + kms_key_name='kms_key_name_value', + kms_key_version_name='kms_key_version_name_value', + ) + response = client.get_evaluation(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.GetEvaluationRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, evaluation.Evaluation) + assert response.name == 'name_value' + assert response.kms_key_name == 'kms_key_name_value' + assert response.kms_key_version_name == 'kms_key_version_name_value' + + +def test_get_evaluation_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_evaluation), + '__call__') as call: + client.get_evaluation() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.GetEvaluationRequest() + +@pytest.mark.asyncio +async def test_get_evaluation_async(transport: str = 'grpc_asyncio', request_type=document_processor_service.GetEvaluationRequest): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_evaluation), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(evaluation.Evaluation( + name='name_value', + kms_key_name='kms_key_name_value', + kms_key_version_name='kms_key_version_name_value', + )) + response = await client.get_evaluation(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.GetEvaluationRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, evaluation.Evaluation) + assert response.name == 'name_value' + assert response.kms_key_name == 'kms_key_name_value' + assert response.kms_key_version_name == 'kms_key_version_name_value' + + +@pytest.mark.asyncio +async def test_get_evaluation_async_from_dict(): + await test_get_evaluation_async(request_type=dict) + + +def test_get_evaluation_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.GetEvaluationRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_evaluation), + '__call__') as call: + call.return_value = evaluation.Evaluation() + client.get_evaluation(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_get_evaluation_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.GetEvaluationRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_evaluation), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(evaluation.Evaluation()) + await client.get_evaluation(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +def test_get_evaluation_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_evaluation), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = evaluation.Evaluation() + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.get_evaluation( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + + +def test_get_evaluation_flattened_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.get_evaluation( + document_processor_service.GetEvaluationRequest(), + name='name_value', + ) + +@pytest.mark.asyncio +async def test_get_evaluation_flattened_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_evaluation), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = evaluation.Evaluation() + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(evaluation.Evaluation()) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.get_evaluation( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_get_evaluation_flattened_error_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.get_evaluation( + document_processor_service.GetEvaluationRequest(), + name='name_value', + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.ListEvaluationsRequest, + dict, +]) +def test_list_evaluations(request_type, transport: str = 'grpc'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_evaluations), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = document_processor_service.ListEvaluationsResponse( + next_page_token='next_page_token_value', + ) + response = client.list_evaluations(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.ListEvaluationsRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, pagers.ListEvaluationsPager) + assert response.next_page_token == 'next_page_token_value' + + +def test_list_evaluations_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_evaluations), + '__call__') as call: + client.list_evaluations() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.ListEvaluationsRequest() + +@pytest.mark.asyncio +async def test_list_evaluations_async(transport: str = 'grpc_asyncio', request_type=document_processor_service.ListEvaluationsRequest): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_evaluations), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(document_processor_service.ListEvaluationsResponse( + next_page_token='next_page_token_value', + )) + response = await client.list_evaluations(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.ListEvaluationsRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, pagers.ListEvaluationsAsyncPager) + assert response.next_page_token == 'next_page_token_value' + + +@pytest.mark.asyncio +async def test_list_evaluations_async_from_dict(): + await test_list_evaluations_async(request_type=dict) + + +def test_list_evaluations_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.ListEvaluationsRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_evaluations), + '__call__') as call: + call.return_value = document_processor_service.ListEvaluationsResponse() + client.list_evaluations(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_list_evaluations_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.ListEvaluationsRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_evaluations), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(document_processor_service.ListEvaluationsResponse()) + await client.list_evaluations(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +def test_list_evaluations_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_evaluations), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = document_processor_service.ListEvaluationsResponse() + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.list_evaluations( + parent='parent_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].parent + mock_val = 'parent_value' + assert arg == mock_val + + +def test_list_evaluations_flattened_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.list_evaluations( + document_processor_service.ListEvaluationsRequest(), + parent='parent_value', + ) + +@pytest.mark.asyncio +async def test_list_evaluations_flattened_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_evaluations), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = document_processor_service.ListEvaluationsResponse() + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(document_processor_service.ListEvaluationsResponse()) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.list_evaluations( + parent='parent_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].parent + mock_val = 'parent_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_list_evaluations_flattened_error_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.list_evaluations( + document_processor_service.ListEvaluationsRequest(), + parent='parent_value', + ) + + +def test_list_evaluations_pager(transport_name: str = "grpc"): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport_name, + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_evaluations), + '__call__') as call: + # Set the response to a series of pages. + call.side_effect = ( + document_processor_service.ListEvaluationsResponse( + evaluations=[ + evaluation.Evaluation(), + evaluation.Evaluation(), + evaluation.Evaluation(), + ], + next_page_token='abc', + ), + document_processor_service.ListEvaluationsResponse( + evaluations=[], + next_page_token='def', + ), + document_processor_service.ListEvaluationsResponse( + evaluations=[ + evaluation.Evaluation(), + ], + next_page_token='ghi', + ), + document_processor_service.ListEvaluationsResponse( + evaluations=[ + evaluation.Evaluation(), + evaluation.Evaluation(), + ], + ), + RuntimeError, + ) + + metadata = () + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ('parent', ''), + )), + ) + pager = client.list_evaluations(request={}) + + assert pager._metadata == metadata + + results = list(pager) + assert len(results) == 6 + assert all(isinstance(i, evaluation.Evaluation) + for i in results) +def test_list_evaluations_pages(transport_name: str = "grpc"): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport_name, + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_evaluations), + '__call__') as call: + # Set the response to a series of pages. + call.side_effect = ( + document_processor_service.ListEvaluationsResponse( + evaluations=[ + evaluation.Evaluation(), + evaluation.Evaluation(), + evaluation.Evaluation(), + ], + next_page_token='abc', + ), + document_processor_service.ListEvaluationsResponse( + evaluations=[], + next_page_token='def', + ), + document_processor_service.ListEvaluationsResponse( + evaluations=[ + evaluation.Evaluation(), + ], + next_page_token='ghi', + ), + document_processor_service.ListEvaluationsResponse( + evaluations=[ + evaluation.Evaluation(), + evaluation.Evaluation(), + ], + ), + RuntimeError, + ) + pages = list(client.list_evaluations(request={}).pages) + for page_, token in zip(pages, ['abc','def','ghi', '']): + assert page_.raw_page.next_page_token == token + +@pytest.mark.asyncio +async def test_list_evaluations_async_pager(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_evaluations), + '__call__', new_callable=mock.AsyncMock) as call: + # Set the response to a series of pages. + call.side_effect = ( + document_processor_service.ListEvaluationsResponse( + evaluations=[ + evaluation.Evaluation(), + evaluation.Evaluation(), + evaluation.Evaluation(), + ], + next_page_token='abc', + ), + document_processor_service.ListEvaluationsResponse( + evaluations=[], + next_page_token='def', + ), + document_processor_service.ListEvaluationsResponse( + evaluations=[ + evaluation.Evaluation(), + ], + next_page_token='ghi', + ), + document_processor_service.ListEvaluationsResponse( + evaluations=[ + evaluation.Evaluation(), + evaluation.Evaluation(), + ], + ), + RuntimeError, + ) + async_pager = await client.list_evaluations(request={},) + assert async_pager.next_page_token == 'abc' + responses = [] + async for response in async_pager: # pragma: no branch + responses.append(response) + + assert len(responses) == 6 + assert all(isinstance(i, evaluation.Evaluation) + for i in responses) + + +@pytest.mark.asyncio +async def test_list_evaluations_async_pages(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_evaluations), + '__call__', new_callable=mock.AsyncMock) as call: + # Set the response to a series of pages. + call.side_effect = ( + document_processor_service.ListEvaluationsResponse( + evaluations=[ + evaluation.Evaluation(), + evaluation.Evaluation(), + evaluation.Evaluation(), + ], + next_page_token='abc', + ), + document_processor_service.ListEvaluationsResponse( + evaluations=[], + next_page_token='def', + ), + document_processor_service.ListEvaluationsResponse( + evaluations=[ + evaluation.Evaluation(), + ], + next_page_token='ghi', + ), + document_processor_service.ListEvaluationsResponse( + evaluations=[ + evaluation.Evaluation(), + evaluation.Evaluation(), + ], + ), + RuntimeError, + ) + pages = [] + # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch` + # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372 + async for page_ in ( # pragma: no branch + await client.list_evaluations(request={}) + ).pages: + pages.append(page_) + for page_, token in zip(pages, ['abc','def','ghi', '']): + assert page_.raw_page.next_page_token == token + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.ProcessRequest, + dict, +]) +def test_process_document_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processors/sample3'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = document_processor_service.ProcessResponse( + ) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = document_processor_service.ProcessResponse.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.process_document(request) + + # Establish that the response is the type that we expect. + assert isinstance(response, document_processor_service.ProcessResponse) + + +def test_process_document_rest_required_fields(request_type=document_processor_service.ProcessRequest): + transport_class = transports.DocumentProcessorServiceRestTransport + + request_init = {} + request_init["name"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).process_document._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["name"] = 'name_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).process_document._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "name" in jsonified_request + assert jsonified_request["name"] == 'name_value' + + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = document_processor_service.ProcessResponse() + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "post", + 'query_params': pb_request, + } + transcode_result['body'] = pb_request + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + + # Convert return value to protobuf type + return_value = document_processor_service.ProcessResponse.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.process_document(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_process_document_rest_unset_required_fields(): + transport = transports.DocumentProcessorServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.process_document._get_unset_required_fields({}) + assert set(unset_fields) == (set(()) & set(("name", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_process_document_rest_interceptors(null_interceptor): + transport = transports.DocumentProcessorServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentProcessorServiceRestInterceptor(), + ) + client = DocumentProcessorServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "post_process_document") as post, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "pre_process_document") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_processor_service.ProcessRequest.pb(document_processor_service.ProcessRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = document_processor_service.ProcessResponse.to_json(document_processor_service.ProcessResponse()) + + request = document_processor_service.ProcessRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = document_processor_service.ProcessResponse() + + client.process_document(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_process_document_rest_bad_request(transport: str = 'rest', request_type=document_processor_service.ProcessRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processors/sample3'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.process_document(request) + + +def test_process_document_rest_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = document_processor_service.ProcessResponse() + + # get arguments that satisfy an http rule for this method + sample_request = {'name': 'projects/sample1/locations/sample2/processors/sample3'} + + # get truthy value for each flattened field + mock_args = dict( + name='name_value', + ) + mock_args.update(sample_request) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = document_processor_service.ProcessResponse.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + client.process_document(**mock_args) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(req.mock_calls) == 1 + _, args, _ = req.mock_calls[0] + assert path_template.validate("%s/v1/{name=projects/*/locations/*/processors/*}:process" % client.transport._host, args[1]) + + +def test_process_document_rest_flattened_error(transport: str = 'rest'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.process_document( + document_processor_service.ProcessRequest(), + name='name_value', + ) + + +def test_process_document_rest_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest' + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.BatchProcessRequest, + dict, +]) +def test_batch_process_documents_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processors/sample3'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.batch_process_documents(request) + + # Establish that the response is the type that we expect. + assert response.operation.name == "operations/spam" + + +def test_batch_process_documents_rest_required_fields(request_type=document_processor_service.BatchProcessRequest): + transport_class = transports.DocumentProcessorServiceRestTransport + + request_init = {} + request_init["name"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).batch_process_documents._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["name"] = 'name_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).batch_process_documents._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "name" in jsonified_request + assert jsonified_request["name"] == 'name_value' + + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "post", + 'query_params': pb_request, + } + transcode_result['body'] = pb_request + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.batch_process_documents(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_batch_process_documents_rest_unset_required_fields(): + transport = transports.DocumentProcessorServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.batch_process_documents._get_unset_required_fields({}) + assert set(unset_fields) == (set(()) & set(("name", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_batch_process_documents_rest_interceptors(null_interceptor): + transport = transports.DocumentProcessorServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentProcessorServiceRestInterceptor(), + ) + client = DocumentProcessorServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(operation.Operation, "_set_result_from_operation"), \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "post_batch_process_documents") as post, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "pre_batch_process_documents") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_processor_service.BatchProcessRequest.pb(document_processor_service.BatchProcessRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = json_format.MessageToJson(operations_pb2.Operation()) + + request = document_processor_service.BatchProcessRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = operations_pb2.Operation() + + client.batch_process_documents(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_batch_process_documents_rest_bad_request(transport: str = 'rest', request_type=document_processor_service.BatchProcessRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processors/sample3'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.batch_process_documents(request) + + +def test_batch_process_documents_rest_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + + # get arguments that satisfy an http rule for this method + sample_request = {'name': 'projects/sample1/locations/sample2/processors/sample3'} + + # get truthy value for each flattened field + mock_args = dict( + name='name_value', + ) + mock_args.update(sample_request) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + client.batch_process_documents(**mock_args) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(req.mock_calls) == 1 + _, args, _ = req.mock_calls[0] + assert path_template.validate("%s/v1/{name=projects/*/locations/*/processors/*}:batchProcess" % client.transport._host, args[1]) + + +def test_batch_process_documents_rest_flattened_error(transport: str = 'rest'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.batch_process_documents( + document_processor_service.BatchProcessRequest(), + name='name_value', + ) + + +def test_batch_process_documents_rest_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest' + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.FetchProcessorTypesRequest, + dict, +]) +def test_fetch_processor_types_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'parent': 'projects/sample1/locations/sample2'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = document_processor_service.FetchProcessorTypesResponse( + ) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = document_processor_service.FetchProcessorTypesResponse.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.fetch_processor_types(request) + + # Establish that the response is the type that we expect. + assert isinstance(response, document_processor_service.FetchProcessorTypesResponse) + + +def test_fetch_processor_types_rest_required_fields(request_type=document_processor_service.FetchProcessorTypesRequest): + transport_class = transports.DocumentProcessorServiceRestTransport + + request_init = {} + request_init["parent"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).fetch_processor_types._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["parent"] = 'parent_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).fetch_processor_types._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "parent" in jsonified_request + assert jsonified_request["parent"] == 'parent_value' + + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = document_processor_service.FetchProcessorTypesResponse() + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "get", + 'query_params': pb_request, + } + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + + # Convert return value to protobuf type + return_value = document_processor_service.FetchProcessorTypesResponse.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.fetch_processor_types(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_fetch_processor_types_rest_unset_required_fields(): + transport = transports.DocumentProcessorServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.fetch_processor_types._get_unset_required_fields({}) + assert set(unset_fields) == (set(()) & set(("parent", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_fetch_processor_types_rest_interceptors(null_interceptor): + transport = transports.DocumentProcessorServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentProcessorServiceRestInterceptor(), + ) + client = DocumentProcessorServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "post_fetch_processor_types") as post, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "pre_fetch_processor_types") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_processor_service.FetchProcessorTypesRequest.pb(document_processor_service.FetchProcessorTypesRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = document_processor_service.FetchProcessorTypesResponse.to_json(document_processor_service.FetchProcessorTypesResponse()) + + request = document_processor_service.FetchProcessorTypesRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = document_processor_service.FetchProcessorTypesResponse() + + client.fetch_processor_types(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_fetch_processor_types_rest_bad_request(transport: str = 'rest', request_type=document_processor_service.FetchProcessorTypesRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'parent': 'projects/sample1/locations/sample2'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.fetch_processor_types(request) + + +def test_fetch_processor_types_rest_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = document_processor_service.FetchProcessorTypesResponse() + + # get arguments that satisfy an http rule for this method + sample_request = {'parent': 'projects/sample1/locations/sample2'} + + # get truthy value for each flattened field + mock_args = dict( + parent='parent_value', + ) + mock_args.update(sample_request) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = document_processor_service.FetchProcessorTypesResponse.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + client.fetch_processor_types(**mock_args) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(req.mock_calls) == 1 + _, args, _ = req.mock_calls[0] + assert path_template.validate("%s/v1/{parent=projects/*/locations/*}:fetchProcessorTypes" % client.transport._host, args[1]) + + +def test_fetch_processor_types_rest_flattened_error(transport: str = 'rest'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.fetch_processor_types( + document_processor_service.FetchProcessorTypesRequest(), + parent='parent_value', + ) + + +def test_fetch_processor_types_rest_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest' + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.ListProcessorTypesRequest, + dict, +]) +def test_list_processor_types_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'parent': 'projects/sample1/locations/sample2'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = document_processor_service.ListProcessorTypesResponse( + next_page_token='next_page_token_value', + ) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = document_processor_service.ListProcessorTypesResponse.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.list_processor_types(request) + + # Establish that the response is the type that we expect. + assert isinstance(response, pagers.ListProcessorTypesPager) + assert response.next_page_token == 'next_page_token_value' + + +def test_list_processor_types_rest_required_fields(request_type=document_processor_service.ListProcessorTypesRequest): + transport_class = transports.DocumentProcessorServiceRestTransport + + request_init = {} + request_init["parent"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).list_processor_types._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["parent"] = 'parent_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).list_processor_types._get_unset_required_fields(jsonified_request) + # Check that path parameters and body parameters are not mixing in. + assert not set(unset_fields) - set(("page_size", "page_token", )) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "parent" in jsonified_request + assert jsonified_request["parent"] == 'parent_value' + + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = document_processor_service.ListProcessorTypesResponse() + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "get", + 'query_params': pb_request, + } + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + + # Convert return value to protobuf type + return_value = document_processor_service.ListProcessorTypesResponse.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.list_processor_types(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_list_processor_types_rest_unset_required_fields(): + transport = transports.DocumentProcessorServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.list_processor_types._get_unset_required_fields({}) + assert set(unset_fields) == (set(("pageSize", "pageToken", )) & set(("parent", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_list_processor_types_rest_interceptors(null_interceptor): + transport = transports.DocumentProcessorServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentProcessorServiceRestInterceptor(), + ) + client = DocumentProcessorServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "post_list_processor_types") as post, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "pre_list_processor_types") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_processor_service.ListProcessorTypesRequest.pb(document_processor_service.ListProcessorTypesRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = document_processor_service.ListProcessorTypesResponse.to_json(document_processor_service.ListProcessorTypesResponse()) + + request = document_processor_service.ListProcessorTypesRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = document_processor_service.ListProcessorTypesResponse() + + client.list_processor_types(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_list_processor_types_rest_bad_request(transport: str = 'rest', request_type=document_processor_service.ListProcessorTypesRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'parent': 'projects/sample1/locations/sample2'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.list_processor_types(request) + + +def test_list_processor_types_rest_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = document_processor_service.ListProcessorTypesResponse() + + # get arguments that satisfy an http rule for this method + sample_request = {'parent': 'projects/sample1/locations/sample2'} + + # get truthy value for each flattened field + mock_args = dict( + parent='parent_value', + ) + mock_args.update(sample_request) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = document_processor_service.ListProcessorTypesResponse.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + client.list_processor_types(**mock_args) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(req.mock_calls) == 1 + _, args, _ = req.mock_calls[0] + assert path_template.validate("%s/v1/{parent=projects/*/locations/*}/processorTypes" % client.transport._host, args[1]) + + +def test_list_processor_types_rest_flattened_error(transport: str = 'rest'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.list_processor_types( + document_processor_service.ListProcessorTypesRequest(), + parent='parent_value', + ) + + +def test_list_processor_types_rest_pager(transport: str = 'rest'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # TODO(kbandes): remove this mock unless there's a good reason for it. + #with mock.patch.object(path_template, 'transcode') as transcode: + # Set the response as a series of pages + response = ( + document_processor_service.ListProcessorTypesResponse( + processor_types=[ + processor_type.ProcessorType(), + processor_type.ProcessorType(), + processor_type.ProcessorType(), + ], + next_page_token='abc', + ), + document_processor_service.ListProcessorTypesResponse( + processor_types=[], + next_page_token='def', + ), + document_processor_service.ListProcessorTypesResponse( + processor_types=[ + processor_type.ProcessorType(), + ], + next_page_token='ghi', + ), + document_processor_service.ListProcessorTypesResponse( + processor_types=[ + processor_type.ProcessorType(), + processor_type.ProcessorType(), + ], + ), + ) + # Two responses for two calls + response = response + response + + # Wrap the values into proper Response objs + response = tuple(document_processor_service.ListProcessorTypesResponse.to_json(x) for x in response) + return_values = tuple(Response() for i in response) + for return_val, response_val in zip(return_values, response): + return_val._content = response_val.encode('UTF-8') + return_val.status_code = 200 + req.side_effect = return_values + + sample_request = {'parent': 'projects/sample1/locations/sample2'} + + pager = client.list_processor_types(request=sample_request) + + results = list(pager) + assert len(results) == 6 + assert all(isinstance(i, processor_type.ProcessorType) + for i in results) + + pages = list(client.list_processor_types(request=sample_request).pages) + for page_, token in zip(pages, ['abc','def','ghi', '']): + assert page_.raw_page.next_page_token == token + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.GetProcessorTypeRequest, + dict, +]) +def test_get_processor_type_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processorTypes/sample3'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = processor_type.ProcessorType( + name='name_value', + type_='type__value', + category='category_value', + allow_creation=True, + launch_stage=launch_stage_pb2.LaunchStage.UNIMPLEMENTED, + sample_document_uris=['sample_document_uris_value'], + ) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = processor_type.ProcessorType.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.get_processor_type(request) + + # Establish that the response is the type that we expect. + assert isinstance(response, processor_type.ProcessorType) + assert response.name == 'name_value' + assert response.type_ == 'type__value' + assert response.category == 'category_value' + assert response.allow_creation is True + assert response.launch_stage == launch_stage_pb2.LaunchStage.UNIMPLEMENTED + assert response.sample_document_uris == ['sample_document_uris_value'] + + +def test_get_processor_type_rest_required_fields(request_type=document_processor_service.GetProcessorTypeRequest): + transport_class = transports.DocumentProcessorServiceRestTransport + + request_init = {} + request_init["name"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).get_processor_type._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["name"] = 'name_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).get_processor_type._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "name" in jsonified_request + assert jsonified_request["name"] == 'name_value' + + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = processor_type.ProcessorType() + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "get", + 'query_params': pb_request, + } + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + + # Convert return value to protobuf type + return_value = processor_type.ProcessorType.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.get_processor_type(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_get_processor_type_rest_unset_required_fields(): + transport = transports.DocumentProcessorServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.get_processor_type._get_unset_required_fields({}) + assert set(unset_fields) == (set(()) & set(("name", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_get_processor_type_rest_interceptors(null_interceptor): + transport = transports.DocumentProcessorServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentProcessorServiceRestInterceptor(), + ) + client = DocumentProcessorServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "post_get_processor_type") as post, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "pre_get_processor_type") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_processor_service.GetProcessorTypeRequest.pb(document_processor_service.GetProcessorTypeRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = processor_type.ProcessorType.to_json(processor_type.ProcessorType()) + + request = document_processor_service.GetProcessorTypeRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = processor_type.ProcessorType() + + client.get_processor_type(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_get_processor_type_rest_bad_request(transport: str = 'rest', request_type=document_processor_service.GetProcessorTypeRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processorTypes/sample3'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.get_processor_type(request) + + +def test_get_processor_type_rest_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = processor_type.ProcessorType() + + # get arguments that satisfy an http rule for this method + sample_request = {'name': 'projects/sample1/locations/sample2/processorTypes/sample3'} + + # get truthy value for each flattened field + mock_args = dict( + name='name_value', + ) + mock_args.update(sample_request) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = processor_type.ProcessorType.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + client.get_processor_type(**mock_args) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(req.mock_calls) == 1 + _, args, _ = req.mock_calls[0] + assert path_template.validate("%s/v1/{name=projects/*/locations/*/processorTypes/*}" % client.transport._host, args[1]) + + +def test_get_processor_type_rest_flattened_error(transport: str = 'rest'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.get_processor_type( + document_processor_service.GetProcessorTypeRequest(), + name='name_value', + ) + + +def test_get_processor_type_rest_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest' + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.ListProcessorsRequest, + dict, +]) +def test_list_processors_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'parent': 'projects/sample1/locations/sample2'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = document_processor_service.ListProcessorsResponse( + next_page_token='next_page_token_value', + ) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = document_processor_service.ListProcessorsResponse.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.list_processors(request) + + # Establish that the response is the type that we expect. + assert isinstance(response, pagers.ListProcessorsPager) + assert response.next_page_token == 'next_page_token_value' + + +def test_list_processors_rest_required_fields(request_type=document_processor_service.ListProcessorsRequest): + transport_class = transports.DocumentProcessorServiceRestTransport + + request_init = {} + request_init["parent"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).list_processors._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["parent"] = 'parent_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).list_processors._get_unset_required_fields(jsonified_request) + # Check that path parameters and body parameters are not mixing in. + assert not set(unset_fields) - set(("page_size", "page_token", )) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "parent" in jsonified_request + assert jsonified_request["parent"] == 'parent_value' + + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = document_processor_service.ListProcessorsResponse() + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "get", + 'query_params': pb_request, + } + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + + # Convert return value to protobuf type + return_value = document_processor_service.ListProcessorsResponse.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.list_processors(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_list_processors_rest_unset_required_fields(): + transport = transports.DocumentProcessorServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.list_processors._get_unset_required_fields({}) + assert set(unset_fields) == (set(("pageSize", "pageToken", )) & set(("parent", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_list_processors_rest_interceptors(null_interceptor): + transport = transports.DocumentProcessorServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentProcessorServiceRestInterceptor(), + ) + client = DocumentProcessorServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "post_list_processors") as post, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "pre_list_processors") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_processor_service.ListProcessorsRequest.pb(document_processor_service.ListProcessorsRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = document_processor_service.ListProcessorsResponse.to_json(document_processor_service.ListProcessorsResponse()) + + request = document_processor_service.ListProcessorsRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = document_processor_service.ListProcessorsResponse() + + client.list_processors(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_list_processors_rest_bad_request(transport: str = 'rest', request_type=document_processor_service.ListProcessorsRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'parent': 'projects/sample1/locations/sample2'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.list_processors(request) + + +def test_list_processors_rest_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = document_processor_service.ListProcessorsResponse() + + # get arguments that satisfy an http rule for this method + sample_request = {'parent': 'projects/sample1/locations/sample2'} + + # get truthy value for each flattened field + mock_args = dict( + parent='parent_value', + ) + mock_args.update(sample_request) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = document_processor_service.ListProcessorsResponse.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + client.list_processors(**mock_args) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(req.mock_calls) == 1 + _, args, _ = req.mock_calls[0] + assert path_template.validate("%s/v1/{parent=projects/*/locations/*}/processors" % client.transport._host, args[1]) + + +def test_list_processors_rest_flattened_error(transport: str = 'rest'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.list_processors( + document_processor_service.ListProcessorsRequest(), + parent='parent_value', + ) + + +def test_list_processors_rest_pager(transport: str = 'rest'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # TODO(kbandes): remove this mock unless there's a good reason for it. + #with mock.patch.object(path_template, 'transcode') as transcode: + # Set the response as a series of pages + response = ( + document_processor_service.ListProcessorsResponse( + processors=[ + processor.Processor(), + processor.Processor(), + processor.Processor(), + ], + next_page_token='abc', + ), + document_processor_service.ListProcessorsResponse( + processors=[], + next_page_token='def', + ), + document_processor_service.ListProcessorsResponse( + processors=[ + processor.Processor(), + ], + next_page_token='ghi', + ), + document_processor_service.ListProcessorsResponse( + processors=[ + processor.Processor(), + processor.Processor(), + ], + ), + ) + # Two responses for two calls + response = response + response + + # Wrap the values into proper Response objs + response = tuple(document_processor_service.ListProcessorsResponse.to_json(x) for x in response) + return_values = tuple(Response() for i in response) + for return_val, response_val in zip(return_values, response): + return_val._content = response_val.encode('UTF-8') + return_val.status_code = 200 + req.side_effect = return_values + + sample_request = {'parent': 'projects/sample1/locations/sample2'} + + pager = client.list_processors(request=sample_request) + + results = list(pager) + assert len(results) == 6 + assert all(isinstance(i, processor.Processor) + for i in results) + + pages = list(client.list_processors(request=sample_request).pages) + for page_, token in zip(pages, ['abc','def','ghi', '']): + assert page_.raw_page.next_page_token == token + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.GetProcessorRequest, + dict, +]) +def test_get_processor_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processors/sample3'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = processor.Processor( + name='name_value', + type_='type__value', + display_name='display_name_value', + state=processor.Processor.State.ENABLED, + default_processor_version='default_processor_version_value', + process_endpoint='process_endpoint_value', + kms_key_name='kms_key_name_value', + ) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = processor.Processor.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.get_processor(request) + + # Establish that the response is the type that we expect. + assert isinstance(response, processor.Processor) + assert response.name == 'name_value' + assert response.type_ == 'type__value' + assert response.display_name == 'display_name_value' + assert response.state == processor.Processor.State.ENABLED + assert response.default_processor_version == 'default_processor_version_value' + assert response.process_endpoint == 'process_endpoint_value' + assert response.kms_key_name == 'kms_key_name_value' + + +def test_get_processor_rest_required_fields(request_type=document_processor_service.GetProcessorRequest): + transport_class = transports.DocumentProcessorServiceRestTransport + + request_init = {} + request_init["name"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).get_processor._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["name"] = 'name_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).get_processor._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "name" in jsonified_request + assert jsonified_request["name"] == 'name_value' + + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = processor.Processor() + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "get", + 'query_params': pb_request, + } + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + + # Convert return value to protobuf type + return_value = processor.Processor.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.get_processor(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_get_processor_rest_unset_required_fields(): + transport = transports.DocumentProcessorServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.get_processor._get_unset_required_fields({}) + assert set(unset_fields) == (set(()) & set(("name", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_get_processor_rest_interceptors(null_interceptor): + transport = transports.DocumentProcessorServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentProcessorServiceRestInterceptor(), + ) + client = DocumentProcessorServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "post_get_processor") as post, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "pre_get_processor") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_processor_service.GetProcessorRequest.pb(document_processor_service.GetProcessorRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = processor.Processor.to_json(processor.Processor()) + + request = document_processor_service.GetProcessorRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = processor.Processor() + + client.get_processor(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_get_processor_rest_bad_request(transport: str = 'rest', request_type=document_processor_service.GetProcessorRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processors/sample3'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.get_processor(request) + + +def test_get_processor_rest_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = processor.Processor() + + # get arguments that satisfy an http rule for this method + sample_request = {'name': 'projects/sample1/locations/sample2/processors/sample3'} + + # get truthy value for each flattened field + mock_args = dict( + name='name_value', + ) + mock_args.update(sample_request) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = processor.Processor.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + client.get_processor(**mock_args) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(req.mock_calls) == 1 + _, args, _ = req.mock_calls[0] + assert path_template.validate("%s/v1/{name=projects/*/locations/*/processors/*}" % client.transport._host, args[1]) + + +def test_get_processor_rest_flattened_error(transport: str = 'rest'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.get_processor( + document_processor_service.GetProcessorRequest(), + name='name_value', + ) + + +def test_get_processor_rest_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest' + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.TrainProcessorVersionRequest, + dict, +]) +def test_train_processor_version_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'parent': 'projects/sample1/locations/sample2/processors/sample3'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.train_processor_version(request) + + # Establish that the response is the type that we expect. + assert response.operation.name == "operations/spam" + + +def test_train_processor_version_rest_required_fields(request_type=document_processor_service.TrainProcessorVersionRequest): + transport_class = transports.DocumentProcessorServiceRestTransport + + request_init = {} + request_init["parent"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).train_processor_version._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["parent"] = 'parent_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).train_processor_version._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "parent" in jsonified_request + assert jsonified_request["parent"] == 'parent_value' + + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "post", + 'query_params': pb_request, + } + transcode_result['body'] = pb_request + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.train_processor_version(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_train_processor_version_rest_unset_required_fields(): + transport = transports.DocumentProcessorServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.train_processor_version._get_unset_required_fields({}) + assert set(unset_fields) == (set(()) & set(("parent", "processorVersion", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_train_processor_version_rest_interceptors(null_interceptor): + transport = transports.DocumentProcessorServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentProcessorServiceRestInterceptor(), + ) + client = DocumentProcessorServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(operation.Operation, "_set_result_from_operation"), \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "post_train_processor_version") as post, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "pre_train_processor_version") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_processor_service.TrainProcessorVersionRequest.pb(document_processor_service.TrainProcessorVersionRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = json_format.MessageToJson(operations_pb2.Operation()) + + request = document_processor_service.TrainProcessorVersionRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = operations_pb2.Operation() + + client.train_processor_version(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_train_processor_version_rest_bad_request(transport: str = 'rest', request_type=document_processor_service.TrainProcessorVersionRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'parent': 'projects/sample1/locations/sample2/processors/sample3'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.train_processor_version(request) + + +def test_train_processor_version_rest_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + + # get arguments that satisfy an http rule for this method + sample_request = {'parent': 'projects/sample1/locations/sample2/processors/sample3'} + + # get truthy value for each flattened field + mock_args = dict( + parent='parent_value', + processor_version=processor.ProcessorVersion(name='name_value'), + ) + mock_args.update(sample_request) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + client.train_processor_version(**mock_args) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(req.mock_calls) == 1 + _, args, _ = req.mock_calls[0] + assert path_template.validate("%s/v1/{parent=projects/*/locations/*/processors/*}/processorVersions:train" % client.transport._host, args[1]) + + +def test_train_processor_version_rest_flattened_error(transport: str = 'rest'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.train_processor_version( + document_processor_service.TrainProcessorVersionRequest(), + parent='parent_value', + processor_version=processor.ProcessorVersion(name='name_value'), + ) + + +def test_train_processor_version_rest_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest' + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.GetProcessorVersionRequest, + dict, +]) +def test_get_processor_version_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processors/sample3/processorVersions/sample4'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = processor.ProcessorVersion( + name='name_value', + display_name='display_name_value', + state=processor.ProcessorVersion.State.DEPLOYED, + kms_key_name='kms_key_name_value', + kms_key_version_name='kms_key_version_name_value', + google_managed=True, + model_type=processor.ProcessorVersion.ModelType.MODEL_TYPE_GENERATIVE, + ) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = processor.ProcessorVersion.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.get_processor_version(request) + + # Establish that the response is the type that we expect. + assert isinstance(response, processor.ProcessorVersion) + assert response.name == 'name_value' + assert response.display_name == 'display_name_value' + assert response.state == processor.ProcessorVersion.State.DEPLOYED + assert response.kms_key_name == 'kms_key_name_value' + assert response.kms_key_version_name == 'kms_key_version_name_value' + assert response.google_managed is True + assert response.model_type == processor.ProcessorVersion.ModelType.MODEL_TYPE_GENERATIVE + + +def test_get_processor_version_rest_required_fields(request_type=document_processor_service.GetProcessorVersionRequest): + transport_class = transports.DocumentProcessorServiceRestTransport + + request_init = {} + request_init["name"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).get_processor_version._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["name"] = 'name_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).get_processor_version._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "name" in jsonified_request + assert jsonified_request["name"] == 'name_value' + + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = processor.ProcessorVersion() + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "get", + 'query_params': pb_request, + } + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + + # Convert return value to protobuf type + return_value = processor.ProcessorVersion.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.get_processor_version(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_get_processor_version_rest_unset_required_fields(): + transport = transports.DocumentProcessorServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.get_processor_version._get_unset_required_fields({}) + assert set(unset_fields) == (set(()) & set(("name", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_get_processor_version_rest_interceptors(null_interceptor): + transport = transports.DocumentProcessorServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentProcessorServiceRestInterceptor(), + ) + client = DocumentProcessorServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "post_get_processor_version") as post, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "pre_get_processor_version") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_processor_service.GetProcessorVersionRequest.pb(document_processor_service.GetProcessorVersionRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = processor.ProcessorVersion.to_json(processor.ProcessorVersion()) + + request = document_processor_service.GetProcessorVersionRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = processor.ProcessorVersion() + + client.get_processor_version(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_get_processor_version_rest_bad_request(transport: str = 'rest', request_type=document_processor_service.GetProcessorVersionRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processors/sample3/processorVersions/sample4'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.get_processor_version(request) + + +def test_get_processor_version_rest_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = processor.ProcessorVersion() + + # get arguments that satisfy an http rule for this method + sample_request = {'name': 'projects/sample1/locations/sample2/processors/sample3/processorVersions/sample4'} + + # get truthy value for each flattened field + mock_args = dict( + name='name_value', + ) + mock_args.update(sample_request) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = processor.ProcessorVersion.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + client.get_processor_version(**mock_args) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(req.mock_calls) == 1 + _, args, _ = req.mock_calls[0] + assert path_template.validate("%s/v1/{name=projects/*/locations/*/processors/*/processorVersions/*}" % client.transport._host, args[1]) + + +def test_get_processor_version_rest_flattened_error(transport: str = 'rest'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.get_processor_version( + document_processor_service.GetProcessorVersionRequest(), + name='name_value', + ) + + +def test_get_processor_version_rest_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest' + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.ListProcessorVersionsRequest, + dict, +]) +def test_list_processor_versions_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'parent': 'projects/sample1/locations/sample2/processors/sample3'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = document_processor_service.ListProcessorVersionsResponse( + next_page_token='next_page_token_value', + ) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = document_processor_service.ListProcessorVersionsResponse.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.list_processor_versions(request) + + # Establish that the response is the type that we expect. + assert isinstance(response, pagers.ListProcessorVersionsPager) + assert response.next_page_token == 'next_page_token_value' + + +def test_list_processor_versions_rest_required_fields(request_type=document_processor_service.ListProcessorVersionsRequest): + transport_class = transports.DocumentProcessorServiceRestTransport + + request_init = {} + request_init["parent"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).list_processor_versions._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["parent"] = 'parent_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).list_processor_versions._get_unset_required_fields(jsonified_request) + # Check that path parameters and body parameters are not mixing in. + assert not set(unset_fields) - set(("page_size", "page_token", )) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "parent" in jsonified_request + assert jsonified_request["parent"] == 'parent_value' + + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = document_processor_service.ListProcessorVersionsResponse() + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "get", + 'query_params': pb_request, + } + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + + # Convert return value to protobuf type + return_value = document_processor_service.ListProcessorVersionsResponse.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.list_processor_versions(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_list_processor_versions_rest_unset_required_fields(): + transport = transports.DocumentProcessorServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.list_processor_versions._get_unset_required_fields({}) + assert set(unset_fields) == (set(("pageSize", "pageToken", )) & set(("parent", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_list_processor_versions_rest_interceptors(null_interceptor): + transport = transports.DocumentProcessorServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentProcessorServiceRestInterceptor(), + ) + client = DocumentProcessorServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "post_list_processor_versions") as post, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "pre_list_processor_versions") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_processor_service.ListProcessorVersionsRequest.pb(document_processor_service.ListProcessorVersionsRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = document_processor_service.ListProcessorVersionsResponse.to_json(document_processor_service.ListProcessorVersionsResponse()) + + request = document_processor_service.ListProcessorVersionsRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = document_processor_service.ListProcessorVersionsResponse() + + client.list_processor_versions(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_list_processor_versions_rest_bad_request(transport: str = 'rest', request_type=document_processor_service.ListProcessorVersionsRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'parent': 'projects/sample1/locations/sample2/processors/sample3'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.list_processor_versions(request) + + +def test_list_processor_versions_rest_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = document_processor_service.ListProcessorVersionsResponse() + + # get arguments that satisfy an http rule for this method + sample_request = {'parent': 'projects/sample1/locations/sample2/processors/sample3'} + + # get truthy value for each flattened field + mock_args = dict( + parent='parent_value', + ) + mock_args.update(sample_request) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = document_processor_service.ListProcessorVersionsResponse.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + client.list_processor_versions(**mock_args) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(req.mock_calls) == 1 + _, args, _ = req.mock_calls[0] + assert path_template.validate("%s/v1/{parent=projects/*/locations/*/processors/*}/processorVersions" % client.transport._host, args[1]) + + +def test_list_processor_versions_rest_flattened_error(transport: str = 'rest'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.list_processor_versions( + document_processor_service.ListProcessorVersionsRequest(), + parent='parent_value', + ) + + +def test_list_processor_versions_rest_pager(transport: str = 'rest'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # TODO(kbandes): remove this mock unless there's a good reason for it. + #with mock.patch.object(path_template, 'transcode') as transcode: + # Set the response as a series of pages + response = ( + document_processor_service.ListProcessorVersionsResponse( + processor_versions=[ + processor.ProcessorVersion(), + processor.ProcessorVersion(), + processor.ProcessorVersion(), + ], + next_page_token='abc', + ), + document_processor_service.ListProcessorVersionsResponse( + processor_versions=[], + next_page_token='def', + ), + document_processor_service.ListProcessorVersionsResponse( + processor_versions=[ + processor.ProcessorVersion(), + ], + next_page_token='ghi', + ), + document_processor_service.ListProcessorVersionsResponse( + processor_versions=[ + processor.ProcessorVersion(), + processor.ProcessorVersion(), + ], + ), + ) + # Two responses for two calls + response = response + response + + # Wrap the values into proper Response objs + response = tuple(document_processor_service.ListProcessorVersionsResponse.to_json(x) for x in response) + return_values = tuple(Response() for i in response) + for return_val, response_val in zip(return_values, response): + return_val._content = response_val.encode('UTF-8') + return_val.status_code = 200 + req.side_effect = return_values + + sample_request = {'parent': 'projects/sample1/locations/sample2/processors/sample3'} + + pager = client.list_processor_versions(request=sample_request) + + results = list(pager) + assert len(results) == 6 + assert all(isinstance(i, processor.ProcessorVersion) + for i in results) + + pages = list(client.list_processor_versions(request=sample_request).pages) + for page_, token in zip(pages, ['abc','def','ghi', '']): + assert page_.raw_page.next_page_token == token + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.DeleteProcessorVersionRequest, + dict, +]) +def test_delete_processor_version_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processors/sample3/processorVersions/sample4'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.delete_processor_version(request) + + # Establish that the response is the type that we expect. + assert response.operation.name == "operations/spam" + + +def test_delete_processor_version_rest_required_fields(request_type=document_processor_service.DeleteProcessorVersionRequest): + transport_class = transports.DocumentProcessorServiceRestTransport + + request_init = {} + request_init["name"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).delete_processor_version._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["name"] = 'name_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).delete_processor_version._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "name" in jsonified_request + assert jsonified_request["name"] == 'name_value' + + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "delete", + 'query_params': pb_request, + } + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.delete_processor_version(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_delete_processor_version_rest_unset_required_fields(): + transport = transports.DocumentProcessorServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.delete_processor_version._get_unset_required_fields({}) + assert set(unset_fields) == (set(()) & set(("name", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_delete_processor_version_rest_interceptors(null_interceptor): + transport = transports.DocumentProcessorServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentProcessorServiceRestInterceptor(), + ) + client = DocumentProcessorServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(operation.Operation, "_set_result_from_operation"), \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "post_delete_processor_version") as post, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "pre_delete_processor_version") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_processor_service.DeleteProcessorVersionRequest.pb(document_processor_service.DeleteProcessorVersionRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = json_format.MessageToJson(operations_pb2.Operation()) + + request = document_processor_service.DeleteProcessorVersionRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = operations_pb2.Operation() + + client.delete_processor_version(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_delete_processor_version_rest_bad_request(transport: str = 'rest', request_type=document_processor_service.DeleteProcessorVersionRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processors/sample3/processorVersions/sample4'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.delete_processor_version(request) + + +def test_delete_processor_version_rest_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + + # get arguments that satisfy an http rule for this method + sample_request = {'name': 'projects/sample1/locations/sample2/processors/sample3/processorVersions/sample4'} + + # get truthy value for each flattened field + mock_args = dict( + name='name_value', + ) + mock_args.update(sample_request) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + client.delete_processor_version(**mock_args) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(req.mock_calls) == 1 + _, args, _ = req.mock_calls[0] + assert path_template.validate("%s/v1/{name=projects/*/locations/*/processors/*/processorVersions/*}" % client.transport._host, args[1]) + + +def test_delete_processor_version_rest_flattened_error(transport: str = 'rest'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.delete_processor_version( + document_processor_service.DeleteProcessorVersionRequest(), + name='name_value', + ) + + +def test_delete_processor_version_rest_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest' + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.DeployProcessorVersionRequest, + dict, +]) +def test_deploy_processor_version_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processors/sample3/processorVersions/sample4'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.deploy_processor_version(request) + + # Establish that the response is the type that we expect. + assert response.operation.name == "operations/spam" + + +def test_deploy_processor_version_rest_required_fields(request_type=document_processor_service.DeployProcessorVersionRequest): + transport_class = transports.DocumentProcessorServiceRestTransport + + request_init = {} + request_init["name"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).deploy_processor_version._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["name"] = 'name_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).deploy_processor_version._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "name" in jsonified_request + assert jsonified_request["name"] == 'name_value' + + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "post", + 'query_params': pb_request, + } + transcode_result['body'] = pb_request + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.deploy_processor_version(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_deploy_processor_version_rest_unset_required_fields(): + transport = transports.DocumentProcessorServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.deploy_processor_version._get_unset_required_fields({}) + assert set(unset_fields) == (set(()) & set(("name", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_deploy_processor_version_rest_interceptors(null_interceptor): + transport = transports.DocumentProcessorServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentProcessorServiceRestInterceptor(), + ) + client = DocumentProcessorServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(operation.Operation, "_set_result_from_operation"), \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "post_deploy_processor_version") as post, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "pre_deploy_processor_version") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_processor_service.DeployProcessorVersionRequest.pb(document_processor_service.DeployProcessorVersionRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = json_format.MessageToJson(operations_pb2.Operation()) + + request = document_processor_service.DeployProcessorVersionRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = operations_pb2.Operation() + + client.deploy_processor_version(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_deploy_processor_version_rest_bad_request(transport: str = 'rest', request_type=document_processor_service.DeployProcessorVersionRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processors/sample3/processorVersions/sample4'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.deploy_processor_version(request) + + +def test_deploy_processor_version_rest_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + + # get arguments that satisfy an http rule for this method + sample_request = {'name': 'projects/sample1/locations/sample2/processors/sample3/processorVersions/sample4'} + + # get truthy value for each flattened field + mock_args = dict( + name='name_value', + ) + mock_args.update(sample_request) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + client.deploy_processor_version(**mock_args) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(req.mock_calls) == 1 + _, args, _ = req.mock_calls[0] + assert path_template.validate("%s/v1/{name=projects/*/locations/*/processors/*/processorVersions/*}:deploy" % client.transport._host, args[1]) + + +def test_deploy_processor_version_rest_flattened_error(transport: str = 'rest'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.deploy_processor_version( + document_processor_service.DeployProcessorVersionRequest(), + name='name_value', + ) + + +def test_deploy_processor_version_rest_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest' + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.UndeployProcessorVersionRequest, + dict, +]) +def test_undeploy_processor_version_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processors/sample3/processorVersions/sample4'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.undeploy_processor_version(request) + + # Establish that the response is the type that we expect. + assert response.operation.name == "operations/spam" + + +def test_undeploy_processor_version_rest_required_fields(request_type=document_processor_service.UndeployProcessorVersionRequest): + transport_class = transports.DocumentProcessorServiceRestTransport + + request_init = {} + request_init["name"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).undeploy_processor_version._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["name"] = 'name_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).undeploy_processor_version._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "name" in jsonified_request + assert jsonified_request["name"] == 'name_value' + + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "post", + 'query_params': pb_request, + } + transcode_result['body'] = pb_request + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.undeploy_processor_version(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_undeploy_processor_version_rest_unset_required_fields(): + transport = transports.DocumentProcessorServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.undeploy_processor_version._get_unset_required_fields({}) + assert set(unset_fields) == (set(()) & set(("name", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_undeploy_processor_version_rest_interceptors(null_interceptor): + transport = transports.DocumentProcessorServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentProcessorServiceRestInterceptor(), + ) + client = DocumentProcessorServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(operation.Operation, "_set_result_from_operation"), \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "post_undeploy_processor_version") as post, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "pre_undeploy_processor_version") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_processor_service.UndeployProcessorVersionRequest.pb(document_processor_service.UndeployProcessorVersionRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = json_format.MessageToJson(operations_pb2.Operation()) + + request = document_processor_service.UndeployProcessorVersionRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = operations_pb2.Operation() + + client.undeploy_processor_version(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_undeploy_processor_version_rest_bad_request(transport: str = 'rest', request_type=document_processor_service.UndeployProcessorVersionRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processors/sample3/processorVersions/sample4'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.undeploy_processor_version(request) + + +def test_undeploy_processor_version_rest_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + + # get arguments that satisfy an http rule for this method + sample_request = {'name': 'projects/sample1/locations/sample2/processors/sample3/processorVersions/sample4'} + + # get truthy value for each flattened field + mock_args = dict( + name='name_value', + ) + mock_args.update(sample_request) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + client.undeploy_processor_version(**mock_args) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(req.mock_calls) == 1 + _, args, _ = req.mock_calls[0] + assert path_template.validate("%s/v1/{name=projects/*/locations/*/processors/*/processorVersions/*}:undeploy" % client.transport._host, args[1]) + + +def test_undeploy_processor_version_rest_flattened_error(transport: str = 'rest'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.undeploy_processor_version( + document_processor_service.UndeployProcessorVersionRequest(), + name='name_value', + ) + + +def test_undeploy_processor_version_rest_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest' + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.CreateProcessorRequest, + dict, +]) +def test_create_processor_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'parent': 'projects/sample1/locations/sample2'} + request_init["processor"] = {'name': 'name_value', 'type_': 'type__value', 'display_name': 'display_name_value', 'state': 1, 'default_processor_version': 'default_processor_version_value', 'processor_version_aliases': [{'alias': 'alias_value', 'processor_version': 'processor_version_value'}], 'process_endpoint': 'process_endpoint_value', 'create_time': {'seconds': 751, 'nanos': 543}, 'kms_key_name': 'kms_key_name_value'} + # The version of a generated dependency at test runtime may differ from the version used during generation. + # Delete any fields which are not present in the current runtime dependency + # See https://github.com/googleapis/gapic-generator-python/issues/1748 + + # Determine if the message type is proto-plus or protobuf + test_field = document_processor_service.CreateProcessorRequest.meta.fields["processor"] + + def get_message_fields(field): + # Given a field which is a message (composite type), return a list with + # all the fields of the message. + # If the field is not a composite type, return an empty list. + message_fields = [] + + if hasattr(field, "message") and field.message: + is_field_type_proto_plus_type = not hasattr(field.message, "DESCRIPTOR") + + if is_field_type_proto_plus_type: + message_fields = field.message.meta.fields.values() + # Add `# pragma: NO COVER` because there may not be any `*_pb2` field types + else: # pragma: NO COVER + message_fields = field.message.DESCRIPTOR.fields + return message_fields + + runtime_nested_fields = [ + (field.name, nested_field.name) + for field in get_message_fields(test_field) + for nested_field in get_message_fields(field) + ] + + subfields_not_in_runtime = [] + + # For each item in the sample request, create a list of sub fields which are not present at runtime + # Add `# pragma: NO COVER` because this test code will not run if all subfields are present at runtime + for field, value in request_init["processor"].items(): # pragma: NO COVER + result = None + is_repeated = False + # For repeated fields + if isinstance(value, list) and len(value): + is_repeated = True + result = value[0] + # For fields where the type is another message + if isinstance(value, dict): + result = value + + if result and hasattr(result, "keys"): + for subfield in result.keys(): + if (field, subfield) not in runtime_nested_fields: + subfields_not_in_runtime.append( + {"field": field, "subfield": subfield, "is_repeated": is_repeated} + ) + + # Remove fields from the sample request which are not present in the runtime version of the dependency + # Add `# pragma: NO COVER` because this test code will not run if all subfields are present at runtime + for subfield_to_delete in subfields_not_in_runtime: # pragma: NO COVER + field = subfield_to_delete.get("field") + field_repeated = subfield_to_delete.get("is_repeated") + subfield = subfield_to_delete.get("subfield") + if subfield: + if field_repeated: + for i in range(0, len(request_init["processor"][field])): + del request_init["processor"][field][i][subfield] + else: + del request_init["processor"][field][subfield] + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = gcd_processor.Processor( + name='name_value', + type_='type__value', + display_name='display_name_value', + state=gcd_processor.Processor.State.ENABLED, + default_processor_version='default_processor_version_value', + process_endpoint='process_endpoint_value', + kms_key_name='kms_key_name_value', + ) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = gcd_processor.Processor.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.create_processor(request) + + # Establish that the response is the type that we expect. + assert isinstance(response, gcd_processor.Processor) + assert response.name == 'name_value' + assert response.type_ == 'type__value' + assert response.display_name == 'display_name_value' + assert response.state == gcd_processor.Processor.State.ENABLED + assert response.default_processor_version == 'default_processor_version_value' + assert response.process_endpoint == 'process_endpoint_value' + assert response.kms_key_name == 'kms_key_name_value' + + +def test_create_processor_rest_required_fields(request_type=document_processor_service.CreateProcessorRequest): + transport_class = transports.DocumentProcessorServiceRestTransport + + request_init = {} + request_init["parent"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).create_processor._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["parent"] = 'parent_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).create_processor._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "parent" in jsonified_request + assert jsonified_request["parent"] == 'parent_value' + + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = gcd_processor.Processor() + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "post", + 'query_params': pb_request, + } + transcode_result['body'] = pb_request + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + + # Convert return value to protobuf type + return_value = gcd_processor.Processor.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.create_processor(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_create_processor_rest_unset_required_fields(): + transport = transports.DocumentProcessorServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.create_processor._get_unset_required_fields({}) + assert set(unset_fields) == (set(()) & set(("parent", "processor", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_create_processor_rest_interceptors(null_interceptor): + transport = transports.DocumentProcessorServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentProcessorServiceRestInterceptor(), + ) + client = DocumentProcessorServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "post_create_processor") as post, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "pre_create_processor") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_processor_service.CreateProcessorRequest.pb(document_processor_service.CreateProcessorRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = gcd_processor.Processor.to_json(gcd_processor.Processor()) + + request = document_processor_service.CreateProcessorRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = gcd_processor.Processor() + + client.create_processor(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_create_processor_rest_bad_request(transport: str = 'rest', request_type=document_processor_service.CreateProcessorRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'parent': 'projects/sample1/locations/sample2'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.create_processor(request) + + +def test_create_processor_rest_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = gcd_processor.Processor() + + # get arguments that satisfy an http rule for this method + sample_request = {'parent': 'projects/sample1/locations/sample2'} + + # get truthy value for each flattened field + mock_args = dict( + parent='parent_value', + processor=gcd_processor.Processor(name='name_value'), + ) + mock_args.update(sample_request) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = gcd_processor.Processor.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + client.create_processor(**mock_args) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(req.mock_calls) == 1 + _, args, _ = req.mock_calls[0] + assert path_template.validate("%s/v1/{parent=projects/*/locations/*}/processors" % client.transport._host, args[1]) + + +def test_create_processor_rest_flattened_error(transport: str = 'rest'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.create_processor( + document_processor_service.CreateProcessorRequest(), + parent='parent_value', + processor=gcd_processor.Processor(name='name_value'), + ) + + +def test_create_processor_rest_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest' + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.DeleteProcessorRequest, + dict, +]) +def test_delete_processor_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processors/sample3'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.delete_processor(request) + + # Establish that the response is the type that we expect. + assert response.operation.name == "operations/spam" + + +def test_delete_processor_rest_required_fields(request_type=document_processor_service.DeleteProcessorRequest): + transport_class = transports.DocumentProcessorServiceRestTransport + + request_init = {} + request_init["name"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).delete_processor._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["name"] = 'name_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).delete_processor._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "name" in jsonified_request + assert jsonified_request["name"] == 'name_value' + + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "delete", + 'query_params': pb_request, + } + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.delete_processor(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_delete_processor_rest_unset_required_fields(): + transport = transports.DocumentProcessorServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.delete_processor._get_unset_required_fields({}) + assert set(unset_fields) == (set(()) & set(("name", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_delete_processor_rest_interceptors(null_interceptor): + transport = transports.DocumentProcessorServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentProcessorServiceRestInterceptor(), + ) + client = DocumentProcessorServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(operation.Operation, "_set_result_from_operation"), \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "post_delete_processor") as post, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "pre_delete_processor") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_processor_service.DeleteProcessorRequest.pb(document_processor_service.DeleteProcessorRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = json_format.MessageToJson(operations_pb2.Operation()) + + request = document_processor_service.DeleteProcessorRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = operations_pb2.Operation() + + client.delete_processor(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_delete_processor_rest_bad_request(transport: str = 'rest', request_type=document_processor_service.DeleteProcessorRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processors/sample3'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.delete_processor(request) + + +def test_delete_processor_rest_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + + # get arguments that satisfy an http rule for this method + sample_request = {'name': 'projects/sample1/locations/sample2/processors/sample3'} + + # get truthy value for each flattened field + mock_args = dict( + name='name_value', + ) + mock_args.update(sample_request) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + client.delete_processor(**mock_args) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(req.mock_calls) == 1 + _, args, _ = req.mock_calls[0] + assert path_template.validate("%s/v1/{name=projects/*/locations/*/processors/*}" % client.transport._host, args[1]) + + +def test_delete_processor_rest_flattened_error(transport: str = 'rest'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.delete_processor( + document_processor_service.DeleteProcessorRequest(), + name='name_value', + ) + + +def test_delete_processor_rest_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest' + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.EnableProcessorRequest, + dict, +]) +def test_enable_processor_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processors/sample3'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.enable_processor(request) + + # Establish that the response is the type that we expect. + assert response.operation.name == "operations/spam" + + +def test_enable_processor_rest_required_fields(request_type=document_processor_service.EnableProcessorRequest): + transport_class = transports.DocumentProcessorServiceRestTransport + + request_init = {} + request_init["name"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).enable_processor._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["name"] = 'name_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).enable_processor._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "name" in jsonified_request + assert jsonified_request["name"] == 'name_value' + + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "post", + 'query_params': pb_request, + } + transcode_result['body'] = pb_request + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.enable_processor(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_enable_processor_rest_unset_required_fields(): + transport = transports.DocumentProcessorServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.enable_processor._get_unset_required_fields({}) + assert set(unset_fields) == (set(()) & set(("name", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_enable_processor_rest_interceptors(null_interceptor): + transport = transports.DocumentProcessorServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentProcessorServiceRestInterceptor(), + ) + client = DocumentProcessorServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(operation.Operation, "_set_result_from_operation"), \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "post_enable_processor") as post, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "pre_enable_processor") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_processor_service.EnableProcessorRequest.pb(document_processor_service.EnableProcessorRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = json_format.MessageToJson(operations_pb2.Operation()) + + request = document_processor_service.EnableProcessorRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = operations_pb2.Operation() + + client.enable_processor(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_enable_processor_rest_bad_request(transport: str = 'rest', request_type=document_processor_service.EnableProcessorRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processors/sample3'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.enable_processor(request) + + +def test_enable_processor_rest_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest' + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.DisableProcessorRequest, + dict, +]) +def test_disable_processor_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processors/sample3'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.disable_processor(request) + + # Establish that the response is the type that we expect. + assert response.operation.name == "operations/spam" + + +def test_disable_processor_rest_required_fields(request_type=document_processor_service.DisableProcessorRequest): + transport_class = transports.DocumentProcessorServiceRestTransport + + request_init = {} + request_init["name"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).disable_processor._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["name"] = 'name_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).disable_processor._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "name" in jsonified_request + assert jsonified_request["name"] == 'name_value' + + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "post", + 'query_params': pb_request, + } + transcode_result['body'] = pb_request + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.disable_processor(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_disable_processor_rest_unset_required_fields(): + transport = transports.DocumentProcessorServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.disable_processor._get_unset_required_fields({}) + assert set(unset_fields) == (set(()) & set(("name", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_disable_processor_rest_interceptors(null_interceptor): + transport = transports.DocumentProcessorServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentProcessorServiceRestInterceptor(), + ) + client = DocumentProcessorServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(operation.Operation, "_set_result_from_operation"), \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "post_disable_processor") as post, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "pre_disable_processor") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_processor_service.DisableProcessorRequest.pb(document_processor_service.DisableProcessorRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = json_format.MessageToJson(operations_pb2.Operation()) + + request = document_processor_service.DisableProcessorRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = operations_pb2.Operation() + + client.disable_processor(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_disable_processor_rest_bad_request(transport: str = 'rest', request_type=document_processor_service.DisableProcessorRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processors/sample3'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.disable_processor(request) + + +def test_disable_processor_rest_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest' + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.SetDefaultProcessorVersionRequest, + dict, +]) +def test_set_default_processor_version_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'processor': 'projects/sample1/locations/sample2/processors/sample3'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.set_default_processor_version(request) + + # Establish that the response is the type that we expect. + assert response.operation.name == "operations/spam" + + +def test_set_default_processor_version_rest_required_fields(request_type=document_processor_service.SetDefaultProcessorVersionRequest): + transport_class = transports.DocumentProcessorServiceRestTransport + + request_init = {} + request_init["processor"] = "" + request_init["default_processor_version"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).set_default_processor_version._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["processor"] = 'processor_value' + jsonified_request["defaultProcessorVersion"] = 'default_processor_version_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).set_default_processor_version._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "processor" in jsonified_request + assert jsonified_request["processor"] == 'processor_value' + assert "defaultProcessorVersion" in jsonified_request + assert jsonified_request["defaultProcessorVersion"] == 'default_processor_version_value' + + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "post", + 'query_params': pb_request, + } + transcode_result['body'] = pb_request + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.set_default_processor_version(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_set_default_processor_version_rest_unset_required_fields(): + transport = transports.DocumentProcessorServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.set_default_processor_version._get_unset_required_fields({}) + assert set(unset_fields) == (set(()) & set(("processor", "defaultProcessorVersion", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_set_default_processor_version_rest_interceptors(null_interceptor): + transport = transports.DocumentProcessorServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentProcessorServiceRestInterceptor(), + ) + client = DocumentProcessorServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(operation.Operation, "_set_result_from_operation"), \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "post_set_default_processor_version") as post, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "pre_set_default_processor_version") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_processor_service.SetDefaultProcessorVersionRequest.pb(document_processor_service.SetDefaultProcessorVersionRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = json_format.MessageToJson(operations_pb2.Operation()) + + request = document_processor_service.SetDefaultProcessorVersionRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = operations_pb2.Operation() + + client.set_default_processor_version(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_set_default_processor_version_rest_bad_request(transport: str = 'rest', request_type=document_processor_service.SetDefaultProcessorVersionRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'processor': 'projects/sample1/locations/sample2/processors/sample3'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.set_default_processor_version(request) + + +def test_set_default_processor_version_rest_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest' + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.ReviewDocumentRequest, + dict, +]) +def test_review_document_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'human_review_config': 'projects/sample1/locations/sample2/processors/sample3/humanReviewConfig'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.review_document(request) + + # Establish that the response is the type that we expect. + assert response.operation.name == "operations/spam" + + +def test_review_document_rest_required_fields(request_type=document_processor_service.ReviewDocumentRequest): + transport_class = transports.DocumentProcessorServiceRestTransport + + request_init = {} + request_init["human_review_config"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).review_document._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["humanReviewConfig"] = 'human_review_config_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).review_document._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "humanReviewConfig" in jsonified_request + assert jsonified_request["humanReviewConfig"] == 'human_review_config_value' + + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "post", + 'query_params': pb_request, + } + transcode_result['body'] = pb_request + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.review_document(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_review_document_rest_unset_required_fields(): + transport = transports.DocumentProcessorServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.review_document._get_unset_required_fields({}) + assert set(unset_fields) == (set(()) & set(("humanReviewConfig", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_review_document_rest_interceptors(null_interceptor): + transport = transports.DocumentProcessorServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentProcessorServiceRestInterceptor(), + ) + client = DocumentProcessorServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(operation.Operation, "_set_result_from_operation"), \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "post_review_document") as post, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "pre_review_document") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_processor_service.ReviewDocumentRequest.pb(document_processor_service.ReviewDocumentRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = json_format.MessageToJson(operations_pb2.Operation()) + + request = document_processor_service.ReviewDocumentRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = operations_pb2.Operation() + + client.review_document(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_review_document_rest_bad_request(transport: str = 'rest', request_type=document_processor_service.ReviewDocumentRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'human_review_config': 'projects/sample1/locations/sample2/processors/sample3/humanReviewConfig'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.review_document(request) + + +def test_review_document_rest_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + + # get arguments that satisfy an http rule for this method + sample_request = {'human_review_config': 'projects/sample1/locations/sample2/processors/sample3/humanReviewConfig'} + + # get truthy value for each flattened field + mock_args = dict( + human_review_config='human_review_config_value', + ) + mock_args.update(sample_request) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + client.review_document(**mock_args) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(req.mock_calls) == 1 + _, args, _ = req.mock_calls[0] + assert path_template.validate("%s/v1/{human_review_config=projects/*/locations/*/processors/*/humanReviewConfig}:reviewDocument" % client.transport._host, args[1]) + + +def test_review_document_rest_flattened_error(transport: str = 'rest'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.review_document( + document_processor_service.ReviewDocumentRequest(), + human_review_config='human_review_config_value', + ) + + +def test_review_document_rest_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest' + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.EvaluateProcessorVersionRequest, + dict, +]) +def test_evaluate_processor_version_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'processor_version': 'projects/sample1/locations/sample2/processors/sample3/processorVersions/sample4'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.evaluate_processor_version(request) + + # Establish that the response is the type that we expect. + assert response.operation.name == "operations/spam" + + +def test_evaluate_processor_version_rest_required_fields(request_type=document_processor_service.EvaluateProcessorVersionRequest): + transport_class = transports.DocumentProcessorServiceRestTransport + + request_init = {} + request_init["processor_version"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).evaluate_processor_version._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["processorVersion"] = 'processor_version_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).evaluate_processor_version._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "processorVersion" in jsonified_request + assert jsonified_request["processorVersion"] == 'processor_version_value' + + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "post", + 'query_params': pb_request, + } + transcode_result['body'] = pb_request + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.evaluate_processor_version(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_evaluate_processor_version_rest_unset_required_fields(): + transport = transports.DocumentProcessorServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.evaluate_processor_version._get_unset_required_fields({}) + assert set(unset_fields) == (set(()) & set(("processorVersion", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_evaluate_processor_version_rest_interceptors(null_interceptor): + transport = transports.DocumentProcessorServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentProcessorServiceRestInterceptor(), + ) + client = DocumentProcessorServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(operation.Operation, "_set_result_from_operation"), \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "post_evaluate_processor_version") as post, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "pre_evaluate_processor_version") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_processor_service.EvaluateProcessorVersionRequest.pb(document_processor_service.EvaluateProcessorVersionRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = json_format.MessageToJson(operations_pb2.Operation()) + + request = document_processor_service.EvaluateProcessorVersionRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = operations_pb2.Operation() + + client.evaluate_processor_version(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_evaluate_processor_version_rest_bad_request(transport: str = 'rest', request_type=document_processor_service.EvaluateProcessorVersionRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'processor_version': 'projects/sample1/locations/sample2/processors/sample3/processorVersions/sample4'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.evaluate_processor_version(request) + + +def test_evaluate_processor_version_rest_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + + # get arguments that satisfy an http rule for this method + sample_request = {'processor_version': 'projects/sample1/locations/sample2/processors/sample3/processorVersions/sample4'} + + # get truthy value for each flattened field + mock_args = dict( + processor_version='processor_version_value', + ) + mock_args.update(sample_request) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + client.evaluate_processor_version(**mock_args) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(req.mock_calls) == 1 + _, args, _ = req.mock_calls[0] + assert path_template.validate("%s/v1/{processor_version=projects/*/locations/*/processors/*/processorVersions/*}:evaluateProcessorVersion" % client.transport._host, args[1]) + + +def test_evaluate_processor_version_rest_flattened_error(transport: str = 'rest'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.evaluate_processor_version( + document_processor_service.EvaluateProcessorVersionRequest(), + processor_version='processor_version_value', + ) + + +def test_evaluate_processor_version_rest_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest' + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.GetEvaluationRequest, + dict, +]) +def test_get_evaluation_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processors/sample3/processorVersions/sample4/evaluations/sample5'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = evaluation.Evaluation( + name='name_value', + kms_key_name='kms_key_name_value', + kms_key_version_name='kms_key_version_name_value', + ) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = evaluation.Evaluation.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.get_evaluation(request) + + # Establish that the response is the type that we expect. + assert isinstance(response, evaluation.Evaluation) + assert response.name == 'name_value' + assert response.kms_key_name == 'kms_key_name_value' + assert response.kms_key_version_name == 'kms_key_version_name_value' + + +def test_get_evaluation_rest_required_fields(request_type=document_processor_service.GetEvaluationRequest): + transport_class = transports.DocumentProcessorServiceRestTransport + + request_init = {} + request_init["name"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).get_evaluation._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["name"] = 'name_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).get_evaluation._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "name" in jsonified_request + assert jsonified_request["name"] == 'name_value' + + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = evaluation.Evaluation() + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "get", + 'query_params': pb_request, + } + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + + # Convert return value to protobuf type + return_value = evaluation.Evaluation.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.get_evaluation(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_get_evaluation_rest_unset_required_fields(): + transport = transports.DocumentProcessorServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.get_evaluation._get_unset_required_fields({}) + assert set(unset_fields) == (set(()) & set(("name", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_get_evaluation_rest_interceptors(null_interceptor): + transport = transports.DocumentProcessorServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentProcessorServiceRestInterceptor(), + ) + client = DocumentProcessorServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "post_get_evaluation") as post, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "pre_get_evaluation") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_processor_service.GetEvaluationRequest.pb(document_processor_service.GetEvaluationRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = evaluation.Evaluation.to_json(evaluation.Evaluation()) + + request = document_processor_service.GetEvaluationRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = evaluation.Evaluation() + + client.get_evaluation(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_get_evaluation_rest_bad_request(transport: str = 'rest', request_type=document_processor_service.GetEvaluationRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processors/sample3/processorVersions/sample4/evaluations/sample5'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.get_evaluation(request) + + +def test_get_evaluation_rest_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = evaluation.Evaluation() + + # get arguments that satisfy an http rule for this method + sample_request = {'name': 'projects/sample1/locations/sample2/processors/sample3/processorVersions/sample4/evaluations/sample5'} + + # get truthy value for each flattened field + mock_args = dict( + name='name_value', + ) + mock_args.update(sample_request) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = evaluation.Evaluation.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + client.get_evaluation(**mock_args) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(req.mock_calls) == 1 + _, args, _ = req.mock_calls[0] + assert path_template.validate("%s/v1/{name=projects/*/locations/*/processors/*/processorVersions/*/evaluations/*}" % client.transport._host, args[1]) + + +def test_get_evaluation_rest_flattened_error(transport: str = 'rest'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.get_evaluation( + document_processor_service.GetEvaluationRequest(), + name='name_value', + ) + + +def test_get_evaluation_rest_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest' + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.ListEvaluationsRequest, + dict, +]) +def test_list_evaluations_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'parent': 'projects/sample1/locations/sample2/processors/sample3/processorVersions/sample4'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = document_processor_service.ListEvaluationsResponse( + next_page_token='next_page_token_value', + ) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = document_processor_service.ListEvaluationsResponse.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.list_evaluations(request) + + # Establish that the response is the type that we expect. + assert isinstance(response, pagers.ListEvaluationsPager) + assert response.next_page_token == 'next_page_token_value' + + +def test_list_evaluations_rest_required_fields(request_type=document_processor_service.ListEvaluationsRequest): + transport_class = transports.DocumentProcessorServiceRestTransport + + request_init = {} + request_init["parent"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).list_evaluations._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["parent"] = 'parent_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).list_evaluations._get_unset_required_fields(jsonified_request) + # Check that path parameters and body parameters are not mixing in. + assert not set(unset_fields) - set(("page_size", "page_token", )) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "parent" in jsonified_request + assert jsonified_request["parent"] == 'parent_value' + + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = document_processor_service.ListEvaluationsResponse() + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "get", + 'query_params': pb_request, + } + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + + # Convert return value to protobuf type + return_value = document_processor_service.ListEvaluationsResponse.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.list_evaluations(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_list_evaluations_rest_unset_required_fields(): + transport = transports.DocumentProcessorServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.list_evaluations._get_unset_required_fields({}) + assert set(unset_fields) == (set(("pageSize", "pageToken", )) & set(("parent", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_list_evaluations_rest_interceptors(null_interceptor): + transport = transports.DocumentProcessorServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentProcessorServiceRestInterceptor(), + ) + client = DocumentProcessorServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "post_list_evaluations") as post, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "pre_list_evaluations") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_processor_service.ListEvaluationsRequest.pb(document_processor_service.ListEvaluationsRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = document_processor_service.ListEvaluationsResponse.to_json(document_processor_service.ListEvaluationsResponse()) + + request = document_processor_service.ListEvaluationsRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = document_processor_service.ListEvaluationsResponse() + + client.list_evaluations(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_list_evaluations_rest_bad_request(transport: str = 'rest', request_type=document_processor_service.ListEvaluationsRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'parent': 'projects/sample1/locations/sample2/processors/sample3/processorVersions/sample4'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.list_evaluations(request) + + +def test_list_evaluations_rest_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = document_processor_service.ListEvaluationsResponse() + + # get arguments that satisfy an http rule for this method + sample_request = {'parent': 'projects/sample1/locations/sample2/processors/sample3/processorVersions/sample4'} + + # get truthy value for each flattened field + mock_args = dict( + parent='parent_value', + ) + mock_args.update(sample_request) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = document_processor_service.ListEvaluationsResponse.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + client.list_evaluations(**mock_args) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(req.mock_calls) == 1 + _, args, _ = req.mock_calls[0] + assert path_template.validate("%s/v1/{parent=projects/*/locations/*/processors/*/processorVersions/*}/evaluations" % client.transport._host, args[1]) + + +def test_list_evaluations_rest_flattened_error(transport: str = 'rest'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.list_evaluations( + document_processor_service.ListEvaluationsRequest(), + parent='parent_value', + ) + + +def test_list_evaluations_rest_pager(transport: str = 'rest'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # TODO(kbandes): remove this mock unless there's a good reason for it. + #with mock.patch.object(path_template, 'transcode') as transcode: + # Set the response as a series of pages + response = ( + document_processor_service.ListEvaluationsResponse( + evaluations=[ + evaluation.Evaluation(), + evaluation.Evaluation(), + evaluation.Evaluation(), + ], + next_page_token='abc', + ), + document_processor_service.ListEvaluationsResponse( + evaluations=[], + next_page_token='def', + ), + document_processor_service.ListEvaluationsResponse( + evaluations=[ + evaluation.Evaluation(), + ], + next_page_token='ghi', + ), + document_processor_service.ListEvaluationsResponse( + evaluations=[ + evaluation.Evaluation(), + evaluation.Evaluation(), + ], + ), + ) + # Two responses for two calls + response = response + response + + # Wrap the values into proper Response objs + response = tuple(document_processor_service.ListEvaluationsResponse.to_json(x) for x in response) + return_values = tuple(Response() for i in response) + for return_val, response_val in zip(return_values, response): + return_val._content = response_val.encode('UTF-8') + return_val.status_code = 200 + req.side_effect = return_values + + sample_request = {'parent': 'projects/sample1/locations/sample2/processors/sample3/processorVersions/sample4'} + + pager = client.list_evaluations(request=sample_request) + + results = list(pager) + assert len(results) == 6 + assert all(isinstance(i, evaluation.Evaluation) + for i in results) + + pages = list(client.list_evaluations(request=sample_request).pages) + for page_, token in zip(pages, ['abc','def','ghi', '']): + assert page_.raw_page.next_page_token == token + + +def test_credentials_transport_error(): + # It is an error to provide credentials and a transport instance. + transport = transports.DocumentProcessorServiceGrpcTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + with pytest.raises(ValueError): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # It is an error to provide a credentials file and a transport instance. + transport = transports.DocumentProcessorServiceGrpcTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + with pytest.raises(ValueError): + client = DocumentProcessorServiceClient( + client_options={"credentials_file": "credentials.json"}, + transport=transport, + ) + + # It is an error to provide an api_key and a transport instance. + transport = transports.DocumentProcessorServiceGrpcTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + options = client_options.ClientOptions() + options.api_key = "api_key" + with pytest.raises(ValueError): + client = DocumentProcessorServiceClient( + client_options=options, + transport=transport, + ) + + # It is an error to provide an api_key and a credential. + options = client_options.ClientOptions() + options.api_key = "api_key" + with pytest.raises(ValueError): + client = DocumentProcessorServiceClient( + client_options=options, + credentials=ga_credentials.AnonymousCredentials() + ) + + # It is an error to provide scopes and a transport instance. + transport = transports.DocumentProcessorServiceGrpcTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + with pytest.raises(ValueError): + client = DocumentProcessorServiceClient( + client_options={"scopes": ["1", "2"]}, + transport=transport, + ) + + +def test_transport_instance(): + # A client may be instantiated with a custom transport instance. + transport = transports.DocumentProcessorServiceGrpcTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + client = DocumentProcessorServiceClient(transport=transport) + assert client.transport is transport + +def test_transport_get_channel(): + # A client may be instantiated with a custom transport instance. + transport = transports.DocumentProcessorServiceGrpcTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + channel = transport.grpc_channel + assert channel + + transport = transports.DocumentProcessorServiceGrpcAsyncIOTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + channel = transport.grpc_channel + assert channel + +@pytest.mark.parametrize("transport_class", [ + transports.DocumentProcessorServiceGrpcTransport, + transports.DocumentProcessorServiceGrpcAsyncIOTransport, + transports.DocumentProcessorServiceRestTransport, +]) +def test_transport_adc(transport_class): + # Test default credentials are used if not provided. + with mock.patch.object(google.auth, 'default') as adc: + adc.return_value = (ga_credentials.AnonymousCredentials(), None) + transport_class() + adc.assert_called_once() + +@pytest.mark.parametrize("transport_name", [ + "grpc", + "rest", +]) +def test_transport_kind(transport_name): + transport = DocumentProcessorServiceClient.get_transport_class(transport_name)( + credentials=ga_credentials.AnonymousCredentials(), + ) + assert transport.kind == transport_name + +def test_transport_grpc_default(): + # A client should use the gRPC transport by default. + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + assert isinstance( + client.transport, + transports.DocumentProcessorServiceGrpcTransport, + ) + +def test_document_processor_service_base_transport_error(): + # Passing both a credentials object and credentials_file should raise an error + with pytest.raises(core_exceptions.DuplicateCredentialArgs): + transport = transports.DocumentProcessorServiceTransport( + credentials=ga_credentials.AnonymousCredentials(), + credentials_file="credentials.json" + ) + + +def test_document_processor_service_base_transport(): + # Instantiate the base transport. + with mock.patch('google.cloud.documentai_v1.services.document_processor_service.transports.DocumentProcessorServiceTransport.__init__') as Transport: + Transport.return_value = None + transport = transports.DocumentProcessorServiceTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Every method on the transport should just blindly + # raise NotImplementedError. + methods = ( + 'process_document', + 'batch_process_documents', + 'fetch_processor_types', + 'list_processor_types', + 'get_processor_type', + 'list_processors', + 'get_processor', + 'train_processor_version', + 'get_processor_version', + 'list_processor_versions', + 'delete_processor_version', + 'deploy_processor_version', + 'undeploy_processor_version', + 'create_processor', + 'delete_processor', + 'enable_processor', + 'disable_processor', + 'set_default_processor_version', + 'review_document', + 'evaluate_processor_version', + 'get_evaluation', + 'list_evaluations', + 'get_location', + 'list_locations', + 'get_operation', + 'cancel_operation', + 'list_operations', + ) + for method in methods: + with pytest.raises(NotImplementedError): + getattr(transport, method)(request=object()) + + with pytest.raises(NotImplementedError): + transport.close() + + # Additionally, the LRO client (a property) should + # also raise NotImplementedError + with pytest.raises(NotImplementedError): + transport.operations_client + + # Catch all for all remaining methods and properties + remainder = [ + 'kind', + ] + for r in remainder: + with pytest.raises(NotImplementedError): + getattr(transport, r)() + + +def test_document_processor_service_base_transport_with_credentials_file(): + # Instantiate the base transport with a credentials file + with mock.patch.object(google.auth, 'load_credentials_from_file', autospec=True) as load_creds, mock.patch('google.cloud.documentai_v1.services.document_processor_service.transports.DocumentProcessorServiceTransport._prep_wrapped_messages') as Transport: + Transport.return_value = None + load_creds.return_value = (ga_credentials.AnonymousCredentials(), None) + transport = transports.DocumentProcessorServiceTransport( + credentials_file="credentials.json", + quota_project_id="octopus", + ) + load_creds.assert_called_once_with("credentials.json", + scopes=None, + default_scopes=( + 'https://www.googleapis.com/auth/cloud-platform', +), + quota_project_id="octopus", + ) + + +def test_document_processor_service_base_transport_with_adc(): + # Test the default credentials are used if credentials and credentials_file are None. + with mock.patch.object(google.auth, 'default', autospec=True) as adc, mock.patch('google.cloud.documentai_v1.services.document_processor_service.transports.DocumentProcessorServiceTransport._prep_wrapped_messages') as Transport: + Transport.return_value = None + adc.return_value = (ga_credentials.AnonymousCredentials(), None) + transport = transports.DocumentProcessorServiceTransport() + adc.assert_called_once() + + +def test_document_processor_service_auth_adc(): + # If no credentials are provided, we should use ADC credentials. + with mock.patch.object(google.auth, 'default', autospec=True) as adc: + adc.return_value = (ga_credentials.AnonymousCredentials(), None) + DocumentProcessorServiceClient() + adc.assert_called_once_with( + scopes=None, + default_scopes=( + 'https://www.googleapis.com/auth/cloud-platform', +), + quota_project_id=None, + ) + + +@pytest.mark.parametrize( + "transport_class", + [ + transports.DocumentProcessorServiceGrpcTransport, + transports.DocumentProcessorServiceGrpcAsyncIOTransport, + ], +) +def test_document_processor_service_transport_auth_adc(transport_class): + # If credentials and host are not provided, the transport class should use + # ADC credentials. + with mock.patch.object(google.auth, 'default', autospec=True) as adc: + adc.return_value = (ga_credentials.AnonymousCredentials(), None) + transport_class(quota_project_id="octopus", scopes=["1", "2"]) + adc.assert_called_once_with( + scopes=["1", "2"], + default_scopes=( 'https://www.googleapis.com/auth/cloud-platform',), + quota_project_id="octopus", + ) + + +@pytest.mark.parametrize( + "transport_class", + [ + transports.DocumentProcessorServiceGrpcTransport, + transports.DocumentProcessorServiceGrpcAsyncIOTransport, + transports.DocumentProcessorServiceRestTransport, + ], +) +def test_document_processor_service_transport_auth_gdch_credentials(transport_class): + host = 'https://language.com' + api_audience_tests = [None, 'https://language2.com'] + api_audience_expect = [host, 'https://language2.com'] + for t, e in zip(api_audience_tests, api_audience_expect): + with mock.patch.object(google.auth, 'default', autospec=True) as adc: + gdch_mock = mock.MagicMock() + type(gdch_mock).with_gdch_audience = mock.PropertyMock(return_value=gdch_mock) + adc.return_value = (gdch_mock, None) + transport_class(host=host, api_audience=t) + gdch_mock.with_gdch_audience.assert_called_once_with( + e + ) + + +@pytest.mark.parametrize( + "transport_class,grpc_helpers", + [ + (transports.DocumentProcessorServiceGrpcTransport, grpc_helpers), + (transports.DocumentProcessorServiceGrpcAsyncIOTransport, grpc_helpers_async) + ], +) +def test_document_processor_service_transport_create_channel(transport_class, grpc_helpers): + # If credentials and host are not provided, the transport class should use + # ADC credentials. + with mock.patch.object(google.auth, "default", autospec=True) as adc, mock.patch.object( + grpc_helpers, "create_channel", autospec=True + ) as create_channel: + creds = ga_credentials.AnonymousCredentials() + adc.return_value = (creds, None) + transport_class( + quota_project_id="octopus", + scopes=["1", "2"] + ) + + create_channel.assert_called_with( + "documentai.googleapis.com:443", + credentials=creds, + credentials_file=None, + quota_project_id="octopus", + default_scopes=( + 'https://www.googleapis.com/auth/cloud-platform', +), + scopes=["1", "2"], + default_host="documentai.googleapis.com", + ssl_credentials=None, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + +@pytest.mark.parametrize("transport_class", [transports.DocumentProcessorServiceGrpcTransport, transports.DocumentProcessorServiceGrpcAsyncIOTransport]) +def test_document_processor_service_grpc_transport_client_cert_source_for_mtls( + transport_class +): + cred = ga_credentials.AnonymousCredentials() + + # Check ssl_channel_credentials is used if provided. + with mock.patch.object(transport_class, "create_channel") as mock_create_channel: + mock_ssl_channel_creds = mock.Mock() + transport_class( + host="squid.clam.whelk", + credentials=cred, + ssl_channel_credentials=mock_ssl_channel_creds + ) + mock_create_channel.assert_called_once_with( + "squid.clam.whelk:443", + credentials=cred, + credentials_file=None, + scopes=None, + ssl_credentials=mock_ssl_channel_creds, + quota_project_id=None, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + # Check if ssl_channel_credentials is not provided, then client_cert_source_for_mtls + # is used. + with mock.patch.object(transport_class, "create_channel", return_value=mock.Mock()): + with mock.patch("grpc.ssl_channel_credentials") as mock_ssl_cred: + transport_class( + credentials=cred, + client_cert_source_for_mtls=client_cert_source_callback + ) + expected_cert, expected_key = client_cert_source_callback() + mock_ssl_cred.assert_called_once_with( + certificate_chain=expected_cert, + private_key=expected_key + ) + +def test_document_processor_service_http_transport_client_cert_source_for_mtls(): + cred = ga_credentials.AnonymousCredentials() + with mock.patch("google.auth.transport.requests.AuthorizedSession.configure_mtls_channel") as mock_configure_mtls_channel: + transports.DocumentProcessorServiceRestTransport ( + credentials=cred, + client_cert_source_for_mtls=client_cert_source_callback + ) + mock_configure_mtls_channel.assert_called_once_with(client_cert_source_callback) + + +def test_document_processor_service_rest_lro_client(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + transport = client.transport + + # Ensure that we have a api-core operations client. + assert isinstance( + transport.operations_client, + operations_v1.AbstractOperationsClient, + ) + + # Ensure that subsequent calls to the property send the exact same object. + assert transport.operations_client is transport.operations_client + + +@pytest.mark.parametrize("transport_name", [ + "grpc", + "grpc_asyncio", + "rest", +]) +def test_document_processor_service_host_no_port(transport_name): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + client_options=client_options.ClientOptions(api_endpoint='documentai.googleapis.com'), + transport=transport_name, + ) + assert client.transport._host == ( + 'documentai.googleapis.com:443' + if transport_name in ['grpc', 'grpc_asyncio'] + else 'https://documentai.googleapis.com' + ) + +@pytest.mark.parametrize("transport_name", [ + "grpc", + "grpc_asyncio", + "rest", +]) +def test_document_processor_service_host_with_port(transport_name): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + client_options=client_options.ClientOptions(api_endpoint='documentai.googleapis.com:8000'), + transport=transport_name, + ) + assert client.transport._host == ( + 'documentai.googleapis.com:8000' + if transport_name in ['grpc', 'grpc_asyncio'] + else 'https://documentai.googleapis.com:8000' + ) + +@pytest.mark.parametrize("transport_name", [ + "rest", +]) +def test_document_processor_service_client_transport_session_collision(transport_name): + creds1 = ga_credentials.AnonymousCredentials() + creds2 = ga_credentials.AnonymousCredentials() + client1 = DocumentProcessorServiceClient( + credentials=creds1, + transport=transport_name, + ) + client2 = DocumentProcessorServiceClient( + credentials=creds2, + transport=transport_name, + ) + session1 = client1.transport.process_document._session + session2 = client2.transport.process_document._session + assert session1 != session2 + session1 = client1.transport.batch_process_documents._session + session2 = client2.transport.batch_process_documents._session + assert session1 != session2 + session1 = client1.transport.fetch_processor_types._session + session2 = client2.transport.fetch_processor_types._session + assert session1 != session2 + session1 = client1.transport.list_processor_types._session + session2 = client2.transport.list_processor_types._session + assert session1 != session2 + session1 = client1.transport.get_processor_type._session + session2 = client2.transport.get_processor_type._session + assert session1 != session2 + session1 = client1.transport.list_processors._session + session2 = client2.transport.list_processors._session + assert session1 != session2 + session1 = client1.transport.get_processor._session + session2 = client2.transport.get_processor._session + assert session1 != session2 + session1 = client1.transport.train_processor_version._session + session2 = client2.transport.train_processor_version._session + assert session1 != session2 + session1 = client1.transport.get_processor_version._session + session2 = client2.transport.get_processor_version._session + assert session1 != session2 + session1 = client1.transport.list_processor_versions._session + session2 = client2.transport.list_processor_versions._session + assert session1 != session2 + session1 = client1.transport.delete_processor_version._session + session2 = client2.transport.delete_processor_version._session + assert session1 != session2 + session1 = client1.transport.deploy_processor_version._session + session2 = client2.transport.deploy_processor_version._session + assert session1 != session2 + session1 = client1.transport.undeploy_processor_version._session + session2 = client2.transport.undeploy_processor_version._session + assert session1 != session2 + session1 = client1.transport.create_processor._session + session2 = client2.transport.create_processor._session + assert session1 != session2 + session1 = client1.transport.delete_processor._session + session2 = client2.transport.delete_processor._session + assert session1 != session2 + session1 = client1.transport.enable_processor._session + session2 = client2.transport.enable_processor._session + assert session1 != session2 + session1 = client1.transport.disable_processor._session + session2 = client2.transport.disable_processor._session + assert session1 != session2 + session1 = client1.transport.set_default_processor_version._session + session2 = client2.transport.set_default_processor_version._session + assert session1 != session2 + session1 = client1.transport.review_document._session + session2 = client2.transport.review_document._session + assert session1 != session2 + session1 = client1.transport.evaluate_processor_version._session + session2 = client2.transport.evaluate_processor_version._session + assert session1 != session2 + session1 = client1.transport.get_evaluation._session + session2 = client2.transport.get_evaluation._session + assert session1 != session2 + session1 = client1.transport.list_evaluations._session + session2 = client2.transport.list_evaluations._session + assert session1 != session2 +def test_document_processor_service_grpc_transport_channel(): + channel = grpc.secure_channel('http://localhost/', grpc.local_channel_credentials()) + + # Check that channel is used if provided. + transport = transports.DocumentProcessorServiceGrpcTransport( + host="squid.clam.whelk", + channel=channel, + ) + assert transport.grpc_channel == channel + assert transport._host == "squid.clam.whelk:443" + assert transport._ssl_channel_credentials == None + + +def test_document_processor_service_grpc_asyncio_transport_channel(): + channel = aio.secure_channel('http://localhost/', grpc.local_channel_credentials()) + + # Check that channel is used if provided. + transport = transports.DocumentProcessorServiceGrpcAsyncIOTransport( + host="squid.clam.whelk", + channel=channel, + ) + assert transport.grpc_channel == channel + assert transport._host == "squid.clam.whelk:443" + assert transport._ssl_channel_credentials == None + + +# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are +# removed from grpc/grpc_asyncio transport constructor. +@pytest.mark.parametrize("transport_class", [transports.DocumentProcessorServiceGrpcTransport, transports.DocumentProcessorServiceGrpcAsyncIOTransport]) +def test_document_processor_service_transport_channel_mtls_with_client_cert_source( + transport_class +): + with mock.patch("grpc.ssl_channel_credentials", autospec=True) as grpc_ssl_channel_cred: + with mock.patch.object(transport_class, "create_channel") as grpc_create_channel: + mock_ssl_cred = mock.Mock() + grpc_ssl_channel_cred.return_value = mock_ssl_cred + + mock_grpc_channel = mock.Mock() + grpc_create_channel.return_value = mock_grpc_channel + + cred = ga_credentials.AnonymousCredentials() + with pytest.warns(DeprecationWarning): + with mock.patch.object(google.auth, 'default') as adc: + adc.return_value = (cred, None) + transport = transport_class( + host="squid.clam.whelk", + api_mtls_endpoint="mtls.squid.clam.whelk", + client_cert_source=client_cert_source_callback, + ) + adc.assert_called_once() + + grpc_ssl_channel_cred.assert_called_once_with( + certificate_chain=b"cert bytes", private_key=b"key bytes" + ) + grpc_create_channel.assert_called_once_with( + "mtls.squid.clam.whelk:443", + credentials=cred, + credentials_file=None, + scopes=None, + ssl_credentials=mock_ssl_cred, + quota_project_id=None, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + assert transport.grpc_channel == mock_grpc_channel + assert transport._ssl_channel_credentials == mock_ssl_cred + + +# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are +# removed from grpc/grpc_asyncio transport constructor. +@pytest.mark.parametrize("transport_class", [transports.DocumentProcessorServiceGrpcTransport, transports.DocumentProcessorServiceGrpcAsyncIOTransport]) +def test_document_processor_service_transport_channel_mtls_with_adc( + transport_class +): + mock_ssl_cred = mock.Mock() + with mock.patch.multiple( + "google.auth.transport.grpc.SslCredentials", + __init__=mock.Mock(return_value=None), + ssl_credentials=mock.PropertyMock(return_value=mock_ssl_cred), + ): + with mock.patch.object(transport_class, "create_channel") as grpc_create_channel: + mock_grpc_channel = mock.Mock() + grpc_create_channel.return_value = mock_grpc_channel + mock_cred = mock.Mock() + + with pytest.warns(DeprecationWarning): + transport = transport_class( + host="squid.clam.whelk", + credentials=mock_cred, + api_mtls_endpoint="mtls.squid.clam.whelk", + client_cert_source=None, + ) + + grpc_create_channel.assert_called_once_with( + "mtls.squid.clam.whelk:443", + credentials=mock_cred, + credentials_file=None, + scopes=None, + ssl_credentials=mock_ssl_cred, + quota_project_id=None, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + assert transport.grpc_channel == mock_grpc_channel + + +def test_document_processor_service_grpc_lro_client(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + transport = client.transport + + # Ensure that we have a api-core operations client. + assert isinstance( + transport.operations_client, + operations_v1.OperationsClient, + ) + + # Ensure that subsequent calls to the property send the exact same object. + assert transport.operations_client is transport.operations_client + + +def test_document_processor_service_grpc_lro_async_client(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc_asyncio', + ) + transport = client.transport + + # Ensure that we have a api-core operations client. + assert isinstance( + transport.operations_client, + operations_v1.OperationsAsyncClient, + ) + + # Ensure that subsequent calls to the property send the exact same object. + assert transport.operations_client is transport.operations_client + + +def test_evaluation_path(): + project = "squid" + location = "clam" + processor = "whelk" + processor_version = "octopus" + evaluation = "oyster" + expected = "projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processor_version}/evaluations/{evaluation}".format(project=project, location=location, processor=processor, processor_version=processor_version, evaluation=evaluation, ) + actual = DocumentProcessorServiceClient.evaluation_path(project, location, processor, processor_version, evaluation) + assert expected == actual + + +def test_parse_evaluation_path(): + expected = { + "project": "nudibranch", + "location": "cuttlefish", + "processor": "mussel", + "processor_version": "winkle", + "evaluation": "nautilus", + } + path = DocumentProcessorServiceClient.evaluation_path(**expected) + + # Check that the path construction is reversible. + actual = DocumentProcessorServiceClient.parse_evaluation_path(path) + assert expected == actual + +def test_human_review_config_path(): + project = "scallop" + location = "abalone" + processor = "squid" + expected = "projects/{project}/locations/{location}/processors/{processor}/humanReviewConfig".format(project=project, location=location, processor=processor, ) + actual = DocumentProcessorServiceClient.human_review_config_path(project, location, processor) + assert expected == actual + + +def test_parse_human_review_config_path(): + expected = { + "project": "clam", + "location": "whelk", + "processor": "octopus", + } + path = DocumentProcessorServiceClient.human_review_config_path(**expected) + + # Check that the path construction is reversible. + actual = DocumentProcessorServiceClient.parse_human_review_config_path(path) + assert expected == actual + +def test_processor_path(): + project = "oyster" + location = "nudibranch" + processor = "cuttlefish" + expected = "projects/{project}/locations/{location}/processors/{processor}".format(project=project, location=location, processor=processor, ) + actual = DocumentProcessorServiceClient.processor_path(project, location, processor) + assert expected == actual + + +def test_parse_processor_path(): + expected = { + "project": "mussel", + "location": "winkle", + "processor": "nautilus", + } + path = DocumentProcessorServiceClient.processor_path(**expected) + + # Check that the path construction is reversible. + actual = DocumentProcessorServiceClient.parse_processor_path(path) + assert expected == actual + +def test_processor_type_path(): + project = "scallop" + location = "abalone" + processor_type = "squid" + expected = "projects/{project}/locations/{location}/processorTypes/{processor_type}".format(project=project, location=location, processor_type=processor_type, ) + actual = DocumentProcessorServiceClient.processor_type_path(project, location, processor_type) + assert expected == actual + + +def test_parse_processor_type_path(): + expected = { + "project": "clam", + "location": "whelk", + "processor_type": "octopus", + } + path = DocumentProcessorServiceClient.processor_type_path(**expected) + + # Check that the path construction is reversible. + actual = DocumentProcessorServiceClient.parse_processor_type_path(path) + assert expected == actual + +def test_processor_version_path(): + project = "oyster" + location = "nudibranch" + processor = "cuttlefish" + processor_version = "mussel" + expected = "projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processor_version}".format(project=project, location=location, processor=processor, processor_version=processor_version, ) + actual = DocumentProcessorServiceClient.processor_version_path(project, location, processor, processor_version) + assert expected == actual + + +def test_parse_processor_version_path(): + expected = { + "project": "winkle", + "location": "nautilus", + "processor": "scallop", + "processor_version": "abalone", + } + path = DocumentProcessorServiceClient.processor_version_path(**expected) + + # Check that the path construction is reversible. + actual = DocumentProcessorServiceClient.parse_processor_version_path(path) + assert expected == actual + +def test_common_billing_account_path(): + billing_account = "squid" + expected = "billingAccounts/{billing_account}".format(billing_account=billing_account, ) + actual = DocumentProcessorServiceClient.common_billing_account_path(billing_account) + assert expected == actual + + +def test_parse_common_billing_account_path(): + expected = { + "billing_account": "clam", + } + path = DocumentProcessorServiceClient.common_billing_account_path(**expected) + + # Check that the path construction is reversible. + actual = DocumentProcessorServiceClient.parse_common_billing_account_path(path) + assert expected == actual + +def test_common_folder_path(): + folder = "whelk" + expected = "folders/{folder}".format(folder=folder, ) + actual = DocumentProcessorServiceClient.common_folder_path(folder) + assert expected == actual + + +def test_parse_common_folder_path(): + expected = { + "folder": "octopus", + } + path = DocumentProcessorServiceClient.common_folder_path(**expected) + + # Check that the path construction is reversible. + actual = DocumentProcessorServiceClient.parse_common_folder_path(path) + assert expected == actual + +def test_common_organization_path(): + organization = "oyster" + expected = "organizations/{organization}".format(organization=organization, ) + actual = DocumentProcessorServiceClient.common_organization_path(organization) + assert expected == actual + + +def test_parse_common_organization_path(): + expected = { + "organization": "nudibranch", + } + path = DocumentProcessorServiceClient.common_organization_path(**expected) + + # Check that the path construction is reversible. + actual = DocumentProcessorServiceClient.parse_common_organization_path(path) + assert expected == actual + +def test_common_project_path(): + project = "cuttlefish" + expected = "projects/{project}".format(project=project, ) + actual = DocumentProcessorServiceClient.common_project_path(project) + assert expected == actual + + +def test_parse_common_project_path(): + expected = { + "project": "mussel", + } + path = DocumentProcessorServiceClient.common_project_path(**expected) + + # Check that the path construction is reversible. + actual = DocumentProcessorServiceClient.parse_common_project_path(path) + assert expected == actual + +def test_common_location_path(): + project = "winkle" + location = "nautilus" + expected = "projects/{project}/locations/{location}".format(project=project, location=location, ) + actual = DocumentProcessorServiceClient.common_location_path(project, location) + assert expected == actual + + +def test_parse_common_location_path(): + expected = { + "project": "scallop", + "location": "abalone", + } + path = DocumentProcessorServiceClient.common_location_path(**expected) + + # Check that the path construction is reversible. + actual = DocumentProcessorServiceClient.parse_common_location_path(path) + assert expected == actual + + +def test_client_with_default_client_info(): + client_info = gapic_v1.client_info.ClientInfo() + + with mock.patch.object(transports.DocumentProcessorServiceTransport, '_prep_wrapped_messages') as prep: + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + client_info=client_info, + ) + prep.assert_called_once_with(client_info) + + with mock.patch.object(transports.DocumentProcessorServiceTransport, '_prep_wrapped_messages') as prep: + transport_class = DocumentProcessorServiceClient.get_transport_class() + transport = transport_class( + credentials=ga_credentials.AnonymousCredentials(), + client_info=client_info, + ) + prep.assert_called_once_with(client_info) + +@pytest.mark.asyncio +async def test_transport_close_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="grpc_asyncio", + ) + with mock.patch.object(type(getattr(client.transport, "grpc_channel")), "close") as close: + async with client: + close.assert_not_called() + close.assert_called_once() + + +def test_get_location_rest_bad_request(transport: str = 'rest', request_type=locations_pb2.GetLocationRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + request = request_type() + request = json_format.ParseDict({'name': 'projects/sample1/locations/sample2'}, request) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.get_location(request) + +@pytest.mark.parametrize("request_type", [ + locations_pb2.GetLocationRequest, + dict, +]) +def test_get_location_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + request_init = {'name': 'projects/sample1/locations/sample2'} + request = request_type(**request_init) + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = locations_pb2.Location() + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.get_location(request) + + # Establish that the response is the type that we expect. + assert isinstance(response, locations_pb2.Location) + +def test_list_locations_rest_bad_request(transport: str = 'rest', request_type=locations_pb2.ListLocationsRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + request = request_type() + request = json_format.ParseDict({'name': 'projects/sample1'}, request) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.list_locations(request) + +@pytest.mark.parametrize("request_type", [ + locations_pb2.ListLocationsRequest, + dict, +]) +def test_list_locations_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + request_init = {'name': 'projects/sample1'} + request = request_type(**request_init) + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = locations_pb2.ListLocationsResponse() + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.list_locations(request) + + # Establish that the response is the type that we expect. + assert isinstance(response, locations_pb2.ListLocationsResponse) + +def test_cancel_operation_rest_bad_request(transport: str = 'rest', request_type=operations_pb2.CancelOperationRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + request = request_type() + request = json_format.ParseDict({'name': 'projects/sample1/locations/sample2/operations/sample3'}, request) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.cancel_operation(request) + +@pytest.mark.parametrize("request_type", [ + operations_pb2.CancelOperationRequest, + dict, +]) +def test_cancel_operation_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + request_init = {'name': 'projects/sample1/locations/sample2/operations/sample3'} + request = request_type(**request_init) + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = None + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = '{}' + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.cancel_operation(request) + + # Establish that the response is the type that we expect. + assert response is None + +def test_get_operation_rest_bad_request(transport: str = 'rest', request_type=operations_pb2.GetOperationRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + request = request_type() + request = json_format.ParseDict({'name': 'projects/sample1/operations/sample2'}, request) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.get_operation(request) + +@pytest.mark.parametrize("request_type", [ + operations_pb2.GetOperationRequest, + dict, +]) +def test_get_operation_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + request_init = {'name': 'projects/sample1/operations/sample2'} + request = request_type(**request_init) + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation() + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.get_operation(request) + + # Establish that the response is the type that we expect. + assert isinstance(response, operations_pb2.Operation) + +def test_list_operations_rest_bad_request(transport: str = 'rest', request_type=operations_pb2.ListOperationsRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + request = request_type() + request = json_format.ParseDict({'name': 'projects/sample1/locations/sample2/operations'}, request) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.list_operations(request) + +@pytest.mark.parametrize("request_type", [ + operations_pb2.ListOperationsRequest, + dict, +]) +def test_list_operations_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + request_init = {'name': 'projects/sample1/locations/sample2/operations'} + request = request_type(**request_init) + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.ListOperationsResponse() + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.list_operations(request) + + # Establish that the response is the type that we expect. + assert isinstance(response, operations_pb2.ListOperationsResponse) + + +def test_cancel_operation(transport: str = "grpc"): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = operations_pb2.CancelOperationRequest() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = None + response = client.cancel_operation(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the response is the type that we expect. + assert response is None +@pytest.mark.asyncio +async def test_cancel_operation_async(transport: str = "grpc_asyncio"): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = operations_pb2.CancelOperationRequest() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + None + ) + response = await client.cancel_operation(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the response is the type that we expect. + assert response is None + +def test_cancel_operation_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = operations_pb2.CancelOperationRequest() + request.name = "locations" + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call: + call.return_value = None + + client.cancel_operation(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ("x-goog-request-params", "name=locations",) in kw["metadata"] +@pytest.mark.asyncio +async def test_cancel_operation_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = operations_pb2.CancelOperationRequest() + request.name = "locations" + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + None + ) + await client.cancel_operation(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ("x-goog-request-params", "name=locations",) in kw["metadata"] + +def test_cancel_operation_from_dict(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = None + + response = client.cancel_operation( + request={ + "name": "locations", + } + ) + call.assert_called() +@pytest.mark.asyncio +async def test_cancel_operation_from_dict_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + None + ) + response = await client.cancel_operation( + request={ + "name": "locations", + } + ) + call.assert_called() + + +def test_get_operation(transport: str = "grpc"): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = operations_pb2.GetOperationRequest() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.get_operation), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation() + response = client.get_operation(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the response is the type that we expect. + assert isinstance(response, operations_pb2.Operation) +@pytest.mark.asyncio +async def test_get_operation_async(transport: str = "grpc_asyncio"): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = operations_pb2.GetOperationRequest() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.get_operation), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation() + ) + response = await client.get_operation(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the response is the type that we expect. + assert isinstance(response, operations_pb2.Operation) + +def test_get_operation_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = operations_pb2.GetOperationRequest() + request.name = "locations" + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.get_operation), "__call__") as call: + call.return_value = operations_pb2.Operation() + + client.get_operation(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ("x-goog-request-params", "name=locations",) in kw["metadata"] +@pytest.mark.asyncio +async def test_get_operation_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = operations_pb2.GetOperationRequest() + request.name = "locations" + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.get_operation), "__call__") as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation() + ) + await client.get_operation(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ("x-goog-request-params", "name=locations",) in kw["metadata"] + +def test_get_operation_from_dict(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.get_operation), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation() + + response = client.get_operation( + request={ + "name": "locations", + } + ) + call.assert_called() +@pytest.mark.asyncio +async def test_get_operation_from_dict_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.get_operation), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation() + ) + response = await client.get_operation( + request={ + "name": "locations", + } + ) + call.assert_called() + + +def test_list_operations(transport: str = "grpc"): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = operations_pb2.ListOperationsRequest() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_operations), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.ListOperationsResponse() + response = client.list_operations(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the response is the type that we expect. + assert isinstance(response, operations_pb2.ListOperationsResponse) +@pytest.mark.asyncio +async def test_list_operations_async(transport: str = "grpc_asyncio"): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = operations_pb2.ListOperationsRequest() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_operations), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.ListOperationsResponse() + ) + response = await client.list_operations(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the response is the type that we expect. + assert isinstance(response, operations_pb2.ListOperationsResponse) + +def test_list_operations_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = operations_pb2.ListOperationsRequest() + request.name = "locations" + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_operations), "__call__") as call: + call.return_value = operations_pb2.ListOperationsResponse() + + client.list_operations(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ("x-goog-request-params", "name=locations",) in kw["metadata"] +@pytest.mark.asyncio +async def test_list_operations_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = operations_pb2.ListOperationsRequest() + request.name = "locations" + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_operations), "__call__") as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.ListOperationsResponse() + ) + await client.list_operations(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ("x-goog-request-params", "name=locations",) in kw["metadata"] + +def test_list_operations_from_dict(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_operations), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.ListOperationsResponse() + + response = client.list_operations( + request={ + "name": "locations", + } + ) + call.assert_called() +@pytest.mark.asyncio +async def test_list_operations_from_dict_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_operations), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.ListOperationsResponse() + ) + response = await client.list_operations( + request={ + "name": "locations", + } + ) + call.assert_called() + + +def test_list_locations(transport: str = "grpc"): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = locations_pb2.ListLocationsRequest() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_locations), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = locations_pb2.ListLocationsResponse() + response = client.list_locations(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the response is the type that we expect. + assert isinstance(response, locations_pb2.ListLocationsResponse) +@pytest.mark.asyncio +async def test_list_locations_async(transport: str = "grpc_asyncio"): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = locations_pb2.ListLocationsRequest() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_locations), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + locations_pb2.ListLocationsResponse() + ) + response = await client.list_locations(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the response is the type that we expect. + assert isinstance(response, locations_pb2.ListLocationsResponse) + +def test_list_locations_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = locations_pb2.ListLocationsRequest() + request.name = "locations" + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_locations), "__call__") as call: + call.return_value = locations_pb2.ListLocationsResponse() + + client.list_locations(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ("x-goog-request-params", "name=locations",) in kw["metadata"] +@pytest.mark.asyncio +async def test_list_locations_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = locations_pb2.ListLocationsRequest() + request.name = "locations" + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_locations), "__call__") as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + locations_pb2.ListLocationsResponse() + ) + await client.list_locations(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ("x-goog-request-params", "name=locations",) in kw["metadata"] + +def test_list_locations_from_dict(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_locations), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = locations_pb2.ListLocationsResponse() + + response = client.list_locations( + request={ + "name": "locations", + } + ) + call.assert_called() +@pytest.mark.asyncio +async def test_list_locations_from_dict_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_locations), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + locations_pb2.ListLocationsResponse() + ) + response = await client.list_locations( + request={ + "name": "locations", + } + ) + call.assert_called() + + +def test_get_location(transport: str = "grpc"): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = locations_pb2.GetLocationRequest() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.get_location), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = locations_pb2.Location() + response = client.get_location(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the response is the type that we expect. + assert isinstance(response, locations_pb2.Location) +@pytest.mark.asyncio +async def test_get_location_async(transport: str = "grpc_asyncio"): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = locations_pb2.GetLocationRequest() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.get_location), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + locations_pb2.Location() + ) + response = await client.get_location(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the response is the type that we expect. + assert isinstance(response, locations_pb2.Location) + +def test_get_location_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials()) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = locations_pb2.GetLocationRequest() + request.name = "locations/abc" + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.get_location), "__call__") as call: + call.return_value = locations_pb2.Location() + + client.get_location(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ("x-goog-request-params", "name=locations/abc",) in kw["metadata"] +@pytest.mark.asyncio +async def test_get_location_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials() + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = locations_pb2.GetLocationRequest() + request.name = "locations/abc" + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.get_location), "__call__") as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + locations_pb2.Location() + ) + await client.get_location(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ("x-goog-request-params", "name=locations/abc",) in kw["metadata"] + +def test_get_location_from_dict(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_locations), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = locations_pb2.Location() + + response = client.get_location( + request={ + "name": "locations/abc", + } + ) + call.assert_called() +@pytest.mark.asyncio +async def test_get_location_from_dict_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_locations), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + locations_pb2.Location() + ) + response = await client.get_location( + request={ + "name": "locations", + } + ) + call.assert_called() + + +def test_transport_close(): + transports = { + "rest": "_session", + "grpc": "_grpc_channel", + } + + for transport, close_name in transports.items(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport + ) + with mock.patch.object(type(getattr(client.transport, close_name)), "close") as close: + with client: + close.assert_not_called() + close.assert_called_once() + +def test_client_ctx(): + transports = [ + 'rest', + 'grpc', + ] + for transport in transports: + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport + ) + # Test client calls underlying transport. + with mock.patch.object(type(client.transport), "close") as close: + close.assert_not_called() + with client: + pass + close.assert_called() + +@pytest.mark.parametrize("client_class,transport_class", [ + (DocumentProcessorServiceClient, transports.DocumentProcessorServiceGrpcTransport), + (DocumentProcessorServiceAsyncClient, transports.DocumentProcessorServiceGrpcAsyncIOTransport), +]) +def test_api_key_credentials(client_class, transport_class): + with mock.patch.object( + google.auth._default, "get_api_key_credentials", create=True + ) as get_api_key_credentials: + mock_cred = mock.Mock() + get_api_key_credentials.return_value = mock_cred + options = client_options.ClientOptions() + options.api_key = "api_key" + with mock.patch.object(transport_class, "__init__") as patched: + patched.return_value = None + client = client_class(client_options=options) + patched.assert_called_once_with( + credentials=mock_cred, + credentials_file=None, + host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE), + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta2/.coveragerc b/owl-bot-staging/google-cloud-documentai/v1beta2/.coveragerc new file mode 100644 index 000000000000..46ab6093e34b --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/.coveragerc @@ -0,0 +1,13 @@ +[run] +branch = True + +[report] +show_missing = True +omit = + google/cloud/documentai/__init__.py + google/cloud/documentai/gapic_version.py +exclude_lines = + # Re-enable the standard pragma + pragma: NO COVER + # Ignore debug-only repr + def __repr__ diff --git a/owl-bot-staging/google-cloud-documentai/v1beta2/.flake8 b/owl-bot-staging/google-cloud-documentai/v1beta2/.flake8 new file mode 100644 index 000000000000..29227d4cf419 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/.flake8 @@ -0,0 +1,33 @@ +# -*- coding: utf-8 -*- +# +# Copyright 2020 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# https://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# Generated by synthtool. DO NOT EDIT! +[flake8] +ignore = E203, E266, E501, W503 +exclude = + # Exclude generated code. + **/proto/** + **/gapic/** + **/services/** + **/types/** + *_pb2.py + + # Standard linting exemptions. + **/.nox/** + __pycache__, + .git, + *.pyc, + conf.py diff --git a/owl-bot-staging/google-cloud-documentai/v1beta2/MANIFEST.in b/owl-bot-staging/google-cloud-documentai/v1beta2/MANIFEST.in new file mode 100644 index 000000000000..cd0fd7a84761 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/MANIFEST.in @@ -0,0 +1,2 @@ +recursive-include google/cloud/documentai *.py +recursive-include google/cloud/documentai_v1beta2 *.py diff --git a/owl-bot-staging/google-cloud-documentai/v1beta2/README.rst b/owl-bot-staging/google-cloud-documentai/v1beta2/README.rst new file mode 100644 index 000000000000..484a3c1c8fa7 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/README.rst @@ -0,0 +1,49 @@ +Python Client for Google Cloud Documentai API +================================================= + +Quick Start +----------- + +In order to use this library, you first need to go through the following steps: + +1. `Select or create a Cloud Platform project.`_ +2. `Enable billing for your project.`_ +3. Enable the Google Cloud Documentai API. +4. `Setup Authentication.`_ + +.. _Select or create a Cloud Platform project.: https://console.cloud.google.com/project +.. _Enable billing for your project.: https://cloud.google.com/billing/docs/how-to/modify-project#enable_billing_for_a_project +.. _Setup Authentication.: https://googleapis.dev/python/google-api-core/latest/auth.html + +Installation +~~~~~~~~~~~~ + +Install this library in a `virtualenv`_ using pip. `virtualenv`_ is a tool to +create isolated Python environments. The basic problem it addresses is one of +dependencies and versions, and indirectly permissions. + +With `virtualenv`_, it's possible to install this library without needing system +install permissions, and without clashing with the installed system +dependencies. + +.. _`virtualenv`: https://virtualenv.pypa.io/en/latest/ + + +Mac/Linux +^^^^^^^^^ + +.. code-block:: console + + python3 -m venv + source /bin/activate + /bin/pip install /path/to/library + + +Windows +^^^^^^^ + +.. code-block:: console + + python3 -m venv + \Scripts\activate + \Scripts\pip.exe install \path\to\library diff --git a/owl-bot-staging/google-cloud-documentai/v1beta2/docs/_static/custom.css b/owl-bot-staging/google-cloud-documentai/v1beta2/docs/_static/custom.css new file mode 100644 index 000000000000..06423be0b592 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/docs/_static/custom.css @@ -0,0 +1,3 @@ +dl.field-list > dt { + min-width: 100px +} diff --git a/owl-bot-staging/google-cloud-documentai/v1beta2/docs/conf.py b/owl-bot-staging/google-cloud-documentai/v1beta2/docs/conf.py new file mode 100644 index 000000000000..8d93c59cdbb8 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/docs/conf.py @@ -0,0 +1,376 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# +# google-cloud-documentai documentation build configuration file +# +# This file is execfile()d with the current directory set to its +# containing dir. +# +# Note that not all possible configuration values are present in this +# autogenerated file. +# +# All configuration values have a default; values that are commented out +# serve to show the default. + +import sys +import os +import shlex + +# If extensions (or modules to document with autodoc) are in another directory, +# add these directories to sys.path here. If the directory is relative to the +# documentation root, use os.path.abspath to make it absolute, like shown here. +sys.path.insert(0, os.path.abspath("..")) + +__version__ = "0.1.0" + +# -- General configuration ------------------------------------------------ + +# If your documentation needs a minimal Sphinx version, state it here. +needs_sphinx = "4.0.1" + +# Add any Sphinx extension module names here, as strings. They can be +# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom +# ones. +extensions = [ + "sphinx.ext.autodoc", + "sphinx.ext.autosummary", + "sphinx.ext.intersphinx", + "sphinx.ext.coverage", + "sphinx.ext.napoleon", + "sphinx.ext.todo", + "sphinx.ext.viewcode", +] + +# autodoc/autosummary flags +autoclass_content = "both" +autodoc_default_flags = ["members"] +autosummary_generate = True + + +# Add any paths that contain templates here, relative to this directory. +templates_path = ["_templates"] + +# Allow markdown includes (so releases.md can include CHANGLEOG.md) +# http://www.sphinx-doc.org/en/master/markdown.html +source_parsers = {".md": "recommonmark.parser.CommonMarkParser"} + +# The suffix(es) of source filenames. +# You can specify multiple suffix as a list of string: +source_suffix = [".rst", ".md"] + +# The encoding of source files. +# source_encoding = 'utf-8-sig' + +# The root toctree document. +root_doc = "index" + +# General information about the project. +project = u"google-cloud-documentai" +copyright = u"2023, Google, LLC" +author = u"Google APIs" # TODO: autogenerate this bit + +# The version info for the project you're documenting, acts as replacement for +# |version| and |release|, also used in various other places throughout the +# built documents. +# +# The full version, including alpha/beta/rc tags. +release = __version__ +# The short X.Y version. +version = ".".join(release.split(".")[0:2]) + +# The language for content autogenerated by Sphinx. Refer to documentation +# for a list of supported languages. +# +# This is also used if you do content translation via gettext catalogs. +# Usually you set "language" from the command line for these cases. +language = 'en' + +# There are two options for replacing |today|: either, you set today to some +# non-false value, then it is used: +# today = '' +# Else, today_fmt is used as the format for a strftime call. +# today_fmt = '%B %d, %Y' + +# List of patterns, relative to source directory, that match files and +# directories to ignore when looking for source files. +exclude_patterns = ["_build"] + +# The reST default role (used for this markup: `text`) to use for all +# documents. +# default_role = None + +# If true, '()' will be appended to :func: etc. cross-reference text. +# add_function_parentheses = True + +# If true, the current module name will be prepended to all description +# unit titles (such as .. function::). +# add_module_names = True + +# If true, sectionauthor and moduleauthor directives will be shown in the +# output. They are ignored by default. +# show_authors = False + +# The name of the Pygments (syntax highlighting) style to use. +pygments_style = "sphinx" + +# A list of ignored prefixes for module index sorting. +# modindex_common_prefix = [] + +# If true, keep warnings as "system message" paragraphs in the built documents. +# keep_warnings = False + +# If true, `todo` and `todoList` produce output, else they produce nothing. +todo_include_todos = True + + +# -- Options for HTML output ---------------------------------------------- + +# The theme to use for HTML and HTML Help pages. See the documentation for +# a list of builtin themes. +html_theme = "alabaster" + +# Theme options are theme-specific and customize the look and feel of a theme +# further. For a list of options available for each theme, see the +# documentation. +html_theme_options = { + "description": "Google Cloud Client Libraries for Python", + "github_user": "googleapis", + "github_repo": "google-cloud-python", + "github_banner": True, + "font_family": "'Roboto', Georgia, sans", + "head_font_family": "'Roboto', Georgia, serif", + "code_font_family": "'Roboto Mono', 'Consolas', monospace", +} + +# Add any paths that contain custom themes here, relative to this directory. +# html_theme_path = [] + +# The name for this set of Sphinx documents. If None, it defaults to +# " v documentation". +# html_title = None + +# A shorter title for the navigation bar. Default is the same as html_title. +# html_short_title = None + +# The name of an image file (relative to this directory) to place at the top +# of the sidebar. +# html_logo = None + +# The name of an image file (within the static path) to use as favicon of the +# docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 +# pixels large. +# html_favicon = None + +# Add any paths that contain custom static files (such as style sheets) here, +# relative to this directory. They are copied after the builtin static files, +# so a file named "default.css" will overwrite the builtin "default.css". +html_static_path = ["_static"] + +# Add any extra paths that contain custom files (such as robots.txt or +# .htaccess) here, relative to this directory. These files are copied +# directly to the root of the documentation. +# html_extra_path = [] + +# If not '', a 'Last updated on:' timestamp is inserted at every page bottom, +# using the given strftime format. +# html_last_updated_fmt = '%b %d, %Y' + +# If true, SmartyPants will be used to convert quotes and dashes to +# typographically correct entities. +# html_use_smartypants = True + +# Custom sidebar templates, maps document names to template names. +# html_sidebars = {} + +# Additional templates that should be rendered to pages, maps page names to +# template names. +# html_additional_pages = {} + +# If false, no module index is generated. +# html_domain_indices = True + +# If false, no index is generated. +# html_use_index = True + +# If true, the index is split into individual pages for each letter. +# html_split_index = False + +# If true, links to the reST sources are added to the pages. +# html_show_sourcelink = True + +# If true, "Created using Sphinx" is shown in the HTML footer. Default is True. +# html_show_sphinx = True + +# If true, "(C) Copyright ..." is shown in the HTML footer. Default is True. +# html_show_copyright = True + +# If true, an OpenSearch description file will be output, and all pages will +# contain a tag referring to it. The value of this option must be the +# base URL from which the finished HTML is served. +# html_use_opensearch = '' + +# This is the file name suffix for HTML files (e.g. ".xhtml"). +# html_file_suffix = None + +# Language to be used for generating the HTML full-text search index. +# Sphinx supports the following languages: +# 'da', 'de', 'en', 'es', 'fi', 'fr', 'hu', 'it', 'ja' +# 'nl', 'no', 'pt', 'ro', 'ru', 'sv', 'tr' +# html_search_language = 'en' + +# A dictionary with options for the search language support, empty by default. +# Now only 'ja' uses this config value +# html_search_options = {'type': 'default'} + +# The name of a javascript file (relative to the configuration directory) that +# implements a search results scorer. If empty, the default will be used. +# html_search_scorer = 'scorer.js' + +# Output file base name for HTML help builder. +htmlhelp_basename = "google-cloud-documentai-doc" + +# -- Options for warnings ------------------------------------------------------ + + +suppress_warnings = [ + # Temporarily suppress this to avoid "more than one target found for + # cross-reference" warning, which are intractable for us to avoid while in + # a mono-repo. + # See https://github.com/sphinx-doc/sphinx/blob + # /2a65ffeef5c107c19084fabdd706cdff3f52d93c/sphinx/domains/python.py#L843 + "ref.python" +] + +# -- Options for LaTeX output --------------------------------------------- + +latex_elements = { + # The paper size ('letterpaper' or 'a4paper'). + # 'papersize': 'letterpaper', + # The font size ('10pt', '11pt' or '12pt'). + # 'pointsize': '10pt', + # Additional stuff for the LaTeX preamble. + # 'preamble': '', + # Latex figure (float) alignment + # 'figure_align': 'htbp', +} + +# Grouping the document tree into LaTeX files. List of tuples +# (source start file, target name, title, +# author, documentclass [howto, manual, or own class]). +latex_documents = [ + ( + root_doc, + "google-cloud-documentai.tex", + u"google-cloud-documentai Documentation", + author, + "manual", + ) +] + +# The name of an image file (relative to this directory) to place at the top of +# the title page. +# latex_logo = None + +# For "manual" documents, if this is true, then toplevel headings are parts, +# not chapters. +# latex_use_parts = False + +# If true, show page references after internal links. +# latex_show_pagerefs = False + +# If true, show URL addresses after external links. +# latex_show_urls = False + +# Documents to append as an appendix to all manuals. +# latex_appendices = [] + +# If false, no module index is generated. +# latex_domain_indices = True + + +# -- Options for manual page output --------------------------------------- + +# One entry per manual page. List of tuples +# (source start file, name, description, authors, manual section). +man_pages = [ + ( + root_doc, + "google-cloud-documentai", + u"Google Cloud Documentai Documentation", + [author], + 1, + ) +] + +# If true, show URL addresses after external links. +# man_show_urls = False + + +# -- Options for Texinfo output ------------------------------------------- + +# Grouping the document tree into Texinfo files. List of tuples +# (source start file, target name, title, author, +# dir menu entry, description, category) +texinfo_documents = [ + ( + root_doc, + "google-cloud-documentai", + u"google-cloud-documentai Documentation", + author, + "google-cloud-documentai", + "GAPIC library for Google Cloud Documentai API", + "APIs", + ) +] + +# Documents to append as an appendix to all manuals. +# texinfo_appendices = [] + +# If false, no module index is generated. +# texinfo_domain_indices = True + +# How to display URL addresses: 'footnote', 'no', or 'inline'. +# texinfo_show_urls = 'footnote' + +# If true, do not generate a @detailmenu in the "Top" node's menu. +# texinfo_no_detailmenu = False + + +# Example configuration for intersphinx: refer to the Python standard library. +intersphinx_mapping = { + "python": ("http://python.readthedocs.org/en/latest/", None), + "gax": ("https://gax-python.readthedocs.org/en/latest/", None), + "google-auth": ("https://google-auth.readthedocs.io/en/stable", None), + "google-gax": ("https://gax-python.readthedocs.io/en/latest/", None), + "google.api_core": ("https://googleapis.dev/python/google-api-core/latest/", None), + "grpc": ("https://grpc.io/grpc/python/", None), + "requests": ("http://requests.kennethreitz.org/en/stable/", None), + "proto": ("https://proto-plus-python.readthedocs.io/en/stable", None), + "protobuf": ("https://googleapis.dev/python/protobuf/latest/", None), +} + + +# Napoleon settings +napoleon_google_docstring = True +napoleon_numpy_docstring = True +napoleon_include_private_with_doc = False +napoleon_include_special_with_doc = True +napoleon_use_admonition_for_examples = False +napoleon_use_admonition_for_notes = False +napoleon_use_admonition_for_references = False +napoleon_use_ivar = False +napoleon_use_param = True +napoleon_use_rtype = True diff --git a/owl-bot-staging/google-cloud-documentai/v1beta2/docs/documentai_v1beta2/document_understanding_service.rst b/owl-bot-staging/google-cloud-documentai/v1beta2/docs/documentai_v1beta2/document_understanding_service.rst new file mode 100644 index 000000000000..a0d0da7e3c88 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/docs/documentai_v1beta2/document_understanding_service.rst @@ -0,0 +1,6 @@ +DocumentUnderstandingService +---------------------------------------------- + +.. automodule:: google.cloud.documentai_v1beta2.services.document_understanding_service + :members: + :inherited-members: diff --git a/owl-bot-staging/google-cloud-documentai/v1beta2/docs/documentai_v1beta2/services_.rst b/owl-bot-staging/google-cloud-documentai/v1beta2/docs/documentai_v1beta2/services_.rst new file mode 100644 index 000000000000..13f4a238f1af --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/docs/documentai_v1beta2/services_.rst @@ -0,0 +1,6 @@ +Services for Google Cloud Documentai v1beta2 API +================================================ +.. toctree:: + :maxdepth: 2 + + document_understanding_service diff --git a/owl-bot-staging/google-cloud-documentai/v1beta2/docs/documentai_v1beta2/types_.rst b/owl-bot-staging/google-cloud-documentai/v1beta2/docs/documentai_v1beta2/types_.rst new file mode 100644 index 000000000000..35540dd05728 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/docs/documentai_v1beta2/types_.rst @@ -0,0 +1,6 @@ +Types for Google Cloud Documentai v1beta2 API +============================================= + +.. automodule:: google.cloud.documentai_v1beta2.types + :members: + :show-inheritance: diff --git a/owl-bot-staging/google-cloud-documentai/v1beta2/docs/index.rst b/owl-bot-staging/google-cloud-documentai/v1beta2/docs/index.rst new file mode 100644 index 000000000000..38d5fbb50123 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/docs/index.rst @@ -0,0 +1,7 @@ +API Reference +------------- +.. toctree:: + :maxdepth: 2 + + documentai_v1beta2/services + documentai_v1beta2/types diff --git a/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai/__init__.py b/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai/__init__.py new file mode 100644 index 000000000000..ca826cc1a737 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai/__init__.py @@ -0,0 +1,69 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from google.cloud.documentai import gapic_version as package_version + +__version__ = package_version.__version__ + + +from google.cloud.documentai_v1beta2.services.document_understanding_service.client import DocumentUnderstandingServiceClient +from google.cloud.documentai_v1beta2.services.document_understanding_service.async_client import DocumentUnderstandingServiceAsyncClient + +from google.cloud.documentai_v1beta2.types.barcode import Barcode +from google.cloud.documentai_v1beta2.types.document import Document +from google.cloud.documentai_v1beta2.types.document_understanding import AutoMlParams +from google.cloud.documentai_v1beta2.types.document_understanding import BatchProcessDocumentsRequest +from google.cloud.documentai_v1beta2.types.document_understanding import BatchProcessDocumentsResponse +from google.cloud.documentai_v1beta2.types.document_understanding import EntityExtractionParams +from google.cloud.documentai_v1beta2.types.document_understanding import FormExtractionParams +from google.cloud.documentai_v1beta2.types.document_understanding import GcsDestination +from google.cloud.documentai_v1beta2.types.document_understanding import GcsSource +from google.cloud.documentai_v1beta2.types.document_understanding import InputConfig +from google.cloud.documentai_v1beta2.types.document_understanding import KeyValuePairHint +from google.cloud.documentai_v1beta2.types.document_understanding import OcrParams +from google.cloud.documentai_v1beta2.types.document_understanding import OperationMetadata +from google.cloud.documentai_v1beta2.types.document_understanding import OutputConfig +from google.cloud.documentai_v1beta2.types.document_understanding import ProcessDocumentRequest +from google.cloud.documentai_v1beta2.types.document_understanding import ProcessDocumentResponse +from google.cloud.documentai_v1beta2.types.document_understanding import TableBoundHint +from google.cloud.documentai_v1beta2.types.document_understanding import TableExtractionParams +from google.cloud.documentai_v1beta2.types.geometry import BoundingPoly +from google.cloud.documentai_v1beta2.types.geometry import NormalizedVertex +from google.cloud.documentai_v1beta2.types.geometry import Vertex + +__all__ = ('DocumentUnderstandingServiceClient', + 'DocumentUnderstandingServiceAsyncClient', + 'Barcode', + 'Document', + 'AutoMlParams', + 'BatchProcessDocumentsRequest', + 'BatchProcessDocumentsResponse', + 'EntityExtractionParams', + 'FormExtractionParams', + 'GcsDestination', + 'GcsSource', + 'InputConfig', + 'KeyValuePairHint', + 'OcrParams', + 'OperationMetadata', + 'OutputConfig', + 'ProcessDocumentRequest', + 'ProcessDocumentResponse', + 'TableBoundHint', + 'TableExtractionParams', + 'BoundingPoly', + 'NormalizedVertex', + 'Vertex', +) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai/gapic_version.py b/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai/gapic_version.py new file mode 100644 index 000000000000..558c8aab67c5 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai/gapic_version.py @@ -0,0 +1,16 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +__version__ = "0.0.0" # {x-release-please-version} diff --git a/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai/py.typed b/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai/py.typed new file mode 100644 index 000000000000..81b450017987 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai/py.typed @@ -0,0 +1,2 @@ +# Marker file for PEP 561. +# The google-cloud-documentai package uses inline types. diff --git a/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/__init__.py b/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/__init__.py new file mode 100644 index 000000000000..27fb0f418c44 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/__init__.py @@ -0,0 +1,70 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from google.cloud.documentai_v1beta2 import gapic_version as package_version + +__version__ = package_version.__version__ + + +from .services.document_understanding_service import DocumentUnderstandingServiceClient +from .services.document_understanding_service import DocumentUnderstandingServiceAsyncClient + +from .types.barcode import Barcode +from .types.document import Document +from .types.document_understanding import AutoMlParams +from .types.document_understanding import BatchProcessDocumentsRequest +from .types.document_understanding import BatchProcessDocumentsResponse +from .types.document_understanding import EntityExtractionParams +from .types.document_understanding import FormExtractionParams +from .types.document_understanding import GcsDestination +from .types.document_understanding import GcsSource +from .types.document_understanding import InputConfig +from .types.document_understanding import KeyValuePairHint +from .types.document_understanding import OcrParams +from .types.document_understanding import OperationMetadata +from .types.document_understanding import OutputConfig +from .types.document_understanding import ProcessDocumentRequest +from .types.document_understanding import ProcessDocumentResponse +from .types.document_understanding import TableBoundHint +from .types.document_understanding import TableExtractionParams +from .types.geometry import BoundingPoly +from .types.geometry import NormalizedVertex +from .types.geometry import Vertex + +__all__ = ( + 'DocumentUnderstandingServiceAsyncClient', +'AutoMlParams', +'Barcode', +'BatchProcessDocumentsRequest', +'BatchProcessDocumentsResponse', +'BoundingPoly', +'Document', +'DocumentUnderstandingServiceClient', +'EntityExtractionParams', +'FormExtractionParams', +'GcsDestination', +'GcsSource', +'InputConfig', +'KeyValuePairHint', +'NormalizedVertex', +'OcrParams', +'OperationMetadata', +'OutputConfig', +'ProcessDocumentRequest', +'ProcessDocumentResponse', +'TableBoundHint', +'TableExtractionParams', +'Vertex', +) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/gapic_metadata.json b/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/gapic_metadata.json new file mode 100644 index 000000000000..633dcc19c472 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/gapic_metadata.json @@ -0,0 +1,43 @@ + { + "comment": "This file maps proto services/RPCs to the corresponding library clients/methods", + "language": "python", + "libraryPackage": "google.cloud.documentai_v1beta2", + "protoPackage": "google.cloud.documentai.v1beta2", + "schema": "1.0", + "services": { + "DocumentUnderstandingService": { + "clients": { + "grpc": { + "libraryClient": "DocumentUnderstandingServiceClient", + "rpcs": { + "BatchProcessDocuments": { + "methods": [ + "batch_process_documents" + ] + }, + "ProcessDocument": { + "methods": [ + "process_document" + ] + } + } + }, + "grpc-async": { + "libraryClient": "DocumentUnderstandingServiceAsyncClient", + "rpcs": { + "BatchProcessDocuments": { + "methods": [ + "batch_process_documents" + ] + }, + "ProcessDocument": { + "methods": [ + "process_document" + ] + } + } + } + } + } + } +} diff --git a/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/gapic_version.py b/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/gapic_version.py new file mode 100644 index 000000000000..558c8aab67c5 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/gapic_version.py @@ -0,0 +1,16 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +__version__ = "0.0.0" # {x-release-please-version} diff --git a/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/py.typed b/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/py.typed new file mode 100644 index 000000000000..81b450017987 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/py.typed @@ -0,0 +1,2 @@ +# Marker file for PEP 561. +# The google-cloud-documentai package uses inline types. diff --git a/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/services/__init__.py b/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/services/__init__.py new file mode 100644 index 000000000000..8f6cf068242c --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/services/__init__.py @@ -0,0 +1,15 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# diff --git a/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/services/document_understanding_service/__init__.py b/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/services/document_understanding_service/__init__.py new file mode 100644 index 000000000000..bb728d8be53c --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/services/document_understanding_service/__init__.py @@ -0,0 +1,22 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from .client import DocumentUnderstandingServiceClient +from .async_client import DocumentUnderstandingServiceAsyncClient + +__all__ = ( + 'DocumentUnderstandingServiceClient', + 'DocumentUnderstandingServiceAsyncClient', +) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/services/document_understanding_service/async_client.py b/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/services/document_understanding_service/async_client.py new file mode 100644 index 000000000000..51589e33af74 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/services/document_understanding_service/async_client.py @@ -0,0 +1,740 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +import functools +import re +from typing import Dict, Mapping, MutableMapping, MutableSequence, Optional, Sequence, Tuple, Type, Union + +from google.cloud.documentai_v1beta2 import gapic_version as package_version + +from google.api_core.client_options import ClientOptions +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry_async as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore + +try: + OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.AsyncRetry, object, None] # type: ignore + +from google.api_core import operation # type: ignore +from google.api_core import operation_async # type: ignore +from google.cloud.documentai_v1beta2.types import document +from google.cloud.documentai_v1beta2.types import document_understanding +from google.cloud.location import locations_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +from google.rpc import status_pb2 # type: ignore +from .transports.base import DocumentUnderstandingServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc_asyncio import DocumentUnderstandingServiceGrpcAsyncIOTransport +from .client import DocumentUnderstandingServiceClient + + +class DocumentUnderstandingServiceAsyncClient: + """Service to parse structured information from unstructured or + semi-structured documents using state-of-the-art Google AI such + as natural language, computer vision, and translation. + """ + + _client: DocumentUnderstandingServiceClient + + # Copy defaults from the synchronous client for use here. + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = DocumentUnderstandingServiceClient.DEFAULT_ENDPOINT + DEFAULT_MTLS_ENDPOINT = DocumentUnderstandingServiceClient.DEFAULT_MTLS_ENDPOINT + _DEFAULT_ENDPOINT_TEMPLATE = DocumentUnderstandingServiceClient._DEFAULT_ENDPOINT_TEMPLATE + _DEFAULT_UNIVERSE = DocumentUnderstandingServiceClient._DEFAULT_UNIVERSE + + common_billing_account_path = staticmethod(DocumentUnderstandingServiceClient.common_billing_account_path) + parse_common_billing_account_path = staticmethod(DocumentUnderstandingServiceClient.parse_common_billing_account_path) + common_folder_path = staticmethod(DocumentUnderstandingServiceClient.common_folder_path) + parse_common_folder_path = staticmethod(DocumentUnderstandingServiceClient.parse_common_folder_path) + common_organization_path = staticmethod(DocumentUnderstandingServiceClient.common_organization_path) + parse_common_organization_path = staticmethod(DocumentUnderstandingServiceClient.parse_common_organization_path) + common_project_path = staticmethod(DocumentUnderstandingServiceClient.common_project_path) + parse_common_project_path = staticmethod(DocumentUnderstandingServiceClient.parse_common_project_path) + common_location_path = staticmethod(DocumentUnderstandingServiceClient.common_location_path) + parse_common_location_path = staticmethod(DocumentUnderstandingServiceClient.parse_common_location_path) + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + DocumentUnderstandingServiceAsyncClient: The constructed client. + """ + return DocumentUnderstandingServiceClient.from_service_account_info.__func__(DocumentUnderstandingServiceAsyncClient, info, *args, **kwargs) # type: ignore + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + DocumentUnderstandingServiceAsyncClient: The constructed client. + """ + return DocumentUnderstandingServiceClient.from_service_account_file.__func__(DocumentUnderstandingServiceAsyncClient, filename, *args, **kwargs) # type: ignore + + from_service_account_json = from_service_account_file + + @classmethod + def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[ClientOptions] = None): + """Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + return DocumentUnderstandingServiceClient.get_mtls_endpoint_and_cert_source(client_options) # type: ignore + + @property + def transport(self) -> DocumentUnderstandingServiceTransport: + """Returns the transport used by the client instance. + + Returns: + DocumentUnderstandingServiceTransport: The transport used by the client instance. + """ + return self._client.transport + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._client._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used + by the client instance. + """ + return self._client._universe_domain + + get_transport_class = functools.partial(type(DocumentUnderstandingServiceClient).get_transport_class, type(DocumentUnderstandingServiceClient)) + + def __init__(self, *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Union[str, DocumentUnderstandingServiceTransport] = "grpc_asyncio", + client_options: Optional[ClientOptions] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the document understanding service async client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Union[str, ~.DocumentUnderstandingServiceTransport]): The + transport to use. If set to None, a transport is chosen + automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client = DocumentUnderstandingServiceClient( + credentials=credentials, + transport=transport, + client_options=client_options, + client_info=client_info, + + ) + + async def batch_process_documents(self, + request: Optional[Union[document_understanding.BatchProcessDocumentsRequest, dict]] = None, + *, + requests: Optional[MutableSequence[document_understanding.ProcessDocumentRequest]] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation_async.AsyncOperation: + r"""LRO endpoint to batch process many documents. The output is + written to Cloud Storage as JSON in the [Document] format. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta2 + + async def sample_batch_process_documents(): + # Create a client + client = documentai_v1beta2.DocumentUnderstandingServiceAsyncClient() + + # Initialize request argument(s) + requests = documentai_v1beta2.ProcessDocumentRequest() + requests.input_config.gcs_source.uri = "uri_value" + requests.input_config.mime_type = "mime_type_value" + + request = documentai_v1beta2.BatchProcessDocumentsRequest( + requests=requests, + ) + + # Make the request + operation = client.batch_process_documents(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1beta2.types.BatchProcessDocumentsRequest, dict]]): + The request object. Request to batch process documents as an asynchronous + operation. The output is written to Cloud Storage as + JSON in the [Document] format. + requests (:class:`MutableSequence[google.cloud.documentai_v1beta2.types.ProcessDocumentRequest]`): + Required. Individual requests for + each document. + + This corresponds to the ``requests`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.documentai_v1beta2.types.BatchProcessDocumentsResponse` Response to an batch document processing request. This is returned in + the LRO Operation after the operation is complete. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([requests]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = document_understanding.BatchProcessDocumentsRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if requests: + request.requests.extend(requests) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.batch_process_documents, + default_retry=retries.AsyncRetry( +initial=0.1,maximum=60.0,multiplier=1.3, predicate=retries.if_exception_type( + core_exceptions.DeadlineExceeded, + core_exceptions.ServiceUnavailable, + ), + deadline=120.0, + ), + default_timeout=120.0, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + document_understanding.BatchProcessDocumentsResponse, + metadata_type=document_understanding.OperationMetadata, + ) + + # Done; return the response. + return response + + async def process_document(self, + request: Optional[Union[document_understanding.ProcessDocumentRequest, dict]] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> document.Document: + r"""Processes a single document. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta2 + + async def sample_process_document(): + # Create a client + client = documentai_v1beta2.DocumentUnderstandingServiceAsyncClient() + + # Initialize request argument(s) + input_config = documentai_v1beta2.InputConfig() + input_config.gcs_source.uri = "uri_value" + input_config.mime_type = "mime_type_value" + + request = documentai_v1beta2.ProcessDocumentRequest( + input_config=input_config, + ) + + # Make the request + response = await client.process_document(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1beta2.types.ProcessDocumentRequest, dict]]): + The request object. Request to process one document. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1beta2.types.Document: + Document represents the canonical + document resource in Document AI. It is + an interchange format that provides + insights into documents and allows for + collaboration between users and Document + AI to iterate and optimize for quality. + + """ + # Create or coerce a protobuf request object. + request = document_understanding.ProcessDocumentRequest(request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.process_document, + default_retry=retries.AsyncRetry( +initial=0.1,maximum=60.0,multiplier=1.3, predicate=retries.if_exception_type( + core_exceptions.DeadlineExceeded, + core_exceptions.ServiceUnavailable, + ), + deadline=120.0, + ), + default_timeout=120.0, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.list_operations, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, retry=retry, timeout=timeout, metadata=metadata,) + + # Done; return the response. + return response + + async def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.get_operation, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, retry=retry, timeout=timeout, metadata=metadata,) + + # Done; return the response. + return response + + async def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.cancel_operation, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc(request, retry=retry, timeout=timeout, metadata=metadata,) + + async def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.get_location, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, retry=retry, timeout=timeout, metadata=metadata,) + + # Done; return the response. + return response + + async def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.list_locations, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, retry=retry, timeout=timeout, metadata=metadata,) + + # Done; return the response. + return response + + async def __aenter__(self) -> "DocumentUnderstandingServiceAsyncClient": + return self + + async def __aexit__(self, exc_type, exc, tb): + await self.transport.close() + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(gapic_version=package_version.__version__) + + +__all__ = ( + "DocumentUnderstandingServiceAsyncClient", +) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/services/document_understanding_service/client.py b/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/services/document_understanding_service/client.py new file mode 100644 index 000000000000..19992da85952 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/services/document_understanding_service/client.py @@ -0,0 +1,1063 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +import os +import re +from typing import Dict, Mapping, MutableMapping, MutableSequence, Optional, Sequence, Tuple, Type, Union, cast +import warnings + +from google.cloud.documentai_v1beta2 import gapic_version as package_version + +from google.api_core import client_options as client_options_lib +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport import mtls # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.auth.exceptions import MutualTLSChannelError # type: ignore +from google.oauth2 import service_account # type: ignore + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + +from google.api_core import operation # type: ignore +from google.api_core import operation_async # type: ignore +from google.cloud.documentai_v1beta2.types import document +from google.cloud.documentai_v1beta2.types import document_understanding +from google.cloud.location import locations_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +from google.rpc import status_pb2 # type: ignore +from .transports.base import DocumentUnderstandingServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc import DocumentUnderstandingServiceGrpcTransport +from .transports.grpc_asyncio import DocumentUnderstandingServiceGrpcAsyncIOTransport + + +class DocumentUnderstandingServiceClientMeta(type): + """Metaclass for the DocumentUnderstandingService client. + + This provides class-level methods for building and retrieving + support objects (e.g. transport) without polluting the client instance + objects. + """ + _transport_registry = OrderedDict() # type: Dict[str, Type[DocumentUnderstandingServiceTransport]] + _transport_registry["grpc"] = DocumentUnderstandingServiceGrpcTransport + _transport_registry["grpc_asyncio"] = DocumentUnderstandingServiceGrpcAsyncIOTransport + + def get_transport_class(cls, + label: Optional[str] = None, + ) -> Type[DocumentUnderstandingServiceTransport]: + """Returns an appropriate transport class. + + Args: + label: The name of the desired transport. If none is + provided, then the first transport in the registry is used. + + Returns: + The transport class to use. + """ + # If a specific transport is requested, return that one. + if label: + return cls._transport_registry[label] + + # No transport is requested; return the default (that is, the first one + # in the dictionary). + return next(iter(cls._transport_registry.values())) + + +class DocumentUnderstandingServiceClient(metaclass=DocumentUnderstandingServiceClientMeta): + """Service to parse structured information from unstructured or + semi-structured documents using state-of-the-art Google AI such + as natural language, computer vision, and translation. + """ + + @staticmethod + def _get_default_mtls_endpoint(api_endpoint): + """Converts api endpoint to mTLS endpoint. + + Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to + "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively. + Args: + api_endpoint (Optional[str]): the api endpoint to convert. + Returns: + str: converted mTLS api endpoint. + """ + if not api_endpoint: + return api_endpoint + + mtls_endpoint_re = re.compile( + r"(?P[^.]+)(?P\.mtls)?(?P\.sandbox)?(?P\.googleapis\.com)?" + ) + + m = mtls_endpoint_re.match(api_endpoint) + name, mtls, sandbox, googledomain = m.groups() + if mtls or not googledomain: + return api_endpoint + + if sandbox: + return api_endpoint.replace( + "sandbox.googleapis.com", "mtls.sandbox.googleapis.com" + ) + + return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com") + + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = "documentai.googleapis.com" + DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__( # type: ignore + DEFAULT_ENDPOINT + ) + + _DEFAULT_ENDPOINT_TEMPLATE = "documentai.{UNIVERSE_DOMAIN}" + _DEFAULT_UNIVERSE = "googleapis.com" + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + DocumentUnderstandingServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_info(info) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + DocumentUnderstandingServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_file( + filename) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + from_service_account_json = from_service_account_file + + @property + def transport(self) -> DocumentUnderstandingServiceTransport: + """Returns the transport used by the client instance. + + Returns: + DocumentUnderstandingServiceTransport: The transport used by the client + instance. + """ + return self._transport + + @staticmethod + def common_billing_account_path(billing_account: str, ) -> str: + """Returns a fully-qualified billing_account string.""" + return "billingAccounts/{billing_account}".format(billing_account=billing_account, ) + + @staticmethod + def parse_common_billing_account_path(path: str) -> Dict[str,str]: + """Parse a billing_account path into its component segments.""" + m = re.match(r"^billingAccounts/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_folder_path(folder: str, ) -> str: + """Returns a fully-qualified folder string.""" + return "folders/{folder}".format(folder=folder, ) + + @staticmethod + def parse_common_folder_path(path: str) -> Dict[str,str]: + """Parse a folder path into its component segments.""" + m = re.match(r"^folders/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_organization_path(organization: str, ) -> str: + """Returns a fully-qualified organization string.""" + return "organizations/{organization}".format(organization=organization, ) + + @staticmethod + def parse_common_organization_path(path: str) -> Dict[str,str]: + """Parse a organization path into its component segments.""" + m = re.match(r"^organizations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_project_path(project: str, ) -> str: + """Returns a fully-qualified project string.""" + return "projects/{project}".format(project=project, ) + + @staticmethod + def parse_common_project_path(path: str) -> Dict[str,str]: + """Parse a project path into its component segments.""" + m = re.match(r"^projects/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_location_path(project: str, location: str, ) -> str: + """Returns a fully-qualified location string.""" + return "projects/{project}/locations/{location}".format(project=project, location=location, ) + + @staticmethod + def parse_common_location_path(path: str) -> Dict[str,str]: + """Parse a location path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @classmethod + def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[client_options_lib.ClientOptions] = None): + """Deprecated. Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + + warnings.warn("get_mtls_endpoint_and_cert_source is deprecated. Use the api_endpoint property instead.", + DeprecationWarning) + if client_options is None: + client_options = client_options_lib.ClientOptions() + use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false") + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto") + if use_client_cert not in ("true", "false"): + raise ValueError("Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError("Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`") + + # Figure out the client cert source to use. + client_cert_source = None + if use_client_cert == "true": + if client_options.client_cert_source: + client_cert_source = client_options.client_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + + # Figure out which api endpoint to use. + if client_options.api_endpoint is not None: + api_endpoint = client_options.api_endpoint + elif use_mtls_endpoint == "always" or (use_mtls_endpoint == "auto" and client_cert_source): + api_endpoint = cls.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = cls.DEFAULT_ENDPOINT + + return api_endpoint, client_cert_source + + @staticmethod + def _read_environment_variables(): + """Returns the environment variables used by the client. + + Returns: + Tuple[bool, str, str]: returns the GOOGLE_API_USE_CLIENT_CERTIFICATE, + GOOGLE_API_USE_MTLS_ENDPOINT, and GOOGLE_CLOUD_UNIVERSE_DOMAIN environment variables. + + Raises: + ValueError: If GOOGLE_API_USE_CLIENT_CERTIFICATE is not + any of ["true", "false"]. + google.auth.exceptions.MutualTLSChannelError: If GOOGLE_API_USE_MTLS_ENDPOINT + is not any of ["auto", "never", "always"]. + """ + use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false").lower() + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto").lower() + universe_domain_env = os.getenv("GOOGLE_CLOUD_UNIVERSE_DOMAIN") + if use_client_cert not in ("true", "false"): + raise ValueError("Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError("Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`") + return use_client_cert == "true", use_mtls_endpoint, universe_domain_env + + @staticmethod + def _get_client_cert_source(provided_cert_source, use_cert_flag): + """Return the client cert source to be used by the client. + + Args: + provided_cert_source (bytes): The client certificate source provided. + use_cert_flag (bool): A flag indicating whether to use the client certificate. + + Returns: + bytes or None: The client cert source to be used by the client. + """ + client_cert_source = None + if use_cert_flag: + if provided_cert_source: + client_cert_source = provided_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + return client_cert_source + + @staticmethod + def _get_api_endpoint(api_override, client_cert_source, universe_domain, use_mtls_endpoint): + """Return the API endpoint used by the client. + + Args: + api_override (str): The API endpoint override. If specified, this is always + the return value of this function and the other arguments are not used. + client_cert_source (bytes): The client certificate source used by the client. + universe_domain (str): The universe domain used by the client. + use_mtls_endpoint (str): How to use the mTLS endpoint, which depends also on the other parameters. + Possible values are "always", "auto", or "never". + + Returns: + str: The API endpoint to be used by the client. + """ + if api_override is not None: + api_endpoint = api_override + elif use_mtls_endpoint == "always" or (use_mtls_endpoint == "auto" and client_cert_source): + _default_universe = DocumentUnderstandingServiceClient._DEFAULT_UNIVERSE + if universe_domain != _default_universe: + raise MutualTLSChannelError(f"mTLS is not supported in any universe other than {_default_universe}.") + api_endpoint = DocumentUnderstandingServiceClient.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = DocumentUnderstandingServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=universe_domain) + return api_endpoint + + @staticmethod + def _get_universe_domain(client_universe_domain: Optional[str], universe_domain_env: Optional[str]) -> str: + """Return the universe domain used by the client. + + Args: + client_universe_domain (Optional[str]): The universe domain configured via the client options. + universe_domain_env (Optional[str]): The universe domain configured via the "GOOGLE_CLOUD_UNIVERSE_DOMAIN" environment variable. + + Returns: + str: The universe domain to be used by the client. + + Raises: + ValueError: If the universe domain is an empty string. + """ + universe_domain = DocumentUnderstandingServiceClient._DEFAULT_UNIVERSE + if client_universe_domain is not None: + universe_domain = client_universe_domain + elif universe_domain_env is not None: + universe_domain = universe_domain_env + if len(universe_domain.strip()) == 0: + raise ValueError("Universe Domain cannot be an empty string.") + return universe_domain + + @staticmethod + def _compare_universes(client_universe: str, + credentials: ga_credentials.Credentials) -> bool: + """Returns True iff the universe domains used by the client and credentials match. + + Args: + client_universe (str): The universe domain configured via the client options. + credentials (ga_credentials.Credentials): The credentials being used in the client. + + Returns: + bool: True iff client_universe matches the universe in credentials. + + Raises: + ValueError: when client_universe does not match the universe in credentials. + """ + + default_universe = DocumentUnderstandingServiceClient._DEFAULT_UNIVERSE + credentials_universe = getattr(credentials, "universe_domain", default_universe) + + if client_universe != credentials_universe: + raise ValueError("The configured universe domain " + f"({client_universe}) does not match the universe domain " + f"found in the credentials ({credentials_universe}). " + "If you haven't configured the universe domain explicitly, " + f"`{default_universe}` is the default.") + return True + + def _validate_universe_domain(self): + """Validates client's and credentials' universe domains are consistent. + + Returns: + bool: True iff the configured universe domain is valid. + + Raises: + ValueError: If the configured universe domain is not valid. + """ + self._is_universe_domain_valid = (self._is_universe_domain_valid or + DocumentUnderstandingServiceClient._compare_universes(self.universe_domain, self.transport._credentials)) + return self._is_universe_domain_valid + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used by the client instance. + """ + return self._universe_domain + + def __init__(self, *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[Union[str, DocumentUnderstandingServiceTransport]] = None, + client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the document understanding service client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Union[str, DocumentUnderstandingServiceTransport]): The + transport to use. If set to None, a transport is chosen + automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that the ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client_options = client_options + if isinstance(self._client_options, dict): + self._client_options = client_options_lib.from_dict(self._client_options) + if self._client_options is None: + self._client_options = client_options_lib.ClientOptions() + self._client_options = cast(client_options_lib.ClientOptions, self._client_options) + + universe_domain_opt = getattr(self._client_options, 'universe_domain', None) + + self._use_client_cert, self._use_mtls_endpoint, self._universe_domain_env = DocumentUnderstandingServiceClient._read_environment_variables() + self._client_cert_source = DocumentUnderstandingServiceClient._get_client_cert_source(self._client_options.client_cert_source, self._use_client_cert) + self._universe_domain = DocumentUnderstandingServiceClient._get_universe_domain(universe_domain_opt, self._universe_domain_env) + self._api_endpoint = None # updated below, depending on `transport` + + # Initialize the universe domain validation. + self._is_universe_domain_valid = False + + api_key_value = getattr(self._client_options, "api_key", None) + if api_key_value and credentials: + raise ValueError("client_options.api_key and credentials are mutually exclusive") + + # Save or instantiate the transport. + # Ordinarily, we provide the transport, but allowing a custom transport + # instance provides an extensibility point for unusual situations. + transport_provided = isinstance(transport, DocumentUnderstandingServiceTransport) + if transport_provided: + # transport is a DocumentUnderstandingServiceTransport instance. + if credentials or self._client_options.credentials_file or api_key_value: + raise ValueError("When providing a transport instance, " + "provide its credentials directly.") + if self._client_options.scopes: + raise ValueError( + "When providing a transport instance, provide its scopes " + "directly." + ) + self._transport = cast(DocumentUnderstandingServiceTransport, transport) + self._api_endpoint = self._transport.host + + self._api_endpoint = (self._api_endpoint or + DocumentUnderstandingServiceClient._get_api_endpoint( + self._client_options.api_endpoint, + self._client_cert_source, + self._universe_domain, + self._use_mtls_endpoint)) + + if not transport_provided: + import google.auth._default # type: ignore + + if api_key_value and hasattr(google.auth._default, "get_api_key_credentials"): + credentials = google.auth._default.get_api_key_credentials(api_key_value) + + Transport = type(self).get_transport_class(cast(str, transport)) + self._transport = Transport( + credentials=credentials, + credentials_file=self._client_options.credentials_file, + host=self._api_endpoint, + scopes=self._client_options.scopes, + client_cert_source_for_mtls=self._client_cert_source, + quota_project_id=self._client_options.quota_project_id, + client_info=client_info, + always_use_jwt_access=True, + api_audience=self._client_options.api_audience, + ) + + def batch_process_documents(self, + request: Optional[Union[document_understanding.BatchProcessDocumentsRequest, dict]] = None, + *, + requests: Optional[MutableSequence[document_understanding.ProcessDocumentRequest]] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation.Operation: + r"""LRO endpoint to batch process many documents. The output is + written to Cloud Storage as JSON in the [Document] format. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta2 + + def sample_batch_process_documents(): + # Create a client + client = documentai_v1beta2.DocumentUnderstandingServiceClient() + + # Initialize request argument(s) + requests = documentai_v1beta2.ProcessDocumentRequest() + requests.input_config.gcs_source.uri = "uri_value" + requests.input_config.mime_type = "mime_type_value" + + request = documentai_v1beta2.BatchProcessDocumentsRequest( + requests=requests, + ) + + # Make the request + operation = client.batch_process_documents(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.documentai_v1beta2.types.BatchProcessDocumentsRequest, dict]): + The request object. Request to batch process documents as an asynchronous + operation. The output is written to Cloud Storage as + JSON in the [Document] format. + requests (MutableSequence[google.cloud.documentai_v1beta2.types.ProcessDocumentRequest]): + Required. Individual requests for + each document. + + This corresponds to the ``requests`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.documentai_v1beta2.types.BatchProcessDocumentsResponse` Response to an batch document processing request. This is returned in + the LRO Operation after the operation is complete. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([requests]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a document_understanding.BatchProcessDocumentsRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_understanding.BatchProcessDocumentsRequest): + request = document_understanding.BatchProcessDocumentsRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if requests is not None: + request.requests = requests + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.batch_process_documents] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + document_understanding.BatchProcessDocumentsResponse, + metadata_type=document_understanding.OperationMetadata, + ) + + # Done; return the response. + return response + + def process_document(self, + request: Optional[Union[document_understanding.ProcessDocumentRequest, dict]] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> document.Document: + r"""Processes a single document. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta2 + + def sample_process_document(): + # Create a client + client = documentai_v1beta2.DocumentUnderstandingServiceClient() + + # Initialize request argument(s) + input_config = documentai_v1beta2.InputConfig() + input_config.gcs_source.uri = "uri_value" + input_config.mime_type = "mime_type_value" + + request = documentai_v1beta2.ProcessDocumentRequest( + input_config=input_config, + ) + + # Make the request + response = client.process_document(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.documentai_v1beta2.types.ProcessDocumentRequest, dict]): + The request object. Request to process one document. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1beta2.types.Document: + Document represents the canonical + document resource in Document AI. It is + an interchange format that provides + insights into documents and allows for + collaboration between users and Document + AI to iterate and optimize for quality. + + """ + # Create or coerce a protobuf request object. + # Minor optimization to avoid making a copy if the user passes + # in a document_understanding.ProcessDocumentRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_understanding.ProcessDocumentRequest): + request = document_understanding.ProcessDocumentRequest(request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.process_document] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def __enter__(self) -> "DocumentUnderstandingServiceClient": + return self + + def __exit__(self, type, value, traceback): + """Releases underlying transport's resources. + + .. warning:: + ONLY use as a context manager if the transport is NOT shared + with other clients! Exiting the with block will CLOSE the transport + and may cause errors in other clients! + """ + self.transport.close() + + def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method.wrap_method( + self._transport.list_operations, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, retry=retry, timeout=timeout, metadata=metadata,) + + # Done; return the response. + return response + + def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method.wrap_method( + self._transport.get_operation, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, retry=retry, timeout=timeout, metadata=metadata,) + + # Done; return the response. + return response + + def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method.wrap_method( + self._transport.cancel_operation, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc(request, retry=retry, timeout=timeout, metadata=metadata,) + + def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method.wrap_method( + self._transport.get_location, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, retry=retry, timeout=timeout, metadata=metadata,) + + # Done; return the response. + return response + + def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method.wrap_method( + self._transport.list_locations, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, retry=retry, timeout=timeout, metadata=metadata,) + + # Done; return the response. + return response + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(gapic_version=package_version.__version__) + + +__all__ = ( + "DocumentUnderstandingServiceClient", +) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/services/document_understanding_service/transports/__init__.py b/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/services/document_understanding_service/transports/__init__.py new file mode 100644 index 000000000000..4623f79d08fe --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/services/document_understanding_service/transports/__init__.py @@ -0,0 +1,33 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +from typing import Dict, Type + +from .base import DocumentUnderstandingServiceTransport +from .grpc import DocumentUnderstandingServiceGrpcTransport +from .grpc_asyncio import DocumentUnderstandingServiceGrpcAsyncIOTransport + + +# Compile a registry of transports. +_transport_registry = OrderedDict() # type: Dict[str, Type[DocumentUnderstandingServiceTransport]] +_transport_registry['grpc'] = DocumentUnderstandingServiceGrpcTransport +_transport_registry['grpc_asyncio'] = DocumentUnderstandingServiceGrpcAsyncIOTransport + +__all__ = ( + 'DocumentUnderstandingServiceTransport', + 'DocumentUnderstandingServiceGrpcTransport', + 'DocumentUnderstandingServiceGrpcAsyncIOTransport', +) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/services/document_understanding_service/transports/base.py b/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/services/document_understanding_service/transports/base.py new file mode 100644 index 000000000000..00665a7a5587 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/services/document_understanding_service/transports/base.py @@ -0,0 +1,232 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import abc +from typing import Awaitable, Callable, Dict, Optional, Sequence, Union + +from google.cloud.documentai_v1beta2 import gapic_version as package_version + +import google.auth # type: ignore +import google.api_core +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.api_core import operations_v1 +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore + +from google.cloud.documentai_v1beta2.types import document +from google.cloud.documentai_v1beta2.types import document_understanding +from google.cloud.location import locations_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(gapic_version=package_version.__version__) + + +class DocumentUnderstandingServiceTransport(abc.ABC): + """Abstract transport class for DocumentUnderstandingService.""" + + AUTH_SCOPES = ( + 'https://www.googleapis.com/auth/cloud-platform', + ) + + DEFAULT_HOST: str = 'documentai.googleapis.com' + def __init__( + self, *, + host: str = DEFAULT_HOST, + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + **kwargs, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'documentai.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + credentials_file (Optional[str]): A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is mutually exclusive with credentials. + scopes (Optional[Sequence[str]]): A list of scopes. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + """ + + scopes_kwargs = {"scopes": scopes, "default_scopes": self.AUTH_SCOPES} + + # Save the scopes. + self._scopes = scopes + + # If no credentials are provided, then determine the appropriate + # defaults. + if credentials and credentials_file: + raise core_exceptions.DuplicateCredentialArgs("'credentials_file' and 'credentials' are mutually exclusive") + + if credentials_file is not None: + credentials, _ = google.auth.load_credentials_from_file( + credentials_file, + **scopes_kwargs, + quota_project_id=quota_project_id + ) + elif credentials is None: + credentials, _ = google.auth.default(**scopes_kwargs, quota_project_id=quota_project_id) + # Don't apply audience if the credentials file passed from user. + if hasattr(credentials, "with_gdch_audience"): + credentials = credentials.with_gdch_audience(api_audience if api_audience else host) + + # If the credentials are service account credentials, then always try to use self signed JWT. + if always_use_jwt_access and isinstance(credentials, service_account.Credentials) and hasattr(service_account.Credentials, "with_always_use_jwt_access"): + credentials = credentials.with_always_use_jwt_access(True) + + # Save the credentials. + self._credentials = credentials + + # Save the hostname. Default to port 443 (HTTPS) if none is specified. + if ':' not in host: + host += ':443' + self._host = host + + @property + def host(self): + return self._host + + def _prep_wrapped_messages(self, client_info): + # Precompute the wrapped methods. + self._wrapped_methods = { + self.batch_process_documents: gapic_v1.method.wrap_method( + self.batch_process_documents, + default_retry=retries.Retry( +initial=0.1,maximum=60.0,multiplier=1.3, predicate=retries.if_exception_type( + core_exceptions.DeadlineExceeded, + core_exceptions.ServiceUnavailable, + ), + deadline=120.0, + ), + default_timeout=120.0, + client_info=client_info, + ), + self.process_document: gapic_v1.method.wrap_method( + self.process_document, + default_retry=retries.Retry( +initial=0.1,maximum=60.0,multiplier=1.3, predicate=retries.if_exception_type( + core_exceptions.DeadlineExceeded, + core_exceptions.ServiceUnavailable, + ), + deadline=120.0, + ), + default_timeout=120.0, + client_info=client_info, + ), + } + + def close(self): + """Closes resources associated with the transport. + + .. warning:: + Only call this method if the transport is NOT shared + with other clients - this may cause errors in other clients! + """ + raise NotImplementedError() + + @property + def operations_client(self): + """Return the client designed to process long-running operations.""" + raise NotImplementedError() + + @property + def batch_process_documents(self) -> Callable[ + [document_understanding.BatchProcessDocumentsRequest], + Union[ + operations_pb2.Operation, + Awaitable[operations_pb2.Operation] + ]]: + raise NotImplementedError() + + @property + def process_document(self) -> Callable[ + [document_understanding.ProcessDocumentRequest], + Union[ + document.Document, + Awaitable[document.Document] + ]]: + raise NotImplementedError() + + @property + def list_operations( + self, + ) -> Callable[ + [operations_pb2.ListOperationsRequest], + Union[operations_pb2.ListOperationsResponse, Awaitable[operations_pb2.ListOperationsResponse]], + ]: + raise NotImplementedError() + + @property + def get_operation( + self, + ) -> Callable[ + [operations_pb2.GetOperationRequest], + Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]], + ]: + raise NotImplementedError() + + @property + def cancel_operation( + self, + ) -> Callable[ + [operations_pb2.CancelOperationRequest], + None, + ]: + raise NotImplementedError() + + @property + def get_location(self, + ) -> Callable[ + [locations_pb2.GetLocationRequest], + Union[locations_pb2.Location, Awaitable[locations_pb2.Location]], + ]: + raise NotImplementedError() + + @property + def list_locations(self, + ) -> Callable[ + [locations_pb2.ListLocationsRequest], + Union[locations_pb2.ListLocationsResponse, Awaitable[locations_pb2.ListLocationsResponse]], + ]: + raise NotImplementedError() + + @property + def kind(self) -> str: + raise NotImplementedError() + + +__all__ = ( + 'DocumentUnderstandingServiceTransport', +) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/services/document_understanding_service/transports/grpc.py b/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/services/document_understanding_service/transports/grpc.py new file mode 100644 index 000000000000..54d7b8622bef --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/services/document_understanding_service/transports/grpc.py @@ -0,0 +1,404 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import warnings +from typing import Callable, Dict, Optional, Sequence, Tuple, Union + +from google.api_core import grpc_helpers +from google.api_core import operations_v1 +from google.api_core import gapic_v1 +import google.auth # type: ignore +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore + +import grpc # type: ignore + +from google.cloud.documentai_v1beta2.types import document +from google.cloud.documentai_v1beta2.types import document_understanding +from google.cloud.location import locations_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +from .base import DocumentUnderstandingServiceTransport, DEFAULT_CLIENT_INFO + + +class DocumentUnderstandingServiceGrpcTransport(DocumentUnderstandingServiceTransport): + """gRPC backend transport for DocumentUnderstandingService. + + Service to parse structured information from unstructured or + semi-structured documents using state-of-the-art Google AI such + as natural language, computer vision, and translation. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends protocol buffers over the wire using gRPC (which is built on + top of HTTP/2); the ``grpcio`` package must be installed. + """ + _stubs: Dict[str, Callable] + + def __init__(self, *, + host: str = 'documentai.googleapis.com', + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + channel: Optional[grpc.Channel] = None, + api_mtls_endpoint: Optional[str] = None, + client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None, + client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'documentai.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + This argument is ignored if ``channel`` is provided. + credentials_file (Optional[str]): A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if ``channel`` is provided. + scopes (Optional(Sequence[str])): A list of scopes. This argument is + ignored if ``channel`` is provided. + channel (Optional[grpc.Channel]): A ``Channel`` instance through + which to make calls. + api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint. + If provided, it overrides the ``host`` argument and tries to create + a mutual TLS channel with client SSL credentials from + ``client_cert_source`` or application default SSL credentials. + client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]): + Deprecated. A callback to provide client SSL certificate bytes and + private key bytes, both in PEM format. It is ignored if + ``api_mtls_endpoint`` is None. + ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials + for the grpc channel. It is ignored if ``channel`` is provided. + client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]): + A callback to provide client certificate bytes and private key bytes, + both in PEM format. It is used to configure a mutual TLS channel. It is + ignored if ``channel`` or ``ssl_channel_credentials`` is provided. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport + creation failed for any reason. + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + self._grpc_channel = None + self._ssl_channel_credentials = ssl_channel_credentials + self._stubs: Dict[str, Callable] = {} + self._operations_client: Optional[operations_v1.OperationsClient] = None + + if api_mtls_endpoint: + warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning) + if client_cert_source: + warnings.warn("client_cert_source is deprecated", DeprecationWarning) + + if channel: + # Ignore credentials if a channel was passed. + credentials = False + # If a channel was explicitly provided, set it. + self._grpc_channel = channel + self._ssl_channel_credentials = None + + else: + if api_mtls_endpoint: + host = api_mtls_endpoint + + # Create SSL credentials with client_cert_source or application + # default SSL credentials. + if client_cert_source: + cert, key = client_cert_source() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + else: + self._ssl_channel_credentials = SslCredentials().ssl_credentials + + else: + if client_cert_source_for_mtls and not ssl_channel_credentials: + cert, key = client_cert_source_for_mtls() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + + # The base transport sets the host, credentials and scopes + super().__init__( + host=host, + credentials=credentials, + credentials_file=credentials_file, + scopes=scopes, + quota_project_id=quota_project_id, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience, + ) + + if not self._grpc_channel: + self._grpc_channel = type(self).create_channel( + self._host, + # use the credentials which are saved + credentials=self._credentials, + # Set ``credentials_file`` to ``None`` here as + # the credentials that we saved earlier should be used. + credentials_file=None, + scopes=self._scopes, + ssl_credentials=self._ssl_channel_credentials, + quota_project_id=quota_project_id, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + # Wrap messages. This must be done after self._grpc_channel exists + self._prep_wrapped_messages(client_info) + + @classmethod + def create_channel(cls, + host: str = 'documentai.googleapis.com', + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + **kwargs) -> grpc.Channel: + """Create and return a gRPC channel object. + Args: + host (Optional[str]): The host for the channel to use. + credentials (Optional[~.Credentials]): The + authorization credentials to attach to requests. These + credentials identify this application to the service. If + none are specified, the client will attempt to ascertain + the credentials from the environment. + credentials_file (Optional[str]): A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is mutually exclusive with credentials. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + kwargs (Optional[dict]): Keyword arguments, which are passed to the + channel creation. + Returns: + grpc.Channel: A gRPC channel object. + + Raises: + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + + return grpc_helpers.create_channel( + host, + credentials=credentials, + credentials_file=credentials_file, + quota_project_id=quota_project_id, + default_scopes=cls.AUTH_SCOPES, + scopes=scopes, + default_host=cls.DEFAULT_HOST, + **kwargs + ) + + @property + def grpc_channel(self) -> grpc.Channel: + """Return the channel designed to connect to this service. + """ + return self._grpc_channel + + @property + def operations_client(self) -> operations_v1.OperationsClient: + """Create the client designed to process long-running operations. + + This property caches on the instance; repeated calls return the same + client. + """ + # Quick check: Only create a new client if we do not already have one. + if self._operations_client is None: + self._operations_client = operations_v1.OperationsClient( + self.grpc_channel + ) + + # Return the client from cache. + return self._operations_client + + @property + def batch_process_documents(self) -> Callable[ + [document_understanding.BatchProcessDocumentsRequest], + operations_pb2.Operation]: + r"""Return a callable for the batch process documents method over gRPC. + + LRO endpoint to batch process many documents. The output is + written to Cloud Storage as JSON in the [Document] format. + + Returns: + Callable[[~.BatchProcessDocumentsRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'batch_process_documents' not in self._stubs: + self._stubs['batch_process_documents'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta2.DocumentUnderstandingService/BatchProcessDocuments', + request_serializer=document_understanding.BatchProcessDocumentsRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['batch_process_documents'] + + @property + def process_document(self) -> Callable[ + [document_understanding.ProcessDocumentRequest], + document.Document]: + r"""Return a callable for the process document method over gRPC. + + Processes a single document. + + Returns: + Callable[[~.ProcessDocumentRequest], + ~.Document]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'process_document' not in self._stubs: + self._stubs['process_document'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta2.DocumentUnderstandingService/ProcessDocument', + request_serializer=document_understanding.ProcessDocumentRequest.serialize, + response_deserializer=document.Document.deserialize, + ) + return self._stubs['process_document'] + + def close(self): + self.grpc_channel.close() + + @property + def cancel_operation( + self, + ) -> Callable[[operations_pb2.CancelOperationRequest], None]: + r"""Return a callable for the cancel_operation method over gRPC. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "cancel_operation" not in self._stubs: + self._stubs["cancel_operation"] = self.grpc_channel.unary_unary( + "/google.longrunning.Operations/CancelOperation", + request_serializer=operations_pb2.CancelOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["cancel_operation"] + + @property + def get_operation( + self, + ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]: + r"""Return a callable for the get_operation method over gRPC. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_operation" not in self._stubs: + self._stubs["get_operation"] = self.grpc_channel.unary_unary( + "/google.longrunning.Operations/GetOperation", + request_serializer=operations_pb2.GetOperationRequest.SerializeToString, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["get_operation"] + + @property + def list_operations( + self, + ) -> Callable[[operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse]: + r"""Return a callable for the list_operations method over gRPC. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_operations" not in self._stubs: + self._stubs["list_operations"] = self.grpc_channel.unary_unary( + "/google.longrunning.Operations/ListOperations", + request_serializer=operations_pb2.ListOperationsRequest.SerializeToString, + response_deserializer=operations_pb2.ListOperationsResponse.FromString, + ) + return self._stubs["list_operations"] + + @property + def list_locations( + self, + ) -> Callable[[locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse]: + r"""Return a callable for the list locations method over gRPC. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_locations" not in self._stubs: + self._stubs["list_locations"] = self.grpc_channel.unary_unary( + "/google.cloud.location.Locations/ListLocations", + request_serializer=locations_pb2.ListLocationsRequest.SerializeToString, + response_deserializer=locations_pb2.ListLocationsResponse.FromString, + ) + return self._stubs["list_locations"] + + @property + def get_location( + self, + ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]: + r"""Return a callable for the list locations method over gRPC. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_location" not in self._stubs: + self._stubs["get_location"] = self.grpc_channel.unary_unary( + "/google.cloud.location.Locations/GetLocation", + request_serializer=locations_pb2.GetLocationRequest.SerializeToString, + response_deserializer=locations_pb2.Location.FromString, + ) + return self._stubs["get_location"] + + @property + def kind(self) -> str: + return "grpc" + + +__all__ = ( + 'DocumentUnderstandingServiceGrpcTransport', +) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/services/document_understanding_service/transports/grpc_asyncio.py b/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/services/document_understanding_service/transports/grpc_asyncio.py new file mode 100644 index 000000000000..08c05284bd65 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/services/document_understanding_service/transports/grpc_asyncio.py @@ -0,0 +1,403 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import warnings +from typing import Awaitable, Callable, Dict, Optional, Sequence, Tuple, Union + +from google.api_core import gapic_v1 +from google.api_core import grpc_helpers_async +from google.api_core import operations_v1 +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore + +import grpc # type: ignore +from grpc.experimental import aio # type: ignore + +from google.cloud.documentai_v1beta2.types import document +from google.cloud.documentai_v1beta2.types import document_understanding +from google.cloud.location import locations_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +from .base import DocumentUnderstandingServiceTransport, DEFAULT_CLIENT_INFO +from .grpc import DocumentUnderstandingServiceGrpcTransport + + +class DocumentUnderstandingServiceGrpcAsyncIOTransport(DocumentUnderstandingServiceTransport): + """gRPC AsyncIO backend transport for DocumentUnderstandingService. + + Service to parse structured information from unstructured or + semi-structured documents using state-of-the-art Google AI such + as natural language, computer vision, and translation. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends protocol buffers over the wire using gRPC (which is built on + top of HTTP/2); the ``grpcio`` package must be installed. + """ + + _grpc_channel: aio.Channel + _stubs: Dict[str, Callable] = {} + + @classmethod + def create_channel(cls, + host: str = 'documentai.googleapis.com', + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + **kwargs) -> aio.Channel: + """Create and return a gRPC AsyncIO channel object. + Args: + host (Optional[str]): The host for the channel to use. + credentials (Optional[~.Credentials]): The + authorization credentials to attach to requests. These + credentials identify this application to the service. If + none are specified, the client will attempt to ascertain + the credentials from the environment. + credentials_file (Optional[str]): A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if ``channel`` is provided. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + kwargs (Optional[dict]): Keyword arguments, which are passed to the + channel creation. + Returns: + aio.Channel: A gRPC AsyncIO channel object. + """ + + return grpc_helpers_async.create_channel( + host, + credentials=credentials, + credentials_file=credentials_file, + quota_project_id=quota_project_id, + default_scopes=cls.AUTH_SCOPES, + scopes=scopes, + default_host=cls.DEFAULT_HOST, + **kwargs + ) + + def __init__(self, *, + host: str = 'documentai.googleapis.com', + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + channel: Optional[aio.Channel] = None, + api_mtls_endpoint: Optional[str] = None, + client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None, + client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'documentai.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + This argument is ignored if ``channel`` is provided. + credentials_file (Optional[str]): A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if ``channel`` is provided. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + channel (Optional[aio.Channel]): A ``Channel`` instance through + which to make calls. + api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint. + If provided, it overrides the ``host`` argument and tries to create + a mutual TLS channel with client SSL credentials from + ``client_cert_source`` or application default SSL credentials. + client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]): + Deprecated. A callback to provide client SSL certificate bytes and + private key bytes, both in PEM format. It is ignored if + ``api_mtls_endpoint`` is None. + ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials + for the grpc channel. It is ignored if ``channel`` is provided. + client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]): + A callback to provide client certificate bytes and private key bytes, + both in PEM format. It is used to configure a mutual TLS channel. It is + ignored if ``channel`` or ``ssl_channel_credentials`` is provided. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + self._grpc_channel = None + self._ssl_channel_credentials = ssl_channel_credentials + self._stubs: Dict[str, Callable] = {} + self._operations_client: Optional[operations_v1.OperationsAsyncClient] = None + + if api_mtls_endpoint: + warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning) + if client_cert_source: + warnings.warn("client_cert_source is deprecated", DeprecationWarning) + + if channel: + # Ignore credentials if a channel was passed. + credentials = False + # If a channel was explicitly provided, set it. + self._grpc_channel = channel + self._ssl_channel_credentials = None + else: + if api_mtls_endpoint: + host = api_mtls_endpoint + + # Create SSL credentials with client_cert_source or application + # default SSL credentials. + if client_cert_source: + cert, key = client_cert_source() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + else: + self._ssl_channel_credentials = SslCredentials().ssl_credentials + + else: + if client_cert_source_for_mtls and not ssl_channel_credentials: + cert, key = client_cert_source_for_mtls() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + + # The base transport sets the host, credentials and scopes + super().__init__( + host=host, + credentials=credentials, + credentials_file=credentials_file, + scopes=scopes, + quota_project_id=quota_project_id, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience, + ) + + if not self._grpc_channel: + self._grpc_channel = type(self).create_channel( + self._host, + # use the credentials which are saved + credentials=self._credentials, + # Set ``credentials_file`` to ``None`` here as + # the credentials that we saved earlier should be used. + credentials_file=None, + scopes=self._scopes, + ssl_credentials=self._ssl_channel_credentials, + quota_project_id=quota_project_id, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + # Wrap messages. This must be done after self._grpc_channel exists + self._prep_wrapped_messages(client_info) + + @property + def grpc_channel(self) -> aio.Channel: + """Create the channel designed to connect to this service. + + This property caches on the instance; repeated calls return + the same channel. + """ + # Return the channel from cache. + return self._grpc_channel + + @property + def operations_client(self) -> operations_v1.OperationsAsyncClient: + """Create the client designed to process long-running operations. + + This property caches on the instance; repeated calls return the same + client. + """ + # Quick check: Only create a new client if we do not already have one. + if self._operations_client is None: + self._operations_client = operations_v1.OperationsAsyncClient( + self.grpc_channel + ) + + # Return the client from cache. + return self._operations_client + + @property + def batch_process_documents(self) -> Callable[ + [document_understanding.BatchProcessDocumentsRequest], + Awaitable[operations_pb2.Operation]]: + r"""Return a callable for the batch process documents method over gRPC. + + LRO endpoint to batch process many documents. The output is + written to Cloud Storage as JSON in the [Document] format. + + Returns: + Callable[[~.BatchProcessDocumentsRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'batch_process_documents' not in self._stubs: + self._stubs['batch_process_documents'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta2.DocumentUnderstandingService/BatchProcessDocuments', + request_serializer=document_understanding.BatchProcessDocumentsRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['batch_process_documents'] + + @property + def process_document(self) -> Callable[ + [document_understanding.ProcessDocumentRequest], + Awaitable[document.Document]]: + r"""Return a callable for the process document method over gRPC. + + Processes a single document. + + Returns: + Callable[[~.ProcessDocumentRequest], + Awaitable[~.Document]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'process_document' not in self._stubs: + self._stubs['process_document'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta2.DocumentUnderstandingService/ProcessDocument', + request_serializer=document_understanding.ProcessDocumentRequest.serialize, + response_deserializer=document.Document.deserialize, + ) + return self._stubs['process_document'] + + def close(self): + return self.grpc_channel.close() + + @property + def cancel_operation( + self, + ) -> Callable[[operations_pb2.CancelOperationRequest], None]: + r"""Return a callable for the cancel_operation method over gRPC. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "cancel_operation" not in self._stubs: + self._stubs["cancel_operation"] = self.grpc_channel.unary_unary( + "/google.longrunning.Operations/CancelOperation", + request_serializer=operations_pb2.CancelOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["cancel_operation"] + + @property + def get_operation( + self, + ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]: + r"""Return a callable for the get_operation method over gRPC. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_operation" not in self._stubs: + self._stubs["get_operation"] = self.grpc_channel.unary_unary( + "/google.longrunning.Operations/GetOperation", + request_serializer=operations_pb2.GetOperationRequest.SerializeToString, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["get_operation"] + + @property + def list_operations( + self, + ) -> Callable[[operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse]: + r"""Return a callable for the list_operations method over gRPC. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_operations" not in self._stubs: + self._stubs["list_operations"] = self.grpc_channel.unary_unary( + "/google.longrunning.Operations/ListOperations", + request_serializer=operations_pb2.ListOperationsRequest.SerializeToString, + response_deserializer=operations_pb2.ListOperationsResponse.FromString, + ) + return self._stubs["list_operations"] + + @property + def list_locations( + self, + ) -> Callable[[locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse]: + r"""Return a callable for the list locations method over gRPC. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_locations" not in self._stubs: + self._stubs["list_locations"] = self.grpc_channel.unary_unary( + "/google.cloud.location.Locations/ListLocations", + request_serializer=locations_pb2.ListLocationsRequest.SerializeToString, + response_deserializer=locations_pb2.ListLocationsResponse.FromString, + ) + return self._stubs["list_locations"] + + @property + def get_location( + self, + ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]: + r"""Return a callable for the list locations method over gRPC. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_location" not in self._stubs: + self._stubs["get_location"] = self.grpc_channel.unary_unary( + "/google.cloud.location.Locations/GetLocation", + request_serializer=locations_pb2.GetLocationRequest.SerializeToString, + response_deserializer=locations_pb2.Location.FromString, + ) + return self._stubs["get_location"] + + +__all__ = ( + 'DocumentUnderstandingServiceGrpcAsyncIOTransport', +) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/types/__init__.py b/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/types/__init__.py new file mode 100644 index 000000000000..b7ad9d9fcbbc --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/types/__init__.py @@ -0,0 +1,68 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from .barcode import ( + Barcode, +) +from .document import ( + Document, +) +from .document_understanding import ( + AutoMlParams, + BatchProcessDocumentsRequest, + BatchProcessDocumentsResponse, + EntityExtractionParams, + FormExtractionParams, + GcsDestination, + GcsSource, + InputConfig, + KeyValuePairHint, + OcrParams, + OperationMetadata, + OutputConfig, + ProcessDocumentRequest, + ProcessDocumentResponse, + TableBoundHint, + TableExtractionParams, +) +from .geometry import ( + BoundingPoly, + NormalizedVertex, + Vertex, +) + +__all__ = ( + 'Barcode', + 'Document', + 'AutoMlParams', + 'BatchProcessDocumentsRequest', + 'BatchProcessDocumentsResponse', + 'EntityExtractionParams', + 'FormExtractionParams', + 'GcsDestination', + 'GcsSource', + 'InputConfig', + 'KeyValuePairHint', + 'OcrParams', + 'OperationMetadata', + 'OutputConfig', + 'ProcessDocumentRequest', + 'ProcessDocumentResponse', + 'TableBoundHint', + 'TableExtractionParams', + 'BoundingPoly', + 'NormalizedVertex', + 'Vertex', +) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/types/barcode.py b/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/types/barcode.py new file mode 100644 index 000000000000..3157967ea1bd --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/types/barcode.py @@ -0,0 +1,87 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from __future__ import annotations + +from typing import MutableMapping, MutableSequence + +import proto # type: ignore + + +__protobuf__ = proto.module( + package='google.cloud.documentai.v1beta2', + manifest={ + 'Barcode', + }, +) + + +class Barcode(proto.Message): + r"""Encodes the detailed information of a barcode. + + Attributes: + format_ (str): + Format of a barcode. The supported formats are: + + - ``CODE_128``: Code 128 type. + - ``CODE_39``: Code 39 type. + - ``CODE_93``: Code 93 type. + - ``CODABAR``: Codabar type. + - ``DATA_MATRIX``: 2D Data Matrix type. + - ``ITF``: ITF type. + - ``EAN_13``: EAN-13 type. + - ``EAN_8``: EAN-8 type. + - ``QR_CODE``: 2D QR code type. + - ``UPC_A``: UPC-A type. + - ``UPC_E``: UPC-E type. + - ``PDF417``: PDF417 type. + - ``AZTEC``: 2D Aztec code type. + - ``DATABAR``: GS1 DataBar code type. + value_format (str): + Value format describes the format of the value that a + barcode encodes. The supported formats are: + + - ``CONTACT_INFO``: Contact information. + - ``EMAIL``: Email address. + - ``ISBN``: ISBN identifier. + - ``PHONE``: Phone number. + - ``PRODUCT``: Product. + - ``SMS``: SMS message. + - ``TEXT``: Text string. + - ``URL``: URL address. + - ``WIFI``: Wifi information. + - ``GEO``: Geo-localization. + - ``CALENDAR_EVENT``: Calendar event. + - ``DRIVER_LICENSE``: Driver's license. + raw_value (str): + Raw value encoded in the barcode. For example: + ``'MEBKM:TITLE:Google;URL:https://www.google.com;;'``. + """ + + format_: str = proto.Field( + proto.STRING, + number=1, + ) + value_format: str = proto.Field( + proto.STRING, + number=2, + ) + raw_value: str = proto.Field( + proto.STRING, + number=3, + ) + + +__all__ = tuple(sorted(__protobuf__.manifest)) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/types/document.py b/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/types/document.py new file mode 100644 index 000000000000..24f4f0ced985 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/types/document.py @@ -0,0 +1,1887 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from __future__ import annotations + +from typing import MutableMapping, MutableSequence + +import proto # type: ignore + +from google.cloud.documentai_v1beta2.types import barcode as gcd_barcode +from google.cloud.documentai_v1beta2.types import geometry +from google.protobuf import timestamp_pb2 # type: ignore +from google.rpc import status_pb2 # type: ignore +from google.type import color_pb2 # type: ignore +from google.type import date_pb2 # type: ignore +from google.type import datetime_pb2 # type: ignore +from google.type import money_pb2 # type: ignore +from google.type import postal_address_pb2 # type: ignore + + +__protobuf__ = proto.module( + package='google.cloud.documentai.v1beta2', + manifest={ + 'Document', + }, +) + + +class Document(proto.Message): + r"""Document represents the canonical document resource in + Document AI. It is an interchange format that provides insights + into documents and allows for collaboration between users and + Document AI to iterate and optimize for quality. + + This message has `oneof`_ fields (mutually exclusive fields). + For each oneof, at most one member field can be set at the same time. + Setting any member of the oneof automatically clears all other + members. + + .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields + + Attributes: + uri (str): + Optional. Currently supports Google Cloud Storage URI of the + form ``gs://bucket_name/object_name``. Object versioning is + not supported. For more information, refer to `Google Cloud + Storage Request + URIs `__. + + This field is a member of `oneof`_ ``source``. + content (bytes): + Optional. Inline document content, represented as a stream + of bytes. Note: As with all ``bytes`` fields, protobuffers + use a pure binary representation, whereas JSON + representations use base64. + + This field is a member of `oneof`_ ``source``. + mime_type (str): + An IANA published `media type (MIME + type) `__. + text (str): + Optional. UTF-8 encoded text in reading order + from the document. + text_styles (MutableSequence[google.cloud.documentai_v1beta2.types.Document.Style]): + Styles for the + [Document.text][google.cloud.documentai.v1beta2.Document.text]. + pages (MutableSequence[google.cloud.documentai_v1beta2.types.Document.Page]): + Visual page layout for the + [Document][google.cloud.documentai.v1beta2.Document]. + entities (MutableSequence[google.cloud.documentai_v1beta2.types.Document.Entity]): + A list of entities detected on + [Document.text][google.cloud.documentai.v1beta2.Document.text]. + For document shards, entities in this list may cross shard + boundaries. + entity_relations (MutableSequence[google.cloud.documentai_v1beta2.types.Document.EntityRelation]): + Placeholder. Relationship among + [Document.entities][google.cloud.documentai.v1beta2.Document.entities]. + text_changes (MutableSequence[google.cloud.documentai_v1beta2.types.Document.TextChange]): + Placeholder. A list of text corrections made to + [Document.text][google.cloud.documentai.v1beta2.Document.text]. + This is usually used for annotating corrections to OCR + mistakes. Text changes for a given revision may not overlap + with each other. + shard_info (google.cloud.documentai_v1beta2.types.Document.ShardInfo): + Information about the sharding if this + document is sharded part of a larger document. + If the document is not sharded, this message is + not specified. + labels (MutableSequence[google.cloud.documentai_v1beta2.types.Document.Label]): + [Label][google.cloud.documentai.v1beta2.Document.Label]s for + this document. + error (google.rpc.status_pb2.Status): + Any error that occurred while processing this + document. + revisions (MutableSequence[google.cloud.documentai_v1beta2.types.Document.Revision]): + Placeholder. Revision history of this + document. + """ + + class ShardInfo(proto.Message): + r"""For a large document, sharding may be performed to produce + several document shards. Each document shard contains this field + to detail which shard it is. + + Attributes: + shard_index (int): + The 0-based index of this shard. + shard_count (int): + Total number of shards. + text_offset (int): + The index of the first character in + [Document.text][google.cloud.documentai.v1beta2.Document.text] + in the overall document global text. + """ + + shard_index: int = proto.Field( + proto.INT64, + number=1, + ) + shard_count: int = proto.Field( + proto.INT64, + number=2, + ) + text_offset: int = proto.Field( + proto.INT64, + number=3, + ) + + class Label(proto.Message): + r"""Label attaches schema information and/or other metadata to segments + within a [Document][google.cloud.documentai.v1beta2.Document]. + Multiple [Label][google.cloud.documentai.v1beta2.Document.Label]s on + a single field can denote either different labels, different + instances of the same label created at different times, or some + combination of both. + + + .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields + + Attributes: + automl_model (str): + Label is generated AutoML model. This field stores the full + resource name of the AutoML model. + + Format: + ``projects/{project-id}/locations/{location-id}/models/{model-id}`` + + This field is a member of `oneof`_ ``source``. + name (str): + Name of the label. + + When the label is generated from AutoML Text + Classification model, this field represents the + name of the category. + confidence (float): + Confidence score between 0 and 1 for label + assignment. + """ + + automl_model: str = proto.Field( + proto.STRING, + number=2, + oneof='source', + ) + name: str = proto.Field( + proto.STRING, + number=1, + ) + confidence: float = proto.Field( + proto.FLOAT, + number=3, + ) + + class Style(proto.Message): + r"""Annotation for common text style attributes. This adheres to + CSS conventions as much as possible. + + Attributes: + text_anchor (google.cloud.documentai_v1beta2.types.Document.TextAnchor): + Text anchor indexing into the + [Document.text][google.cloud.documentai.v1beta2.Document.text]. + color (google.type.color_pb2.Color): + Text color. + background_color (google.type.color_pb2.Color): + Text background color. + font_weight (str): + `Font + weight `__. + Possible values are ``normal``, ``bold``, ``bolder``, and + ``lighter``. + text_style (str): + `Text + style `__. + Possible values are ``normal``, ``italic``, and ``oblique``. + text_decoration (str): + `Text + decoration `__. + Follows CSS standard. + font_size (google.cloud.documentai_v1beta2.types.Document.Style.FontSize): + Font size. + font_family (str): + Font family such as ``Arial``, ``Times New Roman``. + https://www.w3schools.com/cssref/pr_font_font-family.asp + """ + + class FontSize(proto.Message): + r"""Font size with unit. + + Attributes: + size (float): + Font size for the text. + unit (str): + Unit for the font size. Follows CSS naming (such as ``in``, + ``px``, and ``pt``). + """ + + size: float = proto.Field( + proto.FLOAT, + number=1, + ) + unit: str = proto.Field( + proto.STRING, + number=2, + ) + + text_anchor: 'Document.TextAnchor' = proto.Field( + proto.MESSAGE, + number=1, + message='Document.TextAnchor', + ) + color: color_pb2.Color = proto.Field( + proto.MESSAGE, + number=2, + message=color_pb2.Color, + ) + background_color: color_pb2.Color = proto.Field( + proto.MESSAGE, + number=3, + message=color_pb2.Color, + ) + font_weight: str = proto.Field( + proto.STRING, + number=4, + ) + text_style: str = proto.Field( + proto.STRING, + number=5, + ) + text_decoration: str = proto.Field( + proto.STRING, + number=6, + ) + font_size: 'Document.Style.FontSize' = proto.Field( + proto.MESSAGE, + number=7, + message='Document.Style.FontSize', + ) + font_family: str = proto.Field( + proto.STRING, + number=8, + ) + + class Page(proto.Message): + r"""A page in a [Document][google.cloud.documentai.v1beta2.Document]. + + Attributes: + page_number (int): + 1-based index for current + [Page][google.cloud.documentai.v1beta2.Document.Page] in a + parent [Document][google.cloud.documentai.v1beta2.Document]. + Useful when a page is taken out of a + [Document][google.cloud.documentai.v1beta2.Document] for + individual processing. + image (google.cloud.documentai_v1beta2.types.Document.Page.Image): + Rendered image for this page. This image is + preprocessed to remove any skew, rotation, and + distortions such that the annotation bounding + boxes can be upright and axis-aligned. + transforms (MutableSequence[google.cloud.documentai_v1beta2.types.Document.Page.Matrix]): + Transformation matrices that were applied to the original + document image to produce + [Page.image][google.cloud.documentai.v1beta2.Document.Page.image]. + dimension (google.cloud.documentai_v1beta2.types.Document.Page.Dimension): + Physical dimension of the page. + layout (google.cloud.documentai_v1beta2.types.Document.Page.Layout): + [Layout][google.cloud.documentai.v1beta2.Document.Page.Layout] + for the page. + detected_languages (MutableSequence[google.cloud.documentai_v1beta2.types.Document.Page.DetectedLanguage]): + A list of detected languages together with + confidence. + blocks (MutableSequence[google.cloud.documentai_v1beta2.types.Document.Page.Block]): + A list of visually detected text blocks on + the page. A block has a set of lines (collected + into paragraphs) that have a common line-spacing + and orientation. + paragraphs (MutableSequence[google.cloud.documentai_v1beta2.types.Document.Page.Paragraph]): + A list of visually detected text paragraphs + on the page. A collection of lines that a human + would perceive as a paragraph. + lines (MutableSequence[google.cloud.documentai_v1beta2.types.Document.Page.Line]): + A list of visually detected text lines on the + page. A collection of tokens that a human would + perceive as a line. + tokens (MutableSequence[google.cloud.documentai_v1beta2.types.Document.Page.Token]): + A list of visually detected tokens on the + page. + visual_elements (MutableSequence[google.cloud.documentai_v1beta2.types.Document.Page.VisualElement]): + A list of detected non-text visual elements + e.g. checkbox, signature etc. on the page. + tables (MutableSequence[google.cloud.documentai_v1beta2.types.Document.Page.Table]): + A list of visually detected tables on the + page. + form_fields (MutableSequence[google.cloud.documentai_v1beta2.types.Document.Page.FormField]): + A list of visually detected form fields on + the page. + symbols (MutableSequence[google.cloud.documentai_v1beta2.types.Document.Page.Symbol]): + A list of visually detected symbols on the + page. + detected_barcodes (MutableSequence[google.cloud.documentai_v1beta2.types.Document.Page.DetectedBarcode]): + A list of detected barcodes. + image_quality_scores (google.cloud.documentai_v1beta2.types.Document.Page.ImageQualityScores): + Image quality scores. + provenance (google.cloud.documentai_v1beta2.types.Document.Provenance): + The history of this page. + """ + + class Dimension(proto.Message): + r"""Dimension for the page. + + Attributes: + width (float): + Page width. + height (float): + Page height. + unit (str): + Dimension unit. + """ + + width: float = proto.Field( + proto.FLOAT, + number=1, + ) + height: float = proto.Field( + proto.FLOAT, + number=2, + ) + unit: str = proto.Field( + proto.STRING, + number=3, + ) + + class Image(proto.Message): + r"""Rendered image contents for this page. + + Attributes: + content (bytes): + Raw byte content of the image. + mime_type (str): + Encoding `media type (MIME + type) `__ + for the image. + width (int): + Width of the image in pixels. + height (int): + Height of the image in pixels. + """ + + content: bytes = proto.Field( + proto.BYTES, + number=1, + ) + mime_type: str = proto.Field( + proto.STRING, + number=2, + ) + width: int = proto.Field( + proto.INT32, + number=3, + ) + height: int = proto.Field( + proto.INT32, + number=4, + ) + + class Matrix(proto.Message): + r"""Representation for transformation matrix, intended to be + compatible and used with OpenCV format for image manipulation. + + Attributes: + rows (int): + Number of rows in the matrix. + cols (int): + Number of columns in the matrix. + type_ (int): + This encodes information about what data type the matrix + uses. For example, 0 (CV_8U) is an unsigned 8-bit image. For + the full list of OpenCV primitive data types, please refer + to + https://docs.opencv.org/4.3.0/d1/d1b/group__core__hal__interface.html + data (bytes): + The matrix data. + """ + + rows: int = proto.Field( + proto.INT32, + number=1, + ) + cols: int = proto.Field( + proto.INT32, + number=2, + ) + type_: int = proto.Field( + proto.INT32, + number=3, + ) + data: bytes = proto.Field( + proto.BYTES, + number=4, + ) + + class Layout(proto.Message): + r"""Visual element describing a layout unit on a page. + + Attributes: + text_anchor (google.cloud.documentai_v1beta2.types.Document.TextAnchor): + Text anchor indexing into the + [Document.text][google.cloud.documentai.v1beta2.Document.text]. + confidence (float): + Confidence of the current + [Layout][google.cloud.documentai.v1beta2.Document.Page.Layout] + within context of the object this layout is for. e.g. + confidence can be for a single token, a table, a visual + element, etc. depending on context. Range ``[0, 1]``. + bounding_poly (google.cloud.documentai_v1beta2.types.BoundingPoly): + The bounding polygon for the + [Layout][google.cloud.documentai.v1beta2.Document.Page.Layout]. + orientation (google.cloud.documentai_v1beta2.types.Document.Page.Layout.Orientation): + Detected orientation for the + [Layout][google.cloud.documentai.v1beta2.Document.Page.Layout]. + """ + class Orientation(proto.Enum): + r"""Detected human reading orientation. + + Values: + ORIENTATION_UNSPECIFIED (0): + Unspecified orientation. + PAGE_UP (1): + Orientation is aligned with page up. + PAGE_RIGHT (2): + Orientation is aligned with page right. + Turn the head 90 degrees clockwise from upright + to read. + PAGE_DOWN (3): + Orientation is aligned with page down. + Turn the head 180 degrees from upright to read. + PAGE_LEFT (4): + Orientation is aligned with page left. + Turn the head 90 degrees counterclockwise from + upright to read. + """ + ORIENTATION_UNSPECIFIED = 0 + PAGE_UP = 1 + PAGE_RIGHT = 2 + PAGE_DOWN = 3 + PAGE_LEFT = 4 + + text_anchor: 'Document.TextAnchor' = proto.Field( + proto.MESSAGE, + number=1, + message='Document.TextAnchor', + ) + confidence: float = proto.Field( + proto.FLOAT, + number=2, + ) + bounding_poly: geometry.BoundingPoly = proto.Field( + proto.MESSAGE, + number=3, + message=geometry.BoundingPoly, + ) + orientation: 'Document.Page.Layout.Orientation' = proto.Field( + proto.ENUM, + number=4, + enum='Document.Page.Layout.Orientation', + ) + + class Block(proto.Message): + r"""A block has a set of lines (collected into paragraphs) that + have a common line-spacing and orientation. + + Attributes: + layout (google.cloud.documentai_v1beta2.types.Document.Page.Layout): + [Layout][google.cloud.documentai.v1beta2.Document.Page.Layout] + for + [Block][google.cloud.documentai.v1beta2.Document.Page.Block]. + detected_languages (MutableSequence[google.cloud.documentai_v1beta2.types.Document.Page.DetectedLanguage]): + A list of detected languages together with + confidence. + provenance (google.cloud.documentai_v1beta2.types.Document.Provenance): + The history of this annotation. + """ + + layout: 'Document.Page.Layout' = proto.Field( + proto.MESSAGE, + number=1, + message='Document.Page.Layout', + ) + detected_languages: MutableSequence['Document.Page.DetectedLanguage'] = proto.RepeatedField( + proto.MESSAGE, + number=2, + message='Document.Page.DetectedLanguage', + ) + provenance: 'Document.Provenance' = proto.Field( + proto.MESSAGE, + number=3, + message='Document.Provenance', + ) + + class Paragraph(proto.Message): + r"""A collection of lines that a human would perceive as a + paragraph. + + Attributes: + layout (google.cloud.documentai_v1beta2.types.Document.Page.Layout): + [Layout][google.cloud.documentai.v1beta2.Document.Page.Layout] + for + [Paragraph][google.cloud.documentai.v1beta2.Document.Page.Paragraph]. + detected_languages (MutableSequence[google.cloud.documentai_v1beta2.types.Document.Page.DetectedLanguage]): + A list of detected languages together with + confidence. + provenance (google.cloud.documentai_v1beta2.types.Document.Provenance): + The history of this annotation. + """ + + layout: 'Document.Page.Layout' = proto.Field( + proto.MESSAGE, + number=1, + message='Document.Page.Layout', + ) + detected_languages: MutableSequence['Document.Page.DetectedLanguage'] = proto.RepeatedField( + proto.MESSAGE, + number=2, + message='Document.Page.DetectedLanguage', + ) + provenance: 'Document.Provenance' = proto.Field( + proto.MESSAGE, + number=3, + message='Document.Provenance', + ) + + class Line(proto.Message): + r"""A collection of tokens that a human would perceive as a line. + Does not cross column boundaries, can be horizontal, vertical, + etc. + + Attributes: + layout (google.cloud.documentai_v1beta2.types.Document.Page.Layout): + [Layout][google.cloud.documentai.v1beta2.Document.Page.Layout] + for + [Line][google.cloud.documentai.v1beta2.Document.Page.Line]. + detected_languages (MutableSequence[google.cloud.documentai_v1beta2.types.Document.Page.DetectedLanguage]): + A list of detected languages together with + confidence. + provenance (google.cloud.documentai_v1beta2.types.Document.Provenance): + The history of this annotation. + """ + + layout: 'Document.Page.Layout' = proto.Field( + proto.MESSAGE, + number=1, + message='Document.Page.Layout', + ) + detected_languages: MutableSequence['Document.Page.DetectedLanguage'] = proto.RepeatedField( + proto.MESSAGE, + number=2, + message='Document.Page.DetectedLanguage', + ) + provenance: 'Document.Provenance' = proto.Field( + proto.MESSAGE, + number=3, + message='Document.Provenance', + ) + + class Token(proto.Message): + r"""A detected token. + + Attributes: + layout (google.cloud.documentai_v1beta2.types.Document.Page.Layout): + [Layout][google.cloud.documentai.v1beta2.Document.Page.Layout] + for + [Token][google.cloud.documentai.v1beta2.Document.Page.Token]. + detected_break (google.cloud.documentai_v1beta2.types.Document.Page.Token.DetectedBreak): + Detected break at the end of a + [Token][google.cloud.documentai.v1beta2.Document.Page.Token]. + detected_languages (MutableSequence[google.cloud.documentai_v1beta2.types.Document.Page.DetectedLanguage]): + A list of detected languages together with + confidence. + provenance (google.cloud.documentai_v1beta2.types.Document.Provenance): + The history of this annotation. + style_info (google.cloud.documentai_v1beta2.types.Document.Page.Token.StyleInfo): + Text style attributes. + """ + + class DetectedBreak(proto.Message): + r"""Detected break at the end of a + [Token][google.cloud.documentai.v1beta2.Document.Page.Token]. + + Attributes: + type_ (google.cloud.documentai_v1beta2.types.Document.Page.Token.DetectedBreak.Type): + Detected break type. + """ + class Type(proto.Enum): + r"""Enum to denote the type of break found. + + Values: + TYPE_UNSPECIFIED (0): + Unspecified break type. + SPACE (1): + A single whitespace. + WIDE_SPACE (2): + A wider whitespace. + HYPHEN (3): + A hyphen that indicates that a token has been + split across lines. + """ + TYPE_UNSPECIFIED = 0 + SPACE = 1 + WIDE_SPACE = 2 + HYPHEN = 3 + + type_: 'Document.Page.Token.DetectedBreak.Type' = proto.Field( + proto.ENUM, + number=1, + enum='Document.Page.Token.DetectedBreak.Type', + ) + + class StyleInfo(proto.Message): + r"""Font and other text style attributes. + + Attributes: + font_size (int): + Font size in points (``1`` point is ``¹⁄₇₂`` inches). + pixel_font_size (float): + Font size in pixels, equal to *unrounded + [font_size][google.cloud.documentai.v1beta2.Document.Page.Token.StyleInfo.font_size]* + + - *resolution* ÷ ``72.0``. + letter_spacing (float): + Letter spacing in points. + font_type (str): + Name or style of the font. + bold (bool): + Whether the text is bold (equivalent to + [font_weight][google.cloud.documentai.v1beta2.Document.Page.Token.StyleInfo.font_weight] + is at least ``700``). + italic (bool): + Whether the text is italic. + underlined (bool): + Whether the text is underlined. + strikeout (bool): + Whether the text is strikethrough. + subscript (bool): + Whether the text is a subscript. + superscript (bool): + Whether the text is a superscript. + smallcaps (bool): + Whether the text is in small caps. + font_weight (int): + TrueType weight on a scale ``100`` (thin) to ``1000`` + (ultra-heavy). Normal is ``400``, bold is ``700``. + handwritten (bool): + Whether the text is handwritten. + text_color (google.type.color_pb2.Color): + Color of the text. + background_color (google.type.color_pb2.Color): + Color of the background. + """ + + font_size: int = proto.Field( + proto.INT32, + number=1, + ) + pixel_font_size: float = proto.Field( + proto.DOUBLE, + number=2, + ) + letter_spacing: float = proto.Field( + proto.DOUBLE, + number=3, + ) + font_type: str = proto.Field( + proto.STRING, + number=4, + ) + bold: bool = proto.Field( + proto.BOOL, + number=5, + ) + italic: bool = proto.Field( + proto.BOOL, + number=6, + ) + underlined: bool = proto.Field( + proto.BOOL, + number=7, + ) + strikeout: bool = proto.Field( + proto.BOOL, + number=8, + ) + subscript: bool = proto.Field( + proto.BOOL, + number=9, + ) + superscript: bool = proto.Field( + proto.BOOL, + number=10, + ) + smallcaps: bool = proto.Field( + proto.BOOL, + number=11, + ) + font_weight: int = proto.Field( + proto.INT32, + number=12, + ) + handwritten: bool = proto.Field( + proto.BOOL, + number=13, + ) + text_color: color_pb2.Color = proto.Field( + proto.MESSAGE, + number=14, + message=color_pb2.Color, + ) + background_color: color_pb2.Color = proto.Field( + proto.MESSAGE, + number=15, + message=color_pb2.Color, + ) + + layout: 'Document.Page.Layout' = proto.Field( + proto.MESSAGE, + number=1, + message='Document.Page.Layout', + ) + detected_break: 'Document.Page.Token.DetectedBreak' = proto.Field( + proto.MESSAGE, + number=2, + message='Document.Page.Token.DetectedBreak', + ) + detected_languages: MutableSequence['Document.Page.DetectedLanguage'] = proto.RepeatedField( + proto.MESSAGE, + number=3, + message='Document.Page.DetectedLanguage', + ) + provenance: 'Document.Provenance' = proto.Field( + proto.MESSAGE, + number=4, + message='Document.Provenance', + ) + style_info: 'Document.Page.Token.StyleInfo' = proto.Field( + proto.MESSAGE, + number=5, + message='Document.Page.Token.StyleInfo', + ) + + class Symbol(proto.Message): + r"""A detected symbol. + + Attributes: + layout (google.cloud.documentai_v1beta2.types.Document.Page.Layout): + [Layout][google.cloud.documentai.v1beta2.Document.Page.Layout] + for + [Symbol][google.cloud.documentai.v1beta2.Document.Page.Symbol]. + detected_languages (MutableSequence[google.cloud.documentai_v1beta2.types.Document.Page.DetectedLanguage]): + A list of detected languages together with + confidence. + """ + + layout: 'Document.Page.Layout' = proto.Field( + proto.MESSAGE, + number=1, + message='Document.Page.Layout', + ) + detected_languages: MutableSequence['Document.Page.DetectedLanguage'] = proto.RepeatedField( + proto.MESSAGE, + number=2, + message='Document.Page.DetectedLanguage', + ) + + class VisualElement(proto.Message): + r"""Detected non-text visual elements e.g. checkbox, signature + etc. on the page. + + Attributes: + layout (google.cloud.documentai_v1beta2.types.Document.Page.Layout): + [Layout][google.cloud.documentai.v1beta2.Document.Page.Layout] + for + [VisualElement][google.cloud.documentai.v1beta2.Document.Page.VisualElement]. + type_ (str): + Type of the + [VisualElement][google.cloud.documentai.v1beta2.Document.Page.VisualElement]. + detected_languages (MutableSequence[google.cloud.documentai_v1beta2.types.Document.Page.DetectedLanguage]): + A list of detected languages together with + confidence. + """ + + layout: 'Document.Page.Layout' = proto.Field( + proto.MESSAGE, + number=1, + message='Document.Page.Layout', + ) + type_: str = proto.Field( + proto.STRING, + number=2, + ) + detected_languages: MutableSequence['Document.Page.DetectedLanguage'] = proto.RepeatedField( + proto.MESSAGE, + number=3, + message='Document.Page.DetectedLanguage', + ) + + class Table(proto.Message): + r"""A table representation similar to HTML table structure. + + Attributes: + layout (google.cloud.documentai_v1beta2.types.Document.Page.Layout): + [Layout][google.cloud.documentai.v1beta2.Document.Page.Layout] + for + [Table][google.cloud.documentai.v1beta2.Document.Page.Table]. + header_rows (MutableSequence[google.cloud.documentai_v1beta2.types.Document.Page.Table.TableRow]): + Header rows of the table. + body_rows (MutableSequence[google.cloud.documentai_v1beta2.types.Document.Page.Table.TableRow]): + Body rows of the table. + detected_languages (MutableSequence[google.cloud.documentai_v1beta2.types.Document.Page.DetectedLanguage]): + A list of detected languages together with + confidence. + provenance (google.cloud.documentai_v1beta2.types.Document.Provenance): + The history of this table. + """ + + class TableRow(proto.Message): + r"""A row of table cells. + + Attributes: + cells (MutableSequence[google.cloud.documentai_v1beta2.types.Document.Page.Table.TableCell]): + Cells that make up this row. + """ + + cells: MutableSequence['Document.Page.Table.TableCell'] = proto.RepeatedField( + proto.MESSAGE, + number=1, + message='Document.Page.Table.TableCell', + ) + + class TableCell(proto.Message): + r"""A cell representation inside the table. + + Attributes: + layout (google.cloud.documentai_v1beta2.types.Document.Page.Layout): + [Layout][google.cloud.documentai.v1beta2.Document.Page.Layout] + for + [TableCell][google.cloud.documentai.v1beta2.Document.Page.Table.TableCell]. + row_span (int): + How many rows this cell spans. + col_span (int): + How many columns this cell spans. + detected_languages (MutableSequence[google.cloud.documentai_v1beta2.types.Document.Page.DetectedLanguage]): + A list of detected languages together with + confidence. + """ + + layout: 'Document.Page.Layout' = proto.Field( + proto.MESSAGE, + number=1, + message='Document.Page.Layout', + ) + row_span: int = proto.Field( + proto.INT32, + number=2, + ) + col_span: int = proto.Field( + proto.INT32, + number=3, + ) + detected_languages: MutableSequence['Document.Page.DetectedLanguage'] = proto.RepeatedField( + proto.MESSAGE, + number=4, + message='Document.Page.DetectedLanguage', + ) + + layout: 'Document.Page.Layout' = proto.Field( + proto.MESSAGE, + number=1, + message='Document.Page.Layout', + ) + header_rows: MutableSequence['Document.Page.Table.TableRow'] = proto.RepeatedField( + proto.MESSAGE, + number=2, + message='Document.Page.Table.TableRow', + ) + body_rows: MutableSequence['Document.Page.Table.TableRow'] = proto.RepeatedField( + proto.MESSAGE, + number=3, + message='Document.Page.Table.TableRow', + ) + detected_languages: MutableSequence['Document.Page.DetectedLanguage'] = proto.RepeatedField( + proto.MESSAGE, + number=4, + message='Document.Page.DetectedLanguage', + ) + provenance: 'Document.Provenance' = proto.Field( + proto.MESSAGE, + number=5, + message='Document.Provenance', + ) + + class FormField(proto.Message): + r"""A form field detected on the page. + + Attributes: + field_name (google.cloud.documentai_v1beta2.types.Document.Page.Layout): + [Layout][google.cloud.documentai.v1beta2.Document.Page.Layout] + for the + [FormField][google.cloud.documentai.v1beta2.Document.Page.FormField] + name. e.g. ``Address``, ``Email``, ``Grand total``, + ``Phone number``, etc. + field_value (google.cloud.documentai_v1beta2.types.Document.Page.Layout): + [Layout][google.cloud.documentai.v1beta2.Document.Page.Layout] + for the + [FormField][google.cloud.documentai.v1beta2.Document.Page.FormField] + value. + name_detected_languages (MutableSequence[google.cloud.documentai_v1beta2.types.Document.Page.DetectedLanguage]): + A list of detected languages for name + together with confidence. + value_detected_languages (MutableSequence[google.cloud.documentai_v1beta2.types.Document.Page.DetectedLanguage]): + A list of detected languages for value + together with confidence. + value_type (str): + If the value is non-textual, this field represents the type. + Current valid values are: + + - blank (this indicates the ``field_value`` is normal text) + - ``unfilled_checkbox`` + - ``filled_checkbox`` + corrected_key_text (str): + Created for Labeling UI to export key text. If corrections + were made to the text identified by the + ``field_name.text_anchor``, this field will contain the + correction. + corrected_value_text (str): + Created for Labeling UI to export value text. If corrections + were made to the text identified by the + ``field_value.text_anchor``, this field will contain the + correction. + provenance (google.cloud.documentai_v1beta2.types.Document.Provenance): + The history of this annotation. + """ + + field_name: 'Document.Page.Layout' = proto.Field( + proto.MESSAGE, + number=1, + message='Document.Page.Layout', + ) + field_value: 'Document.Page.Layout' = proto.Field( + proto.MESSAGE, + number=2, + message='Document.Page.Layout', + ) + name_detected_languages: MutableSequence['Document.Page.DetectedLanguage'] = proto.RepeatedField( + proto.MESSAGE, + number=3, + message='Document.Page.DetectedLanguage', + ) + value_detected_languages: MutableSequence['Document.Page.DetectedLanguage'] = proto.RepeatedField( + proto.MESSAGE, + number=4, + message='Document.Page.DetectedLanguage', + ) + value_type: str = proto.Field( + proto.STRING, + number=5, + ) + corrected_key_text: str = proto.Field( + proto.STRING, + number=6, + ) + corrected_value_text: str = proto.Field( + proto.STRING, + number=7, + ) + provenance: 'Document.Provenance' = proto.Field( + proto.MESSAGE, + number=8, + message='Document.Provenance', + ) + + class DetectedBarcode(proto.Message): + r"""A detected barcode. + + Attributes: + layout (google.cloud.documentai_v1beta2.types.Document.Page.Layout): + [Layout][google.cloud.documentai.v1beta2.Document.Page.Layout] + for + [DetectedBarcode][google.cloud.documentai.v1beta2.Document.Page.DetectedBarcode]. + barcode (google.cloud.documentai_v1beta2.types.Barcode): + Detailed barcode information of the + [DetectedBarcode][google.cloud.documentai.v1beta2.Document.Page.DetectedBarcode]. + """ + + layout: 'Document.Page.Layout' = proto.Field( + proto.MESSAGE, + number=1, + message='Document.Page.Layout', + ) + barcode: gcd_barcode.Barcode = proto.Field( + proto.MESSAGE, + number=2, + message=gcd_barcode.Barcode, + ) + + class DetectedLanguage(proto.Message): + r"""Detected language for a structural component. + + Attributes: + language_code (str): + The `BCP-47 language + code `__, + such as ``en-US`` or ``sr-Latn``. + confidence (float): + Confidence of detected language. Range ``[0, 1]``. + """ + + language_code: str = proto.Field( + proto.STRING, + number=1, + ) + confidence: float = proto.Field( + proto.FLOAT, + number=2, + ) + + class ImageQualityScores(proto.Message): + r"""Image quality scores for the page image. + + Attributes: + quality_score (float): + The overall quality score. Range ``[0, 1]`` where ``1`` is + perfect quality. + detected_defects (MutableSequence[google.cloud.documentai_v1beta2.types.Document.Page.ImageQualityScores.DetectedDefect]): + A list of detected defects. + """ + + class DetectedDefect(proto.Message): + r"""Image Quality Defects + + Attributes: + type_ (str): + Name of the defect type. Supported values are: + + - ``quality/defect_blurry`` + - ``quality/defect_noisy`` + - ``quality/defect_dark`` + - ``quality/defect_faint`` + - ``quality/defect_text_too_small`` + - ``quality/defect_document_cutoff`` + - ``quality/defect_text_cutoff`` + - ``quality/defect_glare`` + confidence (float): + Confidence of detected defect. Range ``[0, 1]`` where ``1`` + indicates strong confidence that the defect exists. + """ + + type_: str = proto.Field( + proto.STRING, + number=1, + ) + confidence: float = proto.Field( + proto.FLOAT, + number=2, + ) + + quality_score: float = proto.Field( + proto.FLOAT, + number=1, + ) + detected_defects: MutableSequence['Document.Page.ImageQualityScores.DetectedDefect'] = proto.RepeatedField( + proto.MESSAGE, + number=2, + message='Document.Page.ImageQualityScores.DetectedDefect', + ) + + page_number: int = proto.Field( + proto.INT32, + number=1, + ) + image: 'Document.Page.Image' = proto.Field( + proto.MESSAGE, + number=13, + message='Document.Page.Image', + ) + transforms: MutableSequence['Document.Page.Matrix'] = proto.RepeatedField( + proto.MESSAGE, + number=14, + message='Document.Page.Matrix', + ) + dimension: 'Document.Page.Dimension' = proto.Field( + proto.MESSAGE, + number=2, + message='Document.Page.Dimension', + ) + layout: 'Document.Page.Layout' = proto.Field( + proto.MESSAGE, + number=3, + message='Document.Page.Layout', + ) + detected_languages: MutableSequence['Document.Page.DetectedLanguage'] = proto.RepeatedField( + proto.MESSAGE, + number=4, + message='Document.Page.DetectedLanguage', + ) + blocks: MutableSequence['Document.Page.Block'] = proto.RepeatedField( + proto.MESSAGE, + number=5, + message='Document.Page.Block', + ) + paragraphs: MutableSequence['Document.Page.Paragraph'] = proto.RepeatedField( + proto.MESSAGE, + number=6, + message='Document.Page.Paragraph', + ) + lines: MutableSequence['Document.Page.Line'] = proto.RepeatedField( + proto.MESSAGE, + number=7, + message='Document.Page.Line', + ) + tokens: MutableSequence['Document.Page.Token'] = proto.RepeatedField( + proto.MESSAGE, + number=8, + message='Document.Page.Token', + ) + visual_elements: MutableSequence['Document.Page.VisualElement'] = proto.RepeatedField( + proto.MESSAGE, + number=9, + message='Document.Page.VisualElement', + ) + tables: MutableSequence['Document.Page.Table'] = proto.RepeatedField( + proto.MESSAGE, + number=10, + message='Document.Page.Table', + ) + form_fields: MutableSequence['Document.Page.FormField'] = proto.RepeatedField( + proto.MESSAGE, + number=11, + message='Document.Page.FormField', + ) + symbols: MutableSequence['Document.Page.Symbol'] = proto.RepeatedField( + proto.MESSAGE, + number=12, + message='Document.Page.Symbol', + ) + detected_barcodes: MutableSequence['Document.Page.DetectedBarcode'] = proto.RepeatedField( + proto.MESSAGE, + number=15, + message='Document.Page.DetectedBarcode', + ) + image_quality_scores: 'Document.Page.ImageQualityScores' = proto.Field( + proto.MESSAGE, + number=17, + message='Document.Page.ImageQualityScores', + ) + provenance: 'Document.Provenance' = proto.Field( + proto.MESSAGE, + number=16, + message='Document.Provenance', + ) + + class Entity(proto.Message): + r"""An entity that could be a phrase in the text or a property + that belongs to the document. It is a known entity type, such as + a person, an organization, or location. + + Attributes: + text_anchor (google.cloud.documentai_v1beta2.types.Document.TextAnchor): + Optional. Provenance of the entity. Text anchor indexing + into the + [Document.text][google.cloud.documentai.v1beta2.Document.text]. + type_ (str): + Required. Entity type from a schema e.g. ``Address``. + mention_text (str): + Optional. Text value of the entity e.g. + ``1600 Amphitheatre Pkwy``. + mention_id (str): + Optional. Deprecated. Use ``id`` field instead. + confidence (float): + Optional. Confidence of detected Schema entity. Range + ``[0, 1]``. + page_anchor (google.cloud.documentai_v1beta2.types.Document.PageAnchor): + Optional. Represents the provenance of this + entity wrt. the location on the page where it + was found. + id (str): + Optional. Canonical id. This will be a unique + value in the entity list for this document. + normalized_value (google.cloud.documentai_v1beta2.types.Document.Entity.NormalizedValue): + Optional. Normalized entity value. Absent if + the extracted value could not be converted or + the type (e.g. address) is not supported for + certain parsers. This field is also only + populated for certain supported document types. + properties (MutableSequence[google.cloud.documentai_v1beta2.types.Document.Entity]): + Optional. Entities can be nested to form a + hierarchical data structure representing the + content in the document. + provenance (google.cloud.documentai_v1beta2.types.Document.Provenance): + Optional. The history of this annotation. + redacted (bool): + Optional. Whether the entity will be redacted + for de-identification purposes. + """ + + class NormalizedValue(proto.Message): + r"""Parsed and normalized entity value. + + This message has `oneof`_ fields (mutually exclusive fields). + For each oneof, at most one member field can be set at the same time. + Setting any member of the oneof automatically clears all other + members. + + .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields + + Attributes: + money_value (google.type.money_pb2.Money): + Money value. See also: + + https://github.com/googleapis/googleapis/blob/master/google/type/money.proto + + This field is a member of `oneof`_ ``structured_value``. + date_value (google.type.date_pb2.Date): + Date value. Includes year, month, day. See + also: + https://github.com/googleapis/googleapis/blob/master/google/type/date.proto + + This field is a member of `oneof`_ ``structured_value``. + datetime_value (google.type.datetime_pb2.DateTime): + DateTime value. Includes date, time, and + timezone. See also: + https://github.com/googleapis/googleapis/blob/master/google/type/datetime.proto + + This field is a member of `oneof`_ ``structured_value``. + address_value (google.type.postal_address_pb2.PostalAddress): + Postal address. See also: + https://github.com/googleapis/googleapis/blob/master/google/type/postal_address.proto + + This field is a member of `oneof`_ ``structured_value``. + boolean_value (bool): + Boolean value. Can be used for entities with + binary values, or for checkboxes. + + This field is a member of `oneof`_ ``structured_value``. + integer_value (int): + Integer value. + + This field is a member of `oneof`_ ``structured_value``. + float_value (float): + Float value. + + This field is a member of `oneof`_ ``structured_value``. + text (str): + Optional. An optional field to store a normalized string. + For some entity types, one of respective + ``structured_value`` fields may also be populated. Also not + all the types of ``structured_value`` will be normalized. + For example, some processors may not generate ``float`` or + ``integer`` normalized text by default. + + Below are sample formats mapped to structured values. + + - Money/Currency type (``money_value``) is in the ISO 4217 + text format. + - Date type (``date_value``) is in the ISO 8601 text + format. + - Datetime type (``datetime_value``) is in the ISO 8601 + text format. + """ + + money_value: money_pb2.Money = proto.Field( + proto.MESSAGE, + number=2, + oneof='structured_value', + message=money_pb2.Money, + ) + date_value: date_pb2.Date = proto.Field( + proto.MESSAGE, + number=3, + oneof='structured_value', + message=date_pb2.Date, + ) + datetime_value: datetime_pb2.DateTime = proto.Field( + proto.MESSAGE, + number=4, + oneof='structured_value', + message=datetime_pb2.DateTime, + ) + address_value: postal_address_pb2.PostalAddress = proto.Field( + proto.MESSAGE, + number=5, + oneof='structured_value', + message=postal_address_pb2.PostalAddress, + ) + boolean_value: bool = proto.Field( + proto.BOOL, + number=6, + oneof='structured_value', + ) + integer_value: int = proto.Field( + proto.INT32, + number=7, + oneof='structured_value', + ) + float_value: float = proto.Field( + proto.FLOAT, + number=8, + oneof='structured_value', + ) + text: str = proto.Field( + proto.STRING, + number=1, + ) + + text_anchor: 'Document.TextAnchor' = proto.Field( + proto.MESSAGE, + number=1, + message='Document.TextAnchor', + ) + type_: str = proto.Field( + proto.STRING, + number=2, + ) + mention_text: str = proto.Field( + proto.STRING, + number=3, + ) + mention_id: str = proto.Field( + proto.STRING, + number=4, + ) + confidence: float = proto.Field( + proto.FLOAT, + number=5, + ) + page_anchor: 'Document.PageAnchor' = proto.Field( + proto.MESSAGE, + number=6, + message='Document.PageAnchor', + ) + id: str = proto.Field( + proto.STRING, + number=7, + ) + normalized_value: 'Document.Entity.NormalizedValue' = proto.Field( + proto.MESSAGE, + number=9, + message='Document.Entity.NormalizedValue', + ) + properties: MutableSequence['Document.Entity'] = proto.RepeatedField( + proto.MESSAGE, + number=10, + message='Document.Entity', + ) + provenance: 'Document.Provenance' = proto.Field( + proto.MESSAGE, + number=11, + message='Document.Provenance', + ) + redacted: bool = proto.Field( + proto.BOOL, + number=12, + ) + + class EntityRelation(proto.Message): + r"""Relationship between + [Entities][google.cloud.documentai.v1beta2.Document.Entity]. + + Attributes: + subject_id (str): + Subject entity id. + object_id (str): + Object entity id. + relation (str): + Relationship description. + """ + + subject_id: str = proto.Field( + proto.STRING, + number=1, + ) + object_id: str = proto.Field( + proto.STRING, + number=2, + ) + relation: str = proto.Field( + proto.STRING, + number=3, + ) + + class TextAnchor(proto.Message): + r"""Text reference indexing into the + [Document.text][google.cloud.documentai.v1beta2.Document.text]. + + Attributes: + text_segments (MutableSequence[google.cloud.documentai_v1beta2.types.Document.TextAnchor.TextSegment]): + The text segments from the + [Document.text][google.cloud.documentai.v1beta2.Document.text]. + content (str): + Contains the content of the text span so that users do not + have to look it up in the text_segments. It is always + populated for formFields. + """ + + class TextSegment(proto.Message): + r"""A text segment in the + [Document.text][google.cloud.documentai.v1beta2.Document.text]. The + indices may be out of bounds which indicate that the text extends + into another document shard for large sharded documents. See + [ShardInfo.text_offset][google.cloud.documentai.v1beta2.Document.ShardInfo.text_offset] + + Attributes: + start_index (int): + [TextSegment][google.cloud.documentai.v1beta2.Document.TextAnchor.TextSegment] + start UTF-8 char index in the + [Document.text][google.cloud.documentai.v1beta2.Document.text]. + end_index (int): + [TextSegment][google.cloud.documentai.v1beta2.Document.TextAnchor.TextSegment] + half open end UTF-8 char index in the + [Document.text][google.cloud.documentai.v1beta2.Document.text]. + """ + + start_index: int = proto.Field( + proto.INT64, + number=1, + ) + end_index: int = proto.Field( + proto.INT64, + number=2, + ) + + text_segments: MutableSequence['Document.TextAnchor.TextSegment'] = proto.RepeatedField( + proto.MESSAGE, + number=1, + message='Document.TextAnchor.TextSegment', + ) + content: str = proto.Field( + proto.STRING, + number=2, + ) + + class PageAnchor(proto.Message): + r"""Referencing the visual context of the entity in the + [Document.pages][google.cloud.documentai.v1beta2.Document.pages]. + Page anchors can be cross-page, consist of multiple bounding + polygons and optionally reference specific layout element types. + + Attributes: + page_refs (MutableSequence[google.cloud.documentai_v1beta2.types.Document.PageAnchor.PageRef]): + One or more references to visual page + elements + """ + + class PageRef(proto.Message): + r"""Represents a weak reference to a page element within a + document. + + Attributes: + page (int): + Required. Index into the + [Document.pages][google.cloud.documentai.v1beta2.Document.pages] + element, for example using + ``[Document.pages][page_refs.page]`` to locate the related + page element. This field is skipped when its value is the + default ``0``. See + https://developers.google.com/protocol-buffers/docs/proto3#json. + layout_type (google.cloud.documentai_v1beta2.types.Document.PageAnchor.PageRef.LayoutType): + Optional. The type of the layout element that + is being referenced if any. + layout_id (str): + Optional. Deprecated. Use + [PageRef.bounding_poly][google.cloud.documentai.v1beta2.Document.PageAnchor.PageRef.bounding_poly] + instead. + bounding_poly (google.cloud.documentai_v1beta2.types.BoundingPoly): + Optional. Identifies the bounding polygon of a layout + element on the page. If ``layout_type`` is set, the bounding + polygon must be exactly the same to the layout element it's + referring to. + confidence (float): + Optional. Confidence of detected page element, if + applicable. Range ``[0, 1]``. + """ + class LayoutType(proto.Enum): + r"""The type of layout that is being referenced. + + Values: + LAYOUT_TYPE_UNSPECIFIED (0): + Layout Unspecified. + BLOCK (1): + References a + [Page.blocks][google.cloud.documentai.v1beta2.Document.Page.blocks] + element. + PARAGRAPH (2): + References a + [Page.paragraphs][google.cloud.documentai.v1beta2.Document.Page.paragraphs] + element. + LINE (3): + References a + [Page.lines][google.cloud.documentai.v1beta2.Document.Page.lines] + element. + TOKEN (4): + References a + [Page.tokens][google.cloud.documentai.v1beta2.Document.Page.tokens] + element. + VISUAL_ELEMENT (5): + References a + [Page.visual_elements][google.cloud.documentai.v1beta2.Document.Page.visual_elements] + element. + TABLE (6): + Refrrences a + [Page.tables][google.cloud.documentai.v1beta2.Document.Page.tables] + element. + FORM_FIELD (7): + References a + [Page.form_fields][google.cloud.documentai.v1beta2.Document.Page.form_fields] + element. + """ + LAYOUT_TYPE_UNSPECIFIED = 0 + BLOCK = 1 + PARAGRAPH = 2 + LINE = 3 + TOKEN = 4 + VISUAL_ELEMENT = 5 + TABLE = 6 + FORM_FIELD = 7 + + page: int = proto.Field( + proto.INT64, + number=1, + ) + layout_type: 'Document.PageAnchor.PageRef.LayoutType' = proto.Field( + proto.ENUM, + number=2, + enum='Document.PageAnchor.PageRef.LayoutType', + ) + layout_id: str = proto.Field( + proto.STRING, + number=3, + ) + bounding_poly: geometry.BoundingPoly = proto.Field( + proto.MESSAGE, + number=4, + message=geometry.BoundingPoly, + ) + confidence: float = proto.Field( + proto.FLOAT, + number=5, + ) + + page_refs: MutableSequence['Document.PageAnchor.PageRef'] = proto.RepeatedField( + proto.MESSAGE, + number=1, + message='Document.PageAnchor.PageRef', + ) + + class Provenance(proto.Message): + r"""Structure to identify provenance relationships between + annotations in different revisions. + + Attributes: + revision (int): + The index of the revision that produced this + element. + id (int): + The Id of this operation. Needs to be unique + within the scope of the revision. + parents (MutableSequence[google.cloud.documentai_v1beta2.types.Document.Provenance.Parent]): + References to the original elements that are + replaced. + type_ (google.cloud.documentai_v1beta2.types.Document.Provenance.OperationType): + The type of provenance operation. + """ + class OperationType(proto.Enum): + r"""If a processor or agent does an explicit operation on + existing elements. + + Values: + OPERATION_TYPE_UNSPECIFIED (0): + Operation type unspecified. If no operation is specified a + provenance entry is simply used to match against a + ``parent``. + ADD (1): + Add an element. + REMOVE (2): + Remove an element identified by ``parent``. + UPDATE (7): + Updates any fields within the given + provenance scope of the message. It overwrites + the fields rather than replacing them. Use this + when you want to update a field value of an + entity without also updating all the child + properties. + REPLACE (3): + Currently unused. Replace an element identified by + ``parent``. + EVAL_REQUESTED (4): + Deprecated. Request human review for the element identified + by ``parent``. + EVAL_APPROVED (5): + Deprecated. Element is reviewed and approved + at human review, confidence will be set to 1.0. + EVAL_SKIPPED (6): + Deprecated. Element is skipped in the + validation process. + """ + OPERATION_TYPE_UNSPECIFIED = 0 + ADD = 1 + REMOVE = 2 + UPDATE = 7 + REPLACE = 3 + EVAL_REQUESTED = 4 + EVAL_APPROVED = 5 + EVAL_SKIPPED = 6 + + class Parent(proto.Message): + r"""The parent element the current element is based on. Used for + referencing/aligning, removal and replacement operations. + + Attributes: + revision (int): + The index of the index into current revision's parent_ids + list. + index (int): + The index of the parent item in the + corresponding item list (eg. list of entities, + properties within entities, etc.) in the parent + revision. + id (int): + The id of the parent provenance. + """ + + revision: int = proto.Field( + proto.INT32, + number=1, + ) + index: int = proto.Field( + proto.INT32, + number=3, + ) + id: int = proto.Field( + proto.INT32, + number=2, + ) + + revision: int = proto.Field( + proto.INT32, + number=1, + ) + id: int = proto.Field( + proto.INT32, + number=2, + ) + parents: MutableSequence['Document.Provenance.Parent'] = proto.RepeatedField( + proto.MESSAGE, + number=3, + message='Document.Provenance.Parent', + ) + type_: 'Document.Provenance.OperationType' = proto.Field( + proto.ENUM, + number=4, + enum='Document.Provenance.OperationType', + ) + + class Revision(proto.Message): + r"""Contains past or forward revisions of this document. + + This message has `oneof`_ fields (mutually exclusive fields). + For each oneof, at most one member field can be set at the same time. + Setting any member of the oneof automatically clears all other + members. + + .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields + + Attributes: + agent (str): + If the change was made by a person specify + the name or id of that person. + + This field is a member of `oneof`_ ``source``. + processor (str): + If the annotation was made by processor + identify the processor by its resource name. + + This field is a member of `oneof`_ ``source``. + id (str): + Id of the revision, internally generated by + doc proto storage. Unique within the context of + the document. + parent (MutableSequence[int]): + The revisions that this revision is based on. This can + include one or more parent (when documents are merged.) This + field represents the index into the ``revisions`` field. + parent_ids (MutableSequence[str]): + The revisions that this revision is based on. Must include + all the ids that have anything to do with this revision - + eg. there are ``provenance.parent.revision`` fields that + index into this field. + create_time (google.protobuf.timestamp_pb2.Timestamp): + The time that the revision was created, + internally generated by doc proto storage at the + time of create. + human_review (google.cloud.documentai_v1beta2.types.Document.Revision.HumanReview): + Human Review information of this revision. + """ + + class HumanReview(proto.Message): + r"""Human Review information of the document. + + Attributes: + state (str): + Human review state. e.g. ``requested``, ``succeeded``, + ``rejected``. + state_message (str): + A message providing more details about the current state of + processing. For example, the rejection reason when the state + is ``rejected``. + """ + + state: str = proto.Field( + proto.STRING, + number=1, + ) + state_message: str = proto.Field( + proto.STRING, + number=2, + ) + + agent: str = proto.Field( + proto.STRING, + number=4, + oneof='source', + ) + processor: str = proto.Field( + proto.STRING, + number=5, + oneof='source', + ) + id: str = proto.Field( + proto.STRING, + number=1, + ) + parent: MutableSequence[int] = proto.RepeatedField( + proto.INT32, + number=2, + ) + parent_ids: MutableSequence[str] = proto.RepeatedField( + proto.STRING, + number=7, + ) + create_time: timestamp_pb2.Timestamp = proto.Field( + proto.MESSAGE, + number=3, + message=timestamp_pb2.Timestamp, + ) + human_review: 'Document.Revision.HumanReview' = proto.Field( + proto.MESSAGE, + number=6, + message='Document.Revision.HumanReview', + ) + + class TextChange(proto.Message): + r"""This message is used for text changes aka. OCR corrections. + + Attributes: + text_anchor (google.cloud.documentai_v1beta2.types.Document.TextAnchor): + Provenance of the correction. Text anchor indexing into the + [Document.text][google.cloud.documentai.v1beta2.Document.text]. + There can only be a single ``TextAnchor.text_segments`` + element. If the start and end index of the text segment are + the same, the text change is inserted before that index. + changed_text (str): + The text that replaces the text identified in the + ``text_anchor``. + provenance (MutableSequence[google.cloud.documentai_v1beta2.types.Document.Provenance]): + The history of this annotation. + """ + + text_anchor: 'Document.TextAnchor' = proto.Field( + proto.MESSAGE, + number=1, + message='Document.TextAnchor', + ) + changed_text: str = proto.Field( + proto.STRING, + number=2, + ) + provenance: MutableSequence['Document.Provenance'] = proto.RepeatedField( + proto.MESSAGE, + number=3, + message='Document.Provenance', + ) + + uri: str = proto.Field( + proto.STRING, + number=1, + oneof='source', + ) + content: bytes = proto.Field( + proto.BYTES, + number=2, + oneof='source', + ) + mime_type: str = proto.Field( + proto.STRING, + number=3, + ) + text: str = proto.Field( + proto.STRING, + number=4, + ) + text_styles: MutableSequence[Style] = proto.RepeatedField( + proto.MESSAGE, + number=5, + message=Style, + ) + pages: MutableSequence[Page] = proto.RepeatedField( + proto.MESSAGE, + number=6, + message=Page, + ) + entities: MutableSequence[Entity] = proto.RepeatedField( + proto.MESSAGE, + number=7, + message=Entity, + ) + entity_relations: MutableSequence[EntityRelation] = proto.RepeatedField( + proto.MESSAGE, + number=8, + message=EntityRelation, + ) + text_changes: MutableSequence[TextChange] = proto.RepeatedField( + proto.MESSAGE, + number=14, + message=TextChange, + ) + shard_info: ShardInfo = proto.Field( + proto.MESSAGE, + number=9, + message=ShardInfo, + ) + labels: MutableSequence[Label] = proto.RepeatedField( + proto.MESSAGE, + number=11, + message=Label, + ) + error: status_pb2.Status = proto.Field( + proto.MESSAGE, + number=10, + message=status_pb2.Status, + ) + revisions: MutableSequence[Revision] = proto.RepeatedField( + proto.MESSAGE, + number=13, + message=Revision, + ) + + +__all__ = tuple(sorted(__protobuf__.manifest)) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/types/document_understanding.py b/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/types/document_understanding.py new file mode 100644 index 000000000000..ad4e66434619 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/types/document_understanding.py @@ -0,0 +1,578 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from __future__ import annotations + +from typing import MutableMapping, MutableSequence + +import proto # type: ignore + +from google.cloud.documentai_v1beta2.types import geometry +from google.protobuf import timestamp_pb2 # type: ignore + + +__protobuf__ = proto.module( + package='google.cloud.documentai.v1beta2', + manifest={ + 'BatchProcessDocumentsRequest', + 'ProcessDocumentRequest', + 'BatchProcessDocumentsResponse', + 'ProcessDocumentResponse', + 'OcrParams', + 'TableExtractionParams', + 'TableBoundHint', + 'FormExtractionParams', + 'KeyValuePairHint', + 'EntityExtractionParams', + 'AutoMlParams', + 'InputConfig', + 'OutputConfig', + 'GcsSource', + 'GcsDestination', + 'OperationMetadata', + }, +) + + +class BatchProcessDocumentsRequest(proto.Message): + r"""Request to batch process documents as an asynchronous operation. The + output is written to Cloud Storage as JSON in the [Document] format. + + Attributes: + requests (MutableSequence[google.cloud.documentai_v1beta2.types.ProcessDocumentRequest]): + Required. Individual requests for each + document. + parent (str): + Target project and location to make a call. + + Format: ``projects/{project-id}/locations/{location-id}``. + + If no location is specified, a region will be chosen + automatically. + """ + + requests: MutableSequence['ProcessDocumentRequest'] = proto.RepeatedField( + proto.MESSAGE, + number=1, + message='ProcessDocumentRequest', + ) + parent: str = proto.Field( + proto.STRING, + number=2, + ) + + +class ProcessDocumentRequest(proto.Message): + r"""Request to process one document. + + Attributes: + parent (str): + Target project and location to make a call. + + Format: ``projects/{project-id}/locations/{location-id}``. + + If no location is specified, a region will be chosen + automatically. This field is only populated when used in + ProcessDocument method. + input_config (google.cloud.documentai_v1beta2.types.InputConfig): + Required. Information about the input file. + output_config (google.cloud.documentai_v1beta2.types.OutputConfig): + The desired output location. This field is + only needed in BatchProcessDocumentsRequest. + document_type (str): + Specifies a known document type for deeper + structure detection. Valid values are currently + "general" and "invoice". If not provided, + "general"\ is used as default. If any other + value is given, the request is rejected. + table_extraction_params (google.cloud.documentai_v1beta2.types.TableExtractionParams): + Controls table extraction behavior. If not + specified, the system will decide reasonable + defaults. + form_extraction_params (google.cloud.documentai_v1beta2.types.FormExtractionParams): + Controls form extraction behavior. If not + specified, the system will decide reasonable + defaults. + entity_extraction_params (google.cloud.documentai_v1beta2.types.EntityExtractionParams): + Controls entity extraction behavior. If not + specified, the system will decide reasonable + defaults. + ocr_params (google.cloud.documentai_v1beta2.types.OcrParams): + Controls OCR behavior. If not specified, the + system will decide reasonable defaults. + automl_params (google.cloud.documentai_v1beta2.types.AutoMlParams): + Controls AutoML model prediction behavior. + AutoMlParams cannot be used together with other + Params. + """ + + parent: str = proto.Field( + proto.STRING, + number=9, + ) + input_config: 'InputConfig' = proto.Field( + proto.MESSAGE, + number=1, + message='InputConfig', + ) + output_config: 'OutputConfig' = proto.Field( + proto.MESSAGE, + number=2, + message='OutputConfig', + ) + document_type: str = proto.Field( + proto.STRING, + number=3, + ) + table_extraction_params: 'TableExtractionParams' = proto.Field( + proto.MESSAGE, + number=4, + message='TableExtractionParams', + ) + form_extraction_params: 'FormExtractionParams' = proto.Field( + proto.MESSAGE, + number=5, + message='FormExtractionParams', + ) + entity_extraction_params: 'EntityExtractionParams' = proto.Field( + proto.MESSAGE, + number=6, + message='EntityExtractionParams', + ) + ocr_params: 'OcrParams' = proto.Field( + proto.MESSAGE, + number=7, + message='OcrParams', + ) + automl_params: 'AutoMlParams' = proto.Field( + proto.MESSAGE, + number=8, + message='AutoMlParams', + ) + + +class BatchProcessDocumentsResponse(proto.Message): + r"""Response to an batch document processing request. This is + returned in the LRO Operation after the operation is complete. + + Attributes: + responses (MutableSequence[google.cloud.documentai_v1beta2.types.ProcessDocumentResponse]): + Responses for each individual document. + """ + + responses: MutableSequence['ProcessDocumentResponse'] = proto.RepeatedField( + proto.MESSAGE, + number=1, + message='ProcessDocumentResponse', + ) + + +class ProcessDocumentResponse(proto.Message): + r"""Response to a single document processing request. + + Attributes: + input_config (google.cloud.documentai_v1beta2.types.InputConfig): + Information about the input file. This is the + same as the corresponding input config in the + request. + output_config (google.cloud.documentai_v1beta2.types.OutputConfig): + The output location of the parsed responses. The responses + are written to this location as JSON-serialized ``Document`` + objects. + """ + + input_config: 'InputConfig' = proto.Field( + proto.MESSAGE, + number=1, + message='InputConfig', + ) + output_config: 'OutputConfig' = proto.Field( + proto.MESSAGE, + number=2, + message='OutputConfig', + ) + + +class OcrParams(proto.Message): + r"""Parameters to control Optical Character Recognition (OCR) + behavior. + + Attributes: + language_hints (MutableSequence[str]): + List of languages to use for OCR. In most cases, an empty + value yields the best results since it enables automatic + language detection. For languages based on the Latin + alphabet, setting ``language_hints`` is not needed. In rare + cases, when the language of the text in the image is known, + setting a hint will help get better results (although it + will be a significant hindrance if the hint is wrong). + Document processing returns an error if one or more of the + specified languages is not one of the supported languages. + """ + + language_hints: MutableSequence[str] = proto.RepeatedField( + proto.STRING, + number=1, + ) + + +class TableExtractionParams(proto.Message): + r"""Parameters to control table extraction behavior. + + Attributes: + enabled (bool): + Whether to enable table extraction. + table_bound_hints (MutableSequence[google.cloud.documentai_v1beta2.types.TableBoundHint]): + Optional. Table bounding box hints that can + be provided to complex cases which our algorithm + cannot locate the table(s) in. + header_hints (MutableSequence[str]): + Optional. Reserved for future use. + model_version (str): + Model version of the table extraction system. + Default is "builtin/stable". Specify + "builtin/latest" for the latest model. + """ + + enabled: bool = proto.Field( + proto.BOOL, + number=1, + ) + table_bound_hints: MutableSequence['TableBoundHint'] = proto.RepeatedField( + proto.MESSAGE, + number=2, + message='TableBoundHint', + ) + header_hints: MutableSequence[str] = proto.RepeatedField( + proto.STRING, + number=3, + ) + model_version: str = proto.Field( + proto.STRING, + number=4, + ) + + +class TableBoundHint(proto.Message): + r"""A hint for a table bounding box on the page for table + parsing. + + Attributes: + page_number (int): + Optional. Page number for multi-paged inputs + this hint applies to. If not provided, this hint + will apply to all pages by default. This value + is 1-based. + bounding_box (google.cloud.documentai_v1beta2.types.BoundingPoly): + Bounding box hint for a table on this page. The coordinates + must be normalized to [0,1] and the bounding box must be an + axis-aligned rectangle. + """ + + page_number: int = proto.Field( + proto.INT32, + number=1, + ) + bounding_box: geometry.BoundingPoly = proto.Field( + proto.MESSAGE, + number=2, + message=geometry.BoundingPoly, + ) + + +class FormExtractionParams(proto.Message): + r"""Parameters to control form extraction behavior. + + Attributes: + enabled (bool): + Whether to enable form extraction. + key_value_pair_hints (MutableSequence[google.cloud.documentai_v1beta2.types.KeyValuePairHint]): + Reserved for future use. + model_version (str): + Model version of the form extraction system. Default is + "builtin/stable". Specify "builtin/latest" for the latest + model. For custom form models, specify: + "custom/{model_name}". Model name format is + "bucket_name/path/to/modeldir" corresponding to + "gs://bucket_name/path/to/modeldir" where annotated examples + are stored. + """ + + enabled: bool = proto.Field( + proto.BOOL, + number=1, + ) + key_value_pair_hints: MutableSequence['KeyValuePairHint'] = proto.RepeatedField( + proto.MESSAGE, + number=2, + message='KeyValuePairHint', + ) + model_version: str = proto.Field( + proto.STRING, + number=3, + ) + + +class KeyValuePairHint(proto.Message): + r"""Reserved for future use. + + Attributes: + key (str): + The key text for the hint. + value_types (MutableSequence[str]): + Type of the value. This is case-insensitive, and could be + one of: ADDRESS, LOCATION, ORGANIZATION, PERSON, + PHONE_NUMBER, ID, NUMBER, EMAIL, PRICE, TERMS, DATE, NAME. + Types not in this list will be ignored. + """ + + key: str = proto.Field( + proto.STRING, + number=1, + ) + value_types: MutableSequence[str] = proto.RepeatedField( + proto.STRING, + number=2, + ) + + +class EntityExtractionParams(proto.Message): + r"""Parameters to control entity extraction behavior. + + Attributes: + enabled (bool): + Whether to enable entity extraction. + model_version (str): + Model version of the entity extraction. + Default is "builtin/stable". Specify + "builtin/latest" for the latest model. + """ + + enabled: bool = proto.Field( + proto.BOOL, + number=1, + ) + model_version: str = proto.Field( + proto.STRING, + number=2, + ) + + +class AutoMlParams(proto.Message): + r"""Parameters to control AutoML model prediction behavior. + + Attributes: + model (str): + Resource name of the AutoML model. + + Format: + ``projects/{project-id}/locations/{location-id}/models/{model-id}``. + """ + + model: str = proto.Field( + proto.STRING, + number=1, + ) + + +class InputConfig(proto.Message): + r"""The desired input location and metadata. + + This message has `oneof`_ fields (mutually exclusive fields). + For each oneof, at most one member field can be set at the same time. + Setting any member of the oneof automatically clears all other + members. + + .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields + + Attributes: + gcs_source (google.cloud.documentai_v1beta2.types.GcsSource): + The Google Cloud Storage location to read the + input from. This must be a single file. + + This field is a member of `oneof`_ ``source``. + contents (bytes): + Content in bytes, represented as a stream of bytes. Note: As + with all ``bytes`` fields, proto buffer messages use a pure + binary representation, whereas JSON representations use + base64. + + This field only works for synchronous ProcessDocument + method. + + This field is a member of `oneof`_ ``source``. + mime_type (str): + Required. Mimetype of the input. Current supported mimetypes + are application/pdf, image/tiff, and image/gif. In addition, + application/json type is supported for requests with + [ProcessDocumentRequest.automl_params][google.cloud.documentai.v1beta2.ProcessDocumentRequest.automl_params] + field set. The JSON file needs to be in + [Document][google.cloud.documentai.v1beta2.Document] format. + """ + + gcs_source: 'GcsSource' = proto.Field( + proto.MESSAGE, + number=1, + oneof='source', + message='GcsSource', + ) + contents: bytes = proto.Field( + proto.BYTES, + number=3, + oneof='source', + ) + mime_type: str = proto.Field( + proto.STRING, + number=2, + ) + + +class OutputConfig(proto.Message): + r"""The desired output location and metadata. + + .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields + + Attributes: + gcs_destination (google.cloud.documentai_v1beta2.types.GcsDestination): + The Google Cloud Storage location to write + the output to. + + This field is a member of `oneof`_ ``destination``. + pages_per_shard (int): + The max number of pages to include into each output Document + shard JSON on Google Cloud Storage. + + The valid range is [1, 100]. If not specified, the default + value is 20. + + For example, for one pdf file with 100 pages, 100 parsed + pages will be produced. If ``pages_per_shard`` = 20, then 5 + Document shard JSON files each containing 20 parsed pages + will be written under the prefix + [OutputConfig.gcs_destination.uri][] and suffix + pages-x-to-y.json where x and y are 1-indexed page numbers. + + Example GCS outputs with 157 pages and pages_per_shard = 50: + + pages-001-to-050.json pages-051-to-100.json + pages-101-to-150.json pages-151-to-157.json + """ + + gcs_destination: 'GcsDestination' = proto.Field( + proto.MESSAGE, + number=1, + oneof='destination', + message='GcsDestination', + ) + pages_per_shard: int = proto.Field( + proto.INT32, + number=2, + ) + + +class GcsSource(proto.Message): + r"""The Google Cloud Storage location where the input file will + be read from. + + Attributes: + uri (str): + + """ + + uri: str = proto.Field( + proto.STRING, + number=1, + ) + + +class GcsDestination(proto.Message): + r"""The Google Cloud Storage location where the output file will + be written to. + + Attributes: + uri (str): + + """ + + uri: str = proto.Field( + proto.STRING, + number=1, + ) + + +class OperationMetadata(proto.Message): + r"""Contains metadata for the BatchProcessDocuments operation. + + Attributes: + state (google.cloud.documentai_v1beta2.types.OperationMetadata.State): + The state of the current batch processing. + state_message (str): + A message providing more details about the + current state of processing. + create_time (google.protobuf.timestamp_pb2.Timestamp): + The creation time of the operation. + update_time (google.protobuf.timestamp_pb2.Timestamp): + The last update time of the operation. + """ + class State(proto.Enum): + r""" + + Values: + STATE_UNSPECIFIED (0): + The default value. This value is used if the + state is omitted. + ACCEPTED (1): + Request is received. + WAITING (2): + Request operation is waiting for scheduling. + RUNNING (3): + Request is being processed. + SUCCEEDED (4): + The batch processing completed successfully. + CANCELLED (5): + The batch processing was cancelled. + FAILED (6): + The batch processing has failed. + """ + STATE_UNSPECIFIED = 0 + ACCEPTED = 1 + WAITING = 2 + RUNNING = 3 + SUCCEEDED = 4 + CANCELLED = 5 + FAILED = 6 + + state: State = proto.Field( + proto.ENUM, + number=1, + enum=State, + ) + state_message: str = proto.Field( + proto.STRING, + number=2, + ) + create_time: timestamp_pb2.Timestamp = proto.Field( + proto.MESSAGE, + number=3, + message=timestamp_pb2.Timestamp, + ) + update_time: timestamp_pb2.Timestamp = proto.Field( + proto.MESSAGE, + number=4, + message=timestamp_pb2.Timestamp, + ) + + +__all__ = tuple(sorted(__protobuf__.manifest)) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/types/geometry.py b/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/types/geometry.py new file mode 100644 index 000000000000..f99cd7341634 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/google/cloud/documentai_v1beta2/types/geometry.py @@ -0,0 +1,101 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from __future__ import annotations + +from typing import MutableMapping, MutableSequence + +import proto # type: ignore + + +__protobuf__ = proto.module( + package='google.cloud.documentai.v1beta2', + manifest={ + 'Vertex', + 'NormalizedVertex', + 'BoundingPoly', + }, +) + + +class Vertex(proto.Message): + r"""A vertex represents a 2D point in the image. + NOTE: the vertex coordinates are in the same scale as the + original image. + + Attributes: + x (int): + X coordinate. + y (int): + Y coordinate (starts from the top of the + image). + """ + + x: int = proto.Field( + proto.INT32, + number=1, + ) + y: int = proto.Field( + proto.INT32, + number=2, + ) + + +class NormalizedVertex(proto.Message): + r"""A vertex represents a 2D point in the image. + NOTE: the normalized vertex coordinates are relative to the + original image and range from 0 to 1. + + Attributes: + x (float): + X coordinate. + y (float): + Y coordinate (starts from the top of the + image). + """ + + x: float = proto.Field( + proto.FLOAT, + number=1, + ) + y: float = proto.Field( + proto.FLOAT, + number=2, + ) + + +class BoundingPoly(proto.Message): + r"""A bounding polygon for the detected image annotation. + + Attributes: + vertices (MutableSequence[google.cloud.documentai_v1beta2.types.Vertex]): + The bounding polygon vertices. + normalized_vertices (MutableSequence[google.cloud.documentai_v1beta2.types.NormalizedVertex]): + The bounding polygon normalized vertices. + """ + + vertices: MutableSequence['Vertex'] = proto.RepeatedField( + proto.MESSAGE, + number=1, + message='Vertex', + ) + normalized_vertices: MutableSequence['NormalizedVertex'] = proto.RepeatedField( + proto.MESSAGE, + number=2, + message='NormalizedVertex', + ) + + +__all__ = tuple(sorted(__protobuf__.manifest)) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta2/mypy.ini b/owl-bot-staging/google-cloud-documentai/v1beta2/mypy.ini new file mode 100644 index 000000000000..574c5aed394b --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/mypy.ini @@ -0,0 +1,3 @@ +[mypy] +python_version = 3.7 +namespace_packages = True diff --git a/owl-bot-staging/google-cloud-documentai/v1beta2/noxfile.py b/owl-bot-staging/google-cloud-documentai/v1beta2/noxfile.py new file mode 100644 index 000000000000..6d793e3b9ead --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/noxfile.py @@ -0,0 +1,253 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import os +import pathlib +import re +import shutil +import subprocess +import sys + + +import nox # type: ignore + +ALL_PYTHON = [ + "3.7", + "3.8", + "3.9", + "3.10", + "3.11", + "3.12" +] + +CURRENT_DIRECTORY = pathlib.Path(__file__).parent.absolute() + +LOWER_BOUND_CONSTRAINTS_FILE = CURRENT_DIRECTORY / "constraints.txt" +PACKAGE_NAME = 'google-cloud-documentai' + +BLACK_VERSION = "black==22.3.0" +BLACK_PATHS = ["docs", "google", "tests", "samples", "noxfile.py", "setup.py"] +DEFAULT_PYTHON_VERSION = "3.12" + +nox.sessions = [ + "unit", + "cover", + "mypy", + "check_lower_bounds" + # exclude update_lower_bounds from default + "docs", + "blacken", + "lint", + "prerelease_deps", +] + +@nox.session(python=ALL_PYTHON) +def unit(session): + """Run the unit test suite.""" + + session.install('coverage', 'pytest', 'pytest-cov', 'pytest-asyncio', 'asyncmock; python_version < "3.8"') + session.install('-e', '.') + + session.run( + 'py.test', + '--quiet', + '--cov=google/cloud/documentai_v1beta2/', + '--cov=tests/', + '--cov-config=.coveragerc', + '--cov-report=term', + '--cov-report=html', + os.path.join('tests', 'unit', ''.join(session.posargs)) + ) + +@nox.session(python=ALL_PYTHON[-1]) +def prerelease_deps(session): + """Run the unit test suite against pre-release versions of dependencies.""" + + # Install test environment dependencies + session.install('coverage', 'pytest', 'pytest-cov', 'pytest-asyncio', 'asyncmock; python_version < "3.8"') + + # Install the package without dependencies + session.install('-e', '.', '--no-deps') + + # We test the minimum dependency versions using the minimum Python + # version so the lowest python runtime that we test has a corresponding constraints + # file, located at `testing/constraints--.txt`, which contains all of the + # dependencies and extras. + with open( + CURRENT_DIRECTORY + / "testing" + / f"constraints-{ALL_PYTHON[0]}.txt", + encoding="utf-8", + ) as constraints_file: + constraints_text = constraints_file.read() + + # Ignore leading whitespace and comment lines. + constraints_deps = [ + match.group(1) + for match in re.finditer( + r"^\s*(\S+)(?===\S+)", constraints_text, flags=re.MULTILINE + ) + ] + + session.install(*constraints_deps) + + prerel_deps = [ + "googleapis-common-protos", + "google-api-core", + "google-auth", + "grpcio", + "grpcio-status", + "protobuf", + "proto-plus", + ] + + for dep in prerel_deps: + session.install("--pre", "--no-deps", "--upgrade", dep) + + # Remaining dependencies + other_deps = [ + "requests", + ] + session.install(*other_deps) + + # Print out prerelease package versions + + session.run("python", "-c", "import google.api_core; print(google.api_core.__version__)") + session.run("python", "-c", "import google.auth; print(google.auth.__version__)") + session.run("python", "-c", "import grpc; print(grpc.__version__)") + session.run( + "python", "-c", "import google.protobuf; print(google.protobuf.__version__)" + ) + session.run( + "python", "-c", "import proto; print(proto.__version__)" + ) + + session.run( + 'py.test', + '--quiet', + '--cov=google/cloud/documentai_v1beta2/', + '--cov=tests/', + '--cov-config=.coveragerc', + '--cov-report=term', + '--cov-report=html', + os.path.join('tests', 'unit', ''.join(session.posargs)) + ) + + +@nox.session(python=DEFAULT_PYTHON_VERSION) +def cover(session): + """Run the final coverage report. + This outputs the coverage report aggregating coverage from the unit + test runs (not system test runs), and then erases coverage data. + """ + session.install("coverage", "pytest-cov") + session.run("coverage", "report", "--show-missing", "--fail-under=100") + + session.run("coverage", "erase") + + +@nox.session(python=ALL_PYTHON) +def mypy(session): + """Run the type checker.""" + session.install( + 'mypy', + 'types-requests', + 'types-protobuf' + ) + session.install('.') + session.run( + 'mypy', + '-p', + 'google', + ) + + +@nox.session +def update_lower_bounds(session): + """Update lower bounds in constraints.txt to match setup.py""" + session.install('google-cloud-testutils') + session.install('.') + + session.run( + 'lower-bound-checker', + 'update', + '--package-name', + PACKAGE_NAME, + '--constraints-file', + str(LOWER_BOUND_CONSTRAINTS_FILE), + ) + + +@nox.session +def check_lower_bounds(session): + """Check lower bounds in setup.py are reflected in constraints file""" + session.install('google-cloud-testutils') + session.install('.') + + session.run( + 'lower-bound-checker', + 'check', + '--package-name', + PACKAGE_NAME, + '--constraints-file', + str(LOWER_BOUND_CONSTRAINTS_FILE), + ) + +@nox.session(python=DEFAULT_PYTHON_VERSION) +def docs(session): + """Build the docs for this library.""" + + session.install("-e", ".") + session.install("sphinx==7.0.1", "alabaster", "recommonmark") + + shutil.rmtree(os.path.join("docs", "_build"), ignore_errors=True) + session.run( + "sphinx-build", + "-W", # warnings as errors + "-T", # show full traceback on exception + "-N", # no colors + "-b", + "html", + "-d", + os.path.join("docs", "_build", "doctrees", ""), + os.path.join("docs", ""), + os.path.join("docs", "_build", "html", ""), + ) + + +@nox.session(python=DEFAULT_PYTHON_VERSION) +def lint(session): + """Run linters. + + Returns a failure if the linters find linting errors or sufficiently + serious code quality issues. + """ + session.install("flake8", BLACK_VERSION) + session.run( + "black", + "--check", + *BLACK_PATHS, + ) + session.run("flake8", "google", "tests", "samples") + + +@nox.session(python=DEFAULT_PYTHON_VERSION) +def blacken(session): + """Run black. Format code to uniform standard.""" + session.install(BLACK_VERSION) + session.run( + "black", + *BLACK_PATHS, + ) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta2/samples/generated_samples/documentai_v1beta2_generated_document_understanding_service_batch_process_documents_async.py b/owl-bot-staging/google-cloud-documentai/v1beta2/samples/generated_samples/documentai_v1beta2_generated_document_understanding_service_batch_process_documents_async.py new file mode 100644 index 000000000000..460ca2fce376 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/samples/generated_samples/documentai_v1beta2_generated_document_understanding_service_batch_process_documents_async.py @@ -0,0 +1,60 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for BatchProcessDocuments +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta2_generated_DocumentUnderstandingService_BatchProcessDocuments_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta2 + + +async def sample_batch_process_documents(): + # Create a client + client = documentai_v1beta2.DocumentUnderstandingServiceAsyncClient() + + # Initialize request argument(s) + requests = documentai_v1beta2.ProcessDocumentRequest() + requests.input_config.gcs_source.uri = "uri_value" + requests.input_config.mime_type = "mime_type_value" + + request = documentai_v1beta2.BatchProcessDocumentsRequest( + requests=requests, + ) + + # Make the request + operation = client.batch_process_documents(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + +# [END documentai_v1beta2_generated_DocumentUnderstandingService_BatchProcessDocuments_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta2/samples/generated_samples/documentai_v1beta2_generated_document_understanding_service_batch_process_documents_sync.py b/owl-bot-staging/google-cloud-documentai/v1beta2/samples/generated_samples/documentai_v1beta2_generated_document_understanding_service_batch_process_documents_sync.py new file mode 100644 index 000000000000..b381b928b678 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/samples/generated_samples/documentai_v1beta2_generated_document_understanding_service_batch_process_documents_sync.py @@ -0,0 +1,60 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for BatchProcessDocuments +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta2_generated_DocumentUnderstandingService_BatchProcessDocuments_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta2 + + +def sample_batch_process_documents(): + # Create a client + client = documentai_v1beta2.DocumentUnderstandingServiceClient() + + # Initialize request argument(s) + requests = documentai_v1beta2.ProcessDocumentRequest() + requests.input_config.gcs_source.uri = "uri_value" + requests.input_config.mime_type = "mime_type_value" + + request = documentai_v1beta2.BatchProcessDocumentsRequest( + requests=requests, + ) + + # Make the request + operation = client.batch_process_documents(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + +# [END documentai_v1beta2_generated_DocumentUnderstandingService_BatchProcessDocuments_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta2/samples/generated_samples/documentai_v1beta2_generated_document_understanding_service_process_document_async.py b/owl-bot-staging/google-cloud-documentai/v1beta2/samples/generated_samples/documentai_v1beta2_generated_document_understanding_service_process_document_async.py new file mode 100644 index 000000000000..54eef08269df --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/samples/generated_samples/documentai_v1beta2_generated_document_understanding_service_process_document_async.py @@ -0,0 +1,56 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ProcessDocument +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta2_generated_DocumentUnderstandingService_ProcessDocument_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta2 + + +async def sample_process_document(): + # Create a client + client = documentai_v1beta2.DocumentUnderstandingServiceAsyncClient() + + # Initialize request argument(s) + input_config = documentai_v1beta2.InputConfig() + input_config.gcs_source.uri = "uri_value" + input_config.mime_type = "mime_type_value" + + request = documentai_v1beta2.ProcessDocumentRequest( + input_config=input_config, + ) + + # Make the request + response = await client.process_document(request=request) + + # Handle the response + print(response) + +# [END documentai_v1beta2_generated_DocumentUnderstandingService_ProcessDocument_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta2/samples/generated_samples/documentai_v1beta2_generated_document_understanding_service_process_document_sync.py b/owl-bot-staging/google-cloud-documentai/v1beta2/samples/generated_samples/documentai_v1beta2_generated_document_understanding_service_process_document_sync.py new file mode 100644 index 000000000000..f81a39312de1 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/samples/generated_samples/documentai_v1beta2_generated_document_understanding_service_process_document_sync.py @@ -0,0 +1,56 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ProcessDocument +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta2_generated_DocumentUnderstandingService_ProcessDocument_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta2 + + +def sample_process_document(): + # Create a client + client = documentai_v1beta2.DocumentUnderstandingServiceClient() + + # Initialize request argument(s) + input_config = documentai_v1beta2.InputConfig() + input_config.gcs_source.uri = "uri_value" + input_config.mime_type = "mime_type_value" + + request = documentai_v1beta2.ProcessDocumentRequest( + input_config=input_config, + ) + + # Make the request + response = client.process_document(request=request) + + # Handle the response + print(response) + +# [END documentai_v1beta2_generated_DocumentUnderstandingService_ProcessDocument_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta2/samples/generated_samples/snippet_metadata_google.cloud.documentai.v1beta2.json b/owl-bot-staging/google-cloud-documentai/v1beta2/samples/generated_samples/snippet_metadata_google.cloud.documentai.v1beta2.json new file mode 100644 index 000000000000..ef56bd7e3eb3 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/samples/generated_samples/snippet_metadata_google.cloud.documentai.v1beta2.json @@ -0,0 +1,329 @@ +{ + "clientLibrary": { + "apis": [ + { + "id": 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a/owl-bot-staging/google-cloud-documentai/v1beta2/scripts/fixup_documentai_v1beta2_keywords.py b/owl-bot-staging/google-cloud-documentai/v1beta2/scripts/fixup_documentai_v1beta2_keywords.py new file mode 100644 index 000000000000..f49c705fd83e --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/scripts/fixup_documentai_v1beta2_keywords.py @@ -0,0 +1,177 @@ +#! /usr/bin/env python3 +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import argparse +import os +import libcst as cst +import pathlib +import sys +from typing import (Any, Callable, Dict, List, Sequence, Tuple) + + +def partition( + predicate: Callable[[Any], bool], + iterator: Sequence[Any] +) -> Tuple[List[Any], List[Any]]: + """A stable, out-of-place partition.""" + results = ([], []) + + for i in iterator: + results[int(predicate(i))].append(i) + + # Returns trueList, falseList + return results[1], results[0] + + +class documentaiCallTransformer(cst.CSTTransformer): + CTRL_PARAMS: Tuple[str] = ('retry', 'timeout', 'metadata') + METHOD_TO_PARAMS: Dict[str, Tuple[str]] = { + 'batch_process_documents': ('requests', 'parent', ), + 'process_document': ('input_config', 'parent', 'output_config', 'document_type', 'table_extraction_params', 'form_extraction_params', 'entity_extraction_params', 'ocr_params', 'automl_params', ), + } + + def leave_Call(self, original: cst.Call, updated: cst.Call) -> cst.CSTNode: + try: + key = original.func.attr.value + kword_params = self.METHOD_TO_PARAMS[key] + except (AttributeError, KeyError): + # Either not a method from the API or too convoluted to be sure. + return updated + + # If the existing code is valid, keyword args come after positional args. + # Therefore, all positional args must map to the first parameters. + args, kwargs = partition(lambda a: not bool(a.keyword), updated.args) + if any(k.keyword.value == "request" for k in kwargs): + # We've already fixed this file, don't fix it again. + return updated + + kwargs, ctrl_kwargs = partition( + lambda a: a.keyword.value not in self.CTRL_PARAMS, + kwargs + ) + + args, ctrl_args = args[:len(kword_params)], args[len(kword_params):] + ctrl_kwargs.extend(cst.Arg(value=a.value, keyword=cst.Name(value=ctrl)) + for a, ctrl in zip(ctrl_args, self.CTRL_PARAMS)) + + request_arg = cst.Arg( + value=cst.Dict([ + cst.DictElement( + cst.SimpleString("'{}'".format(name)), +cst.Element(value=arg.value) + ) + # Note: the args + kwargs looks silly, but keep in mind that + # the control parameters had to be stripped out, and that + # those could have been passed positionally or by keyword. + for name, arg in zip(kword_params, args + kwargs)]), + keyword=cst.Name("request") + ) + + return updated.with_changes( + args=[request_arg] + ctrl_kwargs + ) + + +def fix_files( + in_dir: pathlib.Path, + out_dir: pathlib.Path, + *, + transformer=documentaiCallTransformer(), +): + """Duplicate the input dir to the output dir, fixing file method calls. + + Preconditions: + * in_dir is a real directory + * out_dir is a real, empty directory + """ + pyfile_gen = ( + pathlib.Path(os.path.join(root, f)) + for root, _, files in os.walk(in_dir) + for f in files if os.path.splitext(f)[1] == ".py" + ) + + for fpath in pyfile_gen: + with open(fpath, 'r') as f: + src = f.read() + + # Parse the code and insert method call fixes. + tree = cst.parse_module(src) + updated = tree.visit(transformer) + + # Create the path and directory structure for the new file. + updated_path = out_dir.joinpath(fpath.relative_to(in_dir)) + updated_path.parent.mkdir(parents=True, exist_ok=True) + + # Generate the updated source file at the corresponding path. + with open(updated_path, 'w') as f: + f.write(updated.code) + + +if __name__ == '__main__': + parser = argparse.ArgumentParser( + description="""Fix up source that uses the documentai client library. + +The existing sources are NOT overwritten but are copied to output_dir with changes made. + +Note: This tool operates at a best-effort level at converting positional + parameters in client method calls to keyword based parameters. + Cases where it WILL FAIL include + A) * or ** expansion in a method call. + B) Calls via function or method alias (includes free function calls) + C) Indirect or dispatched calls (e.g. the method is looked up dynamically) + + These all constitute false negatives. The tool will also detect false + positives when an API method shares a name with another method. +""") + parser.add_argument( + '-d', + '--input-directory', + required=True, + dest='input_dir', + help='the input directory to walk for python files to fix up', + ) + parser.add_argument( + '-o', + '--output-directory', + required=True, + dest='output_dir', + help='the directory to output files fixed via un-flattening', + ) + args = parser.parse_args() + input_dir = pathlib.Path(args.input_dir) + output_dir = pathlib.Path(args.output_dir) + if not input_dir.is_dir(): + print( + f"input directory '{input_dir}' does not exist or is not a directory", + file=sys.stderr, + ) + sys.exit(-1) + + if not output_dir.is_dir(): + print( + f"output directory '{output_dir}' does not exist or is not a directory", + file=sys.stderr, + ) + sys.exit(-1) + + if os.listdir(output_dir): + print( + f"output directory '{output_dir}' is not empty", + file=sys.stderr, + ) + sys.exit(-1) + + fix_files(input_dir, output_dir) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta2/setup.py b/owl-bot-staging/google-cloud-documentai/v1beta2/setup.py new file mode 100644 index 000000000000..11e72a1d001b --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/setup.py @@ -0,0 +1,93 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import io +import os +import re + +import setuptools # type: ignore + +package_root = os.path.abspath(os.path.dirname(__file__)) + +name = 'google-cloud-documentai' + + +description = "Google Cloud Documentai API client library" + +version = None + +with open(os.path.join(package_root, 'google/cloud/documentai/gapic_version.py')) as fp: + version_candidates = re.findall(r"(?<=\")\d+.\d+.\d+(?=\")", fp.read()) + assert (len(version_candidates) == 1) + version = version_candidates[0] + +if version[0] == "0": + release_status = "Development Status :: 4 - Beta" +else: + release_status = "Development Status :: 5 - Production/Stable" + +dependencies = [ + "google-api-core[grpc] >= 1.34.1, <3.0.0dev,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,!=2.7.*,!=2.8.*,!=2.9.*,!=2.10.*", + # Exclude incompatible versions of `google-auth` + # See https://github.com/googleapis/google-cloud-python/issues/12364 + "google-auth >= 2.14.1, <3.0.0dev,!=2.24.0,!=2.25.0", + "proto-plus >= 1.22.3, <2.0.0dev", + "protobuf>=3.19.5,<5.0.0dev,!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5", +] +url = "https://github.com/googleapis/google-cloud-python/tree/main/packages/google-cloud-documentai" + +package_root = os.path.abspath(os.path.dirname(__file__)) + +readme_filename = os.path.join(package_root, "README.rst") +with io.open(readme_filename, encoding="utf-8") as readme_file: + readme = readme_file.read() + +packages = [ + package + for package in setuptools.find_namespace_packages() + if package.startswith("google") +] + +setuptools.setup( + name=name, + version=version, + description=description, + long_description=readme, + author="Google LLC", + author_email="googleapis-packages@google.com", + license="Apache 2.0", + url=url, + classifiers=[ + release_status, + "Intended Audience :: Developers", + "License :: OSI Approved :: Apache Software License", + "Programming Language :: Python", + "Programming Language :: Python :: 3", + "Programming Language :: Python :: 3.7", + "Programming Language :: Python :: 3.8", + "Programming Language :: Python :: 3.9", + "Programming Language :: Python :: 3.10", + "Programming Language :: Python :: 3.11", + "Programming Language :: Python :: 3.12", + "Operating System :: OS Independent", + "Topic :: Internet", + ], + platforms="Posix; MacOS X; Windows", + packages=packages, + python_requires=">=3.7", + install_requires=dependencies, + include_package_data=True, + zip_safe=False, +) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta2/testing/constraints-3.10.txt b/owl-bot-staging/google-cloud-documentai/v1beta2/testing/constraints-3.10.txt new file mode 100644 index 000000000000..ed7f9aed2559 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/testing/constraints-3.10.txt @@ -0,0 +1,6 @@ +# -*- coding: utf-8 -*- +# This constraints file is required for unit tests. +# List all library dependencies and extras in this file. +google-api-core +proto-plus +protobuf diff --git a/owl-bot-staging/google-cloud-documentai/v1beta2/testing/constraints-3.11.txt b/owl-bot-staging/google-cloud-documentai/v1beta2/testing/constraints-3.11.txt new file mode 100644 index 000000000000..ed7f9aed2559 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/testing/constraints-3.11.txt @@ -0,0 +1,6 @@ +# -*- coding: utf-8 -*- +# This constraints file is required for unit tests. +# List all library dependencies and extras in this file. +google-api-core +proto-plus +protobuf diff --git a/owl-bot-staging/google-cloud-documentai/v1beta2/testing/constraints-3.12.txt b/owl-bot-staging/google-cloud-documentai/v1beta2/testing/constraints-3.12.txt new file mode 100644 index 000000000000..ed7f9aed2559 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/testing/constraints-3.12.txt @@ -0,0 +1,6 @@ +# -*- coding: utf-8 -*- +# This constraints file is required for unit tests. +# List all library dependencies and extras in this file. +google-api-core +proto-plus +protobuf diff --git a/owl-bot-staging/google-cloud-documentai/v1beta2/testing/constraints-3.7.txt b/owl-bot-staging/google-cloud-documentai/v1beta2/testing/constraints-3.7.txt new file mode 100644 index 000000000000..b8a550c73855 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/testing/constraints-3.7.txt @@ -0,0 +1,10 @@ +# This constraints file is used to check that lower bounds +# are correct in setup.py +# List all library dependencies and extras in this file. +# Pin the version to the lower bound. +# e.g., if setup.py has "google-cloud-foo >= 1.14.0, < 2.0.0dev", +# Then this file should have google-cloud-foo==1.14.0 +google-api-core==1.34.1 +google-auth==2.14.1 +proto-plus==1.22.3 +protobuf==3.19.5 diff --git a/owl-bot-staging/google-cloud-documentai/v1beta2/testing/constraints-3.8.txt b/owl-bot-staging/google-cloud-documentai/v1beta2/testing/constraints-3.8.txt new file mode 100644 index 000000000000..ed7f9aed2559 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/testing/constraints-3.8.txt @@ -0,0 +1,6 @@ +# -*- coding: utf-8 -*- +# This constraints file is required for unit tests. +# List all library dependencies and extras in this file. +google-api-core +proto-plus +protobuf diff --git a/owl-bot-staging/google-cloud-documentai/v1beta2/testing/constraints-3.9.txt b/owl-bot-staging/google-cloud-documentai/v1beta2/testing/constraints-3.9.txt new file mode 100644 index 000000000000..ed7f9aed2559 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/testing/constraints-3.9.txt @@ -0,0 +1,6 @@ +# -*- coding: utf-8 -*- +# This constraints file is required for unit tests. +# List all library dependencies and extras in this file. +google-api-core +proto-plus +protobuf diff --git a/owl-bot-staging/google-cloud-documentai/v1beta2/tests/__init__.py b/owl-bot-staging/google-cloud-documentai/v1beta2/tests/__init__.py new file mode 100644 index 000000000000..7b3de3117f38 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/tests/__init__.py @@ -0,0 +1,16 @@ + +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# diff --git a/owl-bot-staging/google-cloud-documentai/v1beta2/tests/unit/__init__.py b/owl-bot-staging/google-cloud-documentai/v1beta2/tests/unit/__init__.py new file mode 100644 index 000000000000..7b3de3117f38 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/tests/unit/__init__.py @@ -0,0 +1,16 @@ + +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# diff --git a/owl-bot-staging/google-cloud-documentai/v1beta2/tests/unit/gapic/__init__.py b/owl-bot-staging/google-cloud-documentai/v1beta2/tests/unit/gapic/__init__.py new file mode 100644 index 000000000000..7b3de3117f38 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/tests/unit/gapic/__init__.py @@ -0,0 +1,16 @@ + +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# diff --git a/owl-bot-staging/google-cloud-documentai/v1beta2/tests/unit/gapic/documentai_v1beta2/__init__.py b/owl-bot-staging/google-cloud-documentai/v1beta2/tests/unit/gapic/documentai_v1beta2/__init__.py new file mode 100644 index 000000000000..7b3de3117f38 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/tests/unit/gapic/documentai_v1beta2/__init__.py @@ -0,0 +1,16 @@ + +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# diff --git a/owl-bot-staging/google-cloud-documentai/v1beta2/tests/unit/gapic/documentai_v1beta2/test_document_understanding_service.py b/owl-bot-staging/google-cloud-documentai/v1beta2/tests/unit/gapic/documentai_v1beta2/test_document_understanding_service.py new file mode 100644 index 000000000000..43626a405c34 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta2/tests/unit/gapic/documentai_v1beta2/test_document_understanding_service.py @@ -0,0 +1,2437 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import os +# try/except added for compatibility with python < 3.8 +try: + from unittest import mock + from unittest.mock import AsyncMock # pragma: NO COVER +except ImportError: # pragma: NO COVER + import mock + +import grpc +from grpc.experimental import aio +import math +import pytest +from google.api_core import api_core_version +from proto.marshal.rules.dates import DurationRule, TimestampRule +from proto.marshal.rules import wrappers + +from google.api_core import client_options +from google.api_core import exceptions as core_exceptions +from google.api_core import future +from google.api_core import gapic_v1 +from google.api_core import grpc_helpers +from google.api_core import grpc_helpers_async +from google.api_core import operation +from google.api_core import operation_async # type: ignore +from google.api_core import operations_v1 +from google.api_core import path_template +from google.auth import credentials as ga_credentials +from google.auth.exceptions import MutualTLSChannelError +from google.cloud.documentai_v1beta2.services.document_understanding_service import DocumentUnderstandingServiceAsyncClient +from google.cloud.documentai_v1beta2.services.document_understanding_service import DocumentUnderstandingServiceClient +from google.cloud.documentai_v1beta2.services.document_understanding_service import transports +from google.cloud.documentai_v1beta2.types import document +from google.cloud.documentai_v1beta2.types import document_understanding +from google.cloud.documentai_v1beta2.types import geometry +from google.cloud.location import locations_pb2 +from google.longrunning import operations_pb2 # type: ignore +from google.oauth2 import service_account +from google.rpc import status_pb2 # type: ignore +import google.auth + + +def client_cert_source_callback(): + return b"cert bytes", b"key bytes" + +# If default endpoint is localhost, then default mtls endpoint will be the same. +# This method modifies the default endpoint so the client can produce a different +# mtls endpoint for endpoint testing purposes. +def modify_default_endpoint(client): + return "foo.googleapis.com" if ("localhost" in client.DEFAULT_ENDPOINT) else client.DEFAULT_ENDPOINT + +# If default endpoint template is localhost, then default mtls endpoint will be the same. +# This method modifies the default endpoint template so the client can produce a different +# mtls endpoint for endpoint testing purposes. +def modify_default_endpoint_template(client): + return "test.{UNIVERSE_DOMAIN}" if ("localhost" in client._DEFAULT_ENDPOINT_TEMPLATE) else client._DEFAULT_ENDPOINT_TEMPLATE + + +def test__get_default_mtls_endpoint(): + api_endpoint = "example.googleapis.com" + api_mtls_endpoint = "example.mtls.googleapis.com" + sandbox_endpoint = "example.sandbox.googleapis.com" + sandbox_mtls_endpoint = "example.mtls.sandbox.googleapis.com" + non_googleapi = "api.example.com" + + assert DocumentUnderstandingServiceClient._get_default_mtls_endpoint(None) is None + assert DocumentUnderstandingServiceClient._get_default_mtls_endpoint(api_endpoint) == api_mtls_endpoint + assert DocumentUnderstandingServiceClient._get_default_mtls_endpoint(api_mtls_endpoint) == api_mtls_endpoint + assert DocumentUnderstandingServiceClient._get_default_mtls_endpoint(sandbox_endpoint) == sandbox_mtls_endpoint + assert DocumentUnderstandingServiceClient._get_default_mtls_endpoint(sandbox_mtls_endpoint) == sandbox_mtls_endpoint + assert DocumentUnderstandingServiceClient._get_default_mtls_endpoint(non_googleapi) == non_googleapi + +def test__read_environment_variables(): + assert DocumentUnderstandingServiceClient._read_environment_variables() == (False, "auto", None) + + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): + assert DocumentUnderstandingServiceClient._read_environment_variables() == (True, "auto", None) + + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "false"}): + assert DocumentUnderstandingServiceClient._read_environment_variables() == (False, "auto", None) + + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}): + with pytest.raises(ValueError) as excinfo: + DocumentUnderstandingServiceClient._read_environment_variables() + assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`" + + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}): + assert DocumentUnderstandingServiceClient._read_environment_variables() == (False, "never", None) + + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}): + assert DocumentUnderstandingServiceClient._read_environment_variables() == (False, "always", None) + + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"}): + assert DocumentUnderstandingServiceClient._read_environment_variables() == (False, "auto", None) + + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}): + with pytest.raises(MutualTLSChannelError) as excinfo: + DocumentUnderstandingServiceClient._read_environment_variables() + assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + + with mock.patch.dict(os.environ, {"GOOGLE_CLOUD_UNIVERSE_DOMAIN": "foo.com"}): + assert DocumentUnderstandingServiceClient._read_environment_variables() == (False, "auto", "foo.com") + +def test__get_client_cert_source(): + mock_provided_cert_source = mock.Mock() + mock_default_cert_source = mock.Mock() + + assert DocumentUnderstandingServiceClient._get_client_cert_source(None, False) is None + assert DocumentUnderstandingServiceClient._get_client_cert_source(mock_provided_cert_source, False) is None + assert DocumentUnderstandingServiceClient._get_client_cert_source(mock_provided_cert_source, True) == mock_provided_cert_source + + with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True): + with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=mock_default_cert_source): + assert DocumentUnderstandingServiceClient._get_client_cert_source(None, True) is mock_default_cert_source + assert DocumentUnderstandingServiceClient._get_client_cert_source(mock_provided_cert_source, "true") is mock_provided_cert_source + +@mock.patch.object(DocumentUnderstandingServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DocumentUnderstandingServiceClient)) +@mock.patch.object(DocumentUnderstandingServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DocumentUnderstandingServiceAsyncClient)) +def test__get_api_endpoint(): + api_override = "foo.com" + mock_client_cert_source = mock.Mock() + default_universe = DocumentUnderstandingServiceClient._DEFAULT_UNIVERSE + default_endpoint = DocumentUnderstandingServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=default_universe) + mock_universe = "bar.com" + mock_endpoint = DocumentUnderstandingServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=mock_universe) + + assert DocumentUnderstandingServiceClient._get_api_endpoint(api_override, mock_client_cert_source, default_universe, "always") == api_override + assert DocumentUnderstandingServiceClient._get_api_endpoint(None, mock_client_cert_source, default_universe, "auto") == DocumentUnderstandingServiceClient.DEFAULT_MTLS_ENDPOINT + assert DocumentUnderstandingServiceClient._get_api_endpoint(None, None, default_universe, "auto") == default_endpoint + assert DocumentUnderstandingServiceClient._get_api_endpoint(None, None, default_universe, "always") == DocumentUnderstandingServiceClient.DEFAULT_MTLS_ENDPOINT + assert DocumentUnderstandingServiceClient._get_api_endpoint(None, mock_client_cert_source, default_universe, "always") == DocumentUnderstandingServiceClient.DEFAULT_MTLS_ENDPOINT + assert DocumentUnderstandingServiceClient._get_api_endpoint(None, None, mock_universe, "never") == mock_endpoint + assert DocumentUnderstandingServiceClient._get_api_endpoint(None, None, default_universe, "never") == default_endpoint + + with pytest.raises(MutualTLSChannelError) as excinfo: + DocumentUnderstandingServiceClient._get_api_endpoint(None, mock_client_cert_source, mock_universe, "auto") + assert str(excinfo.value) == "mTLS is not supported in any universe other than googleapis.com." + +def test__get_universe_domain(): + client_universe_domain = "foo.com" + universe_domain_env = "bar.com" + + assert DocumentUnderstandingServiceClient._get_universe_domain(client_universe_domain, universe_domain_env) == client_universe_domain + assert DocumentUnderstandingServiceClient._get_universe_domain(None, universe_domain_env) == universe_domain_env + assert DocumentUnderstandingServiceClient._get_universe_domain(None, None) == DocumentUnderstandingServiceClient._DEFAULT_UNIVERSE + + with pytest.raises(ValueError) as excinfo: + DocumentUnderstandingServiceClient._get_universe_domain("", None) + assert str(excinfo.value) == "Universe Domain cannot be an empty string." + +@pytest.mark.parametrize("client_class,transport_class,transport_name", [ + (DocumentUnderstandingServiceClient, transports.DocumentUnderstandingServiceGrpcTransport, "grpc"), +]) +def test__validate_universe_domain(client_class, transport_class, transport_name): + client = client_class( + transport=transport_class( + credentials=ga_credentials.AnonymousCredentials() + ) + ) + assert client._validate_universe_domain() == True + + # Test the case when universe is already validated. + assert client._validate_universe_domain() == True + + if transport_name == "grpc": + # Test the case where credentials are provided by the + # `local_channel_credentials`. The default universes in both match. + channel = grpc.secure_channel('http://localhost/', grpc.local_channel_credentials()) + client = client_class(transport=transport_class(channel=channel)) + assert client._validate_universe_domain() == True + + # Test the case where credentials do not exist: e.g. a transport is provided + # with no credentials. Validation should still succeed because there is no + # mismatch with non-existent credentials. + channel = grpc.secure_channel('http://localhost/', grpc.local_channel_credentials()) + transport=transport_class(channel=channel) + transport._credentials = None + client = client_class(transport=transport) + assert client._validate_universe_domain() == True + + # TODO: This is needed to cater for older versions of google-auth + # Make this test unconditional once the minimum supported version of + # google-auth becomes 2.23.0 or higher. + google_auth_major, google_auth_minor = [int(part) for part in google.auth.__version__.split(".")[0:2]] + if google_auth_major > 2 or (google_auth_major == 2 and google_auth_minor >= 23): + credentials = ga_credentials.AnonymousCredentials() + credentials._universe_domain = "foo.com" + # Test the case when there is a universe mismatch from the credentials. + client = client_class( + transport=transport_class(credentials=credentials) + ) + with pytest.raises(ValueError) as excinfo: + client._validate_universe_domain() + assert str(excinfo.value) == "The configured universe domain (googleapis.com) does not match the universe domain found in the credentials (foo.com). If you haven't configured the universe domain explicitly, `googleapis.com` is the default." + + # Test the case when there is a universe mismatch from the client. + # + # TODO: Make this test unconditional once the minimum supported version of + # google-api-core becomes 2.15.0 or higher. + api_core_major, api_core_minor = [int(part) for part in api_core_version.__version__.split(".")[0:2]] + if api_core_major > 2 or (api_core_major == 2 and api_core_minor >= 15): + client = client_class(client_options={"universe_domain": "bar.com"}, transport=transport_class(credentials=ga_credentials.AnonymousCredentials(),)) + with pytest.raises(ValueError) as excinfo: + client._validate_universe_domain() + assert str(excinfo.value) == "The configured universe domain (bar.com) does not match the universe domain found in the credentials (googleapis.com). If you haven't configured the universe domain explicitly, `googleapis.com` is the default." + + # Test that ValueError is raised if universe_domain is provided via client options and credentials is None + with pytest.raises(ValueError): + client._compare_universes("foo.bar", None) + + +@pytest.mark.parametrize("client_class,transport_name", [ + (DocumentUnderstandingServiceClient, "grpc"), + (DocumentUnderstandingServiceAsyncClient, "grpc_asyncio"), +]) +def test_document_understanding_service_client_from_service_account_info(client_class, transport_name): + creds = ga_credentials.AnonymousCredentials() + with mock.patch.object(service_account.Credentials, 'from_service_account_info') as factory: + factory.return_value = creds + info = {"valid": True} + client = client_class.from_service_account_info(info, transport=transport_name) + assert client.transport._credentials == creds + assert isinstance(client, client_class) + + assert client.transport._host == ( + 'documentai.googleapis.com:443' + ) + + +@pytest.mark.parametrize("transport_class,transport_name", [ + (transports.DocumentUnderstandingServiceGrpcTransport, "grpc"), + (transports.DocumentUnderstandingServiceGrpcAsyncIOTransport, "grpc_asyncio"), +]) +def test_document_understanding_service_client_service_account_always_use_jwt(transport_class, transport_name): + with mock.patch.object(service_account.Credentials, 'with_always_use_jwt_access', create=True) as use_jwt: + creds = service_account.Credentials(None, None, None) + transport = transport_class(credentials=creds, always_use_jwt_access=True) + use_jwt.assert_called_once_with(True) + + with mock.patch.object(service_account.Credentials, 'with_always_use_jwt_access', create=True) as use_jwt: + creds = service_account.Credentials(None, None, None) + transport = transport_class(credentials=creds, always_use_jwt_access=False) + use_jwt.assert_not_called() + + +@pytest.mark.parametrize("client_class,transport_name", [ + (DocumentUnderstandingServiceClient, "grpc"), + (DocumentUnderstandingServiceAsyncClient, "grpc_asyncio"), +]) +def test_document_understanding_service_client_from_service_account_file(client_class, transport_name): + creds = ga_credentials.AnonymousCredentials() + with mock.patch.object(service_account.Credentials, 'from_service_account_file') as factory: + factory.return_value = creds + client = client_class.from_service_account_file("dummy/file/path.json", transport=transport_name) + assert client.transport._credentials == creds + assert isinstance(client, client_class) + + client = client_class.from_service_account_json("dummy/file/path.json", transport=transport_name) + assert client.transport._credentials == creds + assert isinstance(client, client_class) + + assert client.transport._host == ( + 'documentai.googleapis.com:443' + ) + + +def test_document_understanding_service_client_get_transport_class(): + transport = DocumentUnderstandingServiceClient.get_transport_class() + available_transports = [ + transports.DocumentUnderstandingServiceGrpcTransport, + ] + assert transport in available_transports + + transport = DocumentUnderstandingServiceClient.get_transport_class("grpc") + assert transport == transports.DocumentUnderstandingServiceGrpcTransport + + +@pytest.mark.parametrize("client_class,transport_class,transport_name", [ + (DocumentUnderstandingServiceClient, transports.DocumentUnderstandingServiceGrpcTransport, "grpc"), + (DocumentUnderstandingServiceAsyncClient, transports.DocumentUnderstandingServiceGrpcAsyncIOTransport, "grpc_asyncio"), +]) +@mock.patch.object(DocumentUnderstandingServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DocumentUnderstandingServiceClient)) +@mock.patch.object(DocumentUnderstandingServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DocumentUnderstandingServiceAsyncClient)) +def test_document_understanding_service_client_client_options(client_class, transport_class, transport_name): + # Check that if channel is provided we won't create a new one. + with mock.patch.object(DocumentUnderstandingServiceClient, 'get_transport_class') as gtc: + transport = transport_class( + credentials=ga_credentials.AnonymousCredentials() + ) + client = client_class(transport=transport) + gtc.assert_not_called() + + # Check that if channel is provided via str we will create a new one. + with mock.patch.object(DocumentUnderstandingServiceClient, 'get_transport_class') as gtc: + client = client_class(transport=transport_name) + gtc.assert_called() + + # Check the case api_endpoint is provided. + options = client_options.ClientOptions(api_endpoint="squid.clam.whelk") + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(transport=transport_name, client_options=options) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host="squid.clam.whelk", + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is + # "never". + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}): + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE), + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is + # "always". + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}): + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client.DEFAULT_MTLS_ENDPOINT, + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has + # unsupported value. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}): + with pytest.raises(MutualTLSChannelError) as excinfo: + client = client_class(transport=transport_name) + assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + + # Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}): + with pytest.raises(ValueError) as excinfo: + client = client_class(transport=transport_name) + assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`" + + # Check the case quota_project_id is provided + options = client_options.ClientOptions(quota_project_id="octopus") + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE), + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id="octopus", + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + # Check the case api_endpoint is provided + options = client_options.ClientOptions(api_audience="https://language.googleapis.com") + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE), + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience="https://language.googleapis.com" + ) + +@pytest.mark.parametrize("client_class,transport_class,transport_name,use_client_cert_env", [ + (DocumentUnderstandingServiceClient, transports.DocumentUnderstandingServiceGrpcTransport, "grpc", "true"), + (DocumentUnderstandingServiceAsyncClient, transports.DocumentUnderstandingServiceGrpcAsyncIOTransport, "grpc_asyncio", "true"), + (DocumentUnderstandingServiceClient, transports.DocumentUnderstandingServiceGrpcTransport, "grpc", "false"), + (DocumentUnderstandingServiceAsyncClient, transports.DocumentUnderstandingServiceGrpcAsyncIOTransport, "grpc_asyncio", "false"), +]) +@mock.patch.object(DocumentUnderstandingServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DocumentUnderstandingServiceClient)) +@mock.patch.object(DocumentUnderstandingServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DocumentUnderstandingServiceAsyncClient)) +@mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"}) +def test_document_understanding_service_client_mtls_env_auto(client_class, transport_class, transport_name, use_client_cert_env): + # This tests the endpoint autoswitch behavior. Endpoint is autoswitched to the default + # mtls endpoint, if GOOGLE_API_USE_CLIENT_CERTIFICATE is "true" and client cert exists. + + # Check the case client_cert_source is provided. Whether client cert is used depends on + # GOOGLE_API_USE_CLIENT_CERTIFICATE value. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}): + options = client_options.ClientOptions(client_cert_source=client_cert_source_callback) + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + + if use_client_cert_env == "false": + expected_client_cert_source = None + expected_host = client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE) + else: + expected_client_cert_source = client_cert_source_callback + expected_host = client.DEFAULT_MTLS_ENDPOINT + + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=expected_host, + scopes=None, + client_cert_source_for_mtls=expected_client_cert_source, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + # Check the case ADC client cert is provided. Whether client cert is used depends on + # GOOGLE_API_USE_CLIENT_CERTIFICATE value. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}): + with mock.patch.object(transport_class, '__init__') as patched: + with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True): + with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=client_cert_source_callback): + if use_client_cert_env == "false": + expected_host = client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE) + expected_client_cert_source = None + else: + expected_host = client.DEFAULT_MTLS_ENDPOINT + expected_client_cert_source = client_cert_source_callback + + patched.return_value = None + client = client_class(transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=expected_host, + scopes=None, + client_cert_source_for_mtls=expected_client_cert_source, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + # Check the case client_cert_source and ADC client cert are not provided. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}): + with mock.patch.object(transport_class, '__init__') as patched: + with mock.patch("google.auth.transport.mtls.has_default_client_cert_source", return_value=False): + patched.return_value = None + client = client_class(transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE), + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + +@pytest.mark.parametrize("client_class", [ + DocumentUnderstandingServiceClient, DocumentUnderstandingServiceAsyncClient +]) +@mock.patch.object(DocumentUnderstandingServiceClient, "DEFAULT_ENDPOINT", modify_default_endpoint(DocumentUnderstandingServiceClient)) +@mock.patch.object(DocumentUnderstandingServiceAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(DocumentUnderstandingServiceAsyncClient)) +def test_document_understanding_service_client_get_mtls_endpoint_and_cert_source(client_class): + mock_client_cert_source = mock.Mock() + + # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "true". + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): + mock_api_endpoint = "foo" + options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint) + api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(options) + assert api_endpoint == mock_api_endpoint + assert cert_source == mock_client_cert_source + + # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "false". + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "false"}): + mock_client_cert_source = mock.Mock() + mock_api_endpoint = "foo" + options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint) + api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(options) + assert api_endpoint == mock_api_endpoint + assert cert_source is None + + # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "never". + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}): + api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() + assert api_endpoint == client_class.DEFAULT_ENDPOINT + assert cert_source is None + + # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "always". + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}): + api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() + assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT + assert cert_source is None + + # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert doesn't exist. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): + with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=False): + api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() + assert api_endpoint == client_class.DEFAULT_ENDPOINT + assert cert_source is None + + # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert exists. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): + with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True): + with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=mock_client_cert_source): + api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() + assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT + assert cert_source == mock_client_cert_source + + # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has + # unsupported value. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}): + with pytest.raises(MutualTLSChannelError) as excinfo: + client_class.get_mtls_endpoint_and_cert_source() + + assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + + # Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}): + with pytest.raises(ValueError) as excinfo: + client_class.get_mtls_endpoint_and_cert_source() + + assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`" + +@pytest.mark.parametrize("client_class", [ + DocumentUnderstandingServiceClient, DocumentUnderstandingServiceAsyncClient +]) +@mock.patch.object(DocumentUnderstandingServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DocumentUnderstandingServiceClient)) +@mock.patch.object(DocumentUnderstandingServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DocumentUnderstandingServiceAsyncClient)) +def test_document_understanding_service_client_client_api_endpoint(client_class): + mock_client_cert_source = client_cert_source_callback + api_override = "foo.com" + default_universe = DocumentUnderstandingServiceClient._DEFAULT_UNIVERSE + default_endpoint = DocumentUnderstandingServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=default_universe) + mock_universe = "bar.com" + mock_endpoint = DocumentUnderstandingServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=mock_universe) + + # If ClientOptions.api_endpoint is set and GOOGLE_API_USE_CLIENT_CERTIFICATE="true", + # use ClientOptions.api_endpoint as the api endpoint regardless. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): + with mock.patch("google.auth.transport.requests.AuthorizedSession.configure_mtls_channel"): + options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=api_override) + client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials()) + assert client.api_endpoint == api_override + + # If ClientOptions.api_endpoint is not set and GOOGLE_API_USE_MTLS_ENDPOINT="never", + # use the _DEFAULT_ENDPOINT_TEMPLATE populated with GDU as the api endpoint. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}): + client = client_class(credentials=ga_credentials.AnonymousCredentials()) + assert client.api_endpoint == default_endpoint + + # If ClientOptions.api_endpoint is not set and GOOGLE_API_USE_MTLS_ENDPOINT="always", + # use the DEFAULT_MTLS_ENDPOINT as the api endpoint. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}): + client = client_class(credentials=ga_credentials.AnonymousCredentials()) + assert client.api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT + + # If ClientOptions.api_endpoint is not set, GOOGLE_API_USE_MTLS_ENDPOINT="auto" (default), + # GOOGLE_API_USE_CLIENT_CERTIFICATE="false" (default), default cert source doesn't exist, + # and ClientOptions.universe_domain="bar.com", + # use the _DEFAULT_ENDPOINT_TEMPLATE populated with universe domain as the api endpoint. + options = client_options.ClientOptions() + universe_exists = hasattr(options, "universe_domain") + if universe_exists: + options = client_options.ClientOptions(universe_domain=mock_universe) + client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials()) + else: + client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials()) + assert client.api_endpoint == (mock_endpoint if universe_exists else default_endpoint) + assert client.universe_domain == (mock_universe if universe_exists else default_universe) + + # If ClientOptions does not have a universe domain attribute and GOOGLE_API_USE_MTLS_ENDPOINT="never", + # use the _DEFAULT_ENDPOINT_TEMPLATE populated with GDU as the api endpoint. + options = client_options.ClientOptions() + if hasattr(options, "universe_domain"): + delattr(options, "universe_domain") + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}): + client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials()) + assert client.api_endpoint == default_endpoint + + +@pytest.mark.parametrize("client_class,transport_class,transport_name", [ + (DocumentUnderstandingServiceClient, transports.DocumentUnderstandingServiceGrpcTransport, "grpc"), + (DocumentUnderstandingServiceAsyncClient, transports.DocumentUnderstandingServiceGrpcAsyncIOTransport, "grpc_asyncio"), +]) +def test_document_understanding_service_client_client_options_scopes(client_class, transport_class, transport_name): + # Check the case scopes are provided. + options = client_options.ClientOptions( + scopes=["1", "2"], + ) + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE), + scopes=["1", "2"], + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + +@pytest.mark.parametrize("client_class,transport_class,transport_name,grpc_helpers", [ + (DocumentUnderstandingServiceClient, transports.DocumentUnderstandingServiceGrpcTransport, "grpc", grpc_helpers), + (DocumentUnderstandingServiceAsyncClient, transports.DocumentUnderstandingServiceGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async), +]) +def test_document_understanding_service_client_client_options_credentials_file(client_class, transport_class, transport_name, grpc_helpers): + # Check the case credentials file is provided. + options = client_options.ClientOptions( + credentials_file="credentials.json" + ) + + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file="credentials.json", + host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE), + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + +def test_document_understanding_service_client_client_options_from_dict(): + with mock.patch('google.cloud.documentai_v1beta2.services.document_understanding_service.transports.DocumentUnderstandingServiceGrpcTransport.__init__') as grpc_transport: + grpc_transport.return_value = None + client = DocumentUnderstandingServiceClient( + client_options={'api_endpoint': 'squid.clam.whelk'} + ) + grpc_transport.assert_called_once_with( + credentials=None, + credentials_file=None, + host="squid.clam.whelk", + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + +@pytest.mark.parametrize("client_class,transport_class,transport_name,grpc_helpers", [ + (DocumentUnderstandingServiceClient, transports.DocumentUnderstandingServiceGrpcTransport, "grpc", grpc_helpers), + (DocumentUnderstandingServiceAsyncClient, transports.DocumentUnderstandingServiceGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async), +]) +def test_document_understanding_service_client_create_channel_credentials_file(client_class, transport_class, transport_name, grpc_helpers): + # Check the case credentials file is provided. + options = client_options.ClientOptions( + credentials_file="credentials.json" + ) + + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file="credentials.json", + host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE), + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + # test that the credentials from file are saved and used as the credentials. + with mock.patch.object( + google.auth, "load_credentials_from_file", autospec=True + ) as load_creds, mock.patch.object( + google.auth, "default", autospec=True + ) as adc, mock.patch.object( + grpc_helpers, "create_channel" + ) as create_channel: + creds = ga_credentials.AnonymousCredentials() + file_creds = ga_credentials.AnonymousCredentials() + load_creds.return_value = (file_creds, None) + adc.return_value = (creds, None) + client = client_class(client_options=options, transport=transport_name) + create_channel.assert_called_with( + "documentai.googleapis.com:443", + credentials=file_creds, + credentials_file=None, + quota_project_id=None, + default_scopes=( + 'https://www.googleapis.com/auth/cloud-platform', +), + scopes=None, + default_host="documentai.googleapis.com", + ssl_credentials=None, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + +@pytest.mark.parametrize("request_type", [ + document_understanding.BatchProcessDocumentsRequest, + dict, +]) +def test_batch_process_documents(request_type, transport: str = 'grpc'): + client = DocumentUnderstandingServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.batch_process_documents), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/spam') + response = client.batch_process_documents(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_understanding.BatchProcessDocumentsRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +def test_batch_process_documents_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentUnderstandingServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.batch_process_documents), + '__call__') as call: + client.batch_process_documents() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_understanding.BatchProcessDocumentsRequest() + +@pytest.mark.asyncio +async def test_batch_process_documents_async(transport: str = 'grpc_asyncio', request_type=document_understanding.BatchProcessDocumentsRequest): + client = DocumentUnderstandingServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.batch_process_documents), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + response = await client.batch_process_documents(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_understanding.BatchProcessDocumentsRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +@pytest.mark.asyncio +async def test_batch_process_documents_async_from_dict(): + await test_batch_process_documents_async(request_type=dict) + + +def test_batch_process_documents_field_headers(): + client = DocumentUnderstandingServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_understanding.BatchProcessDocumentsRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.batch_process_documents), + '__call__') as call: + call.return_value = operations_pb2.Operation(name='operations/op') + client.batch_process_documents(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_batch_process_documents_field_headers_async(): + client = DocumentUnderstandingServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_understanding.BatchProcessDocumentsRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.batch_process_documents), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) + await client.batch_process_documents(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +def test_batch_process_documents_flattened(): + client = DocumentUnderstandingServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.batch_process_documents), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.batch_process_documents( + requests=[document_understanding.ProcessDocumentRequest(parent='parent_value')], + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].requests + mock_val = [document_understanding.ProcessDocumentRequest(parent='parent_value')] + assert arg == mock_val + + +def test_batch_process_documents_flattened_error(): + client = DocumentUnderstandingServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.batch_process_documents( + document_understanding.BatchProcessDocumentsRequest(), + requests=[document_understanding.ProcessDocumentRequest(parent='parent_value')], + ) + +@pytest.mark.asyncio +async def test_batch_process_documents_flattened_async(): + client = DocumentUnderstandingServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.batch_process_documents), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.batch_process_documents( + requests=[document_understanding.ProcessDocumentRequest(parent='parent_value')], + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].requests + mock_val = [document_understanding.ProcessDocumentRequest(parent='parent_value')] + assert arg == mock_val + +@pytest.mark.asyncio +async def test_batch_process_documents_flattened_error_async(): + client = DocumentUnderstandingServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.batch_process_documents( + document_understanding.BatchProcessDocumentsRequest(), + requests=[document_understanding.ProcessDocumentRequest(parent='parent_value')], + ) + + +@pytest.mark.parametrize("request_type", [ + document_understanding.ProcessDocumentRequest, + dict, +]) +def test_process_document(request_type, transport: str = 'grpc'): + client = DocumentUnderstandingServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.process_document), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = document.Document( + mime_type='mime_type_value', + text='text_value', + uri='uri_value', + ) + response = client.process_document(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_understanding.ProcessDocumentRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, document.Document) + assert response.mime_type == 'mime_type_value' + assert response.text == 'text_value' + + +def test_process_document_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentUnderstandingServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.process_document), + '__call__') as call: + client.process_document() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_understanding.ProcessDocumentRequest() + +@pytest.mark.asyncio +async def test_process_document_async(transport: str = 'grpc_asyncio', request_type=document_understanding.ProcessDocumentRequest): + client = DocumentUnderstandingServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.process_document), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(document.Document( + mime_type='mime_type_value', + text='text_value', + )) + response = await client.process_document(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_understanding.ProcessDocumentRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, document.Document) + assert response.mime_type == 'mime_type_value' + assert response.text == 'text_value' + + +@pytest.mark.asyncio +async def test_process_document_async_from_dict(): + await test_process_document_async(request_type=dict) + + +def test_process_document_field_headers(): + client = DocumentUnderstandingServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_understanding.ProcessDocumentRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.process_document), + '__call__') as call: + call.return_value = document.Document() + client.process_document(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_process_document_field_headers_async(): + client = DocumentUnderstandingServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_understanding.ProcessDocumentRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.process_document), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(document.Document()) + await client.process_document(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +def test_credentials_transport_error(): + # It is an error to provide credentials and a transport instance. + transport = transports.DocumentUnderstandingServiceGrpcTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + with pytest.raises(ValueError): + client = DocumentUnderstandingServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # It is an error to provide a credentials file and a transport instance. + transport = transports.DocumentUnderstandingServiceGrpcTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + with pytest.raises(ValueError): + client = DocumentUnderstandingServiceClient( + client_options={"credentials_file": "credentials.json"}, + transport=transport, + ) + + # It is an error to provide an api_key and a transport instance. + transport = transports.DocumentUnderstandingServiceGrpcTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + options = client_options.ClientOptions() + options.api_key = "api_key" + with pytest.raises(ValueError): + client = DocumentUnderstandingServiceClient( + client_options=options, + transport=transport, + ) + + # It is an error to provide an api_key and a credential. + options = client_options.ClientOptions() + options.api_key = "api_key" + with pytest.raises(ValueError): + client = DocumentUnderstandingServiceClient( + client_options=options, + credentials=ga_credentials.AnonymousCredentials() + ) + + # It is an error to provide scopes and a transport instance. + transport = transports.DocumentUnderstandingServiceGrpcTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + with pytest.raises(ValueError): + client = DocumentUnderstandingServiceClient( + client_options={"scopes": ["1", "2"]}, + transport=transport, + ) + + +def test_transport_instance(): + # A client may be instantiated with a custom transport instance. + transport = transports.DocumentUnderstandingServiceGrpcTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + client = DocumentUnderstandingServiceClient(transport=transport) + assert client.transport is transport + +def test_transport_get_channel(): + # A client may be instantiated with a custom transport instance. + transport = transports.DocumentUnderstandingServiceGrpcTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + channel = transport.grpc_channel + assert channel + + transport = transports.DocumentUnderstandingServiceGrpcAsyncIOTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + channel = transport.grpc_channel + assert channel + +@pytest.mark.parametrize("transport_class", [ + transports.DocumentUnderstandingServiceGrpcTransport, + transports.DocumentUnderstandingServiceGrpcAsyncIOTransport, +]) +def test_transport_adc(transport_class): + # Test default credentials are used if not provided. + with mock.patch.object(google.auth, 'default') as adc: + adc.return_value = (ga_credentials.AnonymousCredentials(), None) + transport_class() + adc.assert_called_once() + +@pytest.mark.parametrize("transport_name", [ + "grpc", +]) +def test_transport_kind(transport_name): + transport = DocumentUnderstandingServiceClient.get_transport_class(transport_name)( + credentials=ga_credentials.AnonymousCredentials(), + ) + assert transport.kind == transport_name + +def test_transport_grpc_default(): + # A client should use the gRPC transport by default. + client = DocumentUnderstandingServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + assert isinstance( + client.transport, + transports.DocumentUnderstandingServiceGrpcTransport, + ) + +def test_document_understanding_service_base_transport_error(): + # Passing both a credentials object and credentials_file should raise an error + with pytest.raises(core_exceptions.DuplicateCredentialArgs): + transport = transports.DocumentUnderstandingServiceTransport( + credentials=ga_credentials.AnonymousCredentials(), + credentials_file="credentials.json" + ) + + +def test_document_understanding_service_base_transport(): + # Instantiate the base transport. + with mock.patch('google.cloud.documentai_v1beta2.services.document_understanding_service.transports.DocumentUnderstandingServiceTransport.__init__') as Transport: + Transport.return_value = None + transport = transports.DocumentUnderstandingServiceTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Every method on the transport should just blindly + # raise NotImplementedError. + methods = ( + 'batch_process_documents', + 'process_document', + 'get_location', + 'list_locations', + 'get_operation', + 'cancel_operation', + 'list_operations', + ) + for method in methods: + with pytest.raises(NotImplementedError): + getattr(transport, method)(request=object()) + + with pytest.raises(NotImplementedError): + transport.close() + + # Additionally, the LRO client (a property) should + # also raise NotImplementedError + with pytest.raises(NotImplementedError): + transport.operations_client + + # Catch all for all remaining methods and properties + remainder = [ + 'kind', + ] + for r in remainder: + with pytest.raises(NotImplementedError): + getattr(transport, r)() + + +def test_document_understanding_service_base_transport_with_credentials_file(): + # Instantiate the base transport with a credentials file + with mock.patch.object(google.auth, 'load_credentials_from_file', autospec=True) as load_creds, mock.patch('google.cloud.documentai_v1beta2.services.document_understanding_service.transports.DocumentUnderstandingServiceTransport._prep_wrapped_messages') as Transport: + Transport.return_value = None + load_creds.return_value = (ga_credentials.AnonymousCredentials(), None) + transport = transports.DocumentUnderstandingServiceTransport( + credentials_file="credentials.json", + quota_project_id="octopus", + ) + load_creds.assert_called_once_with("credentials.json", + scopes=None, + default_scopes=( + 'https://www.googleapis.com/auth/cloud-platform', +), + quota_project_id="octopus", + ) + + +def test_document_understanding_service_base_transport_with_adc(): + # Test the default credentials are used if credentials and credentials_file are None. + with mock.patch.object(google.auth, 'default', autospec=True) as adc, mock.patch('google.cloud.documentai_v1beta2.services.document_understanding_service.transports.DocumentUnderstandingServiceTransport._prep_wrapped_messages') as Transport: + Transport.return_value = None + adc.return_value = (ga_credentials.AnonymousCredentials(), None) + transport = transports.DocumentUnderstandingServiceTransport() + adc.assert_called_once() + + +def test_document_understanding_service_auth_adc(): + # If no credentials are provided, we should use ADC credentials. + with mock.patch.object(google.auth, 'default', autospec=True) as adc: + adc.return_value = (ga_credentials.AnonymousCredentials(), None) + DocumentUnderstandingServiceClient() + adc.assert_called_once_with( + scopes=None, + default_scopes=( + 'https://www.googleapis.com/auth/cloud-platform', +), + quota_project_id=None, + ) + + +@pytest.mark.parametrize( + "transport_class", + [ + transports.DocumentUnderstandingServiceGrpcTransport, + transports.DocumentUnderstandingServiceGrpcAsyncIOTransport, + ], +) +def test_document_understanding_service_transport_auth_adc(transport_class): + # If credentials and host are not provided, the transport class should use + # ADC credentials. + with mock.patch.object(google.auth, 'default', autospec=True) as adc: + adc.return_value = (ga_credentials.AnonymousCredentials(), None) + transport_class(quota_project_id="octopus", scopes=["1", "2"]) + adc.assert_called_once_with( + scopes=["1", "2"], + default_scopes=( 'https://www.googleapis.com/auth/cloud-platform',), + quota_project_id="octopus", + ) + + +@pytest.mark.parametrize( + "transport_class", + [ + transports.DocumentUnderstandingServiceGrpcTransport, + transports.DocumentUnderstandingServiceGrpcAsyncIOTransport, + ], +) +def test_document_understanding_service_transport_auth_gdch_credentials(transport_class): + host = 'https://language.com' + api_audience_tests = [None, 'https://language2.com'] + api_audience_expect = [host, 'https://language2.com'] + for t, e in zip(api_audience_tests, api_audience_expect): + with mock.patch.object(google.auth, 'default', autospec=True) as adc: + gdch_mock = mock.MagicMock() + type(gdch_mock).with_gdch_audience = mock.PropertyMock(return_value=gdch_mock) + adc.return_value = (gdch_mock, None) + transport_class(host=host, api_audience=t) + gdch_mock.with_gdch_audience.assert_called_once_with( + e + ) + + +@pytest.mark.parametrize( + "transport_class,grpc_helpers", + [ + (transports.DocumentUnderstandingServiceGrpcTransport, grpc_helpers), + (transports.DocumentUnderstandingServiceGrpcAsyncIOTransport, grpc_helpers_async) + ], +) +def test_document_understanding_service_transport_create_channel(transport_class, grpc_helpers): + # If credentials and host are not provided, the transport class should use + # ADC credentials. + with mock.patch.object(google.auth, "default", autospec=True) as adc, mock.patch.object( + grpc_helpers, "create_channel", autospec=True + ) as create_channel: + creds = ga_credentials.AnonymousCredentials() + adc.return_value = (creds, None) + transport_class( + quota_project_id="octopus", + scopes=["1", "2"] + ) + + create_channel.assert_called_with( + "documentai.googleapis.com:443", + credentials=creds, + credentials_file=None, + quota_project_id="octopus", + default_scopes=( + 'https://www.googleapis.com/auth/cloud-platform', +), + scopes=["1", "2"], + default_host="documentai.googleapis.com", + ssl_credentials=None, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + +@pytest.mark.parametrize("transport_class", [transports.DocumentUnderstandingServiceGrpcTransport, transports.DocumentUnderstandingServiceGrpcAsyncIOTransport]) +def test_document_understanding_service_grpc_transport_client_cert_source_for_mtls( + transport_class +): + cred = ga_credentials.AnonymousCredentials() + + # Check ssl_channel_credentials is used if provided. + with mock.patch.object(transport_class, "create_channel") as mock_create_channel: + mock_ssl_channel_creds = mock.Mock() + transport_class( + host="squid.clam.whelk", + credentials=cred, + ssl_channel_credentials=mock_ssl_channel_creds + ) + mock_create_channel.assert_called_once_with( + "squid.clam.whelk:443", + credentials=cred, + credentials_file=None, + scopes=None, + ssl_credentials=mock_ssl_channel_creds, + quota_project_id=None, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + # Check if ssl_channel_credentials is not provided, then client_cert_source_for_mtls + # is used. + with mock.patch.object(transport_class, "create_channel", return_value=mock.Mock()): + with mock.patch("grpc.ssl_channel_credentials") as mock_ssl_cred: + transport_class( + credentials=cred, + client_cert_source_for_mtls=client_cert_source_callback + ) + expected_cert, expected_key = client_cert_source_callback() + mock_ssl_cred.assert_called_once_with( + certificate_chain=expected_cert, + private_key=expected_key + ) + + +@pytest.mark.parametrize("transport_name", [ + "grpc", + "grpc_asyncio", +]) +def test_document_understanding_service_host_no_port(transport_name): + client = DocumentUnderstandingServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + client_options=client_options.ClientOptions(api_endpoint='documentai.googleapis.com'), + transport=transport_name, + ) + assert client.transport._host == ( + 'documentai.googleapis.com:443' + ) + +@pytest.mark.parametrize("transport_name", [ + "grpc", + "grpc_asyncio", +]) +def test_document_understanding_service_host_with_port(transport_name): + client = DocumentUnderstandingServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + client_options=client_options.ClientOptions(api_endpoint='documentai.googleapis.com:8000'), + transport=transport_name, + ) + assert client.transport._host == ( + 'documentai.googleapis.com:8000' + ) + +def test_document_understanding_service_grpc_transport_channel(): + channel = grpc.secure_channel('http://localhost/', grpc.local_channel_credentials()) + + # Check that channel is used if provided. + transport = transports.DocumentUnderstandingServiceGrpcTransport( + host="squid.clam.whelk", + channel=channel, + ) + assert transport.grpc_channel == channel + assert transport._host == "squid.clam.whelk:443" + assert transport._ssl_channel_credentials == None + + +def test_document_understanding_service_grpc_asyncio_transport_channel(): + channel = aio.secure_channel('http://localhost/', grpc.local_channel_credentials()) + + # Check that channel is used if provided. + transport = transports.DocumentUnderstandingServiceGrpcAsyncIOTransport( + host="squid.clam.whelk", + channel=channel, + ) + assert transport.grpc_channel == channel + assert transport._host == "squid.clam.whelk:443" + assert transport._ssl_channel_credentials == None + + +# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are +# removed from grpc/grpc_asyncio transport constructor. +@pytest.mark.parametrize("transport_class", [transports.DocumentUnderstandingServiceGrpcTransport, transports.DocumentUnderstandingServiceGrpcAsyncIOTransport]) +def test_document_understanding_service_transport_channel_mtls_with_client_cert_source( + transport_class +): + with mock.patch("grpc.ssl_channel_credentials", autospec=True) as grpc_ssl_channel_cred: + with mock.patch.object(transport_class, "create_channel") as grpc_create_channel: + mock_ssl_cred = mock.Mock() + grpc_ssl_channel_cred.return_value = mock_ssl_cred + + mock_grpc_channel = mock.Mock() + grpc_create_channel.return_value = mock_grpc_channel + + cred = ga_credentials.AnonymousCredentials() + with pytest.warns(DeprecationWarning): + with mock.patch.object(google.auth, 'default') as adc: + adc.return_value = (cred, None) + transport = transport_class( + host="squid.clam.whelk", + api_mtls_endpoint="mtls.squid.clam.whelk", + client_cert_source=client_cert_source_callback, + ) + adc.assert_called_once() + + grpc_ssl_channel_cred.assert_called_once_with( + certificate_chain=b"cert bytes", private_key=b"key bytes" + ) + grpc_create_channel.assert_called_once_with( + "mtls.squid.clam.whelk:443", + credentials=cred, + credentials_file=None, + scopes=None, + ssl_credentials=mock_ssl_cred, + quota_project_id=None, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + assert transport.grpc_channel == mock_grpc_channel + assert transport._ssl_channel_credentials == mock_ssl_cred + + +# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are +# removed from grpc/grpc_asyncio transport constructor. +@pytest.mark.parametrize("transport_class", [transports.DocumentUnderstandingServiceGrpcTransport, transports.DocumentUnderstandingServiceGrpcAsyncIOTransport]) +def test_document_understanding_service_transport_channel_mtls_with_adc( + transport_class +): + mock_ssl_cred = mock.Mock() + with mock.patch.multiple( + "google.auth.transport.grpc.SslCredentials", + __init__=mock.Mock(return_value=None), + ssl_credentials=mock.PropertyMock(return_value=mock_ssl_cred), + ): + with mock.patch.object(transport_class, "create_channel") as grpc_create_channel: + mock_grpc_channel = mock.Mock() + grpc_create_channel.return_value = mock_grpc_channel + mock_cred = mock.Mock() + + with pytest.warns(DeprecationWarning): + transport = transport_class( + host="squid.clam.whelk", + credentials=mock_cred, + api_mtls_endpoint="mtls.squid.clam.whelk", + client_cert_source=None, + ) + + grpc_create_channel.assert_called_once_with( + "mtls.squid.clam.whelk:443", + credentials=mock_cred, + credentials_file=None, + scopes=None, + ssl_credentials=mock_ssl_cred, + quota_project_id=None, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + assert transport.grpc_channel == mock_grpc_channel + + +def test_document_understanding_service_grpc_lro_client(): + client = DocumentUnderstandingServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + transport = client.transport + + # Ensure that we have a api-core operations client. + assert isinstance( + transport.operations_client, + operations_v1.OperationsClient, + ) + + # Ensure that subsequent calls to the property send the exact same object. + assert transport.operations_client is transport.operations_client + + +def test_document_understanding_service_grpc_lro_async_client(): + client = DocumentUnderstandingServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc_asyncio', + ) + transport = client.transport + + # Ensure that we have a api-core operations client. + assert isinstance( + transport.operations_client, + operations_v1.OperationsAsyncClient, + ) + + # Ensure that subsequent calls to the property send the exact same object. + assert transport.operations_client is transport.operations_client + + +def test_common_billing_account_path(): + billing_account = "squid" + expected = "billingAccounts/{billing_account}".format(billing_account=billing_account, ) + actual = DocumentUnderstandingServiceClient.common_billing_account_path(billing_account) + assert expected == actual + + +def test_parse_common_billing_account_path(): + expected = { + "billing_account": "clam", + } + path = DocumentUnderstandingServiceClient.common_billing_account_path(**expected) + + # Check that the path construction is reversible. + actual = DocumentUnderstandingServiceClient.parse_common_billing_account_path(path) + assert expected == actual + +def test_common_folder_path(): + folder = "whelk" + expected = "folders/{folder}".format(folder=folder, ) + actual = DocumentUnderstandingServiceClient.common_folder_path(folder) + assert expected == actual + + +def test_parse_common_folder_path(): + expected = { + "folder": "octopus", + } + path = DocumentUnderstandingServiceClient.common_folder_path(**expected) + + # Check that the path construction is reversible. + actual = DocumentUnderstandingServiceClient.parse_common_folder_path(path) + assert expected == actual + +def test_common_organization_path(): + organization = "oyster" + expected = "organizations/{organization}".format(organization=organization, ) + actual = DocumentUnderstandingServiceClient.common_organization_path(organization) + assert expected == actual + + +def test_parse_common_organization_path(): + expected = { + "organization": "nudibranch", + } + path = DocumentUnderstandingServiceClient.common_organization_path(**expected) + + # Check that the path construction is reversible. + actual = DocumentUnderstandingServiceClient.parse_common_organization_path(path) + assert expected == actual + +def test_common_project_path(): + project = "cuttlefish" + expected = "projects/{project}".format(project=project, ) + actual = DocumentUnderstandingServiceClient.common_project_path(project) + assert expected == actual + + +def test_parse_common_project_path(): + expected = { + "project": "mussel", + } + path = DocumentUnderstandingServiceClient.common_project_path(**expected) + + # Check that the path construction is reversible. + actual = DocumentUnderstandingServiceClient.parse_common_project_path(path) + assert expected == actual + +def test_common_location_path(): + project = "winkle" + location = "nautilus" + expected = "projects/{project}/locations/{location}".format(project=project, location=location, ) + actual = DocumentUnderstandingServiceClient.common_location_path(project, location) + assert expected == actual + + +def test_parse_common_location_path(): + expected = { + "project": "scallop", + "location": "abalone", + } + path = DocumentUnderstandingServiceClient.common_location_path(**expected) + + # Check that the path construction is reversible. + actual = DocumentUnderstandingServiceClient.parse_common_location_path(path) + assert expected == actual + + +def test_client_with_default_client_info(): + client_info = gapic_v1.client_info.ClientInfo() + + with mock.patch.object(transports.DocumentUnderstandingServiceTransport, '_prep_wrapped_messages') as prep: + client = DocumentUnderstandingServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + client_info=client_info, + ) + prep.assert_called_once_with(client_info) + + with mock.patch.object(transports.DocumentUnderstandingServiceTransport, '_prep_wrapped_messages') as prep: + transport_class = DocumentUnderstandingServiceClient.get_transport_class() + transport = transport_class( + credentials=ga_credentials.AnonymousCredentials(), + client_info=client_info, + ) + prep.assert_called_once_with(client_info) + +@pytest.mark.asyncio +async def test_transport_close_async(): + client = DocumentUnderstandingServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="grpc_asyncio", + ) + with mock.patch.object(type(getattr(client.transport, "grpc_channel")), "close") as close: + async with client: + close.assert_not_called() + close.assert_called_once() + + +def test_cancel_operation(transport: str = "grpc"): + client = DocumentUnderstandingServiceClient( + credentials=ga_credentials.AnonymousCredentials(), transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = operations_pb2.CancelOperationRequest() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = None + response = client.cancel_operation(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the response is the type that we expect. + assert response is None +@pytest.mark.asyncio +async def test_cancel_operation_async(transport: str = "grpc_asyncio"): + client = DocumentUnderstandingServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = operations_pb2.CancelOperationRequest() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + None + ) + response = await client.cancel_operation(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the response is the type that we expect. + assert response is None + +def test_cancel_operation_field_headers(): + client = DocumentUnderstandingServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = operations_pb2.CancelOperationRequest() + request.name = "locations" + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call: + call.return_value = None + + client.cancel_operation(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ("x-goog-request-params", "name=locations",) in kw["metadata"] +@pytest.mark.asyncio +async def test_cancel_operation_field_headers_async(): + client = DocumentUnderstandingServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = operations_pb2.CancelOperationRequest() + request.name = "locations" + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + None + ) + await client.cancel_operation(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ("x-goog-request-params", "name=locations",) in kw["metadata"] + +def test_cancel_operation_from_dict(): + client = DocumentUnderstandingServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = None + + response = client.cancel_operation( + request={ + "name": "locations", + } + ) + call.assert_called() +@pytest.mark.asyncio +async def test_cancel_operation_from_dict_async(): + client = DocumentUnderstandingServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + None + ) + response = await client.cancel_operation( + request={ + "name": "locations", + } + ) + call.assert_called() + + +def test_get_operation(transport: str = "grpc"): + client = DocumentUnderstandingServiceClient( + credentials=ga_credentials.AnonymousCredentials(), transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = operations_pb2.GetOperationRequest() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.get_operation), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation() + response = client.get_operation(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the response is the type that we expect. + assert isinstance(response, operations_pb2.Operation) +@pytest.mark.asyncio +async def test_get_operation_async(transport: str = "grpc_asyncio"): + client = DocumentUnderstandingServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = operations_pb2.GetOperationRequest() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.get_operation), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation() + ) + response = await client.get_operation(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the response is the type that we expect. + assert isinstance(response, operations_pb2.Operation) + +def test_get_operation_field_headers(): + client = DocumentUnderstandingServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = operations_pb2.GetOperationRequest() + request.name = "locations" + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.get_operation), "__call__") as call: + call.return_value = operations_pb2.Operation() + + client.get_operation(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ("x-goog-request-params", "name=locations",) in kw["metadata"] +@pytest.mark.asyncio +async def test_get_operation_field_headers_async(): + client = DocumentUnderstandingServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = operations_pb2.GetOperationRequest() + request.name = "locations" + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.get_operation), "__call__") as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation() + ) + await client.get_operation(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ("x-goog-request-params", "name=locations",) in kw["metadata"] + +def test_get_operation_from_dict(): + client = DocumentUnderstandingServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.get_operation), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation() + + response = client.get_operation( + request={ + "name": "locations", + } + ) + call.assert_called() +@pytest.mark.asyncio +async def test_get_operation_from_dict_async(): + client = DocumentUnderstandingServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.get_operation), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation() + ) + response = await client.get_operation( + request={ + "name": "locations", + } + ) + call.assert_called() + + +def test_list_operations(transport: str = "grpc"): + client = DocumentUnderstandingServiceClient( + credentials=ga_credentials.AnonymousCredentials(), transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = operations_pb2.ListOperationsRequest() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_operations), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.ListOperationsResponse() + response = client.list_operations(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the response is the type that we expect. + assert isinstance(response, operations_pb2.ListOperationsResponse) +@pytest.mark.asyncio +async def test_list_operations_async(transport: str = "grpc_asyncio"): + client = DocumentUnderstandingServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = operations_pb2.ListOperationsRequest() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_operations), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.ListOperationsResponse() + ) + response = await client.list_operations(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the response is the type that we expect. + assert isinstance(response, operations_pb2.ListOperationsResponse) + +def test_list_operations_field_headers(): + client = DocumentUnderstandingServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = operations_pb2.ListOperationsRequest() + request.name = "locations" + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_operations), "__call__") as call: + call.return_value = operations_pb2.ListOperationsResponse() + + client.list_operations(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ("x-goog-request-params", "name=locations",) in kw["metadata"] +@pytest.mark.asyncio +async def test_list_operations_field_headers_async(): + client = DocumentUnderstandingServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = operations_pb2.ListOperationsRequest() + request.name = "locations" + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_operations), "__call__") as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.ListOperationsResponse() + ) + await client.list_operations(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ("x-goog-request-params", "name=locations",) in kw["metadata"] + +def test_list_operations_from_dict(): + client = DocumentUnderstandingServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_operations), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.ListOperationsResponse() + + response = client.list_operations( + request={ + "name": "locations", + } + ) + call.assert_called() +@pytest.mark.asyncio +async def test_list_operations_from_dict_async(): + client = DocumentUnderstandingServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_operations), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.ListOperationsResponse() + ) + response = await client.list_operations( + request={ + "name": "locations", + } + ) + call.assert_called() + + +def test_list_locations(transport: str = "grpc"): + client = DocumentUnderstandingServiceClient( + credentials=ga_credentials.AnonymousCredentials(), transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = locations_pb2.ListLocationsRequest() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_locations), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = locations_pb2.ListLocationsResponse() + response = client.list_locations(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the response is the type that we expect. + assert isinstance(response, locations_pb2.ListLocationsResponse) +@pytest.mark.asyncio +async def test_list_locations_async(transport: str = "grpc_asyncio"): + client = DocumentUnderstandingServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = locations_pb2.ListLocationsRequest() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_locations), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + locations_pb2.ListLocationsResponse() + ) + response = await client.list_locations(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the response is the type that we expect. + assert isinstance(response, locations_pb2.ListLocationsResponse) + +def test_list_locations_field_headers(): + client = DocumentUnderstandingServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = locations_pb2.ListLocationsRequest() + request.name = "locations" + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_locations), "__call__") as call: + call.return_value = locations_pb2.ListLocationsResponse() + + client.list_locations(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ("x-goog-request-params", "name=locations",) in kw["metadata"] +@pytest.mark.asyncio +async def test_list_locations_field_headers_async(): + client = DocumentUnderstandingServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = locations_pb2.ListLocationsRequest() + request.name = "locations" + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_locations), "__call__") as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + locations_pb2.ListLocationsResponse() + ) + await client.list_locations(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ("x-goog-request-params", "name=locations",) in kw["metadata"] + +def test_list_locations_from_dict(): + client = DocumentUnderstandingServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_locations), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = locations_pb2.ListLocationsResponse() + + response = client.list_locations( + request={ + "name": "locations", + } + ) + call.assert_called() +@pytest.mark.asyncio +async def test_list_locations_from_dict_async(): + client = DocumentUnderstandingServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_locations), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + locations_pb2.ListLocationsResponse() + ) + response = await client.list_locations( + request={ + "name": "locations", + } + ) + call.assert_called() + + +def test_get_location(transport: str = "grpc"): + client = DocumentUnderstandingServiceClient( + credentials=ga_credentials.AnonymousCredentials(), transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = locations_pb2.GetLocationRequest() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.get_location), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = locations_pb2.Location() + response = client.get_location(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the response is the type that we expect. + assert isinstance(response, locations_pb2.Location) +@pytest.mark.asyncio +async def test_get_location_async(transport: str = "grpc_asyncio"): + client = DocumentUnderstandingServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = locations_pb2.GetLocationRequest() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.get_location), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + locations_pb2.Location() + ) + response = await client.get_location(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the response is the type that we expect. + assert isinstance(response, locations_pb2.Location) + +def test_get_location_field_headers(): + client = DocumentUnderstandingServiceClient( + credentials=ga_credentials.AnonymousCredentials()) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = locations_pb2.GetLocationRequest() + request.name = "locations/abc" + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.get_location), "__call__") as call: + call.return_value = locations_pb2.Location() + + client.get_location(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ("x-goog-request-params", "name=locations/abc",) in kw["metadata"] +@pytest.mark.asyncio +async def test_get_location_field_headers_async(): + client = DocumentUnderstandingServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials() + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = locations_pb2.GetLocationRequest() + request.name = "locations/abc" + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.get_location), "__call__") as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + locations_pb2.Location() + ) + await client.get_location(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ("x-goog-request-params", "name=locations/abc",) in kw["metadata"] + +def test_get_location_from_dict(): + client = DocumentUnderstandingServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_locations), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = locations_pb2.Location() + + response = client.get_location( + request={ + "name": "locations/abc", + } + ) + call.assert_called() +@pytest.mark.asyncio +async def test_get_location_from_dict_async(): + client = DocumentUnderstandingServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_locations), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + locations_pb2.Location() + ) + response = await client.get_location( + request={ + "name": "locations", + } + ) + call.assert_called() + + +def test_transport_close(): + transports = { + "grpc": "_grpc_channel", + } + + for transport, close_name in transports.items(): + client = DocumentUnderstandingServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport + ) + with mock.patch.object(type(getattr(client.transport, close_name)), "close") as close: + with client: + close.assert_not_called() + close.assert_called_once() + +def test_client_ctx(): + transports = [ + 'grpc', + ] + for transport in transports: + client = DocumentUnderstandingServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport + ) + # Test client calls underlying transport. + with mock.patch.object(type(client.transport), "close") as close: + close.assert_not_called() + with client: + pass + close.assert_called() + +@pytest.mark.parametrize("client_class,transport_class", [ + (DocumentUnderstandingServiceClient, transports.DocumentUnderstandingServiceGrpcTransport), + (DocumentUnderstandingServiceAsyncClient, transports.DocumentUnderstandingServiceGrpcAsyncIOTransport), +]) +def test_api_key_credentials(client_class, transport_class): + with mock.patch.object( + google.auth._default, "get_api_key_credentials", create=True + ) as get_api_key_credentials: + mock_cred = mock.Mock() + get_api_key_credentials.return_value = mock_cred + options = client_options.ClientOptions() + options.api_key = "api_key" + with mock.patch.object(transport_class, "__init__") as patched: + patched.return_value = None + client = client_class(client_options=options) + patched.assert_called_once_with( + credentials=mock_cred, + credentials_file=None, + host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE), + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/.coveragerc b/owl-bot-staging/google-cloud-documentai/v1beta3/.coveragerc new file mode 100644 index 000000000000..46ab6093e34b --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/.coveragerc @@ -0,0 +1,13 @@ +[run] +branch = True + +[report] +show_missing = True +omit = + google/cloud/documentai/__init__.py + google/cloud/documentai/gapic_version.py +exclude_lines = + # Re-enable the standard pragma + pragma: NO COVER + # Ignore debug-only repr + def __repr__ diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/.flake8 b/owl-bot-staging/google-cloud-documentai/v1beta3/.flake8 new file mode 100644 index 000000000000..29227d4cf419 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/.flake8 @@ -0,0 +1,33 @@ +# -*- coding: utf-8 -*- +# +# Copyright 2020 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# https://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# Generated by synthtool. DO NOT EDIT! +[flake8] +ignore = E203, E266, E501, W503 +exclude = + # Exclude generated code. + **/proto/** + **/gapic/** + **/services/** + **/types/** + *_pb2.py + + # Standard linting exemptions. + **/.nox/** + __pycache__, + .git, + *.pyc, + conf.py diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/MANIFEST.in b/owl-bot-staging/google-cloud-documentai/v1beta3/MANIFEST.in new file mode 100644 index 000000000000..af799d71f5e1 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/MANIFEST.in @@ -0,0 +1,2 @@ +recursive-include google/cloud/documentai *.py +recursive-include google/cloud/documentai_v1beta3 *.py diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/README.rst b/owl-bot-staging/google-cloud-documentai/v1beta3/README.rst new file mode 100644 index 000000000000..484a3c1c8fa7 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/README.rst @@ -0,0 +1,49 @@ +Python Client for Google Cloud Documentai API +================================================= + +Quick Start +----------- + +In order to use this library, you first need to go through the following steps: + +1. `Select or create a Cloud Platform project.`_ +2. `Enable billing for your project.`_ +3. Enable the Google Cloud Documentai API. +4. `Setup Authentication.`_ + +.. _Select or create a Cloud Platform project.: https://console.cloud.google.com/project +.. _Enable billing for your project.: https://cloud.google.com/billing/docs/how-to/modify-project#enable_billing_for_a_project +.. _Setup Authentication.: https://googleapis.dev/python/google-api-core/latest/auth.html + +Installation +~~~~~~~~~~~~ + +Install this library in a `virtualenv`_ using pip. `virtualenv`_ is a tool to +create isolated Python environments. The basic problem it addresses is one of +dependencies and versions, and indirectly permissions. + +With `virtualenv`_, it's possible to install this library without needing system +install permissions, and without clashing with the installed system +dependencies. + +.. _`virtualenv`: https://virtualenv.pypa.io/en/latest/ + + +Mac/Linux +^^^^^^^^^ + +.. code-block:: console + + python3 -m venv + source /bin/activate + /bin/pip install /path/to/library + + +Windows +^^^^^^^ + +.. code-block:: console + + python3 -m venv + \Scripts\activate + \Scripts\pip.exe install \path\to\library diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/docs/_static/custom.css b/owl-bot-staging/google-cloud-documentai/v1beta3/docs/_static/custom.css new file mode 100644 index 000000000000..06423be0b592 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/docs/_static/custom.css @@ -0,0 +1,3 @@ +dl.field-list > dt { + min-width: 100px +} diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/docs/conf.py b/owl-bot-staging/google-cloud-documentai/v1beta3/docs/conf.py new file mode 100644 index 000000000000..8d93c59cdbb8 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/docs/conf.py @@ -0,0 +1,376 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# +# google-cloud-documentai documentation build configuration file +# +# This file is execfile()d with the current directory set to its +# containing dir. +# +# Note that not all possible configuration values are present in this +# autogenerated file. +# +# All configuration values have a default; values that are commented out +# serve to show the default. + +import sys +import os +import shlex + +# If extensions (or modules to document with autodoc) are in another directory, +# add these directories to sys.path here. If the directory is relative to the +# documentation root, use os.path.abspath to make it absolute, like shown here. +sys.path.insert(0, os.path.abspath("..")) + +__version__ = "0.1.0" + +# -- General configuration ------------------------------------------------ + +# If your documentation needs a minimal Sphinx version, state it here. +needs_sphinx = "4.0.1" + +# Add any Sphinx extension module names here, as strings. They can be +# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom +# ones. +extensions = [ + "sphinx.ext.autodoc", + "sphinx.ext.autosummary", + "sphinx.ext.intersphinx", + "sphinx.ext.coverage", + "sphinx.ext.napoleon", + "sphinx.ext.todo", + "sphinx.ext.viewcode", +] + +# autodoc/autosummary flags +autoclass_content = "both" +autodoc_default_flags = ["members"] +autosummary_generate = True + + +# Add any paths that contain templates here, relative to this directory. +templates_path = ["_templates"] + +# Allow markdown includes (so releases.md can include CHANGLEOG.md) +# http://www.sphinx-doc.org/en/master/markdown.html +source_parsers = {".md": "recommonmark.parser.CommonMarkParser"} + +# The suffix(es) of source filenames. +# You can specify multiple suffix as a list of string: +source_suffix = [".rst", ".md"] + +# The encoding of source files. +# source_encoding = 'utf-8-sig' + +# The root toctree document. +root_doc = "index" + +# General information about the project. +project = u"google-cloud-documentai" +copyright = u"2023, Google, LLC" +author = u"Google APIs" # TODO: autogenerate this bit + +# The version info for the project you're documenting, acts as replacement for +# |version| and |release|, also used in various other places throughout the +# built documents. +# +# The full version, including alpha/beta/rc tags. +release = __version__ +# The short X.Y version. +version = ".".join(release.split(".")[0:2]) + +# The language for content autogenerated by Sphinx. Refer to documentation +# for a list of supported languages. +# +# This is also used if you do content translation via gettext catalogs. +# Usually you set "language" from the command line for these cases. +language = 'en' + +# There are two options for replacing |today|: either, you set today to some +# non-false value, then it is used: +# today = '' +# Else, today_fmt is used as the format for a strftime call. +# today_fmt = '%B %d, %Y' + +# List of patterns, relative to source directory, that match files and +# directories to ignore when looking for source files. +exclude_patterns = ["_build"] + +# The reST default role (used for this markup: `text`) to use for all +# documents. +# default_role = None + +# If true, '()' will be appended to :func: etc. cross-reference text. +# add_function_parentheses = True + +# If true, the current module name will be prepended to all description +# unit titles (such as .. function::). +# add_module_names = True + +# If true, sectionauthor and moduleauthor directives will be shown in the +# output. They are ignored by default. +# show_authors = False + +# The name of the Pygments (syntax highlighting) style to use. +pygments_style = "sphinx" + +# A list of ignored prefixes for module index sorting. +# modindex_common_prefix = [] + +# If true, keep warnings as "system message" paragraphs in the built documents. +# keep_warnings = False + +# If true, `todo` and `todoList` produce output, else they produce nothing. +todo_include_todos = True + + +# -- Options for HTML output ---------------------------------------------- + +# The theme to use for HTML and HTML Help pages. See the documentation for +# a list of builtin themes. +html_theme = "alabaster" + +# Theme options are theme-specific and customize the look and feel of a theme +# further. For a list of options available for each theme, see the +# documentation. +html_theme_options = { + "description": "Google Cloud Client Libraries for Python", + "github_user": "googleapis", + "github_repo": "google-cloud-python", + "github_banner": True, + "font_family": "'Roboto', Georgia, sans", + "head_font_family": "'Roboto', Georgia, serif", + "code_font_family": "'Roboto Mono', 'Consolas', monospace", +} + +# Add any paths that contain custom themes here, relative to this directory. +# html_theme_path = [] + +# The name for this set of Sphinx documents. If None, it defaults to +# " v documentation". +# html_title = None + +# A shorter title for the navigation bar. Default is the same as html_title. +# html_short_title = None + +# The name of an image file (relative to this directory) to place at the top +# of the sidebar. +# html_logo = None + +# The name of an image file (within the static path) to use as favicon of the +# docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 +# pixels large. +# html_favicon = None + +# Add any paths that contain custom static files (such as style sheets) here, +# relative to this directory. They are copied after the builtin static files, +# so a file named "default.css" will overwrite the builtin "default.css". +html_static_path = ["_static"] + +# Add any extra paths that contain custom files (such as robots.txt or +# .htaccess) here, relative to this directory. These files are copied +# directly to the root of the documentation. +# html_extra_path = [] + +# If not '', a 'Last updated on:' timestamp is inserted at every page bottom, +# using the given strftime format. +# html_last_updated_fmt = '%b %d, %Y' + +# If true, SmartyPants will be used to convert quotes and dashes to +# typographically correct entities. +# html_use_smartypants = True + +# Custom sidebar templates, maps document names to template names. +# html_sidebars = {} + +# Additional templates that should be rendered to pages, maps page names to +# template names. +# html_additional_pages = {} + +# If false, no module index is generated. +# html_domain_indices = True + +# If false, no index is generated. +# html_use_index = True + +# If true, the index is split into individual pages for each letter. +# html_split_index = False + +# If true, links to the reST sources are added to the pages. +# html_show_sourcelink = True + +# If true, "Created using Sphinx" is shown in the HTML footer. Default is True. +# html_show_sphinx = True + +# If true, "(C) Copyright ..." is shown in the HTML footer. Default is True. +# html_show_copyright = True + +# If true, an OpenSearch description file will be output, and all pages will +# contain a tag referring to it. The value of this option must be the +# base URL from which the finished HTML is served. +# html_use_opensearch = '' + +# This is the file name suffix for HTML files (e.g. ".xhtml"). +# html_file_suffix = None + +# Language to be used for generating the HTML full-text search index. +# Sphinx supports the following languages: +# 'da', 'de', 'en', 'es', 'fi', 'fr', 'hu', 'it', 'ja' +# 'nl', 'no', 'pt', 'ro', 'ru', 'sv', 'tr' +# html_search_language = 'en' + +# A dictionary with options for the search language support, empty by default. +# Now only 'ja' uses this config value +# html_search_options = {'type': 'default'} + +# The name of a javascript file (relative to the configuration directory) that +# implements a search results scorer. If empty, the default will be used. +# html_search_scorer = 'scorer.js' + +# Output file base name for HTML help builder. +htmlhelp_basename = "google-cloud-documentai-doc" + +# -- Options for warnings ------------------------------------------------------ + + +suppress_warnings = [ + # Temporarily suppress this to avoid "more than one target found for + # cross-reference" warning, which are intractable for us to avoid while in + # a mono-repo. + # See https://github.com/sphinx-doc/sphinx/blob + # /2a65ffeef5c107c19084fabdd706cdff3f52d93c/sphinx/domains/python.py#L843 + "ref.python" +] + +# -- Options for LaTeX output --------------------------------------------- + +latex_elements = { + # The paper size ('letterpaper' or 'a4paper'). + # 'papersize': 'letterpaper', + # The font size ('10pt', '11pt' or '12pt'). + # 'pointsize': '10pt', + # Additional stuff for the LaTeX preamble. + # 'preamble': '', + # Latex figure (float) alignment + # 'figure_align': 'htbp', +} + +# Grouping the document tree into LaTeX files. List of tuples +# (source start file, target name, title, +# author, documentclass [howto, manual, or own class]). +latex_documents = [ + ( + root_doc, + "google-cloud-documentai.tex", + u"google-cloud-documentai Documentation", + author, + "manual", + ) +] + +# The name of an image file (relative to this directory) to place at the top of +# the title page. +# latex_logo = None + +# For "manual" documents, if this is true, then toplevel headings are parts, +# not chapters. +# latex_use_parts = False + +# If true, show page references after internal links. +# latex_show_pagerefs = False + +# If true, show URL addresses after external links. +# latex_show_urls = False + +# Documents to append as an appendix to all manuals. +# latex_appendices = [] + +# If false, no module index is generated. +# latex_domain_indices = True + + +# -- Options for manual page output --------------------------------------- + +# One entry per manual page. List of tuples +# (source start file, name, description, authors, manual section). +man_pages = [ + ( + root_doc, + "google-cloud-documentai", + u"Google Cloud Documentai Documentation", + [author], + 1, + ) +] + +# If true, show URL addresses after external links. +# man_show_urls = False + + +# -- Options for Texinfo output ------------------------------------------- + +# Grouping the document tree into Texinfo files. List of tuples +# (source start file, target name, title, author, +# dir menu entry, description, category) +texinfo_documents = [ + ( + root_doc, + "google-cloud-documentai", + u"google-cloud-documentai Documentation", + author, + "google-cloud-documentai", + "GAPIC library for Google Cloud Documentai API", + "APIs", + ) +] + +# Documents to append as an appendix to all manuals. +# texinfo_appendices = [] + +# If false, no module index is generated. +# texinfo_domain_indices = True + +# How to display URL addresses: 'footnote', 'no', or 'inline'. +# texinfo_show_urls = 'footnote' + +# If true, do not generate a @detailmenu in the "Top" node's menu. +# texinfo_no_detailmenu = False + + +# Example configuration for intersphinx: refer to the Python standard library. +intersphinx_mapping = { + "python": ("http://python.readthedocs.org/en/latest/", None), + "gax": ("https://gax-python.readthedocs.org/en/latest/", None), + "google-auth": ("https://google-auth.readthedocs.io/en/stable", None), + "google-gax": ("https://gax-python.readthedocs.io/en/latest/", None), + "google.api_core": ("https://googleapis.dev/python/google-api-core/latest/", None), + "grpc": ("https://grpc.io/grpc/python/", None), + "requests": ("http://requests.kennethreitz.org/en/stable/", None), + "proto": ("https://proto-plus-python.readthedocs.io/en/stable", None), + "protobuf": ("https://googleapis.dev/python/protobuf/latest/", None), +} + + +# Napoleon settings +napoleon_google_docstring = True +napoleon_numpy_docstring = True +napoleon_include_private_with_doc = False +napoleon_include_special_with_doc = True +napoleon_use_admonition_for_examples = False +napoleon_use_admonition_for_notes = False +napoleon_use_admonition_for_references = False +napoleon_use_ivar = False +napoleon_use_param = True +napoleon_use_rtype = True diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/docs/documentai_v1beta3/document_processor_service.rst b/owl-bot-staging/google-cloud-documentai/v1beta3/docs/documentai_v1beta3/document_processor_service.rst new file mode 100644 index 000000000000..4d8d5f9ef5cc --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/docs/documentai_v1beta3/document_processor_service.rst @@ -0,0 +1,10 @@ +DocumentProcessorService +------------------------------------------ + +.. automodule:: google.cloud.documentai_v1beta3.services.document_processor_service + :members: + :inherited-members: + +.. automodule:: google.cloud.documentai_v1beta3.services.document_processor_service.pagers + :members: + :inherited-members: diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/docs/documentai_v1beta3/document_service.rst b/owl-bot-staging/google-cloud-documentai/v1beta3/docs/documentai_v1beta3/document_service.rst new file mode 100644 index 000000000000..4ac25775f8b6 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/docs/documentai_v1beta3/document_service.rst @@ -0,0 +1,10 @@ +DocumentService +--------------------------------- + +.. automodule:: google.cloud.documentai_v1beta3.services.document_service + :members: + :inherited-members: + +.. automodule:: google.cloud.documentai_v1beta3.services.document_service.pagers + :members: + :inherited-members: diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/docs/documentai_v1beta3/services_.rst b/owl-bot-staging/google-cloud-documentai/v1beta3/docs/documentai_v1beta3/services_.rst new file mode 100644 index 000000000000..7389a2275fa8 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/docs/documentai_v1beta3/services_.rst @@ -0,0 +1,7 @@ +Services for Google Cloud Documentai v1beta3 API +================================================ +.. toctree:: + :maxdepth: 2 + + document_processor_service + document_service diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/docs/documentai_v1beta3/types_.rst b/owl-bot-staging/google-cloud-documentai/v1beta3/docs/documentai_v1beta3/types_.rst new file mode 100644 index 000000000000..31b489da1ca7 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/docs/documentai_v1beta3/types_.rst @@ -0,0 +1,6 @@ +Types for Google Cloud Documentai v1beta3 API +============================================= + +.. automodule:: google.cloud.documentai_v1beta3.types + :members: + :show-inheritance: diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/docs/index.rst b/owl-bot-staging/google-cloud-documentai/v1beta3/docs/index.rst new file mode 100644 index 000000000000..f4d3a84d9471 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/docs/index.rst @@ -0,0 +1,7 @@ +API Reference +------------- +.. toctree:: + :maxdepth: 2 + + documentai_v1beta3/services + documentai_v1beta3/types diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai/__init__.py b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai/__init__.py new file mode 100644 index 000000000000..8747e3c592b6 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai/__init__.py @@ -0,0 +1,231 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from google.cloud.documentai import gapic_version as package_version + +__version__ = package_version.__version__ + + +from google.cloud.documentai_v1beta3.services.document_processor_service.client import DocumentProcessorServiceClient +from google.cloud.documentai_v1beta3.services.document_processor_service.async_client import DocumentProcessorServiceAsyncClient +from google.cloud.documentai_v1beta3.services.document_service.client import DocumentServiceClient +from google.cloud.documentai_v1beta3.services.document_service.async_client import DocumentServiceAsyncClient + +from google.cloud.documentai_v1beta3.types.barcode import Barcode +from google.cloud.documentai_v1beta3.types.dataset import BatchDatasetDocuments +from google.cloud.documentai_v1beta3.types.dataset import Dataset +from google.cloud.documentai_v1beta3.types.dataset import DatasetSchema +from google.cloud.documentai_v1beta3.types.dataset import DocumentId +from google.cloud.documentai_v1beta3.types.document import Document +from google.cloud.documentai_v1beta3.types.document import RevisionRef +from google.cloud.documentai_v1beta3.types.document_io import BatchDocumentsInputConfig +from google.cloud.documentai_v1beta3.types.document_io import DocumentOutputConfig +from google.cloud.documentai_v1beta3.types.document_io import GcsDocument +from google.cloud.documentai_v1beta3.types.document_io import GcsDocuments +from google.cloud.documentai_v1beta3.types.document_io import GcsPrefix +from google.cloud.documentai_v1beta3.types.document_io import OcrConfig +from google.cloud.documentai_v1beta3.types.document_io import RawDocument +from google.cloud.documentai_v1beta3.types.document_processor_service import BatchProcessMetadata +from google.cloud.documentai_v1beta3.types.document_processor_service import BatchProcessRequest +from google.cloud.documentai_v1beta3.types.document_processor_service import BatchProcessResponse +from google.cloud.documentai_v1beta3.types.document_processor_service import CreateProcessorRequest +from google.cloud.documentai_v1beta3.types.document_processor_service import DeleteProcessorMetadata +from google.cloud.documentai_v1beta3.types.document_processor_service import DeleteProcessorRequest +from google.cloud.documentai_v1beta3.types.document_processor_service import DeleteProcessorVersionMetadata +from google.cloud.documentai_v1beta3.types.document_processor_service import DeleteProcessorVersionRequest +from google.cloud.documentai_v1beta3.types.document_processor_service import DeployProcessorVersionMetadata +from google.cloud.documentai_v1beta3.types.document_processor_service import DeployProcessorVersionRequest +from google.cloud.documentai_v1beta3.types.document_processor_service import DeployProcessorVersionResponse +from google.cloud.documentai_v1beta3.types.document_processor_service import DisableProcessorMetadata +from google.cloud.documentai_v1beta3.types.document_processor_service import DisableProcessorRequest +from google.cloud.documentai_v1beta3.types.document_processor_service import DisableProcessorResponse +from google.cloud.documentai_v1beta3.types.document_processor_service import EnableProcessorMetadata +from google.cloud.documentai_v1beta3.types.document_processor_service import EnableProcessorRequest +from google.cloud.documentai_v1beta3.types.document_processor_service import EnableProcessorResponse +from google.cloud.documentai_v1beta3.types.document_processor_service import EvaluateProcessorVersionMetadata +from google.cloud.documentai_v1beta3.types.document_processor_service import EvaluateProcessorVersionRequest +from google.cloud.documentai_v1beta3.types.document_processor_service import EvaluateProcessorVersionResponse +from google.cloud.documentai_v1beta3.types.document_processor_service import FetchProcessorTypesRequest +from google.cloud.documentai_v1beta3.types.document_processor_service import FetchProcessorTypesResponse +from google.cloud.documentai_v1beta3.types.document_processor_service import GetEvaluationRequest +from google.cloud.documentai_v1beta3.types.document_processor_service import GetProcessorRequest +from google.cloud.documentai_v1beta3.types.document_processor_service import GetProcessorTypeRequest +from google.cloud.documentai_v1beta3.types.document_processor_service import GetProcessorVersionRequest +from google.cloud.documentai_v1beta3.types.document_processor_service import HumanReviewStatus +from google.cloud.documentai_v1beta3.types.document_processor_service import ImportProcessorVersionMetadata +from google.cloud.documentai_v1beta3.types.document_processor_service import ImportProcessorVersionRequest +from google.cloud.documentai_v1beta3.types.document_processor_service import ImportProcessorVersionResponse +from google.cloud.documentai_v1beta3.types.document_processor_service import ListEvaluationsRequest +from google.cloud.documentai_v1beta3.types.document_processor_service import ListEvaluationsResponse +from google.cloud.documentai_v1beta3.types.document_processor_service import ListProcessorsRequest +from google.cloud.documentai_v1beta3.types.document_processor_service import ListProcessorsResponse +from google.cloud.documentai_v1beta3.types.document_processor_service import ListProcessorTypesRequest +from google.cloud.documentai_v1beta3.types.document_processor_service import ListProcessorTypesResponse +from google.cloud.documentai_v1beta3.types.document_processor_service import ListProcessorVersionsRequest +from google.cloud.documentai_v1beta3.types.document_processor_service import ListProcessorVersionsResponse +from google.cloud.documentai_v1beta3.types.document_processor_service import ProcessOptions +from google.cloud.documentai_v1beta3.types.document_processor_service import ProcessRequest +from google.cloud.documentai_v1beta3.types.document_processor_service import ProcessResponse +from google.cloud.documentai_v1beta3.types.document_processor_service import ReviewDocumentOperationMetadata +from google.cloud.documentai_v1beta3.types.document_processor_service import ReviewDocumentRequest +from google.cloud.documentai_v1beta3.types.document_processor_service import ReviewDocumentResponse +from google.cloud.documentai_v1beta3.types.document_processor_service import SetDefaultProcessorVersionMetadata +from google.cloud.documentai_v1beta3.types.document_processor_service import SetDefaultProcessorVersionRequest +from google.cloud.documentai_v1beta3.types.document_processor_service import SetDefaultProcessorVersionResponse +from google.cloud.documentai_v1beta3.types.document_processor_service import TrainProcessorVersionMetadata +from google.cloud.documentai_v1beta3.types.document_processor_service import TrainProcessorVersionRequest +from google.cloud.documentai_v1beta3.types.document_processor_service import TrainProcessorVersionResponse +from google.cloud.documentai_v1beta3.types.document_processor_service import UndeployProcessorVersionMetadata +from google.cloud.documentai_v1beta3.types.document_processor_service import UndeployProcessorVersionRequest +from google.cloud.documentai_v1beta3.types.document_processor_service import UndeployProcessorVersionResponse +from google.cloud.documentai_v1beta3.types.document_schema import DocumentSchema +from google.cloud.documentai_v1beta3.types.document_schema import EntityTypeMetadata +from google.cloud.documentai_v1beta3.types.document_schema import FieldExtractionMetadata +from google.cloud.documentai_v1beta3.types.document_schema import PropertyMetadata +from google.cloud.documentai_v1beta3.types.document_schema import SummaryOptions +from google.cloud.documentai_v1beta3.types.document_service import BatchDeleteDocumentsMetadata +from google.cloud.documentai_v1beta3.types.document_service import BatchDeleteDocumentsRequest +from google.cloud.documentai_v1beta3.types.document_service import BatchDeleteDocumentsResponse +from google.cloud.documentai_v1beta3.types.document_service import DocumentMetadata +from google.cloud.documentai_v1beta3.types.document_service import DocumentPageRange +from google.cloud.documentai_v1beta3.types.document_service import GetDatasetSchemaRequest +from google.cloud.documentai_v1beta3.types.document_service import GetDocumentRequest +from google.cloud.documentai_v1beta3.types.document_service import GetDocumentResponse +from google.cloud.documentai_v1beta3.types.document_service import ImportDocumentsMetadata +from google.cloud.documentai_v1beta3.types.document_service import ImportDocumentsRequest +from google.cloud.documentai_v1beta3.types.document_service import ImportDocumentsResponse +from google.cloud.documentai_v1beta3.types.document_service import ListDocumentsRequest +from google.cloud.documentai_v1beta3.types.document_service import ListDocumentsResponse +from google.cloud.documentai_v1beta3.types.document_service import UpdateDatasetOperationMetadata +from google.cloud.documentai_v1beta3.types.document_service import UpdateDatasetRequest +from google.cloud.documentai_v1beta3.types.document_service import UpdateDatasetSchemaRequest +from google.cloud.documentai_v1beta3.types.document_service import DatasetSplitType +from google.cloud.documentai_v1beta3.types.document_service import DocumentLabelingState +from google.cloud.documentai_v1beta3.types.evaluation import Evaluation +from google.cloud.documentai_v1beta3.types.evaluation import EvaluationReference +from google.cloud.documentai_v1beta3.types.geometry import BoundingPoly +from google.cloud.documentai_v1beta3.types.geometry import NormalizedVertex +from google.cloud.documentai_v1beta3.types.geometry import Vertex +from google.cloud.documentai_v1beta3.types.operation_metadata import CommonOperationMetadata +from google.cloud.documentai_v1beta3.types.processor import Processor +from google.cloud.documentai_v1beta3.types.processor import ProcessorVersion +from google.cloud.documentai_v1beta3.types.processor import ProcessorVersionAlias +from google.cloud.documentai_v1beta3.types.processor_type import ProcessorType + +__all__ = ('DocumentProcessorServiceClient', + 'DocumentProcessorServiceAsyncClient', + 'DocumentServiceClient', + 'DocumentServiceAsyncClient', + 'Barcode', + 'BatchDatasetDocuments', + 'Dataset', + 'DatasetSchema', + 'DocumentId', + 'Document', + 'RevisionRef', + 'BatchDocumentsInputConfig', + 'DocumentOutputConfig', + 'GcsDocument', + 'GcsDocuments', + 'GcsPrefix', + 'OcrConfig', + 'RawDocument', + 'BatchProcessMetadata', + 'BatchProcessRequest', + 'BatchProcessResponse', + 'CreateProcessorRequest', + 'DeleteProcessorMetadata', + 'DeleteProcessorRequest', + 'DeleteProcessorVersionMetadata', + 'DeleteProcessorVersionRequest', + 'DeployProcessorVersionMetadata', + 'DeployProcessorVersionRequest', + 'DeployProcessorVersionResponse', + 'DisableProcessorMetadata', + 'DisableProcessorRequest', + 'DisableProcessorResponse', + 'EnableProcessorMetadata', + 'EnableProcessorRequest', + 'EnableProcessorResponse', + 'EvaluateProcessorVersionMetadata', + 'EvaluateProcessorVersionRequest', + 'EvaluateProcessorVersionResponse', + 'FetchProcessorTypesRequest', + 'FetchProcessorTypesResponse', + 'GetEvaluationRequest', + 'GetProcessorRequest', + 'GetProcessorTypeRequest', + 'GetProcessorVersionRequest', + 'HumanReviewStatus', + 'ImportProcessorVersionMetadata', + 'ImportProcessorVersionRequest', + 'ImportProcessorVersionResponse', + 'ListEvaluationsRequest', + 'ListEvaluationsResponse', + 'ListProcessorsRequest', + 'ListProcessorsResponse', + 'ListProcessorTypesRequest', + 'ListProcessorTypesResponse', + 'ListProcessorVersionsRequest', + 'ListProcessorVersionsResponse', + 'ProcessOptions', + 'ProcessRequest', + 'ProcessResponse', + 'ReviewDocumentOperationMetadata', + 'ReviewDocumentRequest', + 'ReviewDocumentResponse', + 'SetDefaultProcessorVersionMetadata', + 'SetDefaultProcessorVersionRequest', + 'SetDefaultProcessorVersionResponse', + 'TrainProcessorVersionMetadata', + 'TrainProcessorVersionRequest', + 'TrainProcessorVersionResponse', + 'UndeployProcessorVersionMetadata', + 'UndeployProcessorVersionRequest', + 'UndeployProcessorVersionResponse', + 'DocumentSchema', + 'EntityTypeMetadata', + 'FieldExtractionMetadata', + 'PropertyMetadata', + 'SummaryOptions', + 'BatchDeleteDocumentsMetadata', + 'BatchDeleteDocumentsRequest', + 'BatchDeleteDocumentsResponse', + 'DocumentMetadata', + 'DocumentPageRange', + 'GetDatasetSchemaRequest', + 'GetDocumentRequest', + 'GetDocumentResponse', + 'ImportDocumentsMetadata', + 'ImportDocumentsRequest', + 'ImportDocumentsResponse', + 'ListDocumentsRequest', + 'ListDocumentsResponse', + 'UpdateDatasetOperationMetadata', + 'UpdateDatasetRequest', + 'UpdateDatasetSchemaRequest', + 'DatasetSplitType', + 'DocumentLabelingState', + 'Evaluation', + 'EvaluationReference', + 'BoundingPoly', + 'NormalizedVertex', + 'Vertex', + 'CommonOperationMetadata', + 'Processor', + 'ProcessorVersion', + 'ProcessorVersionAlias', + 'ProcessorType', +) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai/gapic_version.py b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai/gapic_version.py new file mode 100644 index 000000000000..558c8aab67c5 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai/gapic_version.py @@ -0,0 +1,16 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +__version__ = "0.0.0" # {x-release-please-version} diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai/py.typed b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai/py.typed new file mode 100644 index 000000000000..81b450017987 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai/py.typed @@ -0,0 +1,2 @@ +# Marker file for PEP 561. +# The google-cloud-documentai package uses inline types. diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/__init__.py b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/__init__.py new file mode 100644 index 000000000000..5267fe027909 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/__init__.py @@ -0,0 +1,232 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from google.cloud.documentai_v1beta3 import gapic_version as package_version + +__version__ = package_version.__version__ + + +from .services.document_processor_service import DocumentProcessorServiceClient +from .services.document_processor_service import DocumentProcessorServiceAsyncClient +from .services.document_service import DocumentServiceClient +from .services.document_service import DocumentServiceAsyncClient + +from .types.barcode import Barcode +from .types.dataset import BatchDatasetDocuments +from .types.dataset import Dataset +from .types.dataset import DatasetSchema +from .types.dataset import DocumentId +from .types.document import Document +from .types.document import RevisionRef +from .types.document_io import BatchDocumentsInputConfig +from .types.document_io import DocumentOutputConfig +from .types.document_io import GcsDocument +from .types.document_io import GcsDocuments +from .types.document_io import GcsPrefix +from .types.document_io import OcrConfig +from .types.document_io import RawDocument +from .types.document_processor_service import BatchProcessMetadata +from .types.document_processor_service import BatchProcessRequest +from .types.document_processor_service import BatchProcessResponse +from .types.document_processor_service import CreateProcessorRequest +from .types.document_processor_service import DeleteProcessorMetadata +from .types.document_processor_service import DeleteProcessorRequest +from .types.document_processor_service import DeleteProcessorVersionMetadata +from .types.document_processor_service import DeleteProcessorVersionRequest +from .types.document_processor_service import DeployProcessorVersionMetadata +from .types.document_processor_service import DeployProcessorVersionRequest +from .types.document_processor_service import DeployProcessorVersionResponse +from .types.document_processor_service import DisableProcessorMetadata +from .types.document_processor_service import DisableProcessorRequest +from .types.document_processor_service import DisableProcessorResponse +from .types.document_processor_service import EnableProcessorMetadata +from .types.document_processor_service import EnableProcessorRequest +from .types.document_processor_service import EnableProcessorResponse +from .types.document_processor_service import EvaluateProcessorVersionMetadata +from .types.document_processor_service import EvaluateProcessorVersionRequest +from .types.document_processor_service import EvaluateProcessorVersionResponse +from .types.document_processor_service import FetchProcessorTypesRequest +from .types.document_processor_service import FetchProcessorTypesResponse +from .types.document_processor_service import GetEvaluationRequest +from .types.document_processor_service import GetProcessorRequest +from .types.document_processor_service import GetProcessorTypeRequest +from .types.document_processor_service import GetProcessorVersionRequest +from .types.document_processor_service import HumanReviewStatus +from .types.document_processor_service import ImportProcessorVersionMetadata +from .types.document_processor_service import ImportProcessorVersionRequest +from .types.document_processor_service import ImportProcessorVersionResponse +from .types.document_processor_service import ListEvaluationsRequest +from .types.document_processor_service import ListEvaluationsResponse +from .types.document_processor_service import ListProcessorsRequest +from .types.document_processor_service import ListProcessorsResponse +from .types.document_processor_service import ListProcessorTypesRequest +from .types.document_processor_service import ListProcessorTypesResponse +from .types.document_processor_service import ListProcessorVersionsRequest +from .types.document_processor_service import ListProcessorVersionsResponse +from .types.document_processor_service import ProcessOptions +from .types.document_processor_service import ProcessRequest +from .types.document_processor_service import ProcessResponse +from .types.document_processor_service import ReviewDocumentOperationMetadata +from .types.document_processor_service import ReviewDocumentRequest +from .types.document_processor_service import ReviewDocumentResponse +from .types.document_processor_service import SetDefaultProcessorVersionMetadata +from .types.document_processor_service import SetDefaultProcessorVersionRequest +from .types.document_processor_service import SetDefaultProcessorVersionResponse +from .types.document_processor_service import TrainProcessorVersionMetadata +from .types.document_processor_service import TrainProcessorVersionRequest +from .types.document_processor_service import TrainProcessorVersionResponse +from .types.document_processor_service import UndeployProcessorVersionMetadata +from .types.document_processor_service import UndeployProcessorVersionRequest +from .types.document_processor_service import UndeployProcessorVersionResponse +from .types.document_schema import DocumentSchema +from .types.document_schema import EntityTypeMetadata +from .types.document_schema import FieldExtractionMetadata +from .types.document_schema import PropertyMetadata +from .types.document_schema import SummaryOptions +from .types.document_service import BatchDeleteDocumentsMetadata +from .types.document_service import BatchDeleteDocumentsRequest +from .types.document_service import BatchDeleteDocumentsResponse +from .types.document_service import DocumentMetadata +from .types.document_service import DocumentPageRange +from .types.document_service import GetDatasetSchemaRequest +from .types.document_service import GetDocumentRequest +from .types.document_service import GetDocumentResponse +from .types.document_service import ImportDocumentsMetadata +from .types.document_service import ImportDocumentsRequest +from .types.document_service import ImportDocumentsResponse +from .types.document_service import ListDocumentsRequest +from .types.document_service import ListDocumentsResponse +from .types.document_service import UpdateDatasetOperationMetadata +from .types.document_service import UpdateDatasetRequest +from .types.document_service import UpdateDatasetSchemaRequest +from .types.document_service import DatasetSplitType +from .types.document_service import DocumentLabelingState +from .types.evaluation import Evaluation +from .types.evaluation import EvaluationReference +from .types.geometry import BoundingPoly +from .types.geometry import NormalizedVertex +from .types.geometry import Vertex +from .types.operation_metadata import CommonOperationMetadata +from .types.processor import Processor +from .types.processor import ProcessorVersion +from .types.processor import ProcessorVersionAlias +from .types.processor_type import ProcessorType + +__all__ = ( + 'DocumentProcessorServiceAsyncClient', + 'DocumentServiceAsyncClient', +'Barcode', +'BatchDatasetDocuments', +'BatchDeleteDocumentsMetadata', +'BatchDeleteDocumentsRequest', +'BatchDeleteDocumentsResponse', +'BatchDocumentsInputConfig', +'BatchProcessMetadata', +'BatchProcessRequest', +'BatchProcessResponse', +'BoundingPoly', +'CommonOperationMetadata', +'CreateProcessorRequest', +'Dataset', +'DatasetSchema', +'DatasetSplitType', +'DeleteProcessorMetadata', +'DeleteProcessorRequest', +'DeleteProcessorVersionMetadata', +'DeleteProcessorVersionRequest', +'DeployProcessorVersionMetadata', +'DeployProcessorVersionRequest', +'DeployProcessorVersionResponse', +'DisableProcessorMetadata', +'DisableProcessorRequest', +'DisableProcessorResponse', +'Document', +'DocumentId', +'DocumentLabelingState', +'DocumentMetadata', +'DocumentOutputConfig', +'DocumentPageRange', +'DocumentProcessorServiceClient', +'DocumentSchema', +'DocumentServiceClient', +'EnableProcessorMetadata', +'EnableProcessorRequest', +'EnableProcessorResponse', +'EntityTypeMetadata', +'EvaluateProcessorVersionMetadata', +'EvaluateProcessorVersionRequest', +'EvaluateProcessorVersionResponse', +'Evaluation', +'EvaluationReference', +'FetchProcessorTypesRequest', +'FetchProcessorTypesResponse', +'FieldExtractionMetadata', +'GcsDocument', +'GcsDocuments', +'GcsPrefix', +'GetDatasetSchemaRequest', +'GetDocumentRequest', +'GetDocumentResponse', +'GetEvaluationRequest', +'GetProcessorRequest', +'GetProcessorTypeRequest', +'GetProcessorVersionRequest', +'HumanReviewStatus', +'ImportDocumentsMetadata', +'ImportDocumentsRequest', +'ImportDocumentsResponse', +'ImportProcessorVersionMetadata', +'ImportProcessorVersionRequest', +'ImportProcessorVersionResponse', +'ListDocumentsRequest', +'ListDocumentsResponse', +'ListEvaluationsRequest', +'ListEvaluationsResponse', +'ListProcessorTypesRequest', +'ListProcessorTypesResponse', +'ListProcessorVersionsRequest', +'ListProcessorVersionsResponse', +'ListProcessorsRequest', +'ListProcessorsResponse', +'NormalizedVertex', +'OcrConfig', +'ProcessOptions', +'ProcessRequest', +'ProcessResponse', +'Processor', +'ProcessorType', +'ProcessorVersion', +'ProcessorVersionAlias', +'PropertyMetadata', +'RawDocument', +'ReviewDocumentOperationMetadata', +'ReviewDocumentRequest', +'ReviewDocumentResponse', +'RevisionRef', +'SetDefaultProcessorVersionMetadata', +'SetDefaultProcessorVersionRequest', +'SetDefaultProcessorVersionResponse', +'SummaryOptions', +'TrainProcessorVersionMetadata', +'TrainProcessorVersionRequest', +'TrainProcessorVersionResponse', +'UndeployProcessorVersionMetadata', +'UndeployProcessorVersionRequest', +'UndeployProcessorVersionResponse', +'UpdateDatasetOperationMetadata', +'UpdateDatasetRequest', +'UpdateDatasetSchemaRequest', +'Vertex', +) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/gapic_metadata.json b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/gapic_metadata.json new file mode 100644 index 000000000000..9d32da0a443b --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/gapic_metadata.json @@ -0,0 +1,497 @@ + { + "comment": "This file maps proto services/RPCs to the corresponding library clients/methods", + "language": "python", + "libraryPackage": "google.cloud.documentai_v1beta3", + "protoPackage": "google.cloud.documentai.v1beta3", + "schema": "1.0", + "services": { + "DocumentProcessorService": { + "clients": { + "grpc": { + "libraryClient": "DocumentProcessorServiceClient", + "rpcs": { + "BatchProcessDocuments": { + "methods": [ + "batch_process_documents" + ] + }, + "CreateProcessor": { + "methods": [ + "create_processor" + ] + }, + "DeleteProcessor": { + "methods": [ + "delete_processor" + ] + }, + "DeleteProcessorVersion": { + "methods": [ + "delete_processor_version" + ] + }, + "DeployProcessorVersion": { + "methods": [ + "deploy_processor_version" + ] + }, + "DisableProcessor": { + "methods": [ + "disable_processor" + ] + }, + "EnableProcessor": { + "methods": [ + "enable_processor" + ] + }, + "EvaluateProcessorVersion": { + "methods": [ + "evaluate_processor_version" + ] + }, + "FetchProcessorTypes": { + "methods": [ + "fetch_processor_types" + ] + }, + "GetEvaluation": { + "methods": [ + "get_evaluation" + ] + }, + "GetProcessor": { + "methods": [ + "get_processor" + ] + }, + "GetProcessorType": { + "methods": [ + "get_processor_type" + ] + }, + "GetProcessorVersion": { + "methods": [ + "get_processor_version" + ] + }, + "ImportProcessorVersion": { + "methods": [ + "import_processor_version" + ] + }, + "ListEvaluations": { + "methods": [ + "list_evaluations" + ] + }, + "ListProcessorTypes": { + "methods": [ + "list_processor_types" + ] + }, + "ListProcessorVersions": { + "methods": [ + "list_processor_versions" + ] + }, + "ListProcessors": { + "methods": [ + "list_processors" + ] + }, + "ProcessDocument": { + "methods": [ + "process_document" + ] + }, + "ReviewDocument": { + "methods": [ + "review_document" + ] + }, + "SetDefaultProcessorVersion": { + "methods": [ + "set_default_processor_version" + ] + }, + "TrainProcessorVersion": { + "methods": [ + "train_processor_version" + ] + }, + "UndeployProcessorVersion": { + "methods": [ + "undeploy_processor_version" + ] + } + } + }, + "grpc-async": { + "libraryClient": "DocumentProcessorServiceAsyncClient", + "rpcs": { + "BatchProcessDocuments": { + "methods": [ + "batch_process_documents" + ] + }, + "CreateProcessor": { + "methods": [ + "create_processor" + ] + }, + "DeleteProcessor": { + "methods": [ + "delete_processor" + ] + }, + "DeleteProcessorVersion": { + "methods": [ + "delete_processor_version" + ] + }, + "DeployProcessorVersion": { + "methods": [ + "deploy_processor_version" + ] + }, + "DisableProcessor": { + "methods": [ + "disable_processor" + ] + }, + "EnableProcessor": { + "methods": [ + "enable_processor" + ] + }, + "EvaluateProcessorVersion": { + "methods": [ + "evaluate_processor_version" + ] + }, + "FetchProcessorTypes": { + "methods": [ + "fetch_processor_types" + ] + }, + "GetEvaluation": { + "methods": [ + "get_evaluation" + ] + }, + "GetProcessor": { + "methods": [ + "get_processor" + ] + }, + "GetProcessorType": { + "methods": [ + "get_processor_type" + ] + }, + "GetProcessorVersion": { + "methods": [ + "get_processor_version" + ] + }, + "ImportProcessorVersion": { + "methods": [ + "import_processor_version" + ] + }, + "ListEvaluations": { + "methods": [ + "list_evaluations" + ] + }, + "ListProcessorTypes": { + "methods": [ + "list_processor_types" + ] + }, + "ListProcessorVersions": { + "methods": [ + "list_processor_versions" + ] + }, + "ListProcessors": { + "methods": [ + "list_processors" + ] + }, + "ProcessDocument": { + "methods": [ + "process_document" + ] + }, + "ReviewDocument": { + "methods": [ + "review_document" + ] + }, + "SetDefaultProcessorVersion": { + "methods": [ + "set_default_processor_version" + ] + }, + "TrainProcessorVersion": { + "methods": [ + "train_processor_version" + ] + }, + "UndeployProcessorVersion": { + "methods": [ + "undeploy_processor_version" + ] + } + } + }, + "rest": { + "libraryClient": "DocumentProcessorServiceClient", + "rpcs": { + "BatchProcessDocuments": { + "methods": [ + "batch_process_documents" + ] + }, + "CreateProcessor": { + "methods": [ + "create_processor" + ] + }, + "DeleteProcessor": { + "methods": [ + "delete_processor" + ] + }, + "DeleteProcessorVersion": { + "methods": [ + "delete_processor_version" + ] + }, + "DeployProcessorVersion": { + "methods": [ + "deploy_processor_version" + ] + }, + "DisableProcessor": { + "methods": [ + "disable_processor" + ] + }, + "EnableProcessor": { + "methods": [ + "enable_processor" + ] + }, + "EvaluateProcessorVersion": { + "methods": [ + "evaluate_processor_version" + ] + }, + "FetchProcessorTypes": { + "methods": [ + "fetch_processor_types" + ] + }, + "GetEvaluation": { + "methods": [ + "get_evaluation" + ] + }, + "GetProcessor": { + "methods": [ + "get_processor" + ] + }, + "GetProcessorType": { + "methods": [ + "get_processor_type" + ] + }, + "GetProcessorVersion": { + "methods": [ + "get_processor_version" + ] + }, + "ImportProcessorVersion": { + "methods": [ + "import_processor_version" + ] + }, + "ListEvaluations": { + "methods": [ + "list_evaluations" + ] + }, + "ListProcessorTypes": { + "methods": [ + "list_processor_types" + ] + }, + "ListProcessorVersions": { + "methods": [ + "list_processor_versions" + ] + }, + "ListProcessors": { + "methods": [ + "list_processors" + ] + }, + "ProcessDocument": { + "methods": [ + "process_document" + ] + }, + "ReviewDocument": { + "methods": [ + "review_document" + ] + }, + "SetDefaultProcessorVersion": { + "methods": [ + "set_default_processor_version" + ] + }, + "TrainProcessorVersion": { + "methods": [ + "train_processor_version" + ] + }, + "UndeployProcessorVersion": { + "methods": [ + "undeploy_processor_version" + ] + } + } + } + } + }, + "DocumentService": { + "clients": { + "grpc": { + "libraryClient": "DocumentServiceClient", + "rpcs": { + "BatchDeleteDocuments": { + "methods": [ + "batch_delete_documents" + ] + }, + "GetDatasetSchema": { + "methods": [ + "get_dataset_schema" + ] + }, + "GetDocument": { + "methods": [ + "get_document" + ] + }, + "ImportDocuments": { + "methods": [ + "import_documents" + ] + }, + "ListDocuments": { + "methods": [ + "list_documents" + ] + }, + "UpdateDataset": { + "methods": [ + "update_dataset" + ] + }, + "UpdateDatasetSchema": { + "methods": [ + "update_dataset_schema" + ] + } + } + }, + "grpc-async": { + "libraryClient": "DocumentServiceAsyncClient", + "rpcs": { + "BatchDeleteDocuments": { + "methods": [ + "batch_delete_documents" + ] + }, + "GetDatasetSchema": { + "methods": [ + "get_dataset_schema" + ] + }, + "GetDocument": { + "methods": [ + "get_document" + ] + }, + "ImportDocuments": { + "methods": [ + "import_documents" + ] + }, + "ListDocuments": { + "methods": [ + "list_documents" + ] + }, + "UpdateDataset": { + "methods": [ + "update_dataset" + ] + }, + "UpdateDatasetSchema": { + "methods": [ + "update_dataset_schema" + ] + } + } + }, + "rest": { + "libraryClient": "DocumentServiceClient", + "rpcs": { + "BatchDeleteDocuments": { + "methods": [ + "batch_delete_documents" + ] + }, + "GetDatasetSchema": { + "methods": [ + "get_dataset_schema" + ] + }, + "GetDocument": { + "methods": [ + "get_document" + ] + }, + "ImportDocuments": { + "methods": [ + "import_documents" + ] + }, + "ListDocuments": { + "methods": [ + "list_documents" + ] + }, + "UpdateDataset": { + "methods": [ + "update_dataset" + ] + }, + "UpdateDatasetSchema": { + "methods": [ + "update_dataset_schema" + ] + } + } + } + } + } + } +} diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/gapic_version.py b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/gapic_version.py new file mode 100644 index 000000000000..558c8aab67c5 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/gapic_version.py @@ -0,0 +1,16 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +__version__ = "0.0.0" # {x-release-please-version} diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/py.typed b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/py.typed new file mode 100644 index 000000000000..81b450017987 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/py.typed @@ -0,0 +1,2 @@ +# Marker file for PEP 561. +# The google-cloud-documentai package uses inline types. diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/__init__.py b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/__init__.py new file mode 100644 index 000000000000..8f6cf068242c --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/__init__.py @@ -0,0 +1,15 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_processor_service/__init__.py b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_processor_service/__init__.py new file mode 100644 index 000000000000..326eb2c14112 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_processor_service/__init__.py @@ -0,0 +1,22 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from .client import DocumentProcessorServiceClient +from .async_client import DocumentProcessorServiceAsyncClient + +__all__ = ( + 'DocumentProcessorServiceClient', + 'DocumentProcessorServiceAsyncClient', +) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_processor_service/async_client.py b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_processor_service/async_client.py new file mode 100644 index 000000000000..bd9e621b0661 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_processor_service/async_client.py @@ -0,0 +1,3266 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +import functools +import re +from typing import Dict, Mapping, MutableMapping, MutableSequence, Optional, Sequence, Tuple, Type, Union + +from google.cloud.documentai_v1beta3 import gapic_version as package_version + +from google.api_core.client_options import ClientOptions +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry_async as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore + +try: + OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.AsyncRetry, object, None] # type: ignore + +from google.api import launch_stage_pb2 # type: ignore +from google.api_core import operation # type: ignore +from google.api_core import operation_async # type: ignore +from google.cloud.documentai_v1beta3.services.document_processor_service import pagers +from google.cloud.documentai_v1beta3.types import document +from google.cloud.documentai_v1beta3.types import document_processor_service +from google.cloud.documentai_v1beta3.types import document_schema +from google.cloud.documentai_v1beta3.types import evaluation +from google.cloud.documentai_v1beta3.types import processor +from google.cloud.documentai_v1beta3.types import processor as gcd_processor +from google.cloud.documentai_v1beta3.types import processor_type +from google.cloud.location import locations_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +from google.protobuf import empty_pb2 # type: ignore +from google.protobuf import timestamp_pb2 # type: ignore +from .transports.base import DocumentProcessorServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc_asyncio import DocumentProcessorServiceGrpcAsyncIOTransport +from .client import DocumentProcessorServiceClient + + +class DocumentProcessorServiceAsyncClient: + """Service to call Document AI to process documents according to + the processor's definition. Processors are built using + state-of-the-art Google AI such as natural language, computer + vision, and translation to extract structured information from + unstructured or semi-structured documents. + """ + + _client: DocumentProcessorServiceClient + + # Copy defaults from the synchronous client for use here. + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = DocumentProcessorServiceClient.DEFAULT_ENDPOINT + DEFAULT_MTLS_ENDPOINT = DocumentProcessorServiceClient.DEFAULT_MTLS_ENDPOINT + _DEFAULT_ENDPOINT_TEMPLATE = DocumentProcessorServiceClient._DEFAULT_ENDPOINT_TEMPLATE + _DEFAULT_UNIVERSE = DocumentProcessorServiceClient._DEFAULT_UNIVERSE + + evaluation_path = staticmethod(DocumentProcessorServiceClient.evaluation_path) + parse_evaluation_path = staticmethod(DocumentProcessorServiceClient.parse_evaluation_path) + human_review_config_path = staticmethod(DocumentProcessorServiceClient.human_review_config_path) + parse_human_review_config_path = staticmethod(DocumentProcessorServiceClient.parse_human_review_config_path) + processor_path = staticmethod(DocumentProcessorServiceClient.processor_path) + parse_processor_path = staticmethod(DocumentProcessorServiceClient.parse_processor_path) + processor_type_path = staticmethod(DocumentProcessorServiceClient.processor_type_path) + parse_processor_type_path = staticmethod(DocumentProcessorServiceClient.parse_processor_type_path) + processor_version_path = staticmethod(DocumentProcessorServiceClient.processor_version_path) + parse_processor_version_path = staticmethod(DocumentProcessorServiceClient.parse_processor_version_path) + common_billing_account_path = staticmethod(DocumentProcessorServiceClient.common_billing_account_path) + parse_common_billing_account_path = staticmethod(DocumentProcessorServiceClient.parse_common_billing_account_path) + common_folder_path = staticmethod(DocumentProcessorServiceClient.common_folder_path) + parse_common_folder_path = staticmethod(DocumentProcessorServiceClient.parse_common_folder_path) + common_organization_path = staticmethod(DocumentProcessorServiceClient.common_organization_path) + parse_common_organization_path = staticmethod(DocumentProcessorServiceClient.parse_common_organization_path) + common_project_path = staticmethod(DocumentProcessorServiceClient.common_project_path) + parse_common_project_path = staticmethod(DocumentProcessorServiceClient.parse_common_project_path) + common_location_path = staticmethod(DocumentProcessorServiceClient.common_location_path) + parse_common_location_path = staticmethod(DocumentProcessorServiceClient.parse_common_location_path) + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + DocumentProcessorServiceAsyncClient: The constructed client. + """ + return DocumentProcessorServiceClient.from_service_account_info.__func__(DocumentProcessorServiceAsyncClient, info, *args, **kwargs) # type: ignore + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + DocumentProcessorServiceAsyncClient: The constructed client. + """ + return DocumentProcessorServiceClient.from_service_account_file.__func__(DocumentProcessorServiceAsyncClient, filename, *args, **kwargs) # type: ignore + + from_service_account_json = from_service_account_file + + @classmethod + def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[ClientOptions] = None): + """Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + return DocumentProcessorServiceClient.get_mtls_endpoint_and_cert_source(client_options) # type: ignore + + @property + def transport(self) -> DocumentProcessorServiceTransport: + """Returns the transport used by the client instance. + + Returns: + DocumentProcessorServiceTransport: The transport used by the client instance. + """ + return self._client.transport + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._client._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used + by the client instance. + """ + return self._client._universe_domain + + get_transport_class = functools.partial(type(DocumentProcessorServiceClient).get_transport_class, type(DocumentProcessorServiceClient)) + + def __init__(self, *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Union[str, DocumentProcessorServiceTransport] = "grpc_asyncio", + client_options: Optional[ClientOptions] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the document processor service async client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Union[str, ~.DocumentProcessorServiceTransport]): The + transport to use. If set to None, a transport is chosen + automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client = DocumentProcessorServiceClient( + credentials=credentials, + transport=transport, + client_options=client_options, + client_info=client_info, + + ) + + async def process_document(self, + request: Optional[Union[document_processor_service.ProcessRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> document_processor_service.ProcessResponse: + r"""Processes a single document. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + async def sample_process_document(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + inline_document = documentai_v1beta3.Document() + inline_document.uri = "uri_value" + + request = documentai_v1beta3.ProcessRequest( + inline_document=inline_document, + name="name_value", + ) + + # Make the request + response = await client.process_document(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1beta3.types.ProcessRequest, dict]]): + The request object. Request message for the + [ProcessDocument][google.cloud.documentai.v1beta3.DocumentProcessorService.ProcessDocument] + method. + name (:class:`str`): + Required. The resource name of the + [Processor][google.cloud.documentai.v1beta3.Processor] + or + [ProcessorVersion][google.cloud.documentai.v1beta3.ProcessorVersion] + to use for processing. If a + [Processor][google.cloud.documentai.v1beta3.Processor] + is specified, the server will use its [default + version][google.cloud.documentai.v1beta3.Processor.default_processor_version]. + Format: + ``projects/{project}/locations/{location}/processors/{processor}``, + or + ``projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processorVersion}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1beta3.types.ProcessResponse: + Response message for the + [ProcessDocument][google.cloud.documentai.v1beta3.DocumentProcessorService.ProcessDocument] + method. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = document_processor_service.ProcessRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.process_document, + default_retry=retries.AsyncRetry( +initial=0.1,maximum=60.0,multiplier=1.3, predicate=retries.if_exception_type( + core_exceptions.DeadlineExceeded, + core_exceptions.ServiceUnavailable, + ), + deadline=300.0, + ), + default_timeout=300.0, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def batch_process_documents(self, + request: Optional[Union[document_processor_service.BatchProcessRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation_async.AsyncOperation: + r"""LRO endpoint to batch process many documents. The output is + written to Cloud Storage as JSON in the [Document] format. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + async def sample_batch_process_documents(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1beta3.BatchProcessRequest( + name="name_value", + ) + + # Make the request + operation = client.batch_process_documents(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1beta3.types.BatchProcessRequest, dict]]): + The request object. Request message for + [BatchProcessDocuments][google.cloud.documentai.v1beta3.DocumentProcessorService.BatchProcessDocuments]. + name (:class:`str`): + Required. The resource name of + [Processor][google.cloud.documentai.v1beta3.Processor] + or + [ProcessorVersion][google.cloud.documentai.v1beta3.ProcessorVersion]. + Format: + ``projects/{project}/locations/{location}/processors/{processor}``, + or + ``projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processorVersion}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.documentai_v1beta3.types.BatchProcessResponse` Response message for + [BatchProcessDocuments][google.cloud.documentai.v1beta3.DocumentProcessorService.BatchProcessDocuments]. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = document_processor_service.BatchProcessRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.batch_process_documents, + default_retry=retries.AsyncRetry( +initial=0.1,maximum=60.0,multiplier=1.3, predicate=retries.if_exception_type( + core_exceptions.DeadlineExceeded, + core_exceptions.ServiceUnavailable, + ), + deadline=120.0, + ), + default_timeout=120.0, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + document_processor_service.BatchProcessResponse, + metadata_type=document_processor_service.BatchProcessMetadata, + ) + + # Done; return the response. + return response + + async def fetch_processor_types(self, + request: Optional[Union[document_processor_service.FetchProcessorTypesRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> document_processor_service.FetchProcessorTypesResponse: + r"""Fetches processor types. Note that we don't use + [ListProcessorTypes][google.cloud.documentai.v1beta3.DocumentProcessorService.ListProcessorTypes] + here, because it isn't paginated. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + async def sample_fetch_processor_types(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1beta3.FetchProcessorTypesRequest( + parent="parent_value", + ) + + # Make the request + response = await client.fetch_processor_types(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1beta3.types.FetchProcessorTypesRequest, dict]]): + The request object. Request message for the + [FetchProcessorTypes][google.cloud.documentai.v1beta3.DocumentProcessorService.FetchProcessorTypes] + method. Some processor types may require the project be + added to an allowlist. + parent (:class:`str`): + Required. The location of processor types to list. + Format: ``projects/{project}/locations/{location}``. + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1beta3.types.FetchProcessorTypesResponse: + Response message for the + [FetchProcessorTypes][google.cloud.documentai.v1beta3.DocumentProcessorService.FetchProcessorTypes] + method. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([parent]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = document_processor_service.FetchProcessorTypesRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.fetch_processor_types, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_processor_types(self, + request: Optional[Union[document_processor_service.ListProcessorTypesRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> pagers.ListProcessorTypesAsyncPager: + r"""Lists the processor types that exist. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + async def sample_list_processor_types(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1beta3.ListProcessorTypesRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_processor_types(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1beta3.types.ListProcessorTypesRequest, dict]]): + The request object. Request message for the + [ListProcessorTypes][google.cloud.documentai.v1beta3.DocumentProcessorService.ListProcessorTypes] + method. Some processor types may require the project be + added to an allowlist. + parent (:class:`str`): + Required. The location of processor types to list. + Format: ``projects/{project}/locations/{location}``. + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1beta3.services.document_processor_service.pagers.ListProcessorTypesAsyncPager: + Response message for the + [ListProcessorTypes][google.cloud.documentai.v1beta3.DocumentProcessorService.ListProcessorTypes] + method. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([parent]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = document_processor_service.ListProcessorTypesRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.list_processor_types, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListProcessorTypesAsyncPager( + method=rpc, + request=request, + response=response, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_processor_type(self, + request: Optional[Union[document_processor_service.GetProcessorTypeRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> processor_type.ProcessorType: + r"""Gets a processor type detail. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + async def sample_get_processor_type(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1beta3.GetProcessorTypeRequest( + name="name_value", + ) + + # Make the request + response = await client.get_processor_type(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1beta3.types.GetProcessorTypeRequest, dict]]): + The request object. Request message for the + [GetProcessorType][google.cloud.documentai.v1beta3.DocumentProcessorService.GetProcessorType] + method. + name (:class:`str`): + Required. The processor type resource + name. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1beta3.types.ProcessorType: + A processor type is responsible for + performing a certain document + understanding task on a certain type of + document. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = document_processor_service.GetProcessorTypeRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.get_processor_type, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_processors(self, + request: Optional[Union[document_processor_service.ListProcessorsRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> pagers.ListProcessorsAsyncPager: + r"""Lists all processors which belong to this project. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + async def sample_list_processors(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1beta3.ListProcessorsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_processors(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1beta3.types.ListProcessorsRequest, dict]]): + The request object. Request message for list all + processors belongs to a project. + parent (:class:`str`): + Required. The parent (project and location) which owns + this collection of Processors. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1beta3.services.document_processor_service.pagers.ListProcessorsAsyncPager: + Response message for the + [ListProcessors][google.cloud.documentai.v1beta3.DocumentProcessorService.ListProcessors] + method. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([parent]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = document_processor_service.ListProcessorsRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.list_processors, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListProcessorsAsyncPager( + method=rpc, + request=request, + response=response, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_processor(self, + request: Optional[Union[document_processor_service.GetProcessorRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> processor.Processor: + r"""Gets a processor detail. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + async def sample_get_processor(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1beta3.GetProcessorRequest( + name="name_value", + ) + + # Make the request + response = await client.get_processor(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1beta3.types.GetProcessorRequest, dict]]): + The request object. Request message for the + [GetProcessor][google.cloud.documentai.v1beta3.DocumentProcessorService.GetProcessor] + method. + name (:class:`str`): + Required. The processor resource + name. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1beta3.types.Processor: + The first-class citizen for Document + AI. Each processor defines how to + extract structural information from a + document. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = document_processor_service.GetProcessorRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.get_processor, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def train_processor_version(self, + request: Optional[Union[document_processor_service.TrainProcessorVersionRequest, dict]] = None, + *, + parent: Optional[str] = None, + processor_version: Optional[processor.ProcessorVersion] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation_async.AsyncOperation: + r"""Trains a new processor version. Operation metadata is returned + as + [TrainProcessorVersionMetadata][google.cloud.documentai.v1beta3.TrainProcessorVersionMetadata]. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + async def sample_train_processor_version(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1beta3.TrainProcessorVersionRequest( + parent="parent_value", + ) + + # Make the request + operation = client.train_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1beta3.types.TrainProcessorVersionRequest, dict]]): + The request object. Request message for the + [TrainProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.TrainProcessorVersion] + method. + parent (:class:`str`): + Required. The parent (project, location and processor) + to create the new version for. Format: + ``projects/{project}/locations/{location}/processors/{processor}``. + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + processor_version (:class:`google.cloud.documentai_v1beta3.types.ProcessorVersion`): + Required. The processor version to be + created. + + This corresponds to the ``processor_version`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.documentai_v1beta3.types.TrainProcessorVersionResponse` The response for + [TrainProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.TrainProcessorVersion]. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([parent, processor_version]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = document_processor_service.TrainProcessorVersionRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if processor_version is not None: + request.processor_version = processor_version + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.train_processor_version, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + document_processor_service.TrainProcessorVersionResponse, + metadata_type=document_processor_service.TrainProcessorVersionMetadata, + ) + + # Done; return the response. + return response + + async def get_processor_version(self, + request: Optional[Union[document_processor_service.GetProcessorVersionRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> processor.ProcessorVersion: + r"""Gets a processor version detail. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + async def sample_get_processor_version(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1beta3.GetProcessorVersionRequest( + name="name_value", + ) + + # Make the request + response = await client.get_processor_version(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1beta3.types.GetProcessorVersionRequest, dict]]): + The request object. Request message for the + [GetProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.GetProcessorVersion] + method. + name (:class:`str`): + Required. The processor resource + name. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1beta3.types.ProcessorVersion: + A processor version is an + implementation of a processor. Each + processor can have multiple versions, + pretrained by Google internally or + uptrained by the customer. A processor + can only have one default version at a + time. Its document-processing behavior + is defined by that version. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = document_processor_service.GetProcessorVersionRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.get_processor_version, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_processor_versions(self, + request: Optional[Union[document_processor_service.ListProcessorVersionsRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> pagers.ListProcessorVersionsAsyncPager: + r"""Lists all versions of a processor. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + async def sample_list_processor_versions(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1beta3.ListProcessorVersionsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_processor_versions(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1beta3.types.ListProcessorVersionsRequest, dict]]): + The request object. Request message for list all + processor versions belongs to a + processor. + parent (:class:`str`): + Required. The parent (project, location and processor) + to list all versions. Format: + ``projects/{project}/locations/{location}/processors/{processor}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1beta3.services.document_processor_service.pagers.ListProcessorVersionsAsyncPager: + Response message for the + [ListProcessorVersions][google.cloud.documentai.v1beta3.DocumentProcessorService.ListProcessorVersions] + method. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([parent]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = document_processor_service.ListProcessorVersionsRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.list_processor_versions, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListProcessorVersionsAsyncPager( + method=rpc, + request=request, + response=response, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_processor_version(self, + request: Optional[Union[document_processor_service.DeleteProcessorVersionRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation_async.AsyncOperation: + r"""Deletes the processor version, all artifacts under + the processor version will be deleted. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + async def sample_delete_processor_version(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1beta3.DeleteProcessorVersionRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1beta3.types.DeleteProcessorVersionRequest, dict]]): + The request object. Request message for the + [DeleteProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.DeleteProcessorVersion] + method. + name (:class:`str`): + Required. The processor version + resource name to be deleted. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = document_processor_service.DeleteProcessorVersionRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.delete_processor_version, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + empty_pb2.Empty, + metadata_type=document_processor_service.DeleteProcessorVersionMetadata, + ) + + # Done; return the response. + return response + + async def deploy_processor_version(self, + request: Optional[Union[document_processor_service.DeployProcessorVersionRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation_async.AsyncOperation: + r"""Deploys the processor version. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + async def sample_deploy_processor_version(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1beta3.DeployProcessorVersionRequest( + name="name_value", + ) + + # Make the request + operation = client.deploy_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1beta3.types.DeployProcessorVersionRequest, dict]]): + The request object. Request message for the + [DeployProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.DeployProcessorVersion] + method. + name (:class:`str`): + Required. The processor version + resource name to be deployed. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.documentai_v1beta3.types.DeployProcessorVersionResponse` Response message for the + [DeployProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.DeployProcessorVersion] + method. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = document_processor_service.DeployProcessorVersionRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.deploy_processor_version, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + document_processor_service.DeployProcessorVersionResponse, + metadata_type=document_processor_service.DeployProcessorVersionMetadata, + ) + + # Done; return the response. + return response + + async def undeploy_processor_version(self, + request: Optional[Union[document_processor_service.UndeployProcessorVersionRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation_async.AsyncOperation: + r"""Undeploys the processor version. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + async def sample_undeploy_processor_version(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1beta3.UndeployProcessorVersionRequest( + name="name_value", + ) + + # Make the request + operation = client.undeploy_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1beta3.types.UndeployProcessorVersionRequest, dict]]): + The request object. Request message for the + [UndeployProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.UndeployProcessorVersion] + method. + name (:class:`str`): + Required. The processor version + resource name to be undeployed. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.documentai_v1beta3.types.UndeployProcessorVersionResponse` Response message for the + [UndeployProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.UndeployProcessorVersion] + method. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = document_processor_service.UndeployProcessorVersionRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.undeploy_processor_version, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + document_processor_service.UndeployProcessorVersionResponse, + metadata_type=document_processor_service.UndeployProcessorVersionMetadata, + ) + + # Done; return the response. + return response + + async def create_processor(self, + request: Optional[Union[document_processor_service.CreateProcessorRequest, dict]] = None, + *, + parent: Optional[str] = None, + processor: Optional[gcd_processor.Processor] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> gcd_processor.Processor: + r"""Creates a processor from the + [ProcessorType][google.cloud.documentai.v1beta3.ProcessorType] + provided. The processor will be at ``ENABLED`` state by default + after its creation. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + async def sample_create_processor(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1beta3.CreateProcessorRequest( + parent="parent_value", + ) + + # Make the request + response = await client.create_processor(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1beta3.types.CreateProcessorRequest, dict]]): + The request object. Request message for the + [CreateProcessor][google.cloud.documentai.v1beta3.DocumentProcessorService.CreateProcessor] + method. Notice this request is sent to a regionalized + backend service. If the + [ProcessorType][google.cloud.documentai.v1beta3.ProcessorType] + isn't available in that region, the creation fails. + parent (:class:`str`): + Required. The parent (project and location) under which + to create the processor. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + processor (:class:`google.cloud.documentai_v1beta3.types.Processor`): + Required. The processor to be created, requires + [Processor.type][google.cloud.documentai.v1beta3.Processor.type] + and + [Processor.display_name][google.cloud.documentai.v1beta3.Processor.display_name] + to be set. Also, the + [Processor.kms_key_name][google.cloud.documentai.v1beta3.Processor.kms_key_name] + field must be set if the processor is under CMEK. + + This corresponds to the ``processor`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1beta3.types.Processor: + The first-class citizen for Document + AI. Each processor defines how to + extract structural information from a + document. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([parent, processor]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = document_processor_service.CreateProcessorRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if processor is not None: + request.processor = processor + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.create_processor, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_processor(self, + request: Optional[Union[document_processor_service.DeleteProcessorRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation_async.AsyncOperation: + r"""Deletes the processor, unloads all deployed model + artifacts if it was enabled and then deletes all + artifacts associated with this processor. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + async def sample_delete_processor(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1beta3.DeleteProcessorRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_processor(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1beta3.types.DeleteProcessorRequest, dict]]): + The request object. Request message for the + [DeleteProcessor][google.cloud.documentai.v1beta3.DocumentProcessorService.DeleteProcessor] + method. + name (:class:`str`): + Required. The processor resource name + to be deleted. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = document_processor_service.DeleteProcessorRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.delete_processor, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + empty_pb2.Empty, + metadata_type=document_processor_service.DeleteProcessorMetadata, + ) + + # Done; return the response. + return response + + async def enable_processor(self, + request: Optional[Union[document_processor_service.EnableProcessorRequest, dict]] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation_async.AsyncOperation: + r"""Enables a processor + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + async def sample_enable_processor(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1beta3.EnableProcessorRequest( + name="name_value", + ) + + # Make the request + operation = client.enable_processor(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1beta3.types.EnableProcessorRequest, dict]]): + The request object. Request message for the + [EnableProcessor][google.cloud.documentai.v1beta3.DocumentProcessorService.EnableProcessor] + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.documentai_v1beta3.types.EnableProcessorResponse` Response message for the + [EnableProcessor][google.cloud.documentai.v1beta3.DocumentProcessorService.EnableProcessor] + method. Intentionally empty proto for adding fields + in future. + + """ + # Create or coerce a protobuf request object. + request = document_processor_service.EnableProcessorRequest(request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.enable_processor, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + document_processor_service.EnableProcessorResponse, + metadata_type=document_processor_service.EnableProcessorMetadata, + ) + + # Done; return the response. + return response + + async def disable_processor(self, + request: Optional[Union[document_processor_service.DisableProcessorRequest, dict]] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation_async.AsyncOperation: + r"""Disables a processor + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + async def sample_disable_processor(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1beta3.DisableProcessorRequest( + name="name_value", + ) + + # Make the request + operation = client.disable_processor(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1beta3.types.DisableProcessorRequest, dict]]): + The request object. Request message for the + [DisableProcessor][google.cloud.documentai.v1beta3.DocumentProcessorService.DisableProcessor] + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.documentai_v1beta3.types.DisableProcessorResponse` Response message for the + [DisableProcessor][google.cloud.documentai.v1beta3.DocumentProcessorService.DisableProcessor] + method. Intentionally empty proto for adding fields + in future. + + """ + # Create or coerce a protobuf request object. + request = document_processor_service.DisableProcessorRequest(request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.disable_processor, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + document_processor_service.DisableProcessorResponse, + metadata_type=document_processor_service.DisableProcessorMetadata, + ) + + # Done; return the response. + return response + + async def set_default_processor_version(self, + request: Optional[Union[document_processor_service.SetDefaultProcessorVersionRequest, dict]] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation_async.AsyncOperation: + r"""Set the default (active) version of a + [Processor][google.cloud.documentai.v1beta3.Processor] that will + be used in + [ProcessDocument][google.cloud.documentai.v1beta3.DocumentProcessorService.ProcessDocument] + and + [BatchProcessDocuments][google.cloud.documentai.v1beta3.DocumentProcessorService.BatchProcessDocuments]. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + async def sample_set_default_processor_version(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1beta3.SetDefaultProcessorVersionRequest( + processor="processor_value", + default_processor_version="default_processor_version_value", + ) + + # Make the request + operation = client.set_default_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1beta3.types.SetDefaultProcessorVersionRequest, dict]]): + The request object. Request message for the + [SetDefaultProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.SetDefaultProcessorVersion] + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.documentai_v1beta3.types.SetDefaultProcessorVersionResponse` Response message for the + [SetDefaultProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.SetDefaultProcessorVersion] + method. + + """ + # Create or coerce a protobuf request object. + request = document_processor_service.SetDefaultProcessorVersionRequest(request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.set_default_processor_version, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("processor", request.processor), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + document_processor_service.SetDefaultProcessorVersionResponse, + metadata_type=document_processor_service.SetDefaultProcessorVersionMetadata, + ) + + # Done; return the response. + return response + + async def review_document(self, + request: Optional[Union[document_processor_service.ReviewDocumentRequest, dict]] = None, + *, + human_review_config: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation_async.AsyncOperation: + r"""Send a document for Human Review. The input document + should be processed by the specified processor. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + async def sample_review_document(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + inline_document = documentai_v1beta3.Document() + inline_document.uri = "uri_value" + + request = documentai_v1beta3.ReviewDocumentRequest( + inline_document=inline_document, + human_review_config="human_review_config_value", + ) + + # Make the request + operation = client.review_document(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1beta3.types.ReviewDocumentRequest, dict]]): + The request object. Request message for the + [ReviewDocument][google.cloud.documentai.v1beta3.DocumentProcessorService.ReviewDocument] + method. + human_review_config (:class:`str`): + Required. The resource name of the + [HumanReviewConfig][google.cloud.documentai.v1beta3.HumanReviewConfig] + that the document will be reviewed with. + + This corresponds to the ``human_review_config`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.documentai_v1beta3.types.ReviewDocumentResponse` Response message for the + [ReviewDocument][google.cloud.documentai.v1beta3.DocumentProcessorService.ReviewDocument] + method. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([human_review_config]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = document_processor_service.ReviewDocumentRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if human_review_config is not None: + request.human_review_config = human_review_config + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.review_document, + default_retry=retries.AsyncRetry( +initial=0.1,maximum=60.0,multiplier=1.3, predicate=retries.if_exception_type( + core_exceptions.DeadlineExceeded, + core_exceptions.ServiceUnavailable, + ), + deadline=120.0, + ), + default_timeout=120.0, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("human_review_config", request.human_review_config), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + document_processor_service.ReviewDocumentResponse, + metadata_type=document_processor_service.ReviewDocumentOperationMetadata, + ) + + # Done; return the response. + return response + + async def evaluate_processor_version(self, + request: Optional[Union[document_processor_service.EvaluateProcessorVersionRequest, dict]] = None, + *, + processor_version: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation_async.AsyncOperation: + r"""Evaluates a ProcessorVersion against annotated + documents, producing an Evaluation. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + async def sample_evaluate_processor_version(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1beta3.EvaluateProcessorVersionRequest( + processor_version="processor_version_value", + ) + + # Make the request + operation = client.evaluate_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1beta3.types.EvaluateProcessorVersionRequest, dict]]): + The request object. Evaluates the given + [ProcessorVersion][google.cloud.documentai.v1beta3.ProcessorVersion] + against the supplied documents. + processor_version (:class:`str`): + Required. The resource name of the + [ProcessorVersion][google.cloud.documentai.v1beta3.ProcessorVersion] + to evaluate. + ``projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processorVersion}`` + + This corresponds to the ``processor_version`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.documentai_v1beta3.types.EvaluateProcessorVersionResponse` Response of the + [EvaluateProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.EvaluateProcessorVersion] + method. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([processor_version]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = document_processor_service.EvaluateProcessorVersionRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if processor_version is not None: + request.processor_version = processor_version + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.evaluate_processor_version, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("processor_version", request.processor_version), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + document_processor_service.EvaluateProcessorVersionResponse, + metadata_type=document_processor_service.EvaluateProcessorVersionMetadata, + ) + + # Done; return the response. + return response + + async def get_evaluation(self, + request: Optional[Union[document_processor_service.GetEvaluationRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> evaluation.Evaluation: + r"""Retrieves a specific evaluation. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + async def sample_get_evaluation(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1beta3.GetEvaluationRequest( + name="name_value", + ) + + # Make the request + response = await client.get_evaluation(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1beta3.types.GetEvaluationRequest, dict]]): + The request object. Retrieves a specific Evaluation. + name (:class:`str`): + Required. The resource name of the + [Evaluation][google.cloud.documentai.v1beta3.Evaluation] + to get. + ``projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processorVersion}/evaluations/{evaluation}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1beta3.types.Evaluation: + An evaluation of a ProcessorVersion's + performance. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = document_processor_service.GetEvaluationRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.get_evaluation, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_evaluations(self, + request: Optional[Union[document_processor_service.ListEvaluationsRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> pagers.ListEvaluationsAsyncPager: + r"""Retrieves a set of evaluations for a given processor + version. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + async def sample_list_evaluations(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1beta3.ListEvaluationsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_evaluations(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1beta3.types.ListEvaluationsRequest, dict]]): + The request object. Retrieves a list of evaluations for a given + [ProcessorVersion][google.cloud.documentai.v1beta3.ProcessorVersion]. + parent (:class:`str`): + Required. The resource name of the + [ProcessorVersion][google.cloud.documentai.v1beta3.ProcessorVersion] + to list evaluations for. + ``projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processorVersion}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1beta3.services.document_processor_service.pagers.ListEvaluationsAsyncPager: + The response from ListEvaluations. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([parent]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = document_processor_service.ListEvaluationsRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.list_evaluations, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListEvaluationsAsyncPager( + method=rpc, + request=request, + response=response, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def import_processor_version(self, + request: Optional[Union[document_processor_service.ImportProcessorVersionRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation_async.AsyncOperation: + r"""Imports a processor version from source processor + version. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + async def sample_import_processor_version(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1beta3.ImportProcessorVersionRequest( + processor_version_source="processor_version_source_value", + parent="parent_value", + ) + + # Make the request + operation = client.import_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1beta3.types.ImportProcessorVersionRequest, dict]]): + The request object. The request message for the + [ImportProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.ImportProcessorVersion] + method. + + The Document AI `Service + Agent `__ + of the destination project must have `Document AI Editor + role `__ + on the source project. + + The destination project is specified as part of the + [parent][google.cloud.documentai.v1beta3.ImportProcessorVersionRequest.parent] + field. The source project is specified as part of the + [source][google.cloud.documentai.v1beta3.ImportProcessorVersionRequest.processor_version_source] + or + [external_processor_version_source][google.cloud.documentai.v1beta3.ImportProcessorVersionRequest.external_processor_version_source] + field. + parent (:class:`str`): + Required. The destination processor name to create the + processor version in. Format: + ``projects/{project}/locations/{location}/processors/{processor}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.documentai_v1beta3.types.ImportProcessorVersionResponse` The response message for the + [ImportProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.ImportProcessorVersion] + method. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([parent]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = document_processor_service.ImportProcessorVersionRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.import_processor_version, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + document_processor_service.ImportProcessorVersionResponse, + metadata_type=document_processor_service.ImportProcessorVersionMetadata, + ) + + # Done; return the response. + return response + + async def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.list_operations, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, retry=retry, timeout=timeout, metadata=metadata,) + + # Done; return the response. + return response + + async def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.get_operation, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, retry=retry, timeout=timeout, metadata=metadata,) + + # Done; return the response. + return response + + async def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.cancel_operation, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc(request, retry=retry, timeout=timeout, metadata=metadata,) + + async def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.get_location, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, retry=retry, timeout=timeout, metadata=metadata,) + + # Done; return the response. + return response + + async def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.list_locations, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, retry=retry, timeout=timeout, metadata=metadata,) + + # Done; return the response. + return response + + async def __aenter__(self) -> "DocumentProcessorServiceAsyncClient": + return self + + async def __aexit__(self, exc_type, exc, tb): + await self.transport.close() + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(gapic_version=package_version.__version__) + + +__all__ = ( + "DocumentProcessorServiceAsyncClient", +) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_processor_service/client.py b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_processor_service/client.py new file mode 100644 index 000000000000..004f097d4d04 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_processor_service/client.py @@ -0,0 +1,3631 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +import os +import re +from typing import Dict, Mapping, MutableMapping, MutableSequence, Optional, Sequence, Tuple, Type, Union, cast +import warnings + +from google.cloud.documentai_v1beta3 import gapic_version as package_version + +from google.api_core import client_options as client_options_lib +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport import mtls # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.auth.exceptions import MutualTLSChannelError # type: ignore +from google.oauth2 import service_account # type: ignore + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + +from google.api import launch_stage_pb2 # type: ignore +from google.api_core import operation # type: ignore +from google.api_core import operation_async # type: ignore +from google.cloud.documentai_v1beta3.services.document_processor_service import pagers +from google.cloud.documentai_v1beta3.types import document +from google.cloud.documentai_v1beta3.types import document_processor_service +from google.cloud.documentai_v1beta3.types import document_schema +from google.cloud.documentai_v1beta3.types import evaluation +from google.cloud.documentai_v1beta3.types import processor +from google.cloud.documentai_v1beta3.types import processor as gcd_processor +from google.cloud.documentai_v1beta3.types import processor_type +from google.cloud.location import locations_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +from google.protobuf import empty_pb2 # type: ignore +from google.protobuf import timestamp_pb2 # type: ignore +from .transports.base import DocumentProcessorServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc import DocumentProcessorServiceGrpcTransport +from .transports.grpc_asyncio import DocumentProcessorServiceGrpcAsyncIOTransport +from .transports.rest import DocumentProcessorServiceRestTransport + + +class DocumentProcessorServiceClientMeta(type): + """Metaclass for the DocumentProcessorService client. + + This provides class-level methods for building and retrieving + support objects (e.g. transport) without polluting the client instance + objects. + """ + _transport_registry = OrderedDict() # type: Dict[str, Type[DocumentProcessorServiceTransport]] + _transport_registry["grpc"] = DocumentProcessorServiceGrpcTransport + _transport_registry["grpc_asyncio"] = DocumentProcessorServiceGrpcAsyncIOTransport + _transport_registry["rest"] = DocumentProcessorServiceRestTransport + + def get_transport_class(cls, + label: Optional[str] = None, + ) -> Type[DocumentProcessorServiceTransport]: + """Returns an appropriate transport class. + + Args: + label: The name of the desired transport. If none is + provided, then the first transport in the registry is used. + + Returns: + The transport class to use. + """ + # If a specific transport is requested, return that one. + if label: + return cls._transport_registry[label] + + # No transport is requested; return the default (that is, the first one + # in the dictionary). + return next(iter(cls._transport_registry.values())) + + +class DocumentProcessorServiceClient(metaclass=DocumentProcessorServiceClientMeta): + """Service to call Document AI to process documents according to + the processor's definition. Processors are built using + state-of-the-art Google AI such as natural language, computer + vision, and translation to extract structured information from + unstructured or semi-structured documents. + """ + + @staticmethod + def _get_default_mtls_endpoint(api_endpoint): + """Converts api endpoint to mTLS endpoint. + + Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to + "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively. + Args: + api_endpoint (Optional[str]): the api endpoint to convert. + Returns: + str: converted mTLS api endpoint. + """ + if not api_endpoint: + return api_endpoint + + mtls_endpoint_re = re.compile( + r"(?P[^.]+)(?P\.mtls)?(?P\.sandbox)?(?P\.googleapis\.com)?" + ) + + m = mtls_endpoint_re.match(api_endpoint) + name, mtls, sandbox, googledomain = m.groups() + if mtls or not googledomain: + return api_endpoint + + if sandbox: + return api_endpoint.replace( + "sandbox.googleapis.com", "mtls.sandbox.googleapis.com" + ) + + return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com") + + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = "documentai.googleapis.com" + DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__( # type: ignore + DEFAULT_ENDPOINT + ) + + _DEFAULT_ENDPOINT_TEMPLATE = "documentai.{UNIVERSE_DOMAIN}" + _DEFAULT_UNIVERSE = "googleapis.com" + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + DocumentProcessorServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_info(info) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + DocumentProcessorServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_file( + filename) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + from_service_account_json = from_service_account_file + + @property + def transport(self) -> DocumentProcessorServiceTransport: + """Returns the transport used by the client instance. + + Returns: + DocumentProcessorServiceTransport: The transport used by the client + instance. + """ + return self._transport + + @staticmethod + def evaluation_path(project: str,location: str,processor: str,processor_version: str,evaluation: str,) -> str: + """Returns a fully-qualified evaluation string.""" + return "projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processor_version}/evaluations/{evaluation}".format(project=project, location=location, processor=processor, processor_version=processor_version, evaluation=evaluation, ) + + @staticmethod + def parse_evaluation_path(path: str) -> Dict[str,str]: + """Parses a evaluation path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)/processors/(?P.+?)/processorVersions/(?P.+?)/evaluations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def human_review_config_path(project: str,location: str,processor: str,) -> str: + """Returns a fully-qualified human_review_config string.""" + return "projects/{project}/locations/{location}/processors/{processor}/humanReviewConfig".format(project=project, location=location, processor=processor, ) + + @staticmethod + def parse_human_review_config_path(path: str) -> Dict[str,str]: + """Parses a human_review_config path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)/processors/(?P.+?)/humanReviewConfig$", path) + return m.groupdict() if m else {} + + @staticmethod + def processor_path(project: str,location: str,processor: str,) -> str: + """Returns a fully-qualified processor string.""" + return "projects/{project}/locations/{location}/processors/{processor}".format(project=project, location=location, processor=processor, ) + + @staticmethod + def parse_processor_path(path: str) -> Dict[str,str]: + """Parses a processor path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)/processors/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def processor_type_path(project: str,location: str,processor_type: str,) -> str: + """Returns a fully-qualified processor_type string.""" + return "projects/{project}/locations/{location}/processorTypes/{processor_type}".format(project=project, location=location, processor_type=processor_type, ) + + @staticmethod + def parse_processor_type_path(path: str) -> Dict[str,str]: + """Parses a processor_type path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)/processorTypes/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def processor_version_path(project: str,location: str,processor: str,processor_version: str,) -> str: + """Returns a fully-qualified processor_version string.""" + return "projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processor_version}".format(project=project, location=location, processor=processor, processor_version=processor_version, ) + + @staticmethod + def parse_processor_version_path(path: str) -> Dict[str,str]: + """Parses a processor_version path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)/processors/(?P.+?)/processorVersions/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_billing_account_path(billing_account: str, ) -> str: + """Returns a fully-qualified billing_account string.""" + return "billingAccounts/{billing_account}".format(billing_account=billing_account, ) + + @staticmethod + def parse_common_billing_account_path(path: str) -> Dict[str,str]: + """Parse a billing_account path into its component segments.""" + m = re.match(r"^billingAccounts/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_folder_path(folder: str, ) -> str: + """Returns a fully-qualified folder string.""" + return "folders/{folder}".format(folder=folder, ) + + @staticmethod + def parse_common_folder_path(path: str) -> Dict[str,str]: + """Parse a folder path into its component segments.""" + m = re.match(r"^folders/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_organization_path(organization: str, ) -> str: + """Returns a fully-qualified organization string.""" + return "organizations/{organization}".format(organization=organization, ) + + @staticmethod + def parse_common_organization_path(path: str) -> Dict[str,str]: + """Parse a organization path into its component segments.""" + m = re.match(r"^organizations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_project_path(project: str, ) -> str: + """Returns a fully-qualified project string.""" + return "projects/{project}".format(project=project, ) + + @staticmethod + def parse_common_project_path(path: str) -> Dict[str,str]: + """Parse a project path into its component segments.""" + m = re.match(r"^projects/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_location_path(project: str, location: str, ) -> str: + """Returns a fully-qualified location string.""" + return "projects/{project}/locations/{location}".format(project=project, location=location, ) + + @staticmethod + def parse_common_location_path(path: str) -> Dict[str,str]: + """Parse a location path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @classmethod + def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[client_options_lib.ClientOptions] = None): + """Deprecated. Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + + warnings.warn("get_mtls_endpoint_and_cert_source is deprecated. Use the api_endpoint property instead.", + DeprecationWarning) + if client_options is None: + client_options = client_options_lib.ClientOptions() + use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false") + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto") + if use_client_cert not in ("true", "false"): + raise ValueError("Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError("Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`") + + # Figure out the client cert source to use. + client_cert_source = None + if use_client_cert == "true": + if client_options.client_cert_source: + client_cert_source = client_options.client_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + + # Figure out which api endpoint to use. + if client_options.api_endpoint is not None: + api_endpoint = client_options.api_endpoint + elif use_mtls_endpoint == "always" or (use_mtls_endpoint == "auto" and client_cert_source): + api_endpoint = cls.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = cls.DEFAULT_ENDPOINT + + return api_endpoint, client_cert_source + + @staticmethod + def _read_environment_variables(): + """Returns the environment variables used by the client. + + Returns: + Tuple[bool, str, str]: returns the GOOGLE_API_USE_CLIENT_CERTIFICATE, + GOOGLE_API_USE_MTLS_ENDPOINT, and GOOGLE_CLOUD_UNIVERSE_DOMAIN environment variables. + + Raises: + ValueError: If GOOGLE_API_USE_CLIENT_CERTIFICATE is not + any of ["true", "false"]. + google.auth.exceptions.MutualTLSChannelError: If GOOGLE_API_USE_MTLS_ENDPOINT + is not any of ["auto", "never", "always"]. + """ + use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false").lower() + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto").lower() + universe_domain_env = os.getenv("GOOGLE_CLOUD_UNIVERSE_DOMAIN") + if use_client_cert not in ("true", "false"): + raise ValueError("Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError("Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`") + return use_client_cert == "true", use_mtls_endpoint, universe_domain_env + + @staticmethod + def _get_client_cert_source(provided_cert_source, use_cert_flag): + """Return the client cert source to be used by the client. + + Args: + provided_cert_source (bytes): The client certificate source provided. + use_cert_flag (bool): A flag indicating whether to use the client certificate. + + Returns: + bytes or None: The client cert source to be used by the client. + """ + client_cert_source = None + if use_cert_flag: + if provided_cert_source: + client_cert_source = provided_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + return client_cert_source + + @staticmethod + def _get_api_endpoint(api_override, client_cert_source, universe_domain, use_mtls_endpoint): + """Return the API endpoint used by the client. + + Args: + api_override (str): The API endpoint override. If specified, this is always + the return value of this function and the other arguments are not used. + client_cert_source (bytes): The client certificate source used by the client. + universe_domain (str): The universe domain used by the client. + use_mtls_endpoint (str): How to use the mTLS endpoint, which depends also on the other parameters. + Possible values are "always", "auto", or "never". + + Returns: + str: The API endpoint to be used by the client. + """ + if api_override is not None: + api_endpoint = api_override + elif use_mtls_endpoint == "always" or (use_mtls_endpoint == "auto" and client_cert_source): + _default_universe = DocumentProcessorServiceClient._DEFAULT_UNIVERSE + if universe_domain != _default_universe: + raise MutualTLSChannelError(f"mTLS is not supported in any universe other than {_default_universe}.") + api_endpoint = DocumentProcessorServiceClient.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = DocumentProcessorServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=universe_domain) + return api_endpoint + + @staticmethod + def _get_universe_domain(client_universe_domain: Optional[str], universe_domain_env: Optional[str]) -> str: + """Return the universe domain used by the client. + + Args: + client_universe_domain (Optional[str]): The universe domain configured via the client options. + universe_domain_env (Optional[str]): The universe domain configured via the "GOOGLE_CLOUD_UNIVERSE_DOMAIN" environment variable. + + Returns: + str: The universe domain to be used by the client. + + Raises: + ValueError: If the universe domain is an empty string. + """ + universe_domain = DocumentProcessorServiceClient._DEFAULT_UNIVERSE + if client_universe_domain is not None: + universe_domain = client_universe_domain + elif universe_domain_env is not None: + universe_domain = universe_domain_env + if len(universe_domain.strip()) == 0: + raise ValueError("Universe Domain cannot be an empty string.") + return universe_domain + + @staticmethod + def _compare_universes(client_universe: str, + credentials: ga_credentials.Credentials) -> bool: + """Returns True iff the universe domains used by the client and credentials match. + + Args: + client_universe (str): The universe domain configured via the client options. + credentials (ga_credentials.Credentials): The credentials being used in the client. + + Returns: + bool: True iff client_universe matches the universe in credentials. + + Raises: + ValueError: when client_universe does not match the universe in credentials. + """ + + default_universe = DocumentProcessorServiceClient._DEFAULT_UNIVERSE + credentials_universe = getattr(credentials, "universe_domain", default_universe) + + if client_universe != credentials_universe: + raise ValueError("The configured universe domain " + f"({client_universe}) does not match the universe domain " + f"found in the credentials ({credentials_universe}). " + "If you haven't configured the universe domain explicitly, " + f"`{default_universe}` is the default.") + return True + + def _validate_universe_domain(self): + """Validates client's and credentials' universe domains are consistent. + + Returns: + bool: True iff the configured universe domain is valid. + + Raises: + ValueError: If the configured universe domain is not valid. + """ + self._is_universe_domain_valid = (self._is_universe_domain_valid or + DocumentProcessorServiceClient._compare_universes(self.universe_domain, self.transport._credentials)) + return self._is_universe_domain_valid + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used by the client instance. + """ + return self._universe_domain + + def __init__(self, *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[Union[str, DocumentProcessorServiceTransport]] = None, + client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the document processor service client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Union[str, DocumentProcessorServiceTransport]): The + transport to use. If set to None, a transport is chosen + automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that the ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client_options = client_options + if isinstance(self._client_options, dict): + self._client_options = client_options_lib.from_dict(self._client_options) + if self._client_options is None: + self._client_options = client_options_lib.ClientOptions() + self._client_options = cast(client_options_lib.ClientOptions, self._client_options) + + universe_domain_opt = getattr(self._client_options, 'universe_domain', None) + + self._use_client_cert, self._use_mtls_endpoint, self._universe_domain_env = DocumentProcessorServiceClient._read_environment_variables() + self._client_cert_source = DocumentProcessorServiceClient._get_client_cert_source(self._client_options.client_cert_source, self._use_client_cert) + self._universe_domain = DocumentProcessorServiceClient._get_universe_domain(universe_domain_opt, self._universe_domain_env) + self._api_endpoint = None # updated below, depending on `transport` + + # Initialize the universe domain validation. + self._is_universe_domain_valid = False + + api_key_value = getattr(self._client_options, "api_key", None) + if api_key_value and credentials: + raise ValueError("client_options.api_key and credentials are mutually exclusive") + + # Save or instantiate the transport. + # Ordinarily, we provide the transport, but allowing a custom transport + # instance provides an extensibility point for unusual situations. + transport_provided = isinstance(transport, DocumentProcessorServiceTransport) + if transport_provided: + # transport is a DocumentProcessorServiceTransport instance. + if credentials or self._client_options.credentials_file or api_key_value: + raise ValueError("When providing a transport instance, " + "provide its credentials directly.") + if self._client_options.scopes: + raise ValueError( + "When providing a transport instance, provide its scopes " + "directly." + ) + self._transport = cast(DocumentProcessorServiceTransport, transport) + self._api_endpoint = self._transport.host + + self._api_endpoint = (self._api_endpoint or + DocumentProcessorServiceClient._get_api_endpoint( + self._client_options.api_endpoint, + self._client_cert_source, + self._universe_domain, + self._use_mtls_endpoint)) + + if not transport_provided: + import google.auth._default # type: ignore + + if api_key_value and hasattr(google.auth._default, "get_api_key_credentials"): + credentials = google.auth._default.get_api_key_credentials(api_key_value) + + Transport = type(self).get_transport_class(cast(str, transport)) + self._transport = Transport( + credentials=credentials, + credentials_file=self._client_options.credentials_file, + host=self._api_endpoint, + scopes=self._client_options.scopes, + client_cert_source_for_mtls=self._client_cert_source, + quota_project_id=self._client_options.quota_project_id, + client_info=client_info, + always_use_jwt_access=True, + api_audience=self._client_options.api_audience, + ) + + def process_document(self, + request: Optional[Union[document_processor_service.ProcessRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> document_processor_service.ProcessResponse: + r"""Processes a single document. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + def sample_process_document(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceClient() + + # Initialize request argument(s) + inline_document = documentai_v1beta3.Document() + inline_document.uri = "uri_value" + + request = documentai_v1beta3.ProcessRequest( + inline_document=inline_document, + name="name_value", + ) + + # Make the request + response = client.process_document(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.documentai_v1beta3.types.ProcessRequest, dict]): + The request object. Request message for the + [ProcessDocument][google.cloud.documentai.v1beta3.DocumentProcessorService.ProcessDocument] + method. + name (str): + Required. The resource name of the + [Processor][google.cloud.documentai.v1beta3.Processor] + or + [ProcessorVersion][google.cloud.documentai.v1beta3.ProcessorVersion] + to use for processing. If a + [Processor][google.cloud.documentai.v1beta3.Processor] + is specified, the server will use its [default + version][google.cloud.documentai.v1beta3.Processor.default_processor_version]. + Format: + ``projects/{project}/locations/{location}/processors/{processor}``, + or + ``projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processorVersion}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1beta3.types.ProcessResponse: + Response message for the + [ProcessDocument][google.cloud.documentai.v1beta3.DocumentProcessorService.ProcessDocument] + method. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a document_processor_service.ProcessRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_processor_service.ProcessRequest): + request = document_processor_service.ProcessRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.process_document] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def batch_process_documents(self, + request: Optional[Union[document_processor_service.BatchProcessRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation.Operation: + r"""LRO endpoint to batch process many documents. The output is + written to Cloud Storage as JSON in the [Document] format. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + def sample_batch_process_documents(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1beta3.BatchProcessRequest( + name="name_value", + ) + + # Make the request + operation = client.batch_process_documents(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.documentai_v1beta3.types.BatchProcessRequest, dict]): + The request object. Request message for + [BatchProcessDocuments][google.cloud.documentai.v1beta3.DocumentProcessorService.BatchProcessDocuments]. + name (str): + Required. The resource name of + [Processor][google.cloud.documentai.v1beta3.Processor] + or + [ProcessorVersion][google.cloud.documentai.v1beta3.ProcessorVersion]. + Format: + ``projects/{project}/locations/{location}/processors/{processor}``, + or + ``projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processorVersion}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.documentai_v1beta3.types.BatchProcessResponse` Response message for + [BatchProcessDocuments][google.cloud.documentai.v1beta3.DocumentProcessorService.BatchProcessDocuments]. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a document_processor_service.BatchProcessRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_processor_service.BatchProcessRequest): + request = document_processor_service.BatchProcessRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.batch_process_documents] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + document_processor_service.BatchProcessResponse, + metadata_type=document_processor_service.BatchProcessMetadata, + ) + + # Done; return the response. + return response + + def fetch_processor_types(self, + request: Optional[Union[document_processor_service.FetchProcessorTypesRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> document_processor_service.FetchProcessorTypesResponse: + r"""Fetches processor types. Note that we don't use + [ListProcessorTypes][google.cloud.documentai.v1beta3.DocumentProcessorService.ListProcessorTypes] + here, because it isn't paginated. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + def sample_fetch_processor_types(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1beta3.FetchProcessorTypesRequest( + parent="parent_value", + ) + + # Make the request + response = client.fetch_processor_types(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.documentai_v1beta3.types.FetchProcessorTypesRequest, dict]): + The request object. Request message for the + [FetchProcessorTypes][google.cloud.documentai.v1beta3.DocumentProcessorService.FetchProcessorTypes] + method. Some processor types may require the project be + added to an allowlist. + parent (str): + Required. The location of processor types to list. + Format: ``projects/{project}/locations/{location}``. + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1beta3.types.FetchProcessorTypesResponse: + Response message for the + [FetchProcessorTypes][google.cloud.documentai.v1beta3.DocumentProcessorService.FetchProcessorTypes] + method. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([parent]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a document_processor_service.FetchProcessorTypesRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_processor_service.FetchProcessorTypesRequest): + request = document_processor_service.FetchProcessorTypesRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.fetch_processor_types] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def list_processor_types(self, + request: Optional[Union[document_processor_service.ListProcessorTypesRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> pagers.ListProcessorTypesPager: + r"""Lists the processor types that exist. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + def sample_list_processor_types(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1beta3.ListProcessorTypesRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_processor_types(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.documentai_v1beta3.types.ListProcessorTypesRequest, dict]): + The request object. Request message for the + [ListProcessorTypes][google.cloud.documentai.v1beta3.DocumentProcessorService.ListProcessorTypes] + method. Some processor types may require the project be + added to an allowlist. + parent (str): + Required. The location of processor types to list. + Format: ``projects/{project}/locations/{location}``. + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1beta3.services.document_processor_service.pagers.ListProcessorTypesPager: + Response message for the + [ListProcessorTypes][google.cloud.documentai.v1beta3.DocumentProcessorService.ListProcessorTypes] + method. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([parent]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a document_processor_service.ListProcessorTypesRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_processor_service.ListProcessorTypesRequest): + request = document_processor_service.ListProcessorTypesRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_processor_types] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListProcessorTypesPager( + method=rpc, + request=request, + response=response, + metadata=metadata, + ) + + # Done; return the response. + return response + + def get_processor_type(self, + request: Optional[Union[document_processor_service.GetProcessorTypeRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> processor_type.ProcessorType: + r"""Gets a processor type detail. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + def sample_get_processor_type(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1beta3.GetProcessorTypeRequest( + name="name_value", + ) + + # Make the request + response = client.get_processor_type(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.documentai_v1beta3.types.GetProcessorTypeRequest, dict]): + The request object. Request message for the + [GetProcessorType][google.cloud.documentai.v1beta3.DocumentProcessorService.GetProcessorType] + method. + name (str): + Required. The processor type resource + name. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1beta3.types.ProcessorType: + A processor type is responsible for + performing a certain document + understanding task on a certain type of + document. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a document_processor_service.GetProcessorTypeRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_processor_service.GetProcessorTypeRequest): + request = document_processor_service.GetProcessorTypeRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_processor_type] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def list_processors(self, + request: Optional[Union[document_processor_service.ListProcessorsRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> pagers.ListProcessorsPager: + r"""Lists all processors which belong to this project. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + def sample_list_processors(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1beta3.ListProcessorsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_processors(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.documentai_v1beta3.types.ListProcessorsRequest, dict]): + The request object. Request message for list all + processors belongs to a project. + parent (str): + Required. The parent (project and location) which owns + this collection of Processors. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1beta3.services.document_processor_service.pagers.ListProcessorsPager: + Response message for the + [ListProcessors][google.cloud.documentai.v1beta3.DocumentProcessorService.ListProcessors] + method. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([parent]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a document_processor_service.ListProcessorsRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_processor_service.ListProcessorsRequest): + request = document_processor_service.ListProcessorsRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_processors] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListProcessorsPager( + method=rpc, + request=request, + response=response, + metadata=metadata, + ) + + # Done; return the response. + return response + + def get_processor(self, + request: Optional[Union[document_processor_service.GetProcessorRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> processor.Processor: + r"""Gets a processor detail. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + def sample_get_processor(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1beta3.GetProcessorRequest( + name="name_value", + ) + + # Make the request + response = client.get_processor(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.documentai_v1beta3.types.GetProcessorRequest, dict]): + The request object. Request message for the + [GetProcessor][google.cloud.documentai.v1beta3.DocumentProcessorService.GetProcessor] + method. + name (str): + Required. The processor resource + name. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1beta3.types.Processor: + The first-class citizen for Document + AI. Each processor defines how to + extract structural information from a + document. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a document_processor_service.GetProcessorRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_processor_service.GetProcessorRequest): + request = document_processor_service.GetProcessorRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_processor] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def train_processor_version(self, + request: Optional[Union[document_processor_service.TrainProcessorVersionRequest, dict]] = None, + *, + parent: Optional[str] = None, + processor_version: Optional[processor.ProcessorVersion] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation.Operation: + r"""Trains a new processor version. Operation metadata is returned + as + [TrainProcessorVersionMetadata][google.cloud.documentai.v1beta3.TrainProcessorVersionMetadata]. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + def sample_train_processor_version(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1beta3.TrainProcessorVersionRequest( + parent="parent_value", + ) + + # Make the request + operation = client.train_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.documentai_v1beta3.types.TrainProcessorVersionRequest, dict]): + The request object. Request message for the + [TrainProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.TrainProcessorVersion] + method. + parent (str): + Required. The parent (project, location and processor) + to create the new version for. Format: + ``projects/{project}/locations/{location}/processors/{processor}``. + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + processor_version (google.cloud.documentai_v1beta3.types.ProcessorVersion): + Required. The processor version to be + created. + + This corresponds to the ``processor_version`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.documentai_v1beta3.types.TrainProcessorVersionResponse` The response for + [TrainProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.TrainProcessorVersion]. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([parent, processor_version]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a document_processor_service.TrainProcessorVersionRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_processor_service.TrainProcessorVersionRequest): + request = document_processor_service.TrainProcessorVersionRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if processor_version is not None: + request.processor_version = processor_version + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.train_processor_version] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + document_processor_service.TrainProcessorVersionResponse, + metadata_type=document_processor_service.TrainProcessorVersionMetadata, + ) + + # Done; return the response. + return response + + def get_processor_version(self, + request: Optional[Union[document_processor_service.GetProcessorVersionRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> processor.ProcessorVersion: + r"""Gets a processor version detail. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + def sample_get_processor_version(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1beta3.GetProcessorVersionRequest( + name="name_value", + ) + + # Make the request + response = client.get_processor_version(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.documentai_v1beta3.types.GetProcessorVersionRequest, dict]): + The request object. Request message for the + [GetProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.GetProcessorVersion] + method. + name (str): + Required. The processor resource + name. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1beta3.types.ProcessorVersion: + A processor version is an + implementation of a processor. Each + processor can have multiple versions, + pretrained by Google internally or + uptrained by the customer. A processor + can only have one default version at a + time. Its document-processing behavior + is defined by that version. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a document_processor_service.GetProcessorVersionRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_processor_service.GetProcessorVersionRequest): + request = document_processor_service.GetProcessorVersionRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_processor_version] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def list_processor_versions(self, + request: Optional[Union[document_processor_service.ListProcessorVersionsRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> pagers.ListProcessorVersionsPager: + r"""Lists all versions of a processor. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + def sample_list_processor_versions(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1beta3.ListProcessorVersionsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_processor_versions(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.documentai_v1beta3.types.ListProcessorVersionsRequest, dict]): + The request object. Request message for list all + processor versions belongs to a + processor. + parent (str): + Required. The parent (project, location and processor) + to list all versions. Format: + ``projects/{project}/locations/{location}/processors/{processor}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1beta3.services.document_processor_service.pagers.ListProcessorVersionsPager: + Response message for the + [ListProcessorVersions][google.cloud.documentai.v1beta3.DocumentProcessorService.ListProcessorVersions] + method. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([parent]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a document_processor_service.ListProcessorVersionsRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_processor_service.ListProcessorVersionsRequest): + request = document_processor_service.ListProcessorVersionsRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_processor_versions] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListProcessorVersionsPager( + method=rpc, + request=request, + response=response, + metadata=metadata, + ) + + # Done; return the response. + return response + + def delete_processor_version(self, + request: Optional[Union[document_processor_service.DeleteProcessorVersionRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation.Operation: + r"""Deletes the processor version, all artifacts under + the processor version will be deleted. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + def sample_delete_processor_version(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1beta3.DeleteProcessorVersionRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.documentai_v1beta3.types.DeleteProcessorVersionRequest, dict]): + The request object. Request message for the + [DeleteProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.DeleteProcessorVersion] + method. + name (str): + Required. The processor version + resource name to be deleted. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a document_processor_service.DeleteProcessorVersionRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_processor_service.DeleteProcessorVersionRequest): + request = document_processor_service.DeleteProcessorVersionRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_processor_version] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + empty_pb2.Empty, + metadata_type=document_processor_service.DeleteProcessorVersionMetadata, + ) + + # Done; return the response. + return response + + def deploy_processor_version(self, + request: Optional[Union[document_processor_service.DeployProcessorVersionRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation.Operation: + r"""Deploys the processor version. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + def sample_deploy_processor_version(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1beta3.DeployProcessorVersionRequest( + name="name_value", + ) + + # Make the request + operation = client.deploy_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.documentai_v1beta3.types.DeployProcessorVersionRequest, dict]): + The request object. Request message for the + [DeployProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.DeployProcessorVersion] + method. + name (str): + Required. The processor version + resource name to be deployed. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.documentai_v1beta3.types.DeployProcessorVersionResponse` Response message for the + [DeployProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.DeployProcessorVersion] + method. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a document_processor_service.DeployProcessorVersionRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_processor_service.DeployProcessorVersionRequest): + request = document_processor_service.DeployProcessorVersionRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.deploy_processor_version] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + document_processor_service.DeployProcessorVersionResponse, + metadata_type=document_processor_service.DeployProcessorVersionMetadata, + ) + + # Done; return the response. + return response + + def undeploy_processor_version(self, + request: Optional[Union[document_processor_service.UndeployProcessorVersionRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation.Operation: + r"""Undeploys the processor version. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + def sample_undeploy_processor_version(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1beta3.UndeployProcessorVersionRequest( + name="name_value", + ) + + # Make the request + operation = client.undeploy_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.documentai_v1beta3.types.UndeployProcessorVersionRequest, dict]): + The request object. Request message for the + [UndeployProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.UndeployProcessorVersion] + method. + name (str): + Required. The processor version + resource name to be undeployed. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.documentai_v1beta3.types.UndeployProcessorVersionResponse` Response message for the + [UndeployProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.UndeployProcessorVersion] + method. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a document_processor_service.UndeployProcessorVersionRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_processor_service.UndeployProcessorVersionRequest): + request = document_processor_service.UndeployProcessorVersionRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.undeploy_processor_version] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + document_processor_service.UndeployProcessorVersionResponse, + metadata_type=document_processor_service.UndeployProcessorVersionMetadata, + ) + + # Done; return the response. + return response + + def create_processor(self, + request: Optional[Union[document_processor_service.CreateProcessorRequest, dict]] = None, + *, + parent: Optional[str] = None, + processor: Optional[gcd_processor.Processor] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> gcd_processor.Processor: + r"""Creates a processor from the + [ProcessorType][google.cloud.documentai.v1beta3.ProcessorType] + provided. The processor will be at ``ENABLED`` state by default + after its creation. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + def sample_create_processor(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1beta3.CreateProcessorRequest( + parent="parent_value", + ) + + # Make the request + response = client.create_processor(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.documentai_v1beta3.types.CreateProcessorRequest, dict]): + The request object. Request message for the + [CreateProcessor][google.cloud.documentai.v1beta3.DocumentProcessorService.CreateProcessor] + method. Notice this request is sent to a regionalized + backend service. If the + [ProcessorType][google.cloud.documentai.v1beta3.ProcessorType] + isn't available in that region, the creation fails. + parent (str): + Required. The parent (project and location) under which + to create the processor. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + processor (google.cloud.documentai_v1beta3.types.Processor): + Required. The processor to be created, requires + [Processor.type][google.cloud.documentai.v1beta3.Processor.type] + and + [Processor.display_name][google.cloud.documentai.v1beta3.Processor.display_name] + to be set. Also, the + [Processor.kms_key_name][google.cloud.documentai.v1beta3.Processor.kms_key_name] + field must be set if the processor is under CMEK. + + This corresponds to the ``processor`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1beta3.types.Processor: + The first-class citizen for Document + AI. Each processor defines how to + extract structural information from a + document. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([parent, processor]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a document_processor_service.CreateProcessorRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_processor_service.CreateProcessorRequest): + request = document_processor_service.CreateProcessorRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if processor is not None: + request.processor = processor + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.create_processor] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def delete_processor(self, + request: Optional[Union[document_processor_service.DeleteProcessorRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation.Operation: + r"""Deletes the processor, unloads all deployed model + artifacts if it was enabled and then deletes all + artifacts associated with this processor. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + def sample_delete_processor(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1beta3.DeleteProcessorRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_processor(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.documentai_v1beta3.types.DeleteProcessorRequest, dict]): + The request object. Request message for the + [DeleteProcessor][google.cloud.documentai.v1beta3.DocumentProcessorService.DeleteProcessor] + method. + name (str): + Required. The processor resource name + to be deleted. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a document_processor_service.DeleteProcessorRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_processor_service.DeleteProcessorRequest): + request = document_processor_service.DeleteProcessorRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_processor] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + empty_pb2.Empty, + metadata_type=document_processor_service.DeleteProcessorMetadata, + ) + + # Done; return the response. + return response + + def enable_processor(self, + request: Optional[Union[document_processor_service.EnableProcessorRequest, dict]] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation.Operation: + r"""Enables a processor + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + def sample_enable_processor(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1beta3.EnableProcessorRequest( + name="name_value", + ) + + # Make the request + operation = client.enable_processor(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.documentai_v1beta3.types.EnableProcessorRequest, dict]): + The request object. Request message for the + [EnableProcessor][google.cloud.documentai.v1beta3.DocumentProcessorService.EnableProcessor] + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.documentai_v1beta3.types.EnableProcessorResponse` Response message for the + [EnableProcessor][google.cloud.documentai.v1beta3.DocumentProcessorService.EnableProcessor] + method. Intentionally empty proto for adding fields + in future. + + """ + # Create or coerce a protobuf request object. + # Minor optimization to avoid making a copy if the user passes + # in a document_processor_service.EnableProcessorRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_processor_service.EnableProcessorRequest): + request = document_processor_service.EnableProcessorRequest(request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.enable_processor] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + document_processor_service.EnableProcessorResponse, + metadata_type=document_processor_service.EnableProcessorMetadata, + ) + + # Done; return the response. + return response + + def disable_processor(self, + request: Optional[Union[document_processor_service.DisableProcessorRequest, dict]] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation.Operation: + r"""Disables a processor + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + def sample_disable_processor(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1beta3.DisableProcessorRequest( + name="name_value", + ) + + # Make the request + operation = client.disable_processor(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.documentai_v1beta3.types.DisableProcessorRequest, dict]): + The request object. Request message for the + [DisableProcessor][google.cloud.documentai.v1beta3.DocumentProcessorService.DisableProcessor] + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.documentai_v1beta3.types.DisableProcessorResponse` Response message for the + [DisableProcessor][google.cloud.documentai.v1beta3.DocumentProcessorService.DisableProcessor] + method. Intentionally empty proto for adding fields + in future. + + """ + # Create or coerce a protobuf request object. + # Minor optimization to avoid making a copy if the user passes + # in a document_processor_service.DisableProcessorRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_processor_service.DisableProcessorRequest): + request = document_processor_service.DisableProcessorRequest(request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.disable_processor] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + document_processor_service.DisableProcessorResponse, + metadata_type=document_processor_service.DisableProcessorMetadata, + ) + + # Done; return the response. + return response + + def set_default_processor_version(self, + request: Optional[Union[document_processor_service.SetDefaultProcessorVersionRequest, dict]] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation.Operation: + r"""Set the default (active) version of a + [Processor][google.cloud.documentai.v1beta3.Processor] that will + be used in + [ProcessDocument][google.cloud.documentai.v1beta3.DocumentProcessorService.ProcessDocument] + and + [BatchProcessDocuments][google.cloud.documentai.v1beta3.DocumentProcessorService.BatchProcessDocuments]. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + def sample_set_default_processor_version(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1beta3.SetDefaultProcessorVersionRequest( + processor="processor_value", + default_processor_version="default_processor_version_value", + ) + + # Make the request + operation = client.set_default_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.documentai_v1beta3.types.SetDefaultProcessorVersionRequest, dict]): + The request object. Request message for the + [SetDefaultProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.SetDefaultProcessorVersion] + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.documentai_v1beta3.types.SetDefaultProcessorVersionResponse` Response message for the + [SetDefaultProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.SetDefaultProcessorVersion] + method. + + """ + # Create or coerce a protobuf request object. + # Minor optimization to avoid making a copy if the user passes + # in a document_processor_service.SetDefaultProcessorVersionRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_processor_service.SetDefaultProcessorVersionRequest): + request = document_processor_service.SetDefaultProcessorVersionRequest(request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.set_default_processor_version] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("processor", request.processor), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + document_processor_service.SetDefaultProcessorVersionResponse, + metadata_type=document_processor_service.SetDefaultProcessorVersionMetadata, + ) + + # Done; return the response. + return response + + def review_document(self, + request: Optional[Union[document_processor_service.ReviewDocumentRequest, dict]] = None, + *, + human_review_config: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation.Operation: + r"""Send a document for Human Review. The input document + should be processed by the specified processor. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + def sample_review_document(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceClient() + + # Initialize request argument(s) + inline_document = documentai_v1beta3.Document() + inline_document.uri = "uri_value" + + request = documentai_v1beta3.ReviewDocumentRequest( + inline_document=inline_document, + human_review_config="human_review_config_value", + ) + + # Make the request + operation = client.review_document(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.documentai_v1beta3.types.ReviewDocumentRequest, dict]): + The request object. Request message for the + [ReviewDocument][google.cloud.documentai.v1beta3.DocumentProcessorService.ReviewDocument] + method. + human_review_config (str): + Required. The resource name of the + [HumanReviewConfig][google.cloud.documentai.v1beta3.HumanReviewConfig] + that the document will be reviewed with. + + This corresponds to the ``human_review_config`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.documentai_v1beta3.types.ReviewDocumentResponse` Response message for the + [ReviewDocument][google.cloud.documentai.v1beta3.DocumentProcessorService.ReviewDocument] + method. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([human_review_config]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a document_processor_service.ReviewDocumentRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_processor_service.ReviewDocumentRequest): + request = document_processor_service.ReviewDocumentRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if human_review_config is not None: + request.human_review_config = human_review_config + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.review_document] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("human_review_config", request.human_review_config), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + document_processor_service.ReviewDocumentResponse, + metadata_type=document_processor_service.ReviewDocumentOperationMetadata, + ) + + # Done; return the response. + return response + + def evaluate_processor_version(self, + request: Optional[Union[document_processor_service.EvaluateProcessorVersionRequest, dict]] = None, + *, + processor_version: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation.Operation: + r"""Evaluates a ProcessorVersion against annotated + documents, producing an Evaluation. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + def sample_evaluate_processor_version(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1beta3.EvaluateProcessorVersionRequest( + processor_version="processor_version_value", + ) + + # Make the request + operation = client.evaluate_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.documentai_v1beta3.types.EvaluateProcessorVersionRequest, dict]): + The request object. Evaluates the given + [ProcessorVersion][google.cloud.documentai.v1beta3.ProcessorVersion] + against the supplied documents. + processor_version (str): + Required. The resource name of the + [ProcessorVersion][google.cloud.documentai.v1beta3.ProcessorVersion] + to evaluate. + ``projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processorVersion}`` + + This corresponds to the ``processor_version`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.documentai_v1beta3.types.EvaluateProcessorVersionResponse` Response of the + [EvaluateProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.EvaluateProcessorVersion] + method. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([processor_version]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a document_processor_service.EvaluateProcessorVersionRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_processor_service.EvaluateProcessorVersionRequest): + request = document_processor_service.EvaluateProcessorVersionRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if processor_version is not None: + request.processor_version = processor_version + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.evaluate_processor_version] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("processor_version", request.processor_version), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + document_processor_service.EvaluateProcessorVersionResponse, + metadata_type=document_processor_service.EvaluateProcessorVersionMetadata, + ) + + # Done; return the response. + return response + + def get_evaluation(self, + request: Optional[Union[document_processor_service.GetEvaluationRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> evaluation.Evaluation: + r"""Retrieves a specific evaluation. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + def sample_get_evaluation(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1beta3.GetEvaluationRequest( + name="name_value", + ) + + # Make the request + response = client.get_evaluation(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.documentai_v1beta3.types.GetEvaluationRequest, dict]): + The request object. Retrieves a specific Evaluation. + name (str): + Required. The resource name of the + [Evaluation][google.cloud.documentai.v1beta3.Evaluation] + to get. + ``projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processorVersion}/evaluations/{evaluation}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1beta3.types.Evaluation: + An evaluation of a ProcessorVersion's + performance. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a document_processor_service.GetEvaluationRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_processor_service.GetEvaluationRequest): + request = document_processor_service.GetEvaluationRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_evaluation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def list_evaluations(self, + request: Optional[Union[document_processor_service.ListEvaluationsRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> pagers.ListEvaluationsPager: + r"""Retrieves a set of evaluations for a given processor + version. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + def sample_list_evaluations(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1beta3.ListEvaluationsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_evaluations(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.documentai_v1beta3.types.ListEvaluationsRequest, dict]): + The request object. Retrieves a list of evaluations for a given + [ProcessorVersion][google.cloud.documentai.v1beta3.ProcessorVersion]. + parent (str): + Required. The resource name of the + [ProcessorVersion][google.cloud.documentai.v1beta3.ProcessorVersion] + to list evaluations for. + ``projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processorVersion}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1beta3.services.document_processor_service.pagers.ListEvaluationsPager: + The response from ListEvaluations. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([parent]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a document_processor_service.ListEvaluationsRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_processor_service.ListEvaluationsRequest): + request = document_processor_service.ListEvaluationsRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_evaluations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListEvaluationsPager( + method=rpc, + request=request, + response=response, + metadata=metadata, + ) + + # Done; return the response. + return response + + def import_processor_version(self, + request: Optional[Union[document_processor_service.ImportProcessorVersionRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation.Operation: + r"""Imports a processor version from source processor + version. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + def sample_import_processor_version(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1beta3.ImportProcessorVersionRequest( + processor_version_source="processor_version_source_value", + parent="parent_value", + ) + + # Make the request + operation = client.import_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.documentai_v1beta3.types.ImportProcessorVersionRequest, dict]): + The request object. The request message for the + [ImportProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.ImportProcessorVersion] + method. + + The Document AI `Service + Agent `__ + of the destination project must have `Document AI Editor + role `__ + on the source project. + + The destination project is specified as part of the + [parent][google.cloud.documentai.v1beta3.ImportProcessorVersionRequest.parent] + field. The source project is specified as part of the + [source][google.cloud.documentai.v1beta3.ImportProcessorVersionRequest.processor_version_source] + or + [external_processor_version_source][google.cloud.documentai.v1beta3.ImportProcessorVersionRequest.external_processor_version_source] + field. + parent (str): + Required. The destination processor name to create the + processor version in. Format: + ``projects/{project}/locations/{location}/processors/{processor}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.documentai_v1beta3.types.ImportProcessorVersionResponse` The response message for the + [ImportProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.ImportProcessorVersion] + method. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([parent]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a document_processor_service.ImportProcessorVersionRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_processor_service.ImportProcessorVersionRequest): + request = document_processor_service.ImportProcessorVersionRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.import_processor_version] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + document_processor_service.ImportProcessorVersionResponse, + metadata_type=document_processor_service.ImportProcessorVersionMetadata, + ) + + # Done; return the response. + return response + + def __enter__(self) -> "DocumentProcessorServiceClient": + return self + + def __exit__(self, type, value, traceback): + """Releases underlying transport's resources. + + .. warning:: + ONLY use as a context manager if the transport is NOT shared + with other clients! Exiting the with block will CLOSE the transport + and may cause errors in other clients! + """ + self.transport.close() + + def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method.wrap_method( + self._transport.list_operations, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, retry=retry, timeout=timeout, metadata=metadata,) + + # Done; return the response. + return response + + def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method.wrap_method( + self._transport.get_operation, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, retry=retry, timeout=timeout, metadata=metadata,) + + # Done; return the response. + return response + + def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method.wrap_method( + self._transport.cancel_operation, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc(request, retry=retry, timeout=timeout, metadata=metadata,) + + def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method.wrap_method( + self._transport.get_location, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, retry=retry, timeout=timeout, metadata=metadata,) + + # Done; return the response. + return response + + def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method.wrap_method( + self._transport.list_locations, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, retry=retry, timeout=timeout, metadata=metadata,) + + # Done; return the response. + return response + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(gapic_version=package_version.__version__) + + +__all__ = ( + "DocumentProcessorServiceClient", +) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_processor_service/pagers.py b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_processor_service/pagers.py new file mode 100644 index 000000000000..eace7694ea5d --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_processor_service/pagers.py @@ -0,0 +1,505 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from typing import Any, AsyncIterator, Awaitable, Callable, Sequence, Tuple, Optional, Iterator + +from google.cloud.documentai_v1beta3.types import document_processor_service +from google.cloud.documentai_v1beta3.types import evaluation +from google.cloud.documentai_v1beta3.types import processor +from google.cloud.documentai_v1beta3.types import processor_type + + +class ListProcessorTypesPager: + """A pager for iterating through ``list_processor_types`` requests. + + This class thinly wraps an initial + :class:`google.cloud.documentai_v1beta3.types.ListProcessorTypesResponse` object, and + provides an ``__iter__`` method to iterate through its + ``processor_types`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListProcessorTypes`` requests and continue to iterate + through the ``processor_types`` field on the + corresponding responses. + + All the usual :class:`google.cloud.documentai_v1beta3.types.ListProcessorTypesResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + def __init__(self, + method: Callable[..., document_processor_service.ListProcessorTypesResponse], + request: document_processor_service.ListProcessorTypesRequest, + response: document_processor_service.ListProcessorTypesResponse, + *, + metadata: Sequence[Tuple[str, str]] = ()): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.documentai_v1beta3.types.ListProcessorTypesRequest): + The initial request object. + response (google.cloud.documentai_v1beta3.types.ListProcessorTypesResponse): + The initial response object. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + """ + self._method = method + self._request = document_processor_service.ListProcessorTypesRequest(request) + self._response = response + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[document_processor_service.ListProcessorTypesResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method(self._request, metadata=self._metadata) + yield self._response + + def __iter__(self) -> Iterator[processor_type.ProcessorType]: + for page in self.pages: + yield from page.processor_types + + def __repr__(self) -> str: + return '{0}<{1!r}>'.format(self.__class__.__name__, self._response) + + +class ListProcessorTypesAsyncPager: + """A pager for iterating through ``list_processor_types`` requests. + + This class thinly wraps an initial + :class:`google.cloud.documentai_v1beta3.types.ListProcessorTypesResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``processor_types`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListProcessorTypes`` requests and continue to iterate + through the ``processor_types`` field on the + corresponding responses. + + All the usual :class:`google.cloud.documentai_v1beta3.types.ListProcessorTypesResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + def __init__(self, + method: Callable[..., Awaitable[document_processor_service.ListProcessorTypesResponse]], + request: document_processor_service.ListProcessorTypesRequest, + response: document_processor_service.ListProcessorTypesResponse, + *, + metadata: Sequence[Tuple[str, str]] = ()): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.documentai_v1beta3.types.ListProcessorTypesRequest): + The initial request object. + response (google.cloud.documentai_v1beta3.types.ListProcessorTypesResponse): + The initial response object. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + """ + self._method = method + self._request = document_processor_service.ListProcessorTypesRequest(request) + self._response = response + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages(self) -> AsyncIterator[document_processor_service.ListProcessorTypesResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method(self._request, metadata=self._metadata) + yield self._response + def __aiter__(self) -> AsyncIterator[processor_type.ProcessorType]: + async def async_generator(): + async for page in self.pages: + for response in page.processor_types: + yield response + + return async_generator() + + def __repr__(self) -> str: + return '{0}<{1!r}>'.format(self.__class__.__name__, self._response) + + +class ListProcessorsPager: + """A pager for iterating through ``list_processors`` requests. + + This class thinly wraps an initial + :class:`google.cloud.documentai_v1beta3.types.ListProcessorsResponse` object, and + provides an ``__iter__`` method to iterate through its + ``processors`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListProcessors`` requests and continue to iterate + through the ``processors`` field on the + corresponding responses. + + All the usual :class:`google.cloud.documentai_v1beta3.types.ListProcessorsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + def __init__(self, + method: Callable[..., document_processor_service.ListProcessorsResponse], + request: document_processor_service.ListProcessorsRequest, + response: document_processor_service.ListProcessorsResponse, + *, + metadata: Sequence[Tuple[str, str]] = ()): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.documentai_v1beta3.types.ListProcessorsRequest): + The initial request object. + response (google.cloud.documentai_v1beta3.types.ListProcessorsResponse): + The initial response object. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + """ + self._method = method + self._request = document_processor_service.ListProcessorsRequest(request) + self._response = response + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[document_processor_service.ListProcessorsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method(self._request, metadata=self._metadata) + yield self._response + + def __iter__(self) -> Iterator[processor.Processor]: + for page in self.pages: + yield from page.processors + + def __repr__(self) -> str: + return '{0}<{1!r}>'.format(self.__class__.__name__, self._response) + + +class ListProcessorsAsyncPager: + """A pager for iterating through ``list_processors`` requests. + + This class thinly wraps an initial + :class:`google.cloud.documentai_v1beta3.types.ListProcessorsResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``processors`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListProcessors`` requests and continue to iterate + through the ``processors`` field on the + corresponding responses. + + All the usual :class:`google.cloud.documentai_v1beta3.types.ListProcessorsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + def __init__(self, + method: Callable[..., Awaitable[document_processor_service.ListProcessorsResponse]], + request: document_processor_service.ListProcessorsRequest, + response: document_processor_service.ListProcessorsResponse, + *, + metadata: Sequence[Tuple[str, str]] = ()): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.documentai_v1beta3.types.ListProcessorsRequest): + The initial request object. + response (google.cloud.documentai_v1beta3.types.ListProcessorsResponse): + The initial response object. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + """ + self._method = method + self._request = document_processor_service.ListProcessorsRequest(request) + self._response = response + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages(self) -> AsyncIterator[document_processor_service.ListProcessorsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method(self._request, metadata=self._metadata) + yield self._response + def __aiter__(self) -> AsyncIterator[processor.Processor]: + async def async_generator(): + async for page in self.pages: + for response in page.processors: + yield response + + return async_generator() + + def __repr__(self) -> str: + return '{0}<{1!r}>'.format(self.__class__.__name__, self._response) + + +class ListProcessorVersionsPager: + """A pager for iterating through ``list_processor_versions`` requests. + + This class thinly wraps an initial + :class:`google.cloud.documentai_v1beta3.types.ListProcessorVersionsResponse` object, and + provides an ``__iter__`` method to iterate through its + ``processor_versions`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListProcessorVersions`` requests and continue to iterate + through the ``processor_versions`` field on the + corresponding responses. + + All the usual :class:`google.cloud.documentai_v1beta3.types.ListProcessorVersionsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + def __init__(self, + method: Callable[..., document_processor_service.ListProcessorVersionsResponse], + request: document_processor_service.ListProcessorVersionsRequest, + response: document_processor_service.ListProcessorVersionsResponse, + *, + metadata: Sequence[Tuple[str, str]] = ()): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.documentai_v1beta3.types.ListProcessorVersionsRequest): + The initial request object. + response (google.cloud.documentai_v1beta3.types.ListProcessorVersionsResponse): + The initial response object. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + """ + self._method = method + self._request = document_processor_service.ListProcessorVersionsRequest(request) + self._response = response + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[document_processor_service.ListProcessorVersionsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method(self._request, metadata=self._metadata) + yield self._response + + def __iter__(self) -> Iterator[processor.ProcessorVersion]: + for page in self.pages: + yield from page.processor_versions + + def __repr__(self) -> str: + return '{0}<{1!r}>'.format(self.__class__.__name__, self._response) + + +class ListProcessorVersionsAsyncPager: + """A pager for iterating through ``list_processor_versions`` requests. + + This class thinly wraps an initial + :class:`google.cloud.documentai_v1beta3.types.ListProcessorVersionsResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``processor_versions`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListProcessorVersions`` requests and continue to iterate + through the ``processor_versions`` field on the + corresponding responses. + + All the usual :class:`google.cloud.documentai_v1beta3.types.ListProcessorVersionsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + def __init__(self, + method: Callable[..., Awaitable[document_processor_service.ListProcessorVersionsResponse]], + request: document_processor_service.ListProcessorVersionsRequest, + response: document_processor_service.ListProcessorVersionsResponse, + *, + metadata: Sequence[Tuple[str, str]] = ()): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.documentai_v1beta3.types.ListProcessorVersionsRequest): + The initial request object. + response (google.cloud.documentai_v1beta3.types.ListProcessorVersionsResponse): + The initial response object. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + """ + self._method = method + self._request = document_processor_service.ListProcessorVersionsRequest(request) + self._response = response + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages(self) -> AsyncIterator[document_processor_service.ListProcessorVersionsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method(self._request, metadata=self._metadata) + yield self._response + def __aiter__(self) -> AsyncIterator[processor.ProcessorVersion]: + async def async_generator(): + async for page in self.pages: + for response in page.processor_versions: + yield response + + return async_generator() + + def __repr__(self) -> str: + return '{0}<{1!r}>'.format(self.__class__.__name__, self._response) + + +class ListEvaluationsPager: + """A pager for iterating through ``list_evaluations`` requests. + + This class thinly wraps an initial + :class:`google.cloud.documentai_v1beta3.types.ListEvaluationsResponse` object, and + provides an ``__iter__`` method to iterate through its + ``evaluations`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListEvaluations`` requests and continue to iterate + through the ``evaluations`` field on the + corresponding responses. + + All the usual :class:`google.cloud.documentai_v1beta3.types.ListEvaluationsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + def __init__(self, + method: Callable[..., document_processor_service.ListEvaluationsResponse], + request: document_processor_service.ListEvaluationsRequest, + response: document_processor_service.ListEvaluationsResponse, + *, + metadata: Sequence[Tuple[str, str]] = ()): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.documentai_v1beta3.types.ListEvaluationsRequest): + The initial request object. + response (google.cloud.documentai_v1beta3.types.ListEvaluationsResponse): + The initial response object. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + """ + self._method = method + self._request = document_processor_service.ListEvaluationsRequest(request) + self._response = response + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[document_processor_service.ListEvaluationsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method(self._request, metadata=self._metadata) + yield self._response + + def __iter__(self) -> Iterator[evaluation.Evaluation]: + for page in self.pages: + yield from page.evaluations + + def __repr__(self) -> str: + return '{0}<{1!r}>'.format(self.__class__.__name__, self._response) + + +class ListEvaluationsAsyncPager: + """A pager for iterating through ``list_evaluations`` requests. + + This class thinly wraps an initial + :class:`google.cloud.documentai_v1beta3.types.ListEvaluationsResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``evaluations`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListEvaluations`` requests and continue to iterate + through the ``evaluations`` field on the + corresponding responses. + + All the usual :class:`google.cloud.documentai_v1beta3.types.ListEvaluationsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + def __init__(self, + method: Callable[..., Awaitable[document_processor_service.ListEvaluationsResponse]], + request: document_processor_service.ListEvaluationsRequest, + response: document_processor_service.ListEvaluationsResponse, + *, + metadata: Sequence[Tuple[str, str]] = ()): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.documentai_v1beta3.types.ListEvaluationsRequest): + The initial request object. + response (google.cloud.documentai_v1beta3.types.ListEvaluationsResponse): + The initial response object. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + """ + self._method = method + self._request = document_processor_service.ListEvaluationsRequest(request) + self._response = response + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages(self) -> AsyncIterator[document_processor_service.ListEvaluationsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method(self._request, metadata=self._metadata) + yield self._response + def __aiter__(self) -> AsyncIterator[evaluation.Evaluation]: + async def async_generator(): + async for page in self.pages: + for response in page.evaluations: + yield response + + return async_generator() + + def __repr__(self) -> str: + return '{0}<{1!r}>'.format(self.__class__.__name__, self._response) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_processor_service/transports/__init__.py b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_processor_service/transports/__init__.py new file mode 100644 index 000000000000..ada8f5c0c0d9 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_processor_service/transports/__init__.py @@ -0,0 +1,38 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +from typing import Dict, Type + +from .base import DocumentProcessorServiceTransport +from .grpc import DocumentProcessorServiceGrpcTransport +from .grpc_asyncio import DocumentProcessorServiceGrpcAsyncIOTransport +from .rest import DocumentProcessorServiceRestTransport +from .rest import DocumentProcessorServiceRestInterceptor + + +# Compile a registry of transports. +_transport_registry = OrderedDict() # type: Dict[str, Type[DocumentProcessorServiceTransport]] +_transport_registry['grpc'] = DocumentProcessorServiceGrpcTransport +_transport_registry['grpc_asyncio'] = DocumentProcessorServiceGrpcAsyncIOTransport +_transport_registry['rest'] = DocumentProcessorServiceRestTransport + +__all__ = ( + 'DocumentProcessorServiceTransport', + 'DocumentProcessorServiceGrpcTransport', + 'DocumentProcessorServiceGrpcAsyncIOTransport', + 'DocumentProcessorServiceRestTransport', + 'DocumentProcessorServiceRestInterceptor', +) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_processor_service/transports/base.py b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_processor_service/transports/base.py new file mode 100644 index 000000000000..5d2f609ad8da --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_processor_service/transports/base.py @@ -0,0 +1,536 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import abc +from typing import Awaitable, Callable, Dict, Optional, Sequence, Union + +from google.cloud.documentai_v1beta3 import gapic_version as package_version + +import google.auth # type: ignore +import google.api_core +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.api_core import operations_v1 +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore + +from google.cloud.documentai_v1beta3.types import document_processor_service +from google.cloud.documentai_v1beta3.types import evaluation +from google.cloud.documentai_v1beta3.types import processor +from google.cloud.documentai_v1beta3.types import processor as gcd_processor +from google.cloud.documentai_v1beta3.types import processor_type +from google.cloud.location import locations_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(gapic_version=package_version.__version__) + + +class DocumentProcessorServiceTransport(abc.ABC): + """Abstract transport class for DocumentProcessorService.""" + + AUTH_SCOPES = ( + 'https://www.googleapis.com/auth/cloud-platform', + ) + + DEFAULT_HOST: str = 'documentai.googleapis.com' + def __init__( + self, *, + host: str = DEFAULT_HOST, + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + **kwargs, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'documentai.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + credentials_file (Optional[str]): A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is mutually exclusive with credentials. + scopes (Optional[Sequence[str]]): A list of scopes. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + """ + + scopes_kwargs = {"scopes": scopes, "default_scopes": self.AUTH_SCOPES} + + # Save the scopes. + self._scopes = scopes + + # If no credentials are provided, then determine the appropriate + # defaults. + if credentials and credentials_file: + raise core_exceptions.DuplicateCredentialArgs("'credentials_file' and 'credentials' are mutually exclusive") + + if credentials_file is not None: + credentials, _ = google.auth.load_credentials_from_file( + credentials_file, + **scopes_kwargs, + quota_project_id=quota_project_id + ) + elif credentials is None: + credentials, _ = google.auth.default(**scopes_kwargs, quota_project_id=quota_project_id) + # Don't apply audience if the credentials file passed from user. + if hasattr(credentials, "with_gdch_audience"): + credentials = credentials.with_gdch_audience(api_audience if api_audience else host) + + # If the credentials are service account credentials, then always try to use self signed JWT. + if always_use_jwt_access and isinstance(credentials, service_account.Credentials) and hasattr(service_account.Credentials, "with_always_use_jwt_access"): + credentials = credentials.with_always_use_jwt_access(True) + + # Save the credentials. + self._credentials = credentials + + # Save the hostname. Default to port 443 (HTTPS) if none is specified. + if ':' not in host: + host += ':443' + self._host = host + + @property + def host(self): + return self._host + + def _prep_wrapped_messages(self, client_info): + # Precompute the wrapped methods. + self._wrapped_methods = { + self.process_document: gapic_v1.method.wrap_method( + self.process_document, + default_retry=retries.Retry( +initial=0.1,maximum=60.0,multiplier=1.3, predicate=retries.if_exception_type( + core_exceptions.DeadlineExceeded, + core_exceptions.ServiceUnavailable, + ), + deadline=300.0, + ), + default_timeout=300.0, + client_info=client_info, + ), + self.batch_process_documents: gapic_v1.method.wrap_method( + self.batch_process_documents, + default_retry=retries.Retry( +initial=0.1,maximum=60.0,multiplier=1.3, predicate=retries.if_exception_type( + core_exceptions.DeadlineExceeded, + core_exceptions.ServiceUnavailable, + ), + deadline=120.0, + ), + default_timeout=120.0, + client_info=client_info, + ), + self.fetch_processor_types: gapic_v1.method.wrap_method( + self.fetch_processor_types, + default_timeout=None, + client_info=client_info, + ), + self.list_processor_types: gapic_v1.method.wrap_method( + self.list_processor_types, + default_timeout=None, + client_info=client_info, + ), + self.get_processor_type: gapic_v1.method.wrap_method( + self.get_processor_type, + default_timeout=None, + client_info=client_info, + ), + self.list_processors: gapic_v1.method.wrap_method( + self.list_processors, + default_timeout=None, + client_info=client_info, + ), + self.get_processor: gapic_v1.method.wrap_method( + self.get_processor, + default_timeout=None, + client_info=client_info, + ), + self.train_processor_version: gapic_v1.method.wrap_method( + self.train_processor_version, + default_timeout=None, + client_info=client_info, + ), + self.get_processor_version: gapic_v1.method.wrap_method( + self.get_processor_version, + default_timeout=None, + client_info=client_info, + ), + self.list_processor_versions: gapic_v1.method.wrap_method( + self.list_processor_versions, + default_timeout=None, + client_info=client_info, + ), + self.delete_processor_version: gapic_v1.method.wrap_method( + self.delete_processor_version, + default_timeout=None, + client_info=client_info, + ), + self.deploy_processor_version: gapic_v1.method.wrap_method( + self.deploy_processor_version, + default_timeout=None, + client_info=client_info, + ), + self.undeploy_processor_version: gapic_v1.method.wrap_method( + self.undeploy_processor_version, + default_timeout=None, + client_info=client_info, + ), + self.create_processor: gapic_v1.method.wrap_method( + self.create_processor, + default_timeout=None, + client_info=client_info, + ), + self.delete_processor: gapic_v1.method.wrap_method( + self.delete_processor, + default_timeout=None, + client_info=client_info, + ), + self.enable_processor: gapic_v1.method.wrap_method( + self.enable_processor, + default_timeout=None, + client_info=client_info, + ), + self.disable_processor: gapic_v1.method.wrap_method( + self.disable_processor, + default_timeout=None, + client_info=client_info, + ), + self.set_default_processor_version: gapic_v1.method.wrap_method( + self.set_default_processor_version, + default_timeout=None, + client_info=client_info, + ), + self.review_document: gapic_v1.method.wrap_method( + self.review_document, + default_retry=retries.Retry( +initial=0.1,maximum=60.0,multiplier=1.3, predicate=retries.if_exception_type( + core_exceptions.DeadlineExceeded, + core_exceptions.ServiceUnavailable, + ), + deadline=120.0, + ), + default_timeout=120.0, + client_info=client_info, + ), + self.evaluate_processor_version: gapic_v1.method.wrap_method( + self.evaluate_processor_version, + default_timeout=None, + client_info=client_info, + ), + self.get_evaluation: gapic_v1.method.wrap_method( + self.get_evaluation, + default_timeout=None, + client_info=client_info, + ), + self.list_evaluations: gapic_v1.method.wrap_method( + self.list_evaluations, + default_timeout=None, + client_info=client_info, + ), + self.import_processor_version: gapic_v1.method.wrap_method( + self.import_processor_version, + default_timeout=None, + client_info=client_info, + ), + } + + def close(self): + """Closes resources associated with the transport. + + .. warning:: + Only call this method if the transport is NOT shared + with other clients - this may cause errors in other clients! + """ + raise NotImplementedError() + + @property + def operations_client(self): + """Return the client designed to process long-running operations.""" + raise NotImplementedError() + + @property + def process_document(self) -> Callable[ + [document_processor_service.ProcessRequest], + Union[ + document_processor_service.ProcessResponse, + Awaitable[document_processor_service.ProcessResponse] + ]]: + raise NotImplementedError() + + @property + def batch_process_documents(self) -> Callable[ + [document_processor_service.BatchProcessRequest], + Union[ + operations_pb2.Operation, + Awaitable[operations_pb2.Operation] + ]]: + raise NotImplementedError() + + @property + def fetch_processor_types(self) -> Callable[ + [document_processor_service.FetchProcessorTypesRequest], + Union[ + document_processor_service.FetchProcessorTypesResponse, + Awaitable[document_processor_service.FetchProcessorTypesResponse] + ]]: + raise NotImplementedError() + + @property + def list_processor_types(self) -> Callable[ + [document_processor_service.ListProcessorTypesRequest], + Union[ + document_processor_service.ListProcessorTypesResponse, + Awaitable[document_processor_service.ListProcessorTypesResponse] + ]]: + raise NotImplementedError() + + @property + def get_processor_type(self) -> Callable[ + [document_processor_service.GetProcessorTypeRequest], + Union[ + processor_type.ProcessorType, + Awaitable[processor_type.ProcessorType] + ]]: + raise NotImplementedError() + + @property + def list_processors(self) -> Callable[ + [document_processor_service.ListProcessorsRequest], + Union[ + document_processor_service.ListProcessorsResponse, + Awaitable[document_processor_service.ListProcessorsResponse] + ]]: + raise NotImplementedError() + + @property + def get_processor(self) -> Callable[ + [document_processor_service.GetProcessorRequest], + Union[ + processor.Processor, + Awaitable[processor.Processor] + ]]: + raise NotImplementedError() + + @property + def train_processor_version(self) -> Callable[ + [document_processor_service.TrainProcessorVersionRequest], + Union[ + operations_pb2.Operation, + Awaitable[operations_pb2.Operation] + ]]: + raise NotImplementedError() + + @property + def get_processor_version(self) -> Callable[ + [document_processor_service.GetProcessorVersionRequest], + Union[ + processor.ProcessorVersion, + Awaitable[processor.ProcessorVersion] + ]]: + raise NotImplementedError() + + @property + def list_processor_versions(self) -> Callable[ + [document_processor_service.ListProcessorVersionsRequest], + Union[ + document_processor_service.ListProcessorVersionsResponse, + Awaitable[document_processor_service.ListProcessorVersionsResponse] + ]]: + raise NotImplementedError() + + @property + def delete_processor_version(self) -> Callable[ + [document_processor_service.DeleteProcessorVersionRequest], + Union[ + operations_pb2.Operation, + Awaitable[operations_pb2.Operation] + ]]: + raise NotImplementedError() + + @property + def deploy_processor_version(self) -> Callable[ + [document_processor_service.DeployProcessorVersionRequest], + Union[ + operations_pb2.Operation, + Awaitable[operations_pb2.Operation] + ]]: + raise NotImplementedError() + + @property + def undeploy_processor_version(self) -> Callable[ + [document_processor_service.UndeployProcessorVersionRequest], + Union[ + operations_pb2.Operation, + Awaitable[operations_pb2.Operation] + ]]: + raise NotImplementedError() + + @property + def create_processor(self) -> Callable[ + [document_processor_service.CreateProcessorRequest], + Union[ + gcd_processor.Processor, + Awaitable[gcd_processor.Processor] + ]]: + raise NotImplementedError() + + @property + def delete_processor(self) -> Callable[ + [document_processor_service.DeleteProcessorRequest], + Union[ + operations_pb2.Operation, + Awaitable[operations_pb2.Operation] + ]]: + raise NotImplementedError() + + @property + def enable_processor(self) -> Callable[ + [document_processor_service.EnableProcessorRequest], + Union[ + operations_pb2.Operation, + Awaitable[operations_pb2.Operation] + ]]: + raise NotImplementedError() + + @property + def disable_processor(self) -> Callable[ + [document_processor_service.DisableProcessorRequest], + Union[ + operations_pb2.Operation, + Awaitable[operations_pb2.Operation] + ]]: + raise NotImplementedError() + + @property + def set_default_processor_version(self) -> Callable[ + [document_processor_service.SetDefaultProcessorVersionRequest], + Union[ + operations_pb2.Operation, + Awaitable[operations_pb2.Operation] + ]]: + raise NotImplementedError() + + @property + def review_document(self) -> Callable[ + [document_processor_service.ReviewDocumentRequest], + Union[ + operations_pb2.Operation, + Awaitable[operations_pb2.Operation] + ]]: + raise NotImplementedError() + + @property + def evaluate_processor_version(self) -> Callable[ + [document_processor_service.EvaluateProcessorVersionRequest], + Union[ + operations_pb2.Operation, + Awaitable[operations_pb2.Operation] + ]]: + raise NotImplementedError() + + @property + def get_evaluation(self) -> Callable[ + [document_processor_service.GetEvaluationRequest], + Union[ + evaluation.Evaluation, + Awaitable[evaluation.Evaluation] + ]]: + raise NotImplementedError() + + @property + def list_evaluations(self) -> Callable[ + [document_processor_service.ListEvaluationsRequest], + Union[ + document_processor_service.ListEvaluationsResponse, + Awaitable[document_processor_service.ListEvaluationsResponse] + ]]: + raise NotImplementedError() + + @property + def import_processor_version(self) -> Callable[ + [document_processor_service.ImportProcessorVersionRequest], + Union[ + operations_pb2.Operation, + Awaitable[operations_pb2.Operation] + ]]: + raise NotImplementedError() + + @property + def list_operations( + self, + ) -> Callable[ + [operations_pb2.ListOperationsRequest], + Union[operations_pb2.ListOperationsResponse, Awaitable[operations_pb2.ListOperationsResponse]], + ]: + raise NotImplementedError() + + @property + def get_operation( + self, + ) -> Callable[ + [operations_pb2.GetOperationRequest], + Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]], + ]: + raise NotImplementedError() + + @property + def cancel_operation( + self, + ) -> Callable[ + [operations_pb2.CancelOperationRequest], + None, + ]: + raise NotImplementedError() + + @property + def get_location(self, + ) -> Callable[ + [locations_pb2.GetLocationRequest], + Union[locations_pb2.Location, Awaitable[locations_pb2.Location]], + ]: + raise NotImplementedError() + + @property + def list_locations(self, + ) -> Callable[ + [locations_pb2.ListLocationsRequest], + Union[locations_pb2.ListLocationsResponse, Awaitable[locations_pb2.ListLocationsResponse]], + ]: + raise NotImplementedError() + + @property + def kind(self) -> str: + raise NotImplementedError() + + +__all__ = ( + 'DocumentProcessorServiceTransport', +) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_processor_service/transports/grpc.py b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_processor_service/transports/grpc.py new file mode 100644 index 000000000000..31297233e049 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_processor_service/transports/grpc.py @@ -0,0 +1,974 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import warnings +from typing import Callable, Dict, Optional, Sequence, Tuple, Union + +from google.api_core import grpc_helpers +from google.api_core import operations_v1 +from google.api_core import gapic_v1 +import google.auth # type: ignore +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore + +import grpc # type: ignore + +from google.cloud.documentai_v1beta3.types import document_processor_service +from google.cloud.documentai_v1beta3.types import evaluation +from google.cloud.documentai_v1beta3.types import processor +from google.cloud.documentai_v1beta3.types import processor as gcd_processor +from google.cloud.documentai_v1beta3.types import processor_type +from google.cloud.location import locations_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +from .base import DocumentProcessorServiceTransport, DEFAULT_CLIENT_INFO + + +class DocumentProcessorServiceGrpcTransport(DocumentProcessorServiceTransport): + """gRPC backend transport for DocumentProcessorService. + + Service to call Document AI to process documents according to + the processor's definition. Processors are built using + state-of-the-art Google AI such as natural language, computer + vision, and translation to extract structured information from + unstructured or semi-structured documents. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends protocol buffers over the wire using gRPC (which is built on + top of HTTP/2); the ``grpcio`` package must be installed. + """ + _stubs: Dict[str, Callable] + + def __init__(self, *, + host: str = 'documentai.googleapis.com', + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + channel: Optional[grpc.Channel] = None, + api_mtls_endpoint: Optional[str] = None, + client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None, + client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'documentai.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + This argument is ignored if ``channel`` is provided. + credentials_file (Optional[str]): A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if ``channel`` is provided. + scopes (Optional(Sequence[str])): A list of scopes. This argument is + ignored if ``channel`` is provided. + channel (Optional[grpc.Channel]): A ``Channel`` instance through + which to make calls. + api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint. + If provided, it overrides the ``host`` argument and tries to create + a mutual TLS channel with client SSL credentials from + ``client_cert_source`` or application default SSL credentials. + client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]): + Deprecated. A callback to provide client SSL certificate bytes and + private key bytes, both in PEM format. It is ignored if + ``api_mtls_endpoint`` is None. + ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials + for the grpc channel. It is ignored if ``channel`` is provided. + client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]): + A callback to provide client certificate bytes and private key bytes, + both in PEM format. It is used to configure a mutual TLS channel. It is + ignored if ``channel`` or ``ssl_channel_credentials`` is provided. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport + creation failed for any reason. + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + self._grpc_channel = None + self._ssl_channel_credentials = ssl_channel_credentials + self._stubs: Dict[str, Callable] = {} + self._operations_client: Optional[operations_v1.OperationsClient] = None + + if api_mtls_endpoint: + warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning) + if client_cert_source: + warnings.warn("client_cert_source is deprecated", DeprecationWarning) + + if channel: + # Ignore credentials if a channel was passed. + credentials = False + # If a channel was explicitly provided, set it. + self._grpc_channel = channel + self._ssl_channel_credentials = None + + else: + if api_mtls_endpoint: + host = api_mtls_endpoint + + # Create SSL credentials with client_cert_source or application + # default SSL credentials. + if client_cert_source: + cert, key = client_cert_source() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + else: + self._ssl_channel_credentials = SslCredentials().ssl_credentials + + else: + if client_cert_source_for_mtls and not ssl_channel_credentials: + cert, key = client_cert_source_for_mtls() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + + # The base transport sets the host, credentials and scopes + super().__init__( + host=host, + credentials=credentials, + credentials_file=credentials_file, + scopes=scopes, + quota_project_id=quota_project_id, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience, + ) + + if not self._grpc_channel: + self._grpc_channel = type(self).create_channel( + self._host, + # use the credentials which are saved + credentials=self._credentials, + # Set ``credentials_file`` to ``None`` here as + # the credentials that we saved earlier should be used. + credentials_file=None, + scopes=self._scopes, + ssl_credentials=self._ssl_channel_credentials, + quota_project_id=quota_project_id, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + # Wrap messages. This must be done after self._grpc_channel exists + self._prep_wrapped_messages(client_info) + + @classmethod + def create_channel(cls, + host: str = 'documentai.googleapis.com', + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + **kwargs) -> grpc.Channel: + """Create and return a gRPC channel object. + Args: + host (Optional[str]): The host for the channel to use. + credentials (Optional[~.Credentials]): The + authorization credentials to attach to requests. These + credentials identify this application to the service. If + none are specified, the client will attempt to ascertain + the credentials from the environment. + credentials_file (Optional[str]): A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is mutually exclusive with credentials. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + kwargs (Optional[dict]): Keyword arguments, which are passed to the + channel creation. + Returns: + grpc.Channel: A gRPC channel object. + + Raises: + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + + return grpc_helpers.create_channel( + host, + credentials=credentials, + credentials_file=credentials_file, + quota_project_id=quota_project_id, + default_scopes=cls.AUTH_SCOPES, + scopes=scopes, + default_host=cls.DEFAULT_HOST, + **kwargs + ) + + @property + def grpc_channel(self) -> grpc.Channel: + """Return the channel designed to connect to this service. + """ + return self._grpc_channel + + @property + def operations_client(self) -> operations_v1.OperationsClient: + """Create the client designed to process long-running operations. + + This property caches on the instance; repeated calls return the same + client. + """ + # Quick check: Only create a new client if we do not already have one. + if self._operations_client is None: + self._operations_client = operations_v1.OperationsClient( + self.grpc_channel + ) + + # Return the client from cache. + return self._operations_client + + @property + def process_document(self) -> Callable[ + [document_processor_service.ProcessRequest], + document_processor_service.ProcessResponse]: + r"""Return a callable for the process document method over gRPC. + + Processes a single document. + + Returns: + Callable[[~.ProcessRequest], + ~.ProcessResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'process_document' not in self._stubs: + self._stubs['process_document'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentProcessorService/ProcessDocument', + request_serializer=document_processor_service.ProcessRequest.serialize, + response_deserializer=document_processor_service.ProcessResponse.deserialize, + ) + return self._stubs['process_document'] + + @property + def batch_process_documents(self) -> Callable[ + [document_processor_service.BatchProcessRequest], + operations_pb2.Operation]: + r"""Return a callable for the batch process documents method over gRPC. + + LRO endpoint to batch process many documents. The output is + written to Cloud Storage as JSON in the [Document] format. + + Returns: + Callable[[~.BatchProcessRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'batch_process_documents' not in self._stubs: + self._stubs['batch_process_documents'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentProcessorService/BatchProcessDocuments', + request_serializer=document_processor_service.BatchProcessRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['batch_process_documents'] + + @property + def fetch_processor_types(self) -> Callable[ + [document_processor_service.FetchProcessorTypesRequest], + document_processor_service.FetchProcessorTypesResponse]: + r"""Return a callable for the fetch processor types method over gRPC. + + Fetches processor types. Note that we don't use + [ListProcessorTypes][google.cloud.documentai.v1beta3.DocumentProcessorService.ListProcessorTypes] + here, because it isn't paginated. + + Returns: + Callable[[~.FetchProcessorTypesRequest], + ~.FetchProcessorTypesResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'fetch_processor_types' not in self._stubs: + self._stubs['fetch_processor_types'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentProcessorService/FetchProcessorTypes', + request_serializer=document_processor_service.FetchProcessorTypesRequest.serialize, + response_deserializer=document_processor_service.FetchProcessorTypesResponse.deserialize, + ) + return self._stubs['fetch_processor_types'] + + @property + def list_processor_types(self) -> Callable[ + [document_processor_service.ListProcessorTypesRequest], + document_processor_service.ListProcessorTypesResponse]: + r"""Return a callable for the list processor types method over gRPC. + + Lists the processor types that exist. + + Returns: + Callable[[~.ListProcessorTypesRequest], + ~.ListProcessorTypesResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'list_processor_types' not in self._stubs: + self._stubs['list_processor_types'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentProcessorService/ListProcessorTypes', + request_serializer=document_processor_service.ListProcessorTypesRequest.serialize, + response_deserializer=document_processor_service.ListProcessorTypesResponse.deserialize, + ) + return self._stubs['list_processor_types'] + + @property + def get_processor_type(self) -> Callable[ + [document_processor_service.GetProcessorTypeRequest], + processor_type.ProcessorType]: + r"""Return a callable for the get processor type method over gRPC. + + Gets a processor type detail. + + Returns: + Callable[[~.GetProcessorTypeRequest], + ~.ProcessorType]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'get_processor_type' not in self._stubs: + self._stubs['get_processor_type'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentProcessorService/GetProcessorType', + request_serializer=document_processor_service.GetProcessorTypeRequest.serialize, + response_deserializer=processor_type.ProcessorType.deserialize, + ) + return self._stubs['get_processor_type'] + + @property + def list_processors(self) -> Callable[ + [document_processor_service.ListProcessorsRequest], + document_processor_service.ListProcessorsResponse]: + r"""Return a callable for the list processors method over gRPC. + + Lists all processors which belong to this project. + + Returns: + Callable[[~.ListProcessorsRequest], + ~.ListProcessorsResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'list_processors' not in self._stubs: + self._stubs['list_processors'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentProcessorService/ListProcessors', + request_serializer=document_processor_service.ListProcessorsRequest.serialize, + response_deserializer=document_processor_service.ListProcessorsResponse.deserialize, + ) + return self._stubs['list_processors'] + + @property + def get_processor(self) -> Callable[ + [document_processor_service.GetProcessorRequest], + processor.Processor]: + r"""Return a callable for the get processor method over gRPC. + + Gets a processor detail. + + Returns: + Callable[[~.GetProcessorRequest], + ~.Processor]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'get_processor' not in self._stubs: + self._stubs['get_processor'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentProcessorService/GetProcessor', + request_serializer=document_processor_service.GetProcessorRequest.serialize, + response_deserializer=processor.Processor.deserialize, + ) + return self._stubs['get_processor'] + + @property + def train_processor_version(self) -> Callable[ + [document_processor_service.TrainProcessorVersionRequest], + operations_pb2.Operation]: + r"""Return a callable for the train processor version method over gRPC. + + Trains a new processor version. Operation metadata is returned + as + [TrainProcessorVersionMetadata][google.cloud.documentai.v1beta3.TrainProcessorVersionMetadata]. + + Returns: + Callable[[~.TrainProcessorVersionRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'train_processor_version' not in self._stubs: + self._stubs['train_processor_version'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentProcessorService/TrainProcessorVersion', + request_serializer=document_processor_service.TrainProcessorVersionRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['train_processor_version'] + + @property + def get_processor_version(self) -> Callable[ + [document_processor_service.GetProcessorVersionRequest], + processor.ProcessorVersion]: + r"""Return a callable for the get processor version method over gRPC. + + Gets a processor version detail. + + Returns: + Callable[[~.GetProcessorVersionRequest], + ~.ProcessorVersion]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'get_processor_version' not in self._stubs: + self._stubs['get_processor_version'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentProcessorService/GetProcessorVersion', + request_serializer=document_processor_service.GetProcessorVersionRequest.serialize, + response_deserializer=processor.ProcessorVersion.deserialize, + ) + return self._stubs['get_processor_version'] + + @property + def list_processor_versions(self) -> Callable[ + [document_processor_service.ListProcessorVersionsRequest], + document_processor_service.ListProcessorVersionsResponse]: + r"""Return a callable for the list processor versions method over gRPC. + + Lists all versions of a processor. + + Returns: + Callable[[~.ListProcessorVersionsRequest], + ~.ListProcessorVersionsResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'list_processor_versions' not in self._stubs: + self._stubs['list_processor_versions'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentProcessorService/ListProcessorVersions', + request_serializer=document_processor_service.ListProcessorVersionsRequest.serialize, + response_deserializer=document_processor_service.ListProcessorVersionsResponse.deserialize, + ) + return self._stubs['list_processor_versions'] + + @property + def delete_processor_version(self) -> Callable[ + [document_processor_service.DeleteProcessorVersionRequest], + operations_pb2.Operation]: + r"""Return a callable for the delete processor version method over gRPC. + + Deletes the processor version, all artifacts under + the processor version will be deleted. + + Returns: + Callable[[~.DeleteProcessorVersionRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'delete_processor_version' not in self._stubs: + self._stubs['delete_processor_version'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentProcessorService/DeleteProcessorVersion', + request_serializer=document_processor_service.DeleteProcessorVersionRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['delete_processor_version'] + + @property + def deploy_processor_version(self) -> Callable[ + [document_processor_service.DeployProcessorVersionRequest], + operations_pb2.Operation]: + r"""Return a callable for the deploy processor version method over gRPC. + + Deploys the processor version. + + Returns: + Callable[[~.DeployProcessorVersionRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'deploy_processor_version' not in self._stubs: + self._stubs['deploy_processor_version'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentProcessorService/DeployProcessorVersion', + request_serializer=document_processor_service.DeployProcessorVersionRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['deploy_processor_version'] + + @property + def undeploy_processor_version(self) -> Callable[ + [document_processor_service.UndeployProcessorVersionRequest], + operations_pb2.Operation]: + r"""Return a callable for the undeploy processor version method over gRPC. + + Undeploys the processor version. + + Returns: + Callable[[~.UndeployProcessorVersionRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'undeploy_processor_version' not in self._stubs: + self._stubs['undeploy_processor_version'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentProcessorService/UndeployProcessorVersion', + request_serializer=document_processor_service.UndeployProcessorVersionRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['undeploy_processor_version'] + + @property + def create_processor(self) -> Callable[ + [document_processor_service.CreateProcessorRequest], + gcd_processor.Processor]: + r"""Return a callable for the create processor method over gRPC. + + Creates a processor from the + [ProcessorType][google.cloud.documentai.v1beta3.ProcessorType] + provided. The processor will be at ``ENABLED`` state by default + after its creation. + + Returns: + Callable[[~.CreateProcessorRequest], + ~.Processor]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'create_processor' not in self._stubs: + self._stubs['create_processor'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentProcessorService/CreateProcessor', + request_serializer=document_processor_service.CreateProcessorRequest.serialize, + response_deserializer=gcd_processor.Processor.deserialize, + ) + return self._stubs['create_processor'] + + @property + def delete_processor(self) -> Callable[ + [document_processor_service.DeleteProcessorRequest], + operations_pb2.Operation]: + r"""Return a callable for the delete processor method over gRPC. + + Deletes the processor, unloads all deployed model + artifacts if it was enabled and then deletes all + artifacts associated with this processor. + + Returns: + Callable[[~.DeleteProcessorRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'delete_processor' not in self._stubs: + self._stubs['delete_processor'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentProcessorService/DeleteProcessor', + request_serializer=document_processor_service.DeleteProcessorRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['delete_processor'] + + @property + def enable_processor(self) -> Callable[ + [document_processor_service.EnableProcessorRequest], + operations_pb2.Operation]: + r"""Return a callable for the enable processor method over gRPC. + + Enables a processor + + Returns: + Callable[[~.EnableProcessorRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'enable_processor' not in self._stubs: + self._stubs['enable_processor'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentProcessorService/EnableProcessor', + request_serializer=document_processor_service.EnableProcessorRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['enable_processor'] + + @property + def disable_processor(self) -> Callable[ + [document_processor_service.DisableProcessorRequest], + operations_pb2.Operation]: + r"""Return a callable for the disable processor method over gRPC. + + Disables a processor + + Returns: + Callable[[~.DisableProcessorRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'disable_processor' not in self._stubs: + self._stubs['disable_processor'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentProcessorService/DisableProcessor', + request_serializer=document_processor_service.DisableProcessorRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['disable_processor'] + + @property + def set_default_processor_version(self) -> Callable[ + [document_processor_service.SetDefaultProcessorVersionRequest], + operations_pb2.Operation]: + r"""Return a callable for the set default processor version method over gRPC. + + Set the default (active) version of a + [Processor][google.cloud.documentai.v1beta3.Processor] that will + be used in + [ProcessDocument][google.cloud.documentai.v1beta3.DocumentProcessorService.ProcessDocument] + and + [BatchProcessDocuments][google.cloud.documentai.v1beta3.DocumentProcessorService.BatchProcessDocuments]. + + Returns: + Callable[[~.SetDefaultProcessorVersionRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'set_default_processor_version' not in self._stubs: + self._stubs['set_default_processor_version'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentProcessorService/SetDefaultProcessorVersion', + request_serializer=document_processor_service.SetDefaultProcessorVersionRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['set_default_processor_version'] + + @property + def review_document(self) -> Callable[ + [document_processor_service.ReviewDocumentRequest], + operations_pb2.Operation]: + r"""Return a callable for the review document method over gRPC. + + Send a document for Human Review. The input document + should be processed by the specified processor. + + Returns: + Callable[[~.ReviewDocumentRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'review_document' not in self._stubs: + self._stubs['review_document'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentProcessorService/ReviewDocument', + request_serializer=document_processor_service.ReviewDocumentRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['review_document'] + + @property + def evaluate_processor_version(self) -> Callable[ + [document_processor_service.EvaluateProcessorVersionRequest], + operations_pb2.Operation]: + r"""Return a callable for the evaluate processor version method over gRPC. + + Evaluates a ProcessorVersion against annotated + documents, producing an Evaluation. + + Returns: + Callable[[~.EvaluateProcessorVersionRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'evaluate_processor_version' not in self._stubs: + self._stubs['evaluate_processor_version'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentProcessorService/EvaluateProcessorVersion', + request_serializer=document_processor_service.EvaluateProcessorVersionRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['evaluate_processor_version'] + + @property + def get_evaluation(self) -> Callable[ + [document_processor_service.GetEvaluationRequest], + evaluation.Evaluation]: + r"""Return a callable for the get evaluation method over gRPC. + + Retrieves a specific evaluation. + + Returns: + Callable[[~.GetEvaluationRequest], + ~.Evaluation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'get_evaluation' not in self._stubs: + self._stubs['get_evaluation'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentProcessorService/GetEvaluation', + request_serializer=document_processor_service.GetEvaluationRequest.serialize, + response_deserializer=evaluation.Evaluation.deserialize, + ) + return self._stubs['get_evaluation'] + + @property + def list_evaluations(self) -> Callable[ + [document_processor_service.ListEvaluationsRequest], + document_processor_service.ListEvaluationsResponse]: + r"""Return a callable for the list evaluations method over gRPC. + + Retrieves a set of evaluations for a given processor + version. + + Returns: + Callable[[~.ListEvaluationsRequest], + ~.ListEvaluationsResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'list_evaluations' not in self._stubs: + self._stubs['list_evaluations'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentProcessorService/ListEvaluations', + request_serializer=document_processor_service.ListEvaluationsRequest.serialize, + response_deserializer=document_processor_service.ListEvaluationsResponse.deserialize, + ) + return self._stubs['list_evaluations'] + + @property + def import_processor_version(self) -> Callable[ + [document_processor_service.ImportProcessorVersionRequest], + operations_pb2.Operation]: + r"""Return a callable for the import processor version method over gRPC. + + Imports a processor version from source processor + version. + + Returns: + Callable[[~.ImportProcessorVersionRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'import_processor_version' not in self._stubs: + self._stubs['import_processor_version'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentProcessorService/ImportProcessorVersion', + request_serializer=document_processor_service.ImportProcessorVersionRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['import_processor_version'] + + def close(self): + self.grpc_channel.close() + + @property + def cancel_operation( + self, + ) -> Callable[[operations_pb2.CancelOperationRequest], None]: + r"""Return a callable for the cancel_operation method over gRPC. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "cancel_operation" not in self._stubs: + self._stubs["cancel_operation"] = self.grpc_channel.unary_unary( + "/google.longrunning.Operations/CancelOperation", + request_serializer=operations_pb2.CancelOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["cancel_operation"] + + @property + def get_operation( + self, + ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]: + r"""Return a callable for the get_operation method over gRPC. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_operation" not in self._stubs: + self._stubs["get_operation"] = self.grpc_channel.unary_unary( + "/google.longrunning.Operations/GetOperation", + request_serializer=operations_pb2.GetOperationRequest.SerializeToString, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["get_operation"] + + @property + def list_operations( + self, + ) -> Callable[[operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse]: + r"""Return a callable for the list_operations method over gRPC. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_operations" not in self._stubs: + self._stubs["list_operations"] = self.grpc_channel.unary_unary( + "/google.longrunning.Operations/ListOperations", + request_serializer=operations_pb2.ListOperationsRequest.SerializeToString, + response_deserializer=operations_pb2.ListOperationsResponse.FromString, + ) + return self._stubs["list_operations"] + + @property + def list_locations( + self, + ) -> Callable[[locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse]: + r"""Return a callable for the list locations method over gRPC. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_locations" not in self._stubs: + self._stubs["list_locations"] = self.grpc_channel.unary_unary( + "/google.cloud.location.Locations/ListLocations", + request_serializer=locations_pb2.ListLocationsRequest.SerializeToString, + response_deserializer=locations_pb2.ListLocationsResponse.FromString, + ) + return self._stubs["list_locations"] + + @property + def get_location( + self, + ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]: + r"""Return a callable for the list locations method over gRPC. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_location" not in self._stubs: + self._stubs["get_location"] = self.grpc_channel.unary_unary( + "/google.cloud.location.Locations/GetLocation", + request_serializer=locations_pb2.GetLocationRequest.SerializeToString, + response_deserializer=locations_pb2.Location.FromString, + ) + return self._stubs["get_location"] + + @property + def kind(self) -> str: + return "grpc" + + +__all__ = ( + 'DocumentProcessorServiceGrpcTransport', +) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_processor_service/transports/grpc_asyncio.py b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_processor_service/transports/grpc_asyncio.py new file mode 100644 index 000000000000..70d5e759d4b0 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_processor_service/transports/grpc_asyncio.py @@ -0,0 +1,973 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import warnings +from typing import Awaitable, Callable, Dict, Optional, Sequence, Tuple, Union + +from google.api_core import gapic_v1 +from google.api_core import grpc_helpers_async +from google.api_core import operations_v1 +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore + +import grpc # type: ignore +from grpc.experimental import aio # type: ignore + +from google.cloud.documentai_v1beta3.types import document_processor_service +from google.cloud.documentai_v1beta3.types import evaluation +from google.cloud.documentai_v1beta3.types import processor +from google.cloud.documentai_v1beta3.types import processor as gcd_processor +from google.cloud.documentai_v1beta3.types import processor_type +from google.cloud.location import locations_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +from .base import DocumentProcessorServiceTransport, DEFAULT_CLIENT_INFO +from .grpc import DocumentProcessorServiceGrpcTransport + + +class DocumentProcessorServiceGrpcAsyncIOTransport(DocumentProcessorServiceTransport): + """gRPC AsyncIO backend transport for DocumentProcessorService. + + Service to call Document AI to process documents according to + the processor's definition. Processors are built using + state-of-the-art Google AI such as natural language, computer + vision, and translation to extract structured information from + unstructured or semi-structured documents. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends protocol buffers over the wire using gRPC (which is built on + top of HTTP/2); the ``grpcio`` package must be installed. + """ + + _grpc_channel: aio.Channel + _stubs: Dict[str, Callable] = {} + + @classmethod + def create_channel(cls, + host: str = 'documentai.googleapis.com', + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + **kwargs) -> aio.Channel: + """Create and return a gRPC AsyncIO channel object. + Args: + host (Optional[str]): The host for the channel to use. + credentials (Optional[~.Credentials]): The + authorization credentials to attach to requests. These + credentials identify this application to the service. If + none are specified, the client will attempt to ascertain + the credentials from the environment. + credentials_file (Optional[str]): A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if ``channel`` is provided. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + kwargs (Optional[dict]): Keyword arguments, which are passed to the + channel creation. + Returns: + aio.Channel: A gRPC AsyncIO channel object. + """ + + return grpc_helpers_async.create_channel( + host, + credentials=credentials, + credentials_file=credentials_file, + quota_project_id=quota_project_id, + default_scopes=cls.AUTH_SCOPES, + scopes=scopes, + default_host=cls.DEFAULT_HOST, + **kwargs + ) + + def __init__(self, *, + host: str = 'documentai.googleapis.com', + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + channel: Optional[aio.Channel] = None, + api_mtls_endpoint: Optional[str] = None, + client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None, + client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'documentai.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + This argument is ignored if ``channel`` is provided. + credentials_file (Optional[str]): A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if ``channel`` is provided. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + channel (Optional[aio.Channel]): A ``Channel`` instance through + which to make calls. + api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint. + If provided, it overrides the ``host`` argument and tries to create + a mutual TLS channel with client SSL credentials from + ``client_cert_source`` or application default SSL credentials. + client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]): + Deprecated. A callback to provide client SSL certificate bytes and + private key bytes, both in PEM format. It is ignored if + ``api_mtls_endpoint`` is None. + ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials + for the grpc channel. It is ignored if ``channel`` is provided. + client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]): + A callback to provide client certificate bytes and private key bytes, + both in PEM format. It is used to configure a mutual TLS channel. It is + ignored if ``channel`` or ``ssl_channel_credentials`` is provided. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + self._grpc_channel = None + self._ssl_channel_credentials = ssl_channel_credentials + self._stubs: Dict[str, Callable] = {} + self._operations_client: Optional[operations_v1.OperationsAsyncClient] = None + + if api_mtls_endpoint: + warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning) + if client_cert_source: + warnings.warn("client_cert_source is deprecated", DeprecationWarning) + + if channel: + # Ignore credentials if a channel was passed. + credentials = False + # If a channel was explicitly provided, set it. + self._grpc_channel = channel + self._ssl_channel_credentials = None + else: + if api_mtls_endpoint: + host = api_mtls_endpoint + + # Create SSL credentials with client_cert_source or application + # default SSL credentials. + if client_cert_source: + cert, key = client_cert_source() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + else: + self._ssl_channel_credentials = SslCredentials().ssl_credentials + + else: + if client_cert_source_for_mtls and not ssl_channel_credentials: + cert, key = client_cert_source_for_mtls() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + + # The base transport sets the host, credentials and scopes + super().__init__( + host=host, + credentials=credentials, + credentials_file=credentials_file, + scopes=scopes, + quota_project_id=quota_project_id, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience, + ) + + if not self._grpc_channel: + self._grpc_channel = type(self).create_channel( + self._host, + # use the credentials which are saved + credentials=self._credentials, + # Set ``credentials_file`` to ``None`` here as + # the credentials that we saved earlier should be used. + credentials_file=None, + scopes=self._scopes, + ssl_credentials=self._ssl_channel_credentials, + quota_project_id=quota_project_id, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + # Wrap messages. This must be done after self._grpc_channel exists + self._prep_wrapped_messages(client_info) + + @property + def grpc_channel(self) -> aio.Channel: + """Create the channel designed to connect to this service. + + This property caches on the instance; repeated calls return + the same channel. + """ + # Return the channel from cache. + return self._grpc_channel + + @property + def operations_client(self) -> operations_v1.OperationsAsyncClient: + """Create the client designed to process long-running operations. + + This property caches on the instance; repeated calls return the same + client. + """ + # Quick check: Only create a new client if we do not already have one. + if self._operations_client is None: + self._operations_client = operations_v1.OperationsAsyncClient( + self.grpc_channel + ) + + # Return the client from cache. + return self._operations_client + + @property + def process_document(self) -> Callable[ + [document_processor_service.ProcessRequest], + Awaitable[document_processor_service.ProcessResponse]]: + r"""Return a callable for the process document method over gRPC. + + Processes a single document. + + Returns: + Callable[[~.ProcessRequest], + Awaitable[~.ProcessResponse]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'process_document' not in self._stubs: + self._stubs['process_document'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentProcessorService/ProcessDocument', + request_serializer=document_processor_service.ProcessRequest.serialize, + response_deserializer=document_processor_service.ProcessResponse.deserialize, + ) + return self._stubs['process_document'] + + @property + def batch_process_documents(self) -> Callable[ + [document_processor_service.BatchProcessRequest], + Awaitable[operations_pb2.Operation]]: + r"""Return a callable for the batch process documents method over gRPC. + + LRO endpoint to batch process many documents. The output is + written to Cloud Storage as JSON in the [Document] format. + + Returns: + Callable[[~.BatchProcessRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'batch_process_documents' not in self._stubs: + self._stubs['batch_process_documents'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentProcessorService/BatchProcessDocuments', + request_serializer=document_processor_service.BatchProcessRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['batch_process_documents'] + + @property + def fetch_processor_types(self) -> Callable[ + [document_processor_service.FetchProcessorTypesRequest], + Awaitable[document_processor_service.FetchProcessorTypesResponse]]: + r"""Return a callable for the fetch processor types method over gRPC. + + Fetches processor types. Note that we don't use + [ListProcessorTypes][google.cloud.documentai.v1beta3.DocumentProcessorService.ListProcessorTypes] + here, because it isn't paginated. + + Returns: + Callable[[~.FetchProcessorTypesRequest], + Awaitable[~.FetchProcessorTypesResponse]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'fetch_processor_types' not in self._stubs: + self._stubs['fetch_processor_types'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentProcessorService/FetchProcessorTypes', + request_serializer=document_processor_service.FetchProcessorTypesRequest.serialize, + response_deserializer=document_processor_service.FetchProcessorTypesResponse.deserialize, + ) + return self._stubs['fetch_processor_types'] + + @property + def list_processor_types(self) -> Callable[ + [document_processor_service.ListProcessorTypesRequest], + Awaitable[document_processor_service.ListProcessorTypesResponse]]: + r"""Return a callable for the list processor types method over gRPC. + + Lists the processor types that exist. + + Returns: + Callable[[~.ListProcessorTypesRequest], + Awaitable[~.ListProcessorTypesResponse]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'list_processor_types' not in self._stubs: + self._stubs['list_processor_types'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentProcessorService/ListProcessorTypes', + request_serializer=document_processor_service.ListProcessorTypesRequest.serialize, + response_deserializer=document_processor_service.ListProcessorTypesResponse.deserialize, + ) + return self._stubs['list_processor_types'] + + @property + def get_processor_type(self) -> Callable[ + [document_processor_service.GetProcessorTypeRequest], + Awaitable[processor_type.ProcessorType]]: + r"""Return a callable for the get processor type method over gRPC. + + Gets a processor type detail. + + Returns: + Callable[[~.GetProcessorTypeRequest], + Awaitable[~.ProcessorType]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'get_processor_type' not in self._stubs: + self._stubs['get_processor_type'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentProcessorService/GetProcessorType', + request_serializer=document_processor_service.GetProcessorTypeRequest.serialize, + response_deserializer=processor_type.ProcessorType.deserialize, + ) + return self._stubs['get_processor_type'] + + @property + def list_processors(self) -> Callable[ + [document_processor_service.ListProcessorsRequest], + Awaitable[document_processor_service.ListProcessorsResponse]]: + r"""Return a callable for the list processors method over gRPC. + + Lists all processors which belong to this project. + + Returns: + Callable[[~.ListProcessorsRequest], + Awaitable[~.ListProcessorsResponse]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'list_processors' not in self._stubs: + self._stubs['list_processors'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentProcessorService/ListProcessors', + request_serializer=document_processor_service.ListProcessorsRequest.serialize, + response_deserializer=document_processor_service.ListProcessorsResponse.deserialize, + ) + return self._stubs['list_processors'] + + @property + def get_processor(self) -> Callable[ + [document_processor_service.GetProcessorRequest], + Awaitable[processor.Processor]]: + r"""Return a callable for the get processor method over gRPC. + + Gets a processor detail. + + Returns: + Callable[[~.GetProcessorRequest], + Awaitable[~.Processor]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'get_processor' not in self._stubs: + self._stubs['get_processor'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentProcessorService/GetProcessor', + request_serializer=document_processor_service.GetProcessorRequest.serialize, + response_deserializer=processor.Processor.deserialize, + ) + return self._stubs['get_processor'] + + @property + def train_processor_version(self) -> Callable[ + [document_processor_service.TrainProcessorVersionRequest], + Awaitable[operations_pb2.Operation]]: + r"""Return a callable for the train processor version method over gRPC. + + Trains a new processor version. Operation metadata is returned + as + [TrainProcessorVersionMetadata][google.cloud.documentai.v1beta3.TrainProcessorVersionMetadata]. + + Returns: + Callable[[~.TrainProcessorVersionRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'train_processor_version' not in self._stubs: + self._stubs['train_processor_version'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentProcessorService/TrainProcessorVersion', + request_serializer=document_processor_service.TrainProcessorVersionRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['train_processor_version'] + + @property + def get_processor_version(self) -> Callable[ + [document_processor_service.GetProcessorVersionRequest], + Awaitable[processor.ProcessorVersion]]: + r"""Return a callable for the get processor version method over gRPC. + + Gets a processor version detail. + + Returns: + Callable[[~.GetProcessorVersionRequest], + Awaitable[~.ProcessorVersion]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'get_processor_version' not in self._stubs: + self._stubs['get_processor_version'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentProcessorService/GetProcessorVersion', + request_serializer=document_processor_service.GetProcessorVersionRequest.serialize, + response_deserializer=processor.ProcessorVersion.deserialize, + ) + return self._stubs['get_processor_version'] + + @property + def list_processor_versions(self) -> Callable[ + [document_processor_service.ListProcessorVersionsRequest], + Awaitable[document_processor_service.ListProcessorVersionsResponse]]: + r"""Return a callable for the list processor versions method over gRPC. + + Lists all versions of a processor. + + Returns: + Callable[[~.ListProcessorVersionsRequest], + Awaitable[~.ListProcessorVersionsResponse]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'list_processor_versions' not in self._stubs: + self._stubs['list_processor_versions'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentProcessorService/ListProcessorVersions', + request_serializer=document_processor_service.ListProcessorVersionsRequest.serialize, + response_deserializer=document_processor_service.ListProcessorVersionsResponse.deserialize, + ) + return self._stubs['list_processor_versions'] + + @property + def delete_processor_version(self) -> Callable[ + [document_processor_service.DeleteProcessorVersionRequest], + Awaitable[operations_pb2.Operation]]: + r"""Return a callable for the delete processor version method over gRPC. + + Deletes the processor version, all artifacts under + the processor version will be deleted. + + Returns: + Callable[[~.DeleteProcessorVersionRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'delete_processor_version' not in self._stubs: + self._stubs['delete_processor_version'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentProcessorService/DeleteProcessorVersion', + request_serializer=document_processor_service.DeleteProcessorVersionRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['delete_processor_version'] + + @property + def deploy_processor_version(self) -> Callable[ + [document_processor_service.DeployProcessorVersionRequest], + Awaitable[operations_pb2.Operation]]: + r"""Return a callable for the deploy processor version method over gRPC. + + Deploys the processor version. + + Returns: + Callable[[~.DeployProcessorVersionRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'deploy_processor_version' not in self._stubs: + self._stubs['deploy_processor_version'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentProcessorService/DeployProcessorVersion', + request_serializer=document_processor_service.DeployProcessorVersionRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['deploy_processor_version'] + + @property + def undeploy_processor_version(self) -> Callable[ + [document_processor_service.UndeployProcessorVersionRequest], + Awaitable[operations_pb2.Operation]]: + r"""Return a callable for the undeploy processor version method over gRPC. + + Undeploys the processor version. + + Returns: + Callable[[~.UndeployProcessorVersionRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'undeploy_processor_version' not in self._stubs: + self._stubs['undeploy_processor_version'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentProcessorService/UndeployProcessorVersion', + request_serializer=document_processor_service.UndeployProcessorVersionRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['undeploy_processor_version'] + + @property + def create_processor(self) -> Callable[ + [document_processor_service.CreateProcessorRequest], + Awaitable[gcd_processor.Processor]]: + r"""Return a callable for the create processor method over gRPC. + + Creates a processor from the + [ProcessorType][google.cloud.documentai.v1beta3.ProcessorType] + provided. The processor will be at ``ENABLED`` state by default + after its creation. + + Returns: + Callable[[~.CreateProcessorRequest], + Awaitable[~.Processor]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'create_processor' not in self._stubs: + self._stubs['create_processor'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentProcessorService/CreateProcessor', + request_serializer=document_processor_service.CreateProcessorRequest.serialize, + response_deserializer=gcd_processor.Processor.deserialize, + ) + return self._stubs['create_processor'] + + @property + def delete_processor(self) -> Callable[ + [document_processor_service.DeleteProcessorRequest], + Awaitable[operations_pb2.Operation]]: + r"""Return a callable for the delete processor method over gRPC. + + Deletes the processor, unloads all deployed model + artifacts if it was enabled and then deletes all + artifacts associated with this processor. + + Returns: + Callable[[~.DeleteProcessorRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'delete_processor' not in self._stubs: + self._stubs['delete_processor'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentProcessorService/DeleteProcessor', + request_serializer=document_processor_service.DeleteProcessorRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['delete_processor'] + + @property + def enable_processor(self) -> Callable[ + [document_processor_service.EnableProcessorRequest], + Awaitable[operations_pb2.Operation]]: + r"""Return a callable for the enable processor method over gRPC. + + Enables a processor + + Returns: + Callable[[~.EnableProcessorRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'enable_processor' not in self._stubs: + self._stubs['enable_processor'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentProcessorService/EnableProcessor', + request_serializer=document_processor_service.EnableProcessorRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['enable_processor'] + + @property + def disable_processor(self) -> Callable[ + [document_processor_service.DisableProcessorRequest], + Awaitable[operations_pb2.Operation]]: + r"""Return a callable for the disable processor method over gRPC. + + Disables a processor + + Returns: + Callable[[~.DisableProcessorRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'disable_processor' not in self._stubs: + self._stubs['disable_processor'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentProcessorService/DisableProcessor', + request_serializer=document_processor_service.DisableProcessorRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['disable_processor'] + + @property + def set_default_processor_version(self) -> Callable[ + [document_processor_service.SetDefaultProcessorVersionRequest], + Awaitable[operations_pb2.Operation]]: + r"""Return a callable for the set default processor version method over gRPC. + + Set the default (active) version of a + [Processor][google.cloud.documentai.v1beta3.Processor] that will + be used in + [ProcessDocument][google.cloud.documentai.v1beta3.DocumentProcessorService.ProcessDocument] + and + [BatchProcessDocuments][google.cloud.documentai.v1beta3.DocumentProcessorService.BatchProcessDocuments]. + + Returns: + Callable[[~.SetDefaultProcessorVersionRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'set_default_processor_version' not in self._stubs: + self._stubs['set_default_processor_version'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentProcessorService/SetDefaultProcessorVersion', + request_serializer=document_processor_service.SetDefaultProcessorVersionRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['set_default_processor_version'] + + @property + def review_document(self) -> Callable[ + [document_processor_service.ReviewDocumentRequest], + Awaitable[operations_pb2.Operation]]: + r"""Return a callable for the review document method over gRPC. + + Send a document for Human Review. The input document + should be processed by the specified processor. + + Returns: + Callable[[~.ReviewDocumentRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'review_document' not in self._stubs: + self._stubs['review_document'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentProcessorService/ReviewDocument', + request_serializer=document_processor_service.ReviewDocumentRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['review_document'] + + @property + def evaluate_processor_version(self) -> Callable[ + [document_processor_service.EvaluateProcessorVersionRequest], + Awaitable[operations_pb2.Operation]]: + r"""Return a callable for the evaluate processor version method over gRPC. + + Evaluates a ProcessorVersion against annotated + documents, producing an Evaluation. + + Returns: + Callable[[~.EvaluateProcessorVersionRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'evaluate_processor_version' not in self._stubs: + self._stubs['evaluate_processor_version'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentProcessorService/EvaluateProcessorVersion', + request_serializer=document_processor_service.EvaluateProcessorVersionRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['evaluate_processor_version'] + + @property + def get_evaluation(self) -> Callable[ + [document_processor_service.GetEvaluationRequest], + Awaitable[evaluation.Evaluation]]: + r"""Return a callable for the get evaluation method over gRPC. + + Retrieves a specific evaluation. + + Returns: + Callable[[~.GetEvaluationRequest], + Awaitable[~.Evaluation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'get_evaluation' not in self._stubs: + self._stubs['get_evaluation'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentProcessorService/GetEvaluation', + request_serializer=document_processor_service.GetEvaluationRequest.serialize, + response_deserializer=evaluation.Evaluation.deserialize, + ) + return self._stubs['get_evaluation'] + + @property + def list_evaluations(self) -> Callable[ + [document_processor_service.ListEvaluationsRequest], + Awaitable[document_processor_service.ListEvaluationsResponse]]: + r"""Return a callable for the list evaluations method over gRPC. + + Retrieves a set of evaluations for a given processor + version. + + Returns: + Callable[[~.ListEvaluationsRequest], + Awaitable[~.ListEvaluationsResponse]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'list_evaluations' not in self._stubs: + self._stubs['list_evaluations'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentProcessorService/ListEvaluations', + request_serializer=document_processor_service.ListEvaluationsRequest.serialize, + response_deserializer=document_processor_service.ListEvaluationsResponse.deserialize, + ) + return self._stubs['list_evaluations'] + + @property + def import_processor_version(self) -> Callable[ + [document_processor_service.ImportProcessorVersionRequest], + Awaitable[operations_pb2.Operation]]: + r"""Return a callable for the import processor version method over gRPC. + + Imports a processor version from source processor + version. + + Returns: + Callable[[~.ImportProcessorVersionRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'import_processor_version' not in self._stubs: + self._stubs['import_processor_version'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentProcessorService/ImportProcessorVersion', + request_serializer=document_processor_service.ImportProcessorVersionRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['import_processor_version'] + + def close(self): + return self.grpc_channel.close() + + @property + def cancel_operation( + self, + ) -> Callable[[operations_pb2.CancelOperationRequest], None]: + r"""Return a callable for the cancel_operation method over gRPC. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "cancel_operation" not in self._stubs: + self._stubs["cancel_operation"] = self.grpc_channel.unary_unary( + "/google.longrunning.Operations/CancelOperation", + request_serializer=operations_pb2.CancelOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["cancel_operation"] + + @property + def get_operation( + self, + ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]: + r"""Return a callable for the get_operation method over gRPC. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_operation" not in self._stubs: + self._stubs["get_operation"] = self.grpc_channel.unary_unary( + "/google.longrunning.Operations/GetOperation", + request_serializer=operations_pb2.GetOperationRequest.SerializeToString, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["get_operation"] + + @property + def list_operations( + self, + ) -> Callable[[operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse]: + r"""Return a callable for the list_operations method over gRPC. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_operations" not in self._stubs: + self._stubs["list_operations"] = self.grpc_channel.unary_unary( + "/google.longrunning.Operations/ListOperations", + request_serializer=operations_pb2.ListOperationsRequest.SerializeToString, + response_deserializer=operations_pb2.ListOperationsResponse.FromString, + ) + return self._stubs["list_operations"] + + @property + def list_locations( + self, + ) -> Callable[[locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse]: + r"""Return a callable for the list locations method over gRPC. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_locations" not in self._stubs: + self._stubs["list_locations"] = self.grpc_channel.unary_unary( + "/google.cloud.location.Locations/ListLocations", + request_serializer=locations_pb2.ListLocationsRequest.SerializeToString, + response_deserializer=locations_pb2.ListLocationsResponse.FromString, + ) + return self._stubs["list_locations"] + + @property + def get_location( + self, + ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]: + r"""Return a callable for the list locations method over gRPC. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_location" not in self._stubs: + self._stubs["get_location"] = self.grpc_channel.unary_unary( + "/google.cloud.location.Locations/GetLocation", + request_serializer=locations_pb2.GetLocationRequest.SerializeToString, + response_deserializer=locations_pb2.Location.FromString, + ) + return self._stubs["get_location"] + + +__all__ = ( + 'DocumentProcessorServiceGrpcAsyncIOTransport', +) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_processor_service/transports/rest.py b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_processor_service/transports/rest.py new file mode 100644 index 000000000000..9b525543eee6 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_processor_service/transports/rest.py @@ -0,0 +1,3410 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +from google.auth.transport.requests import AuthorizedSession # type: ignore +import json # type: ignore +import grpc # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.auth import credentials as ga_credentials # type: ignore +from google.api_core import exceptions as core_exceptions +from google.api_core import retry as retries +from google.api_core import rest_helpers +from google.api_core import rest_streaming +from google.api_core import path_template +from google.api_core import gapic_v1 + +from google.protobuf import json_format +from google.api_core import operations_v1 +from google.cloud.location import locations_pb2 # type: ignore +from requests import __version__ as requests_version +import dataclasses +import re +from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Union +import warnings + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + + +from google.cloud.documentai_v1beta3.types import document_processor_service +from google.cloud.documentai_v1beta3.types import evaluation +from google.cloud.documentai_v1beta3.types import processor +from google.cloud.documentai_v1beta3.types import processor as gcd_processor +from google.cloud.documentai_v1beta3.types import processor_type +from google.longrunning import operations_pb2 # type: ignore + +from .base import DocumentProcessorServiceTransport, DEFAULT_CLIENT_INFO as BASE_DEFAULT_CLIENT_INFO + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=BASE_DEFAULT_CLIENT_INFO.gapic_version, + grpc_version=None, + rest_version=requests_version, +) + + +class DocumentProcessorServiceRestInterceptor: + """Interceptor for DocumentProcessorService. + + Interceptors are used to manipulate requests, request metadata, and responses + in arbitrary ways. + Example use cases include: + * Logging + * Verifying requests according to service or custom semantics + * Stripping extraneous information from responses + + These use cases and more can be enabled by injecting an + instance of a custom subclass when constructing the DocumentProcessorServiceRestTransport. + + .. code-block:: python + class MyCustomDocumentProcessorServiceInterceptor(DocumentProcessorServiceRestInterceptor): + def pre_batch_process_documents(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_batch_process_documents(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_create_processor(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_create_processor(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_delete_processor(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_delete_processor(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_delete_processor_version(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_delete_processor_version(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_deploy_processor_version(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_deploy_processor_version(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_disable_processor(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_disable_processor(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_enable_processor(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_enable_processor(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_evaluate_processor_version(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_evaluate_processor_version(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_fetch_processor_types(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_fetch_processor_types(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_get_evaluation(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_get_evaluation(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_get_processor(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_get_processor(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_get_processor_type(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_get_processor_type(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_get_processor_version(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_get_processor_version(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_import_processor_version(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_import_processor_version(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_list_evaluations(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_list_evaluations(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_list_processors(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_list_processors(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_list_processor_types(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_list_processor_types(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_list_processor_versions(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_list_processor_versions(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_process_document(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_process_document(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_review_document(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_review_document(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_set_default_processor_version(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_set_default_processor_version(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_train_processor_version(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_train_processor_version(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_undeploy_processor_version(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_undeploy_processor_version(self, response): + logging.log(f"Received response: {response}") + return response + + transport = DocumentProcessorServiceRestTransport(interceptor=MyCustomDocumentProcessorServiceInterceptor()) + client = DocumentProcessorServiceClient(transport=transport) + + + """ + def pre_batch_process_documents(self, request: document_processor_service.BatchProcessRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_processor_service.BatchProcessRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for batch_process_documents + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_batch_process_documents(self, response: operations_pb2.Operation) -> operations_pb2.Operation: + """Post-rpc interceptor for batch_process_documents + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_create_processor(self, request: document_processor_service.CreateProcessorRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_processor_service.CreateProcessorRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for create_processor + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_create_processor(self, response: gcd_processor.Processor) -> gcd_processor.Processor: + """Post-rpc interceptor for create_processor + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_delete_processor(self, request: document_processor_service.DeleteProcessorRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_processor_service.DeleteProcessorRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for delete_processor + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_delete_processor(self, response: operations_pb2.Operation) -> operations_pb2.Operation: + """Post-rpc interceptor for delete_processor + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_delete_processor_version(self, request: document_processor_service.DeleteProcessorVersionRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_processor_service.DeleteProcessorVersionRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for delete_processor_version + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_delete_processor_version(self, response: operations_pb2.Operation) -> operations_pb2.Operation: + """Post-rpc interceptor for delete_processor_version + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_deploy_processor_version(self, request: document_processor_service.DeployProcessorVersionRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_processor_service.DeployProcessorVersionRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for deploy_processor_version + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_deploy_processor_version(self, response: operations_pb2.Operation) -> operations_pb2.Operation: + """Post-rpc interceptor for deploy_processor_version + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_disable_processor(self, request: document_processor_service.DisableProcessorRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_processor_service.DisableProcessorRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for disable_processor + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_disable_processor(self, response: operations_pb2.Operation) -> operations_pb2.Operation: + """Post-rpc interceptor for disable_processor + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_enable_processor(self, request: document_processor_service.EnableProcessorRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_processor_service.EnableProcessorRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for enable_processor + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_enable_processor(self, response: operations_pb2.Operation) -> operations_pb2.Operation: + """Post-rpc interceptor for enable_processor + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_evaluate_processor_version(self, request: document_processor_service.EvaluateProcessorVersionRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_processor_service.EvaluateProcessorVersionRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for evaluate_processor_version + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_evaluate_processor_version(self, response: operations_pb2.Operation) -> operations_pb2.Operation: + """Post-rpc interceptor for evaluate_processor_version + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_fetch_processor_types(self, request: document_processor_service.FetchProcessorTypesRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_processor_service.FetchProcessorTypesRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for fetch_processor_types + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_fetch_processor_types(self, response: document_processor_service.FetchProcessorTypesResponse) -> document_processor_service.FetchProcessorTypesResponse: + """Post-rpc interceptor for fetch_processor_types + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_get_evaluation(self, request: document_processor_service.GetEvaluationRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_processor_service.GetEvaluationRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for get_evaluation + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_get_evaluation(self, response: evaluation.Evaluation) -> evaluation.Evaluation: + """Post-rpc interceptor for get_evaluation + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_get_processor(self, request: document_processor_service.GetProcessorRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_processor_service.GetProcessorRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for get_processor + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_get_processor(self, response: processor.Processor) -> processor.Processor: + """Post-rpc interceptor for get_processor + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_get_processor_type(self, request: document_processor_service.GetProcessorTypeRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_processor_service.GetProcessorTypeRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for get_processor_type + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_get_processor_type(self, response: processor_type.ProcessorType) -> processor_type.ProcessorType: + """Post-rpc interceptor for get_processor_type + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_get_processor_version(self, request: document_processor_service.GetProcessorVersionRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_processor_service.GetProcessorVersionRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for get_processor_version + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_get_processor_version(self, response: processor.ProcessorVersion) -> processor.ProcessorVersion: + """Post-rpc interceptor for get_processor_version + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_import_processor_version(self, request: document_processor_service.ImportProcessorVersionRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_processor_service.ImportProcessorVersionRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for import_processor_version + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_import_processor_version(self, response: operations_pb2.Operation) -> operations_pb2.Operation: + """Post-rpc interceptor for import_processor_version + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_list_evaluations(self, request: document_processor_service.ListEvaluationsRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_processor_service.ListEvaluationsRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for list_evaluations + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_list_evaluations(self, response: document_processor_service.ListEvaluationsResponse) -> document_processor_service.ListEvaluationsResponse: + """Post-rpc interceptor for list_evaluations + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_list_processors(self, request: document_processor_service.ListProcessorsRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_processor_service.ListProcessorsRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for list_processors + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_list_processors(self, response: document_processor_service.ListProcessorsResponse) -> document_processor_service.ListProcessorsResponse: + """Post-rpc interceptor for list_processors + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_list_processor_types(self, request: document_processor_service.ListProcessorTypesRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_processor_service.ListProcessorTypesRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for list_processor_types + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_list_processor_types(self, response: document_processor_service.ListProcessorTypesResponse) -> document_processor_service.ListProcessorTypesResponse: + """Post-rpc interceptor for list_processor_types + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_list_processor_versions(self, request: document_processor_service.ListProcessorVersionsRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_processor_service.ListProcessorVersionsRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for list_processor_versions + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_list_processor_versions(self, response: document_processor_service.ListProcessorVersionsResponse) -> document_processor_service.ListProcessorVersionsResponse: + """Post-rpc interceptor for list_processor_versions + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_process_document(self, request: document_processor_service.ProcessRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_processor_service.ProcessRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for process_document + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_process_document(self, response: document_processor_service.ProcessResponse) -> document_processor_service.ProcessResponse: + """Post-rpc interceptor for process_document + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_review_document(self, request: document_processor_service.ReviewDocumentRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_processor_service.ReviewDocumentRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for review_document + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_review_document(self, response: operations_pb2.Operation) -> operations_pb2.Operation: + """Post-rpc interceptor for review_document + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_set_default_processor_version(self, request: document_processor_service.SetDefaultProcessorVersionRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_processor_service.SetDefaultProcessorVersionRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for set_default_processor_version + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_set_default_processor_version(self, response: operations_pb2.Operation) -> operations_pb2.Operation: + """Post-rpc interceptor for set_default_processor_version + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_train_processor_version(self, request: document_processor_service.TrainProcessorVersionRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_processor_service.TrainProcessorVersionRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for train_processor_version + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_train_processor_version(self, response: operations_pb2.Operation) -> operations_pb2.Operation: + """Post-rpc interceptor for train_processor_version + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_undeploy_processor_version(self, request: document_processor_service.UndeployProcessorVersionRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_processor_service.UndeployProcessorVersionRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for undeploy_processor_version + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_undeploy_processor_version(self, response: operations_pb2.Operation) -> operations_pb2.Operation: + """Post-rpc interceptor for undeploy_processor_version + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + + def pre_get_location( + self, request: locations_pb2.GetLocationRequest, metadata: Sequence[Tuple[str, str]] + ) -> Tuple[locations_pb2.GetLocationRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for get_location + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_get_location( + self, response: locations_pb2.Location + ) -> locations_pb2.Location: + """Post-rpc interceptor for get_location + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_list_locations( + self, request: locations_pb2.ListLocationsRequest, metadata: Sequence[Tuple[str, str]] + ) -> Tuple[locations_pb2.ListLocationsRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for list_locations + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_list_locations( + self, response: locations_pb2.ListLocationsResponse + ) -> locations_pb2.ListLocationsResponse: + """Post-rpc interceptor for list_locations + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_cancel_operation( + self, request: operations_pb2.CancelOperationRequest, metadata: Sequence[Tuple[str, str]] + ) -> Tuple[operations_pb2.CancelOperationRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for cancel_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_cancel_operation( + self, response: None + ) -> None: + """Post-rpc interceptor for cancel_operation + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_get_operation( + self, request: operations_pb2.GetOperationRequest, metadata: Sequence[Tuple[str, str]] + ) -> Tuple[operations_pb2.GetOperationRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for get_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_get_operation( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for get_operation + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + def pre_list_operations( + self, request: operations_pb2.ListOperationsRequest, metadata: Sequence[Tuple[str, str]] + ) -> Tuple[operations_pb2.ListOperationsRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for list_operations + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentProcessorService server. + """ + return request, metadata + + def post_list_operations( + self, response: operations_pb2.ListOperationsResponse + ) -> operations_pb2.ListOperationsResponse: + """Post-rpc interceptor for list_operations + + Override in a subclass to manipulate the response + after it is returned by the DocumentProcessorService server but before + it is returned to user code. + """ + return response + + +@dataclasses.dataclass +class DocumentProcessorServiceRestStub: + _session: AuthorizedSession + _host: str + _interceptor: DocumentProcessorServiceRestInterceptor + + +class DocumentProcessorServiceRestTransport(DocumentProcessorServiceTransport): + """REST backend transport for DocumentProcessorService. + + Service to call Document AI to process documents according to + the processor's definition. Processors are built using + state-of-the-art Google AI such as natural language, computer + vision, and translation to extract structured information from + unstructured or semi-structured documents. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends JSON representations of protocol buffers over HTTP/1.1 + + """ + + def __init__(self, *, + host: str = 'documentai.googleapis.com', + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + client_cert_source_for_mtls: Optional[Callable[[ + ], Tuple[bytes, bytes]]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + url_scheme: str = 'https', + interceptor: Optional[DocumentProcessorServiceRestInterceptor] = None, + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'documentai.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + + credentials_file (Optional[str]): A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if ``channel`` is provided. + scopes (Optional(Sequence[str])): A list of scopes. This argument is + ignored if ``channel`` is provided. + client_cert_source_for_mtls (Callable[[], Tuple[bytes, bytes]]): Client + certificate to configure mutual TLS HTTP channel. It is ignored + if ``channel`` is provided. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you are developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + url_scheme: the protocol scheme for the API endpoint. Normally + "https", but for testing or local servers, + "http" can be specified. + """ + # Run the base constructor + # TODO(yon-mg): resolve other ctor params i.e. scopes, quota, etc. + # TODO: When custom host (api_endpoint) is set, `scopes` must *also* be set on the + # credentials object + maybe_url_match = re.match("^(?Phttp(?:s)?://)?(?P.*)$", host) + if maybe_url_match is None: + raise ValueError(f"Unexpected hostname structure: {host}") # pragma: NO COVER + + url_match_items = maybe_url_match.groupdict() + + host = f"{url_scheme}://{host}" if not url_match_items["scheme"] else host + + super().__init__( + host=host, + credentials=credentials, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience + ) + self._session = AuthorizedSession( + self._credentials, default_host=self.DEFAULT_HOST) + self._operations_client: Optional[operations_v1.AbstractOperationsClient] = None + if client_cert_source_for_mtls: + self._session.configure_mtls_channel(client_cert_source_for_mtls) + self._interceptor = interceptor or DocumentProcessorServiceRestInterceptor() + self._prep_wrapped_messages(client_info) + + @property + def operations_client(self) -> operations_v1.AbstractOperationsClient: + """Create the client designed to process long-running operations. + + This property caches on the instance; repeated calls return the same + client. + """ + # Only create a new client if we do not already have one. + if self._operations_client is None: + http_options: Dict[str, List[Dict[str, str]]] = { + 'google.longrunning.Operations.CancelOperation': [ + { + 'method': 'post', + 'uri': '/v1beta3/{name=projects/*/locations/*/operations/*}:cancel', + }, + { + 'method': 'post', + 'uri': '/uiv1beta3/{name=projects/*/locations/*/operations/*}:cancel', + }, + ], + 'google.longrunning.Operations.GetOperation': [ + { + 'method': 'get', + 'uri': '/v1beta3/{name=projects/*/locations/*/operations/*}', + }, + { + 'method': 'get', + 'uri': '/uiv1beta3/{name=projects/*/locations/*/operations/*}', + }, + ], + 'google.longrunning.Operations.ListOperations': [ + { + 'method': 'get', + 'uri': '/v1beta3/{name=projects/*/locations/*/operations}', + }, + { + 'method': 'get', + 'uri': '/uiv1beta3/{name=projects/*/locations/*/operations}', + }, + ], + } + + rest_transport = operations_v1.OperationsRestTransport( + host=self._host, + # use the credentials which are saved + credentials=self._credentials, + scopes=self._scopes, + http_options=http_options, + path_prefix="v1beta3") + + self._operations_client = operations_v1.AbstractOperationsClient(transport=rest_transport) + + # Return the client from cache. + return self._operations_client + + class _BatchProcessDocuments(DocumentProcessorServiceRestStub): + def __hash__(self): + return hash("BatchProcessDocuments") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_processor_service.BatchProcessRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> operations_pb2.Operation: + r"""Call the batch process documents method over HTTP. + + Args: + request (~.document_processor_service.BatchProcessRequest): + The request object. Request message for + [BatchProcessDocuments][google.cloud.documentai.v1beta3.DocumentProcessorService.BatchProcessDocuments]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'post', + 'uri': '/v1beta3/{name=projects/*/locations/*/processors/*}:batchProcess', + 'body': '*', + }, +{ + 'method': 'post', + 'uri': '/v1beta3/{name=projects/*/locations/*/processors/*/processorVersions/*}:batchProcess', + 'body': '*', + }, + ] + request, metadata = self._interceptor.pre_batch_process_documents(request, metadata) + pb_request = document_processor_service.BatchProcessRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request['body'], + use_integers_for_enums=True + ) + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = operations_pb2.Operation() + json_format.Parse(response.content, resp, ignore_unknown_fields=True) + resp = self._interceptor.post_batch_process_documents(resp) + return resp + + class _CreateProcessor(DocumentProcessorServiceRestStub): + def __hash__(self): + return hash("CreateProcessor") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_processor_service.CreateProcessorRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> gcd_processor.Processor: + r"""Call the create processor method over HTTP. + + Args: + request (~.document_processor_service.CreateProcessorRequest): + The request object. Request message for the + [CreateProcessor][google.cloud.documentai.v1beta3.DocumentProcessorService.CreateProcessor] + method. Notice this request is sent to a regionalized + backend service. If the + [ProcessorType][google.cloud.documentai.v1beta3.ProcessorType] + isn't available in that region, the creation fails. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.gcd_processor.Processor: + The first-class citizen for Document + AI. Each processor defines how to + extract structural information from a + document. + + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'post', + 'uri': '/v1beta3/{parent=projects/*/locations/*}/processors', + 'body': 'processor', + }, + ] + request, metadata = self._interceptor.pre_create_processor(request, metadata) + pb_request = document_processor_service.CreateProcessorRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request['body'], + use_integers_for_enums=True + ) + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = gcd_processor.Processor() + pb_resp = gcd_processor.Processor.pb(resp) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + resp = self._interceptor.post_create_processor(resp) + return resp + + class _DeleteProcessor(DocumentProcessorServiceRestStub): + def __hash__(self): + return hash("DeleteProcessor") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_processor_service.DeleteProcessorRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> operations_pb2.Operation: + r"""Call the delete processor method over HTTP. + + Args: + request (~.document_processor_service.DeleteProcessorRequest): + The request object. Request message for the + [DeleteProcessor][google.cloud.documentai.v1beta3.DocumentProcessorService.DeleteProcessor] + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'delete', + 'uri': '/v1beta3/{name=projects/*/locations/*/processors/*}', + }, + ] + request, metadata = self._interceptor.pre_delete_processor(request, metadata) + pb_request = document_processor_service.DeleteProcessorRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = operations_pb2.Operation() + json_format.Parse(response.content, resp, ignore_unknown_fields=True) + resp = self._interceptor.post_delete_processor(resp) + return resp + + class _DeleteProcessorVersion(DocumentProcessorServiceRestStub): + def __hash__(self): + return hash("DeleteProcessorVersion") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_processor_service.DeleteProcessorVersionRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> operations_pb2.Operation: + r"""Call the delete processor version method over HTTP. + + Args: + request (~.document_processor_service.DeleteProcessorVersionRequest): + The request object. Request message for the + [DeleteProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.DeleteProcessorVersion] + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'delete', + 'uri': '/v1beta3/{name=projects/*/locations/*/processors/*/processorVersions/*}', + }, + ] + request, metadata = self._interceptor.pre_delete_processor_version(request, metadata) + pb_request = document_processor_service.DeleteProcessorVersionRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = operations_pb2.Operation() + json_format.Parse(response.content, resp, ignore_unknown_fields=True) + resp = self._interceptor.post_delete_processor_version(resp) + return resp + + class _DeployProcessorVersion(DocumentProcessorServiceRestStub): + def __hash__(self): + return hash("DeployProcessorVersion") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_processor_service.DeployProcessorVersionRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> operations_pb2.Operation: + r"""Call the deploy processor version method over HTTP. + + Args: + request (~.document_processor_service.DeployProcessorVersionRequest): + The request object. Request message for the + [DeployProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.DeployProcessorVersion] + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'post', + 'uri': '/v1beta3/{name=projects/*/locations/*/processors/*/processorVersions/*}:deploy', + 'body': '*', + }, + ] + request, metadata = self._interceptor.pre_deploy_processor_version(request, metadata) + pb_request = document_processor_service.DeployProcessorVersionRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request['body'], + use_integers_for_enums=True + ) + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = operations_pb2.Operation() + json_format.Parse(response.content, resp, ignore_unknown_fields=True) + resp = self._interceptor.post_deploy_processor_version(resp) + return resp + + class _DisableProcessor(DocumentProcessorServiceRestStub): + def __hash__(self): + return hash("DisableProcessor") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_processor_service.DisableProcessorRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> operations_pb2.Operation: + r"""Call the disable processor method over HTTP. + + Args: + request (~.document_processor_service.DisableProcessorRequest): + The request object. Request message for the + [DisableProcessor][google.cloud.documentai.v1beta3.DocumentProcessorService.DisableProcessor] + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'post', + 'uri': '/v1beta3/{name=projects/*/locations/*/processors/*}:disable', + 'body': '*', + }, + ] + request, metadata = self._interceptor.pre_disable_processor(request, metadata) + pb_request = document_processor_service.DisableProcessorRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request['body'], + use_integers_for_enums=True + ) + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = operations_pb2.Operation() + json_format.Parse(response.content, resp, ignore_unknown_fields=True) + resp = self._interceptor.post_disable_processor(resp) + return resp + + class _EnableProcessor(DocumentProcessorServiceRestStub): + def __hash__(self): + return hash("EnableProcessor") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_processor_service.EnableProcessorRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> operations_pb2.Operation: + r"""Call the enable processor method over HTTP. + + Args: + request (~.document_processor_service.EnableProcessorRequest): + The request object. Request message for the + [EnableProcessor][google.cloud.documentai.v1beta3.DocumentProcessorService.EnableProcessor] + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'post', + 'uri': '/v1beta3/{name=projects/*/locations/*/processors/*}:enable', + 'body': '*', + }, + ] + request, metadata = self._interceptor.pre_enable_processor(request, metadata) + pb_request = document_processor_service.EnableProcessorRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request['body'], + use_integers_for_enums=True + ) + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = operations_pb2.Operation() + json_format.Parse(response.content, resp, ignore_unknown_fields=True) + resp = self._interceptor.post_enable_processor(resp) + return resp + + class _EvaluateProcessorVersion(DocumentProcessorServiceRestStub): + def __hash__(self): + return hash("EvaluateProcessorVersion") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_processor_service.EvaluateProcessorVersionRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> operations_pb2.Operation: + r"""Call the evaluate processor + version method over HTTP. + + Args: + request (~.document_processor_service.EvaluateProcessorVersionRequest): + The request object. Evaluates the given + [ProcessorVersion][google.cloud.documentai.v1beta3.ProcessorVersion] + against the supplied documents. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'post', + 'uri': '/v1beta3/{processor_version=projects/*/locations/*/processors/*/processorVersions/*}:evaluateProcessorVersion', + 'body': '*', + }, + ] + request, metadata = self._interceptor.pre_evaluate_processor_version(request, metadata) + pb_request = document_processor_service.EvaluateProcessorVersionRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request['body'], + use_integers_for_enums=True + ) + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = operations_pb2.Operation() + json_format.Parse(response.content, resp, ignore_unknown_fields=True) + resp = self._interceptor.post_evaluate_processor_version(resp) + return resp + + class _FetchProcessorTypes(DocumentProcessorServiceRestStub): + def __hash__(self): + return hash("FetchProcessorTypes") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_processor_service.FetchProcessorTypesRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> document_processor_service.FetchProcessorTypesResponse: + r"""Call the fetch processor types method over HTTP. + + Args: + request (~.document_processor_service.FetchProcessorTypesRequest): + The request object. Request message for the + [FetchProcessorTypes][google.cloud.documentai.v1beta3.DocumentProcessorService.FetchProcessorTypes] + method. Some processor types may require the project be + added to an allowlist. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.document_processor_service.FetchProcessorTypesResponse: + Response message for the + [FetchProcessorTypes][google.cloud.documentai.v1beta3.DocumentProcessorService.FetchProcessorTypes] + method. + + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'get', + 'uri': '/v1beta3/{parent=projects/*/locations/*}:fetchProcessorTypes', + }, + ] + request, metadata = self._interceptor.pre_fetch_processor_types(request, metadata) + pb_request = document_processor_service.FetchProcessorTypesRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = document_processor_service.FetchProcessorTypesResponse() + pb_resp = document_processor_service.FetchProcessorTypesResponse.pb(resp) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + resp = self._interceptor.post_fetch_processor_types(resp) + return resp + + class _GetEvaluation(DocumentProcessorServiceRestStub): + def __hash__(self): + return hash("GetEvaluation") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_processor_service.GetEvaluationRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> evaluation.Evaluation: + r"""Call the get evaluation method over HTTP. + + Args: + request (~.document_processor_service.GetEvaluationRequest): + The request object. Retrieves a specific Evaluation. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.evaluation.Evaluation: + An evaluation of a ProcessorVersion's + performance. + + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'get', + 'uri': '/v1beta3/{name=projects/*/locations/*/processors/*/processorVersions/*/evaluations/*}', + }, + ] + request, metadata = self._interceptor.pre_get_evaluation(request, metadata) + pb_request = document_processor_service.GetEvaluationRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = evaluation.Evaluation() + pb_resp = evaluation.Evaluation.pb(resp) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + resp = self._interceptor.post_get_evaluation(resp) + return resp + + class _GetProcessor(DocumentProcessorServiceRestStub): + def __hash__(self): + return hash("GetProcessor") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_processor_service.GetProcessorRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> processor.Processor: + r"""Call the get processor method over HTTP. + + Args: + request (~.document_processor_service.GetProcessorRequest): + The request object. Request message for the + [GetProcessor][google.cloud.documentai.v1beta3.DocumentProcessorService.GetProcessor] + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.processor.Processor: + The first-class citizen for Document + AI. Each processor defines how to + extract structural information from a + document. + + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'get', + 'uri': '/v1beta3/{name=projects/*/locations/*/processors/*}', + }, + ] + request, metadata = self._interceptor.pre_get_processor(request, metadata) + pb_request = document_processor_service.GetProcessorRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = processor.Processor() + pb_resp = processor.Processor.pb(resp) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + resp = self._interceptor.post_get_processor(resp) + return resp + + class _GetProcessorType(DocumentProcessorServiceRestStub): + def __hash__(self): + return hash("GetProcessorType") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_processor_service.GetProcessorTypeRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> processor_type.ProcessorType: + r"""Call the get processor type method over HTTP. + + Args: + request (~.document_processor_service.GetProcessorTypeRequest): + The request object. Request message for the + [GetProcessorType][google.cloud.documentai.v1beta3.DocumentProcessorService.GetProcessorType] + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.processor_type.ProcessorType: + A processor type is responsible for + performing a certain document + understanding task on a certain type of + document. + + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'get', + 'uri': '/v1beta3/{name=projects/*/locations/*/processorTypes/*}', + }, + ] + request, metadata = self._interceptor.pre_get_processor_type(request, metadata) + pb_request = document_processor_service.GetProcessorTypeRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = processor_type.ProcessorType() + pb_resp = processor_type.ProcessorType.pb(resp) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + resp = self._interceptor.post_get_processor_type(resp) + return resp + + class _GetProcessorVersion(DocumentProcessorServiceRestStub): + def __hash__(self): + return hash("GetProcessorVersion") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_processor_service.GetProcessorVersionRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> processor.ProcessorVersion: + r"""Call the get processor version method over HTTP. + + Args: + request (~.document_processor_service.GetProcessorVersionRequest): + The request object. Request message for the + [GetProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.GetProcessorVersion] + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.processor.ProcessorVersion: + A processor version is an + implementation of a processor. Each + processor can have multiple versions, + pretrained by Google internally or + uptrained by the customer. A processor + can only have one default version at a + time. Its document-processing behavior + is defined by that version. + + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'get', + 'uri': '/v1beta3/{name=projects/*/locations/*/processors/*/processorVersions/*}', + }, + ] + request, metadata = self._interceptor.pre_get_processor_version(request, metadata) + pb_request = document_processor_service.GetProcessorVersionRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = processor.ProcessorVersion() + pb_resp = processor.ProcessorVersion.pb(resp) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + resp = self._interceptor.post_get_processor_version(resp) + return resp + + class _ImportProcessorVersion(DocumentProcessorServiceRestStub): + def __hash__(self): + return hash("ImportProcessorVersion") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_processor_service.ImportProcessorVersionRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> operations_pb2.Operation: + r"""Call the import processor version method over HTTP. + + Args: + request (~.document_processor_service.ImportProcessorVersionRequest): + The request object. The request message for the + [ImportProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.ImportProcessorVersion] + method. + + The Document AI `Service + Agent `__ + of the destination project must have `Document AI Editor + role `__ + on the source project. + + The destination project is specified as part of the + [parent][google.cloud.documentai.v1beta3.ImportProcessorVersionRequest.parent] + field. The source project is specified as part of the + [source][google.cloud.documentai.v1beta3.ImportProcessorVersionRequest.processor_version_source] + or + [external_processor_version_source][google.cloud.documentai.v1beta3.ImportProcessorVersionRequest.external_processor_version_source] + field. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'post', + 'uri': '/v1beta3/{parent=projects/*/locations/*/processors/*}/processorVersions:importProcessorVersion', + 'body': '*', + }, + ] + request, metadata = self._interceptor.pre_import_processor_version(request, metadata) + pb_request = document_processor_service.ImportProcessorVersionRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request['body'], + use_integers_for_enums=True + ) + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = operations_pb2.Operation() + json_format.Parse(response.content, resp, ignore_unknown_fields=True) + resp = self._interceptor.post_import_processor_version(resp) + return resp + + class _ListEvaluations(DocumentProcessorServiceRestStub): + def __hash__(self): + return hash("ListEvaluations") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_processor_service.ListEvaluationsRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> document_processor_service.ListEvaluationsResponse: + r"""Call the list evaluations method over HTTP. + + Args: + request (~.document_processor_service.ListEvaluationsRequest): + The request object. Retrieves a list of evaluations for a given + [ProcessorVersion][google.cloud.documentai.v1beta3.ProcessorVersion]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.document_processor_service.ListEvaluationsResponse: + The response from ``ListEvaluations``. + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'get', + 'uri': '/v1beta3/{parent=projects/*/locations/*/processors/*/processorVersions/*}/evaluations', + }, + ] + request, metadata = self._interceptor.pre_list_evaluations(request, metadata) + pb_request = document_processor_service.ListEvaluationsRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = document_processor_service.ListEvaluationsResponse() + pb_resp = document_processor_service.ListEvaluationsResponse.pb(resp) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + resp = self._interceptor.post_list_evaluations(resp) + return resp + + class _ListProcessors(DocumentProcessorServiceRestStub): + def __hash__(self): + return hash("ListProcessors") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_processor_service.ListProcessorsRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> document_processor_service.ListProcessorsResponse: + r"""Call the list processors method over HTTP. + + Args: + request (~.document_processor_service.ListProcessorsRequest): + The request object. Request message for list all + processors belongs to a project. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.document_processor_service.ListProcessorsResponse: + Response message for the + [ListProcessors][google.cloud.documentai.v1beta3.DocumentProcessorService.ListProcessors] + method. + + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'get', + 'uri': '/v1beta3/{parent=projects/*/locations/*}/processors', + }, + ] + request, metadata = self._interceptor.pre_list_processors(request, metadata) + pb_request = document_processor_service.ListProcessorsRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = document_processor_service.ListProcessorsResponse() + pb_resp = document_processor_service.ListProcessorsResponse.pb(resp) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + resp = self._interceptor.post_list_processors(resp) + return resp + + class _ListProcessorTypes(DocumentProcessorServiceRestStub): + def __hash__(self): + return hash("ListProcessorTypes") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_processor_service.ListProcessorTypesRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> document_processor_service.ListProcessorTypesResponse: + r"""Call the list processor types method over HTTP. + + Args: + request (~.document_processor_service.ListProcessorTypesRequest): + The request object. Request message for the + [ListProcessorTypes][google.cloud.documentai.v1beta3.DocumentProcessorService.ListProcessorTypes] + method. Some processor types may require the project be + added to an allowlist. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.document_processor_service.ListProcessorTypesResponse: + Response message for the + [ListProcessorTypes][google.cloud.documentai.v1beta3.DocumentProcessorService.ListProcessorTypes] + method. + + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'get', + 'uri': '/v1beta3/{parent=projects/*/locations/*}/processorTypes', + }, + ] + request, metadata = self._interceptor.pre_list_processor_types(request, metadata) + pb_request = document_processor_service.ListProcessorTypesRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = document_processor_service.ListProcessorTypesResponse() + pb_resp = document_processor_service.ListProcessorTypesResponse.pb(resp) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + resp = self._interceptor.post_list_processor_types(resp) + return resp + + class _ListProcessorVersions(DocumentProcessorServiceRestStub): + def __hash__(self): + return hash("ListProcessorVersions") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_processor_service.ListProcessorVersionsRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> document_processor_service.ListProcessorVersionsResponse: + r"""Call the list processor versions method over HTTP. + + Args: + request (~.document_processor_service.ListProcessorVersionsRequest): + The request object. Request message for list all + processor versions belongs to a + processor. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.document_processor_service.ListProcessorVersionsResponse: + Response message for the + [ListProcessorVersions][google.cloud.documentai.v1beta3.DocumentProcessorService.ListProcessorVersions] + method. + + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'get', + 'uri': '/v1beta3/{parent=projects/*/locations/*/processors/*}/processorVersions', + }, + ] + request, metadata = self._interceptor.pre_list_processor_versions(request, metadata) + pb_request = document_processor_service.ListProcessorVersionsRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = document_processor_service.ListProcessorVersionsResponse() + pb_resp = document_processor_service.ListProcessorVersionsResponse.pb(resp) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + resp = self._interceptor.post_list_processor_versions(resp) + return resp + + class _ProcessDocument(DocumentProcessorServiceRestStub): + def __hash__(self): + return hash("ProcessDocument") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_processor_service.ProcessRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> document_processor_service.ProcessResponse: + r"""Call the process document method over HTTP. + + Args: + request (~.document_processor_service.ProcessRequest): + The request object. Request message for the + [ProcessDocument][google.cloud.documentai.v1beta3.DocumentProcessorService.ProcessDocument] + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.document_processor_service.ProcessResponse: + Response message for the + [ProcessDocument][google.cloud.documentai.v1beta3.DocumentProcessorService.ProcessDocument] + method. + + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'post', + 'uri': '/v1beta3/{name=projects/*/locations/*/processors/*}:process', + 'body': '*', + }, +{ + 'method': 'post', + 'uri': '/v1beta3/{name=projects/*/locations/*/processors/*/processorVersions/*}:process', + 'body': '*', + }, + ] + request, metadata = self._interceptor.pre_process_document(request, metadata) + pb_request = document_processor_service.ProcessRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request['body'], + use_integers_for_enums=True + ) + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = document_processor_service.ProcessResponse() + pb_resp = document_processor_service.ProcessResponse.pb(resp) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + resp = self._interceptor.post_process_document(resp) + return resp + + class _ReviewDocument(DocumentProcessorServiceRestStub): + def __hash__(self): + return hash("ReviewDocument") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_processor_service.ReviewDocumentRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> operations_pb2.Operation: + r"""Call the review document method over HTTP. + + Args: + request (~.document_processor_service.ReviewDocumentRequest): + The request object. Request message for the + [ReviewDocument][google.cloud.documentai.v1beta3.DocumentProcessorService.ReviewDocument] + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'post', + 'uri': '/v1beta3/{human_review_config=projects/*/locations/*/processors/*/humanReviewConfig}:reviewDocument', + 'body': '*', + }, + ] + request, metadata = self._interceptor.pre_review_document(request, metadata) + pb_request = document_processor_service.ReviewDocumentRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request['body'], + use_integers_for_enums=True + ) + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = operations_pb2.Operation() + json_format.Parse(response.content, resp, ignore_unknown_fields=True) + resp = self._interceptor.post_review_document(resp) + return resp + + class _SetDefaultProcessorVersion(DocumentProcessorServiceRestStub): + def __hash__(self): + return hash("SetDefaultProcessorVersion") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_processor_service.SetDefaultProcessorVersionRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> operations_pb2.Operation: + r"""Call the set default processor + version method over HTTP. + + Args: + request (~.document_processor_service.SetDefaultProcessorVersionRequest): + The request object. Request message for the + [SetDefaultProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.SetDefaultProcessorVersion] + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'post', + 'uri': '/v1beta3/{processor=projects/*/locations/*/processors/*}:setDefaultProcessorVersion', + 'body': '*', + }, + ] + request, metadata = self._interceptor.pre_set_default_processor_version(request, metadata) + pb_request = document_processor_service.SetDefaultProcessorVersionRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request['body'], + use_integers_for_enums=True + ) + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = operations_pb2.Operation() + json_format.Parse(response.content, resp, ignore_unknown_fields=True) + resp = self._interceptor.post_set_default_processor_version(resp) + return resp + + class _TrainProcessorVersion(DocumentProcessorServiceRestStub): + def __hash__(self): + return hash("TrainProcessorVersion") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_processor_service.TrainProcessorVersionRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> operations_pb2.Operation: + r"""Call the train processor version method over HTTP. + + Args: + request (~.document_processor_service.TrainProcessorVersionRequest): + The request object. Request message for the + [TrainProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.TrainProcessorVersion] + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'post', + 'uri': '/v1beta3/{parent=projects/*/locations/*/processors/*}/processorVersions:train', + 'body': '*', + }, + ] + request, metadata = self._interceptor.pre_train_processor_version(request, metadata) + pb_request = document_processor_service.TrainProcessorVersionRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request['body'], + use_integers_for_enums=True + ) + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = operations_pb2.Operation() + json_format.Parse(response.content, resp, ignore_unknown_fields=True) + resp = self._interceptor.post_train_processor_version(resp) + return resp + + class _UndeployProcessorVersion(DocumentProcessorServiceRestStub): + def __hash__(self): + return hash("UndeployProcessorVersion") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_processor_service.UndeployProcessorVersionRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> operations_pb2.Operation: + r"""Call the undeploy processor + version method over HTTP. + + Args: + request (~.document_processor_service.UndeployProcessorVersionRequest): + The request object. Request message for the + [UndeployProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.UndeployProcessorVersion] + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'post', + 'uri': '/v1beta3/{name=projects/*/locations/*/processors/*/processorVersions/*}:undeploy', + 'body': '*', + }, + ] + request, metadata = self._interceptor.pre_undeploy_processor_version(request, metadata) + pb_request = document_processor_service.UndeployProcessorVersionRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request['body'], + use_integers_for_enums=True + ) + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = operations_pb2.Operation() + json_format.Parse(response.content, resp, ignore_unknown_fields=True) + resp = self._interceptor.post_undeploy_processor_version(resp) + return resp + + @property + def batch_process_documents(self) -> Callable[ + [document_processor_service.BatchProcessRequest], + operations_pb2.Operation]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._BatchProcessDocuments(self._session, self._host, self._interceptor) # type: ignore + + @property + def create_processor(self) -> Callable[ + [document_processor_service.CreateProcessorRequest], + gcd_processor.Processor]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._CreateProcessor(self._session, self._host, self._interceptor) # type: ignore + + @property + def delete_processor(self) -> Callable[ + [document_processor_service.DeleteProcessorRequest], + operations_pb2.Operation]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._DeleteProcessor(self._session, self._host, self._interceptor) # type: ignore + + @property + def delete_processor_version(self) -> Callable[ + [document_processor_service.DeleteProcessorVersionRequest], + operations_pb2.Operation]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._DeleteProcessorVersion(self._session, self._host, self._interceptor) # type: ignore + + @property + def deploy_processor_version(self) -> Callable[ + [document_processor_service.DeployProcessorVersionRequest], + operations_pb2.Operation]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._DeployProcessorVersion(self._session, self._host, self._interceptor) # type: ignore + + @property + def disable_processor(self) -> Callable[ + [document_processor_service.DisableProcessorRequest], + operations_pb2.Operation]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._DisableProcessor(self._session, self._host, self._interceptor) # type: ignore + + @property + def enable_processor(self) -> Callable[ + [document_processor_service.EnableProcessorRequest], + operations_pb2.Operation]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._EnableProcessor(self._session, self._host, self._interceptor) # type: ignore + + @property + def evaluate_processor_version(self) -> Callable[ + [document_processor_service.EvaluateProcessorVersionRequest], + operations_pb2.Operation]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._EvaluateProcessorVersion(self._session, self._host, self._interceptor) # type: ignore + + @property + def fetch_processor_types(self) -> Callable[ + [document_processor_service.FetchProcessorTypesRequest], + document_processor_service.FetchProcessorTypesResponse]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._FetchProcessorTypes(self._session, self._host, self._interceptor) # type: ignore + + @property + def get_evaluation(self) -> Callable[ + [document_processor_service.GetEvaluationRequest], + evaluation.Evaluation]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._GetEvaluation(self._session, self._host, self._interceptor) # type: ignore + + @property + def get_processor(self) -> Callable[ + [document_processor_service.GetProcessorRequest], + processor.Processor]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._GetProcessor(self._session, self._host, self._interceptor) # type: ignore + + @property + def get_processor_type(self) -> Callable[ + [document_processor_service.GetProcessorTypeRequest], + processor_type.ProcessorType]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._GetProcessorType(self._session, self._host, self._interceptor) # type: ignore + + @property + def get_processor_version(self) -> Callable[ + [document_processor_service.GetProcessorVersionRequest], + processor.ProcessorVersion]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._GetProcessorVersion(self._session, self._host, self._interceptor) # type: ignore + + @property + def import_processor_version(self) -> Callable[ + [document_processor_service.ImportProcessorVersionRequest], + operations_pb2.Operation]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._ImportProcessorVersion(self._session, self._host, self._interceptor) # type: ignore + + @property + def list_evaluations(self) -> Callable[ + [document_processor_service.ListEvaluationsRequest], + document_processor_service.ListEvaluationsResponse]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._ListEvaluations(self._session, self._host, self._interceptor) # type: ignore + + @property + def list_processors(self) -> Callable[ + [document_processor_service.ListProcessorsRequest], + document_processor_service.ListProcessorsResponse]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._ListProcessors(self._session, self._host, self._interceptor) # type: ignore + + @property + def list_processor_types(self) -> Callable[ + [document_processor_service.ListProcessorTypesRequest], + document_processor_service.ListProcessorTypesResponse]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._ListProcessorTypes(self._session, self._host, self._interceptor) # type: ignore + + @property + def list_processor_versions(self) -> Callable[ + [document_processor_service.ListProcessorVersionsRequest], + document_processor_service.ListProcessorVersionsResponse]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._ListProcessorVersions(self._session, self._host, self._interceptor) # type: ignore + + @property + def process_document(self) -> Callable[ + [document_processor_service.ProcessRequest], + document_processor_service.ProcessResponse]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._ProcessDocument(self._session, self._host, self._interceptor) # type: ignore + + @property + def review_document(self) -> Callable[ + [document_processor_service.ReviewDocumentRequest], + operations_pb2.Operation]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._ReviewDocument(self._session, self._host, self._interceptor) # type: ignore + + @property + def set_default_processor_version(self) -> Callable[ + [document_processor_service.SetDefaultProcessorVersionRequest], + operations_pb2.Operation]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._SetDefaultProcessorVersion(self._session, self._host, self._interceptor) # type: ignore + + @property + def train_processor_version(self) -> Callable[ + [document_processor_service.TrainProcessorVersionRequest], + operations_pb2.Operation]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._TrainProcessorVersion(self._session, self._host, self._interceptor) # type: ignore + + @property + def undeploy_processor_version(self) -> Callable[ + [document_processor_service.UndeployProcessorVersionRequest], + operations_pb2.Operation]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._UndeployProcessorVersion(self._session, self._host, self._interceptor) # type: ignore + + @property + def get_location(self): + return self._GetLocation(self._session, self._host, self._interceptor) # type: ignore + + class _GetLocation(DocumentProcessorServiceRestStub): + def __call__(self, + request: locations_pb2.GetLocationRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> locations_pb2.Location: + + r"""Call the get location method over HTTP. + + Args: + request (locations_pb2.GetLocationRequest): + The request object for GetLocation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + locations_pb2.Location: Response from GetLocation method. + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'get', + 'uri': '/v1beta3/{name=projects/*/locations/*}', + }, +{ + 'method': 'get', + 'uri': '/uiv1beta3/{name=projects/*/locations/*}', + }, + ] + + request, metadata = self._interceptor.pre_get_location(request, metadata) + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode( + http_options, **request_kwargs) + + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json.dumps(transcoded_request['query_params'])) + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params), + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + resp = locations_pb2.Location() + resp = json_format.Parse(response.content.decode("utf-8"), resp) + resp = self._interceptor.post_get_location(resp) + return resp + + @property + def list_locations(self): + return self._ListLocations(self._session, self._host, self._interceptor) # type: ignore + + class _ListLocations(DocumentProcessorServiceRestStub): + def __call__(self, + request: locations_pb2.ListLocationsRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> locations_pb2.ListLocationsResponse: + + r"""Call the list locations method over HTTP. + + Args: + request (locations_pb2.ListLocationsRequest): + The request object for ListLocations method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + locations_pb2.ListLocationsResponse: Response from ListLocations method. + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'get', + 'uri': '/v1beta3/{name=projects/*}/locations', + }, +{ + 'method': 'get', + 'uri': '/uiv1beta3/{name=projects/*}/locations', + }, + ] + + request, metadata = self._interceptor.pre_list_locations(request, metadata) + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode( + http_options, **request_kwargs) + + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json.dumps(transcoded_request['query_params'])) + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params), + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + resp = locations_pb2.ListLocationsResponse() + resp = json_format.Parse(response.content.decode("utf-8"), resp) + resp = self._interceptor.post_list_locations(resp) + return resp + + @property + def cancel_operation(self): + return self._CancelOperation(self._session, self._host, self._interceptor) # type: ignore + + class _CancelOperation(DocumentProcessorServiceRestStub): + def __call__(self, + request: operations_pb2.CancelOperationRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> None: + + r"""Call the cancel operation method over HTTP. + + Args: + request (operations_pb2.CancelOperationRequest): + The request object for CancelOperation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'post', + 'uri': '/v1beta3/{name=projects/*/locations/*/operations/*}:cancel', + }, +{ + 'method': 'post', + 'uri': '/uiv1beta3/{name=projects/*/locations/*/operations/*}:cancel', + }, + ] + + request, metadata = self._interceptor.pre_cancel_operation(request, metadata) + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode( + http_options, **request_kwargs) + + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json.dumps(transcoded_request['query_params'])) + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params), + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + return self._interceptor.post_cancel_operation(None) + + @property + def get_operation(self): + return self._GetOperation(self._session, self._host, self._interceptor) # type: ignore + + class _GetOperation(DocumentProcessorServiceRestStub): + def __call__(self, + request: operations_pb2.GetOperationRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> operations_pb2.Operation: + + r"""Call the get operation method over HTTP. + + Args: + request (operations_pb2.GetOperationRequest): + The request object for GetOperation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + operations_pb2.Operation: Response from GetOperation method. + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'get', + 'uri': '/v1beta3/{name=projects/*/locations/*/operations/*}', + }, +{ + 'method': 'get', + 'uri': '/uiv1beta3/{name=projects/*/locations/*/operations/*}', + }, + ] + + request, metadata = self._interceptor.pre_get_operation(request, metadata) + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode( + http_options, **request_kwargs) + + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json.dumps(transcoded_request['query_params'])) + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params), + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + resp = operations_pb2.Operation() + resp = json_format.Parse(response.content.decode("utf-8"), resp) + resp = self._interceptor.post_get_operation(resp) + return resp + + @property + def list_operations(self): + return self._ListOperations(self._session, self._host, self._interceptor) # type: ignore + + class _ListOperations(DocumentProcessorServiceRestStub): + def __call__(self, + request: operations_pb2.ListOperationsRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> operations_pb2.ListOperationsResponse: + + r"""Call the list operations method over HTTP. + + Args: + request (operations_pb2.ListOperationsRequest): + The request object for ListOperations method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + operations_pb2.ListOperationsResponse: Response from ListOperations method. + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'get', + 'uri': '/v1beta3/{name=projects/*/locations/*/operations}', + }, +{ + 'method': 'get', + 'uri': '/uiv1beta3/{name=projects/*/locations/*/operations}', + }, + ] + + request, metadata = self._interceptor.pre_list_operations(request, metadata) + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode( + http_options, **request_kwargs) + + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json.dumps(transcoded_request['query_params'])) + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params), + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + resp = operations_pb2.ListOperationsResponse() + resp = json_format.Parse(response.content.decode("utf-8"), resp) + resp = self._interceptor.post_list_operations(resp) + return resp + + @property + def kind(self) -> str: + return "rest" + + def close(self): + self._session.close() + + +__all__=( + 'DocumentProcessorServiceRestTransport', +) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_service/__init__.py b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_service/__init__.py new file mode 100644 index 000000000000..729ba971afe2 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_service/__init__.py @@ -0,0 +1,22 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from .client import DocumentServiceClient +from .async_client import DocumentServiceAsyncClient + +__all__ = ( + 'DocumentServiceClient', + 'DocumentServiceAsyncClient', +) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_service/async_client.py b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_service/async_client.py new file mode 100644 index 000000000000..7766c9edd433 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_service/async_client.py @@ -0,0 +1,1337 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +import functools +import re +from typing import Dict, Mapping, MutableMapping, MutableSequence, Optional, Sequence, Tuple, Type, Union + +from google.cloud.documentai_v1beta3 import gapic_version as package_version + +from google.api_core.client_options import ClientOptions +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry_async as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore + +try: + OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.AsyncRetry, object, None] # type: ignore + +from google.api_core import operation # type: ignore +from google.api_core import operation_async # type: ignore +from google.cloud.documentai_v1beta3.services.document_service import pagers +from google.cloud.documentai_v1beta3.types import dataset +from google.cloud.documentai_v1beta3.types import dataset as gcd_dataset +from google.cloud.documentai_v1beta3.types import document +from google.cloud.documentai_v1beta3.types import document_schema +from google.cloud.documentai_v1beta3.types import document_service +from google.cloud.location import locations_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +from google.protobuf import field_mask_pb2 # type: ignore +from .transports.base import DocumentServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc_asyncio import DocumentServiceGrpcAsyncIOTransport +from .client import DocumentServiceClient + + +class DocumentServiceAsyncClient: + """Service to call Cloud DocumentAI to manage document + collection (dataset). + """ + + _client: DocumentServiceClient + + # Copy defaults from the synchronous client for use here. + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = DocumentServiceClient.DEFAULT_ENDPOINT + DEFAULT_MTLS_ENDPOINT = DocumentServiceClient.DEFAULT_MTLS_ENDPOINT + _DEFAULT_ENDPOINT_TEMPLATE = DocumentServiceClient._DEFAULT_ENDPOINT_TEMPLATE + _DEFAULT_UNIVERSE = DocumentServiceClient._DEFAULT_UNIVERSE + + dataset_path = staticmethod(DocumentServiceClient.dataset_path) + parse_dataset_path = staticmethod(DocumentServiceClient.parse_dataset_path) + dataset_schema_path = staticmethod(DocumentServiceClient.dataset_schema_path) + parse_dataset_schema_path = staticmethod(DocumentServiceClient.parse_dataset_schema_path) + schema_path = staticmethod(DocumentServiceClient.schema_path) + parse_schema_path = staticmethod(DocumentServiceClient.parse_schema_path) + common_billing_account_path = staticmethod(DocumentServiceClient.common_billing_account_path) + parse_common_billing_account_path = staticmethod(DocumentServiceClient.parse_common_billing_account_path) + common_folder_path = staticmethod(DocumentServiceClient.common_folder_path) + parse_common_folder_path = staticmethod(DocumentServiceClient.parse_common_folder_path) + common_organization_path = staticmethod(DocumentServiceClient.common_organization_path) + parse_common_organization_path = staticmethod(DocumentServiceClient.parse_common_organization_path) + common_project_path = staticmethod(DocumentServiceClient.common_project_path) + parse_common_project_path = staticmethod(DocumentServiceClient.parse_common_project_path) + common_location_path = staticmethod(DocumentServiceClient.common_location_path) + parse_common_location_path = staticmethod(DocumentServiceClient.parse_common_location_path) + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + DocumentServiceAsyncClient: The constructed client. + """ + return DocumentServiceClient.from_service_account_info.__func__(DocumentServiceAsyncClient, info, *args, **kwargs) # type: ignore + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + DocumentServiceAsyncClient: The constructed client. + """ + return DocumentServiceClient.from_service_account_file.__func__(DocumentServiceAsyncClient, filename, *args, **kwargs) # type: ignore + + from_service_account_json = from_service_account_file + + @classmethod + def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[ClientOptions] = None): + """Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + return DocumentServiceClient.get_mtls_endpoint_and_cert_source(client_options) # type: ignore + + @property + def transport(self) -> DocumentServiceTransport: + """Returns the transport used by the client instance. + + Returns: + DocumentServiceTransport: The transport used by the client instance. + """ + return self._client.transport + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._client._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used + by the client instance. + """ + return self._client._universe_domain + + get_transport_class = functools.partial(type(DocumentServiceClient).get_transport_class, type(DocumentServiceClient)) + + def __init__(self, *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Union[str, DocumentServiceTransport] = "grpc_asyncio", + client_options: Optional[ClientOptions] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the document service async client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Union[str, ~.DocumentServiceTransport]): The + transport to use. If set to None, a transport is chosen + automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client = DocumentServiceClient( + credentials=credentials, + transport=transport, + client_options=client_options, + client_info=client_info, + + ) + + async def update_dataset(self, + request: Optional[Union[document_service.UpdateDatasetRequest, dict]] = None, + *, + dataset: Optional[gcd_dataset.Dataset] = None, + update_mask: Optional[field_mask_pb2.FieldMask] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation_async.AsyncOperation: + r"""Updates metadata associated with a dataset. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + async def sample_update_dataset(): + # Create a client + client = documentai_v1beta3.DocumentServiceAsyncClient() + + # Initialize request argument(s) + dataset = documentai_v1beta3.Dataset() + dataset.state = "INITIALIZED" + + request = documentai_v1beta3.UpdateDatasetRequest( + dataset=dataset, + ) + + # Make the request + operation = client.update_dataset(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1beta3.types.UpdateDatasetRequest, dict]]): + The request object. + dataset (:class:`google.cloud.documentai_v1beta3.types.Dataset`): + Required. The ``name`` field of the ``Dataset`` is used + to identify the resource to be updated. + + This corresponds to the ``dataset`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`): + The update mask applies to the + resource. + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.documentai_v1beta3.types.Dataset` A singleton resource under a + [Processor][google.cloud.documentai.v1beta3.Processor] + which configures a collection of documents. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([dataset, update_mask]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = document_service.UpdateDatasetRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if dataset is not None: + request.dataset = dataset + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.update_dataset, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("dataset.name", request.dataset.name), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + gcd_dataset.Dataset, + metadata_type=document_service.UpdateDatasetOperationMetadata, + ) + + # Done; return the response. + return response + + async def import_documents(self, + request: Optional[Union[document_service.ImportDocumentsRequest, dict]] = None, + *, + dataset: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation_async.AsyncOperation: + r"""Import documents into a dataset. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + async def sample_import_documents(): + # Create a client + client = documentai_v1beta3.DocumentServiceAsyncClient() + + # Initialize request argument(s) + batch_documents_import_configs = documentai_v1beta3.BatchDocumentsImportConfig() + batch_documents_import_configs.dataset_split = "DATASET_SPLIT_UNASSIGNED" + + request = documentai_v1beta3.ImportDocumentsRequest( + dataset="dataset_value", + batch_documents_import_configs=batch_documents_import_configs, + ) + + # Make the request + operation = client.import_documents(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1beta3.types.ImportDocumentsRequest, dict]]): + The request object. + dataset (:class:`str`): + Required. The dataset resource name. + Format: + + projects/{project}/locations/{location}/processors/{processor}/dataset + + This corresponds to the ``dataset`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.documentai_v1beta3.types.ImportDocumentsResponse` + Response of the import document operation. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([dataset]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = document_service.ImportDocumentsRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if dataset is not None: + request.dataset = dataset + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.import_documents, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("dataset", request.dataset), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + document_service.ImportDocumentsResponse, + metadata_type=document_service.ImportDocumentsMetadata, + ) + + # Done; return the response. + return response + + async def get_document(self, + request: Optional[Union[document_service.GetDocumentRequest, dict]] = None, + *, + dataset: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> document_service.GetDocumentResponse: + r"""Returns relevant fields present in the requested + document. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + async def sample_get_document(): + # Create a client + client = documentai_v1beta3.DocumentServiceAsyncClient() + + # Initialize request argument(s) + document_id = documentai_v1beta3.DocumentId() + document_id.gcs_managed_doc_id.gcs_uri = "gcs_uri_value" + + request = documentai_v1beta3.GetDocumentRequest( + dataset="dataset_value", + document_id=document_id, + ) + + # Make the request + response = await client.get_document(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1beta3.types.GetDocumentRequest, dict]]): + The request object. + dataset (:class:`str`): + Required. The resource name of the + dataset that the document belongs to . + Format: + + projects/{project}/locations/{location}/processors/{processor}/dataset + + This corresponds to the ``dataset`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1beta3.types.GetDocumentResponse: + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([dataset]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = document_service.GetDocumentRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if dataset is not None: + request.dataset = dataset + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.get_document, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("dataset", request.dataset), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_documents(self, + request: Optional[Union[document_service.ListDocumentsRequest, dict]] = None, + *, + dataset: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> pagers.ListDocumentsAsyncPager: + r"""Returns a list of documents present in the dataset. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + async def sample_list_documents(): + # Create a client + client = documentai_v1beta3.DocumentServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1beta3.ListDocumentsRequest( + dataset="dataset_value", + ) + + # Make the request + page_result = client.list_documents(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1beta3.types.ListDocumentsRequest, dict]]): + The request object. + dataset (:class:`str`): + Required. The resource name of the + dataset to be listed. Format: + + projects/{project}/locations/{location}/processors/{processor}/dataset + + This corresponds to the ``dataset`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1beta3.services.document_service.pagers.ListDocumentsAsyncPager: + Iterating over this object will yield + results and resolve additional pages + automatically. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([dataset]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = document_service.ListDocumentsRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if dataset is not None: + request.dataset = dataset + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.list_documents, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("dataset", request.dataset), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListDocumentsAsyncPager( + method=rpc, + request=request, + response=response, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def batch_delete_documents(self, + request: Optional[Union[document_service.BatchDeleteDocumentsRequest, dict]] = None, + *, + dataset: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation_async.AsyncOperation: + r"""Deletes a set of documents. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + async def sample_batch_delete_documents(): + # Create a client + client = documentai_v1beta3.DocumentServiceAsyncClient() + + # Initialize request argument(s) + dataset_documents = documentai_v1beta3.BatchDatasetDocuments() + dataset_documents.individual_document_ids.document_ids.gcs_managed_doc_id.gcs_uri = "gcs_uri_value" + + request = documentai_v1beta3.BatchDeleteDocumentsRequest( + dataset="dataset_value", + dataset_documents=dataset_documents, + ) + + # Make the request + operation = client.batch_delete_documents(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1beta3.types.BatchDeleteDocumentsRequest, dict]]): + The request object. + dataset (:class:`str`): + Required. The dataset resource name. + Format: + + projects/{project}/locations/{location}/processors/{processor}/dataset + + This corresponds to the ``dataset`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.documentai_v1beta3.types.BatchDeleteDocumentsResponse` + Response of the delete documents operation. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([dataset]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = document_service.BatchDeleteDocumentsRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if dataset is not None: + request.dataset = dataset + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.batch_delete_documents, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("dataset", request.dataset), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + document_service.BatchDeleteDocumentsResponse, + metadata_type=document_service.BatchDeleteDocumentsMetadata, + ) + + # Done; return the response. + return response + + async def get_dataset_schema(self, + request: Optional[Union[document_service.GetDatasetSchemaRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> dataset.DatasetSchema: + r"""Gets the ``DatasetSchema`` of a ``Dataset``. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + async def sample_get_dataset_schema(): + # Create a client + client = documentai_v1beta3.DocumentServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1beta3.GetDatasetSchemaRequest( + name="name_value", + ) + + # Make the request + response = await client.get_dataset_schema(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1beta3.types.GetDatasetSchemaRequest, dict]]): + The request object. Request for ``GetDatasetSchema``. + name (:class:`str`): + Required. The dataset schema resource + name. Format: + + projects/{project}/locations/{location}/processors/{processor}/dataset/datasetSchema + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1beta3.types.DatasetSchema: + Dataset Schema. + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = document_service.GetDatasetSchemaRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.get_dataset_schema, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def update_dataset_schema(self, + request: Optional[Union[document_service.UpdateDatasetSchemaRequest, dict]] = None, + *, + dataset_schema: Optional[dataset.DatasetSchema] = None, + update_mask: Optional[field_mask_pb2.FieldMask] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> dataset.DatasetSchema: + r"""Updates a ``DatasetSchema``. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + async def sample_update_dataset_schema(): + # Create a client + client = documentai_v1beta3.DocumentServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1beta3.UpdateDatasetSchemaRequest( + ) + + # Make the request + response = await client.update_dataset_schema(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.documentai_v1beta3.types.UpdateDatasetSchemaRequest, dict]]): + The request object. Request for ``UpdateDatasetSchema``. + dataset_schema (:class:`google.cloud.documentai_v1beta3.types.DatasetSchema`): + Required. The name field of the ``DatasetSchema`` is + used to identify the resource to be updated. + + This corresponds to the ``dataset_schema`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`): + The update mask applies to the + resource. + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1beta3.types.DatasetSchema: + Dataset Schema. + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([dataset_schema, update_mask]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = document_service.UpdateDatasetSchemaRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if dataset_schema is not None: + request.dataset_schema = dataset_schema + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.update_dataset_schema, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("dataset_schema.name", request.dataset_schema.name), + )), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.list_operations, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, retry=retry, timeout=timeout, metadata=metadata,) + + # Done; return the response. + return response + + async def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.get_operation, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, retry=retry, timeout=timeout, metadata=metadata,) + + # Done; return the response. + return response + + async def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.cancel_operation, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc(request, retry=retry, timeout=timeout, metadata=metadata,) + + async def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.get_location, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, retry=retry, timeout=timeout, metadata=metadata,) + + # Done; return the response. + return response + + async def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.list_locations, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, retry=retry, timeout=timeout, metadata=metadata,) + + # Done; return the response. + return response + + async def __aenter__(self) -> "DocumentServiceAsyncClient": + return self + + async def __aexit__(self, exc_type, exc, tb): + await self.transport.close() + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(gapic_version=package_version.__version__) + + +__all__ = ( + "DocumentServiceAsyncClient", +) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_service/client.py b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_service/client.py new file mode 100644 index 000000000000..7f6f67b6f8a2 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_service/client.py @@ -0,0 +1,1702 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +import os +import re +from typing import Dict, Mapping, MutableMapping, MutableSequence, Optional, Sequence, Tuple, Type, Union, cast +import warnings + +from google.cloud.documentai_v1beta3 import gapic_version as package_version + +from google.api_core import client_options as client_options_lib +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport import mtls # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.auth.exceptions import MutualTLSChannelError # type: ignore +from google.oauth2 import service_account # type: ignore + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + +from google.api_core import operation # type: ignore +from google.api_core import operation_async # type: ignore +from google.cloud.documentai_v1beta3.services.document_service import pagers +from google.cloud.documentai_v1beta3.types import dataset +from google.cloud.documentai_v1beta3.types import dataset as gcd_dataset +from google.cloud.documentai_v1beta3.types import document +from google.cloud.documentai_v1beta3.types import document_schema +from google.cloud.documentai_v1beta3.types import document_service +from google.cloud.location import locations_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +from google.protobuf import field_mask_pb2 # type: ignore +from .transports.base import DocumentServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc import DocumentServiceGrpcTransport +from .transports.grpc_asyncio import DocumentServiceGrpcAsyncIOTransport +from .transports.rest import DocumentServiceRestTransport + + +class DocumentServiceClientMeta(type): + """Metaclass for the DocumentService client. + + This provides class-level methods for building and retrieving + support objects (e.g. transport) without polluting the client instance + objects. + """ + _transport_registry = OrderedDict() # type: Dict[str, Type[DocumentServiceTransport]] + _transport_registry["grpc"] = DocumentServiceGrpcTransport + _transport_registry["grpc_asyncio"] = DocumentServiceGrpcAsyncIOTransport + _transport_registry["rest"] = DocumentServiceRestTransport + + def get_transport_class(cls, + label: Optional[str] = None, + ) -> Type[DocumentServiceTransport]: + """Returns an appropriate transport class. + + Args: + label: The name of the desired transport. If none is + provided, then the first transport in the registry is used. + + Returns: + The transport class to use. + """ + # If a specific transport is requested, return that one. + if label: + return cls._transport_registry[label] + + # No transport is requested; return the default (that is, the first one + # in the dictionary). + return next(iter(cls._transport_registry.values())) + + +class DocumentServiceClient(metaclass=DocumentServiceClientMeta): + """Service to call Cloud DocumentAI to manage document + collection (dataset). + """ + + @staticmethod + def _get_default_mtls_endpoint(api_endpoint): + """Converts api endpoint to mTLS endpoint. + + Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to + "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively. + Args: + api_endpoint (Optional[str]): the api endpoint to convert. + Returns: + str: converted mTLS api endpoint. + """ + if not api_endpoint: + return api_endpoint + + mtls_endpoint_re = re.compile( + r"(?P[^.]+)(?P\.mtls)?(?P\.sandbox)?(?P\.googleapis\.com)?" + ) + + m = mtls_endpoint_re.match(api_endpoint) + name, mtls, sandbox, googledomain = m.groups() + if mtls or not googledomain: + return api_endpoint + + if sandbox: + return api_endpoint.replace( + "sandbox.googleapis.com", "mtls.sandbox.googleapis.com" + ) + + return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com") + + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = "documentai.googleapis.com" + DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__( # type: ignore + DEFAULT_ENDPOINT + ) + + _DEFAULT_ENDPOINT_TEMPLATE = "documentai.{UNIVERSE_DOMAIN}" + _DEFAULT_UNIVERSE = "googleapis.com" + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + DocumentServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_info(info) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + DocumentServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_file( + filename) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + from_service_account_json = from_service_account_file + + @property + def transport(self) -> DocumentServiceTransport: + """Returns the transport used by the client instance. + + Returns: + DocumentServiceTransport: The transport used by the client + instance. + """ + return self._transport + + @staticmethod + def dataset_path(project: str,location: str,processor: str,) -> str: + """Returns a fully-qualified dataset string.""" + return "projects/{project}/locations/{location}/processors/{processor}/dataset".format(project=project, location=location, processor=processor, ) + + @staticmethod + def parse_dataset_path(path: str) -> Dict[str,str]: + """Parses a dataset path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)/processors/(?P.+?)/dataset$", path) + return m.groupdict() if m else {} + + @staticmethod + def dataset_schema_path(project: str,location: str,processor: str,) -> str: + """Returns a fully-qualified dataset_schema string.""" + return "projects/{project}/locations/{location}/processors/{processor}/dataset/datasetSchema".format(project=project, location=location, processor=processor, ) + + @staticmethod + def parse_dataset_schema_path(path: str) -> Dict[str,str]: + """Parses a dataset_schema path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)/processors/(?P.+?)/dataset/datasetSchema$", path) + return m.groupdict() if m else {} + + @staticmethod + def schema_path(project: str,location: str,schema: str,) -> str: + """Returns a fully-qualified schema string.""" + return "projects/{project}/locations/{location}/schemas/{schema}".format(project=project, location=location, schema=schema, ) + + @staticmethod + def parse_schema_path(path: str) -> Dict[str,str]: + """Parses a schema path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)/schemas/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_billing_account_path(billing_account: str, ) -> str: + """Returns a fully-qualified billing_account string.""" + return "billingAccounts/{billing_account}".format(billing_account=billing_account, ) + + @staticmethod + def parse_common_billing_account_path(path: str) -> Dict[str,str]: + """Parse a billing_account path into its component segments.""" + m = re.match(r"^billingAccounts/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_folder_path(folder: str, ) -> str: + """Returns a fully-qualified folder string.""" + return "folders/{folder}".format(folder=folder, ) + + @staticmethod + def parse_common_folder_path(path: str) -> Dict[str,str]: + """Parse a folder path into its component segments.""" + m = re.match(r"^folders/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_organization_path(organization: str, ) -> str: + """Returns a fully-qualified organization string.""" + return "organizations/{organization}".format(organization=organization, ) + + @staticmethod + def parse_common_organization_path(path: str) -> Dict[str,str]: + """Parse a organization path into its component segments.""" + m = re.match(r"^organizations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_project_path(project: str, ) -> str: + """Returns a fully-qualified project string.""" + return "projects/{project}".format(project=project, ) + + @staticmethod + def parse_common_project_path(path: str) -> Dict[str,str]: + """Parse a project path into its component segments.""" + m = re.match(r"^projects/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_location_path(project: str, location: str, ) -> str: + """Returns a fully-qualified location string.""" + return "projects/{project}/locations/{location}".format(project=project, location=location, ) + + @staticmethod + def parse_common_location_path(path: str) -> Dict[str,str]: + """Parse a location path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @classmethod + def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[client_options_lib.ClientOptions] = None): + """Deprecated. Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + + warnings.warn("get_mtls_endpoint_and_cert_source is deprecated. Use the api_endpoint property instead.", + DeprecationWarning) + if client_options is None: + client_options = client_options_lib.ClientOptions() + use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false") + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto") + if use_client_cert not in ("true", "false"): + raise ValueError("Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError("Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`") + + # Figure out the client cert source to use. + client_cert_source = None + if use_client_cert == "true": + if client_options.client_cert_source: + client_cert_source = client_options.client_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + + # Figure out which api endpoint to use. + if client_options.api_endpoint is not None: + api_endpoint = client_options.api_endpoint + elif use_mtls_endpoint == "always" or (use_mtls_endpoint == "auto" and client_cert_source): + api_endpoint = cls.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = cls.DEFAULT_ENDPOINT + + return api_endpoint, client_cert_source + + @staticmethod + def _read_environment_variables(): + """Returns the environment variables used by the client. + + Returns: + Tuple[bool, str, str]: returns the GOOGLE_API_USE_CLIENT_CERTIFICATE, + GOOGLE_API_USE_MTLS_ENDPOINT, and GOOGLE_CLOUD_UNIVERSE_DOMAIN environment variables. + + Raises: + ValueError: If GOOGLE_API_USE_CLIENT_CERTIFICATE is not + any of ["true", "false"]. + google.auth.exceptions.MutualTLSChannelError: If GOOGLE_API_USE_MTLS_ENDPOINT + is not any of ["auto", "never", "always"]. + """ + use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false").lower() + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto").lower() + universe_domain_env = os.getenv("GOOGLE_CLOUD_UNIVERSE_DOMAIN") + if use_client_cert not in ("true", "false"): + raise ValueError("Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError("Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`") + return use_client_cert == "true", use_mtls_endpoint, universe_domain_env + + @staticmethod + def _get_client_cert_source(provided_cert_source, use_cert_flag): + """Return the client cert source to be used by the client. + + Args: + provided_cert_source (bytes): The client certificate source provided. + use_cert_flag (bool): A flag indicating whether to use the client certificate. + + Returns: + bytes or None: The client cert source to be used by the client. + """ + client_cert_source = None + if use_cert_flag: + if provided_cert_source: + client_cert_source = provided_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + return client_cert_source + + @staticmethod + def _get_api_endpoint(api_override, client_cert_source, universe_domain, use_mtls_endpoint): + """Return the API endpoint used by the client. + + Args: + api_override (str): The API endpoint override. If specified, this is always + the return value of this function and the other arguments are not used. + client_cert_source (bytes): The client certificate source used by the client. + universe_domain (str): The universe domain used by the client. + use_mtls_endpoint (str): How to use the mTLS endpoint, which depends also on the other parameters. + Possible values are "always", "auto", or "never". + + Returns: + str: The API endpoint to be used by the client. + """ + if api_override is not None: + api_endpoint = api_override + elif use_mtls_endpoint == "always" or (use_mtls_endpoint == "auto" and client_cert_source): + _default_universe = DocumentServiceClient._DEFAULT_UNIVERSE + if universe_domain != _default_universe: + raise MutualTLSChannelError(f"mTLS is not supported in any universe other than {_default_universe}.") + api_endpoint = DocumentServiceClient.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = DocumentServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=universe_domain) + return api_endpoint + + @staticmethod + def _get_universe_domain(client_universe_domain: Optional[str], universe_domain_env: Optional[str]) -> str: + """Return the universe domain used by the client. + + Args: + client_universe_domain (Optional[str]): The universe domain configured via the client options. + universe_domain_env (Optional[str]): The universe domain configured via the "GOOGLE_CLOUD_UNIVERSE_DOMAIN" environment variable. + + Returns: + str: The universe domain to be used by the client. + + Raises: + ValueError: If the universe domain is an empty string. + """ + universe_domain = DocumentServiceClient._DEFAULT_UNIVERSE + if client_universe_domain is not None: + universe_domain = client_universe_domain + elif universe_domain_env is not None: + universe_domain = universe_domain_env + if len(universe_domain.strip()) == 0: + raise ValueError("Universe Domain cannot be an empty string.") + return universe_domain + + @staticmethod + def _compare_universes(client_universe: str, + credentials: ga_credentials.Credentials) -> bool: + """Returns True iff the universe domains used by the client and credentials match. + + Args: + client_universe (str): The universe domain configured via the client options. + credentials (ga_credentials.Credentials): The credentials being used in the client. + + Returns: + bool: True iff client_universe matches the universe in credentials. + + Raises: + ValueError: when client_universe does not match the universe in credentials. + """ + + default_universe = DocumentServiceClient._DEFAULT_UNIVERSE + credentials_universe = getattr(credentials, "universe_domain", default_universe) + + if client_universe != credentials_universe: + raise ValueError("The configured universe domain " + f"({client_universe}) does not match the universe domain " + f"found in the credentials ({credentials_universe}). " + "If you haven't configured the universe domain explicitly, " + f"`{default_universe}` is the default.") + return True + + def _validate_universe_domain(self): + """Validates client's and credentials' universe domains are consistent. + + Returns: + bool: True iff the configured universe domain is valid. + + Raises: + ValueError: If the configured universe domain is not valid. + """ + self._is_universe_domain_valid = (self._is_universe_domain_valid or + DocumentServiceClient._compare_universes(self.universe_domain, self.transport._credentials)) + return self._is_universe_domain_valid + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used by the client instance. + """ + return self._universe_domain + + def __init__(self, *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[Union[str, DocumentServiceTransport]] = None, + client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the document service client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Union[str, DocumentServiceTransport]): The + transport to use. If set to None, a transport is chosen + automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that the ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client_options = client_options + if isinstance(self._client_options, dict): + self._client_options = client_options_lib.from_dict(self._client_options) + if self._client_options is None: + self._client_options = client_options_lib.ClientOptions() + self._client_options = cast(client_options_lib.ClientOptions, self._client_options) + + universe_domain_opt = getattr(self._client_options, 'universe_domain', None) + + self._use_client_cert, self._use_mtls_endpoint, self._universe_domain_env = DocumentServiceClient._read_environment_variables() + self._client_cert_source = DocumentServiceClient._get_client_cert_source(self._client_options.client_cert_source, self._use_client_cert) + self._universe_domain = DocumentServiceClient._get_universe_domain(universe_domain_opt, self._universe_domain_env) + self._api_endpoint = None # updated below, depending on `transport` + + # Initialize the universe domain validation. + self._is_universe_domain_valid = False + + api_key_value = getattr(self._client_options, "api_key", None) + if api_key_value and credentials: + raise ValueError("client_options.api_key and credentials are mutually exclusive") + + # Save or instantiate the transport. + # Ordinarily, we provide the transport, but allowing a custom transport + # instance provides an extensibility point for unusual situations. + transport_provided = isinstance(transport, DocumentServiceTransport) + if transport_provided: + # transport is a DocumentServiceTransport instance. + if credentials or self._client_options.credentials_file or api_key_value: + raise ValueError("When providing a transport instance, " + "provide its credentials directly.") + if self._client_options.scopes: + raise ValueError( + "When providing a transport instance, provide its scopes " + "directly." + ) + self._transport = cast(DocumentServiceTransport, transport) + self._api_endpoint = self._transport.host + + self._api_endpoint = (self._api_endpoint or + DocumentServiceClient._get_api_endpoint( + self._client_options.api_endpoint, + self._client_cert_source, + self._universe_domain, + self._use_mtls_endpoint)) + + if not transport_provided: + import google.auth._default # type: ignore + + if api_key_value and hasattr(google.auth._default, "get_api_key_credentials"): + credentials = google.auth._default.get_api_key_credentials(api_key_value) + + Transport = type(self).get_transport_class(cast(str, transport)) + self._transport = Transport( + credentials=credentials, + credentials_file=self._client_options.credentials_file, + host=self._api_endpoint, + scopes=self._client_options.scopes, + client_cert_source_for_mtls=self._client_cert_source, + quota_project_id=self._client_options.quota_project_id, + client_info=client_info, + always_use_jwt_access=True, + api_audience=self._client_options.api_audience, + ) + + def update_dataset(self, + request: Optional[Union[document_service.UpdateDatasetRequest, dict]] = None, + *, + dataset: Optional[gcd_dataset.Dataset] = None, + update_mask: Optional[field_mask_pb2.FieldMask] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation.Operation: + r"""Updates metadata associated with a dataset. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + def sample_update_dataset(): + # Create a client + client = documentai_v1beta3.DocumentServiceClient() + + # Initialize request argument(s) + dataset = documentai_v1beta3.Dataset() + dataset.state = "INITIALIZED" + + request = documentai_v1beta3.UpdateDatasetRequest( + dataset=dataset, + ) + + # Make the request + operation = client.update_dataset(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.documentai_v1beta3.types.UpdateDatasetRequest, dict]): + The request object. + dataset (google.cloud.documentai_v1beta3.types.Dataset): + Required. The ``name`` field of the ``Dataset`` is used + to identify the resource to be updated. + + This corresponds to the ``dataset`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (google.protobuf.field_mask_pb2.FieldMask): + The update mask applies to the + resource. + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.documentai_v1beta3.types.Dataset` A singleton resource under a + [Processor][google.cloud.documentai.v1beta3.Processor] + which configures a collection of documents. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([dataset, update_mask]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a document_service.UpdateDatasetRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_service.UpdateDatasetRequest): + request = document_service.UpdateDatasetRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if dataset is not None: + request.dataset = dataset + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.update_dataset] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("dataset.name", request.dataset.name), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + gcd_dataset.Dataset, + metadata_type=document_service.UpdateDatasetOperationMetadata, + ) + + # Done; return the response. + return response + + def import_documents(self, + request: Optional[Union[document_service.ImportDocumentsRequest, dict]] = None, + *, + dataset: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation.Operation: + r"""Import documents into a dataset. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + def sample_import_documents(): + # Create a client + client = documentai_v1beta3.DocumentServiceClient() + + # Initialize request argument(s) + batch_documents_import_configs = documentai_v1beta3.BatchDocumentsImportConfig() + batch_documents_import_configs.dataset_split = "DATASET_SPLIT_UNASSIGNED" + + request = documentai_v1beta3.ImportDocumentsRequest( + dataset="dataset_value", + batch_documents_import_configs=batch_documents_import_configs, + ) + + # Make the request + operation = client.import_documents(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.documentai_v1beta3.types.ImportDocumentsRequest, dict]): + The request object. + dataset (str): + Required. The dataset resource name. + Format: + + projects/{project}/locations/{location}/processors/{processor}/dataset + + This corresponds to the ``dataset`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.documentai_v1beta3.types.ImportDocumentsResponse` + Response of the import document operation. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([dataset]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a document_service.ImportDocumentsRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_service.ImportDocumentsRequest): + request = document_service.ImportDocumentsRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if dataset is not None: + request.dataset = dataset + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.import_documents] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("dataset", request.dataset), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + document_service.ImportDocumentsResponse, + metadata_type=document_service.ImportDocumentsMetadata, + ) + + # Done; return the response. + return response + + def get_document(self, + request: Optional[Union[document_service.GetDocumentRequest, dict]] = None, + *, + dataset: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> document_service.GetDocumentResponse: + r"""Returns relevant fields present in the requested + document. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + def sample_get_document(): + # Create a client + client = documentai_v1beta3.DocumentServiceClient() + + # Initialize request argument(s) + document_id = documentai_v1beta3.DocumentId() + document_id.gcs_managed_doc_id.gcs_uri = "gcs_uri_value" + + request = documentai_v1beta3.GetDocumentRequest( + dataset="dataset_value", + document_id=document_id, + ) + + # Make the request + response = client.get_document(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.documentai_v1beta3.types.GetDocumentRequest, dict]): + The request object. + dataset (str): + Required. The resource name of the + dataset that the document belongs to . + Format: + + projects/{project}/locations/{location}/processors/{processor}/dataset + + This corresponds to the ``dataset`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1beta3.types.GetDocumentResponse: + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([dataset]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a document_service.GetDocumentRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_service.GetDocumentRequest): + request = document_service.GetDocumentRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if dataset is not None: + request.dataset = dataset + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_document] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("dataset", request.dataset), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def list_documents(self, + request: Optional[Union[document_service.ListDocumentsRequest, dict]] = None, + *, + dataset: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> pagers.ListDocumentsPager: + r"""Returns a list of documents present in the dataset. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + def sample_list_documents(): + # Create a client + client = documentai_v1beta3.DocumentServiceClient() + + # Initialize request argument(s) + request = documentai_v1beta3.ListDocumentsRequest( + dataset="dataset_value", + ) + + # Make the request + page_result = client.list_documents(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.documentai_v1beta3.types.ListDocumentsRequest, dict]): + The request object. + dataset (str): + Required. The resource name of the + dataset to be listed. Format: + + projects/{project}/locations/{location}/processors/{processor}/dataset + + This corresponds to the ``dataset`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1beta3.services.document_service.pagers.ListDocumentsPager: + Iterating over this object will yield + results and resolve additional pages + automatically. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([dataset]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a document_service.ListDocumentsRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_service.ListDocumentsRequest): + request = document_service.ListDocumentsRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if dataset is not None: + request.dataset = dataset + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_documents] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("dataset", request.dataset), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListDocumentsPager( + method=rpc, + request=request, + response=response, + metadata=metadata, + ) + + # Done; return the response. + return response + + def batch_delete_documents(self, + request: Optional[Union[document_service.BatchDeleteDocumentsRequest, dict]] = None, + *, + dataset: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation.Operation: + r"""Deletes a set of documents. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + def sample_batch_delete_documents(): + # Create a client + client = documentai_v1beta3.DocumentServiceClient() + + # Initialize request argument(s) + dataset_documents = documentai_v1beta3.BatchDatasetDocuments() + dataset_documents.individual_document_ids.document_ids.gcs_managed_doc_id.gcs_uri = "gcs_uri_value" + + request = documentai_v1beta3.BatchDeleteDocumentsRequest( + dataset="dataset_value", + dataset_documents=dataset_documents, + ) + + # Make the request + operation = client.batch_delete_documents(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.documentai_v1beta3.types.BatchDeleteDocumentsRequest, dict]): + The request object. + dataset (str): + Required. The dataset resource name. + Format: + + projects/{project}/locations/{location}/processors/{processor}/dataset + + This corresponds to the ``dataset`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.documentai_v1beta3.types.BatchDeleteDocumentsResponse` + Response of the delete documents operation. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([dataset]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a document_service.BatchDeleteDocumentsRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_service.BatchDeleteDocumentsRequest): + request = document_service.BatchDeleteDocumentsRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if dataset is not None: + request.dataset = dataset + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.batch_delete_documents] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("dataset", request.dataset), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + document_service.BatchDeleteDocumentsResponse, + metadata_type=document_service.BatchDeleteDocumentsMetadata, + ) + + # Done; return the response. + return response + + def get_dataset_schema(self, + request: Optional[Union[document_service.GetDatasetSchemaRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> dataset.DatasetSchema: + r"""Gets the ``DatasetSchema`` of a ``Dataset``. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + def sample_get_dataset_schema(): + # Create a client + client = documentai_v1beta3.DocumentServiceClient() + + # Initialize request argument(s) + request = documentai_v1beta3.GetDatasetSchemaRequest( + name="name_value", + ) + + # Make the request + response = client.get_dataset_schema(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.documentai_v1beta3.types.GetDatasetSchemaRequest, dict]): + The request object. Request for ``GetDatasetSchema``. + name (str): + Required. The dataset schema resource + name. Format: + + projects/{project}/locations/{location}/processors/{processor}/dataset/datasetSchema + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1beta3.types.DatasetSchema: + Dataset Schema. + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a document_service.GetDatasetSchemaRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_service.GetDatasetSchemaRequest): + request = document_service.GetDatasetSchemaRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_dataset_schema] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def update_dataset_schema(self, + request: Optional[Union[document_service.UpdateDatasetSchemaRequest, dict]] = None, + *, + dataset_schema: Optional[dataset.DatasetSchema] = None, + update_mask: Optional[field_mask_pb2.FieldMask] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> dataset.DatasetSchema: + r"""Updates a ``DatasetSchema``. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import documentai_v1beta3 + + def sample_update_dataset_schema(): + # Create a client + client = documentai_v1beta3.DocumentServiceClient() + + # Initialize request argument(s) + request = documentai_v1beta3.UpdateDatasetSchemaRequest( + ) + + # Make the request + response = client.update_dataset_schema(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.documentai_v1beta3.types.UpdateDatasetSchemaRequest, dict]): + The request object. Request for ``UpdateDatasetSchema``. + dataset_schema (google.cloud.documentai_v1beta3.types.DatasetSchema): + Required. The name field of the ``DatasetSchema`` is + used to identify the resource to be updated. + + This corresponds to the ``dataset_schema`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (google.protobuf.field_mask_pb2.FieldMask): + The update mask applies to the + resource. + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.documentai_v1beta3.types.DatasetSchema: + Dataset Schema. + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([dataset_schema, update_mask]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a document_service.UpdateDatasetSchemaRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, document_service.UpdateDatasetSchemaRequest): + request = document_service.UpdateDatasetSchemaRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if dataset_schema is not None: + request.dataset_schema = dataset_schema + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.update_dataset_schema] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("dataset_schema.name", request.dataset_schema.name), + )), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def __enter__(self) -> "DocumentServiceClient": + return self + + def __exit__(self, type, value, traceback): + """Releases underlying transport's resources. + + .. warning:: + ONLY use as a context manager if the transport is NOT shared + with other clients! Exiting the with block will CLOSE the transport + and may cause errors in other clients! + """ + self.transport.close() + + def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method.wrap_method( + self._transport.list_operations, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, retry=retry, timeout=timeout, metadata=metadata,) + + # Done; return the response. + return response + + def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method.wrap_method( + self._transport.get_operation, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, retry=retry, timeout=timeout, metadata=metadata,) + + # Done; return the response. + return response + + def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method.wrap_method( + self._transport.cancel_operation, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc(request, retry=retry, timeout=timeout, metadata=metadata,) + + def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method.wrap_method( + self._transport.get_location, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, retry=retry, timeout=timeout, metadata=metadata,) + + # Done; return the response. + return response + + def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, str]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method.wrap_method( + self._transport.list_locations, + default_timeout=None, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, retry=retry, timeout=timeout, metadata=metadata,) + + # Done; return the response. + return response + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(gapic_version=package_version.__version__) + + +__all__ = ( + "DocumentServiceClient", +) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_service/pagers.py b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_service/pagers.py new file mode 100644 index 000000000000..6f2117376f12 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_service/pagers.py @@ -0,0 +1,139 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from typing import Any, AsyncIterator, Awaitable, Callable, Sequence, Tuple, Optional, Iterator + +from google.cloud.documentai_v1beta3.types import document_service + + +class ListDocumentsPager: + """A pager for iterating through ``list_documents`` requests. + + This class thinly wraps an initial + :class:`google.cloud.documentai_v1beta3.types.ListDocumentsResponse` object, and + provides an ``__iter__`` method to iterate through its + ``document_metadata`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListDocuments`` requests and continue to iterate + through the ``document_metadata`` field on the + corresponding responses. + + All the usual :class:`google.cloud.documentai_v1beta3.types.ListDocumentsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + def __init__(self, + method: Callable[..., document_service.ListDocumentsResponse], + request: document_service.ListDocumentsRequest, + response: document_service.ListDocumentsResponse, + *, + metadata: Sequence[Tuple[str, str]] = ()): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.documentai_v1beta3.types.ListDocumentsRequest): + The initial request object. + response (google.cloud.documentai_v1beta3.types.ListDocumentsResponse): + The initial response object. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + """ + self._method = method + self._request = document_service.ListDocumentsRequest(request) + self._response = response + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[document_service.ListDocumentsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method(self._request, metadata=self._metadata) + yield self._response + + def __iter__(self) -> Iterator[document_service.DocumentMetadata]: + for page in self.pages: + yield from page.document_metadata + + def __repr__(self) -> str: + return '{0}<{1!r}>'.format(self.__class__.__name__, self._response) + + +class ListDocumentsAsyncPager: + """A pager for iterating through ``list_documents`` requests. + + This class thinly wraps an initial + :class:`google.cloud.documentai_v1beta3.types.ListDocumentsResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``document_metadata`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListDocuments`` requests and continue to iterate + through the ``document_metadata`` field on the + corresponding responses. + + All the usual :class:`google.cloud.documentai_v1beta3.types.ListDocumentsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + def __init__(self, + method: Callable[..., Awaitable[document_service.ListDocumentsResponse]], + request: document_service.ListDocumentsRequest, + response: document_service.ListDocumentsResponse, + *, + metadata: Sequence[Tuple[str, str]] = ()): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.documentai_v1beta3.types.ListDocumentsRequest): + The initial request object. + response (google.cloud.documentai_v1beta3.types.ListDocumentsResponse): + The initial response object. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + """ + self._method = method + self._request = document_service.ListDocumentsRequest(request) + self._response = response + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages(self) -> AsyncIterator[document_service.ListDocumentsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method(self._request, metadata=self._metadata) + yield self._response + def __aiter__(self) -> AsyncIterator[document_service.DocumentMetadata]: + async def async_generator(): + async for page in self.pages: + for response in page.document_metadata: + yield response + + return async_generator() + + def __repr__(self) -> str: + return '{0}<{1!r}>'.format(self.__class__.__name__, self._response) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_service/transports/__init__.py b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_service/transports/__init__.py new file mode 100644 index 000000000000..7412085409de --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_service/transports/__init__.py @@ -0,0 +1,38 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +from typing import Dict, Type + +from .base import DocumentServiceTransport +from .grpc import DocumentServiceGrpcTransport +from .grpc_asyncio import DocumentServiceGrpcAsyncIOTransport +from .rest import DocumentServiceRestTransport +from .rest import DocumentServiceRestInterceptor + + +# Compile a registry of transports. +_transport_registry = OrderedDict() # type: Dict[str, Type[DocumentServiceTransport]] +_transport_registry['grpc'] = DocumentServiceGrpcTransport +_transport_registry['grpc_asyncio'] = DocumentServiceGrpcAsyncIOTransport +_transport_registry['rest'] = DocumentServiceRestTransport + +__all__ = ( + 'DocumentServiceTransport', + 'DocumentServiceGrpcTransport', + 'DocumentServiceGrpcAsyncIOTransport', + 'DocumentServiceRestTransport', + 'DocumentServiceRestInterceptor', +) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_service/transports/base.py b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_service/transports/base.py new file mode 100644 index 000000000000..ada1705fa09c --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_service/transports/base.py @@ -0,0 +1,288 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import abc +from typing import Awaitable, Callable, Dict, Optional, Sequence, Union + +from google.cloud.documentai_v1beta3 import gapic_version as package_version + +import google.auth # type: ignore +import google.api_core +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.api_core import operations_v1 +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore + +from google.cloud.documentai_v1beta3.types import dataset +from google.cloud.documentai_v1beta3.types import document_service +from google.cloud.location import locations_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(gapic_version=package_version.__version__) + + +class DocumentServiceTransport(abc.ABC): + """Abstract transport class for DocumentService.""" + + AUTH_SCOPES = ( + 'https://www.googleapis.com/auth/cloud-platform', + ) + + DEFAULT_HOST: str = 'documentai.googleapis.com' + def __init__( + self, *, + host: str = DEFAULT_HOST, + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + **kwargs, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'documentai.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + credentials_file (Optional[str]): A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is mutually exclusive with credentials. + scopes (Optional[Sequence[str]]): A list of scopes. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + """ + + scopes_kwargs = {"scopes": scopes, "default_scopes": self.AUTH_SCOPES} + + # Save the scopes. + self._scopes = scopes + + # If no credentials are provided, then determine the appropriate + # defaults. + if credentials and credentials_file: + raise core_exceptions.DuplicateCredentialArgs("'credentials_file' and 'credentials' are mutually exclusive") + + if credentials_file is not None: + credentials, _ = google.auth.load_credentials_from_file( + credentials_file, + **scopes_kwargs, + quota_project_id=quota_project_id + ) + elif credentials is None: + credentials, _ = google.auth.default(**scopes_kwargs, quota_project_id=quota_project_id) + # Don't apply audience if the credentials file passed from user. + if hasattr(credentials, "with_gdch_audience"): + credentials = credentials.with_gdch_audience(api_audience if api_audience else host) + + # If the credentials are service account credentials, then always try to use self signed JWT. + if always_use_jwt_access and isinstance(credentials, service_account.Credentials) and hasattr(service_account.Credentials, "with_always_use_jwt_access"): + credentials = credentials.with_always_use_jwt_access(True) + + # Save the credentials. + self._credentials = credentials + + # Save the hostname. Default to port 443 (HTTPS) if none is specified. + if ':' not in host: + host += ':443' + self._host = host + + @property + def host(self): + return self._host + + def _prep_wrapped_messages(self, client_info): + # Precompute the wrapped methods. + self._wrapped_methods = { + self.update_dataset: gapic_v1.method.wrap_method( + self.update_dataset, + default_timeout=None, + client_info=client_info, + ), + self.import_documents: gapic_v1.method.wrap_method( + self.import_documents, + default_timeout=None, + client_info=client_info, + ), + self.get_document: gapic_v1.method.wrap_method( + self.get_document, + default_timeout=None, + client_info=client_info, + ), + self.list_documents: gapic_v1.method.wrap_method( + self.list_documents, + default_timeout=None, + client_info=client_info, + ), + self.batch_delete_documents: gapic_v1.method.wrap_method( + self.batch_delete_documents, + default_timeout=None, + client_info=client_info, + ), + self.get_dataset_schema: gapic_v1.method.wrap_method( + self.get_dataset_schema, + default_timeout=None, + client_info=client_info, + ), + self.update_dataset_schema: gapic_v1.method.wrap_method( + self.update_dataset_schema, + default_timeout=None, + client_info=client_info, + ), + } + + def close(self): + """Closes resources associated with the transport. + + .. warning:: + Only call this method if the transport is NOT shared + with other clients - this may cause errors in other clients! + """ + raise NotImplementedError() + + @property + def operations_client(self): + """Return the client designed to process long-running operations.""" + raise NotImplementedError() + + @property + def update_dataset(self) -> Callable[ + [document_service.UpdateDatasetRequest], + Union[ + operations_pb2.Operation, + Awaitable[operations_pb2.Operation] + ]]: + raise NotImplementedError() + + @property + def import_documents(self) -> Callable[ + [document_service.ImportDocumentsRequest], + Union[ + operations_pb2.Operation, + Awaitable[operations_pb2.Operation] + ]]: + raise NotImplementedError() + + @property + def get_document(self) -> Callable[ + [document_service.GetDocumentRequest], + Union[ + document_service.GetDocumentResponse, + Awaitable[document_service.GetDocumentResponse] + ]]: + raise NotImplementedError() + + @property + def list_documents(self) -> Callable[ + [document_service.ListDocumentsRequest], + Union[ + document_service.ListDocumentsResponse, + Awaitable[document_service.ListDocumentsResponse] + ]]: + raise NotImplementedError() + + @property + def batch_delete_documents(self) -> Callable[ + [document_service.BatchDeleteDocumentsRequest], + Union[ + operations_pb2.Operation, + Awaitable[operations_pb2.Operation] + ]]: + raise NotImplementedError() + + @property + def get_dataset_schema(self) -> Callable[ + [document_service.GetDatasetSchemaRequest], + Union[ + dataset.DatasetSchema, + Awaitable[dataset.DatasetSchema] + ]]: + raise NotImplementedError() + + @property + def update_dataset_schema(self) -> Callable[ + [document_service.UpdateDatasetSchemaRequest], + Union[ + dataset.DatasetSchema, + Awaitable[dataset.DatasetSchema] + ]]: + raise NotImplementedError() + + @property + def list_operations( + self, + ) -> Callable[ + [operations_pb2.ListOperationsRequest], + Union[operations_pb2.ListOperationsResponse, Awaitable[operations_pb2.ListOperationsResponse]], + ]: + raise NotImplementedError() + + @property + def get_operation( + self, + ) -> Callable[ + [operations_pb2.GetOperationRequest], + Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]], + ]: + raise NotImplementedError() + + @property + def cancel_operation( + self, + ) -> Callable[ + [operations_pb2.CancelOperationRequest], + None, + ]: + raise NotImplementedError() + + @property + def get_location(self, + ) -> Callable[ + [locations_pb2.GetLocationRequest], + Union[locations_pb2.Location, Awaitable[locations_pb2.Location]], + ]: + raise NotImplementedError() + + @property + def list_locations(self, + ) -> Callable[ + [locations_pb2.ListLocationsRequest], + Union[locations_pb2.ListLocationsResponse, Awaitable[locations_pb2.ListLocationsResponse]], + ]: + raise NotImplementedError() + + @property + def kind(self) -> str: + raise NotImplementedError() + + +__all__ = ( + 'DocumentServiceTransport', +) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_service/transports/grpc.py b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_service/transports/grpc.py new file mode 100644 index 000000000000..95edc3f6b0bb --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_service/transports/grpc.py @@ -0,0 +1,533 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import warnings +from typing import Callable, Dict, Optional, Sequence, Tuple, Union + +from google.api_core import grpc_helpers +from google.api_core import operations_v1 +from google.api_core import gapic_v1 +import google.auth # type: ignore +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore + +import grpc # type: ignore + +from google.cloud.documentai_v1beta3.types import dataset +from google.cloud.documentai_v1beta3.types import document_service +from google.cloud.location import locations_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +from .base import DocumentServiceTransport, DEFAULT_CLIENT_INFO + + +class DocumentServiceGrpcTransport(DocumentServiceTransport): + """gRPC backend transport for DocumentService. + + Service to call Cloud DocumentAI to manage document + collection (dataset). + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends protocol buffers over the wire using gRPC (which is built on + top of HTTP/2); the ``grpcio`` package must be installed. + """ + _stubs: Dict[str, Callable] + + def __init__(self, *, + host: str = 'documentai.googleapis.com', + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + channel: Optional[grpc.Channel] = None, + api_mtls_endpoint: Optional[str] = None, + client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None, + client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'documentai.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + This argument is ignored if ``channel`` is provided. + credentials_file (Optional[str]): A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if ``channel`` is provided. + scopes (Optional(Sequence[str])): A list of scopes. This argument is + ignored if ``channel`` is provided. + channel (Optional[grpc.Channel]): A ``Channel`` instance through + which to make calls. + api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint. + If provided, it overrides the ``host`` argument and tries to create + a mutual TLS channel with client SSL credentials from + ``client_cert_source`` or application default SSL credentials. + client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]): + Deprecated. A callback to provide client SSL certificate bytes and + private key bytes, both in PEM format. It is ignored if + ``api_mtls_endpoint`` is None. + ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials + for the grpc channel. It is ignored if ``channel`` is provided. + client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]): + A callback to provide client certificate bytes and private key bytes, + both in PEM format. It is used to configure a mutual TLS channel. It is + ignored if ``channel`` or ``ssl_channel_credentials`` is provided. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport + creation failed for any reason. + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + self._grpc_channel = None + self._ssl_channel_credentials = ssl_channel_credentials + self._stubs: Dict[str, Callable] = {} + self._operations_client: Optional[operations_v1.OperationsClient] = None + + if api_mtls_endpoint: + warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning) + if client_cert_source: + warnings.warn("client_cert_source is deprecated", DeprecationWarning) + + if channel: + # Ignore credentials if a channel was passed. + credentials = False + # If a channel was explicitly provided, set it. + self._grpc_channel = channel + self._ssl_channel_credentials = None + + else: + if api_mtls_endpoint: + host = api_mtls_endpoint + + # Create SSL credentials with client_cert_source or application + # default SSL credentials. + if client_cert_source: + cert, key = client_cert_source() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + else: + self._ssl_channel_credentials = SslCredentials().ssl_credentials + + else: + if client_cert_source_for_mtls and not ssl_channel_credentials: + cert, key = client_cert_source_for_mtls() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + + # The base transport sets the host, credentials and scopes + super().__init__( + host=host, + credentials=credentials, + credentials_file=credentials_file, + scopes=scopes, + quota_project_id=quota_project_id, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience, + ) + + if not self._grpc_channel: + self._grpc_channel = type(self).create_channel( + self._host, + # use the credentials which are saved + credentials=self._credentials, + # Set ``credentials_file`` to ``None`` here as + # the credentials that we saved earlier should be used. + credentials_file=None, + scopes=self._scopes, + ssl_credentials=self._ssl_channel_credentials, + quota_project_id=quota_project_id, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + # Wrap messages. This must be done after self._grpc_channel exists + self._prep_wrapped_messages(client_info) + + @classmethod + def create_channel(cls, + host: str = 'documentai.googleapis.com', + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + **kwargs) -> grpc.Channel: + """Create and return a gRPC channel object. + Args: + host (Optional[str]): The host for the channel to use. + credentials (Optional[~.Credentials]): The + authorization credentials to attach to requests. These + credentials identify this application to the service. If + none are specified, the client will attempt to ascertain + the credentials from the environment. + credentials_file (Optional[str]): A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is mutually exclusive with credentials. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + kwargs (Optional[dict]): Keyword arguments, which are passed to the + channel creation. + Returns: + grpc.Channel: A gRPC channel object. + + Raises: + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + + return grpc_helpers.create_channel( + host, + credentials=credentials, + credentials_file=credentials_file, + quota_project_id=quota_project_id, + default_scopes=cls.AUTH_SCOPES, + scopes=scopes, + default_host=cls.DEFAULT_HOST, + **kwargs + ) + + @property + def grpc_channel(self) -> grpc.Channel: + """Return the channel designed to connect to this service. + """ + return self._grpc_channel + + @property + def operations_client(self) -> operations_v1.OperationsClient: + """Create the client designed to process long-running operations. + + This property caches on the instance; repeated calls return the same + client. + """ + # Quick check: Only create a new client if we do not already have one. + if self._operations_client is None: + self._operations_client = operations_v1.OperationsClient( + self.grpc_channel + ) + + # Return the client from cache. + return self._operations_client + + @property + def update_dataset(self) -> Callable[ + [document_service.UpdateDatasetRequest], + operations_pb2.Operation]: + r"""Return a callable for the update dataset method over gRPC. + + Updates metadata associated with a dataset. + + Returns: + Callable[[~.UpdateDatasetRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'update_dataset' not in self._stubs: + self._stubs['update_dataset'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentService/UpdateDataset', + request_serializer=document_service.UpdateDatasetRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['update_dataset'] + + @property + def import_documents(self) -> Callable[ + [document_service.ImportDocumentsRequest], + operations_pb2.Operation]: + r"""Return a callable for the import documents method over gRPC. + + Import documents into a dataset. + + Returns: + Callable[[~.ImportDocumentsRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'import_documents' not in self._stubs: + self._stubs['import_documents'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentService/ImportDocuments', + request_serializer=document_service.ImportDocumentsRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['import_documents'] + + @property + def get_document(self) -> Callable[ + [document_service.GetDocumentRequest], + document_service.GetDocumentResponse]: + r"""Return a callable for the get document method over gRPC. + + Returns relevant fields present in the requested + document. + + Returns: + Callable[[~.GetDocumentRequest], + ~.GetDocumentResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'get_document' not in self._stubs: + self._stubs['get_document'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentService/GetDocument', + request_serializer=document_service.GetDocumentRequest.serialize, + response_deserializer=document_service.GetDocumentResponse.deserialize, + ) + return self._stubs['get_document'] + + @property + def list_documents(self) -> Callable[ + [document_service.ListDocumentsRequest], + document_service.ListDocumentsResponse]: + r"""Return a callable for the list documents method over gRPC. + + Returns a list of documents present in the dataset. + + Returns: + Callable[[~.ListDocumentsRequest], + ~.ListDocumentsResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'list_documents' not in self._stubs: + self._stubs['list_documents'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentService/ListDocuments', + request_serializer=document_service.ListDocumentsRequest.serialize, + response_deserializer=document_service.ListDocumentsResponse.deserialize, + ) + return self._stubs['list_documents'] + + @property + def batch_delete_documents(self) -> Callable[ + [document_service.BatchDeleteDocumentsRequest], + operations_pb2.Operation]: + r"""Return a callable for the batch delete documents method over gRPC. + + Deletes a set of documents. + + Returns: + Callable[[~.BatchDeleteDocumentsRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'batch_delete_documents' not in self._stubs: + self._stubs['batch_delete_documents'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentService/BatchDeleteDocuments', + request_serializer=document_service.BatchDeleteDocumentsRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['batch_delete_documents'] + + @property + def get_dataset_schema(self) -> Callable[ + [document_service.GetDatasetSchemaRequest], + dataset.DatasetSchema]: + r"""Return a callable for the get dataset schema method over gRPC. + + Gets the ``DatasetSchema`` of a ``Dataset``. + + Returns: + Callable[[~.GetDatasetSchemaRequest], + ~.DatasetSchema]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'get_dataset_schema' not in self._stubs: + self._stubs['get_dataset_schema'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentService/GetDatasetSchema', + request_serializer=document_service.GetDatasetSchemaRequest.serialize, + response_deserializer=dataset.DatasetSchema.deserialize, + ) + return self._stubs['get_dataset_schema'] + + @property + def update_dataset_schema(self) -> Callable[ + [document_service.UpdateDatasetSchemaRequest], + dataset.DatasetSchema]: + r"""Return a callable for the update dataset schema method over gRPC. + + Updates a ``DatasetSchema``. + + Returns: + Callable[[~.UpdateDatasetSchemaRequest], + ~.DatasetSchema]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'update_dataset_schema' not in self._stubs: + self._stubs['update_dataset_schema'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentService/UpdateDatasetSchema', + request_serializer=document_service.UpdateDatasetSchemaRequest.serialize, + response_deserializer=dataset.DatasetSchema.deserialize, + ) + return self._stubs['update_dataset_schema'] + + def close(self): + self.grpc_channel.close() + + @property + def cancel_operation( + self, + ) -> Callable[[operations_pb2.CancelOperationRequest], None]: + r"""Return a callable for the cancel_operation method over gRPC. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "cancel_operation" not in self._stubs: + self._stubs["cancel_operation"] = self.grpc_channel.unary_unary( + "/google.longrunning.Operations/CancelOperation", + request_serializer=operations_pb2.CancelOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["cancel_operation"] + + @property + def get_operation( + self, + ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]: + r"""Return a callable for the get_operation method over gRPC. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_operation" not in self._stubs: + self._stubs["get_operation"] = self.grpc_channel.unary_unary( + "/google.longrunning.Operations/GetOperation", + request_serializer=operations_pb2.GetOperationRequest.SerializeToString, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["get_operation"] + + @property + def list_operations( + self, + ) -> Callable[[operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse]: + r"""Return a callable for the list_operations method over gRPC. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_operations" not in self._stubs: + self._stubs["list_operations"] = self.grpc_channel.unary_unary( + "/google.longrunning.Operations/ListOperations", + request_serializer=operations_pb2.ListOperationsRequest.SerializeToString, + response_deserializer=operations_pb2.ListOperationsResponse.FromString, + ) + return self._stubs["list_operations"] + + @property + def list_locations( + self, + ) -> Callable[[locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse]: + r"""Return a callable for the list locations method over gRPC. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_locations" not in self._stubs: + self._stubs["list_locations"] = self.grpc_channel.unary_unary( + "/google.cloud.location.Locations/ListLocations", + request_serializer=locations_pb2.ListLocationsRequest.SerializeToString, + response_deserializer=locations_pb2.ListLocationsResponse.FromString, + ) + return self._stubs["list_locations"] + + @property + def get_location( + self, + ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]: + r"""Return a callable for the list locations method over gRPC. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_location" not in self._stubs: + self._stubs["get_location"] = self.grpc_channel.unary_unary( + "/google.cloud.location.Locations/GetLocation", + request_serializer=locations_pb2.GetLocationRequest.SerializeToString, + response_deserializer=locations_pb2.Location.FromString, + ) + return self._stubs["get_location"] + + @property + def kind(self) -> str: + return "grpc" + + +__all__ = ( + 'DocumentServiceGrpcTransport', +) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_service/transports/grpc_asyncio.py b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_service/transports/grpc_asyncio.py new file mode 100644 index 000000000000..36b3fa9a07b8 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_service/transports/grpc_asyncio.py @@ -0,0 +1,532 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import warnings +from typing import Awaitable, Callable, Dict, Optional, Sequence, Tuple, Union + +from google.api_core import gapic_v1 +from google.api_core import grpc_helpers_async +from google.api_core import operations_v1 +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore + +import grpc # type: ignore +from grpc.experimental import aio # type: ignore + +from google.cloud.documentai_v1beta3.types import dataset +from google.cloud.documentai_v1beta3.types import document_service +from google.cloud.location import locations_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +from .base import DocumentServiceTransport, DEFAULT_CLIENT_INFO +from .grpc import DocumentServiceGrpcTransport + + +class DocumentServiceGrpcAsyncIOTransport(DocumentServiceTransport): + """gRPC AsyncIO backend transport for DocumentService. + + Service to call Cloud DocumentAI to manage document + collection (dataset). + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends protocol buffers over the wire using gRPC (which is built on + top of HTTP/2); the ``grpcio`` package must be installed. + """ + + _grpc_channel: aio.Channel + _stubs: Dict[str, Callable] = {} + + @classmethod + def create_channel(cls, + host: str = 'documentai.googleapis.com', + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + **kwargs) -> aio.Channel: + """Create and return a gRPC AsyncIO channel object. + Args: + host (Optional[str]): The host for the channel to use. + credentials (Optional[~.Credentials]): The + authorization credentials to attach to requests. These + credentials identify this application to the service. If + none are specified, the client will attempt to ascertain + the credentials from the environment. + credentials_file (Optional[str]): A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if ``channel`` is provided. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + kwargs (Optional[dict]): Keyword arguments, which are passed to the + channel creation. + Returns: + aio.Channel: A gRPC AsyncIO channel object. + """ + + return grpc_helpers_async.create_channel( + host, + credentials=credentials, + credentials_file=credentials_file, + quota_project_id=quota_project_id, + default_scopes=cls.AUTH_SCOPES, + scopes=scopes, + default_host=cls.DEFAULT_HOST, + **kwargs + ) + + def __init__(self, *, + host: str = 'documentai.googleapis.com', + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + channel: Optional[aio.Channel] = None, + api_mtls_endpoint: Optional[str] = None, + client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None, + client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'documentai.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + This argument is ignored if ``channel`` is provided. + credentials_file (Optional[str]): A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if ``channel`` is provided. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + channel (Optional[aio.Channel]): A ``Channel`` instance through + which to make calls. + api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint. + If provided, it overrides the ``host`` argument and tries to create + a mutual TLS channel with client SSL credentials from + ``client_cert_source`` or application default SSL credentials. + client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]): + Deprecated. A callback to provide client SSL certificate bytes and + private key bytes, both in PEM format. It is ignored if + ``api_mtls_endpoint`` is None. + ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials + for the grpc channel. It is ignored if ``channel`` is provided. + client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]): + A callback to provide client certificate bytes and private key bytes, + both in PEM format. It is used to configure a mutual TLS channel. It is + ignored if ``channel`` or ``ssl_channel_credentials`` is provided. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + self._grpc_channel = None + self._ssl_channel_credentials = ssl_channel_credentials + self._stubs: Dict[str, Callable] = {} + self._operations_client: Optional[operations_v1.OperationsAsyncClient] = None + + if api_mtls_endpoint: + warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning) + if client_cert_source: + warnings.warn("client_cert_source is deprecated", DeprecationWarning) + + if channel: + # Ignore credentials if a channel was passed. + credentials = False + # If a channel was explicitly provided, set it. + self._grpc_channel = channel + self._ssl_channel_credentials = None + else: + if api_mtls_endpoint: + host = api_mtls_endpoint + + # Create SSL credentials with client_cert_source or application + # default SSL credentials. + if client_cert_source: + cert, key = client_cert_source() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + else: + self._ssl_channel_credentials = SslCredentials().ssl_credentials + + else: + if client_cert_source_for_mtls and not ssl_channel_credentials: + cert, key = client_cert_source_for_mtls() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + + # The base transport sets the host, credentials and scopes + super().__init__( + host=host, + credentials=credentials, + credentials_file=credentials_file, + scopes=scopes, + quota_project_id=quota_project_id, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience, + ) + + if not self._grpc_channel: + self._grpc_channel = type(self).create_channel( + self._host, + # use the credentials which are saved + credentials=self._credentials, + # Set ``credentials_file`` to ``None`` here as + # the credentials that we saved earlier should be used. + credentials_file=None, + scopes=self._scopes, + ssl_credentials=self._ssl_channel_credentials, + quota_project_id=quota_project_id, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + # Wrap messages. This must be done after self._grpc_channel exists + self._prep_wrapped_messages(client_info) + + @property + def grpc_channel(self) -> aio.Channel: + """Create the channel designed to connect to this service. + + This property caches on the instance; repeated calls return + the same channel. + """ + # Return the channel from cache. + return self._grpc_channel + + @property + def operations_client(self) -> operations_v1.OperationsAsyncClient: + """Create the client designed to process long-running operations. + + This property caches on the instance; repeated calls return the same + client. + """ + # Quick check: Only create a new client if we do not already have one. + if self._operations_client is None: + self._operations_client = operations_v1.OperationsAsyncClient( + self.grpc_channel + ) + + # Return the client from cache. + return self._operations_client + + @property + def update_dataset(self) -> Callable[ + [document_service.UpdateDatasetRequest], + Awaitable[operations_pb2.Operation]]: + r"""Return a callable for the update dataset method over gRPC. + + Updates metadata associated with a dataset. + + Returns: + Callable[[~.UpdateDatasetRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'update_dataset' not in self._stubs: + self._stubs['update_dataset'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentService/UpdateDataset', + request_serializer=document_service.UpdateDatasetRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['update_dataset'] + + @property + def import_documents(self) -> Callable[ + [document_service.ImportDocumentsRequest], + Awaitable[operations_pb2.Operation]]: + r"""Return a callable for the import documents method over gRPC. + + Import documents into a dataset. + + Returns: + Callable[[~.ImportDocumentsRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'import_documents' not in self._stubs: + self._stubs['import_documents'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentService/ImportDocuments', + request_serializer=document_service.ImportDocumentsRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['import_documents'] + + @property + def get_document(self) -> Callable[ + [document_service.GetDocumentRequest], + Awaitable[document_service.GetDocumentResponse]]: + r"""Return a callable for the get document method over gRPC. + + Returns relevant fields present in the requested + document. + + Returns: + Callable[[~.GetDocumentRequest], + Awaitable[~.GetDocumentResponse]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'get_document' not in self._stubs: + self._stubs['get_document'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentService/GetDocument', + request_serializer=document_service.GetDocumentRequest.serialize, + response_deserializer=document_service.GetDocumentResponse.deserialize, + ) + return self._stubs['get_document'] + + @property + def list_documents(self) -> Callable[ + [document_service.ListDocumentsRequest], + Awaitable[document_service.ListDocumentsResponse]]: + r"""Return a callable for the list documents method over gRPC. + + Returns a list of documents present in the dataset. + + Returns: + Callable[[~.ListDocumentsRequest], + Awaitable[~.ListDocumentsResponse]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'list_documents' not in self._stubs: + self._stubs['list_documents'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentService/ListDocuments', + request_serializer=document_service.ListDocumentsRequest.serialize, + response_deserializer=document_service.ListDocumentsResponse.deserialize, + ) + return self._stubs['list_documents'] + + @property + def batch_delete_documents(self) -> Callable[ + [document_service.BatchDeleteDocumentsRequest], + Awaitable[operations_pb2.Operation]]: + r"""Return a callable for the batch delete documents method over gRPC. + + Deletes a set of documents. + + Returns: + Callable[[~.BatchDeleteDocumentsRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'batch_delete_documents' not in self._stubs: + self._stubs['batch_delete_documents'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentService/BatchDeleteDocuments', + request_serializer=document_service.BatchDeleteDocumentsRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['batch_delete_documents'] + + @property + def get_dataset_schema(self) -> Callable[ + [document_service.GetDatasetSchemaRequest], + Awaitable[dataset.DatasetSchema]]: + r"""Return a callable for the get dataset schema method over gRPC. + + Gets the ``DatasetSchema`` of a ``Dataset``. + + Returns: + Callable[[~.GetDatasetSchemaRequest], + Awaitable[~.DatasetSchema]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'get_dataset_schema' not in self._stubs: + self._stubs['get_dataset_schema'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentService/GetDatasetSchema', + request_serializer=document_service.GetDatasetSchemaRequest.serialize, + response_deserializer=dataset.DatasetSchema.deserialize, + ) + return self._stubs['get_dataset_schema'] + + @property + def update_dataset_schema(self) -> Callable[ + [document_service.UpdateDatasetSchemaRequest], + Awaitable[dataset.DatasetSchema]]: + r"""Return a callable for the update dataset schema method over gRPC. + + Updates a ``DatasetSchema``. + + Returns: + Callable[[~.UpdateDatasetSchemaRequest], + Awaitable[~.DatasetSchema]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'update_dataset_schema' not in self._stubs: + self._stubs['update_dataset_schema'] = self.grpc_channel.unary_unary( + '/google.cloud.documentai.v1beta3.DocumentService/UpdateDatasetSchema', + request_serializer=document_service.UpdateDatasetSchemaRequest.serialize, + response_deserializer=dataset.DatasetSchema.deserialize, + ) + return self._stubs['update_dataset_schema'] + + def close(self): + return self.grpc_channel.close() + + @property + def cancel_operation( + self, + ) -> Callable[[operations_pb2.CancelOperationRequest], None]: + r"""Return a callable for the cancel_operation method over gRPC. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "cancel_operation" not in self._stubs: + self._stubs["cancel_operation"] = self.grpc_channel.unary_unary( + "/google.longrunning.Operations/CancelOperation", + request_serializer=operations_pb2.CancelOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["cancel_operation"] + + @property + def get_operation( + self, + ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]: + r"""Return a callable for the get_operation method over gRPC. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_operation" not in self._stubs: + self._stubs["get_operation"] = self.grpc_channel.unary_unary( + "/google.longrunning.Operations/GetOperation", + request_serializer=operations_pb2.GetOperationRequest.SerializeToString, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["get_operation"] + + @property + def list_operations( + self, + ) -> Callable[[operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse]: + r"""Return a callable for the list_operations method over gRPC. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_operations" not in self._stubs: + self._stubs["list_operations"] = self.grpc_channel.unary_unary( + "/google.longrunning.Operations/ListOperations", + request_serializer=operations_pb2.ListOperationsRequest.SerializeToString, + response_deserializer=operations_pb2.ListOperationsResponse.FromString, + ) + return self._stubs["list_operations"] + + @property + def list_locations( + self, + ) -> Callable[[locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse]: + r"""Return a callable for the list locations method over gRPC. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_locations" not in self._stubs: + self._stubs["list_locations"] = self.grpc_channel.unary_unary( + "/google.cloud.location.Locations/ListLocations", + request_serializer=locations_pb2.ListLocationsRequest.SerializeToString, + response_deserializer=locations_pb2.ListLocationsResponse.FromString, + ) + return self._stubs["list_locations"] + + @property + def get_location( + self, + ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]: + r"""Return a callable for the list locations method over gRPC. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_location" not in self._stubs: + self._stubs["get_location"] = self.grpc_channel.unary_unary( + "/google.cloud.location.Locations/GetLocation", + request_serializer=locations_pb2.GetLocationRequest.SerializeToString, + response_deserializer=locations_pb2.Location.FromString, + ) + return self._stubs["get_location"] + + +__all__ = ( + 'DocumentServiceGrpcAsyncIOTransport', +) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_service/transports/rest.py b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_service/transports/rest.py new file mode 100644 index 000000000000..dec3895fd32f --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/services/document_service/transports/rest.py @@ -0,0 +1,1485 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +from google.auth.transport.requests import AuthorizedSession # type: ignore +import json # type: ignore +import grpc # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.auth import credentials as ga_credentials # type: ignore +from google.api_core import exceptions as core_exceptions +from google.api_core import retry as retries +from google.api_core import rest_helpers +from google.api_core import rest_streaming +from google.api_core import path_template +from google.api_core import gapic_v1 + +from google.protobuf import json_format +from google.api_core import operations_v1 +from google.cloud.location import locations_pb2 # type: ignore +from requests import __version__ as requests_version +import dataclasses +import re +from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Union +import warnings + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + + +from google.cloud.documentai_v1beta3.types import dataset +from google.cloud.documentai_v1beta3.types import document_service +from google.longrunning import operations_pb2 # type: ignore + +from .base import DocumentServiceTransport, DEFAULT_CLIENT_INFO as BASE_DEFAULT_CLIENT_INFO + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=BASE_DEFAULT_CLIENT_INFO.gapic_version, + grpc_version=None, + rest_version=requests_version, +) + + +class DocumentServiceRestInterceptor: + """Interceptor for DocumentService. + + Interceptors are used to manipulate requests, request metadata, and responses + in arbitrary ways. + Example use cases include: + * Logging + * Verifying requests according to service or custom semantics + * Stripping extraneous information from responses + + These use cases and more can be enabled by injecting an + instance of a custom subclass when constructing the DocumentServiceRestTransport. + + .. code-block:: python + class MyCustomDocumentServiceInterceptor(DocumentServiceRestInterceptor): + def pre_batch_delete_documents(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_batch_delete_documents(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_get_dataset_schema(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_get_dataset_schema(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_get_document(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_get_document(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_import_documents(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_import_documents(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_list_documents(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_list_documents(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_update_dataset(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_update_dataset(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_update_dataset_schema(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_update_dataset_schema(self, response): + logging.log(f"Received response: {response}") + return response + + transport = DocumentServiceRestTransport(interceptor=MyCustomDocumentServiceInterceptor()) + client = DocumentServiceClient(transport=transport) + + + """ + def pre_batch_delete_documents(self, request: document_service.BatchDeleteDocumentsRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_service.BatchDeleteDocumentsRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for batch_delete_documents + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentService server. + """ + return request, metadata + + def post_batch_delete_documents(self, response: operations_pb2.Operation) -> operations_pb2.Operation: + """Post-rpc interceptor for batch_delete_documents + + Override in a subclass to manipulate the response + after it is returned by the DocumentService server but before + it is returned to user code. + """ + return response + def pre_get_dataset_schema(self, request: document_service.GetDatasetSchemaRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_service.GetDatasetSchemaRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for get_dataset_schema + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentService server. + """ + return request, metadata + + def post_get_dataset_schema(self, response: dataset.DatasetSchema) -> dataset.DatasetSchema: + """Post-rpc interceptor for get_dataset_schema + + Override in a subclass to manipulate the response + after it is returned by the DocumentService server but before + it is returned to user code. + """ + return response + def pre_get_document(self, request: document_service.GetDocumentRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_service.GetDocumentRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for get_document + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentService server. + """ + return request, metadata + + def post_get_document(self, response: document_service.GetDocumentResponse) -> document_service.GetDocumentResponse: + """Post-rpc interceptor for get_document + + Override in a subclass to manipulate the response + after it is returned by the DocumentService server but before + it is returned to user code. + """ + return response + def pre_import_documents(self, request: document_service.ImportDocumentsRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_service.ImportDocumentsRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for import_documents + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentService server. + """ + return request, metadata + + def post_import_documents(self, response: operations_pb2.Operation) -> operations_pb2.Operation: + """Post-rpc interceptor for import_documents + + Override in a subclass to manipulate the response + after it is returned by the DocumentService server but before + it is returned to user code. + """ + return response + def pre_list_documents(self, request: document_service.ListDocumentsRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_service.ListDocumentsRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for list_documents + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentService server. + """ + return request, metadata + + def post_list_documents(self, response: document_service.ListDocumentsResponse) -> document_service.ListDocumentsResponse: + """Post-rpc interceptor for list_documents + + Override in a subclass to manipulate the response + after it is returned by the DocumentService server but before + it is returned to user code. + """ + return response + def pre_update_dataset(self, request: document_service.UpdateDatasetRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_service.UpdateDatasetRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for update_dataset + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentService server. + """ + return request, metadata + + def post_update_dataset(self, response: operations_pb2.Operation) -> operations_pb2.Operation: + """Post-rpc interceptor for update_dataset + + Override in a subclass to manipulate the response + after it is returned by the DocumentService server but before + it is returned to user code. + """ + return response + def pre_update_dataset_schema(self, request: document_service.UpdateDatasetSchemaRequest, metadata: Sequence[Tuple[str, str]]) -> Tuple[document_service.UpdateDatasetSchemaRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for update_dataset_schema + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentService server. + """ + return request, metadata + + def post_update_dataset_schema(self, response: dataset.DatasetSchema) -> dataset.DatasetSchema: + """Post-rpc interceptor for update_dataset_schema + + Override in a subclass to manipulate the response + after it is returned by the DocumentService server but before + it is returned to user code. + """ + return response + + def pre_get_location( + self, request: locations_pb2.GetLocationRequest, metadata: Sequence[Tuple[str, str]] + ) -> Tuple[locations_pb2.GetLocationRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for get_location + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentService server. + """ + return request, metadata + + def post_get_location( + self, response: locations_pb2.Location + ) -> locations_pb2.Location: + """Post-rpc interceptor for get_location + + Override in a subclass to manipulate the response + after it is returned by the DocumentService server but before + it is returned to user code. + """ + return response + def pre_list_locations( + self, request: locations_pb2.ListLocationsRequest, metadata: Sequence[Tuple[str, str]] + ) -> Tuple[locations_pb2.ListLocationsRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for list_locations + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentService server. + """ + return request, metadata + + def post_list_locations( + self, response: locations_pb2.ListLocationsResponse + ) -> locations_pb2.ListLocationsResponse: + """Post-rpc interceptor for list_locations + + Override in a subclass to manipulate the response + after it is returned by the DocumentService server but before + it is returned to user code. + """ + return response + def pre_cancel_operation( + self, request: operations_pb2.CancelOperationRequest, metadata: Sequence[Tuple[str, str]] + ) -> Tuple[operations_pb2.CancelOperationRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for cancel_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentService server. + """ + return request, metadata + + def post_cancel_operation( + self, response: None + ) -> None: + """Post-rpc interceptor for cancel_operation + + Override in a subclass to manipulate the response + after it is returned by the DocumentService server but before + it is returned to user code. + """ + return response + def pre_get_operation( + self, request: operations_pb2.GetOperationRequest, metadata: Sequence[Tuple[str, str]] + ) -> Tuple[operations_pb2.GetOperationRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for get_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentService server. + """ + return request, metadata + + def post_get_operation( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for get_operation + + Override in a subclass to manipulate the response + after it is returned by the DocumentService server but before + it is returned to user code. + """ + return response + def pre_list_operations( + self, request: operations_pb2.ListOperationsRequest, metadata: Sequence[Tuple[str, str]] + ) -> Tuple[operations_pb2.ListOperationsRequest, Sequence[Tuple[str, str]]]: + """Pre-rpc interceptor for list_operations + + Override in a subclass to manipulate the request or metadata + before they are sent to the DocumentService server. + """ + return request, metadata + + def post_list_operations( + self, response: operations_pb2.ListOperationsResponse + ) -> operations_pb2.ListOperationsResponse: + """Post-rpc interceptor for list_operations + + Override in a subclass to manipulate the response + after it is returned by the DocumentService server but before + it is returned to user code. + """ + return response + + +@dataclasses.dataclass +class DocumentServiceRestStub: + _session: AuthorizedSession + _host: str + _interceptor: DocumentServiceRestInterceptor + + +class DocumentServiceRestTransport(DocumentServiceTransport): + """REST backend transport for DocumentService. + + Service to call Cloud DocumentAI to manage document + collection (dataset). + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends JSON representations of protocol buffers over HTTP/1.1 + + """ + + def __init__(self, *, + host: str = 'documentai.googleapis.com', + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + client_cert_source_for_mtls: Optional[Callable[[ + ], Tuple[bytes, bytes]]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + url_scheme: str = 'https', + interceptor: Optional[DocumentServiceRestInterceptor] = None, + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'documentai.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + + credentials_file (Optional[str]): A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if ``channel`` is provided. + scopes (Optional(Sequence[str])): A list of scopes. This argument is + ignored if ``channel`` is provided. + client_cert_source_for_mtls (Callable[[], Tuple[bytes, bytes]]): Client + certificate to configure mutual TLS HTTP channel. It is ignored + if ``channel`` is provided. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you are developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + url_scheme: the protocol scheme for the API endpoint. Normally + "https", but for testing or local servers, + "http" can be specified. + """ + # Run the base constructor + # TODO(yon-mg): resolve other ctor params i.e. scopes, quota, etc. + # TODO: When custom host (api_endpoint) is set, `scopes` must *also* be set on the + # credentials object + maybe_url_match = re.match("^(?Phttp(?:s)?://)?(?P.*)$", host) + if maybe_url_match is None: + raise ValueError(f"Unexpected hostname structure: {host}") # pragma: NO COVER + + url_match_items = maybe_url_match.groupdict() + + host = f"{url_scheme}://{host}" if not url_match_items["scheme"] else host + + super().__init__( + host=host, + credentials=credentials, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience + ) + self._session = AuthorizedSession( + self._credentials, default_host=self.DEFAULT_HOST) + self._operations_client: Optional[operations_v1.AbstractOperationsClient] = None + if client_cert_source_for_mtls: + self._session.configure_mtls_channel(client_cert_source_for_mtls) + self._interceptor = interceptor or DocumentServiceRestInterceptor() + self._prep_wrapped_messages(client_info) + + @property + def operations_client(self) -> operations_v1.AbstractOperationsClient: + """Create the client designed to process long-running operations. + + This property caches on the instance; repeated calls return the same + client. + """ + # Only create a new client if we do not already have one. + if self._operations_client is None: + http_options: Dict[str, List[Dict[str, str]]] = { + 'google.longrunning.Operations.CancelOperation': [ + { + 'method': 'post', + 'uri': '/v1beta3/{name=projects/*/locations/*/operations/*}:cancel', + }, + { + 'method': 'post', + 'uri': '/uiv1beta3/{name=projects/*/locations/*/operations/*}:cancel', + }, + ], + 'google.longrunning.Operations.GetOperation': [ + { + 'method': 'get', + 'uri': '/v1beta3/{name=projects/*/locations/*/operations/*}', + }, + { + 'method': 'get', + 'uri': '/uiv1beta3/{name=projects/*/locations/*/operations/*}', + }, + ], + 'google.longrunning.Operations.ListOperations': [ + { + 'method': 'get', + 'uri': '/v1beta3/{name=projects/*/locations/*/operations}', + }, + { + 'method': 'get', + 'uri': '/uiv1beta3/{name=projects/*/locations/*/operations}', + }, + ], + } + + rest_transport = operations_v1.OperationsRestTransport( + host=self._host, + # use the credentials which are saved + credentials=self._credentials, + scopes=self._scopes, + http_options=http_options, + path_prefix="v1beta3") + + self._operations_client = operations_v1.AbstractOperationsClient(transport=rest_transport) + + # Return the client from cache. + return self._operations_client + + class _BatchDeleteDocuments(DocumentServiceRestStub): + def __hash__(self): + return hash("BatchDeleteDocuments") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_service.BatchDeleteDocumentsRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> operations_pb2.Operation: + r"""Call the batch delete documents method over HTTP. + + Args: + request (~.document_service.BatchDeleteDocumentsRequest): + The request object. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'post', + 'uri': '/v1beta3/{dataset=projects/*/locations/*/processors/*/dataset}:batchDeleteDocuments', + 'body': '*', + }, + ] + request, metadata = self._interceptor.pre_batch_delete_documents(request, metadata) + pb_request = document_service.BatchDeleteDocumentsRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request['body'], + use_integers_for_enums=True + ) + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = operations_pb2.Operation() + json_format.Parse(response.content, resp, ignore_unknown_fields=True) + resp = self._interceptor.post_batch_delete_documents(resp) + return resp + + class _GetDatasetSchema(DocumentServiceRestStub): + def __hash__(self): + return hash("GetDatasetSchema") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_service.GetDatasetSchemaRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> dataset.DatasetSchema: + r"""Call the get dataset schema method over HTTP. + + Args: + request (~.document_service.GetDatasetSchemaRequest): + The request object. Request for ``GetDatasetSchema``. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.dataset.DatasetSchema: + Dataset Schema. + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'get', + 'uri': '/v1beta3/{name=projects/*/locations/*/processors/*/dataset/datasetSchema}', + }, + ] + request, metadata = self._interceptor.pre_get_dataset_schema(request, metadata) + pb_request = document_service.GetDatasetSchemaRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = dataset.DatasetSchema() + pb_resp = dataset.DatasetSchema.pb(resp) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + resp = self._interceptor.post_get_dataset_schema(resp) + return resp + + class _GetDocument(DocumentServiceRestStub): + def __hash__(self): + return hash("GetDocument") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + "documentId" : {}, } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_service.GetDocumentRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> document_service.GetDocumentResponse: + r"""Call the get document method over HTTP. + + Args: + request (~.document_service.GetDocumentRequest): + The request object. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.document_service.GetDocumentResponse: + + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'get', + 'uri': '/v1beta3/{dataset=projects/*/locations/*/processors/*/dataset}:getDocument', + }, + ] + request, metadata = self._interceptor.pre_get_document(request, metadata) + pb_request = document_service.GetDocumentRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = document_service.GetDocumentResponse() + pb_resp = document_service.GetDocumentResponse.pb(resp) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + resp = self._interceptor.post_get_document(resp) + return resp + + class _ImportDocuments(DocumentServiceRestStub): + def __hash__(self): + return hash("ImportDocuments") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_service.ImportDocumentsRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> operations_pb2.Operation: + r"""Call the import documents method over HTTP. + + Args: + request (~.document_service.ImportDocumentsRequest): + The request object. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'post', + 'uri': '/v1beta3/{dataset=projects/*/locations/*/processors/*/dataset}:importDocuments', + 'body': '*', + }, + ] + request, metadata = self._interceptor.pre_import_documents(request, metadata) + pb_request = document_service.ImportDocumentsRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request['body'], + use_integers_for_enums=True + ) + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = operations_pb2.Operation() + json_format.Parse(response.content, resp, ignore_unknown_fields=True) + resp = self._interceptor.post_import_documents(resp) + return resp + + class _ListDocuments(DocumentServiceRestStub): + def __hash__(self): + return hash("ListDocuments") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_service.ListDocumentsRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> document_service.ListDocumentsResponse: + r"""Call the list documents method over HTTP. + + Args: + request (~.document_service.ListDocumentsRequest): + The request object. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.document_service.ListDocumentsResponse: + + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'post', + 'uri': '/v1beta3/{dataset=projects/*/locations/*/processors/*/dataset}:listDocuments', + 'body': '*', + }, + ] + request, metadata = self._interceptor.pre_list_documents(request, metadata) + pb_request = document_service.ListDocumentsRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request['body'], + use_integers_for_enums=True + ) + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = document_service.ListDocumentsResponse() + pb_resp = document_service.ListDocumentsResponse.pb(resp) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + resp = self._interceptor.post_list_documents(resp) + return resp + + class _UpdateDataset(DocumentServiceRestStub): + def __hash__(self): + return hash("UpdateDataset") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_service.UpdateDatasetRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> operations_pb2.Operation: + r"""Call the update dataset method over HTTP. + + Args: + request (~.document_service.UpdateDatasetRequest): + The request object. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'patch', + 'uri': '/v1beta3/{dataset.name=projects/*/locations/*/processors/*/dataset}', + 'body': 'dataset', + }, + ] + request, metadata = self._interceptor.pre_update_dataset(request, metadata) + pb_request = document_service.UpdateDatasetRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request['body'], + use_integers_for_enums=True + ) + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = operations_pb2.Operation() + json_format.Parse(response.content, resp, ignore_unknown_fields=True) + resp = self._interceptor.post_update_dataset(resp) + return resp + + class _UpdateDatasetSchema(DocumentServiceRestStub): + def __hash__(self): + return hash("UpdateDatasetSchema") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return {k: v for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() if k not in message_dict} + + def __call__(self, + request: document_service.UpdateDatasetSchemaRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> dataset.DatasetSchema: + r"""Call the update dataset schema method over HTTP. + + Args: + request (~.document_service.UpdateDatasetSchemaRequest): + The request object. Request for ``UpdateDatasetSchema``. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + ~.dataset.DatasetSchema: + Dataset Schema. + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'patch', + 'uri': '/v1beta3/{dataset_schema.name=projects/*/locations/*/processors/*/dataset/datasetSchema}', + 'body': 'dataset_schema', + }, + ] + request, metadata = self._interceptor.pre_update_dataset_schema(request, metadata) + pb_request = document_service.UpdateDatasetSchemaRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request['body'], + use_integers_for_enums=True + ) + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json_format.MessageToJson( + transcoded_request['query_params'], + use_integers_for_enums=True, + )) + query_params.update(self._get_unset_required_fields(query_params)) + + query_params["$alt"] = "json;enum-encoding=int" + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = dataset.DatasetSchema() + pb_resp = dataset.DatasetSchema.pb(resp) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + resp = self._interceptor.post_update_dataset_schema(resp) + return resp + + @property + def batch_delete_documents(self) -> Callable[ + [document_service.BatchDeleteDocumentsRequest], + operations_pb2.Operation]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._BatchDeleteDocuments(self._session, self._host, self._interceptor) # type: ignore + + @property + def get_dataset_schema(self) -> Callable[ + [document_service.GetDatasetSchemaRequest], + dataset.DatasetSchema]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._GetDatasetSchema(self._session, self._host, self._interceptor) # type: ignore + + @property + def get_document(self) -> Callable[ + [document_service.GetDocumentRequest], + document_service.GetDocumentResponse]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._GetDocument(self._session, self._host, self._interceptor) # type: ignore + + @property + def import_documents(self) -> Callable[ + [document_service.ImportDocumentsRequest], + operations_pb2.Operation]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._ImportDocuments(self._session, self._host, self._interceptor) # type: ignore + + @property + def list_documents(self) -> Callable[ + [document_service.ListDocumentsRequest], + document_service.ListDocumentsResponse]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._ListDocuments(self._session, self._host, self._interceptor) # type: ignore + + @property + def update_dataset(self) -> Callable[ + [document_service.UpdateDatasetRequest], + operations_pb2.Operation]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._UpdateDataset(self._session, self._host, self._interceptor) # type: ignore + + @property + def update_dataset_schema(self) -> Callable[ + [document_service.UpdateDatasetSchemaRequest], + dataset.DatasetSchema]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._UpdateDatasetSchema(self._session, self._host, self._interceptor) # type: ignore + + @property + def get_location(self): + return self._GetLocation(self._session, self._host, self._interceptor) # type: ignore + + class _GetLocation(DocumentServiceRestStub): + def __call__(self, + request: locations_pb2.GetLocationRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> locations_pb2.Location: + + r"""Call the get location method over HTTP. + + Args: + request (locations_pb2.GetLocationRequest): + The request object for GetLocation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + locations_pb2.Location: Response from GetLocation method. + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'get', + 'uri': '/v1beta3/{name=projects/*/locations/*}', + }, +{ + 'method': 'get', + 'uri': '/uiv1beta3/{name=projects/*/locations/*}', + }, + ] + + request, metadata = self._interceptor.pre_get_location(request, metadata) + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode( + http_options, **request_kwargs) + + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json.dumps(transcoded_request['query_params'])) + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params), + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + resp = locations_pb2.Location() + resp = json_format.Parse(response.content.decode("utf-8"), resp) + resp = self._interceptor.post_get_location(resp) + return resp + + @property + def list_locations(self): + return self._ListLocations(self._session, self._host, self._interceptor) # type: ignore + + class _ListLocations(DocumentServiceRestStub): + def __call__(self, + request: locations_pb2.ListLocationsRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> locations_pb2.ListLocationsResponse: + + r"""Call the list locations method over HTTP. + + Args: + request (locations_pb2.ListLocationsRequest): + The request object for ListLocations method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + locations_pb2.ListLocationsResponse: Response from ListLocations method. + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'get', + 'uri': '/v1beta3/{name=projects/*}/locations', + }, +{ + 'method': 'get', + 'uri': '/uiv1beta3/{name=projects/*}/locations', + }, + ] + + request, metadata = self._interceptor.pre_list_locations(request, metadata) + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode( + http_options, **request_kwargs) + + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json.dumps(transcoded_request['query_params'])) + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params), + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + resp = locations_pb2.ListLocationsResponse() + resp = json_format.Parse(response.content.decode("utf-8"), resp) + resp = self._interceptor.post_list_locations(resp) + return resp + + @property + def cancel_operation(self): + return self._CancelOperation(self._session, self._host, self._interceptor) # type: ignore + + class _CancelOperation(DocumentServiceRestStub): + def __call__(self, + request: operations_pb2.CancelOperationRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> None: + + r"""Call the cancel operation method over HTTP. + + Args: + request (operations_pb2.CancelOperationRequest): + The request object for CancelOperation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'post', + 'uri': '/v1beta3/{name=projects/*/locations/*/operations/*}:cancel', + }, +{ + 'method': 'post', + 'uri': '/uiv1beta3/{name=projects/*/locations/*/operations/*}:cancel', + }, + ] + + request, metadata = self._interceptor.pre_cancel_operation(request, metadata) + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode( + http_options, **request_kwargs) + + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json.dumps(transcoded_request['query_params'])) + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params), + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + return self._interceptor.post_cancel_operation(None) + + @property + def get_operation(self): + return self._GetOperation(self._session, self._host, self._interceptor) # type: ignore + + class _GetOperation(DocumentServiceRestStub): + def __call__(self, + request: operations_pb2.GetOperationRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> operations_pb2.Operation: + + r"""Call the get operation method over HTTP. + + Args: + request (operations_pb2.GetOperationRequest): + The request object for GetOperation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + operations_pb2.Operation: Response from GetOperation method. + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'get', + 'uri': '/v1beta3/{name=projects/*/locations/*/operations/*}', + }, +{ + 'method': 'get', + 'uri': '/uiv1beta3/{name=projects/*/locations/*/operations/*}', + }, + ] + + request, metadata = self._interceptor.pre_get_operation(request, metadata) + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode( + http_options, **request_kwargs) + + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json.dumps(transcoded_request['query_params'])) + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params), + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + resp = operations_pb2.Operation() + resp = json_format.Parse(response.content.decode("utf-8"), resp) + resp = self._interceptor.post_get_operation(resp) + return resp + + @property + def list_operations(self): + return self._ListOperations(self._session, self._host, self._interceptor) # type: ignore + + class _ListOperations(DocumentServiceRestStub): + def __call__(self, + request: operations_pb2.ListOperationsRequest, *, + retry: OptionalRetry=gapic_v1.method.DEFAULT, + timeout: Optional[float]=None, + metadata: Sequence[Tuple[str, str]]=(), + ) -> operations_pb2.ListOperationsResponse: + + r"""Call the list operations method over HTTP. + + Args: + request (operations_pb2.ListOperationsRequest): + The request object for ListOperations method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + operations_pb2.ListOperationsResponse: Response from ListOperations method. + """ + + http_options: List[Dict[str, str]] = [{ + 'method': 'get', + 'uri': '/v1beta3/{name=projects/*/locations/*/operations}', + }, +{ + 'method': 'get', + 'uri': '/uiv1beta3/{name=projects/*/locations/*/operations}', + }, + ] + + request, metadata = self._interceptor.pre_list_operations(request, metadata) + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode( + http_options, **request_kwargs) + + uri = transcoded_request['uri'] + method = transcoded_request['method'] + + # Jsonify the query params + query_params = json.loads(json.dumps(transcoded_request['query_params'])) + + # Send the request + headers = dict(metadata) + headers['Content-Type'] = 'application/json' + + response = getattr(self._session, method)( + "{host}{uri}".format(host=self._host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params), + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + resp = operations_pb2.ListOperationsResponse() + resp = json_format.Parse(response.content.decode("utf-8"), resp) + resp = self._interceptor.post_list_operations(resp) + return resp + + @property + def kind(self) -> str: + return "rest" + + def close(self): + self._session.close() + + +__all__=( + 'DocumentServiceRestTransport', +) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/types/__init__.py b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/types/__init__.py new file mode 100644 index 000000000000..326a7114bf7d --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/types/__init__.py @@ -0,0 +1,242 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from .barcode import ( + Barcode, +) +from .dataset import ( + BatchDatasetDocuments, + Dataset, + DatasetSchema, + DocumentId, +) +from .document import ( + Document, + RevisionRef, +) +from .document_io import ( + BatchDocumentsInputConfig, + DocumentOutputConfig, + GcsDocument, + GcsDocuments, + GcsPrefix, + OcrConfig, + RawDocument, +) +from .document_processor_service import ( + BatchProcessMetadata, + BatchProcessRequest, + BatchProcessResponse, + CreateProcessorRequest, + DeleteProcessorMetadata, + DeleteProcessorRequest, + DeleteProcessorVersionMetadata, + DeleteProcessorVersionRequest, + DeployProcessorVersionMetadata, + DeployProcessorVersionRequest, + DeployProcessorVersionResponse, + DisableProcessorMetadata, + DisableProcessorRequest, + DisableProcessorResponse, + EnableProcessorMetadata, + EnableProcessorRequest, + EnableProcessorResponse, + EvaluateProcessorVersionMetadata, + EvaluateProcessorVersionRequest, + EvaluateProcessorVersionResponse, + FetchProcessorTypesRequest, + FetchProcessorTypesResponse, + GetEvaluationRequest, + GetProcessorRequest, + GetProcessorTypeRequest, + GetProcessorVersionRequest, + HumanReviewStatus, + ImportProcessorVersionMetadata, + ImportProcessorVersionRequest, + ImportProcessorVersionResponse, + ListEvaluationsRequest, + ListEvaluationsResponse, + ListProcessorsRequest, + ListProcessorsResponse, + ListProcessorTypesRequest, + ListProcessorTypesResponse, + ListProcessorVersionsRequest, + ListProcessorVersionsResponse, + ProcessOptions, + ProcessRequest, + ProcessResponse, + ReviewDocumentOperationMetadata, + ReviewDocumentRequest, + ReviewDocumentResponse, + SetDefaultProcessorVersionMetadata, + SetDefaultProcessorVersionRequest, + SetDefaultProcessorVersionResponse, + TrainProcessorVersionMetadata, + TrainProcessorVersionRequest, + TrainProcessorVersionResponse, + UndeployProcessorVersionMetadata, + UndeployProcessorVersionRequest, + UndeployProcessorVersionResponse, +) +from .document_schema import ( + DocumentSchema, + EntityTypeMetadata, + FieldExtractionMetadata, + PropertyMetadata, + SummaryOptions, +) +from .document_service import ( + BatchDeleteDocumentsMetadata, + BatchDeleteDocumentsRequest, + BatchDeleteDocumentsResponse, + DocumentMetadata, + DocumentPageRange, + GetDatasetSchemaRequest, + GetDocumentRequest, + GetDocumentResponse, + ImportDocumentsMetadata, + ImportDocumentsRequest, + ImportDocumentsResponse, + ListDocumentsRequest, + ListDocumentsResponse, + UpdateDatasetOperationMetadata, + UpdateDatasetRequest, + UpdateDatasetSchemaRequest, + DatasetSplitType, + DocumentLabelingState, +) +from .evaluation import ( + Evaluation, + EvaluationReference, +) +from .geometry import ( + BoundingPoly, + NormalizedVertex, + Vertex, +) +from .operation_metadata import ( + CommonOperationMetadata, +) +from .processor import ( + Processor, + ProcessorVersion, + ProcessorVersionAlias, +) +from .processor_type import ( + ProcessorType, +) + +__all__ = ( + 'Barcode', + 'BatchDatasetDocuments', + 'Dataset', + 'DatasetSchema', + 'DocumentId', + 'Document', + 'RevisionRef', + 'BatchDocumentsInputConfig', + 'DocumentOutputConfig', + 'GcsDocument', + 'GcsDocuments', + 'GcsPrefix', + 'OcrConfig', + 'RawDocument', + 'BatchProcessMetadata', + 'BatchProcessRequest', + 'BatchProcessResponse', + 'CreateProcessorRequest', + 'DeleteProcessorMetadata', + 'DeleteProcessorRequest', + 'DeleteProcessorVersionMetadata', + 'DeleteProcessorVersionRequest', + 'DeployProcessorVersionMetadata', + 'DeployProcessorVersionRequest', + 'DeployProcessorVersionResponse', + 'DisableProcessorMetadata', + 'DisableProcessorRequest', + 'DisableProcessorResponse', + 'EnableProcessorMetadata', + 'EnableProcessorRequest', + 'EnableProcessorResponse', + 'EvaluateProcessorVersionMetadata', + 'EvaluateProcessorVersionRequest', + 'EvaluateProcessorVersionResponse', + 'FetchProcessorTypesRequest', + 'FetchProcessorTypesResponse', + 'GetEvaluationRequest', + 'GetProcessorRequest', + 'GetProcessorTypeRequest', + 'GetProcessorVersionRequest', + 'HumanReviewStatus', + 'ImportProcessorVersionMetadata', + 'ImportProcessorVersionRequest', + 'ImportProcessorVersionResponse', + 'ListEvaluationsRequest', + 'ListEvaluationsResponse', + 'ListProcessorsRequest', + 'ListProcessorsResponse', + 'ListProcessorTypesRequest', + 'ListProcessorTypesResponse', + 'ListProcessorVersionsRequest', + 'ListProcessorVersionsResponse', + 'ProcessOptions', + 'ProcessRequest', + 'ProcessResponse', + 'ReviewDocumentOperationMetadata', + 'ReviewDocumentRequest', + 'ReviewDocumentResponse', + 'SetDefaultProcessorVersionMetadata', + 'SetDefaultProcessorVersionRequest', + 'SetDefaultProcessorVersionResponse', + 'TrainProcessorVersionMetadata', + 'TrainProcessorVersionRequest', + 'TrainProcessorVersionResponse', + 'UndeployProcessorVersionMetadata', + 'UndeployProcessorVersionRequest', + 'UndeployProcessorVersionResponse', + 'DocumentSchema', + 'EntityTypeMetadata', + 'FieldExtractionMetadata', + 'PropertyMetadata', + 'SummaryOptions', + 'BatchDeleteDocumentsMetadata', + 'BatchDeleteDocumentsRequest', + 'BatchDeleteDocumentsResponse', + 'DocumentMetadata', + 'DocumentPageRange', + 'GetDatasetSchemaRequest', + 'GetDocumentRequest', + 'GetDocumentResponse', + 'ImportDocumentsMetadata', + 'ImportDocumentsRequest', + 'ImportDocumentsResponse', + 'ListDocumentsRequest', + 'ListDocumentsResponse', + 'UpdateDatasetOperationMetadata', + 'UpdateDatasetRequest', + 'UpdateDatasetSchemaRequest', + 'DatasetSplitType', + 'DocumentLabelingState', + 'Evaluation', + 'EvaluationReference', + 'BoundingPoly', + 'NormalizedVertex', + 'Vertex', + 'CommonOperationMetadata', + 'Processor', + 'ProcessorVersion', + 'ProcessorVersionAlias', + 'ProcessorType', +) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/types/barcode.py b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/types/barcode.py new file mode 100644 index 000000000000..adf4e74d6d0e --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/types/barcode.py @@ -0,0 +1,87 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from __future__ import annotations + +from typing import MutableMapping, MutableSequence + +import proto # type: ignore + + +__protobuf__ = proto.module( + package='google.cloud.documentai.v1beta3', + manifest={ + 'Barcode', + }, +) + + +class Barcode(proto.Message): + r"""Encodes the detailed information of a barcode. + + Attributes: + format_ (str): + Format of a barcode. The supported formats are: + + - ``CODE_128``: Code 128 type. + - ``CODE_39``: Code 39 type. + - ``CODE_93``: Code 93 type. + - ``CODABAR``: Codabar type. + - ``DATA_MATRIX``: 2D Data Matrix type. + - ``ITF``: ITF type. + - ``EAN_13``: EAN-13 type. + - ``EAN_8``: EAN-8 type. + - ``QR_CODE``: 2D QR code type. + - ``UPC_A``: UPC-A type. + - ``UPC_E``: UPC-E type. + - ``PDF417``: PDF417 type. + - ``AZTEC``: 2D Aztec code type. + - ``DATABAR``: GS1 DataBar code type. + value_format (str): + Value format describes the format of the value that a + barcode encodes. The supported formats are: + + - ``CONTACT_INFO``: Contact information. + - ``EMAIL``: Email address. + - ``ISBN``: ISBN identifier. + - ``PHONE``: Phone number. + - ``PRODUCT``: Product. + - ``SMS``: SMS message. + - ``TEXT``: Text string. + - ``URL``: URL address. + - ``WIFI``: Wifi information. + - ``GEO``: Geo-localization. + - ``CALENDAR_EVENT``: Calendar event. + - ``DRIVER_LICENSE``: Driver's license. + raw_value (str): + Raw value encoded in the barcode. For example: + ``'MEBKM:TITLE:Google;URL:https://www.google.com;;'``. + """ + + format_: str = proto.Field( + proto.STRING, + number=1, + ) + value_format: str = proto.Field( + proto.STRING, + number=2, + ) + raw_value: str = proto.Field( + proto.STRING, + number=3, + ) + + +__all__ = tuple(sorted(__protobuf__.manifest)) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/types/dataset.py b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/types/dataset.py new file mode 100644 index 000000000000..a07160a5ec8c --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/types/dataset.py @@ -0,0 +1,338 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from __future__ import annotations + +from typing import MutableMapping, MutableSequence + +import proto # type: ignore + +from google.cloud.documentai_v1beta3.types import document +from google.cloud.documentai_v1beta3.types import document_io +from google.cloud.documentai_v1beta3.types import document_schema as gcd_document_schema + + +__protobuf__ = proto.module( + package='google.cloud.documentai.v1beta3', + manifest={ + 'Dataset', + 'DocumentId', + 'DatasetSchema', + 'BatchDatasetDocuments', + }, +) + + +class Dataset(proto.Message): + r"""A singleton resource under a + [Processor][google.cloud.documentai.v1beta3.Processor] which + configures a collection of documents. + + This message has `oneof`_ fields (mutually exclusive fields). + For each oneof, at most one member field can be set at the same time. + Setting any member of the oneof automatically clears all other + members. + + .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields + + Attributes: + gcs_managed_config (google.cloud.documentai_v1beta3.types.Dataset.GCSManagedConfig): + Optional. User-managed Cloud Storage dataset + configuration. Use this configuration if the + dataset documents are stored under a + user-managed Cloud Storage location. + + This field is a member of `oneof`_ ``storage_source``. + document_warehouse_config (google.cloud.documentai_v1beta3.types.Dataset.DocumentWarehouseConfig): + Optional. Deprecated. Warehouse-based dataset + configuration is not supported. + + This field is a member of `oneof`_ ``storage_source``. + unmanaged_dataset_config (google.cloud.documentai_v1beta3.types.Dataset.UnmanagedDatasetConfig): + Optional. Unmanaged dataset configuration. + Use this configuration if the dataset documents + are managed by the document service internally + (not user-managed). + + This field is a member of `oneof`_ ``storage_source``. + spanner_indexing_config (google.cloud.documentai_v1beta3.types.Dataset.SpannerIndexingConfig): + Optional. A lightweight indexing source with + low latency and high reliability, but lacking + advanced features like CMEK and content-based + search. + + This field is a member of `oneof`_ ``indexing_source``. + name (str): + Dataset resource name. Format: + ``projects/{project}/locations/{location}/processors/{processor}/dataset`` + state (google.cloud.documentai_v1beta3.types.Dataset.State): + Required. State of the dataset. Ignored when + updating dataset. + """ + class State(proto.Enum): + r"""Different states of a dataset. + + Values: + STATE_UNSPECIFIED (0): + Default unspecified enum, should not be used. + UNINITIALIZED (1): + Dataset has not been initialized. + INITIALIZING (2): + Dataset is being initialized. + INITIALIZED (3): + Dataset has been initialized. + """ + STATE_UNSPECIFIED = 0 + UNINITIALIZED = 1 + INITIALIZING = 2 + INITIALIZED = 3 + + class GCSManagedConfig(proto.Message): + r"""Configuration specific to the Cloud Storage-based + implementation. + + Attributes: + gcs_prefix (google.cloud.documentai_v1beta3.types.GcsPrefix): + Required. The Cloud Storage URI (a directory) + where the documents belonging to the dataset + must be stored. + """ + + gcs_prefix: document_io.GcsPrefix = proto.Field( + proto.MESSAGE, + number=1, + message=document_io.GcsPrefix, + ) + + class DocumentWarehouseConfig(proto.Message): + r"""Configuration specific to the Document AI Warehouse-based + implementation. + + Attributes: + collection (str): + Output only. The collection in Document AI + Warehouse associated with the dataset. + schema (str): + Output only. The schema in Document AI + Warehouse associated with the dataset. + """ + + collection: str = proto.Field( + proto.STRING, + number=1, + ) + schema: str = proto.Field( + proto.STRING, + number=2, + ) + + class UnmanagedDatasetConfig(proto.Message): + r"""Configuration specific to an unmanaged dataset. + """ + + class SpannerIndexingConfig(proto.Message): + r"""Configuration specific to spanner-based indexing. + """ + + gcs_managed_config: GCSManagedConfig = proto.Field( + proto.MESSAGE, + number=3, + oneof='storage_source', + message=GCSManagedConfig, + ) + document_warehouse_config: DocumentWarehouseConfig = proto.Field( + proto.MESSAGE, + number=5, + oneof='storage_source', + message=DocumentWarehouseConfig, + ) + unmanaged_dataset_config: UnmanagedDatasetConfig = proto.Field( + proto.MESSAGE, + number=6, + oneof='storage_source', + message=UnmanagedDatasetConfig, + ) + spanner_indexing_config: SpannerIndexingConfig = proto.Field( + proto.MESSAGE, + number=4, + oneof='indexing_source', + message=SpannerIndexingConfig, + ) + name: str = proto.Field( + proto.STRING, + number=1, + ) + state: State = proto.Field( + proto.ENUM, + number=2, + enum=State, + ) + + +class DocumentId(proto.Message): + r"""Document Identifier. + + This message has `oneof`_ fields (mutually exclusive fields). + For each oneof, at most one member field can be set at the same time. + Setting any member of the oneof automatically clears all other + members. + + .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields + + Attributes: + gcs_managed_doc_id (google.cloud.documentai_v1beta3.types.DocumentId.GCSManagedDocumentId): + A document id within user-managed Cloud + Storage. + + This field is a member of `oneof`_ ``type``. + unmanaged_doc_id (google.cloud.documentai_v1beta3.types.DocumentId.UnmanagedDocumentId): + A document id within unmanaged dataset. + + This field is a member of `oneof`_ ``type``. + revision_ref (google.cloud.documentai_v1beta3.types.RevisionRef): + Points to a specific revision of the document + if set. + """ + + class GCSManagedDocumentId(proto.Message): + r"""Identifies a document uniquely within the scope of a dataset + in the user-managed Cloud Storage option. + + Attributes: + gcs_uri (str): + Required. The Cloud Storage URI where the + actual document is stored. + cw_doc_id (str): + Id of the document (indexed) managed by + Content Warehouse. + """ + + gcs_uri: str = proto.Field( + proto.STRING, + number=1, + ) + cw_doc_id: str = proto.Field( + proto.STRING, + number=2, + ) + + class UnmanagedDocumentId(proto.Message): + r"""Identifies a document uniquely within the scope of a dataset + in unmanaged option. + + Attributes: + doc_id (str): + Required. The id of the document. + """ + + doc_id: str = proto.Field( + proto.STRING, + number=1, + ) + + gcs_managed_doc_id: GCSManagedDocumentId = proto.Field( + proto.MESSAGE, + number=1, + oneof='type', + message=GCSManagedDocumentId, + ) + unmanaged_doc_id: UnmanagedDocumentId = proto.Field( + proto.MESSAGE, + number=4, + oneof='type', + message=UnmanagedDocumentId, + ) + revision_ref: document.RevisionRef = proto.Field( + proto.MESSAGE, + number=3, + message=document.RevisionRef, + ) + + +class DatasetSchema(proto.Message): + r"""Dataset Schema. + + Attributes: + name (str): + Dataset schema resource name. Format: + ``projects/{project}/locations/{location}/processors/{processor}/dataset/datasetSchema`` + document_schema (google.cloud.documentai_v1beta3.types.DocumentSchema): + Optional. Schema of the dataset. + """ + + name: str = proto.Field( + proto.STRING, + number=1, + ) + document_schema: gcd_document_schema.DocumentSchema = proto.Field( + proto.MESSAGE, + number=3, + message=gcd_document_schema.DocumentSchema, + ) + + +class BatchDatasetDocuments(proto.Message): + r"""Dataset documents that the batch operation will be applied + to. + + This message has `oneof`_ fields (mutually exclusive fields). + For each oneof, at most one member field can be set at the same time. + Setting any member of the oneof automatically clears all other + members. + + .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields + + Attributes: + individual_document_ids (google.cloud.documentai_v1beta3.types.BatchDatasetDocuments.IndividualDocumentIds): + Document identifiers. + + This field is a member of `oneof`_ ``criteria``. + filter (str): + A filter matching the documents. Follows the same format and + restriction as + [google.cloud.documentai.master.ListDocumentsRequest.filter]. + + This field is a member of `oneof`_ ``criteria``. + """ + + class IndividualDocumentIds(proto.Message): + r"""List of individual DocumentIds. + + Attributes: + document_ids (MutableSequence[google.cloud.documentai_v1beta3.types.DocumentId]): + Required. List of Document IDs indicating + where the actual documents are stored. + """ + + document_ids: MutableSequence['DocumentId'] = proto.RepeatedField( + proto.MESSAGE, + number=1, + message='DocumentId', + ) + + individual_document_ids: IndividualDocumentIds = proto.Field( + proto.MESSAGE, + number=1, + oneof='criteria', + message=IndividualDocumentIds, + ) + filter: str = proto.Field( + proto.STRING, + number=2, + oneof='criteria', + ) + + +__all__ = tuple(sorted(__protobuf__.manifest)) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/types/document.py b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/types/document.py new file mode 100644 index 000000000000..cd699baefa50 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/types/document.py @@ -0,0 +1,1899 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from __future__ import annotations + +from typing import MutableMapping, MutableSequence + +import proto # type: ignore + +from google.cloud.documentai_v1beta3.types import barcode as gcd_barcode +from google.cloud.documentai_v1beta3.types import geometry +from google.protobuf import timestamp_pb2 # type: ignore +from google.rpc import status_pb2 # type: ignore +from google.type import color_pb2 # type: ignore +from google.type import date_pb2 # type: ignore +from google.type import datetime_pb2 # type: ignore +from google.type import money_pb2 # type: ignore +from google.type import postal_address_pb2 # type: ignore + + +__protobuf__ = proto.module( + package='google.cloud.documentai.v1beta3', + manifest={ + 'Document', + 'RevisionRef', + }, +) + + +class Document(proto.Message): + r"""Document represents the canonical document resource in + Document AI. It is an interchange format that provides insights + into documents and allows for collaboration between users and + Document AI to iterate and optimize for quality. + + This message has `oneof`_ fields (mutually exclusive fields). + For each oneof, at most one member field can be set at the same time. + Setting any member of the oneof automatically clears all other + members. + + .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields + + Attributes: + uri (str): + Optional. Currently supports Google Cloud Storage URI of the + form ``gs://bucket_name/object_name``. Object versioning is + not supported. For more information, refer to `Google Cloud + Storage Request + URIs `__. + + This field is a member of `oneof`_ ``source``. + content (bytes): + Optional. Inline document content, represented as a stream + of bytes. Note: As with all ``bytes`` fields, protobuffers + use a pure binary representation, whereas JSON + representations use base64. + + This field is a member of `oneof`_ ``source``. + mime_type (str): + An IANA published `media type (MIME + type) `__. + text (str): + Optional. UTF-8 encoded text in reading order + from the document. + text_styles (MutableSequence[google.cloud.documentai_v1beta3.types.Document.Style]): + Styles for the + [Document.text][google.cloud.documentai.v1beta3.Document.text]. + pages (MutableSequence[google.cloud.documentai_v1beta3.types.Document.Page]): + Visual page layout for the + [Document][google.cloud.documentai.v1beta3.Document]. + entities (MutableSequence[google.cloud.documentai_v1beta3.types.Document.Entity]): + A list of entities detected on + [Document.text][google.cloud.documentai.v1beta3.Document.text]. + For document shards, entities in this list may cross shard + boundaries. + entity_relations (MutableSequence[google.cloud.documentai_v1beta3.types.Document.EntityRelation]): + Placeholder. Relationship among + [Document.entities][google.cloud.documentai.v1beta3.Document.entities]. + text_changes (MutableSequence[google.cloud.documentai_v1beta3.types.Document.TextChange]): + Placeholder. A list of text corrections made to + [Document.text][google.cloud.documentai.v1beta3.Document.text]. + This is usually used for annotating corrections to OCR + mistakes. Text changes for a given revision may not overlap + with each other. + shard_info (google.cloud.documentai_v1beta3.types.Document.ShardInfo): + Information about the sharding if this + document is sharded part of a larger document. + If the document is not sharded, this message is + not specified. + error (google.rpc.status_pb2.Status): + Any error that occurred while processing this + document. + revisions (MutableSequence[google.cloud.documentai_v1beta3.types.Document.Revision]): + Placeholder. Revision history of this + document. + """ + + class ShardInfo(proto.Message): + r"""For a large document, sharding may be performed to produce + several document shards. Each document shard contains this field + to detail which shard it is. + + Attributes: + shard_index (int): + The 0-based index of this shard. + shard_count (int): + Total number of shards. + text_offset (int): + The index of the first character in + [Document.text][google.cloud.documentai.v1beta3.Document.text] + in the overall document global text. + """ + + shard_index: int = proto.Field( + proto.INT64, + number=1, + ) + shard_count: int = proto.Field( + proto.INT64, + number=2, + ) + text_offset: int = proto.Field( + proto.INT64, + number=3, + ) + + class Style(proto.Message): + r"""Annotation for common text style attributes. This adheres to + CSS conventions as much as possible. + + Attributes: + text_anchor (google.cloud.documentai_v1beta3.types.Document.TextAnchor): + Text anchor indexing into the + [Document.text][google.cloud.documentai.v1beta3.Document.text]. + color (google.type.color_pb2.Color): + Text color. + background_color (google.type.color_pb2.Color): + Text background color. + font_weight (str): + `Font + weight `__. + Possible values are ``normal``, ``bold``, ``bolder``, and + ``lighter``. + text_style (str): + `Text + style `__. + Possible values are ``normal``, ``italic``, and ``oblique``. + text_decoration (str): + `Text + decoration `__. + Follows CSS standard. + font_size (google.cloud.documentai_v1beta3.types.Document.Style.FontSize): + Font size. + font_family (str): + Font family such as ``Arial``, ``Times New Roman``. + https://www.w3schools.com/cssref/pr_font_font-family.asp + """ + + class FontSize(proto.Message): + r"""Font size with unit. + + Attributes: + size (float): + Font size for the text. + unit (str): + Unit for the font size. Follows CSS naming (such as ``in``, + ``px``, and ``pt``). + """ + + size: float = proto.Field( + proto.FLOAT, + number=1, + ) + unit: str = proto.Field( + proto.STRING, + number=2, + ) + + text_anchor: 'Document.TextAnchor' = proto.Field( + proto.MESSAGE, + number=1, + message='Document.TextAnchor', + ) + color: color_pb2.Color = proto.Field( + proto.MESSAGE, + number=2, + message=color_pb2.Color, + ) + background_color: color_pb2.Color = proto.Field( + proto.MESSAGE, + number=3, + message=color_pb2.Color, + ) + font_weight: str = proto.Field( + proto.STRING, + number=4, + ) + text_style: str = proto.Field( + proto.STRING, + number=5, + ) + text_decoration: str = proto.Field( + proto.STRING, + number=6, + ) + font_size: 'Document.Style.FontSize' = proto.Field( + proto.MESSAGE, + number=7, + message='Document.Style.FontSize', + ) + font_family: str = proto.Field( + proto.STRING, + number=8, + ) + + class Page(proto.Message): + r"""A page in a [Document][google.cloud.documentai.v1beta3.Document]. + + Attributes: + page_number (int): + 1-based index for current + [Page][google.cloud.documentai.v1beta3.Document.Page] in a + parent [Document][google.cloud.documentai.v1beta3.Document]. + Useful when a page is taken out of a + [Document][google.cloud.documentai.v1beta3.Document] for + individual processing. + image (google.cloud.documentai_v1beta3.types.Document.Page.Image): + Rendered image for this page. This image is + preprocessed to remove any skew, rotation, and + distortions such that the annotation bounding + boxes can be upright and axis-aligned. + transforms (MutableSequence[google.cloud.documentai_v1beta3.types.Document.Page.Matrix]): + Transformation matrices that were applied to the original + document image to produce + [Page.image][google.cloud.documentai.v1beta3.Document.Page.image]. + dimension (google.cloud.documentai_v1beta3.types.Document.Page.Dimension): + Physical dimension of the page. + layout (google.cloud.documentai_v1beta3.types.Document.Page.Layout): + [Layout][google.cloud.documentai.v1beta3.Document.Page.Layout] + for the page. + detected_languages (MutableSequence[google.cloud.documentai_v1beta3.types.Document.Page.DetectedLanguage]): + A list of detected languages together with + confidence. + blocks (MutableSequence[google.cloud.documentai_v1beta3.types.Document.Page.Block]): + A list of visually detected text blocks on + the page. A block has a set of lines (collected + into paragraphs) that have a common line-spacing + and orientation. + paragraphs (MutableSequence[google.cloud.documentai_v1beta3.types.Document.Page.Paragraph]): + A list of visually detected text paragraphs + on the page. A collection of lines that a human + would perceive as a paragraph. + lines (MutableSequence[google.cloud.documentai_v1beta3.types.Document.Page.Line]): + A list of visually detected text lines on the + page. A collection of tokens that a human would + perceive as a line. + tokens (MutableSequence[google.cloud.documentai_v1beta3.types.Document.Page.Token]): + A list of visually detected tokens on the + page. + visual_elements (MutableSequence[google.cloud.documentai_v1beta3.types.Document.Page.VisualElement]): + A list of detected non-text visual elements + e.g. checkbox, signature etc. on the page. + tables (MutableSequence[google.cloud.documentai_v1beta3.types.Document.Page.Table]): + A list of visually detected tables on the + page. + form_fields (MutableSequence[google.cloud.documentai_v1beta3.types.Document.Page.FormField]): + A list of visually detected form fields on + the page. + symbols (MutableSequence[google.cloud.documentai_v1beta3.types.Document.Page.Symbol]): + A list of visually detected symbols on the + page. + detected_barcodes (MutableSequence[google.cloud.documentai_v1beta3.types.Document.Page.DetectedBarcode]): + A list of detected barcodes. + image_quality_scores (google.cloud.documentai_v1beta3.types.Document.Page.ImageQualityScores): + Image quality scores. + provenance (google.cloud.documentai_v1beta3.types.Document.Provenance): + The history of this page. + """ + + class Dimension(proto.Message): + r"""Dimension for the page. + + Attributes: + width (float): + Page width. + height (float): + Page height. + unit (str): + Dimension unit. + """ + + width: float = proto.Field( + proto.FLOAT, + number=1, + ) + height: float = proto.Field( + proto.FLOAT, + number=2, + ) + unit: str = proto.Field( + proto.STRING, + number=3, + ) + + class Image(proto.Message): + r"""Rendered image contents for this page. + + Attributes: + content (bytes): + Raw byte content of the image. + mime_type (str): + Encoding `media type (MIME + type) `__ + for the image. + width (int): + Width of the image in pixels. + height (int): + Height of the image in pixels. + """ + + content: bytes = proto.Field( + proto.BYTES, + number=1, + ) + mime_type: str = proto.Field( + proto.STRING, + number=2, + ) + width: int = proto.Field( + proto.INT32, + number=3, + ) + height: int = proto.Field( + proto.INT32, + number=4, + ) + + class Matrix(proto.Message): + r"""Representation for transformation matrix, intended to be + compatible and used with OpenCV format for image manipulation. + + Attributes: + rows (int): + Number of rows in the matrix. + cols (int): + Number of columns in the matrix. + type_ (int): + This encodes information about what data type the matrix + uses. For example, 0 (CV_8U) is an unsigned 8-bit image. For + the full list of OpenCV primitive data types, please refer + to + https://docs.opencv.org/4.3.0/d1/d1b/group__core__hal__interface.html + data (bytes): + The matrix data. + """ + + rows: int = proto.Field( + proto.INT32, + number=1, + ) + cols: int = proto.Field( + proto.INT32, + number=2, + ) + type_: int = proto.Field( + proto.INT32, + number=3, + ) + data: bytes = proto.Field( + proto.BYTES, + number=4, + ) + + class Layout(proto.Message): + r"""Visual element describing a layout unit on a page. + + Attributes: + text_anchor (google.cloud.documentai_v1beta3.types.Document.TextAnchor): + Text anchor indexing into the + [Document.text][google.cloud.documentai.v1beta3.Document.text]. + confidence (float): + Confidence of the current + [Layout][google.cloud.documentai.v1beta3.Document.Page.Layout] + within context of the object this layout is for. e.g. + confidence can be for a single token, a table, a visual + element, etc. depending on context. Range ``[0, 1]``. + bounding_poly (google.cloud.documentai_v1beta3.types.BoundingPoly): + The bounding polygon for the + [Layout][google.cloud.documentai.v1beta3.Document.Page.Layout]. + orientation (google.cloud.documentai_v1beta3.types.Document.Page.Layout.Orientation): + Detected orientation for the + [Layout][google.cloud.documentai.v1beta3.Document.Page.Layout]. + """ + class Orientation(proto.Enum): + r"""Detected human reading orientation. + + Values: + ORIENTATION_UNSPECIFIED (0): + Unspecified orientation. + PAGE_UP (1): + Orientation is aligned with page up. + PAGE_RIGHT (2): + Orientation is aligned with page right. + Turn the head 90 degrees clockwise from upright + to read. + PAGE_DOWN (3): + Orientation is aligned with page down. + Turn the head 180 degrees from upright to read. + PAGE_LEFT (4): + Orientation is aligned with page left. + Turn the head 90 degrees counterclockwise from + upright to read. + """ + ORIENTATION_UNSPECIFIED = 0 + PAGE_UP = 1 + PAGE_RIGHT = 2 + PAGE_DOWN = 3 + PAGE_LEFT = 4 + + text_anchor: 'Document.TextAnchor' = proto.Field( + proto.MESSAGE, + number=1, + message='Document.TextAnchor', + ) + confidence: float = proto.Field( + proto.FLOAT, + number=2, + ) + bounding_poly: geometry.BoundingPoly = proto.Field( + proto.MESSAGE, + number=3, + message=geometry.BoundingPoly, + ) + orientation: 'Document.Page.Layout.Orientation' = proto.Field( + proto.ENUM, + number=4, + enum='Document.Page.Layout.Orientation', + ) + + class Block(proto.Message): + r"""A block has a set of lines (collected into paragraphs) that + have a common line-spacing and orientation. + + Attributes: + layout (google.cloud.documentai_v1beta3.types.Document.Page.Layout): + [Layout][google.cloud.documentai.v1beta3.Document.Page.Layout] + for + [Block][google.cloud.documentai.v1beta3.Document.Page.Block]. + detected_languages (MutableSequence[google.cloud.documentai_v1beta3.types.Document.Page.DetectedLanguage]): + A list of detected languages together with + confidence. + provenance (google.cloud.documentai_v1beta3.types.Document.Provenance): + The history of this annotation. + """ + + layout: 'Document.Page.Layout' = proto.Field( + proto.MESSAGE, + number=1, + message='Document.Page.Layout', + ) + detected_languages: MutableSequence['Document.Page.DetectedLanguage'] = proto.RepeatedField( + proto.MESSAGE, + number=2, + message='Document.Page.DetectedLanguage', + ) + provenance: 'Document.Provenance' = proto.Field( + proto.MESSAGE, + number=3, + message='Document.Provenance', + ) + + class Paragraph(proto.Message): + r"""A collection of lines that a human would perceive as a + paragraph. + + Attributes: + layout (google.cloud.documentai_v1beta3.types.Document.Page.Layout): + [Layout][google.cloud.documentai.v1beta3.Document.Page.Layout] + for + [Paragraph][google.cloud.documentai.v1beta3.Document.Page.Paragraph]. + detected_languages (MutableSequence[google.cloud.documentai_v1beta3.types.Document.Page.DetectedLanguage]): + A list of detected languages together with + confidence. + provenance (google.cloud.documentai_v1beta3.types.Document.Provenance): + The history of this annotation. + """ + + layout: 'Document.Page.Layout' = proto.Field( + proto.MESSAGE, + number=1, + message='Document.Page.Layout', + ) + detected_languages: MutableSequence['Document.Page.DetectedLanguage'] = proto.RepeatedField( + proto.MESSAGE, + number=2, + message='Document.Page.DetectedLanguage', + ) + provenance: 'Document.Provenance' = proto.Field( + proto.MESSAGE, + number=3, + message='Document.Provenance', + ) + + class Line(proto.Message): + r"""A collection of tokens that a human would perceive as a line. + Does not cross column boundaries, can be horizontal, vertical, + etc. + + Attributes: + layout (google.cloud.documentai_v1beta3.types.Document.Page.Layout): + [Layout][google.cloud.documentai.v1beta3.Document.Page.Layout] + for + [Line][google.cloud.documentai.v1beta3.Document.Page.Line]. + detected_languages (MutableSequence[google.cloud.documentai_v1beta3.types.Document.Page.DetectedLanguage]): + A list of detected languages together with + confidence. + provenance (google.cloud.documentai_v1beta3.types.Document.Provenance): + The history of this annotation. + """ + + layout: 'Document.Page.Layout' = proto.Field( + proto.MESSAGE, + number=1, + message='Document.Page.Layout', + ) + detected_languages: MutableSequence['Document.Page.DetectedLanguage'] = proto.RepeatedField( + proto.MESSAGE, + number=2, + message='Document.Page.DetectedLanguage', + ) + provenance: 'Document.Provenance' = proto.Field( + proto.MESSAGE, + number=3, + message='Document.Provenance', + ) + + class Token(proto.Message): + r"""A detected token. + + Attributes: + layout (google.cloud.documentai_v1beta3.types.Document.Page.Layout): + [Layout][google.cloud.documentai.v1beta3.Document.Page.Layout] + for + [Token][google.cloud.documentai.v1beta3.Document.Page.Token]. + detected_break (google.cloud.documentai_v1beta3.types.Document.Page.Token.DetectedBreak): + Detected break at the end of a + [Token][google.cloud.documentai.v1beta3.Document.Page.Token]. + detected_languages (MutableSequence[google.cloud.documentai_v1beta3.types.Document.Page.DetectedLanguage]): + A list of detected languages together with + confidence. + provenance (google.cloud.documentai_v1beta3.types.Document.Provenance): + The history of this annotation. + style_info (google.cloud.documentai_v1beta3.types.Document.Page.Token.StyleInfo): + Text style attributes. + """ + + class DetectedBreak(proto.Message): + r"""Detected break at the end of a + [Token][google.cloud.documentai.v1beta3.Document.Page.Token]. + + Attributes: + type_ (google.cloud.documentai_v1beta3.types.Document.Page.Token.DetectedBreak.Type): + Detected break type. + """ + class Type(proto.Enum): + r"""Enum to denote the type of break found. + + Values: + TYPE_UNSPECIFIED (0): + Unspecified break type. + SPACE (1): + A single whitespace. + WIDE_SPACE (2): + A wider whitespace. + HYPHEN (3): + A hyphen that indicates that a token has been + split across lines. + """ + TYPE_UNSPECIFIED = 0 + SPACE = 1 + WIDE_SPACE = 2 + HYPHEN = 3 + + type_: 'Document.Page.Token.DetectedBreak.Type' = proto.Field( + proto.ENUM, + number=1, + enum='Document.Page.Token.DetectedBreak.Type', + ) + + class StyleInfo(proto.Message): + r"""Font and other text style attributes. + + Attributes: + font_size (int): + Font size in points (``1`` point is ``¹⁄₇₂`` inches). + pixel_font_size (float): + Font size in pixels, equal to *unrounded + [font_size][google.cloud.documentai.v1beta3.Document.Page.Token.StyleInfo.font_size]* + + - *resolution* ÷ ``72.0``. + letter_spacing (float): + Letter spacing in points. + font_type (str): + Name or style of the font. + bold (bool): + Whether the text is bold (equivalent to + [font_weight][google.cloud.documentai.v1beta3.Document.Page.Token.StyleInfo.font_weight] + is at least ``700``). + italic (bool): + Whether the text is italic. + underlined (bool): + Whether the text is underlined. + strikeout (bool): + Whether the text is strikethrough. + subscript (bool): + Whether the text is a subscript. + superscript (bool): + Whether the text is a superscript. + smallcaps (bool): + Whether the text is in small caps. + font_weight (int): + TrueType weight on a scale ``100`` (thin) to ``1000`` + (ultra-heavy). Normal is ``400``, bold is ``700``. + handwritten (bool): + Whether the text is handwritten. + text_color (google.type.color_pb2.Color): + Color of the text. + background_color (google.type.color_pb2.Color): + Color of the background. + """ + + font_size: int = proto.Field( + proto.INT32, + number=1, + ) + pixel_font_size: float = proto.Field( + proto.DOUBLE, + number=2, + ) + letter_spacing: float = proto.Field( + proto.DOUBLE, + number=3, + ) + font_type: str = proto.Field( + proto.STRING, + number=4, + ) + bold: bool = proto.Field( + proto.BOOL, + number=5, + ) + italic: bool = proto.Field( + proto.BOOL, + number=6, + ) + underlined: bool = proto.Field( + proto.BOOL, + number=7, + ) + strikeout: bool = proto.Field( + proto.BOOL, + number=8, + ) + subscript: bool = proto.Field( + proto.BOOL, + number=9, + ) + superscript: bool = proto.Field( + proto.BOOL, + number=10, + ) + smallcaps: bool = proto.Field( + proto.BOOL, + number=11, + ) + font_weight: int = proto.Field( + proto.INT32, + number=12, + ) + handwritten: bool = proto.Field( + proto.BOOL, + number=13, + ) + text_color: color_pb2.Color = proto.Field( + proto.MESSAGE, + number=14, + message=color_pb2.Color, + ) + background_color: color_pb2.Color = proto.Field( + proto.MESSAGE, + number=15, + message=color_pb2.Color, + ) + + layout: 'Document.Page.Layout' = proto.Field( + proto.MESSAGE, + number=1, + message='Document.Page.Layout', + ) + detected_break: 'Document.Page.Token.DetectedBreak' = proto.Field( + proto.MESSAGE, + number=2, + message='Document.Page.Token.DetectedBreak', + ) + detected_languages: MutableSequence['Document.Page.DetectedLanguage'] = proto.RepeatedField( + proto.MESSAGE, + number=3, + message='Document.Page.DetectedLanguage', + ) + provenance: 'Document.Provenance' = proto.Field( + proto.MESSAGE, + number=4, + message='Document.Provenance', + ) + style_info: 'Document.Page.Token.StyleInfo' = proto.Field( + proto.MESSAGE, + number=5, + message='Document.Page.Token.StyleInfo', + ) + + class Symbol(proto.Message): + r"""A detected symbol. + + Attributes: + layout (google.cloud.documentai_v1beta3.types.Document.Page.Layout): + [Layout][google.cloud.documentai.v1beta3.Document.Page.Layout] + for + [Symbol][google.cloud.documentai.v1beta3.Document.Page.Symbol]. + detected_languages (MutableSequence[google.cloud.documentai_v1beta3.types.Document.Page.DetectedLanguage]): + A list of detected languages together with + confidence. + """ + + layout: 'Document.Page.Layout' = proto.Field( + proto.MESSAGE, + number=1, + message='Document.Page.Layout', + ) + detected_languages: MutableSequence['Document.Page.DetectedLanguage'] = proto.RepeatedField( + proto.MESSAGE, + number=2, + message='Document.Page.DetectedLanguage', + ) + + class VisualElement(proto.Message): + r"""Detected non-text visual elements e.g. checkbox, signature + etc. on the page. + + Attributes: + layout (google.cloud.documentai_v1beta3.types.Document.Page.Layout): + [Layout][google.cloud.documentai.v1beta3.Document.Page.Layout] + for + [VisualElement][google.cloud.documentai.v1beta3.Document.Page.VisualElement]. + type_ (str): + Type of the + [VisualElement][google.cloud.documentai.v1beta3.Document.Page.VisualElement]. + detected_languages (MutableSequence[google.cloud.documentai_v1beta3.types.Document.Page.DetectedLanguage]): + A list of detected languages together with + confidence. + """ + + layout: 'Document.Page.Layout' = proto.Field( + proto.MESSAGE, + number=1, + message='Document.Page.Layout', + ) + type_: str = proto.Field( + proto.STRING, + number=2, + ) + detected_languages: MutableSequence['Document.Page.DetectedLanguage'] = proto.RepeatedField( + proto.MESSAGE, + number=3, + message='Document.Page.DetectedLanguage', + ) + + class Table(proto.Message): + r"""A table representation similar to HTML table structure. + + Attributes: + layout (google.cloud.documentai_v1beta3.types.Document.Page.Layout): + [Layout][google.cloud.documentai.v1beta3.Document.Page.Layout] + for + [Table][google.cloud.documentai.v1beta3.Document.Page.Table]. + header_rows (MutableSequence[google.cloud.documentai_v1beta3.types.Document.Page.Table.TableRow]): + Header rows of the table. + body_rows (MutableSequence[google.cloud.documentai_v1beta3.types.Document.Page.Table.TableRow]): + Body rows of the table. + detected_languages (MutableSequence[google.cloud.documentai_v1beta3.types.Document.Page.DetectedLanguage]): + A list of detected languages together with + confidence. + provenance (google.cloud.documentai_v1beta3.types.Document.Provenance): + The history of this table. + """ + + class TableRow(proto.Message): + r"""A row of table cells. + + Attributes: + cells (MutableSequence[google.cloud.documentai_v1beta3.types.Document.Page.Table.TableCell]): + Cells that make up this row. + """ + + cells: MutableSequence['Document.Page.Table.TableCell'] = proto.RepeatedField( + proto.MESSAGE, + number=1, + message='Document.Page.Table.TableCell', + ) + + class TableCell(proto.Message): + r"""A cell representation inside the table. + + Attributes: + layout (google.cloud.documentai_v1beta3.types.Document.Page.Layout): + [Layout][google.cloud.documentai.v1beta3.Document.Page.Layout] + for + [TableCell][google.cloud.documentai.v1beta3.Document.Page.Table.TableCell]. + row_span (int): + How many rows this cell spans. + col_span (int): + How many columns this cell spans. + detected_languages (MutableSequence[google.cloud.documentai_v1beta3.types.Document.Page.DetectedLanguage]): + A list of detected languages together with + confidence. + """ + + layout: 'Document.Page.Layout' = proto.Field( + proto.MESSAGE, + number=1, + message='Document.Page.Layout', + ) + row_span: int = proto.Field( + proto.INT32, + number=2, + ) + col_span: int = proto.Field( + proto.INT32, + number=3, + ) + detected_languages: MutableSequence['Document.Page.DetectedLanguage'] = proto.RepeatedField( + proto.MESSAGE, + number=4, + message='Document.Page.DetectedLanguage', + ) + + layout: 'Document.Page.Layout' = proto.Field( + proto.MESSAGE, + number=1, + message='Document.Page.Layout', + ) + header_rows: MutableSequence['Document.Page.Table.TableRow'] = proto.RepeatedField( + proto.MESSAGE, + number=2, + message='Document.Page.Table.TableRow', + ) + body_rows: MutableSequence['Document.Page.Table.TableRow'] = proto.RepeatedField( + proto.MESSAGE, + number=3, + message='Document.Page.Table.TableRow', + ) + detected_languages: MutableSequence['Document.Page.DetectedLanguage'] = proto.RepeatedField( + proto.MESSAGE, + number=4, + message='Document.Page.DetectedLanguage', + ) + provenance: 'Document.Provenance' = proto.Field( + proto.MESSAGE, + number=5, + message='Document.Provenance', + ) + + class FormField(proto.Message): + r"""A form field detected on the page. + + Attributes: + field_name (google.cloud.documentai_v1beta3.types.Document.Page.Layout): + [Layout][google.cloud.documentai.v1beta3.Document.Page.Layout] + for the + [FormField][google.cloud.documentai.v1beta3.Document.Page.FormField] + name. e.g. ``Address``, ``Email``, ``Grand total``, + ``Phone number``, etc. + field_value (google.cloud.documentai_v1beta3.types.Document.Page.Layout): + [Layout][google.cloud.documentai.v1beta3.Document.Page.Layout] + for the + [FormField][google.cloud.documentai.v1beta3.Document.Page.FormField] + value. + name_detected_languages (MutableSequence[google.cloud.documentai_v1beta3.types.Document.Page.DetectedLanguage]): + A list of detected languages for name + together with confidence. + value_detected_languages (MutableSequence[google.cloud.documentai_v1beta3.types.Document.Page.DetectedLanguage]): + A list of detected languages for value + together with confidence. + value_type (str): + If the value is non-textual, this field represents the type. + Current valid values are: + + - blank (this indicates the ``field_value`` is normal text) + - ``unfilled_checkbox`` + - ``filled_checkbox`` + corrected_key_text (str): + Created for Labeling UI to export key text. If corrections + were made to the text identified by the + ``field_name.text_anchor``, this field will contain the + correction. + corrected_value_text (str): + Created for Labeling UI to export value text. If corrections + were made to the text identified by the + ``field_value.text_anchor``, this field will contain the + correction. + provenance (google.cloud.documentai_v1beta3.types.Document.Provenance): + The history of this annotation. + """ + + field_name: 'Document.Page.Layout' = proto.Field( + proto.MESSAGE, + number=1, + message='Document.Page.Layout', + ) + field_value: 'Document.Page.Layout' = proto.Field( + proto.MESSAGE, + number=2, + message='Document.Page.Layout', + ) + name_detected_languages: MutableSequence['Document.Page.DetectedLanguage'] = proto.RepeatedField( + proto.MESSAGE, + number=3, + message='Document.Page.DetectedLanguage', + ) + value_detected_languages: MutableSequence['Document.Page.DetectedLanguage'] = proto.RepeatedField( + proto.MESSAGE, + number=4, + message='Document.Page.DetectedLanguage', + ) + value_type: str = proto.Field( + proto.STRING, + number=5, + ) + corrected_key_text: str = proto.Field( + proto.STRING, + number=6, + ) + corrected_value_text: str = proto.Field( + proto.STRING, + number=7, + ) + provenance: 'Document.Provenance' = proto.Field( + proto.MESSAGE, + number=8, + message='Document.Provenance', + ) + + class DetectedBarcode(proto.Message): + r"""A detected barcode. + + Attributes: + layout (google.cloud.documentai_v1beta3.types.Document.Page.Layout): + [Layout][google.cloud.documentai.v1beta3.Document.Page.Layout] + for + [DetectedBarcode][google.cloud.documentai.v1beta3.Document.Page.DetectedBarcode]. + barcode (google.cloud.documentai_v1beta3.types.Barcode): + Detailed barcode information of the + [DetectedBarcode][google.cloud.documentai.v1beta3.Document.Page.DetectedBarcode]. + """ + + layout: 'Document.Page.Layout' = proto.Field( + proto.MESSAGE, + number=1, + message='Document.Page.Layout', + ) + barcode: gcd_barcode.Barcode = proto.Field( + proto.MESSAGE, + number=2, + message=gcd_barcode.Barcode, + ) + + class DetectedLanguage(proto.Message): + r"""Detected language for a structural component. + + Attributes: + language_code (str): + The `BCP-47 language + code `__, + such as ``en-US`` or ``sr-Latn``. + confidence (float): + Confidence of detected language. Range ``[0, 1]``. + """ + + language_code: str = proto.Field( + proto.STRING, + number=1, + ) + confidence: float = proto.Field( + proto.FLOAT, + number=2, + ) + + class ImageQualityScores(proto.Message): + r"""Image quality scores for the page image. + + Attributes: + quality_score (float): + The overall quality score. Range ``[0, 1]`` where ``1`` is + perfect quality. + detected_defects (MutableSequence[google.cloud.documentai_v1beta3.types.Document.Page.ImageQualityScores.DetectedDefect]): + A list of detected defects. + """ + + class DetectedDefect(proto.Message): + r"""Image Quality Defects + + Attributes: + type_ (str): + Name of the defect type. Supported values are: + + - ``quality/defect_blurry`` + - ``quality/defect_noisy`` + - ``quality/defect_dark`` + - ``quality/defect_faint`` + - ``quality/defect_text_too_small`` + - ``quality/defect_document_cutoff`` + - ``quality/defect_text_cutoff`` + - ``quality/defect_glare`` + confidence (float): + Confidence of detected defect. Range ``[0, 1]`` where ``1`` + indicates strong confidence that the defect exists. + """ + + type_: str = proto.Field( + proto.STRING, + number=1, + ) + confidence: float = proto.Field( + proto.FLOAT, + number=2, + ) + + quality_score: float = proto.Field( + proto.FLOAT, + number=1, + ) + detected_defects: MutableSequence['Document.Page.ImageQualityScores.DetectedDefect'] = proto.RepeatedField( + proto.MESSAGE, + number=2, + message='Document.Page.ImageQualityScores.DetectedDefect', + ) + + page_number: int = proto.Field( + proto.INT32, + number=1, + ) + image: 'Document.Page.Image' = proto.Field( + proto.MESSAGE, + number=13, + message='Document.Page.Image', + ) + transforms: MutableSequence['Document.Page.Matrix'] = proto.RepeatedField( + proto.MESSAGE, + number=14, + message='Document.Page.Matrix', + ) + dimension: 'Document.Page.Dimension' = proto.Field( + proto.MESSAGE, + number=2, + message='Document.Page.Dimension', + ) + layout: 'Document.Page.Layout' = proto.Field( + proto.MESSAGE, + number=3, + message='Document.Page.Layout', + ) + detected_languages: MutableSequence['Document.Page.DetectedLanguage'] = proto.RepeatedField( + proto.MESSAGE, + number=4, + message='Document.Page.DetectedLanguage', + ) + blocks: MutableSequence['Document.Page.Block'] = proto.RepeatedField( + proto.MESSAGE, + number=5, + message='Document.Page.Block', + ) + paragraphs: MutableSequence['Document.Page.Paragraph'] = proto.RepeatedField( + proto.MESSAGE, + number=6, + message='Document.Page.Paragraph', + ) + lines: MutableSequence['Document.Page.Line'] = proto.RepeatedField( + proto.MESSAGE, + number=7, + message='Document.Page.Line', + ) + tokens: MutableSequence['Document.Page.Token'] = proto.RepeatedField( + proto.MESSAGE, + number=8, + message='Document.Page.Token', + ) + visual_elements: MutableSequence['Document.Page.VisualElement'] = proto.RepeatedField( + proto.MESSAGE, + number=9, + message='Document.Page.VisualElement', + ) + tables: MutableSequence['Document.Page.Table'] = proto.RepeatedField( + proto.MESSAGE, + number=10, + message='Document.Page.Table', + ) + form_fields: MutableSequence['Document.Page.FormField'] = proto.RepeatedField( + proto.MESSAGE, + number=11, + message='Document.Page.FormField', + ) + symbols: MutableSequence['Document.Page.Symbol'] = proto.RepeatedField( + proto.MESSAGE, + number=12, + message='Document.Page.Symbol', + ) + detected_barcodes: MutableSequence['Document.Page.DetectedBarcode'] = proto.RepeatedField( + proto.MESSAGE, + number=15, + message='Document.Page.DetectedBarcode', + ) + image_quality_scores: 'Document.Page.ImageQualityScores' = proto.Field( + proto.MESSAGE, + number=17, + message='Document.Page.ImageQualityScores', + ) + provenance: 'Document.Provenance' = proto.Field( + proto.MESSAGE, + number=16, + message='Document.Provenance', + ) + + class Entity(proto.Message): + r"""An entity that could be a phrase in the text or a property + that belongs to the document. It is a known entity type, such as + a person, an organization, or location. + + Attributes: + text_anchor (google.cloud.documentai_v1beta3.types.Document.TextAnchor): + Optional. Provenance of the entity. Text anchor indexing + into the + [Document.text][google.cloud.documentai.v1beta3.Document.text]. + type_ (str): + Required. Entity type from a schema e.g. ``Address``. + mention_text (str): + Optional. Text value of the entity e.g. + ``1600 Amphitheatre Pkwy``. + mention_id (str): + Optional. Deprecated. Use ``id`` field instead. + confidence (float): + Optional. Confidence of detected Schema entity. Range + ``[0, 1]``. + page_anchor (google.cloud.documentai_v1beta3.types.Document.PageAnchor): + Optional. Represents the provenance of this + entity wrt. the location on the page where it + was found. + id (str): + Optional. Canonical id. This will be a unique + value in the entity list for this document. + normalized_value (google.cloud.documentai_v1beta3.types.Document.Entity.NormalizedValue): + Optional. Normalized entity value. Absent if + the extracted value could not be converted or + the type (e.g. address) is not supported for + certain parsers. This field is also only + populated for certain supported document types. + properties (MutableSequence[google.cloud.documentai_v1beta3.types.Document.Entity]): + Optional. Entities can be nested to form a + hierarchical data structure representing the + content in the document. + provenance (google.cloud.documentai_v1beta3.types.Document.Provenance): + Optional. The history of this annotation. + redacted (bool): + Optional. Whether the entity will be redacted + for de-identification purposes. + """ + + class NormalizedValue(proto.Message): + r"""Parsed and normalized entity value. + + This message has `oneof`_ fields (mutually exclusive fields). + For each oneof, at most one member field can be set at the same time. + Setting any member of the oneof automatically clears all other + members. + + .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields + + Attributes: + money_value (google.type.money_pb2.Money): + Money value. See also: + + https://github.com/googleapis/googleapis/blob/master/google/type/money.proto + + This field is a member of `oneof`_ ``structured_value``. + date_value (google.type.date_pb2.Date): + Date value. Includes year, month, day. See + also: + https://github.com/googleapis/googleapis/blob/master/google/type/date.proto + + This field is a member of `oneof`_ ``structured_value``. + datetime_value (google.type.datetime_pb2.DateTime): + DateTime value. Includes date, time, and + timezone. See also: + https://github.com/googleapis/googleapis/blob/master/google/type/datetime.proto + + This field is a member of `oneof`_ ``structured_value``. + address_value (google.type.postal_address_pb2.PostalAddress): + Postal address. See also: + https://github.com/googleapis/googleapis/blob/master/google/type/postal_address.proto + + This field is a member of `oneof`_ ``structured_value``. + boolean_value (bool): + Boolean value. Can be used for entities with + binary values, or for checkboxes. + + This field is a member of `oneof`_ ``structured_value``. + integer_value (int): + Integer value. + + This field is a member of `oneof`_ ``structured_value``. + float_value (float): + Float value. + + This field is a member of `oneof`_ ``structured_value``. + text (str): + Optional. An optional field to store a normalized string. + For some entity types, one of respective + ``structured_value`` fields may also be populated. Also not + all the types of ``structured_value`` will be normalized. + For example, some processors may not generate ``float`` or + ``integer`` normalized text by default. + + Below are sample formats mapped to structured values. + + - Money/Currency type (``money_value``) is in the ISO 4217 + text format. + - Date type (``date_value``) is in the ISO 8601 text + format. + - Datetime type (``datetime_value``) is in the ISO 8601 + text format. + """ + + money_value: money_pb2.Money = proto.Field( + proto.MESSAGE, + number=2, + oneof='structured_value', + message=money_pb2.Money, + ) + date_value: date_pb2.Date = proto.Field( + proto.MESSAGE, + number=3, + oneof='structured_value', + message=date_pb2.Date, + ) + datetime_value: datetime_pb2.DateTime = proto.Field( + proto.MESSAGE, + number=4, + oneof='structured_value', + message=datetime_pb2.DateTime, + ) + address_value: postal_address_pb2.PostalAddress = proto.Field( + proto.MESSAGE, + number=5, + oneof='structured_value', + message=postal_address_pb2.PostalAddress, + ) + boolean_value: bool = proto.Field( + proto.BOOL, + number=6, + oneof='structured_value', + ) + integer_value: int = proto.Field( + proto.INT32, + number=7, + oneof='structured_value', + ) + float_value: float = proto.Field( + proto.FLOAT, + number=8, + oneof='structured_value', + ) + text: str = proto.Field( + proto.STRING, + number=1, + ) + + text_anchor: 'Document.TextAnchor' = proto.Field( + proto.MESSAGE, + number=1, + message='Document.TextAnchor', + ) + type_: str = proto.Field( + proto.STRING, + number=2, + ) + mention_text: str = proto.Field( + proto.STRING, + number=3, + ) + mention_id: str = proto.Field( + proto.STRING, + number=4, + ) + confidence: float = proto.Field( + proto.FLOAT, + number=5, + ) + page_anchor: 'Document.PageAnchor' = proto.Field( + proto.MESSAGE, + number=6, + message='Document.PageAnchor', + ) + id: str = proto.Field( + proto.STRING, + number=7, + ) + normalized_value: 'Document.Entity.NormalizedValue' = proto.Field( + proto.MESSAGE, + number=9, + message='Document.Entity.NormalizedValue', + ) + properties: MutableSequence['Document.Entity'] = proto.RepeatedField( + proto.MESSAGE, + number=10, + message='Document.Entity', + ) + provenance: 'Document.Provenance' = proto.Field( + proto.MESSAGE, + number=11, + message='Document.Provenance', + ) + redacted: bool = proto.Field( + proto.BOOL, + number=12, + ) + + class EntityRelation(proto.Message): + r"""Relationship between + [Entities][google.cloud.documentai.v1beta3.Document.Entity]. + + Attributes: + subject_id (str): + Subject entity id. + object_id (str): + Object entity id. + relation (str): + Relationship description. + """ + + subject_id: str = proto.Field( + proto.STRING, + number=1, + ) + object_id: str = proto.Field( + proto.STRING, + number=2, + ) + relation: str = proto.Field( + proto.STRING, + number=3, + ) + + class TextAnchor(proto.Message): + r"""Text reference indexing into the + [Document.text][google.cloud.documentai.v1beta3.Document.text]. + + Attributes: + text_segments (MutableSequence[google.cloud.documentai_v1beta3.types.Document.TextAnchor.TextSegment]): + The text segments from the + [Document.text][google.cloud.documentai.v1beta3.Document.text]. + content (str): + Contains the content of the text span so that users do not + have to look it up in the text_segments. It is always + populated for formFields. + """ + + class TextSegment(proto.Message): + r"""A text segment in the + [Document.text][google.cloud.documentai.v1beta3.Document.text]. The + indices may be out of bounds which indicate that the text extends + into another document shard for large sharded documents. See + [ShardInfo.text_offset][google.cloud.documentai.v1beta3.Document.ShardInfo.text_offset] + + Attributes: + start_index (int): + [TextSegment][google.cloud.documentai.v1beta3.Document.TextAnchor.TextSegment] + start UTF-8 char index in the + [Document.text][google.cloud.documentai.v1beta3.Document.text]. + end_index (int): + [TextSegment][google.cloud.documentai.v1beta3.Document.TextAnchor.TextSegment] + half open end UTF-8 char index in the + [Document.text][google.cloud.documentai.v1beta3.Document.text]. + """ + + start_index: int = proto.Field( + proto.INT64, + number=1, + ) + end_index: int = proto.Field( + proto.INT64, + number=2, + ) + + text_segments: MutableSequence['Document.TextAnchor.TextSegment'] = proto.RepeatedField( + proto.MESSAGE, + number=1, + message='Document.TextAnchor.TextSegment', + ) + content: str = proto.Field( + proto.STRING, + number=2, + ) + + class PageAnchor(proto.Message): + r"""Referencing the visual context of the entity in the + [Document.pages][google.cloud.documentai.v1beta3.Document.pages]. + Page anchors can be cross-page, consist of multiple bounding + polygons and optionally reference specific layout element types. + + Attributes: + page_refs (MutableSequence[google.cloud.documentai_v1beta3.types.Document.PageAnchor.PageRef]): + One or more references to visual page + elements + """ + + class PageRef(proto.Message): + r"""Represents a weak reference to a page element within a + document. + + Attributes: + page (int): + Required. Index into the + [Document.pages][google.cloud.documentai.v1beta3.Document.pages] + element, for example using + ``[Document.pages][page_refs.page]`` to locate the related + page element. This field is skipped when its value is the + default ``0``. See + https://developers.google.com/protocol-buffers/docs/proto3#json. + layout_type (google.cloud.documentai_v1beta3.types.Document.PageAnchor.PageRef.LayoutType): + Optional. The type of the layout element that + is being referenced if any. + layout_id (str): + Optional. Deprecated. Use + [PageRef.bounding_poly][google.cloud.documentai.v1beta3.Document.PageAnchor.PageRef.bounding_poly] + instead. + bounding_poly (google.cloud.documentai_v1beta3.types.BoundingPoly): + Optional. Identifies the bounding polygon of a layout + element on the page. If ``layout_type`` is set, the bounding + polygon must be exactly the same to the layout element it's + referring to. + confidence (float): + Optional. Confidence of detected page element, if + applicable. Range ``[0, 1]``. + """ + class LayoutType(proto.Enum): + r"""The type of layout that is being referenced. + + Values: + LAYOUT_TYPE_UNSPECIFIED (0): + Layout Unspecified. + BLOCK (1): + References a + [Page.blocks][google.cloud.documentai.v1beta3.Document.Page.blocks] + element. + PARAGRAPH (2): + References a + [Page.paragraphs][google.cloud.documentai.v1beta3.Document.Page.paragraphs] + element. + LINE (3): + References a + [Page.lines][google.cloud.documentai.v1beta3.Document.Page.lines] + element. + TOKEN (4): + References a + [Page.tokens][google.cloud.documentai.v1beta3.Document.Page.tokens] + element. + VISUAL_ELEMENT (5): + References a + [Page.visual_elements][google.cloud.documentai.v1beta3.Document.Page.visual_elements] + element. + TABLE (6): + Refrrences a + [Page.tables][google.cloud.documentai.v1beta3.Document.Page.tables] + element. + FORM_FIELD (7): + References a + [Page.form_fields][google.cloud.documentai.v1beta3.Document.Page.form_fields] + element. + """ + LAYOUT_TYPE_UNSPECIFIED = 0 + BLOCK = 1 + PARAGRAPH = 2 + LINE = 3 + TOKEN = 4 + VISUAL_ELEMENT = 5 + TABLE = 6 + FORM_FIELD = 7 + + page: int = proto.Field( + proto.INT64, + number=1, + ) + layout_type: 'Document.PageAnchor.PageRef.LayoutType' = proto.Field( + proto.ENUM, + number=2, + enum='Document.PageAnchor.PageRef.LayoutType', + ) + layout_id: str = proto.Field( + proto.STRING, + number=3, + ) + bounding_poly: geometry.BoundingPoly = proto.Field( + proto.MESSAGE, + number=4, + message=geometry.BoundingPoly, + ) + confidence: float = proto.Field( + proto.FLOAT, + number=5, + ) + + page_refs: MutableSequence['Document.PageAnchor.PageRef'] = proto.RepeatedField( + proto.MESSAGE, + number=1, + message='Document.PageAnchor.PageRef', + ) + + class Provenance(proto.Message): + r"""Structure to identify provenance relationships between + annotations in different revisions. + + Attributes: + revision (int): + The index of the revision that produced this + element. + id (int): + The Id of this operation. Needs to be unique + within the scope of the revision. + parents (MutableSequence[google.cloud.documentai_v1beta3.types.Document.Provenance.Parent]): + References to the original elements that are + replaced. + type_ (google.cloud.documentai_v1beta3.types.Document.Provenance.OperationType): + The type of provenance operation. + """ + class OperationType(proto.Enum): + r"""If a processor or agent does an explicit operation on + existing elements. + + Values: + OPERATION_TYPE_UNSPECIFIED (0): + Operation type unspecified. If no operation is specified a + provenance entry is simply used to match against a + ``parent``. + ADD (1): + Add an element. + REMOVE (2): + Remove an element identified by ``parent``. + UPDATE (7): + Updates any fields within the given + provenance scope of the message. It overwrites + the fields rather than replacing them. Use this + when you want to update a field value of an + entity without also updating all the child + properties. + REPLACE (3): + Currently unused. Replace an element identified by + ``parent``. + EVAL_REQUESTED (4): + Deprecated. Request human review for the element identified + by ``parent``. + EVAL_APPROVED (5): + Deprecated. Element is reviewed and approved + at human review, confidence will be set to 1.0. + EVAL_SKIPPED (6): + Deprecated. Element is skipped in the + validation process. + """ + OPERATION_TYPE_UNSPECIFIED = 0 + ADD = 1 + REMOVE = 2 + UPDATE = 7 + REPLACE = 3 + EVAL_REQUESTED = 4 + EVAL_APPROVED = 5 + EVAL_SKIPPED = 6 + + class Parent(proto.Message): + r"""The parent element the current element is based on. Used for + referencing/aligning, removal and replacement operations. + + Attributes: + revision (int): + The index of the index into current revision's parent_ids + list. + index (int): + The index of the parent item in the + corresponding item list (eg. list of entities, + properties within entities, etc.) in the parent + revision. + id (int): + The id of the parent provenance. + """ + + revision: int = proto.Field( + proto.INT32, + number=1, + ) + index: int = proto.Field( + proto.INT32, + number=3, + ) + id: int = proto.Field( + proto.INT32, + number=2, + ) + + revision: int = proto.Field( + proto.INT32, + number=1, + ) + id: int = proto.Field( + proto.INT32, + number=2, + ) + parents: MutableSequence['Document.Provenance.Parent'] = proto.RepeatedField( + proto.MESSAGE, + number=3, + message='Document.Provenance.Parent', + ) + type_: 'Document.Provenance.OperationType' = proto.Field( + proto.ENUM, + number=4, + enum='Document.Provenance.OperationType', + ) + + class Revision(proto.Message): + r"""Contains past or forward revisions of this document. + + This message has `oneof`_ fields (mutually exclusive fields). + For each oneof, at most one member field can be set at the same time. + Setting any member of the oneof automatically clears all other + members. + + .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields + + Attributes: + agent (str): + If the change was made by a person specify + the name or id of that person. + + This field is a member of `oneof`_ ``source``. + processor (str): + If the annotation was made by processor + identify the processor by its resource name. + + This field is a member of `oneof`_ ``source``. + id (str): + Id of the revision, internally generated by + doc proto storage. Unique within the context of + the document. + parent (MutableSequence[int]): + The revisions that this revision is based on. This can + include one or more parent (when documents are merged.) This + field represents the index into the ``revisions`` field. + parent_ids (MutableSequence[str]): + The revisions that this revision is based on. Must include + all the ids that have anything to do with this revision - + eg. there are ``provenance.parent.revision`` fields that + index into this field. + create_time (google.protobuf.timestamp_pb2.Timestamp): + The time that the revision was created, + internally generated by doc proto storage at the + time of create. + human_review (google.cloud.documentai_v1beta3.types.Document.Revision.HumanReview): + Human Review information of this revision. + """ + + class HumanReview(proto.Message): + r"""Human Review information of the document. + + Attributes: + state (str): + Human review state. e.g. ``requested``, ``succeeded``, + ``rejected``. + state_message (str): + A message providing more details about the current state of + processing. For example, the rejection reason when the state + is ``rejected``. + """ + + state: str = proto.Field( + proto.STRING, + number=1, + ) + state_message: str = proto.Field( + proto.STRING, + number=2, + ) + + agent: str = proto.Field( + proto.STRING, + number=4, + oneof='source', + ) + processor: str = proto.Field( + proto.STRING, + number=5, + oneof='source', + ) + id: str = proto.Field( + proto.STRING, + number=1, + ) + parent: MutableSequence[int] = proto.RepeatedField( + proto.INT32, + number=2, + ) + parent_ids: MutableSequence[str] = proto.RepeatedField( + proto.STRING, + number=7, + ) + create_time: timestamp_pb2.Timestamp = proto.Field( + proto.MESSAGE, + number=3, + message=timestamp_pb2.Timestamp, + ) + human_review: 'Document.Revision.HumanReview' = proto.Field( + proto.MESSAGE, + number=6, + message='Document.Revision.HumanReview', + ) + + class TextChange(proto.Message): + r"""This message is used for text changes aka. OCR corrections. + + Attributes: + text_anchor (google.cloud.documentai_v1beta3.types.Document.TextAnchor): + Provenance of the correction. Text anchor indexing into the + [Document.text][google.cloud.documentai.v1beta3.Document.text]. + There can only be a single ``TextAnchor.text_segments`` + element. If the start and end index of the text segment are + the same, the text change is inserted before that index. + changed_text (str): + The text that replaces the text identified in the + ``text_anchor``. + provenance (MutableSequence[google.cloud.documentai_v1beta3.types.Document.Provenance]): + The history of this annotation. + """ + + text_anchor: 'Document.TextAnchor' = proto.Field( + proto.MESSAGE, + number=1, + message='Document.TextAnchor', + ) + changed_text: str = proto.Field( + proto.STRING, + number=2, + ) + provenance: MutableSequence['Document.Provenance'] = proto.RepeatedField( + proto.MESSAGE, + number=3, + message='Document.Provenance', + ) + + uri: str = proto.Field( + proto.STRING, + number=1, + oneof='source', + ) + content: bytes = proto.Field( + proto.BYTES, + number=2, + oneof='source', + ) + mime_type: str = proto.Field( + proto.STRING, + number=3, + ) + text: str = proto.Field( + proto.STRING, + number=4, + ) + text_styles: MutableSequence[Style] = proto.RepeatedField( + proto.MESSAGE, + number=5, + message=Style, + ) + pages: MutableSequence[Page] = proto.RepeatedField( + proto.MESSAGE, + number=6, + message=Page, + ) + entities: MutableSequence[Entity] = proto.RepeatedField( + proto.MESSAGE, + number=7, + message=Entity, + ) + entity_relations: MutableSequence[EntityRelation] = proto.RepeatedField( + proto.MESSAGE, + number=8, + message=EntityRelation, + ) + text_changes: MutableSequence[TextChange] = proto.RepeatedField( + proto.MESSAGE, + number=14, + message=TextChange, + ) + shard_info: ShardInfo = proto.Field( + proto.MESSAGE, + number=9, + message=ShardInfo, + ) + error: status_pb2.Status = proto.Field( + proto.MESSAGE, + number=10, + message=status_pb2.Status, + ) + revisions: MutableSequence[Revision] = proto.RepeatedField( + proto.MESSAGE, + number=13, + message=Revision, + ) + + +class RevisionRef(proto.Message): + r"""The revision reference specifies which revision on the + document to read. + + This message has `oneof`_ fields (mutually exclusive fields). + For each oneof, at most one member field can be set at the same time. + Setting any member of the oneof automatically clears all other + members. + + .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields + + Attributes: + revision_case (google.cloud.documentai_v1beta3.types.RevisionRef.RevisionCase): + Reads the revision by the predefined case. + + This field is a member of `oneof`_ ``source``. + revision_id (str): + Reads the revision given by the id. + + This field is a member of `oneof`_ ``source``. + latest_processor_version (str): + Reads the revision generated by the processor version. The + format takes the full resource name of processor version. + ``projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processorVersion}`` + + This field is a member of `oneof`_ ``source``. + """ + class RevisionCase(proto.Enum): + r"""Some predefined revision cases. + + Values: + REVISION_CASE_UNSPECIFIED (0): + Unspecified case, fall back to read the + ``LATEST_HUMAN_REVIEW``. + LATEST_HUMAN_REVIEW (1): + The latest revision made by a human. + LATEST_TIMESTAMP (2): + The latest revision based on timestamp. + BASE_OCR_REVISION (3): + The first (OCR) revision. + """ + REVISION_CASE_UNSPECIFIED = 0 + LATEST_HUMAN_REVIEW = 1 + LATEST_TIMESTAMP = 2 + BASE_OCR_REVISION = 3 + + revision_case: RevisionCase = proto.Field( + proto.ENUM, + number=1, + oneof='source', + enum=RevisionCase, + ) + revision_id: str = proto.Field( + proto.STRING, + number=2, + oneof='source', + ) + latest_processor_version: str = proto.Field( + proto.STRING, + number=3, + oneof='source', + ) + + +__all__ = tuple(sorted(__protobuf__.manifest)) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/types/document_io.py b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/types/document_io.py new file mode 100644 index 000000000000..9ff4a7ce15fc --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/types/document_io.py @@ -0,0 +1,361 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from __future__ import annotations + +from typing import MutableMapping, MutableSequence + +import proto # type: ignore + +from google.protobuf import field_mask_pb2 # type: ignore + + +__protobuf__ = proto.module( + package='google.cloud.documentai.v1beta3', + manifest={ + 'RawDocument', + 'GcsDocument', + 'GcsDocuments', + 'GcsPrefix', + 'BatchDocumentsInputConfig', + 'DocumentOutputConfig', + 'OcrConfig', + }, +) + + +class RawDocument(proto.Message): + r"""Payload message of raw document content (bytes). + + Attributes: + content (bytes): + Inline document content. + mime_type (str): + An IANA MIME type (RFC6838) indicating the nature and format + of the + [content][google.cloud.documentai.v1beta3.RawDocument.content]. + display_name (str): + The display name of the document, it supports all Unicode + characters except the following: ``*``, ``?``, ``[``, ``]``, + ``%``, ``{``, ``}``,\ ``'``, ``\"``, ``,`` ``~``, ``=`` and + ``:`` are reserved. If not specified, a default ID is + generated. + """ + + content: bytes = proto.Field( + proto.BYTES, + number=1, + ) + mime_type: str = proto.Field( + proto.STRING, + number=2, + ) + display_name: str = proto.Field( + proto.STRING, + number=3, + ) + + +class GcsDocument(proto.Message): + r"""Specifies a document stored on Cloud Storage. + + Attributes: + gcs_uri (str): + The Cloud Storage object uri. + mime_type (str): + An IANA MIME type (RFC6838) of the content. + """ + + gcs_uri: str = proto.Field( + proto.STRING, + number=1, + ) + mime_type: str = proto.Field( + proto.STRING, + number=2, + ) + + +class GcsDocuments(proto.Message): + r"""Specifies a set of documents on Cloud Storage. + + Attributes: + documents (MutableSequence[google.cloud.documentai_v1beta3.types.GcsDocument]): + The list of documents. + """ + + documents: MutableSequence['GcsDocument'] = proto.RepeatedField( + proto.MESSAGE, + number=1, + message='GcsDocument', + ) + + +class GcsPrefix(proto.Message): + r"""Specifies all documents on Cloud Storage with a common + prefix. + + Attributes: + gcs_uri_prefix (str): + The URI prefix. + """ + + gcs_uri_prefix: str = proto.Field( + proto.STRING, + number=1, + ) + + +class BatchDocumentsInputConfig(proto.Message): + r"""The common config to specify a set of documents used as + input. + + This message has `oneof`_ fields (mutually exclusive fields). + For each oneof, at most one member field can be set at the same time. + Setting any member of the oneof automatically clears all other + members. + + .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields + + Attributes: + gcs_prefix (google.cloud.documentai_v1beta3.types.GcsPrefix): + The set of documents that match the specified Cloud Storage + ``gcs_prefix``. + + This field is a member of `oneof`_ ``source``. + gcs_documents (google.cloud.documentai_v1beta3.types.GcsDocuments): + The set of documents individually specified + on Cloud Storage. + + This field is a member of `oneof`_ ``source``. + """ + + gcs_prefix: 'GcsPrefix' = proto.Field( + proto.MESSAGE, + number=1, + oneof='source', + message='GcsPrefix', + ) + gcs_documents: 'GcsDocuments' = proto.Field( + proto.MESSAGE, + number=2, + oneof='source', + message='GcsDocuments', + ) + + +class DocumentOutputConfig(proto.Message): + r"""Config that controls the output of documents. All documents + will be written as a JSON file. + + + .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields + + Attributes: + gcs_output_config (google.cloud.documentai_v1beta3.types.DocumentOutputConfig.GcsOutputConfig): + Output config to write the results to Cloud + Storage. + + This field is a member of `oneof`_ ``destination``. + """ + + class GcsOutputConfig(proto.Message): + r"""The configuration used when outputting documents. + + Attributes: + gcs_uri (str): + The Cloud Storage uri (a directory) of the + output. + field_mask (google.protobuf.field_mask_pb2.FieldMask): + Specifies which fields to include in the output documents. + Only supports top level document and pages field so it must + be in the form of ``{document_field_name}`` or + ``pages.{page_field_name}``. + sharding_config (google.cloud.documentai_v1beta3.types.DocumentOutputConfig.GcsOutputConfig.ShardingConfig): + Specifies the sharding config for the output + document. + """ + + class ShardingConfig(proto.Message): + r"""The sharding config for the output document. + + Attributes: + pages_per_shard (int): + The number of pages per shard. + pages_overlap (int): + The number of overlapping pages between + consecutive shards. + """ + + pages_per_shard: int = proto.Field( + proto.INT32, + number=1, + ) + pages_overlap: int = proto.Field( + proto.INT32, + number=2, + ) + + gcs_uri: str = proto.Field( + proto.STRING, + number=1, + ) + field_mask: field_mask_pb2.FieldMask = proto.Field( + proto.MESSAGE, + number=2, + message=field_mask_pb2.FieldMask, + ) + sharding_config: 'DocumentOutputConfig.GcsOutputConfig.ShardingConfig' = proto.Field( + proto.MESSAGE, + number=3, + message='DocumentOutputConfig.GcsOutputConfig.ShardingConfig', + ) + + gcs_output_config: GcsOutputConfig = proto.Field( + proto.MESSAGE, + number=1, + oneof='destination', + message=GcsOutputConfig, + ) + + +class OcrConfig(proto.Message): + r"""Config for Document OCR. + + Attributes: + hints (google.cloud.documentai_v1beta3.types.OcrConfig.Hints): + Hints for the OCR model. + enable_native_pdf_parsing (bool): + Enables special handling for PDFs with + existing text information. Results in better + text extraction quality in such PDF inputs. + enable_image_quality_scores (bool): + Enables intelligent document quality scores + after OCR. Can help with diagnosing why OCR + responses are of poor quality for a given input. + Adds additional latency comparable to regular + OCR to the process call. + advanced_ocr_options (MutableSequence[str]): + A list of advanced OCR options to further fine-tune OCR + behavior. Current valid values are: + + - ``legacy_layout``: a heuristics layout detection + algorithm, which serves as an alternative to the current + ML-based layout detection algorithm. Customers can choose + the best suitable layout algorithm based on their + situation. + enable_symbol (bool): + Includes symbol level OCR information if set + to true. + compute_style_info (bool): + Turn on font identification model and return font style + information. Deprecated, use + [PremiumFeatures.compute_style_info][google.cloud.documentai.v1beta3.OcrConfig.PremiumFeatures.compute_style_info] + instead. + disable_character_boxes_detection (bool): + Turn off character box detector in OCR + engine. Character box detection is enabled by + default in OCR 2.0 (and later) processors. + premium_features (google.cloud.documentai_v1beta3.types.OcrConfig.PremiumFeatures): + Configurations for premium OCR features. + """ + + class Hints(proto.Message): + r"""Hints for OCR Engine + + Attributes: + language_hints (MutableSequence[str]): + List of BCP-47 language codes to use for OCR. + In most cases, not specifying it yields the best + results since it enables automatic language + detection. For languages based on the Latin + alphabet, setting hints is not needed. In rare + cases, when the language of the text in the + image is known, setting a hint will help get + better results (although it will be a + significant hindrance if the hint is wrong). + """ + + language_hints: MutableSequence[str] = proto.RepeatedField( + proto.STRING, + number=1, + ) + + class PremiumFeatures(proto.Message): + r"""Configurations for premium OCR features. + + Attributes: + enable_selection_mark_detection (bool): + Turn on selection mark detector in OCR + engine. Only available in OCR 2.0 (and later) + processors. + compute_style_info (bool): + Turn on font identification model and return + font style information. + enable_math_ocr (bool): + Turn on the model that can extract LaTeX math + formulas. + """ + + enable_selection_mark_detection: bool = proto.Field( + proto.BOOL, + number=3, + ) + compute_style_info: bool = proto.Field( + proto.BOOL, + number=4, + ) + enable_math_ocr: bool = proto.Field( + proto.BOOL, + number=5, + ) + + hints: Hints = proto.Field( + proto.MESSAGE, + number=2, + message=Hints, + ) + enable_native_pdf_parsing: bool = proto.Field( + proto.BOOL, + number=3, + ) + enable_image_quality_scores: bool = proto.Field( + proto.BOOL, + number=4, + ) + advanced_ocr_options: MutableSequence[str] = proto.RepeatedField( + proto.STRING, + number=5, + ) + enable_symbol: bool = proto.Field( + proto.BOOL, + number=6, + ) + compute_style_info: bool = proto.Field( + proto.BOOL, + number=8, + ) + disable_character_boxes_detection: bool = proto.Field( + proto.BOOL, + number=10, + ) + premium_features: PremiumFeatures = proto.Field( + proto.MESSAGE, + number=11, + message=PremiumFeatures, + ) + + +__all__ = tuple(sorted(__protobuf__.manifest)) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/types/document_processor_service.py b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/types/document_processor_service.py new file mode 100644 index 000000000000..83e5eb0656ac --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/types/document_processor_service.py @@ -0,0 +1,1936 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from __future__ import annotations + +from typing import MutableMapping, MutableSequence + +import proto # type: ignore + +from google.cloud.documentai_v1beta3.types import document as gcd_document +from google.cloud.documentai_v1beta3.types import document_io +from google.cloud.documentai_v1beta3.types import document_schema as gcd_document_schema +from google.cloud.documentai_v1beta3.types import evaluation as gcd_evaluation +from google.cloud.documentai_v1beta3.types import operation_metadata +from google.cloud.documentai_v1beta3.types import processor as gcd_processor +from google.cloud.documentai_v1beta3.types import processor_type +from google.protobuf import field_mask_pb2 # type: ignore +from google.protobuf import timestamp_pb2 # type: ignore +from google.rpc import status_pb2 # type: ignore + + +__protobuf__ = proto.module( + package='google.cloud.documentai.v1beta3', + manifest={ + 'ProcessOptions', + 'ProcessRequest', + 'HumanReviewStatus', + 'ProcessResponse', + 'BatchProcessRequest', + 'BatchProcessResponse', + 'BatchProcessMetadata', + 'FetchProcessorTypesRequest', + 'FetchProcessorTypesResponse', + 'ListProcessorTypesRequest', + 'ListProcessorTypesResponse', + 'ListProcessorsRequest', + 'ListProcessorsResponse', + 'GetProcessorTypeRequest', + 'GetProcessorRequest', + 'GetProcessorVersionRequest', + 'ListProcessorVersionsRequest', + 'ListProcessorVersionsResponse', + 'DeleteProcessorVersionRequest', + 'DeleteProcessorVersionMetadata', + 'DeployProcessorVersionRequest', + 'DeployProcessorVersionResponse', + 'DeployProcessorVersionMetadata', + 'UndeployProcessorVersionRequest', + 'UndeployProcessorVersionResponse', + 'UndeployProcessorVersionMetadata', + 'CreateProcessorRequest', + 'DeleteProcessorRequest', + 'DeleteProcessorMetadata', + 'EnableProcessorRequest', + 'EnableProcessorResponse', + 'EnableProcessorMetadata', + 'DisableProcessorRequest', + 'DisableProcessorResponse', + 'DisableProcessorMetadata', + 'SetDefaultProcessorVersionRequest', + 'SetDefaultProcessorVersionResponse', + 'SetDefaultProcessorVersionMetadata', + 'TrainProcessorVersionRequest', + 'TrainProcessorVersionResponse', + 'TrainProcessorVersionMetadata', + 'ReviewDocumentRequest', + 'ReviewDocumentResponse', + 'ReviewDocumentOperationMetadata', + 'EvaluateProcessorVersionRequest', + 'EvaluateProcessorVersionMetadata', + 'EvaluateProcessorVersionResponse', + 'GetEvaluationRequest', + 'ListEvaluationsRequest', + 'ListEvaluationsResponse', + 'ImportProcessorVersionRequest', + 'ImportProcessorVersionResponse', + 'ImportProcessorVersionMetadata', + }, +) + + +class ProcessOptions(proto.Message): + r"""Options for Process API + + This message has `oneof`_ fields (mutually exclusive fields). + For each oneof, at most one member field can be set at the same time. + Setting any member of the oneof automatically clears all other + members. + + .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields + + Attributes: + individual_page_selector (google.cloud.documentai_v1beta3.types.ProcessOptions.IndividualPageSelector): + Which pages to process (1-indexed). + + This field is a member of `oneof`_ ``page_range``. + from_start (int): + Only process certain pages from the start. + Process all if the document has fewer pages. + + This field is a member of `oneof`_ ``page_range``. + from_end (int): + Only process certain pages from the end, same + as above. + + This field is a member of `oneof`_ ``page_range``. + ocr_config (google.cloud.documentai_v1beta3.types.OcrConfig): + Only applicable to ``OCR_PROCESSOR`` and + ``FORM_PARSER_PROCESSOR``. Returns error if set on other + processor types. + schema_override (google.cloud.documentai_v1beta3.types.DocumentSchema): + Optional. Override the schema of the + [ProcessorVersion][google.cloud.documentai.v1beta3.ProcessorVersion]. + Will return an Invalid Argument error if this field is set + when the underlying + [ProcessorVersion][google.cloud.documentai.v1beta3.ProcessorVersion] + doesn't support schema override. + """ + + class IndividualPageSelector(proto.Message): + r"""A list of individual page numbers. + + Attributes: + pages (MutableSequence[int]): + Optional. Indices of the pages (starting from + 1). + """ + + pages: MutableSequence[int] = proto.RepeatedField( + proto.INT32, + number=1, + ) + + individual_page_selector: IndividualPageSelector = proto.Field( + proto.MESSAGE, + number=5, + oneof='page_range', + message=IndividualPageSelector, + ) + from_start: int = proto.Field( + proto.INT32, + number=6, + oneof='page_range', + ) + from_end: int = proto.Field( + proto.INT32, + number=7, + oneof='page_range', + ) + ocr_config: document_io.OcrConfig = proto.Field( + proto.MESSAGE, + number=1, + message=document_io.OcrConfig, + ) + schema_override: gcd_document_schema.DocumentSchema = proto.Field( + proto.MESSAGE, + number=8, + message=gcd_document_schema.DocumentSchema, + ) + + +class ProcessRequest(proto.Message): + r"""Request message for the + [ProcessDocument][google.cloud.documentai.v1beta3.DocumentProcessorService.ProcessDocument] + method. + + This message has `oneof`_ fields (mutually exclusive fields). + For each oneof, at most one member field can be set at the same time. + Setting any member of the oneof automatically clears all other + members. + + .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields + + Attributes: + inline_document (google.cloud.documentai_v1beta3.types.Document): + An inline document proto. + + This field is a member of `oneof`_ ``source``. + raw_document (google.cloud.documentai_v1beta3.types.RawDocument): + A raw document content (bytes). + + This field is a member of `oneof`_ ``source``. + gcs_document (google.cloud.documentai_v1beta3.types.GcsDocument): + A raw document on Google Cloud Storage. + + This field is a member of `oneof`_ ``source``. + name (str): + Required. The resource name of the + [Processor][google.cloud.documentai.v1beta3.Processor] or + [ProcessorVersion][google.cloud.documentai.v1beta3.ProcessorVersion] + to use for processing. If a + [Processor][google.cloud.documentai.v1beta3.Processor] is + specified, the server will use its [default + version][google.cloud.documentai.v1beta3.Processor.default_processor_version]. + Format: + ``projects/{project}/locations/{location}/processors/{processor}``, + or + ``projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processorVersion}`` + document (google.cloud.documentai_v1beta3.types.Document): + The document payload, the + [content][google.cloud.documentai.v1beta3.Document.content] + and + [mime_type][google.cloud.documentai.v1beta3.Document.mime_type] + fields must be set. + skip_human_review (bool): + Whether human review should be skipped for this request. + Default to ``false``. + field_mask (google.protobuf.field_mask_pb2.FieldMask): + Specifies which fields to include in the + [ProcessResponse.document][google.cloud.documentai.v1beta3.ProcessResponse.document] + output. Only supports top-level document and pages field, so + it must be in the form of ``{document_field_name}`` or + ``pages.{page_field_name}``. + process_options (google.cloud.documentai_v1beta3.types.ProcessOptions): + Inference-time options for the process API + labels (MutableMapping[str, str]): + Optional. The labels with user-defined + metadata for the request. + Label keys and values can be no longer than 63 + characters (Unicode codepoints) and can only + contain lowercase letters, numeric characters, + underscores, and dashes. International + characters are allowed. Label values are + optional. Label keys must start with a letter. + """ + + inline_document: gcd_document.Document = proto.Field( + proto.MESSAGE, + number=4, + oneof='source', + message=gcd_document.Document, + ) + raw_document: document_io.RawDocument = proto.Field( + proto.MESSAGE, + number=5, + oneof='source', + message=document_io.RawDocument, + ) + gcs_document: document_io.GcsDocument = proto.Field( + proto.MESSAGE, + number=8, + oneof='source', + message=document_io.GcsDocument, + ) + name: str = proto.Field( + proto.STRING, + number=1, + ) + document: gcd_document.Document = proto.Field( + proto.MESSAGE, + number=2, + message=gcd_document.Document, + ) + skip_human_review: bool = proto.Field( + proto.BOOL, + number=3, + ) + field_mask: field_mask_pb2.FieldMask = proto.Field( + proto.MESSAGE, + number=6, + message=field_mask_pb2.FieldMask, + ) + process_options: 'ProcessOptions' = proto.Field( + proto.MESSAGE, + number=7, + message='ProcessOptions', + ) + labels: MutableMapping[str, str] = proto.MapField( + proto.STRING, + proto.STRING, + number=10, + ) + + +class HumanReviewStatus(proto.Message): + r"""The status of human review on a processed document. + + Attributes: + state (google.cloud.documentai_v1beta3.types.HumanReviewStatus.State): + The state of human review on the processing + request. + state_message (str): + A message providing more details about the + human review state. + human_review_operation (str): + The name of the operation triggered by the processed + document. This field is populated only when the + [state][google.cloud.documentai.v1beta3.HumanReviewStatus.state] + is ``HUMAN_REVIEW_IN_PROGRESS``. It has the same response + type and metadata as the long-running operation returned by + [ReviewDocument][google.cloud.documentai.v1beta3.DocumentProcessorService.ReviewDocument]. + """ + class State(proto.Enum): + r"""The final state of human review on a processed document. + + Values: + STATE_UNSPECIFIED (0): + Human review state is unspecified. Most + likely due to an internal error. + SKIPPED (1): + Human review is skipped for the document. + This can happen because human review isn't + enabled on the processor or the processing + request has been set to skip this document. + VALIDATION_PASSED (2): + Human review validation is triggered and + passed, so no review is needed. + IN_PROGRESS (3): + Human review validation is triggered and the + document is under review. + ERROR (4): + Some error happened during triggering human review, see the + [state_message][google.cloud.documentai.v1beta3.HumanReviewStatus.state_message] + for details. + """ + STATE_UNSPECIFIED = 0 + SKIPPED = 1 + VALIDATION_PASSED = 2 + IN_PROGRESS = 3 + ERROR = 4 + + state: State = proto.Field( + proto.ENUM, + number=1, + enum=State, + ) + state_message: str = proto.Field( + proto.STRING, + number=2, + ) + human_review_operation: str = proto.Field( + proto.STRING, + number=3, + ) + + +class ProcessResponse(proto.Message): + r"""Response message for the + [ProcessDocument][google.cloud.documentai.v1beta3.DocumentProcessorService.ProcessDocument] + method. + + Attributes: + document (google.cloud.documentai_v1beta3.types.Document): + The document payload, will populate fields + based on the processor's behavior. + human_review_operation (str): + The name of the operation triggered by the processed + document. If the human review process isn't triggered, this + field is empty. It has the same response type and metadata + as the long-running operation returned by + [ReviewDocument][google.cloud.documentai.v1beta3.DocumentProcessorService.ReviewDocument]. + human_review_status (google.cloud.documentai_v1beta3.types.HumanReviewStatus): + The status of human review on the processed + document. + """ + + document: gcd_document.Document = proto.Field( + proto.MESSAGE, + number=1, + message=gcd_document.Document, + ) + human_review_operation: str = proto.Field( + proto.STRING, + number=2, + ) + human_review_status: 'HumanReviewStatus' = proto.Field( + proto.MESSAGE, + number=3, + message='HumanReviewStatus', + ) + + +class BatchProcessRequest(proto.Message): + r"""Request message for + [BatchProcessDocuments][google.cloud.documentai.v1beta3.DocumentProcessorService.BatchProcessDocuments]. + + Attributes: + name (str): + Required. The resource name of + [Processor][google.cloud.documentai.v1beta3.Processor] or + [ProcessorVersion][google.cloud.documentai.v1beta3.ProcessorVersion]. + Format: + ``projects/{project}/locations/{location}/processors/{processor}``, + or + ``projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processorVersion}`` + input_configs (MutableSequence[google.cloud.documentai_v1beta3.types.BatchProcessRequest.BatchInputConfig]): + The input config for each single document in + the batch process. + output_config (google.cloud.documentai_v1beta3.types.BatchProcessRequest.BatchOutputConfig): + The overall output config for batch process. + input_documents (google.cloud.documentai_v1beta3.types.BatchDocumentsInputConfig): + The input documents for the + [BatchProcessDocuments][google.cloud.documentai.v1beta3.DocumentProcessorService.BatchProcessDocuments] + method. + document_output_config (google.cloud.documentai_v1beta3.types.DocumentOutputConfig): + The output configuration for the + [BatchProcessDocuments][google.cloud.documentai.v1beta3.DocumentProcessorService.BatchProcessDocuments] + method. + skip_human_review (bool): + Whether human review should be skipped for this request. + Default to ``false``. + process_options (google.cloud.documentai_v1beta3.types.ProcessOptions): + Inference-time options for the process API + labels (MutableMapping[str, str]): + Optional. The labels with user-defined + metadata for the request. + Label keys and values can be no longer than 63 + characters (Unicode codepoints) and can only + contain lowercase letters, numeric characters, + underscores, and dashes. International + characters are allowed. Label values are + optional. Label keys must start with a letter. + """ + + class BatchInputConfig(proto.Message): + r"""The message for input config in batch process. + + Attributes: + gcs_source (str): + The Cloud Storage location as the source of + the document. + mime_type (str): + An IANA published `media type (MIME + type) `__ + of the input. If the input is a raw document, refer to + `supported file + types `__ + for the list of media types. If the input is a + [Document][google.cloud.documentai.v1beta3.Document], the + type should be ``application/json``. + """ + + gcs_source: str = proto.Field( + proto.STRING, + number=1, + ) + mime_type: str = proto.Field( + proto.STRING, + number=2, + ) + + class BatchOutputConfig(proto.Message): + r"""The output configuration in the + [BatchProcessDocuments][google.cloud.documentai.v1beta3.DocumentProcessorService.BatchProcessDocuments] + method. + + Attributes: + gcs_destination (str): + The output Cloud Storage directory to put the + processed documents. + """ + + gcs_destination: str = proto.Field( + proto.STRING, + number=1, + ) + + name: str = proto.Field( + proto.STRING, + number=1, + ) + input_configs: MutableSequence[BatchInputConfig] = proto.RepeatedField( + proto.MESSAGE, + number=2, + message=BatchInputConfig, + ) + output_config: BatchOutputConfig = proto.Field( + proto.MESSAGE, + number=3, + message=BatchOutputConfig, + ) + input_documents: document_io.BatchDocumentsInputConfig = proto.Field( + proto.MESSAGE, + number=5, + message=document_io.BatchDocumentsInputConfig, + ) + document_output_config: document_io.DocumentOutputConfig = proto.Field( + proto.MESSAGE, + number=6, + message=document_io.DocumentOutputConfig, + ) + skip_human_review: bool = proto.Field( + proto.BOOL, + number=4, + ) + process_options: 'ProcessOptions' = proto.Field( + proto.MESSAGE, + number=7, + message='ProcessOptions', + ) + labels: MutableMapping[str, str] = proto.MapField( + proto.STRING, + proto.STRING, + number=9, + ) + + +class BatchProcessResponse(proto.Message): + r"""Response message for + [BatchProcessDocuments][google.cloud.documentai.v1beta3.DocumentProcessorService.BatchProcessDocuments]. + + """ + + +class BatchProcessMetadata(proto.Message): + r"""The long-running operation metadata for + [BatchProcessDocuments][google.cloud.documentai.v1beta3.DocumentProcessorService.BatchProcessDocuments]. + + Attributes: + state (google.cloud.documentai_v1beta3.types.BatchProcessMetadata.State): + The state of the current batch processing. + state_message (str): + A message providing more details about the + current state of processing. For example, the + error message if the operation is failed. + create_time (google.protobuf.timestamp_pb2.Timestamp): + The creation time of the operation. + update_time (google.protobuf.timestamp_pb2.Timestamp): + The last update time of the operation. + individual_process_statuses (MutableSequence[google.cloud.documentai_v1beta3.types.BatchProcessMetadata.IndividualProcessStatus]): + The list of response details of each + document. + """ + class State(proto.Enum): + r"""Possible states of the batch processing operation. + + Values: + STATE_UNSPECIFIED (0): + The default value. This value is used if the + state is omitted. + WAITING (1): + Request operation is waiting for scheduling. + RUNNING (2): + Request is being processed. + SUCCEEDED (3): + The batch processing completed successfully. + CANCELLING (4): + The batch processing was being cancelled. + CANCELLED (5): + The batch processing was cancelled. + FAILED (6): + The batch processing has failed. + """ + STATE_UNSPECIFIED = 0 + WAITING = 1 + RUNNING = 2 + SUCCEEDED = 3 + CANCELLING = 4 + CANCELLED = 5 + FAILED = 6 + + class IndividualProcessStatus(proto.Message): + r"""The status of a each individual document in the batch + process. + + Attributes: + input_gcs_source (str): + The source of the document, same as the + [input_gcs_source][google.cloud.documentai.v1beta3.BatchProcessMetadata.IndividualProcessStatus.input_gcs_source] + field in the request when the batch process started. + status (google.rpc.status_pb2.Status): + The status processing the document. + output_gcs_destination (str): + The Cloud Storage output destination (in the request as + [DocumentOutputConfig.GcsOutputConfig.gcs_uri][google.cloud.documentai.v1beta3.DocumentOutputConfig.GcsOutputConfig.gcs_uri]) + of the processed document if it was successful, otherwise + empty. + human_review_operation (str): + The name of the operation triggered by the processed + document. If the human review process isn't triggered, this + field will be empty. It has the same response type and + metadata as the long-running operation returned by the + [ReviewDocument][google.cloud.documentai.v1beta3.DocumentProcessorService.ReviewDocument] + method. + human_review_status (google.cloud.documentai_v1beta3.types.HumanReviewStatus): + The status of human review on the processed + document. + """ + + input_gcs_source: str = proto.Field( + proto.STRING, + number=1, + ) + status: status_pb2.Status = proto.Field( + proto.MESSAGE, + number=2, + message=status_pb2.Status, + ) + output_gcs_destination: str = proto.Field( + proto.STRING, + number=3, + ) + human_review_operation: str = proto.Field( + proto.STRING, + number=4, + ) + human_review_status: 'HumanReviewStatus' = proto.Field( + proto.MESSAGE, + number=5, + message='HumanReviewStatus', + ) + + state: State = proto.Field( + proto.ENUM, + number=1, + enum=State, + ) + state_message: str = proto.Field( + proto.STRING, + number=2, + ) + create_time: timestamp_pb2.Timestamp = proto.Field( + proto.MESSAGE, + number=3, + message=timestamp_pb2.Timestamp, + ) + update_time: timestamp_pb2.Timestamp = proto.Field( + proto.MESSAGE, + number=4, + message=timestamp_pb2.Timestamp, + ) + individual_process_statuses: MutableSequence[IndividualProcessStatus] = proto.RepeatedField( + proto.MESSAGE, + number=5, + message=IndividualProcessStatus, + ) + + +class FetchProcessorTypesRequest(proto.Message): + r"""Request message for the + [FetchProcessorTypes][google.cloud.documentai.v1beta3.DocumentProcessorService.FetchProcessorTypes] + method. Some processor types may require the project be added to an + allowlist. + + Attributes: + parent (str): + Required. The location of processor types to list. Format: + ``projects/{project}/locations/{location}``. + """ + + parent: str = proto.Field( + proto.STRING, + number=1, + ) + + +class FetchProcessorTypesResponse(proto.Message): + r"""Response message for the + [FetchProcessorTypes][google.cloud.documentai.v1beta3.DocumentProcessorService.FetchProcessorTypes] + method. + + Attributes: + processor_types (MutableSequence[google.cloud.documentai_v1beta3.types.ProcessorType]): + The list of processor types. + """ + + processor_types: MutableSequence[processor_type.ProcessorType] = proto.RepeatedField( + proto.MESSAGE, + number=1, + message=processor_type.ProcessorType, + ) + + +class ListProcessorTypesRequest(proto.Message): + r"""Request message for the + [ListProcessorTypes][google.cloud.documentai.v1beta3.DocumentProcessorService.ListProcessorTypes] + method. Some processor types may require the project be added to an + allowlist. + + Attributes: + parent (str): + Required. The location of processor types to list. Format: + ``projects/{project}/locations/{location}``. + page_size (int): + The maximum number of processor types to return. If + unspecified, at most ``100`` processor types will be + returned. The maximum value is ``500``. Values above ``500`` + will be coerced to ``500``. + page_token (str): + Used to retrieve the next page of results, + empty if at the end of the list. + """ + + parent: str = proto.Field( + proto.STRING, + number=1, + ) + page_size: int = proto.Field( + proto.INT32, + number=2, + ) + page_token: str = proto.Field( + proto.STRING, + number=3, + ) + + +class ListProcessorTypesResponse(proto.Message): + r"""Response message for the + [ListProcessorTypes][google.cloud.documentai.v1beta3.DocumentProcessorService.ListProcessorTypes] + method. + + Attributes: + processor_types (MutableSequence[google.cloud.documentai_v1beta3.types.ProcessorType]): + The processor types. + next_page_token (str): + Points to the next page, otherwise empty. + """ + + @property + def raw_page(self): + return self + + processor_types: MutableSequence[processor_type.ProcessorType] = proto.RepeatedField( + proto.MESSAGE, + number=1, + message=processor_type.ProcessorType, + ) + next_page_token: str = proto.Field( + proto.STRING, + number=2, + ) + + +class ListProcessorsRequest(proto.Message): + r"""Request message for list all processors belongs to a project. + + Attributes: + parent (str): + Required. The parent (project and location) which owns this + collection of Processors. Format: + ``projects/{project}/locations/{location}`` + page_size (int): + The maximum number of processors to return. If unspecified, + at most ``50`` processors will be returned. The maximum + value is ``100``. Values above ``100`` will be coerced to + ``100``. + page_token (str): + We will return the processors sorted by + creation time. The page token will point to the + next processor. + """ + + parent: str = proto.Field( + proto.STRING, + number=1, + ) + page_size: int = proto.Field( + proto.INT32, + number=2, + ) + page_token: str = proto.Field( + proto.STRING, + number=3, + ) + + +class ListProcessorsResponse(proto.Message): + r"""Response message for the + [ListProcessors][google.cloud.documentai.v1beta3.DocumentProcessorService.ListProcessors] + method. + + Attributes: + processors (MutableSequence[google.cloud.documentai_v1beta3.types.Processor]): + The list of processors. + next_page_token (str): + Points to the next processor, otherwise + empty. + """ + + @property + def raw_page(self): + return self + + processors: MutableSequence[gcd_processor.Processor] = proto.RepeatedField( + proto.MESSAGE, + number=1, + message=gcd_processor.Processor, + ) + next_page_token: str = proto.Field( + proto.STRING, + number=2, + ) + + +class GetProcessorTypeRequest(proto.Message): + r"""Request message for the + [GetProcessorType][google.cloud.documentai.v1beta3.DocumentProcessorService.GetProcessorType] + method. + + Attributes: + name (str): + Required. The processor type resource name. + """ + + name: str = proto.Field( + proto.STRING, + number=1, + ) + + +class GetProcessorRequest(proto.Message): + r"""Request message for the + [GetProcessor][google.cloud.documentai.v1beta3.DocumentProcessorService.GetProcessor] + method. + + Attributes: + name (str): + Required. The processor resource name. + """ + + name: str = proto.Field( + proto.STRING, + number=1, + ) + + +class GetProcessorVersionRequest(proto.Message): + r"""Request message for the + [GetProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.GetProcessorVersion] + method. + + Attributes: + name (str): + Required. The processor resource name. + """ + + name: str = proto.Field( + proto.STRING, + number=1, + ) + + +class ListProcessorVersionsRequest(proto.Message): + r"""Request message for list all processor versions belongs to a + processor. + + Attributes: + parent (str): + Required. The parent (project, location and processor) to + list all versions. Format: + ``projects/{project}/locations/{location}/processors/{processor}`` + page_size (int): + The maximum number of processor versions to return. If + unspecified, at most ``10`` processor versions will be + returned. The maximum value is ``20``. Values above ``20`` + will be coerced to ``20``. + page_token (str): + We will return the processor versions sorted + by creation time. The page token will point to + the next processor version. + """ + + parent: str = proto.Field( + proto.STRING, + number=1, + ) + page_size: int = proto.Field( + proto.INT32, + number=2, + ) + page_token: str = proto.Field( + proto.STRING, + number=3, + ) + + +class ListProcessorVersionsResponse(proto.Message): + r"""Response message for the + [ListProcessorVersions][google.cloud.documentai.v1beta3.DocumentProcessorService.ListProcessorVersions] + method. + + Attributes: + processor_versions (MutableSequence[google.cloud.documentai_v1beta3.types.ProcessorVersion]): + The list of processors. + next_page_token (str): + Points to the next processor, otherwise + empty. + """ + + @property + def raw_page(self): + return self + + processor_versions: MutableSequence[gcd_processor.ProcessorVersion] = proto.RepeatedField( + proto.MESSAGE, + number=1, + message=gcd_processor.ProcessorVersion, + ) + next_page_token: str = proto.Field( + proto.STRING, + number=2, + ) + + +class DeleteProcessorVersionRequest(proto.Message): + r"""Request message for the + [DeleteProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.DeleteProcessorVersion] + method. + + Attributes: + name (str): + Required. The processor version resource name + to be deleted. + """ + + name: str = proto.Field( + proto.STRING, + number=1, + ) + + +class DeleteProcessorVersionMetadata(proto.Message): + r"""The long-running operation metadata for the + [DeleteProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.DeleteProcessorVersion] + method. + + Attributes: + common_metadata (google.cloud.documentai_v1beta3.types.CommonOperationMetadata): + The basic metadata of the long-running + operation. + """ + + common_metadata: operation_metadata.CommonOperationMetadata = proto.Field( + proto.MESSAGE, + number=1, + message=operation_metadata.CommonOperationMetadata, + ) + + +class DeployProcessorVersionRequest(proto.Message): + r"""Request message for the + [DeployProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.DeployProcessorVersion] + method. + + Attributes: + name (str): + Required. The processor version resource name + to be deployed. + """ + + name: str = proto.Field( + proto.STRING, + number=1, + ) + + +class DeployProcessorVersionResponse(proto.Message): + r"""Response message for the + [DeployProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.DeployProcessorVersion] + method. + + """ + + +class DeployProcessorVersionMetadata(proto.Message): + r"""The long-running operation metadata for the + [DeployProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.DeployProcessorVersion] + method. + + Attributes: + common_metadata (google.cloud.documentai_v1beta3.types.CommonOperationMetadata): + The basic metadata of the long-running + operation. + """ + + common_metadata: operation_metadata.CommonOperationMetadata = proto.Field( + proto.MESSAGE, + number=1, + message=operation_metadata.CommonOperationMetadata, + ) + + +class UndeployProcessorVersionRequest(proto.Message): + r"""Request message for the + [UndeployProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.UndeployProcessorVersion] + method. + + Attributes: + name (str): + Required. The processor version resource name + to be undeployed. + """ + + name: str = proto.Field( + proto.STRING, + number=1, + ) + + +class UndeployProcessorVersionResponse(proto.Message): + r"""Response message for the + [UndeployProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.UndeployProcessorVersion] + method. + + """ + + +class UndeployProcessorVersionMetadata(proto.Message): + r"""The long-running operation metadata for the + [UndeployProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.UndeployProcessorVersion] + method. + + Attributes: + common_metadata (google.cloud.documentai_v1beta3.types.CommonOperationMetadata): + The basic metadata of the long-running + operation. + """ + + common_metadata: operation_metadata.CommonOperationMetadata = proto.Field( + proto.MESSAGE, + number=1, + message=operation_metadata.CommonOperationMetadata, + ) + + +class CreateProcessorRequest(proto.Message): + r"""Request message for the + [CreateProcessor][google.cloud.documentai.v1beta3.DocumentProcessorService.CreateProcessor] + method. Notice this request is sent to a regionalized backend + service. If the + [ProcessorType][google.cloud.documentai.v1beta3.ProcessorType] isn't + available in that region, the creation fails. + + Attributes: + parent (str): + Required. The parent (project and location) under which to + create the processor. Format: + ``projects/{project}/locations/{location}`` + processor (google.cloud.documentai_v1beta3.types.Processor): + Required. The processor to be created, requires + [Processor.type][google.cloud.documentai.v1beta3.Processor.type] + and + [Processor.display_name][google.cloud.documentai.v1beta3.Processor.display_name] + to be set. Also, the + [Processor.kms_key_name][google.cloud.documentai.v1beta3.Processor.kms_key_name] + field must be set if the processor is under CMEK. + """ + + parent: str = proto.Field( + proto.STRING, + number=1, + ) + processor: gcd_processor.Processor = proto.Field( + proto.MESSAGE, + number=2, + message=gcd_processor.Processor, + ) + + +class DeleteProcessorRequest(proto.Message): + r"""Request message for the + [DeleteProcessor][google.cloud.documentai.v1beta3.DocumentProcessorService.DeleteProcessor] + method. + + Attributes: + name (str): + Required. The processor resource name to be + deleted. + """ + + name: str = proto.Field( + proto.STRING, + number=1, + ) + + +class DeleteProcessorMetadata(proto.Message): + r"""The long-running operation metadata for the + [DeleteProcessor][google.cloud.documentai.v1beta3.DocumentProcessorService.DeleteProcessor] + method. + + Attributes: + common_metadata (google.cloud.documentai_v1beta3.types.CommonOperationMetadata): + The basic metadata of the long-running + operation. + """ + + common_metadata: operation_metadata.CommonOperationMetadata = proto.Field( + proto.MESSAGE, + number=5, + message=operation_metadata.CommonOperationMetadata, + ) + + +class EnableProcessorRequest(proto.Message): + r"""Request message for the + [EnableProcessor][google.cloud.documentai.v1beta3.DocumentProcessorService.EnableProcessor] + method. + + Attributes: + name (str): + Required. The processor resource name to be + enabled. + """ + + name: str = proto.Field( + proto.STRING, + number=1, + ) + + +class EnableProcessorResponse(proto.Message): + r"""Response message for the + [EnableProcessor][google.cloud.documentai.v1beta3.DocumentProcessorService.EnableProcessor] + method. Intentionally empty proto for adding fields in future. + + """ + + +class EnableProcessorMetadata(proto.Message): + r"""The long-running operation metadata for the + [EnableProcessor][google.cloud.documentai.v1beta3.DocumentProcessorService.EnableProcessor] + method. + + Attributes: + common_metadata (google.cloud.documentai_v1beta3.types.CommonOperationMetadata): + The basic metadata of the long-running + operation. + """ + + common_metadata: operation_metadata.CommonOperationMetadata = proto.Field( + proto.MESSAGE, + number=5, + message=operation_metadata.CommonOperationMetadata, + ) + + +class DisableProcessorRequest(proto.Message): + r"""Request message for the + [DisableProcessor][google.cloud.documentai.v1beta3.DocumentProcessorService.DisableProcessor] + method. + + Attributes: + name (str): + Required. The processor resource name to be + disabled. + """ + + name: str = proto.Field( + proto.STRING, + number=1, + ) + + +class DisableProcessorResponse(proto.Message): + r"""Response message for the + [DisableProcessor][google.cloud.documentai.v1beta3.DocumentProcessorService.DisableProcessor] + method. Intentionally empty proto for adding fields in future. + + """ + + +class DisableProcessorMetadata(proto.Message): + r"""The long-running operation metadata for the + [DisableProcessor][google.cloud.documentai.v1beta3.DocumentProcessorService.DisableProcessor] + method. + + Attributes: + common_metadata (google.cloud.documentai_v1beta3.types.CommonOperationMetadata): + The basic metadata of the long-running + operation. + """ + + common_metadata: operation_metadata.CommonOperationMetadata = proto.Field( + proto.MESSAGE, + number=5, + message=operation_metadata.CommonOperationMetadata, + ) + + +class SetDefaultProcessorVersionRequest(proto.Message): + r"""Request message for the + [SetDefaultProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.SetDefaultProcessorVersion] + method. + + Attributes: + processor (str): + Required. The resource name of the + [Processor][google.cloud.documentai.v1beta3.Processor] to + change default version. + default_processor_version (str): + Required. The resource name of child + [ProcessorVersion][google.cloud.documentai.v1beta3.ProcessorVersion] + to use as default. Format: + ``projects/{project}/locations/{location}/processors/{processor}/processorVersions/{version}`` + """ + + processor: str = proto.Field( + proto.STRING, + number=1, + ) + default_processor_version: str = proto.Field( + proto.STRING, + number=2, + ) + + +class SetDefaultProcessorVersionResponse(proto.Message): + r"""Response message for the + [SetDefaultProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.SetDefaultProcessorVersion] + method. + + """ + + +class SetDefaultProcessorVersionMetadata(proto.Message): + r"""The long-running operation metadata for the + [SetDefaultProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.SetDefaultProcessorVersion] + method. + + Attributes: + common_metadata (google.cloud.documentai_v1beta3.types.CommonOperationMetadata): + The basic metadata of the long-running + operation. + """ + + common_metadata: operation_metadata.CommonOperationMetadata = proto.Field( + proto.MESSAGE, + number=1, + message=operation_metadata.CommonOperationMetadata, + ) + + +class TrainProcessorVersionRequest(proto.Message): + r"""Request message for the + [TrainProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.TrainProcessorVersion] + method. + + This message has `oneof`_ fields (mutually exclusive fields). + For each oneof, at most one member field can be set at the same time. + Setting any member of the oneof automatically clears all other + members. + + .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields + + Attributes: + custom_document_extraction_options (google.cloud.documentai_v1beta3.types.TrainProcessorVersionRequest.CustomDocumentExtractionOptions): + Options to control Custom Document Extraction + (CDE) Processor. + + This field is a member of `oneof`_ ``processor_flags``. + foundation_model_tuning_options (google.cloud.documentai_v1beta3.types.TrainProcessorVersionRequest.FoundationModelTuningOptions): + Options to control foundation model tuning of + a processor. + + This field is a member of `oneof`_ ``processor_flags``. + parent (str): + Required. The parent (project, location and processor) to + create the new version for. Format: + ``projects/{project}/locations/{location}/processors/{processor}``. + processor_version (google.cloud.documentai_v1beta3.types.ProcessorVersion): + Required. The processor version to be + created. + document_schema (google.cloud.documentai_v1beta3.types.DocumentSchema): + Optional. The schema the processor version + will be trained with. + input_data (google.cloud.documentai_v1beta3.types.TrainProcessorVersionRequest.InputData): + Optional. The input data used to train the + [ProcessorVersion][google.cloud.documentai.v1beta3.ProcessorVersion]. + base_processor_version (str): + Optional. The processor version to use as a base for + training. This processor version must be a child of + ``parent``. Format: + ``projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processorVersion}``. + """ + + class InputData(proto.Message): + r"""The input data used to train a new + [ProcessorVersion][google.cloud.documentai.v1beta3.ProcessorVersion]. + + Attributes: + training_documents (google.cloud.documentai_v1beta3.types.BatchDocumentsInputConfig): + The documents used for training the new + version. + test_documents (google.cloud.documentai_v1beta3.types.BatchDocumentsInputConfig): + The documents used for testing the trained + version. + """ + + training_documents: document_io.BatchDocumentsInputConfig = proto.Field( + proto.MESSAGE, + number=3, + message=document_io.BatchDocumentsInputConfig, + ) + test_documents: document_io.BatchDocumentsInputConfig = proto.Field( + proto.MESSAGE, + number=4, + message=document_io.BatchDocumentsInputConfig, + ) + + class CustomDocumentExtractionOptions(proto.Message): + r"""Options to control the training of the Custom Document + Extraction (CDE) Processor. + + Attributes: + training_method (google.cloud.documentai_v1beta3.types.TrainProcessorVersionRequest.CustomDocumentExtractionOptions.TrainingMethod): + Training method to use for CDE training. + """ + class TrainingMethod(proto.Enum): + r"""Training Method for CDE. ``TRAINING_METHOD_UNSPECIFIED`` will fall + back to ``MODEL_BASED``. + + Values: + TRAINING_METHOD_UNSPECIFIED (0): + No description available. + MODEL_BASED (1): + No description available. + TEMPLATE_BASED (2): + No description available. + """ + TRAINING_METHOD_UNSPECIFIED = 0 + MODEL_BASED = 1 + TEMPLATE_BASED = 2 + + training_method: 'TrainProcessorVersionRequest.CustomDocumentExtractionOptions.TrainingMethod' = proto.Field( + proto.ENUM, + number=3, + enum='TrainProcessorVersionRequest.CustomDocumentExtractionOptions.TrainingMethod', + ) + + class FoundationModelTuningOptions(proto.Message): + r"""Options to control foundation model tuning of the processor. + + Attributes: + train_steps (int): + Optional. The number of steps to run for + model tuning. Valid values are between 1 and + 400. If not provided, recommended steps will be + used. + learning_rate_multiplier (float): + Optional. The multiplier to apply to the + recommended learning rate. Valid values are + between 0.1 and 10. If not provided, recommended + learning rate will be used. + """ + + train_steps: int = proto.Field( + proto.INT32, + number=2, + ) + learning_rate_multiplier: float = proto.Field( + proto.FLOAT, + number=3, + ) + + custom_document_extraction_options: CustomDocumentExtractionOptions = proto.Field( + proto.MESSAGE, + number=5, + oneof='processor_flags', + message=CustomDocumentExtractionOptions, + ) + foundation_model_tuning_options: FoundationModelTuningOptions = proto.Field( + proto.MESSAGE, + number=12, + oneof='processor_flags', + message=FoundationModelTuningOptions, + ) + parent: str = proto.Field( + proto.STRING, + number=1, + ) + processor_version: gcd_processor.ProcessorVersion = proto.Field( + proto.MESSAGE, + number=2, + message=gcd_processor.ProcessorVersion, + ) + document_schema: gcd_document_schema.DocumentSchema = proto.Field( + proto.MESSAGE, + number=10, + message=gcd_document_schema.DocumentSchema, + ) + input_data: InputData = proto.Field( + proto.MESSAGE, + number=4, + message=InputData, + ) + base_processor_version: str = proto.Field( + proto.STRING, + number=8, + ) + + +class TrainProcessorVersionResponse(proto.Message): + r"""The response for + [TrainProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.TrainProcessorVersion]. + + Attributes: + processor_version (str): + The resource name of the processor version + produced by training. + """ + + processor_version: str = proto.Field( + proto.STRING, + number=1, + ) + + +class TrainProcessorVersionMetadata(proto.Message): + r"""The metadata that represents a processor version being + created. + + Attributes: + common_metadata (google.cloud.documentai_v1beta3.types.CommonOperationMetadata): + The basic metadata of the long-running + operation. + training_dataset_validation (google.cloud.documentai_v1beta3.types.TrainProcessorVersionMetadata.DatasetValidation): + The training dataset validation information. + test_dataset_validation (google.cloud.documentai_v1beta3.types.TrainProcessorVersionMetadata.DatasetValidation): + The test dataset validation information. + """ + + class DatasetValidation(proto.Message): + r"""The dataset validation information. + This includes any and all errors with documents and the dataset. + + Attributes: + document_error_count (int): + The total number of document errors. + dataset_error_count (int): + The total number of dataset errors. + document_errors (MutableSequence[google.rpc.status_pb2.Status]): + Error information pertaining to specific + documents. A maximum of 10 document errors will + be returned. Any document with errors will not + be used throughout training. + dataset_errors (MutableSequence[google.rpc.status_pb2.Status]): + Error information for the dataset as a whole. + A maximum of 10 dataset errors will be returned. + A single dataset error is terminal for training. + """ + + document_error_count: int = proto.Field( + proto.INT32, + number=3, + ) + dataset_error_count: int = proto.Field( + proto.INT32, + number=4, + ) + document_errors: MutableSequence[status_pb2.Status] = proto.RepeatedField( + proto.MESSAGE, + number=1, + message=status_pb2.Status, + ) + dataset_errors: MutableSequence[status_pb2.Status] = proto.RepeatedField( + proto.MESSAGE, + number=2, + message=status_pb2.Status, + ) + + common_metadata: operation_metadata.CommonOperationMetadata = proto.Field( + proto.MESSAGE, + number=1, + message=operation_metadata.CommonOperationMetadata, + ) + training_dataset_validation: DatasetValidation = proto.Field( + proto.MESSAGE, + number=2, + message=DatasetValidation, + ) + test_dataset_validation: DatasetValidation = proto.Field( + proto.MESSAGE, + number=3, + message=DatasetValidation, + ) + + +class ReviewDocumentRequest(proto.Message): + r"""Request message for the + [ReviewDocument][google.cloud.documentai.v1beta3.DocumentProcessorService.ReviewDocument] + method. + + + .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields + + Attributes: + inline_document (google.cloud.documentai_v1beta3.types.Document): + An inline document proto. + + This field is a member of `oneof`_ ``source``. + human_review_config (str): + Required. The resource name of the + [HumanReviewConfig][google.cloud.documentai.v1beta3.HumanReviewConfig] + that the document will be reviewed with. + document (google.cloud.documentai_v1beta3.types.Document): + The document that needs human review. + enable_schema_validation (bool): + Whether the validation should be performed on + the ad-hoc review request. + priority (google.cloud.documentai_v1beta3.types.ReviewDocumentRequest.Priority): + The priority of the human review task. + document_schema (google.cloud.documentai_v1beta3.types.DocumentSchema): + The document schema of the human review task. + """ + class Priority(proto.Enum): + r"""The priority level of the human review task. + + Values: + DEFAULT (0): + The default priority level. + URGENT (1): + The urgent priority level. The labeling + manager should allocate labeler resource to the + urgent task queue to respect this priority + level. + """ + DEFAULT = 0 + URGENT = 1 + + inline_document: gcd_document.Document = proto.Field( + proto.MESSAGE, + number=4, + oneof='source', + message=gcd_document.Document, + ) + human_review_config: str = proto.Field( + proto.STRING, + number=1, + ) + document: gcd_document.Document = proto.Field( + proto.MESSAGE, + number=2, + message=gcd_document.Document, + ) + enable_schema_validation: bool = proto.Field( + proto.BOOL, + number=3, + ) + priority: Priority = proto.Field( + proto.ENUM, + number=5, + enum=Priority, + ) + document_schema: gcd_document_schema.DocumentSchema = proto.Field( + proto.MESSAGE, + number=6, + message=gcd_document_schema.DocumentSchema, + ) + + +class ReviewDocumentResponse(proto.Message): + r"""Response message for the + [ReviewDocument][google.cloud.documentai.v1beta3.DocumentProcessorService.ReviewDocument] + method. + + Attributes: + gcs_destination (str): + The Cloud Storage uri for the human reviewed + document if the review is succeeded. + state (google.cloud.documentai_v1beta3.types.ReviewDocumentResponse.State): + The state of the review operation. + rejection_reason (str): + The reason why the review is rejected by + reviewer. + """ + class State(proto.Enum): + r"""Possible states of the review operation. + + Values: + STATE_UNSPECIFIED (0): + The default value. This value is used if the + state is omitted. + REJECTED (1): + The review operation is rejected by the + reviewer. + SUCCEEDED (2): + The review operation is succeeded. + """ + STATE_UNSPECIFIED = 0 + REJECTED = 1 + SUCCEEDED = 2 + + gcs_destination: str = proto.Field( + proto.STRING, + number=1, + ) + state: State = proto.Field( + proto.ENUM, + number=2, + enum=State, + ) + rejection_reason: str = proto.Field( + proto.STRING, + number=3, + ) + + +class ReviewDocumentOperationMetadata(proto.Message): + r"""The long-running operation metadata for the + [ReviewDocument][google.cloud.documentai.v1beta3.DocumentProcessorService.ReviewDocument] + method. + + Attributes: + state (google.cloud.documentai_v1beta3.types.ReviewDocumentOperationMetadata.State): + Used only when Operation.done is false. + state_message (str): + A message providing more details about the + current state of processing. For example, the + error message if the operation is failed. + create_time (google.protobuf.timestamp_pb2.Timestamp): + The creation time of the operation. + update_time (google.protobuf.timestamp_pb2.Timestamp): + The last update time of the operation. + common_metadata (google.cloud.documentai_v1beta3.types.CommonOperationMetadata): + The basic metadata of the long-running + operation. + question_id (str): + The Crowd Compute question ID. + """ + class State(proto.Enum): + r"""State of the long-running operation. + + Values: + STATE_UNSPECIFIED (0): + Unspecified state. + RUNNING (1): + Operation is still running. + CANCELLING (2): + Operation is being cancelled. + SUCCEEDED (3): + Operation succeeded. + FAILED (4): + Operation failed. + CANCELLED (5): + Operation is cancelled. + """ + STATE_UNSPECIFIED = 0 + RUNNING = 1 + CANCELLING = 2 + SUCCEEDED = 3 + FAILED = 4 + CANCELLED = 5 + + state: State = proto.Field( + proto.ENUM, + number=1, + enum=State, + ) + state_message: str = proto.Field( + proto.STRING, + number=2, + ) + create_time: timestamp_pb2.Timestamp = proto.Field( + proto.MESSAGE, + number=3, + message=timestamp_pb2.Timestamp, + ) + update_time: timestamp_pb2.Timestamp = proto.Field( + proto.MESSAGE, + number=4, + message=timestamp_pb2.Timestamp, + ) + common_metadata: operation_metadata.CommonOperationMetadata = proto.Field( + proto.MESSAGE, + number=5, + message=operation_metadata.CommonOperationMetadata, + ) + question_id: str = proto.Field( + proto.STRING, + number=6, + ) + + +class EvaluateProcessorVersionRequest(proto.Message): + r"""Evaluates the given + [ProcessorVersion][google.cloud.documentai.v1beta3.ProcessorVersion] + against the supplied documents. + + Attributes: + processor_version (str): + Required. The resource name of the + [ProcessorVersion][google.cloud.documentai.v1beta3.ProcessorVersion] + to evaluate. + ``projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processorVersion}`` + evaluation_documents (google.cloud.documentai_v1beta3.types.BatchDocumentsInputConfig): + Optional. The documents used in the + evaluation. If unspecified, use the processor's + dataset as evaluation input. + """ + + processor_version: str = proto.Field( + proto.STRING, + number=1, + ) + evaluation_documents: document_io.BatchDocumentsInputConfig = proto.Field( + proto.MESSAGE, + number=3, + message=document_io.BatchDocumentsInputConfig, + ) + + +class EvaluateProcessorVersionMetadata(proto.Message): + r"""Metadata of the + [EvaluateProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.EvaluateProcessorVersion] + method. + + Attributes: + common_metadata (google.cloud.documentai_v1beta3.types.CommonOperationMetadata): + The basic metadata of the long-running + operation. + """ + + common_metadata: operation_metadata.CommonOperationMetadata = proto.Field( + proto.MESSAGE, + number=1, + message=operation_metadata.CommonOperationMetadata, + ) + + +class EvaluateProcessorVersionResponse(proto.Message): + r"""Response of the + [EvaluateProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.EvaluateProcessorVersion] + method. + + Attributes: + evaluation (str): + The resource name of the created evaluation. + """ + + evaluation: str = proto.Field( + proto.STRING, + number=2, + ) + + +class GetEvaluationRequest(proto.Message): + r"""Retrieves a specific Evaluation. + + Attributes: + name (str): + Required. The resource name of the + [Evaluation][google.cloud.documentai.v1beta3.Evaluation] to + get. + ``projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processorVersion}/evaluations/{evaluation}`` + """ + + name: str = proto.Field( + proto.STRING, + number=1, + ) + + +class ListEvaluationsRequest(proto.Message): + r"""Retrieves a list of evaluations for a given + [ProcessorVersion][google.cloud.documentai.v1beta3.ProcessorVersion]. + + Attributes: + parent (str): + Required. The resource name of the + [ProcessorVersion][google.cloud.documentai.v1beta3.ProcessorVersion] + to list evaluations for. + ``projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processorVersion}`` + page_size (int): + The standard list page size. If unspecified, at most ``5`` + evaluations are returned. The maximum value is ``100``. + Values above ``100`` are coerced to ``100``. + page_token (str): + A page token, received from a previous ``ListEvaluations`` + call. Provide this to retrieve the subsequent page. + """ + + parent: str = proto.Field( + proto.STRING, + number=1, + ) + page_size: int = proto.Field( + proto.INT32, + number=2, + ) + page_token: str = proto.Field( + proto.STRING, + number=3, + ) + + +class ListEvaluationsResponse(proto.Message): + r"""The response from ``ListEvaluations``. + + Attributes: + evaluations (MutableSequence[google.cloud.documentai_v1beta3.types.Evaluation]): + The evaluations requested. + next_page_token (str): + A token, which can be sent as ``page_token`` to retrieve the + next page. If this field is omitted, there are no subsequent + pages. + """ + + @property + def raw_page(self): + return self + + evaluations: MutableSequence[gcd_evaluation.Evaluation] = proto.RepeatedField( + proto.MESSAGE, + number=1, + message=gcd_evaluation.Evaluation, + ) + next_page_token: str = proto.Field( + proto.STRING, + number=2, + ) + + +class ImportProcessorVersionRequest(proto.Message): + r"""The request message for the + [ImportProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.ImportProcessorVersion] + method. + + The Document AI `Service + Agent `__ of the + destination project must have `Document AI Editor + role `__ + on the source project. + + The destination project is specified as part of the + [parent][google.cloud.documentai.v1beta3.ImportProcessorVersionRequest.parent] + field. The source project is specified as part of the + [source][google.cloud.documentai.v1beta3.ImportProcessorVersionRequest.processor_version_source] + or + [external_processor_version_source][google.cloud.documentai.v1beta3.ImportProcessorVersionRequest.external_processor_version_source] + field. + + This message has `oneof`_ fields (mutually exclusive fields). + For each oneof, at most one member field can be set at the same time. + Setting any member of the oneof automatically clears all other + members. + + .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields + + Attributes: + processor_version_source (str): + The source processor version to import from. The source + processor version and destination processor need to be in + the same environment and region. Note that ProcessorVersions + with ``model_type`` ``MODEL_TYPE_LLM`` are not supported. + + This field is a member of `oneof`_ ``source``. + external_processor_version_source (google.cloud.documentai_v1beta3.types.ImportProcessorVersionRequest.ExternalProcessorVersionSource): + The source processor version to import from. + It can be from a different environment and + region than the destination processor. + + This field is a member of `oneof`_ ``source``. + parent (str): + Required. The destination processor name to create the + processor version in. Format: + ``projects/{project}/locations/{location}/processors/{processor}`` + """ + + class ExternalProcessorVersionSource(proto.Message): + r"""The external source processor version. + + Attributes: + processor_version (str): + Required. The processor version name. Format: + ``projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processorVersion}`` + service_endpoint (str): + Optional. The Document AI service endpoint. + For example, + 'https://us-documentai.googleapis.com' + """ + + processor_version: str = proto.Field( + proto.STRING, + number=1, + ) + service_endpoint: str = proto.Field( + proto.STRING, + number=2, + ) + + processor_version_source: str = proto.Field( + proto.STRING, + number=2, + oneof='source', + ) + external_processor_version_source: ExternalProcessorVersionSource = proto.Field( + proto.MESSAGE, + number=3, + oneof='source', + message=ExternalProcessorVersionSource, + ) + parent: str = proto.Field( + proto.STRING, + number=1, + ) + + +class ImportProcessorVersionResponse(proto.Message): + r"""The response message for the + [ImportProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.ImportProcessorVersion] + method. + + Attributes: + processor_version (str): + The destination processor version name. + """ + + processor_version: str = proto.Field( + proto.STRING, + number=1, + ) + + +class ImportProcessorVersionMetadata(proto.Message): + r"""The long-running operation metadata for the + [ImportProcessorVersion][google.cloud.documentai.v1beta3.DocumentProcessorService.ImportProcessorVersion] + method. + + Attributes: + common_metadata (google.cloud.documentai_v1beta3.types.CommonOperationMetadata): + The basic metadata for the long-running + operation. + """ + + common_metadata: operation_metadata.CommonOperationMetadata = proto.Field( + proto.MESSAGE, + number=1, + message=operation_metadata.CommonOperationMetadata, + ) + + +__all__ = tuple(sorted(__protobuf__.manifest)) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/types/document_schema.py b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/types/document_schema.py new file mode 100644 index 000000000000..64327085681b --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/types/document_schema.py @@ -0,0 +1,383 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from __future__ import annotations + +from typing import MutableMapping, MutableSequence + +import proto # type: ignore + + +__protobuf__ = proto.module( + package='google.cloud.documentai.v1beta3', + manifest={ + 'SummaryOptions', + 'FieldExtractionMetadata', + 'PropertyMetadata', + 'EntityTypeMetadata', + 'DocumentSchema', + }, +) + + +class SummaryOptions(proto.Message): + r"""Metadata for document summarization. + + Attributes: + length (google.cloud.documentai_v1beta3.types.SummaryOptions.Length): + How long the summary should be. + format_ (google.cloud.documentai_v1beta3.types.SummaryOptions.Format): + The format the summary should be in. + """ + class Length(proto.Enum): + r"""The Length enum. + + Values: + LENGTH_UNSPECIFIED (0): + Default. + BRIEF (1): + A brief summary of one or two sentences. + MODERATE (2): + A paragraph-length summary. + COMPREHENSIVE (3): + The longest option available. + """ + LENGTH_UNSPECIFIED = 0 + BRIEF = 1 + MODERATE = 2 + COMPREHENSIVE = 3 + + class Format(proto.Enum): + r"""The Format enum. + + Values: + FORMAT_UNSPECIFIED (0): + Default. + PARAGRAPH (1): + Format the output in paragraphs. + BULLETS (2): + Format the output in bullets. + """ + FORMAT_UNSPECIFIED = 0 + PARAGRAPH = 1 + BULLETS = 2 + + length: Length = proto.Field( + proto.ENUM, + number=1, + enum=Length, + ) + format_: Format = proto.Field( + proto.ENUM, + number=2, + enum=Format, + ) + + +class FieldExtractionMetadata(proto.Message): + r"""Metadata for how this field value is extracted. + + Attributes: + summary_options (google.cloud.documentai_v1beta3.types.SummaryOptions): + Summary options config. + """ + + summary_options: 'SummaryOptions' = proto.Field( + proto.MESSAGE, + number=2, + message='SummaryOptions', + ) + + +class PropertyMetadata(proto.Message): + r"""Metadata about a property. + + Attributes: + inactive (bool): + Whether the property should be considered as + "inactive". + field_extraction_metadata (google.cloud.documentai_v1beta3.types.FieldExtractionMetadata): + Field extraction metadata on the property. + """ + + inactive: bool = proto.Field( + proto.BOOL, + number=3, + ) + field_extraction_metadata: 'FieldExtractionMetadata' = proto.Field( + proto.MESSAGE, + number=9, + message='FieldExtractionMetadata', + ) + + +class EntityTypeMetadata(proto.Message): + r"""Metadata about an entity type. + + Attributes: + inactive (bool): + Whether the entity type should be considered + inactive. + """ + + inactive: bool = proto.Field( + proto.BOOL, + number=5, + ) + + +class DocumentSchema(proto.Message): + r"""The schema defines the output of the processed document by a + processor. + + Attributes: + display_name (str): + Display name to show to users. + description (str): + Description of the schema. + entity_types (MutableSequence[google.cloud.documentai_v1beta3.types.DocumentSchema.EntityType]): + Entity types of the schema. + metadata (google.cloud.documentai_v1beta3.types.DocumentSchema.Metadata): + Metadata of the schema. + """ + + class EntityType(proto.Message): + r"""EntityType is the wrapper of a label of the corresponding + model with detailed attributes and limitations for entity-based + processors. Multiple types can also compose a dependency tree to + represent nested types. + + + .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields + + Attributes: + enum_values (google.cloud.documentai_v1beta3.types.DocumentSchema.EntityType.EnumValues): + If specified, lists all the possible values for this entity. + This should not be more than a handful of values. If the + number of values is >10 or could change frequently use the + ``EntityType.value_ontology`` field and specify a list of + all possible values in a value ontology file. + + This field is a member of `oneof`_ ``value_source``. + display_name (str): + User defined name for the type. + name (str): + Name of the type. It must be unique within the schema file + and cannot be a "Common Type". The following naming + conventions are used: + + - Use ``snake_casing``. + - Name matching is case-sensitive. + - Maximum 64 characters. + - Must start with a letter. + - Allowed characters: ASCII letters ``[a-z0-9_-]``. (For + backward compatibility internal infrastructure and + tooling can handle any ascii character.) + - The ``/`` is sometimes used to denote a property of a + type. For example ``line_item/amount``. This convention + is deprecated, but will still be honored for backward + compatibility. + base_types (MutableSequence[str]): + The entity type that this type is derived + from. For now, one and only one should be set. + properties (MutableSequence[google.cloud.documentai_v1beta3.types.DocumentSchema.EntityType.Property]): + Description the nested structure, or + composition of an entity. + entity_type_metadata (google.cloud.documentai_v1beta3.types.EntityTypeMetadata): + Metadata for the entity type. + """ + + class EnumValues(proto.Message): + r"""Defines the a list of enum values. + + Attributes: + values (MutableSequence[str]): + The individual values that this enum values + type can include. + """ + + values: MutableSequence[str] = proto.RepeatedField( + proto.STRING, + number=1, + ) + + class Property(proto.Message): + r"""Defines properties that can be part of the entity type. + + Attributes: + name (str): + The name of the property. Follows the same + guidelines as the EntityType name. + display_name (str): + User defined name for the property. + value_type (str): + A reference to the value type of the property. This type is + subject to the same conventions as the ``Entity.base_types`` + field. + occurrence_type (google.cloud.documentai_v1beta3.types.DocumentSchema.EntityType.Property.OccurrenceType): + Occurrence type limits the number of + instances an entity type appears in the + document. + property_metadata (google.cloud.documentai_v1beta3.types.PropertyMetadata): + Any additional metadata about the property + can be added here. + """ + class OccurrenceType(proto.Enum): + r"""Types of occurrences of the entity type in the document. This + represents the number of instances, not mentions, of an entity. For + example, a bank statement might only have one ``account_number``, + but this account number can be mentioned in several places on the + document. In this case, the ``account_number`` is considered a + ``REQUIRED_ONCE`` entity type. If, on the other hand, we expect a + bank statement to contain the status of multiple different accounts + for the customers, the occurrence type is set to + ``REQUIRED_MULTIPLE``. + + Values: + OCCURRENCE_TYPE_UNSPECIFIED (0): + Unspecified occurrence type. + OPTIONAL_ONCE (1): + There will be zero or one instance of this + entity type. The same entity instance may be + mentioned multiple times. + OPTIONAL_MULTIPLE (2): + The entity type will appear zero or multiple + times. + REQUIRED_ONCE (3): + The entity type will only appear exactly + once. The same entity instance may be mentioned + multiple times. + REQUIRED_MULTIPLE (4): + The entity type will appear once or more + times. + """ + OCCURRENCE_TYPE_UNSPECIFIED = 0 + OPTIONAL_ONCE = 1 + OPTIONAL_MULTIPLE = 2 + REQUIRED_ONCE = 3 + REQUIRED_MULTIPLE = 4 + + name: str = proto.Field( + proto.STRING, + number=1, + ) + display_name: str = proto.Field( + proto.STRING, + number=6, + ) + value_type: str = proto.Field( + proto.STRING, + number=2, + ) + occurrence_type: 'DocumentSchema.EntityType.Property.OccurrenceType' = proto.Field( + proto.ENUM, + number=3, + enum='DocumentSchema.EntityType.Property.OccurrenceType', + ) + property_metadata: 'PropertyMetadata' = proto.Field( + proto.MESSAGE, + number=5, + message='PropertyMetadata', + ) + + enum_values: 'DocumentSchema.EntityType.EnumValues' = proto.Field( + proto.MESSAGE, + number=14, + oneof='value_source', + message='DocumentSchema.EntityType.EnumValues', + ) + display_name: str = proto.Field( + proto.STRING, + number=13, + ) + name: str = proto.Field( + proto.STRING, + number=1, + ) + base_types: MutableSequence[str] = proto.RepeatedField( + proto.STRING, + number=2, + ) + properties: MutableSequence['DocumentSchema.EntityType.Property'] = proto.RepeatedField( + proto.MESSAGE, + number=6, + message='DocumentSchema.EntityType.Property', + ) + entity_type_metadata: 'EntityTypeMetadata' = proto.Field( + proto.MESSAGE, + number=11, + message='EntityTypeMetadata', + ) + + class Metadata(proto.Message): + r"""Metadata for global schema behavior. + + Attributes: + document_splitter (bool): + If true, a ``document`` entity type can be applied to + subdocument (splitting). Otherwise, it can only be applied + to the entire document (classification). + document_allow_multiple_labels (bool): + If true, on a given page, there can be multiple ``document`` + annotations covering it. + prefixed_naming_on_properties (bool): + If set, all the nested entities must be + prefixed with the parents. + skip_naming_validation (bool): + If set, we will skip the naming format validation in the + schema. So the string values in + ``DocumentSchema.EntityType.name`` and + ``DocumentSchema.EntityType.Property.name`` will not be + checked. + """ + + document_splitter: bool = proto.Field( + proto.BOOL, + number=1, + ) + document_allow_multiple_labels: bool = proto.Field( + proto.BOOL, + number=2, + ) + prefixed_naming_on_properties: bool = proto.Field( + proto.BOOL, + number=6, + ) + skip_naming_validation: bool = proto.Field( + proto.BOOL, + number=7, + ) + + display_name: str = proto.Field( + proto.STRING, + number=1, + ) + description: str = proto.Field( + proto.STRING, + number=2, + ) + entity_types: MutableSequence[EntityType] = proto.RepeatedField( + proto.MESSAGE, + number=3, + message=EntityType, + ) + metadata: Metadata = proto.Field( + proto.MESSAGE, + number=4, + message=Metadata, + ) + + +__all__ = tuple(sorted(__protobuf__.manifest)) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/types/document_service.py b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/types/document_service.py new file mode 100644 index 000000000000..3ec84003122f --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/types/document_service.py @@ -0,0 +1,703 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from __future__ import annotations + +from typing import MutableMapping, MutableSequence + +import proto # type: ignore + +from google.cloud.documentai_v1beta3.types import dataset as gcd_dataset +from google.cloud.documentai_v1beta3.types import document as gcd_document +from google.cloud.documentai_v1beta3.types import document_io +from google.cloud.documentai_v1beta3.types import operation_metadata +from google.protobuf import field_mask_pb2 # type: ignore +from google.rpc import status_pb2 # type: ignore + + +__protobuf__ = proto.module( + package='google.cloud.documentai.v1beta3', + manifest={ + 'DatasetSplitType', + 'DocumentLabelingState', + 'UpdateDatasetRequest', + 'UpdateDatasetOperationMetadata', + 'ImportDocumentsRequest', + 'ImportDocumentsResponse', + 'ImportDocumentsMetadata', + 'GetDocumentRequest', + 'GetDocumentResponse', + 'ListDocumentsRequest', + 'ListDocumentsResponse', + 'BatchDeleteDocumentsRequest', + 'BatchDeleteDocumentsResponse', + 'BatchDeleteDocumentsMetadata', + 'GetDatasetSchemaRequest', + 'UpdateDatasetSchemaRequest', + 'DocumentPageRange', + 'DocumentMetadata', + }, +) + + +class DatasetSplitType(proto.Enum): + r"""Documents belonging to a dataset will be split into different + groups referred to as splits: train, test. + + Values: + DATASET_SPLIT_TYPE_UNSPECIFIED (0): + Default value if the enum is not set. + DATASET_SPLIT_TRAIN (1): + Identifies the train documents. + DATASET_SPLIT_TEST (2): + Identifies the test documents. + DATASET_SPLIT_UNASSIGNED (3): + Identifies the unassigned documents. + """ + DATASET_SPLIT_TYPE_UNSPECIFIED = 0 + DATASET_SPLIT_TRAIN = 1 + DATASET_SPLIT_TEST = 2 + DATASET_SPLIT_UNASSIGNED = 3 + + +class DocumentLabelingState(proto.Enum): + r"""Describes the labeling status of a document. + + Values: + DOCUMENT_LABELING_STATE_UNSPECIFIED (0): + Default value if the enum is not set. + DOCUMENT_LABELED (1): + Document has been labeled. + DOCUMENT_UNLABELED (2): + Document has not been labeled. + DOCUMENT_AUTO_LABELED (3): + Document has been auto-labeled. + """ + DOCUMENT_LABELING_STATE_UNSPECIFIED = 0 + DOCUMENT_LABELED = 1 + DOCUMENT_UNLABELED = 2 + DOCUMENT_AUTO_LABELED = 3 + + +class UpdateDatasetRequest(proto.Message): + r""" + + Attributes: + dataset (google.cloud.documentai_v1beta3.types.Dataset): + Required. The ``name`` field of the ``Dataset`` is used to + identify the resource to be updated. + update_mask (google.protobuf.field_mask_pb2.FieldMask): + The update mask applies to the resource. + """ + + dataset: gcd_dataset.Dataset = proto.Field( + proto.MESSAGE, + number=1, + message=gcd_dataset.Dataset, + ) + update_mask: field_mask_pb2.FieldMask = proto.Field( + proto.MESSAGE, + number=2, + message=field_mask_pb2.FieldMask, + ) + + +class UpdateDatasetOperationMetadata(proto.Message): + r""" + + Attributes: + common_metadata (google.cloud.documentai_v1beta3.types.CommonOperationMetadata): + The basic metadata of the long-running + operation. + """ + + common_metadata: operation_metadata.CommonOperationMetadata = proto.Field( + proto.MESSAGE, + number=1, + message=operation_metadata.CommonOperationMetadata, + ) + + +class ImportDocumentsRequest(proto.Message): + r""" + + Attributes: + dataset (str): + Required. The dataset resource name. + Format: + + projects/{project}/locations/{location}/processors/{processor}/dataset + batch_documents_import_configs (MutableSequence[google.cloud.documentai_v1beta3.types.ImportDocumentsRequest.BatchDocumentsImportConfig]): + Required. The Cloud Storage uri containing + raw documents that must be imported. + """ + + class BatchDocumentsImportConfig(proto.Message): + r"""Config for importing documents. + Each batch can have its own dataset split type. + + This message has `oneof`_ fields (mutually exclusive fields). + For each oneof, at most one member field can be set at the same time. + Setting any member of the oneof automatically clears all other + members. + + .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields + + Attributes: + dataset_split (google.cloud.documentai_v1beta3.types.DatasetSplitType): + Target dataset split where the documents must + be stored. + + This field is a member of `oneof`_ ``split_type_config``. + auto_split_config (google.cloud.documentai_v1beta3.types.ImportDocumentsRequest.BatchDocumentsImportConfig.AutoSplitConfig): + If set, documents will be automatically split + into training and test split category with the + specified ratio. + + This field is a member of `oneof`_ ``split_type_config``. + batch_input_config (google.cloud.documentai_v1beta3.types.BatchDocumentsInputConfig): + The common config to specify a set of + documents used as input. + """ + + class AutoSplitConfig(proto.Message): + r"""The config for auto-split. + + Attributes: + training_split_ratio (float): + Ratio of training dataset split. + """ + + training_split_ratio: float = proto.Field( + proto.FLOAT, + number=1, + ) + + dataset_split: 'DatasetSplitType' = proto.Field( + proto.ENUM, + number=2, + oneof='split_type_config', + enum='DatasetSplitType', + ) + auto_split_config: 'ImportDocumentsRequest.BatchDocumentsImportConfig.AutoSplitConfig' = proto.Field( + proto.MESSAGE, + number=3, + oneof='split_type_config', + message='ImportDocumentsRequest.BatchDocumentsImportConfig.AutoSplitConfig', + ) + batch_input_config: document_io.BatchDocumentsInputConfig = proto.Field( + proto.MESSAGE, + number=1, + message=document_io.BatchDocumentsInputConfig, + ) + + dataset: str = proto.Field( + proto.STRING, + number=1, + ) + batch_documents_import_configs: MutableSequence[BatchDocumentsImportConfig] = proto.RepeatedField( + proto.MESSAGE, + number=4, + message=BatchDocumentsImportConfig, + ) + + +class ImportDocumentsResponse(proto.Message): + r"""Response of the import document operation. + """ + + +class ImportDocumentsMetadata(proto.Message): + r"""Metadata of the import document operation. + + Attributes: + common_metadata (google.cloud.documentai_v1beta3.types.CommonOperationMetadata): + The basic metadata of the long-running + operation. + individual_import_statuses (MutableSequence[google.cloud.documentai_v1beta3.types.ImportDocumentsMetadata.IndividualImportStatus]): + The list of response details of each + document. + import_config_validation_results (MutableSequence[google.cloud.documentai_v1beta3.types.ImportDocumentsMetadata.ImportConfigValidationResult]): + Validation statuses of the batch documents + import config. + total_document_count (int): + Total number of the documents that are + qualified for importing. + """ + + class IndividualImportStatus(proto.Message): + r"""The status of each individual document in the import process. + + Attributes: + input_gcs_source (str): + The source Cloud Storage URI of the document. + status (google.rpc.status_pb2.Status): + The status of the importing of the document. + output_document_id (google.cloud.documentai_v1beta3.types.DocumentId): + The document id of imported document if it + was successful, otherwise empty. + """ + + input_gcs_source: str = proto.Field( + proto.STRING, + number=1, + ) + status: status_pb2.Status = proto.Field( + proto.MESSAGE, + number=2, + message=status_pb2.Status, + ) + output_document_id: gcd_dataset.DocumentId = proto.Field( + proto.MESSAGE, + number=4, + message=gcd_dataset.DocumentId, + ) + + class ImportConfigValidationResult(proto.Message): + r"""The validation status of each import config. Status is set to an + error if there are no documents to import in the ``import_config``, + or ``OK`` if the operation will try to proceed with at least one + document. + + Attributes: + input_gcs_source (str): + The source Cloud Storage URI specified in the + import config. + status (google.rpc.status_pb2.Status): + The validation status of import config. + """ + + input_gcs_source: str = proto.Field( + proto.STRING, + number=1, + ) + status: status_pb2.Status = proto.Field( + proto.MESSAGE, + number=2, + message=status_pb2.Status, + ) + + common_metadata: operation_metadata.CommonOperationMetadata = proto.Field( + proto.MESSAGE, + number=1, + message=operation_metadata.CommonOperationMetadata, + ) + individual_import_statuses: MutableSequence[IndividualImportStatus] = proto.RepeatedField( + proto.MESSAGE, + number=2, + message=IndividualImportStatus, + ) + import_config_validation_results: MutableSequence[ImportConfigValidationResult] = proto.RepeatedField( + proto.MESSAGE, + number=4, + message=ImportConfigValidationResult, + ) + total_document_count: int = proto.Field( + proto.INT32, + number=3, + ) + + +class GetDocumentRequest(proto.Message): + r""" + + Attributes: + dataset (str): + Required. The resource name of the dataset + that the document belongs to . Format: + + projects/{project}/locations/{location}/processors/{processor}/dataset + document_id (google.cloud.documentai_v1beta3.types.DocumentId): + Required. Document identifier. + read_mask (google.protobuf.field_mask_pb2.FieldMask): + If set, only fields listed here will be + returned. Otherwise, all fields will be returned + by default. + page_range (google.cloud.documentai_v1beta3.types.DocumentPageRange): + List of pages for which the fields specified in the + ``read_mask`` must be served. + """ + + dataset: str = proto.Field( + proto.STRING, + number=1, + ) + document_id: gcd_dataset.DocumentId = proto.Field( + proto.MESSAGE, + number=2, + message=gcd_dataset.DocumentId, + ) + read_mask: field_mask_pb2.FieldMask = proto.Field( + proto.MESSAGE, + number=3, + message=field_mask_pb2.FieldMask, + ) + page_range: 'DocumentPageRange' = proto.Field( + proto.MESSAGE, + number=4, + message='DocumentPageRange', + ) + + +class GetDocumentResponse(proto.Message): + r""" + + Attributes: + document (google.cloud.documentai_v1beta3.types.Document): + + """ + + document: gcd_document.Document = proto.Field( + proto.MESSAGE, + number=1, + message=gcd_document.Document, + ) + + +class ListDocumentsRequest(proto.Message): + r""" + + Attributes: + dataset (str): + Required. The resource name of the dataset to + be listed. Format: + + projects/{project}/locations/{location}/processors/{processor}/dataset + page_size (int): + The maximum number of documents to return. + The service may return fewer than this value. If + unspecified, at most 20 documents will be + returned. The maximum value is 100; values above + 100 will be coerced to 100. + page_token (str): + A page token, received from a previous ``ListDocuments`` + call. Provide this to retrieve the subsequent page. + + When paginating, all other parameters provided to + ``ListDocuments`` must match the call that provided the page + token. + filter (str): + Optional. Query to filter the documents based on + https://google.aip.dev/160. + + Currently support query strings are: + ------------------------------------ + + ``SplitType=DATASET_SPLIT_TEST|DATASET_SPLIT_TRAIN|DATASET_SPLIT_UNASSIGNED`` + + - ``LabelingState=DOCUMENT_LABELED|DOCUMENT_UNLABELED|DOCUMENT_AUTO_LABELED`` + - ``DisplayName=\"file_name.pdf\"`` + - ``EntityType=abc/def`` + - ``TagName=\"auto-labeling-running\"|\"sampled\"`` + + Note: + + - Only ``AND``, ``=`` and ``!=`` are supported. e.g. + ``DisplayName=file_name AND EntityType!=abc`` IS + supported. + - Wildcard ``*`` is supported only in ``DisplayName`` + filter + - No duplicate filter keys are allowed, e.g. + ``EntityType=a AND EntityType=b`` is NOT supported. + - String match is case sensitive (for filter + ``DisplayName`` & ``EntityType``). + return_total_size (bool): + Optional. Controls if the request requires a total size of + matched documents. See + [ListDocumentsResponse.total_size][google.cloud.documentai.v1beta3.ListDocumentsResponse.total_size]. + + Enabling this flag may adversely impact performance. + + Defaults to false. + skip (int): + Optional. Number of results to skip beginning from the + ``page_token`` if provided. + https://google.aip.dev/158#skipping-results. It must be a + non-negative integer. Negative values will be rejected. Note + that this is not the number of pages to skip. If this value + causes the cursor to move past the end of results, + [ListDocumentsResponse.document_metadata][google.cloud.documentai.v1beta3.ListDocumentsResponse.document_metadata] + and + [ListDocumentsResponse.next_page_token][google.cloud.documentai.v1beta3.ListDocumentsResponse.next_page_token] + will be empty. + """ + + dataset: str = proto.Field( + proto.STRING, + number=1, + ) + page_size: int = proto.Field( + proto.INT32, + number=2, + ) + page_token: str = proto.Field( + proto.STRING, + number=3, + ) + filter: str = proto.Field( + proto.STRING, + number=4, + ) + return_total_size: bool = proto.Field( + proto.BOOL, + number=6, + ) + skip: int = proto.Field( + proto.INT32, + number=8, + ) + + +class ListDocumentsResponse(proto.Message): + r""" + + Attributes: + document_metadata (MutableSequence[google.cloud.documentai_v1beta3.types.DocumentMetadata]): + Document metadata corresponding to the listed + documents. + next_page_token (str): + A token, which can be sent as + [ListDocumentsRequest.page_token][google.cloud.documentai.v1beta3.ListDocumentsRequest.page_token] + to retrieve the next page. If this field is omitted, there + are no subsequent pages. + total_size (int): + Total count of documents queried. + """ + + @property + def raw_page(self): + return self + + document_metadata: MutableSequence['DocumentMetadata'] = proto.RepeatedField( + proto.MESSAGE, + number=1, + message='DocumentMetadata', + ) + next_page_token: str = proto.Field( + proto.STRING, + number=2, + ) + total_size: int = proto.Field( + proto.INT32, + number=3, + ) + + +class BatchDeleteDocumentsRequest(proto.Message): + r""" + + Attributes: + dataset (str): + Required. The dataset resource name. + Format: + + projects/{project}/locations/{location}/processors/{processor}/dataset + dataset_documents (google.cloud.documentai_v1beta3.types.BatchDatasetDocuments): + Required. Dataset documents input. If given ``filter``, all + documents satisfying the filter will be deleted. If given + documentIds, a maximum of 50 documents can be deleted in a + batch. The request will be rejected if more than 50 + document_ids are provided. + """ + + dataset: str = proto.Field( + proto.STRING, + number=1, + ) + dataset_documents: gcd_dataset.BatchDatasetDocuments = proto.Field( + proto.MESSAGE, + number=3, + message=gcd_dataset.BatchDatasetDocuments, + ) + + +class BatchDeleteDocumentsResponse(proto.Message): + r"""Response of the delete documents operation. + """ + + +class BatchDeleteDocumentsMetadata(proto.Message): + r""" + + Attributes: + common_metadata (google.cloud.documentai_v1beta3.types.CommonOperationMetadata): + The basic metadata of the long-running + operation. + individual_batch_delete_statuses (MutableSequence[google.cloud.documentai_v1beta3.types.BatchDeleteDocumentsMetadata.IndividualBatchDeleteStatus]): + The list of response details of each + document. + total_document_count (int): + Total number of documents deleting from + dataset. + error_document_count (int): + Total number of documents that failed to be + deleted in storage. + """ + + class IndividualBatchDeleteStatus(proto.Message): + r"""The status of each individual document in the batch delete + process. + + Attributes: + document_id (google.cloud.documentai_v1beta3.types.DocumentId): + The document id of the document. + status (google.rpc.status_pb2.Status): + The status of deleting the document in + storage. + """ + + document_id: gcd_dataset.DocumentId = proto.Field( + proto.MESSAGE, + number=1, + message=gcd_dataset.DocumentId, + ) + status: status_pb2.Status = proto.Field( + proto.MESSAGE, + number=2, + message=status_pb2.Status, + ) + + common_metadata: operation_metadata.CommonOperationMetadata = proto.Field( + proto.MESSAGE, + number=1, + message=operation_metadata.CommonOperationMetadata, + ) + individual_batch_delete_statuses: MutableSequence[IndividualBatchDeleteStatus] = proto.RepeatedField( + proto.MESSAGE, + number=2, + message=IndividualBatchDeleteStatus, + ) + total_document_count: int = proto.Field( + proto.INT32, + number=3, + ) + error_document_count: int = proto.Field( + proto.INT32, + number=4, + ) + + +class GetDatasetSchemaRequest(proto.Message): + r"""Request for ``GetDatasetSchema``. + + Attributes: + name (str): + Required. The dataset schema resource name. + Format: + + projects/{project}/locations/{location}/processors/{processor}/dataset/datasetSchema + visible_fields_only (bool): + If set, only returns the visible fields of + the schema. + """ + + name: str = proto.Field( + proto.STRING, + number=1, + ) + visible_fields_only: bool = proto.Field( + proto.BOOL, + number=2, + ) + + +class UpdateDatasetSchemaRequest(proto.Message): + r"""Request for ``UpdateDatasetSchema``. + + Attributes: + dataset_schema (google.cloud.documentai_v1beta3.types.DatasetSchema): + Required. The name field of the ``DatasetSchema`` is used to + identify the resource to be updated. + update_mask (google.protobuf.field_mask_pb2.FieldMask): + The update mask applies to the resource. + """ + + dataset_schema: gcd_dataset.DatasetSchema = proto.Field( + proto.MESSAGE, + number=1, + message=gcd_dataset.DatasetSchema, + ) + update_mask: field_mask_pb2.FieldMask = proto.Field( + proto.MESSAGE, + number=2, + message=field_mask_pb2.FieldMask, + ) + + +class DocumentPageRange(proto.Message): + r"""Range of pages present in a document. + + Attributes: + start (int): + First page number (one-based index) to be + returned. + end (int): + Last page number (one-based index) to be + returned. + """ + + start: int = proto.Field( + proto.INT32, + number=1, + ) + end: int = proto.Field( + proto.INT32, + number=2, + ) + + +class DocumentMetadata(proto.Message): + r"""Metadata about a document. + + Attributes: + document_id (google.cloud.documentai_v1beta3.types.DocumentId): + Document identifier. + page_count (int): + Number of pages in the document. + dataset_type (google.cloud.documentai_v1beta3.types.DatasetSplitType): + Type of the dataset split to which the + document belongs. + labeling_state (google.cloud.documentai_v1beta3.types.DocumentLabelingState): + Labeling state of the document. + display_name (str): + The display name of the document. + """ + + document_id: gcd_dataset.DocumentId = proto.Field( + proto.MESSAGE, + number=1, + message=gcd_dataset.DocumentId, + ) + page_count: int = proto.Field( + proto.INT32, + number=2, + ) + dataset_type: 'DatasetSplitType' = proto.Field( + proto.ENUM, + number=3, + enum='DatasetSplitType', + ) + labeling_state: 'DocumentLabelingState' = proto.Field( + proto.ENUM, + number=5, + enum='DocumentLabelingState', + ) + display_name: str = proto.Field( + proto.STRING, + number=6, + ) + + +__all__ = tuple(sorted(__protobuf__.manifest)) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/types/evaluation.py b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/types/evaluation.py new file mode 100644 index 000000000000..fa9863620115 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/types/evaluation.py @@ -0,0 +1,344 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from __future__ import annotations + +from typing import MutableMapping, MutableSequence + +import proto # type: ignore + +from google.protobuf import timestamp_pb2 # type: ignore + + +__protobuf__ = proto.module( + package='google.cloud.documentai.v1beta3', + manifest={ + 'EvaluationReference', + 'Evaluation', + }, +) + + +class EvaluationReference(proto.Message): + r"""Gives a short summary of an evaluation, and links to the + evaluation itself. + + Attributes: + operation (str): + The resource name of the Long Running + Operation for the evaluation. + evaluation (str): + The resource name of the evaluation. + aggregate_metrics (google.cloud.documentai_v1beta3.types.Evaluation.Metrics): + An aggregate of the statistics for the + evaluation with fuzzy matching on. + aggregate_metrics_exact (google.cloud.documentai_v1beta3.types.Evaluation.Metrics): + An aggregate of the statistics for the + evaluation with fuzzy matching off. + """ + + operation: str = proto.Field( + proto.STRING, + number=1, + ) + evaluation: str = proto.Field( + proto.STRING, + number=2, + ) + aggregate_metrics: 'Evaluation.Metrics' = proto.Field( + proto.MESSAGE, + number=4, + message='Evaluation.Metrics', + ) + aggregate_metrics_exact: 'Evaluation.Metrics' = proto.Field( + proto.MESSAGE, + number=5, + message='Evaluation.Metrics', + ) + + +class Evaluation(proto.Message): + r"""An evaluation of a ProcessorVersion's performance. + + Attributes: + name (str): + The resource name of the evaluation. Format: + ``projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processor_version}/evaluations/{evaluation}`` + create_time (google.protobuf.timestamp_pb2.Timestamp): + The time that the evaluation was created. + document_counters (google.cloud.documentai_v1beta3.types.Evaluation.Counters): + Counters for the documents used in the + evaluation. + all_entities_metrics (google.cloud.documentai_v1beta3.types.Evaluation.MultiConfidenceMetrics): + Metrics for all the entities in aggregate. + entity_metrics (MutableMapping[str, google.cloud.documentai_v1beta3.types.Evaluation.MultiConfidenceMetrics]): + Metrics across confidence levels, for + different entities. + kms_key_name (str): + The KMS key name used for encryption. + kms_key_version_name (str): + The KMS key version with which data is + encrypted. + """ + + class Counters(proto.Message): + r"""Evaluation counters for the documents that were used. + + Attributes: + input_documents_count (int): + How many documents were sent for evaluation. + invalid_documents_count (int): + How many documents were not included in the + evaluation as they didn't pass validation. + failed_documents_count (int): + How many documents were not included in the + evaluation as Document AI failed to process + them. + evaluated_documents_count (int): + How many documents were used in the + evaluation. + """ + + input_documents_count: int = proto.Field( + proto.INT32, + number=1, + ) + invalid_documents_count: int = proto.Field( + proto.INT32, + number=2, + ) + failed_documents_count: int = proto.Field( + proto.INT32, + number=3, + ) + evaluated_documents_count: int = proto.Field( + proto.INT32, + number=4, + ) + + class Metrics(proto.Message): + r"""Evaluation metrics, either in aggregate or about a specific + entity. + + Attributes: + precision (float): + The calculated precision. + recall (float): + The calculated recall. + f1_score (float): + The calculated f1 score. + predicted_occurrences_count (int): + The amount of occurrences in predicted + documents. + ground_truth_occurrences_count (int): + The amount of occurrences in ground truth + documents. + predicted_document_count (int): + The amount of documents with a predicted + occurrence. + ground_truth_document_count (int): + The amount of documents with a ground truth + occurrence. + true_positives_count (int): + The amount of true positives. + false_positives_count (int): + The amount of false positives. + false_negatives_count (int): + The amount of false negatives. + total_documents_count (int): + The amount of documents that had an + occurrence of this label. + """ + + precision: float = proto.Field( + proto.FLOAT, + number=1, + ) + recall: float = proto.Field( + proto.FLOAT, + number=2, + ) + f1_score: float = proto.Field( + proto.FLOAT, + number=3, + ) + predicted_occurrences_count: int = proto.Field( + proto.INT32, + number=4, + ) + ground_truth_occurrences_count: int = proto.Field( + proto.INT32, + number=5, + ) + predicted_document_count: int = proto.Field( + proto.INT32, + number=10, + ) + ground_truth_document_count: int = proto.Field( + proto.INT32, + number=11, + ) + true_positives_count: int = proto.Field( + proto.INT32, + number=6, + ) + false_positives_count: int = proto.Field( + proto.INT32, + number=7, + ) + false_negatives_count: int = proto.Field( + proto.INT32, + number=8, + ) + total_documents_count: int = proto.Field( + proto.INT32, + number=9, + ) + + class ConfidenceLevelMetrics(proto.Message): + r"""Evaluations metrics, at a specific confidence level. + + Attributes: + confidence_level (float): + The confidence level. + metrics (google.cloud.documentai_v1beta3.types.Evaluation.Metrics): + The metrics at the specific confidence level. + """ + + confidence_level: float = proto.Field( + proto.FLOAT, + number=1, + ) + metrics: 'Evaluation.Metrics' = proto.Field( + proto.MESSAGE, + number=2, + message='Evaluation.Metrics', + ) + + class MultiConfidenceMetrics(proto.Message): + r"""Metrics across multiple confidence levels. + + Attributes: + confidence_level_metrics (MutableSequence[google.cloud.documentai_v1beta3.types.Evaluation.ConfidenceLevelMetrics]): + Metrics across confidence levels with fuzzy + matching enabled. + confidence_level_metrics_exact (MutableSequence[google.cloud.documentai_v1beta3.types.Evaluation.ConfidenceLevelMetrics]): + Metrics across confidence levels with only + exact matching. + auprc (float): + The calculated area under the precision + recall curve (AUPRC), computed by integrating + over all confidence thresholds. + estimated_calibration_error (float): + The Estimated Calibration Error (ECE) of the + confidence of the predicted entities. + auprc_exact (float): + The AUPRC for metrics with fuzzy matching + disabled, i.e., exact matching only. + estimated_calibration_error_exact (float): + The ECE for the predicted entities with fuzzy + matching disabled, i.e., exact matching only. + metrics_type (google.cloud.documentai_v1beta3.types.Evaluation.MultiConfidenceMetrics.MetricsType): + The metrics type for the label. + """ + class MetricsType(proto.Enum): + r"""A type that determines how metrics should be interpreted. + + Values: + METRICS_TYPE_UNSPECIFIED (0): + The metrics type is unspecified. By default, + metrics without a particular specification are + for leaf entity types (i.e., top-level entity + types without child types, or child types which + are not parent types themselves). + AGGREGATE (1): + Indicates whether metrics for this particular + label type represent an aggregate of metrics for + other types instead of being based on actual + TP/FP/FN values for the label type. Metrics for + parent (i.e., non-leaf) entity types are an + aggregate of metrics for their children. + """ + METRICS_TYPE_UNSPECIFIED = 0 + AGGREGATE = 1 + + confidence_level_metrics: MutableSequence['Evaluation.ConfidenceLevelMetrics'] = proto.RepeatedField( + proto.MESSAGE, + number=1, + message='Evaluation.ConfidenceLevelMetrics', + ) + confidence_level_metrics_exact: MutableSequence['Evaluation.ConfidenceLevelMetrics'] = proto.RepeatedField( + proto.MESSAGE, + number=4, + message='Evaluation.ConfidenceLevelMetrics', + ) + auprc: float = proto.Field( + proto.FLOAT, + number=2, + ) + estimated_calibration_error: float = proto.Field( + proto.FLOAT, + number=3, + ) + auprc_exact: float = proto.Field( + proto.FLOAT, + number=5, + ) + estimated_calibration_error_exact: float = proto.Field( + proto.FLOAT, + number=6, + ) + metrics_type: 'Evaluation.MultiConfidenceMetrics.MetricsType' = proto.Field( + proto.ENUM, + number=7, + enum='Evaluation.MultiConfidenceMetrics.MetricsType', + ) + + name: str = proto.Field( + proto.STRING, + number=1, + ) + create_time: timestamp_pb2.Timestamp = proto.Field( + proto.MESSAGE, + number=2, + message=timestamp_pb2.Timestamp, + ) + document_counters: Counters = proto.Field( + proto.MESSAGE, + number=5, + message=Counters, + ) + all_entities_metrics: MultiConfidenceMetrics = proto.Field( + proto.MESSAGE, + number=3, + message=MultiConfidenceMetrics, + ) + entity_metrics: MutableMapping[str, MultiConfidenceMetrics] = proto.MapField( + proto.STRING, + proto.MESSAGE, + number=4, + message=MultiConfidenceMetrics, + ) + kms_key_name: str = proto.Field( + proto.STRING, + number=6, + ) + kms_key_version_name: str = proto.Field( + proto.STRING, + number=7, + ) + + +__all__ = tuple(sorted(__protobuf__.manifest)) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/types/geometry.py b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/types/geometry.py new file mode 100644 index 000000000000..b0dfe5f0e041 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/types/geometry.py @@ -0,0 +1,101 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from __future__ import annotations + +from typing import MutableMapping, MutableSequence + +import proto # type: ignore + + +__protobuf__ = proto.module( + package='google.cloud.documentai.v1beta3', + manifest={ + 'Vertex', + 'NormalizedVertex', + 'BoundingPoly', + }, +) + + +class Vertex(proto.Message): + r"""A vertex represents a 2D point in the image. + NOTE: the vertex coordinates are in the same scale as the + original image. + + Attributes: + x (int): + X coordinate. + y (int): + Y coordinate (starts from the top of the + image). + """ + + x: int = proto.Field( + proto.INT32, + number=1, + ) + y: int = proto.Field( + proto.INT32, + number=2, + ) + + +class NormalizedVertex(proto.Message): + r"""A vertex represents a 2D point in the image. + NOTE: the normalized vertex coordinates are relative to the + original image and range from 0 to 1. + + Attributes: + x (float): + X coordinate. + y (float): + Y coordinate (starts from the top of the + image). + """ + + x: float = proto.Field( + proto.FLOAT, + number=1, + ) + y: float = proto.Field( + proto.FLOAT, + number=2, + ) + + +class BoundingPoly(proto.Message): + r"""A bounding polygon for the detected image annotation. + + Attributes: + vertices (MutableSequence[google.cloud.documentai_v1beta3.types.Vertex]): + The bounding polygon vertices. + normalized_vertices (MutableSequence[google.cloud.documentai_v1beta3.types.NormalizedVertex]): + The bounding polygon normalized vertices. + """ + + vertices: MutableSequence['Vertex'] = proto.RepeatedField( + proto.MESSAGE, + number=1, + message='Vertex', + ) + normalized_vertices: MutableSequence['NormalizedVertex'] = proto.RepeatedField( + proto.MESSAGE, + number=2, + message='NormalizedVertex', + ) + + +__all__ = tuple(sorted(__protobuf__.manifest)) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/types/operation_metadata.py b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/types/operation_metadata.py new file mode 100644 index 000000000000..d7666cdf576b --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/types/operation_metadata.py @@ -0,0 +1,98 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from __future__ import annotations + +from typing import MutableMapping, MutableSequence + +import proto # type: ignore + +from google.protobuf import timestamp_pb2 # type: ignore + + +__protobuf__ = proto.module( + package='google.cloud.documentai.v1beta3', + manifest={ + 'CommonOperationMetadata', + }, +) + + +class CommonOperationMetadata(proto.Message): + r"""The common metadata for long running operations. + + Attributes: + state (google.cloud.documentai_v1beta3.types.CommonOperationMetadata.State): + The state of the operation. + state_message (str): + A message providing more details about the + current state of processing. + resource (str): + A related resource to this operation. + create_time (google.protobuf.timestamp_pb2.Timestamp): + The creation time of the operation. + update_time (google.protobuf.timestamp_pb2.Timestamp): + The last update time of the operation. + """ + class State(proto.Enum): + r"""State of the longrunning operation. + + Values: + STATE_UNSPECIFIED (0): + Unspecified state. + RUNNING (1): + Operation is still running. + CANCELLING (2): + Operation is being cancelled. + SUCCEEDED (3): + Operation succeeded. + FAILED (4): + Operation failed. + CANCELLED (5): + Operation is cancelled. + """ + STATE_UNSPECIFIED = 0 + RUNNING = 1 + CANCELLING = 2 + SUCCEEDED = 3 + FAILED = 4 + CANCELLED = 5 + + state: State = proto.Field( + proto.ENUM, + number=1, + enum=State, + ) + state_message: str = proto.Field( + proto.STRING, + number=2, + ) + resource: str = proto.Field( + proto.STRING, + number=5, + ) + create_time: timestamp_pb2.Timestamp = proto.Field( + proto.MESSAGE, + number=3, + message=timestamp_pb2.Timestamp, + ) + update_time: timestamp_pb2.Timestamp = proto.Field( + proto.MESSAGE, + number=4, + message=timestamp_pb2.Timestamp, + ) + + +__all__ = tuple(sorted(__protobuf__.manifest)) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/types/processor.py b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/types/processor.py new file mode 100644 index 000000000000..76d73e7cbf3f --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/types/processor.py @@ -0,0 +1,344 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from __future__ import annotations + +from typing import MutableMapping, MutableSequence + +import proto # type: ignore + +from google.cloud.documentai_v1beta3.types import document_schema as gcd_document_schema +from google.cloud.documentai_v1beta3.types import evaluation +from google.protobuf import timestamp_pb2 # type: ignore + + +__protobuf__ = proto.module( + package='google.cloud.documentai.v1beta3', + manifest={ + 'ProcessorVersion', + 'ProcessorVersionAlias', + 'Processor', + }, +) + + +class ProcessorVersion(proto.Message): + r"""A processor version is an implementation of a processor. Each + processor can have multiple versions, pretrained by Google + internally or uptrained by the customer. A processor can only + have one default version at a time. Its document-processing + behavior is defined by that version. + + Attributes: + name (str): + The resource name of the processor version. Format: + ``projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processor_version}`` + display_name (str): + The display name of the processor version. + document_schema (google.cloud.documentai_v1beta3.types.DocumentSchema): + The schema of the processor version. + Describes the output. + state (google.cloud.documentai_v1beta3.types.ProcessorVersion.State): + The state of the processor version. + create_time (google.protobuf.timestamp_pb2.Timestamp): + The time the processor version was created. + latest_evaluation (google.cloud.documentai_v1beta3.types.EvaluationReference): + The most recently invoked evaluation for the + processor version. + kms_key_name (str): + The KMS key name used for encryption. + kms_key_version_name (str): + The KMS key version with which data is + encrypted. + google_managed (bool): + Output only. Denotes that this ``ProcessorVersion`` is + managed by Google. + deprecation_info (google.cloud.documentai_v1beta3.types.ProcessorVersion.DeprecationInfo): + If set, information about the eventual + deprecation of this version. + model_type (google.cloud.documentai_v1beta3.types.ProcessorVersion.ModelType): + Output only. The model type of this processor + version. + """ + class State(proto.Enum): + r"""The possible states of the processor version. + + Values: + STATE_UNSPECIFIED (0): + The processor version is in an unspecified + state. + DEPLOYED (1): + The processor version is deployed and can be + used for processing. + DEPLOYING (2): + The processor version is being deployed. + UNDEPLOYED (3): + The processor version is not deployed and + cannot be used for processing. + UNDEPLOYING (4): + The processor version is being undeployed. + CREATING (5): + The processor version is being created. + DELETING (6): + The processor version is being deleted. + FAILED (7): + The processor version failed and is in an + indeterminate state. + IMPORTING (8): + The processor version is being imported. + """ + STATE_UNSPECIFIED = 0 + DEPLOYED = 1 + DEPLOYING = 2 + UNDEPLOYED = 3 + UNDEPLOYING = 4 + CREATING = 5 + DELETING = 6 + FAILED = 7 + IMPORTING = 8 + + class ModelType(proto.Enum): + r"""The possible model types of the processor version. + + Values: + MODEL_TYPE_UNSPECIFIED (0): + The processor version has unspecified model + type. + MODEL_TYPE_GENERATIVE (1): + The processor version has generative model + type. + MODEL_TYPE_CUSTOM (2): + The processor version has custom model type. + """ + MODEL_TYPE_UNSPECIFIED = 0 + MODEL_TYPE_GENERATIVE = 1 + MODEL_TYPE_CUSTOM = 2 + + class DeprecationInfo(proto.Message): + r"""Information about the upcoming deprecation of this processor + version. + + Attributes: + deprecation_time (google.protobuf.timestamp_pb2.Timestamp): + The time at which this processor version will + be deprecated. + replacement_processor_version (str): + If set, the processor version that will be + used as a replacement. + """ + + deprecation_time: timestamp_pb2.Timestamp = proto.Field( + proto.MESSAGE, + number=1, + message=timestamp_pb2.Timestamp, + ) + replacement_processor_version: str = proto.Field( + proto.STRING, + number=2, + ) + + name: str = proto.Field( + proto.STRING, + number=1, + ) + display_name: str = proto.Field( + proto.STRING, + number=2, + ) + document_schema: gcd_document_schema.DocumentSchema = proto.Field( + proto.MESSAGE, + number=12, + message=gcd_document_schema.DocumentSchema, + ) + state: State = proto.Field( + proto.ENUM, + number=6, + enum=State, + ) + create_time: timestamp_pb2.Timestamp = proto.Field( + proto.MESSAGE, + number=7, + message=timestamp_pb2.Timestamp, + ) + latest_evaluation: evaluation.EvaluationReference = proto.Field( + proto.MESSAGE, + number=8, + message=evaluation.EvaluationReference, + ) + kms_key_name: str = proto.Field( + proto.STRING, + number=9, + ) + kms_key_version_name: str = proto.Field( + proto.STRING, + number=10, + ) + google_managed: bool = proto.Field( + proto.BOOL, + number=11, + ) + deprecation_info: DeprecationInfo = proto.Field( + proto.MESSAGE, + number=13, + message=DeprecationInfo, + ) + model_type: ModelType = proto.Field( + proto.ENUM, + number=15, + enum=ModelType, + ) + + +class ProcessorVersionAlias(proto.Message): + r"""Contains the alias and the aliased resource name of processor + version. + + Attributes: + alias (str): + The alias in the form of ``processor_version`` resource + name. + processor_version (str): + The resource name of aliased processor + version. + """ + + alias: str = proto.Field( + proto.STRING, + number=1, + ) + processor_version: str = proto.Field( + proto.STRING, + number=2, + ) + + +class Processor(proto.Message): + r"""The first-class citizen for Document AI. Each processor + defines how to extract structural information from a document. + + Attributes: + name (str): + Output only. Immutable. The resource name of the processor. + Format: + ``projects/{project}/locations/{location}/processors/{processor}`` + type_ (str): + The processor type, such as: ``OCR_PROCESSOR``, + ``INVOICE_PROCESSOR``. To get a list of processor types, see + [FetchProcessorTypes][google.cloud.documentai.v1beta3.DocumentProcessorService.FetchProcessorTypes]. + display_name (str): + The display name of the processor. + state (google.cloud.documentai_v1beta3.types.Processor.State): + Output only. The state of the processor. + default_processor_version (str): + The default processor version. + processor_version_aliases (MutableSequence[google.cloud.documentai_v1beta3.types.ProcessorVersionAlias]): + Output only. The processor version aliases. + process_endpoint (str): + Output only. Immutable. The http endpoint + that can be called to invoke processing. + create_time (google.protobuf.timestamp_pb2.Timestamp): + The time the processor was created. + kms_key_name (str): + The `KMS + key `__ + used for encryption and decryption in CMEK scenarios. + """ + class State(proto.Enum): + r"""The possible states of the processor. + + Values: + STATE_UNSPECIFIED (0): + The processor is in an unspecified state. + ENABLED (1): + The processor is enabled, i.e., has an + enabled version which can currently serve + processing requests and all the feature + dependencies have been successfully initialized. + DISABLED (2): + The processor is disabled. + ENABLING (3): + The processor is being enabled, will become ``ENABLED`` if + successful. + DISABLING (4): + The processor is being disabled, will become ``DISABLED`` if + successful. + CREATING (5): + The processor is being created, will become either + ``ENABLED`` (for successful creation) or ``FAILED`` (for + failed ones). Once a processor is in this state, it can then + be used for document processing, but the feature + dependencies of the processor might not be fully created + yet. + FAILED (6): + The processor failed during creation or + initialization of feature dependencies. The user + should delete the processor and recreate one as + all the functionalities of the processor are + disabled. + DELETING (7): + The processor is being deleted, will be + removed if successful. + """ + STATE_UNSPECIFIED = 0 + ENABLED = 1 + DISABLED = 2 + ENABLING = 3 + DISABLING = 4 + CREATING = 5 + FAILED = 6 + DELETING = 7 + + name: str = proto.Field( + proto.STRING, + number=1, + ) + type_: str = proto.Field( + proto.STRING, + number=2, + ) + display_name: str = proto.Field( + proto.STRING, + number=3, + ) + state: State = proto.Field( + proto.ENUM, + number=4, + enum=State, + ) + default_processor_version: str = proto.Field( + proto.STRING, + number=9, + ) + processor_version_aliases: MutableSequence['ProcessorVersionAlias'] = proto.RepeatedField( + proto.MESSAGE, + number=10, + message='ProcessorVersionAlias', + ) + process_endpoint: str = proto.Field( + proto.STRING, + number=6, + ) + create_time: timestamp_pb2.Timestamp = proto.Field( + proto.MESSAGE, + number=7, + message=timestamp_pb2.Timestamp, + ) + kms_key_name: str = proto.Field( + proto.STRING, + number=8, + ) + + +__all__ = tuple(sorted(__protobuf__.manifest)) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/types/processor_type.py b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/types/processor_type.py new file mode 100644 index 000000000000..bc642950b06f --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/google/cloud/documentai_v1beta3/types/processor_type.py @@ -0,0 +1,109 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from __future__ import annotations + +from typing import MutableMapping, MutableSequence + +import proto # type: ignore + +from google.api import launch_stage_pb2 # type: ignore + + +__protobuf__ = proto.module( + package='google.cloud.documentai.v1beta3', + manifest={ + 'ProcessorType', + }, +) + + +class ProcessorType(proto.Message): + r"""A processor type is responsible for performing a certain + document understanding task on a certain type of document. + + Attributes: + name (str): + The resource name of the processor type. Format: + ``projects/{project}/processorTypes/{processor_type}`` + type_ (str): + The processor type, such as: ``OCR_PROCESSOR``, + ``INVOICE_PROCESSOR``. + category (str): + The processor category, used by UI to group + processor types. + available_locations (MutableSequence[google.cloud.documentai_v1beta3.types.ProcessorType.LocationInfo]): + The locations in which this processor is + available. + allow_creation (bool): + Whether the processor type allows creation. + If true, users can create a processor of this + processor type. Otherwise, users need to request + access. + launch_stage (google.api.launch_stage_pb2.LaunchStage): + Launch stage of the processor type + sample_document_uris (MutableSequence[str]): + A set of Cloud Storage URIs of sample + documents for this processor. + """ + + class LocationInfo(proto.Message): + r"""The location information about where the processor is + available. + + Attributes: + location_id (str): + The location ID. For supported locations, refer to `regional + and multi-regional support `__. + """ + + location_id: str = proto.Field( + proto.STRING, + number=1, + ) + + name: str = proto.Field( + proto.STRING, + number=1, + ) + type_: str = proto.Field( + proto.STRING, + number=2, + ) + category: str = proto.Field( + proto.STRING, + number=3, + ) + available_locations: MutableSequence[LocationInfo] = proto.RepeatedField( + proto.MESSAGE, + number=4, + message=LocationInfo, + ) + allow_creation: bool = proto.Field( + proto.BOOL, + number=6, + ) + launch_stage: launch_stage_pb2.LaunchStage = proto.Field( + proto.ENUM, + number=8, + enum=launch_stage_pb2.LaunchStage, + ) + sample_document_uris: MutableSequence[str] = proto.RepeatedField( + proto.STRING, + number=9, + ) + + +__all__ = tuple(sorted(__protobuf__.manifest)) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/mypy.ini b/owl-bot-staging/google-cloud-documentai/v1beta3/mypy.ini new file mode 100644 index 000000000000..574c5aed394b --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/mypy.ini @@ -0,0 +1,3 @@ +[mypy] +python_version = 3.7 +namespace_packages = True diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/noxfile.py b/owl-bot-staging/google-cloud-documentai/v1beta3/noxfile.py new file mode 100644 index 000000000000..bb8b2141a826 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/noxfile.py @@ -0,0 +1,253 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import os +import pathlib +import re +import shutil +import subprocess +import sys + + +import nox # type: ignore + +ALL_PYTHON = [ + "3.7", + "3.8", + "3.9", + "3.10", + "3.11", + "3.12" +] + +CURRENT_DIRECTORY = pathlib.Path(__file__).parent.absolute() + +LOWER_BOUND_CONSTRAINTS_FILE = CURRENT_DIRECTORY / "constraints.txt" +PACKAGE_NAME = 'google-cloud-documentai' + +BLACK_VERSION = "black==22.3.0" +BLACK_PATHS = ["docs", "google", "tests", "samples", "noxfile.py", "setup.py"] +DEFAULT_PYTHON_VERSION = "3.12" + +nox.sessions = [ + "unit", + "cover", + "mypy", + "check_lower_bounds" + # exclude update_lower_bounds from default + "docs", + "blacken", + "lint", + "prerelease_deps", +] + +@nox.session(python=ALL_PYTHON) +def unit(session): + """Run the unit test suite.""" + + session.install('coverage', 'pytest', 'pytest-cov', 'pytest-asyncio', 'asyncmock; python_version < "3.8"') + session.install('-e', '.') + + session.run( + 'py.test', + '--quiet', + '--cov=google/cloud/documentai_v1beta3/', + '--cov=tests/', + '--cov-config=.coveragerc', + '--cov-report=term', + '--cov-report=html', + os.path.join('tests', 'unit', ''.join(session.posargs)) + ) + +@nox.session(python=ALL_PYTHON[-1]) +def prerelease_deps(session): + """Run the unit test suite against pre-release versions of dependencies.""" + + # Install test environment dependencies + session.install('coverage', 'pytest', 'pytest-cov', 'pytest-asyncio', 'asyncmock; python_version < "3.8"') + + # Install the package without dependencies + session.install('-e', '.', '--no-deps') + + # We test the minimum dependency versions using the minimum Python + # version so the lowest python runtime that we test has a corresponding constraints + # file, located at `testing/constraints--.txt`, which contains all of the + # dependencies and extras. + with open( + CURRENT_DIRECTORY + / "testing" + / f"constraints-{ALL_PYTHON[0]}.txt", + encoding="utf-8", + ) as constraints_file: + constraints_text = constraints_file.read() + + # Ignore leading whitespace and comment lines. + constraints_deps = [ + match.group(1) + for match in re.finditer( + r"^\s*(\S+)(?===\S+)", constraints_text, flags=re.MULTILINE + ) + ] + + session.install(*constraints_deps) + + prerel_deps = [ + "googleapis-common-protos", + "google-api-core", + "google-auth", + "grpcio", + "grpcio-status", + "protobuf", + "proto-plus", + ] + + for dep in prerel_deps: + session.install("--pre", "--no-deps", "--upgrade", dep) + + # Remaining dependencies + other_deps = [ + "requests", + ] + session.install(*other_deps) + + # Print out prerelease package versions + + session.run("python", "-c", "import google.api_core; print(google.api_core.__version__)") + session.run("python", "-c", "import google.auth; print(google.auth.__version__)") + session.run("python", "-c", "import grpc; print(grpc.__version__)") + session.run( + "python", "-c", "import google.protobuf; print(google.protobuf.__version__)" + ) + session.run( + "python", "-c", "import proto; print(proto.__version__)" + ) + + session.run( + 'py.test', + '--quiet', + '--cov=google/cloud/documentai_v1beta3/', + '--cov=tests/', + '--cov-config=.coveragerc', + '--cov-report=term', + '--cov-report=html', + os.path.join('tests', 'unit', ''.join(session.posargs)) + ) + + +@nox.session(python=DEFAULT_PYTHON_VERSION) +def cover(session): + """Run the final coverage report. + This outputs the coverage report aggregating coverage from the unit + test runs (not system test runs), and then erases coverage data. + """ + session.install("coverage", "pytest-cov") + session.run("coverage", "report", "--show-missing", "--fail-under=100") + + session.run("coverage", "erase") + + +@nox.session(python=ALL_PYTHON) +def mypy(session): + """Run the type checker.""" + session.install( + 'mypy', + 'types-requests', + 'types-protobuf' + ) + session.install('.') + session.run( + 'mypy', + '-p', + 'google', + ) + + +@nox.session +def update_lower_bounds(session): + """Update lower bounds in constraints.txt to match setup.py""" + session.install('google-cloud-testutils') + session.install('.') + + session.run( + 'lower-bound-checker', + 'update', + '--package-name', + PACKAGE_NAME, + '--constraints-file', + str(LOWER_BOUND_CONSTRAINTS_FILE), + ) + + +@nox.session +def check_lower_bounds(session): + """Check lower bounds in setup.py are reflected in constraints file""" + session.install('google-cloud-testutils') + session.install('.') + + session.run( + 'lower-bound-checker', + 'check', + '--package-name', + PACKAGE_NAME, + '--constraints-file', + str(LOWER_BOUND_CONSTRAINTS_FILE), + ) + +@nox.session(python=DEFAULT_PYTHON_VERSION) +def docs(session): + """Build the docs for this library.""" + + session.install("-e", ".") + session.install("sphinx==7.0.1", "alabaster", "recommonmark") + + shutil.rmtree(os.path.join("docs", "_build"), ignore_errors=True) + session.run( + "sphinx-build", + "-W", # warnings as errors + "-T", # show full traceback on exception + "-N", # no colors + "-b", + "html", + "-d", + os.path.join("docs", "_build", "doctrees", ""), + os.path.join("docs", ""), + os.path.join("docs", "_build", "html", ""), + ) + + +@nox.session(python=DEFAULT_PYTHON_VERSION) +def lint(session): + """Run linters. + + Returns a failure if the linters find linting errors or sufficiently + serious code quality issues. + """ + session.install("flake8", BLACK_VERSION) + session.run( + "black", + "--check", + *BLACK_PATHS, + ) + session.run("flake8", "google", "tests", "samples") + + +@nox.session(python=DEFAULT_PYTHON_VERSION) +def blacken(session): + """Run black. Format code to uniform standard.""" + session.install(BLACK_VERSION) + session.run( + "black", + *BLACK_PATHS, + ) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_batch_process_documents_async.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_batch_process_documents_async.py new file mode 100644 index 000000000000..36f5daa1910e --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_batch_process_documents_async.py @@ -0,0 +1,56 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for BatchProcessDocuments +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentProcessorService_BatchProcessDocuments_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +async def sample_batch_process_documents(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1beta3.BatchProcessRequest( + name="name_value", + ) + + # Make the request + operation = client.batch_process_documents(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + +# [END documentai_v1beta3_generated_DocumentProcessorService_BatchProcessDocuments_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_batch_process_documents_sync.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_batch_process_documents_sync.py new file mode 100644 index 000000000000..3561b82df1dc --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_batch_process_documents_sync.py @@ -0,0 +1,56 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for BatchProcessDocuments +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentProcessorService_BatchProcessDocuments_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +def sample_batch_process_documents(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1beta3.BatchProcessRequest( + name="name_value", + ) + + # Make the request + operation = client.batch_process_documents(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + +# [END documentai_v1beta3_generated_DocumentProcessorService_BatchProcessDocuments_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_create_processor_async.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_create_processor_async.py new file mode 100644 index 000000000000..2d276bfcbb48 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_create_processor_async.py @@ -0,0 +1,52 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for CreateProcessor +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentProcessorService_CreateProcessor_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +async def sample_create_processor(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1beta3.CreateProcessorRequest( + parent="parent_value", + ) + + # Make the request + response = await client.create_processor(request=request) + + # Handle the response + print(response) + +# [END documentai_v1beta3_generated_DocumentProcessorService_CreateProcessor_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_create_processor_sync.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_create_processor_sync.py new file mode 100644 index 000000000000..3143028670e7 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_create_processor_sync.py @@ -0,0 +1,52 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for CreateProcessor +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentProcessorService_CreateProcessor_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +def sample_create_processor(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1beta3.CreateProcessorRequest( + parent="parent_value", + ) + + # Make the request + response = client.create_processor(request=request) + + # Handle the response + print(response) + +# [END documentai_v1beta3_generated_DocumentProcessorService_CreateProcessor_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_delete_processor_async.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_delete_processor_async.py new file mode 100644 index 000000000000..477a1f73c8be --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_delete_processor_async.py @@ -0,0 +1,56 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for DeleteProcessor +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentProcessorService_DeleteProcessor_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +async def sample_delete_processor(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1beta3.DeleteProcessorRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_processor(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + +# [END documentai_v1beta3_generated_DocumentProcessorService_DeleteProcessor_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_delete_processor_sync.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_delete_processor_sync.py new file mode 100644 index 000000000000..afc963a09f07 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_delete_processor_sync.py @@ -0,0 +1,56 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for DeleteProcessor +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentProcessorService_DeleteProcessor_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +def sample_delete_processor(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1beta3.DeleteProcessorRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_processor(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + +# [END documentai_v1beta3_generated_DocumentProcessorService_DeleteProcessor_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_delete_processor_version_async.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_delete_processor_version_async.py new file mode 100644 index 000000000000..dc4f9ecceaaf --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_delete_processor_version_async.py @@ -0,0 +1,56 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for DeleteProcessorVersion +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentProcessorService_DeleteProcessorVersion_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +async def sample_delete_processor_version(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1beta3.DeleteProcessorVersionRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + +# [END documentai_v1beta3_generated_DocumentProcessorService_DeleteProcessorVersion_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_delete_processor_version_sync.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_delete_processor_version_sync.py new file mode 100644 index 000000000000..dce73d6e9260 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_delete_processor_version_sync.py @@ -0,0 +1,56 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for DeleteProcessorVersion +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentProcessorService_DeleteProcessorVersion_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +def sample_delete_processor_version(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1beta3.DeleteProcessorVersionRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + +# [END documentai_v1beta3_generated_DocumentProcessorService_DeleteProcessorVersion_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_deploy_processor_version_async.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_deploy_processor_version_async.py new file mode 100644 index 000000000000..137faf7bc673 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_deploy_processor_version_async.py @@ -0,0 +1,56 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for DeployProcessorVersion +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentProcessorService_DeployProcessorVersion_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +async def sample_deploy_processor_version(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1beta3.DeployProcessorVersionRequest( + name="name_value", + ) + + # Make the request + operation = client.deploy_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + +# [END documentai_v1beta3_generated_DocumentProcessorService_DeployProcessorVersion_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_deploy_processor_version_sync.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_deploy_processor_version_sync.py new file mode 100644 index 000000000000..5737288b6ef1 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_deploy_processor_version_sync.py @@ -0,0 +1,56 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for DeployProcessorVersion +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentProcessorService_DeployProcessorVersion_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +def sample_deploy_processor_version(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1beta3.DeployProcessorVersionRequest( + name="name_value", + ) + + # Make the request + operation = client.deploy_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + +# [END documentai_v1beta3_generated_DocumentProcessorService_DeployProcessorVersion_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_disable_processor_async.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_disable_processor_async.py new file mode 100644 index 000000000000..d3716af5640d --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_disable_processor_async.py @@ -0,0 +1,56 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for DisableProcessor +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentProcessorService_DisableProcessor_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +async def sample_disable_processor(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1beta3.DisableProcessorRequest( + name="name_value", + ) + + # Make the request + operation = client.disable_processor(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + +# [END documentai_v1beta3_generated_DocumentProcessorService_DisableProcessor_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_disable_processor_sync.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_disable_processor_sync.py new file mode 100644 index 000000000000..9a6be05a1f2c --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_disable_processor_sync.py @@ -0,0 +1,56 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for DisableProcessor +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentProcessorService_DisableProcessor_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +def sample_disable_processor(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1beta3.DisableProcessorRequest( + name="name_value", + ) + + # Make the request + operation = client.disable_processor(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + +# [END documentai_v1beta3_generated_DocumentProcessorService_DisableProcessor_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_enable_processor_async.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_enable_processor_async.py new file mode 100644 index 000000000000..e5f2807a7ba6 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_enable_processor_async.py @@ -0,0 +1,56 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for EnableProcessor +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentProcessorService_EnableProcessor_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +async def sample_enable_processor(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1beta3.EnableProcessorRequest( + name="name_value", + ) + + # Make the request + operation = client.enable_processor(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + +# [END documentai_v1beta3_generated_DocumentProcessorService_EnableProcessor_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_enable_processor_sync.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_enable_processor_sync.py new file mode 100644 index 000000000000..2f053d7b479f --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_enable_processor_sync.py @@ -0,0 +1,56 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for EnableProcessor +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentProcessorService_EnableProcessor_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +def sample_enable_processor(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1beta3.EnableProcessorRequest( + name="name_value", + ) + + # Make the request + operation = client.enable_processor(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + +# [END documentai_v1beta3_generated_DocumentProcessorService_EnableProcessor_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_evaluate_processor_version_async.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_evaluate_processor_version_async.py new file mode 100644 index 000000000000..211809842bf0 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_evaluate_processor_version_async.py @@ -0,0 +1,56 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for EvaluateProcessorVersion +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentProcessorService_EvaluateProcessorVersion_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +async def sample_evaluate_processor_version(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1beta3.EvaluateProcessorVersionRequest( + processor_version="processor_version_value", + ) + + # Make the request + operation = client.evaluate_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + +# [END documentai_v1beta3_generated_DocumentProcessorService_EvaluateProcessorVersion_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_evaluate_processor_version_sync.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_evaluate_processor_version_sync.py new file mode 100644 index 000000000000..bc7c1fc728ad --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_evaluate_processor_version_sync.py @@ -0,0 +1,56 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for EvaluateProcessorVersion +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentProcessorService_EvaluateProcessorVersion_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +def sample_evaluate_processor_version(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1beta3.EvaluateProcessorVersionRequest( + processor_version="processor_version_value", + ) + + # Make the request + operation = client.evaluate_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + +# [END documentai_v1beta3_generated_DocumentProcessorService_EvaluateProcessorVersion_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_fetch_processor_types_async.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_fetch_processor_types_async.py new file mode 100644 index 000000000000..7e3050ac261e --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_fetch_processor_types_async.py @@ -0,0 +1,52 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for FetchProcessorTypes +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentProcessorService_FetchProcessorTypes_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +async def sample_fetch_processor_types(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1beta3.FetchProcessorTypesRequest( + parent="parent_value", + ) + + # Make the request + response = await client.fetch_processor_types(request=request) + + # Handle the response + print(response) + +# [END documentai_v1beta3_generated_DocumentProcessorService_FetchProcessorTypes_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_fetch_processor_types_sync.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_fetch_processor_types_sync.py new file mode 100644 index 000000000000..404d4fee2561 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_fetch_processor_types_sync.py @@ -0,0 +1,52 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for FetchProcessorTypes +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentProcessorService_FetchProcessorTypes_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +def sample_fetch_processor_types(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1beta3.FetchProcessorTypesRequest( + parent="parent_value", + ) + + # Make the request + response = client.fetch_processor_types(request=request) + + # Handle the response + print(response) + +# [END documentai_v1beta3_generated_DocumentProcessorService_FetchProcessorTypes_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_get_evaluation_async.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_get_evaluation_async.py new file mode 100644 index 000000000000..ad6b11d895c3 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_get_evaluation_async.py @@ -0,0 +1,52 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for GetEvaluation +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentProcessorService_GetEvaluation_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +async def sample_get_evaluation(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1beta3.GetEvaluationRequest( + name="name_value", + ) + + # Make the request + response = await client.get_evaluation(request=request) + + # Handle the response + print(response) + +# [END documentai_v1beta3_generated_DocumentProcessorService_GetEvaluation_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_get_evaluation_sync.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_get_evaluation_sync.py new file mode 100644 index 000000000000..c231dbbb9185 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_get_evaluation_sync.py @@ -0,0 +1,52 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for GetEvaluation +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentProcessorService_GetEvaluation_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +def sample_get_evaluation(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1beta3.GetEvaluationRequest( + name="name_value", + ) + + # Make the request + response = client.get_evaluation(request=request) + + # Handle the response + print(response) + +# [END documentai_v1beta3_generated_DocumentProcessorService_GetEvaluation_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_get_processor_async.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_get_processor_async.py new file mode 100644 index 000000000000..7d14ec7ecbc0 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_get_processor_async.py @@ -0,0 +1,52 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for GetProcessor +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentProcessorService_GetProcessor_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +async def sample_get_processor(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1beta3.GetProcessorRequest( + name="name_value", + ) + + # Make the request + response = await client.get_processor(request=request) + + # Handle the response + print(response) + +# [END documentai_v1beta3_generated_DocumentProcessorService_GetProcessor_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_get_processor_sync.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_get_processor_sync.py new file mode 100644 index 000000000000..f7b710b53474 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_get_processor_sync.py @@ -0,0 +1,52 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for GetProcessor +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentProcessorService_GetProcessor_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +def sample_get_processor(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1beta3.GetProcessorRequest( + name="name_value", + ) + + # Make the request + response = client.get_processor(request=request) + + # Handle the response + print(response) + +# [END documentai_v1beta3_generated_DocumentProcessorService_GetProcessor_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_get_processor_type_async.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_get_processor_type_async.py new file mode 100644 index 000000000000..3afc3f256290 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_get_processor_type_async.py @@ -0,0 +1,52 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for GetProcessorType +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentProcessorService_GetProcessorType_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +async def sample_get_processor_type(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1beta3.GetProcessorTypeRequest( + name="name_value", + ) + + # Make the request + response = await client.get_processor_type(request=request) + + # Handle the response + print(response) + +# [END documentai_v1beta3_generated_DocumentProcessorService_GetProcessorType_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_get_processor_type_sync.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_get_processor_type_sync.py new file mode 100644 index 000000000000..8fe8c82e4ae9 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_get_processor_type_sync.py @@ -0,0 +1,52 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for GetProcessorType +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentProcessorService_GetProcessorType_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +def sample_get_processor_type(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1beta3.GetProcessorTypeRequest( + name="name_value", + ) + + # Make the request + response = client.get_processor_type(request=request) + + # Handle the response + print(response) + +# [END documentai_v1beta3_generated_DocumentProcessorService_GetProcessorType_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_get_processor_version_async.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_get_processor_version_async.py new file mode 100644 index 000000000000..fe1f2e606ad8 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_get_processor_version_async.py @@ -0,0 +1,52 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for GetProcessorVersion +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentProcessorService_GetProcessorVersion_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +async def sample_get_processor_version(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1beta3.GetProcessorVersionRequest( + name="name_value", + ) + + # Make the request + response = await client.get_processor_version(request=request) + + # Handle the response + print(response) + +# [END documentai_v1beta3_generated_DocumentProcessorService_GetProcessorVersion_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_get_processor_version_sync.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_get_processor_version_sync.py new file mode 100644 index 000000000000..980df0fad6ff --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_get_processor_version_sync.py @@ -0,0 +1,52 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for GetProcessorVersion +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentProcessorService_GetProcessorVersion_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +def sample_get_processor_version(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1beta3.GetProcessorVersionRequest( + name="name_value", + ) + + # Make the request + response = client.get_processor_version(request=request) + + # Handle the response + print(response) + +# [END documentai_v1beta3_generated_DocumentProcessorService_GetProcessorVersion_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_import_processor_version_async.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_import_processor_version_async.py new file mode 100644 index 000000000000..ba60c61fe6b4 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_import_processor_version_async.py @@ -0,0 +1,57 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ImportProcessorVersion +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentProcessorService_ImportProcessorVersion_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +async def sample_import_processor_version(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1beta3.ImportProcessorVersionRequest( + processor_version_source="processor_version_source_value", + parent="parent_value", + ) + + # Make the request + operation = client.import_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + +# [END documentai_v1beta3_generated_DocumentProcessorService_ImportProcessorVersion_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_import_processor_version_sync.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_import_processor_version_sync.py new file mode 100644 index 000000000000..3d3a68f49188 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_import_processor_version_sync.py @@ -0,0 +1,57 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ImportProcessorVersion +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentProcessorService_ImportProcessorVersion_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +def sample_import_processor_version(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1beta3.ImportProcessorVersionRequest( + processor_version_source="processor_version_source_value", + parent="parent_value", + ) + + # Make the request + operation = client.import_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + +# [END documentai_v1beta3_generated_DocumentProcessorService_ImportProcessorVersion_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_list_evaluations_async.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_list_evaluations_async.py new file mode 100644 index 000000000000..87d133d04d2c --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_list_evaluations_async.py @@ -0,0 +1,53 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ListEvaluations +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentProcessorService_ListEvaluations_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +async def sample_list_evaluations(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1beta3.ListEvaluationsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_evaluations(request=request) + + # Handle the response + async for response in page_result: + print(response) + +# [END documentai_v1beta3_generated_DocumentProcessorService_ListEvaluations_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_list_evaluations_sync.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_list_evaluations_sync.py new file mode 100644 index 000000000000..32096fc451a3 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_list_evaluations_sync.py @@ -0,0 +1,53 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ListEvaluations +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentProcessorService_ListEvaluations_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +def sample_list_evaluations(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1beta3.ListEvaluationsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_evaluations(request=request) + + # Handle the response + for response in page_result: + print(response) + +# [END documentai_v1beta3_generated_DocumentProcessorService_ListEvaluations_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_list_processor_types_async.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_list_processor_types_async.py new file mode 100644 index 000000000000..d22e2b4b481c --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_list_processor_types_async.py @@ -0,0 +1,53 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ListProcessorTypes +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentProcessorService_ListProcessorTypes_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +async def sample_list_processor_types(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1beta3.ListProcessorTypesRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_processor_types(request=request) + + # Handle the response + async for response in page_result: + print(response) + +# [END documentai_v1beta3_generated_DocumentProcessorService_ListProcessorTypes_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_list_processor_types_sync.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_list_processor_types_sync.py new file mode 100644 index 000000000000..1c55e25b9a40 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_list_processor_types_sync.py @@ -0,0 +1,53 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ListProcessorTypes +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentProcessorService_ListProcessorTypes_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +def sample_list_processor_types(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1beta3.ListProcessorTypesRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_processor_types(request=request) + + # Handle the response + for response in page_result: + print(response) + +# [END documentai_v1beta3_generated_DocumentProcessorService_ListProcessorTypes_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_list_processor_versions_async.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_list_processor_versions_async.py new file mode 100644 index 000000000000..f09bfbb98c73 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_list_processor_versions_async.py @@ -0,0 +1,53 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ListProcessorVersions +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentProcessorService_ListProcessorVersions_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +async def sample_list_processor_versions(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1beta3.ListProcessorVersionsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_processor_versions(request=request) + + # Handle the response + async for response in page_result: + print(response) + +# [END documentai_v1beta3_generated_DocumentProcessorService_ListProcessorVersions_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_list_processor_versions_sync.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_list_processor_versions_sync.py new file mode 100644 index 000000000000..6af4402895bd --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_list_processor_versions_sync.py @@ -0,0 +1,53 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ListProcessorVersions +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentProcessorService_ListProcessorVersions_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +def sample_list_processor_versions(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1beta3.ListProcessorVersionsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_processor_versions(request=request) + + # Handle the response + for response in page_result: + print(response) + +# [END documentai_v1beta3_generated_DocumentProcessorService_ListProcessorVersions_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_list_processors_async.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_list_processors_async.py new file mode 100644 index 000000000000..f8bd2abcf405 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_list_processors_async.py @@ -0,0 +1,53 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ListProcessors +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentProcessorService_ListProcessors_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +async def sample_list_processors(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1beta3.ListProcessorsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_processors(request=request) + + # Handle the response + async for response in page_result: + print(response) + +# [END documentai_v1beta3_generated_DocumentProcessorService_ListProcessors_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_list_processors_sync.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_list_processors_sync.py new file mode 100644 index 000000000000..0d1f77b88e99 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_list_processors_sync.py @@ -0,0 +1,53 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ListProcessors +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentProcessorService_ListProcessors_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +def sample_list_processors(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1beta3.ListProcessorsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_processors(request=request) + + # Handle the response + for response in page_result: + print(response) + +# [END documentai_v1beta3_generated_DocumentProcessorService_ListProcessors_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_process_document_async.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_process_document_async.py new file mode 100644 index 000000000000..11fe237133de --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_process_document_async.py @@ -0,0 +1,56 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ProcessDocument +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentProcessorService_ProcessDocument_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +async def sample_process_document(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + inline_document = documentai_v1beta3.Document() + inline_document.uri = "uri_value" + + request = documentai_v1beta3.ProcessRequest( + inline_document=inline_document, + name="name_value", + ) + + # Make the request + response = await client.process_document(request=request) + + # Handle the response + print(response) + +# [END documentai_v1beta3_generated_DocumentProcessorService_ProcessDocument_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_process_document_sync.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_process_document_sync.py new file mode 100644 index 000000000000..198b580d34e8 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_process_document_sync.py @@ -0,0 +1,56 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ProcessDocument +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentProcessorService_ProcessDocument_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +def sample_process_document(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceClient() + + # Initialize request argument(s) + inline_document = documentai_v1beta3.Document() + inline_document.uri = "uri_value" + + request = documentai_v1beta3.ProcessRequest( + inline_document=inline_document, + name="name_value", + ) + + # Make the request + response = client.process_document(request=request) + + # Handle the response + print(response) + +# [END documentai_v1beta3_generated_DocumentProcessorService_ProcessDocument_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_review_document_async.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_review_document_async.py new file mode 100644 index 000000000000..6d5c4c3355d8 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_review_document_async.py @@ -0,0 +1,60 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ReviewDocument +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentProcessorService_ReviewDocument_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +async def sample_review_document(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + inline_document = documentai_v1beta3.Document() + inline_document.uri = "uri_value" + + request = documentai_v1beta3.ReviewDocumentRequest( + inline_document=inline_document, + human_review_config="human_review_config_value", + ) + + # Make the request + operation = client.review_document(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + +# [END documentai_v1beta3_generated_DocumentProcessorService_ReviewDocument_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_review_document_sync.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_review_document_sync.py new file mode 100644 index 000000000000..d26124afbfe2 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_review_document_sync.py @@ -0,0 +1,60 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ReviewDocument +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentProcessorService_ReviewDocument_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +def sample_review_document(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceClient() + + # Initialize request argument(s) + inline_document = documentai_v1beta3.Document() + inline_document.uri = "uri_value" + + request = documentai_v1beta3.ReviewDocumentRequest( + inline_document=inline_document, + human_review_config="human_review_config_value", + ) + + # Make the request + operation = client.review_document(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + +# [END documentai_v1beta3_generated_DocumentProcessorService_ReviewDocument_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_set_default_processor_version_async.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_set_default_processor_version_async.py new file mode 100644 index 000000000000..8c17e0357812 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_set_default_processor_version_async.py @@ -0,0 +1,57 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for SetDefaultProcessorVersion +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentProcessorService_SetDefaultProcessorVersion_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +async def sample_set_default_processor_version(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1beta3.SetDefaultProcessorVersionRequest( + processor="processor_value", + default_processor_version="default_processor_version_value", + ) + + # Make the request + operation = client.set_default_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + +# [END documentai_v1beta3_generated_DocumentProcessorService_SetDefaultProcessorVersion_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_set_default_processor_version_sync.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_set_default_processor_version_sync.py new file mode 100644 index 000000000000..11b50b193c01 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_set_default_processor_version_sync.py @@ -0,0 +1,57 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for SetDefaultProcessorVersion +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentProcessorService_SetDefaultProcessorVersion_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +def sample_set_default_processor_version(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1beta3.SetDefaultProcessorVersionRequest( + processor="processor_value", + default_processor_version="default_processor_version_value", + ) + + # Make the request + operation = client.set_default_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + +# [END documentai_v1beta3_generated_DocumentProcessorService_SetDefaultProcessorVersion_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_train_processor_version_async.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_train_processor_version_async.py new file mode 100644 index 000000000000..db4f90eaebda --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_train_processor_version_async.py @@ -0,0 +1,56 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for TrainProcessorVersion +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentProcessorService_TrainProcessorVersion_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +async def sample_train_processor_version(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1beta3.TrainProcessorVersionRequest( + parent="parent_value", + ) + + # Make the request + operation = client.train_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + +# [END documentai_v1beta3_generated_DocumentProcessorService_TrainProcessorVersion_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_train_processor_version_sync.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_train_processor_version_sync.py new file mode 100644 index 000000000000..c7cd29a96a9e --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_train_processor_version_sync.py @@ -0,0 +1,56 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for TrainProcessorVersion +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentProcessorService_TrainProcessorVersion_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +def sample_train_processor_version(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1beta3.TrainProcessorVersionRequest( + parent="parent_value", + ) + + # Make the request + operation = client.train_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + +# [END documentai_v1beta3_generated_DocumentProcessorService_TrainProcessorVersion_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_undeploy_processor_version_async.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_undeploy_processor_version_async.py new file mode 100644 index 000000000000..060753fe342f --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_undeploy_processor_version_async.py @@ -0,0 +1,56 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for UndeployProcessorVersion +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentProcessorService_UndeployProcessorVersion_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +async def sample_undeploy_processor_version(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1beta3.UndeployProcessorVersionRequest( + name="name_value", + ) + + # Make the request + operation = client.undeploy_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + +# [END documentai_v1beta3_generated_DocumentProcessorService_UndeployProcessorVersion_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_undeploy_processor_version_sync.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_undeploy_processor_version_sync.py new file mode 100644 index 000000000000..63b9f9b8e831 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_processor_service_undeploy_processor_version_sync.py @@ -0,0 +1,56 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for UndeployProcessorVersion +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentProcessorService_UndeployProcessorVersion_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +def sample_undeploy_processor_version(): + # Create a client + client = documentai_v1beta3.DocumentProcessorServiceClient() + + # Initialize request argument(s) + request = documentai_v1beta3.UndeployProcessorVersionRequest( + name="name_value", + ) + + # Make the request + operation = client.undeploy_processor_version(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + +# [END documentai_v1beta3_generated_DocumentProcessorService_UndeployProcessorVersion_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_service_batch_delete_documents_async.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_service_batch_delete_documents_async.py new file mode 100644 index 000000000000..a6407ad03c06 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_service_batch_delete_documents_async.py @@ -0,0 +1,60 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for BatchDeleteDocuments +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentService_BatchDeleteDocuments_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +async def sample_batch_delete_documents(): + # Create a client + client = documentai_v1beta3.DocumentServiceAsyncClient() + + # Initialize request argument(s) + dataset_documents = documentai_v1beta3.BatchDatasetDocuments() + dataset_documents.individual_document_ids.document_ids.gcs_managed_doc_id.gcs_uri = "gcs_uri_value" + + request = documentai_v1beta3.BatchDeleteDocumentsRequest( + dataset="dataset_value", + dataset_documents=dataset_documents, + ) + + # Make the request + operation = client.batch_delete_documents(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + +# [END documentai_v1beta3_generated_DocumentService_BatchDeleteDocuments_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_service_batch_delete_documents_sync.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_service_batch_delete_documents_sync.py new file mode 100644 index 000000000000..e03fbb15b15b --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_service_batch_delete_documents_sync.py @@ -0,0 +1,60 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for BatchDeleteDocuments +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentService_BatchDeleteDocuments_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +def sample_batch_delete_documents(): + # Create a client + client = documentai_v1beta3.DocumentServiceClient() + + # Initialize request argument(s) + dataset_documents = documentai_v1beta3.BatchDatasetDocuments() + dataset_documents.individual_document_ids.document_ids.gcs_managed_doc_id.gcs_uri = "gcs_uri_value" + + request = documentai_v1beta3.BatchDeleteDocumentsRequest( + dataset="dataset_value", + dataset_documents=dataset_documents, + ) + + # Make the request + operation = client.batch_delete_documents(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + +# [END documentai_v1beta3_generated_DocumentService_BatchDeleteDocuments_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_service_get_dataset_schema_async.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_service_get_dataset_schema_async.py new file mode 100644 index 000000000000..f25ca011736c --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_service_get_dataset_schema_async.py @@ -0,0 +1,52 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for GetDatasetSchema +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentService_GetDatasetSchema_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +async def sample_get_dataset_schema(): + # Create a client + client = documentai_v1beta3.DocumentServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1beta3.GetDatasetSchemaRequest( + name="name_value", + ) + + # Make the request + response = await client.get_dataset_schema(request=request) + + # Handle the response + print(response) + +# [END documentai_v1beta3_generated_DocumentService_GetDatasetSchema_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_service_get_dataset_schema_sync.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_service_get_dataset_schema_sync.py new file mode 100644 index 000000000000..382d6df5fe5a --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_service_get_dataset_schema_sync.py @@ -0,0 +1,52 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for GetDatasetSchema +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentService_GetDatasetSchema_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +def sample_get_dataset_schema(): + # Create a client + client = documentai_v1beta3.DocumentServiceClient() + + # Initialize request argument(s) + request = documentai_v1beta3.GetDatasetSchemaRequest( + name="name_value", + ) + + # Make the request + response = client.get_dataset_schema(request=request) + + # Handle the response + print(response) + +# [END documentai_v1beta3_generated_DocumentService_GetDatasetSchema_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_service_get_document_async.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_service_get_document_async.py new file mode 100644 index 000000000000..86970bab9738 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_service_get_document_async.py @@ -0,0 +1,56 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for GetDocument +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentService_GetDocument_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +async def sample_get_document(): + # Create a client + client = documentai_v1beta3.DocumentServiceAsyncClient() + + # Initialize request argument(s) + document_id = documentai_v1beta3.DocumentId() + document_id.gcs_managed_doc_id.gcs_uri = "gcs_uri_value" + + request = documentai_v1beta3.GetDocumentRequest( + dataset="dataset_value", + document_id=document_id, + ) + + # Make the request + response = await client.get_document(request=request) + + # Handle the response + print(response) + +# [END documentai_v1beta3_generated_DocumentService_GetDocument_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_service_get_document_sync.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_service_get_document_sync.py new file mode 100644 index 000000000000..3d1209ed451d --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_service_get_document_sync.py @@ -0,0 +1,56 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for GetDocument +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentService_GetDocument_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +def sample_get_document(): + # Create a client + client = documentai_v1beta3.DocumentServiceClient() + + # Initialize request argument(s) + document_id = documentai_v1beta3.DocumentId() + document_id.gcs_managed_doc_id.gcs_uri = "gcs_uri_value" + + request = documentai_v1beta3.GetDocumentRequest( + dataset="dataset_value", + document_id=document_id, + ) + + # Make the request + response = client.get_document(request=request) + + # Handle the response + print(response) + +# [END documentai_v1beta3_generated_DocumentService_GetDocument_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_service_import_documents_async.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_service_import_documents_async.py new file mode 100644 index 000000000000..597f42d10e02 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_service_import_documents_async.py @@ -0,0 +1,60 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ImportDocuments +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentService_ImportDocuments_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +async def sample_import_documents(): + # Create a client + client = documentai_v1beta3.DocumentServiceAsyncClient() + + # Initialize request argument(s) + batch_documents_import_configs = documentai_v1beta3.BatchDocumentsImportConfig() + batch_documents_import_configs.dataset_split = "DATASET_SPLIT_UNASSIGNED" + + request = documentai_v1beta3.ImportDocumentsRequest( + dataset="dataset_value", + batch_documents_import_configs=batch_documents_import_configs, + ) + + # Make the request + operation = client.import_documents(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + +# [END documentai_v1beta3_generated_DocumentService_ImportDocuments_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_service_import_documents_sync.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_service_import_documents_sync.py new file mode 100644 index 000000000000..1482caa8ad41 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_service_import_documents_sync.py @@ -0,0 +1,60 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ImportDocuments +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentService_ImportDocuments_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +def sample_import_documents(): + # Create a client + client = documentai_v1beta3.DocumentServiceClient() + + # Initialize request argument(s) + batch_documents_import_configs = documentai_v1beta3.BatchDocumentsImportConfig() + batch_documents_import_configs.dataset_split = "DATASET_SPLIT_UNASSIGNED" + + request = documentai_v1beta3.ImportDocumentsRequest( + dataset="dataset_value", + batch_documents_import_configs=batch_documents_import_configs, + ) + + # Make the request + operation = client.import_documents(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + +# [END documentai_v1beta3_generated_DocumentService_ImportDocuments_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_service_list_documents_async.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_service_list_documents_async.py new file mode 100644 index 000000000000..c1a07a24f351 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_service_list_documents_async.py @@ -0,0 +1,53 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ListDocuments +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentService_ListDocuments_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +async def sample_list_documents(): + # Create a client + client = documentai_v1beta3.DocumentServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1beta3.ListDocumentsRequest( + dataset="dataset_value", + ) + + # Make the request + page_result = client.list_documents(request=request) + + # Handle the response + async for response in page_result: + print(response) + +# [END documentai_v1beta3_generated_DocumentService_ListDocuments_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_service_list_documents_sync.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_service_list_documents_sync.py new file mode 100644 index 000000000000..1d3564dc4a69 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_service_list_documents_sync.py @@ -0,0 +1,53 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ListDocuments +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentService_ListDocuments_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +def sample_list_documents(): + # Create a client + client = documentai_v1beta3.DocumentServiceClient() + + # Initialize request argument(s) + request = documentai_v1beta3.ListDocumentsRequest( + dataset="dataset_value", + ) + + # Make the request + page_result = client.list_documents(request=request) + + # Handle the response + for response in page_result: + print(response) + +# [END documentai_v1beta3_generated_DocumentService_ListDocuments_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_service_update_dataset_async.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_service_update_dataset_async.py new file mode 100644 index 000000000000..ed4bb69178ed --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_service_update_dataset_async.py @@ -0,0 +1,59 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for UpdateDataset +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentService_UpdateDataset_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +async def sample_update_dataset(): + # Create a client + client = documentai_v1beta3.DocumentServiceAsyncClient() + + # Initialize request argument(s) + dataset = documentai_v1beta3.Dataset() + dataset.state = "INITIALIZED" + + request = documentai_v1beta3.UpdateDatasetRequest( + dataset=dataset, + ) + + # Make the request + operation = client.update_dataset(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + +# [END documentai_v1beta3_generated_DocumentService_UpdateDataset_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_service_update_dataset_schema_async.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_service_update_dataset_schema_async.py new file mode 100644 index 000000000000..6363586ebb17 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_service_update_dataset_schema_async.py @@ -0,0 +1,51 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for UpdateDatasetSchema +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentService_UpdateDatasetSchema_async] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +async def sample_update_dataset_schema(): + # Create a client + client = documentai_v1beta3.DocumentServiceAsyncClient() + + # Initialize request argument(s) + request = documentai_v1beta3.UpdateDatasetSchemaRequest( + ) + + # Make the request + response = await client.update_dataset_schema(request=request) + + # Handle the response + print(response) + +# [END documentai_v1beta3_generated_DocumentService_UpdateDatasetSchema_async] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_service_update_dataset_schema_sync.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_service_update_dataset_schema_sync.py new file mode 100644 index 000000000000..191ccb20c070 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_service_update_dataset_schema_sync.py @@ -0,0 +1,51 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for UpdateDatasetSchema +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentService_UpdateDatasetSchema_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +def sample_update_dataset_schema(): + # Create a client + client = documentai_v1beta3.DocumentServiceClient() + + # Initialize request argument(s) + request = documentai_v1beta3.UpdateDatasetSchemaRequest( + ) + + # Make the request + response = client.update_dataset_schema(request=request) + + # Handle the response + print(response) + +# [END documentai_v1beta3_generated_DocumentService_UpdateDatasetSchema_sync] diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_service_update_dataset_sync.py b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_service_update_dataset_sync.py new file mode 100644 index 000000000000..f9285c0b8c46 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/samples/generated_samples/documentai_v1beta3_generated_document_service_update_dataset_sync.py @@ -0,0 +1,59 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for UpdateDataset +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-documentai + + +# [START documentai_v1beta3_generated_DocumentService_UpdateDataset_sync] +# This snippet has been automatically generated and should be regarded as a +# code template only. +# It will require modifications to work: +# - It may require correct/in-range values for request initialization. +# - It may require specifying regional endpoints when creating the service +# client as shown in: +# https://googleapis.dev/python/google-api-core/latest/client_options.html +from google.cloud import documentai_v1beta3 + + +def sample_update_dataset(): + # Create a client + client = documentai_v1beta3.DocumentServiceClient() + + # Initialize request argument(s) + dataset = 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b/owl-bot-staging/google-cloud-documentai/v1beta3/scripts/fixup_documentai_v1beta3_keywords.py new file mode 100644 index 000000000000..f0b457f6b1c0 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/scripts/fixup_documentai_v1beta3_keywords.py @@ -0,0 +1,205 @@ +#! /usr/bin/env python3 +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import argparse +import os +import libcst as cst +import pathlib +import sys +from typing import (Any, Callable, Dict, List, Sequence, Tuple) + + +def partition( + predicate: Callable[[Any], bool], + iterator: Sequence[Any] +) -> Tuple[List[Any], List[Any]]: + """A stable, out-of-place partition.""" + results = ([], []) + + for i in iterator: + results[int(predicate(i))].append(i) + + # Returns trueList, falseList + return results[1], results[0] + + +class documentaiCallTransformer(cst.CSTTransformer): + CTRL_PARAMS: Tuple[str] = ('retry', 'timeout', 'metadata') + METHOD_TO_PARAMS: Dict[str, Tuple[str]] = { + 'batch_delete_documents': ('dataset', 'dataset_documents', ), + 'batch_process_documents': ('name', 'input_configs', 'output_config', 'input_documents', 'document_output_config', 'skip_human_review', 'process_options', 'labels', ), + 'create_processor': ('parent', 'processor', ), + 'delete_processor': ('name', ), + 'delete_processor_version': ('name', ), + 'deploy_processor_version': ('name', ), + 'disable_processor': ('name', ), + 'enable_processor': ('name', ), + 'evaluate_processor_version': ('processor_version', 'evaluation_documents', ), + 'fetch_processor_types': ('parent', ), + 'get_dataset_schema': ('name', 'visible_fields_only', ), + 'get_document': ('dataset', 'document_id', 'read_mask', 'page_range', ), + 'get_evaluation': ('name', ), + 'get_processor': ('name', ), + 'get_processor_type': ('name', ), + 'get_processor_version': ('name', ), + 'import_documents': ('dataset', 'batch_documents_import_configs', ), + 'import_processor_version': ('parent', 'processor_version_source', 'external_processor_version_source', ), + 'list_documents': ('dataset', 'page_size', 'page_token', 'filter', 'return_total_size', 'skip', ), + 'list_evaluations': ('parent', 'page_size', 'page_token', ), + 'list_processors': ('parent', 'page_size', 'page_token', ), + 'list_processor_types': ('parent', 'page_size', 'page_token', ), + 'list_processor_versions': ('parent', 'page_size', 'page_token', ), + 'process_document': ('name', 'inline_document', 'raw_document', 'gcs_document', 'document', 'skip_human_review', 'field_mask', 'process_options', 'labels', ), + 'review_document': ('human_review_config', 'inline_document', 'document', 'enable_schema_validation', 'priority', 'document_schema', ), + 'set_default_processor_version': ('processor', 'default_processor_version', ), + 'train_processor_version': ('parent', 'processor_version', 'custom_document_extraction_options', 'foundation_model_tuning_options', 'document_schema', 'input_data', 'base_processor_version', ), + 'undeploy_processor_version': ('name', ), + 'update_dataset': ('dataset', 'update_mask', ), + 'update_dataset_schema': ('dataset_schema', 'update_mask', ), + } + + def leave_Call(self, original: cst.Call, updated: cst.Call) -> cst.CSTNode: + try: + key = original.func.attr.value + kword_params = self.METHOD_TO_PARAMS[key] + except (AttributeError, KeyError): + # Either not a method from the API or too convoluted to be sure. + return updated + + # If the existing code is valid, keyword args come after positional args. + # Therefore, all positional args must map to the first parameters. + args, kwargs = partition(lambda a: not bool(a.keyword), updated.args) + if any(k.keyword.value == "request" for k in kwargs): + # We've already fixed this file, don't fix it again. + return updated + + kwargs, ctrl_kwargs = partition( + lambda a: a.keyword.value not in self.CTRL_PARAMS, + kwargs + ) + + args, ctrl_args = args[:len(kword_params)], args[len(kword_params):] + ctrl_kwargs.extend(cst.Arg(value=a.value, keyword=cst.Name(value=ctrl)) + for a, ctrl in zip(ctrl_args, self.CTRL_PARAMS)) + + request_arg = cst.Arg( + value=cst.Dict([ + cst.DictElement( + cst.SimpleString("'{}'".format(name)), +cst.Element(value=arg.value) + ) + # Note: the args + kwargs looks silly, but keep in mind that + # the control parameters had to be stripped out, and that + # those could have been passed positionally or by keyword. + for name, arg in zip(kword_params, args + kwargs)]), + keyword=cst.Name("request") + ) + + return updated.with_changes( + args=[request_arg] + ctrl_kwargs + ) + + +def fix_files( + in_dir: pathlib.Path, + out_dir: pathlib.Path, + *, + transformer=documentaiCallTransformer(), +): + """Duplicate the input dir to the output dir, fixing file method calls. + + Preconditions: + * in_dir is a real directory + * out_dir is a real, empty directory + """ + pyfile_gen = ( + pathlib.Path(os.path.join(root, f)) + for root, _, files in os.walk(in_dir) + for f in files if os.path.splitext(f)[1] == ".py" + ) + + for fpath in pyfile_gen: + with open(fpath, 'r') as f: + src = f.read() + + # Parse the code and insert method call fixes. + tree = cst.parse_module(src) + updated = tree.visit(transformer) + + # Create the path and directory structure for the new file. + updated_path = out_dir.joinpath(fpath.relative_to(in_dir)) + updated_path.parent.mkdir(parents=True, exist_ok=True) + + # Generate the updated source file at the corresponding path. + with open(updated_path, 'w') as f: + f.write(updated.code) + + +if __name__ == '__main__': + parser = argparse.ArgumentParser( + description="""Fix up source that uses the documentai client library. + +The existing sources are NOT overwritten but are copied to output_dir with changes made. + +Note: This tool operates at a best-effort level at converting positional + parameters in client method calls to keyword based parameters. + Cases where it WILL FAIL include + A) * or ** expansion in a method call. + B) Calls via function or method alias (includes free function calls) + C) Indirect or dispatched calls (e.g. the method is looked up dynamically) + + These all constitute false negatives. The tool will also detect false + positives when an API method shares a name with another method. +""") + parser.add_argument( + '-d', + '--input-directory', + required=True, + dest='input_dir', + help='the input directory to walk for python files to fix up', + ) + parser.add_argument( + '-o', + '--output-directory', + required=True, + dest='output_dir', + help='the directory to output files fixed via un-flattening', + ) + args = parser.parse_args() + input_dir = pathlib.Path(args.input_dir) + output_dir = pathlib.Path(args.output_dir) + if not input_dir.is_dir(): + print( + f"input directory '{input_dir}' does not exist or is not a directory", + file=sys.stderr, + ) + sys.exit(-1) + + if not output_dir.is_dir(): + print( + f"output directory '{output_dir}' does not exist or is not a directory", + file=sys.stderr, + ) + sys.exit(-1) + + if os.listdir(output_dir): + print( + f"output directory '{output_dir}' is not empty", + file=sys.stderr, + ) + sys.exit(-1) + + fix_files(input_dir, output_dir) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/setup.py b/owl-bot-staging/google-cloud-documentai/v1beta3/setup.py new file mode 100644 index 000000000000..11e72a1d001b --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/setup.py @@ -0,0 +1,93 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import io +import os +import re + +import setuptools # type: ignore + +package_root = os.path.abspath(os.path.dirname(__file__)) + +name = 'google-cloud-documentai' + + +description = "Google Cloud Documentai API client library" + +version = None + +with open(os.path.join(package_root, 'google/cloud/documentai/gapic_version.py')) as fp: + version_candidates = re.findall(r"(?<=\")\d+.\d+.\d+(?=\")", fp.read()) + assert (len(version_candidates) == 1) + version = version_candidates[0] + +if version[0] == "0": + release_status = "Development Status :: 4 - Beta" +else: + release_status = "Development Status :: 5 - Production/Stable" + +dependencies = [ + "google-api-core[grpc] >= 1.34.1, <3.0.0dev,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,!=2.7.*,!=2.8.*,!=2.9.*,!=2.10.*", + # Exclude incompatible versions of `google-auth` + # See https://github.com/googleapis/google-cloud-python/issues/12364 + "google-auth >= 2.14.1, <3.0.0dev,!=2.24.0,!=2.25.0", + "proto-plus >= 1.22.3, <2.0.0dev", + "protobuf>=3.19.5,<5.0.0dev,!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5", +] +url = "https://github.com/googleapis/google-cloud-python/tree/main/packages/google-cloud-documentai" + +package_root = os.path.abspath(os.path.dirname(__file__)) + +readme_filename = os.path.join(package_root, "README.rst") +with io.open(readme_filename, encoding="utf-8") as readme_file: + readme = readme_file.read() + +packages = [ + package + for package in setuptools.find_namespace_packages() + if package.startswith("google") +] + +setuptools.setup( + name=name, + version=version, + description=description, + long_description=readme, + author="Google LLC", + author_email="googleapis-packages@google.com", + license="Apache 2.0", + url=url, + classifiers=[ + release_status, + "Intended Audience :: Developers", + "License :: OSI Approved :: Apache Software License", + "Programming Language :: Python", + "Programming Language :: Python :: 3", + "Programming Language :: Python :: 3.7", + "Programming Language :: Python :: 3.8", + "Programming Language :: Python :: 3.9", + "Programming Language :: Python :: 3.10", + "Programming Language :: Python :: 3.11", + "Programming Language :: Python :: 3.12", + "Operating System :: OS Independent", + "Topic :: Internet", + ], + platforms="Posix; MacOS X; Windows", + packages=packages, + python_requires=">=3.7", + install_requires=dependencies, + include_package_data=True, + zip_safe=False, +) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/testing/constraints-3.10.txt b/owl-bot-staging/google-cloud-documentai/v1beta3/testing/constraints-3.10.txt new file mode 100644 index 000000000000..ed7f9aed2559 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/testing/constraints-3.10.txt @@ -0,0 +1,6 @@ +# -*- coding: utf-8 -*- +# This constraints file is required for unit tests. +# List all library dependencies and extras in this file. +google-api-core +proto-plus +protobuf diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/testing/constraints-3.11.txt b/owl-bot-staging/google-cloud-documentai/v1beta3/testing/constraints-3.11.txt new file mode 100644 index 000000000000..ed7f9aed2559 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/testing/constraints-3.11.txt @@ -0,0 +1,6 @@ +# -*- coding: utf-8 -*- +# This constraints file is required for unit tests. +# List all library dependencies and extras in this file. +google-api-core +proto-plus +protobuf diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/testing/constraints-3.12.txt b/owl-bot-staging/google-cloud-documentai/v1beta3/testing/constraints-3.12.txt new file mode 100644 index 000000000000..ed7f9aed2559 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/testing/constraints-3.12.txt @@ -0,0 +1,6 @@ +# -*- coding: utf-8 -*- +# This constraints file is required for unit tests. +# List all library dependencies and extras in this file. +google-api-core +proto-plus +protobuf diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/testing/constraints-3.7.txt b/owl-bot-staging/google-cloud-documentai/v1beta3/testing/constraints-3.7.txt new file mode 100644 index 000000000000..b8a550c73855 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/testing/constraints-3.7.txt @@ -0,0 +1,10 @@ +# This constraints file is used to check that lower bounds +# are correct in setup.py +# List all library dependencies and extras in this file. +# Pin the version to the lower bound. +# e.g., if setup.py has "google-cloud-foo >= 1.14.0, < 2.0.0dev", +# Then this file should have google-cloud-foo==1.14.0 +google-api-core==1.34.1 +google-auth==2.14.1 +proto-plus==1.22.3 +protobuf==3.19.5 diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/testing/constraints-3.8.txt b/owl-bot-staging/google-cloud-documentai/v1beta3/testing/constraints-3.8.txt new file mode 100644 index 000000000000..ed7f9aed2559 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/testing/constraints-3.8.txt @@ -0,0 +1,6 @@ +# -*- coding: utf-8 -*- +# This constraints file is required for unit tests. +# List all library dependencies and extras in this file. +google-api-core +proto-plus +protobuf diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/testing/constraints-3.9.txt b/owl-bot-staging/google-cloud-documentai/v1beta3/testing/constraints-3.9.txt new file mode 100644 index 000000000000..ed7f9aed2559 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/testing/constraints-3.9.txt @@ -0,0 +1,6 @@ +# -*- coding: utf-8 -*- +# This constraints file is required for unit tests. +# List all library dependencies and extras in this file. +google-api-core +proto-plus +protobuf diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/tests/__init__.py b/owl-bot-staging/google-cloud-documentai/v1beta3/tests/__init__.py new file mode 100644 index 000000000000..7b3de3117f38 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/tests/__init__.py @@ -0,0 +1,16 @@ + +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/tests/unit/__init__.py b/owl-bot-staging/google-cloud-documentai/v1beta3/tests/unit/__init__.py new file mode 100644 index 000000000000..7b3de3117f38 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/tests/unit/__init__.py @@ -0,0 +1,16 @@ + +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/tests/unit/gapic/__init__.py b/owl-bot-staging/google-cloud-documentai/v1beta3/tests/unit/gapic/__init__.py new file mode 100644 index 000000000000..7b3de3117f38 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/tests/unit/gapic/__init__.py @@ -0,0 +1,16 @@ + +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/tests/unit/gapic/documentai_v1beta3/__init__.py b/owl-bot-staging/google-cloud-documentai/v1beta3/tests/unit/gapic/documentai_v1beta3/__init__.py new file mode 100644 index 000000000000..7b3de3117f38 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/tests/unit/gapic/documentai_v1beta3/__init__.py @@ -0,0 +1,16 @@ + +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/tests/unit/gapic/documentai_v1beta3/test_document_processor_service.py b/owl-bot-staging/google-cloud-documentai/v1beta3/tests/unit/gapic/documentai_v1beta3/test_document_processor_service.py new file mode 100644 index 000000000000..5527b8299a3e --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/tests/unit/gapic/documentai_v1beta3/test_document_processor_service.py @@ -0,0 +1,14031 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import os +# try/except added for compatibility with python < 3.8 +try: + from unittest import mock + from unittest.mock import AsyncMock # pragma: NO COVER +except ImportError: # pragma: NO COVER + import mock + +import grpc +from grpc.experimental import aio +from collections.abc import Iterable +from google.protobuf import json_format +import json +import math +import pytest +from google.api_core import api_core_version +from proto.marshal.rules.dates import DurationRule, TimestampRule +from proto.marshal.rules import wrappers +from requests import Response +from requests import Request, PreparedRequest +from requests.sessions import Session +from google.protobuf import json_format + +from google.api import launch_stage_pb2 # type: ignore +from google.api_core import client_options +from google.api_core import exceptions as core_exceptions +from google.api_core import future +from google.api_core import gapic_v1 +from google.api_core import grpc_helpers +from google.api_core import grpc_helpers_async +from google.api_core import operation +from google.api_core import operation_async # type: ignore +from google.api_core import operations_v1 +from google.api_core import path_template +from google.auth import credentials as ga_credentials +from google.auth.exceptions import MutualTLSChannelError +from google.cloud.documentai_v1beta3.services.document_processor_service import DocumentProcessorServiceAsyncClient +from google.cloud.documentai_v1beta3.services.document_processor_service import DocumentProcessorServiceClient +from google.cloud.documentai_v1beta3.services.document_processor_service import pagers +from google.cloud.documentai_v1beta3.services.document_processor_service import transports +from google.cloud.documentai_v1beta3.types import barcode +from google.cloud.documentai_v1beta3.types import document +from google.cloud.documentai_v1beta3.types import document_io +from google.cloud.documentai_v1beta3.types import document_processor_service +from google.cloud.documentai_v1beta3.types import document_schema +from google.cloud.documentai_v1beta3.types import evaluation +from google.cloud.documentai_v1beta3.types import geometry +from google.cloud.documentai_v1beta3.types import processor +from google.cloud.documentai_v1beta3.types import processor as gcd_processor +from google.cloud.documentai_v1beta3.types import processor_type +from google.cloud.location import locations_pb2 +from google.longrunning import operations_pb2 # type: ignore +from google.oauth2 import service_account +from google.protobuf import any_pb2 # type: ignore +from google.protobuf import duration_pb2 # type: ignore +from google.protobuf import empty_pb2 # type: ignore +from google.protobuf import field_mask_pb2 # type: ignore +from google.protobuf import timestamp_pb2 # type: ignore +from google.protobuf import wrappers_pb2 # type: ignore +from google.rpc import status_pb2 # type: ignore +from google.type import color_pb2 # type: ignore +from google.type import date_pb2 # type: ignore +from google.type import datetime_pb2 # type: ignore +from google.type import money_pb2 # type: ignore +from google.type import postal_address_pb2 # type: ignore +import google.auth + + +def client_cert_source_callback(): + return b"cert bytes", b"key bytes" + +# If default endpoint is localhost, then default mtls endpoint will be the same. +# This method modifies the default endpoint so the client can produce a different +# mtls endpoint for endpoint testing purposes. +def modify_default_endpoint(client): + return "foo.googleapis.com" if ("localhost" in client.DEFAULT_ENDPOINT) else client.DEFAULT_ENDPOINT + +# If default endpoint template is localhost, then default mtls endpoint will be the same. +# This method modifies the default endpoint template so the client can produce a different +# mtls endpoint for endpoint testing purposes. +def modify_default_endpoint_template(client): + return "test.{UNIVERSE_DOMAIN}" if ("localhost" in client._DEFAULT_ENDPOINT_TEMPLATE) else client._DEFAULT_ENDPOINT_TEMPLATE + + +def test__get_default_mtls_endpoint(): + api_endpoint = "example.googleapis.com" + api_mtls_endpoint = "example.mtls.googleapis.com" + sandbox_endpoint = "example.sandbox.googleapis.com" + sandbox_mtls_endpoint = "example.mtls.sandbox.googleapis.com" + non_googleapi = "api.example.com" + + assert DocumentProcessorServiceClient._get_default_mtls_endpoint(None) is None + assert DocumentProcessorServiceClient._get_default_mtls_endpoint(api_endpoint) == api_mtls_endpoint + assert DocumentProcessorServiceClient._get_default_mtls_endpoint(api_mtls_endpoint) == api_mtls_endpoint + assert DocumentProcessorServiceClient._get_default_mtls_endpoint(sandbox_endpoint) == sandbox_mtls_endpoint + assert DocumentProcessorServiceClient._get_default_mtls_endpoint(sandbox_mtls_endpoint) == sandbox_mtls_endpoint + assert DocumentProcessorServiceClient._get_default_mtls_endpoint(non_googleapi) == non_googleapi + +def test__read_environment_variables(): + assert DocumentProcessorServiceClient._read_environment_variables() == (False, "auto", None) + + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): + assert DocumentProcessorServiceClient._read_environment_variables() == (True, "auto", None) + + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "false"}): + assert DocumentProcessorServiceClient._read_environment_variables() == (False, "auto", None) + + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}): + with pytest.raises(ValueError) as excinfo: + DocumentProcessorServiceClient._read_environment_variables() + assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`" + + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}): + assert DocumentProcessorServiceClient._read_environment_variables() == (False, "never", None) + + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}): + assert DocumentProcessorServiceClient._read_environment_variables() == (False, "always", None) + + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"}): + assert DocumentProcessorServiceClient._read_environment_variables() == (False, "auto", None) + + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}): + with pytest.raises(MutualTLSChannelError) as excinfo: + DocumentProcessorServiceClient._read_environment_variables() + assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + + with mock.patch.dict(os.environ, {"GOOGLE_CLOUD_UNIVERSE_DOMAIN": "foo.com"}): + assert DocumentProcessorServiceClient._read_environment_variables() == (False, "auto", "foo.com") + +def test__get_client_cert_source(): + mock_provided_cert_source = mock.Mock() + mock_default_cert_source = mock.Mock() + + assert DocumentProcessorServiceClient._get_client_cert_source(None, False) is None + assert DocumentProcessorServiceClient._get_client_cert_source(mock_provided_cert_source, False) is None + assert DocumentProcessorServiceClient._get_client_cert_source(mock_provided_cert_source, True) == mock_provided_cert_source + + with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True): + with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=mock_default_cert_source): + assert DocumentProcessorServiceClient._get_client_cert_source(None, True) is mock_default_cert_source + assert DocumentProcessorServiceClient._get_client_cert_source(mock_provided_cert_source, "true") is mock_provided_cert_source + +@mock.patch.object(DocumentProcessorServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DocumentProcessorServiceClient)) +@mock.patch.object(DocumentProcessorServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DocumentProcessorServiceAsyncClient)) +def test__get_api_endpoint(): + api_override = "foo.com" + mock_client_cert_source = mock.Mock() + default_universe = DocumentProcessorServiceClient._DEFAULT_UNIVERSE + default_endpoint = DocumentProcessorServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=default_universe) + mock_universe = "bar.com" + mock_endpoint = DocumentProcessorServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=mock_universe) + + assert DocumentProcessorServiceClient._get_api_endpoint(api_override, mock_client_cert_source, default_universe, "always") == api_override + assert DocumentProcessorServiceClient._get_api_endpoint(None, mock_client_cert_source, default_universe, "auto") == DocumentProcessorServiceClient.DEFAULT_MTLS_ENDPOINT + assert DocumentProcessorServiceClient._get_api_endpoint(None, None, default_universe, "auto") == default_endpoint + assert DocumentProcessorServiceClient._get_api_endpoint(None, None, default_universe, "always") == DocumentProcessorServiceClient.DEFAULT_MTLS_ENDPOINT + assert DocumentProcessorServiceClient._get_api_endpoint(None, mock_client_cert_source, default_universe, "always") == DocumentProcessorServiceClient.DEFAULT_MTLS_ENDPOINT + assert DocumentProcessorServiceClient._get_api_endpoint(None, None, mock_universe, "never") == mock_endpoint + assert DocumentProcessorServiceClient._get_api_endpoint(None, None, default_universe, "never") == default_endpoint + + with pytest.raises(MutualTLSChannelError) as excinfo: + DocumentProcessorServiceClient._get_api_endpoint(None, mock_client_cert_source, mock_universe, "auto") + assert str(excinfo.value) == "mTLS is not supported in any universe other than googleapis.com." + +def test__get_universe_domain(): + client_universe_domain = "foo.com" + universe_domain_env = "bar.com" + + assert DocumentProcessorServiceClient._get_universe_domain(client_universe_domain, universe_domain_env) == client_universe_domain + assert DocumentProcessorServiceClient._get_universe_domain(None, universe_domain_env) == universe_domain_env + assert DocumentProcessorServiceClient._get_universe_domain(None, None) == DocumentProcessorServiceClient._DEFAULT_UNIVERSE + + with pytest.raises(ValueError) as excinfo: + DocumentProcessorServiceClient._get_universe_domain("", None) + assert str(excinfo.value) == "Universe Domain cannot be an empty string." + +@pytest.mark.parametrize("client_class,transport_class,transport_name", [ + (DocumentProcessorServiceClient, transports.DocumentProcessorServiceGrpcTransport, "grpc"), + (DocumentProcessorServiceClient, transports.DocumentProcessorServiceRestTransport, "rest"), +]) +def test__validate_universe_domain(client_class, transport_class, transport_name): + client = client_class( + transport=transport_class( + credentials=ga_credentials.AnonymousCredentials() + ) + ) + assert client._validate_universe_domain() == True + + # Test the case when universe is already validated. + assert client._validate_universe_domain() == True + + if transport_name == "grpc": + # Test the case where credentials are provided by the + # `local_channel_credentials`. The default universes in both match. + channel = grpc.secure_channel('http://localhost/', grpc.local_channel_credentials()) + client = client_class(transport=transport_class(channel=channel)) + assert client._validate_universe_domain() == True + + # Test the case where credentials do not exist: e.g. a transport is provided + # with no credentials. Validation should still succeed because there is no + # mismatch with non-existent credentials. + channel = grpc.secure_channel('http://localhost/', grpc.local_channel_credentials()) + transport=transport_class(channel=channel) + transport._credentials = None + client = client_class(transport=transport) + assert client._validate_universe_domain() == True + + # TODO: This is needed to cater for older versions of google-auth + # Make this test unconditional once the minimum supported version of + # google-auth becomes 2.23.0 or higher. + google_auth_major, google_auth_minor = [int(part) for part in google.auth.__version__.split(".")[0:2]] + if google_auth_major > 2 or (google_auth_major == 2 and google_auth_minor >= 23): + credentials = ga_credentials.AnonymousCredentials() + credentials._universe_domain = "foo.com" + # Test the case when there is a universe mismatch from the credentials. + client = client_class( + transport=transport_class(credentials=credentials) + ) + with pytest.raises(ValueError) as excinfo: + client._validate_universe_domain() + assert str(excinfo.value) == "The configured universe domain (googleapis.com) does not match the universe domain found in the credentials (foo.com). If you haven't configured the universe domain explicitly, `googleapis.com` is the default." + + # Test the case when there is a universe mismatch from the client. + # + # TODO: Make this test unconditional once the minimum supported version of + # google-api-core becomes 2.15.0 or higher. + api_core_major, api_core_minor = [int(part) for part in api_core_version.__version__.split(".")[0:2]] + if api_core_major > 2 or (api_core_major == 2 and api_core_minor >= 15): + client = client_class(client_options={"universe_domain": "bar.com"}, transport=transport_class(credentials=ga_credentials.AnonymousCredentials(),)) + with pytest.raises(ValueError) as excinfo: + client._validate_universe_domain() + assert str(excinfo.value) == "The configured universe domain (bar.com) does not match the universe domain found in the credentials (googleapis.com). If you haven't configured the universe domain explicitly, `googleapis.com` is the default." + + # Test that ValueError is raised if universe_domain is provided via client options and credentials is None + with pytest.raises(ValueError): + client._compare_universes("foo.bar", None) + + +@pytest.mark.parametrize("client_class,transport_name", [ + (DocumentProcessorServiceClient, "grpc"), + (DocumentProcessorServiceAsyncClient, "grpc_asyncio"), + (DocumentProcessorServiceClient, "rest"), +]) +def test_document_processor_service_client_from_service_account_info(client_class, transport_name): + creds = ga_credentials.AnonymousCredentials() + with mock.patch.object(service_account.Credentials, 'from_service_account_info') as factory: + factory.return_value = creds + info = {"valid": True} + client = client_class.from_service_account_info(info, transport=transport_name) + assert client.transport._credentials == creds + assert isinstance(client, client_class) + + assert client.transport._host == ( + 'documentai.googleapis.com:443' + if transport_name in ['grpc', 'grpc_asyncio'] + else + 'https://documentai.googleapis.com' + ) + + +@pytest.mark.parametrize("transport_class,transport_name", [ + (transports.DocumentProcessorServiceGrpcTransport, "grpc"), + (transports.DocumentProcessorServiceGrpcAsyncIOTransport, "grpc_asyncio"), + (transports.DocumentProcessorServiceRestTransport, "rest"), +]) +def test_document_processor_service_client_service_account_always_use_jwt(transport_class, transport_name): + with mock.patch.object(service_account.Credentials, 'with_always_use_jwt_access', create=True) as use_jwt: + creds = service_account.Credentials(None, None, None) + transport = transport_class(credentials=creds, always_use_jwt_access=True) + use_jwt.assert_called_once_with(True) + + with mock.patch.object(service_account.Credentials, 'with_always_use_jwt_access', create=True) as use_jwt: + creds = service_account.Credentials(None, None, None) + transport = transport_class(credentials=creds, always_use_jwt_access=False) + use_jwt.assert_not_called() + + +@pytest.mark.parametrize("client_class,transport_name", [ + (DocumentProcessorServiceClient, "grpc"), + (DocumentProcessorServiceAsyncClient, "grpc_asyncio"), + (DocumentProcessorServiceClient, "rest"), +]) +def test_document_processor_service_client_from_service_account_file(client_class, transport_name): + creds = ga_credentials.AnonymousCredentials() + with mock.patch.object(service_account.Credentials, 'from_service_account_file') as factory: + factory.return_value = creds + client = client_class.from_service_account_file("dummy/file/path.json", transport=transport_name) + assert client.transport._credentials == creds + assert isinstance(client, client_class) + + client = client_class.from_service_account_json("dummy/file/path.json", transport=transport_name) + assert client.transport._credentials == creds + assert isinstance(client, client_class) + + assert client.transport._host == ( + 'documentai.googleapis.com:443' + if transport_name in ['grpc', 'grpc_asyncio'] + else + 'https://documentai.googleapis.com' + ) + + +def test_document_processor_service_client_get_transport_class(): + transport = DocumentProcessorServiceClient.get_transport_class() + available_transports = [ + transports.DocumentProcessorServiceGrpcTransport, + transports.DocumentProcessorServiceRestTransport, + ] + assert transport in available_transports + + transport = DocumentProcessorServiceClient.get_transport_class("grpc") + assert transport == transports.DocumentProcessorServiceGrpcTransport + + +@pytest.mark.parametrize("client_class,transport_class,transport_name", [ + (DocumentProcessorServiceClient, transports.DocumentProcessorServiceGrpcTransport, "grpc"), + (DocumentProcessorServiceAsyncClient, transports.DocumentProcessorServiceGrpcAsyncIOTransport, "grpc_asyncio"), + (DocumentProcessorServiceClient, transports.DocumentProcessorServiceRestTransport, "rest"), +]) +@mock.patch.object(DocumentProcessorServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DocumentProcessorServiceClient)) +@mock.patch.object(DocumentProcessorServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DocumentProcessorServiceAsyncClient)) +def test_document_processor_service_client_client_options(client_class, transport_class, transport_name): + # Check that if channel is provided we won't create a new one. + with mock.patch.object(DocumentProcessorServiceClient, 'get_transport_class') as gtc: + transport = transport_class( + credentials=ga_credentials.AnonymousCredentials() + ) + client = client_class(transport=transport) + gtc.assert_not_called() + + # Check that if channel is provided via str we will create a new one. + with mock.patch.object(DocumentProcessorServiceClient, 'get_transport_class') as gtc: + client = client_class(transport=transport_name) + gtc.assert_called() + + # Check the case api_endpoint is provided. + options = client_options.ClientOptions(api_endpoint="squid.clam.whelk") + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(transport=transport_name, client_options=options) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host="squid.clam.whelk", + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is + # "never". + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}): + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE), + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is + # "always". + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}): + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client.DEFAULT_MTLS_ENDPOINT, + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has + # unsupported value. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}): + with pytest.raises(MutualTLSChannelError) as excinfo: + client = client_class(transport=transport_name) + assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + + # Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}): + with pytest.raises(ValueError) as excinfo: + client = client_class(transport=transport_name) + assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`" + + # Check the case quota_project_id is provided + options = client_options.ClientOptions(quota_project_id="octopus") + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE), + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id="octopus", + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + # Check the case api_endpoint is provided + options = client_options.ClientOptions(api_audience="https://language.googleapis.com") + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE), + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience="https://language.googleapis.com" + ) + +@pytest.mark.parametrize("client_class,transport_class,transport_name,use_client_cert_env", [ + (DocumentProcessorServiceClient, transports.DocumentProcessorServiceGrpcTransport, "grpc", "true"), + (DocumentProcessorServiceAsyncClient, transports.DocumentProcessorServiceGrpcAsyncIOTransport, "grpc_asyncio", "true"), + (DocumentProcessorServiceClient, transports.DocumentProcessorServiceGrpcTransport, "grpc", "false"), + (DocumentProcessorServiceAsyncClient, transports.DocumentProcessorServiceGrpcAsyncIOTransport, "grpc_asyncio", "false"), + (DocumentProcessorServiceClient, transports.DocumentProcessorServiceRestTransport, "rest", "true"), + (DocumentProcessorServiceClient, transports.DocumentProcessorServiceRestTransport, "rest", "false"), +]) +@mock.patch.object(DocumentProcessorServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DocumentProcessorServiceClient)) +@mock.patch.object(DocumentProcessorServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DocumentProcessorServiceAsyncClient)) +@mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"}) +def test_document_processor_service_client_mtls_env_auto(client_class, transport_class, transport_name, use_client_cert_env): + # This tests the endpoint autoswitch behavior. Endpoint is autoswitched to the default + # mtls endpoint, if GOOGLE_API_USE_CLIENT_CERTIFICATE is "true" and client cert exists. + + # Check the case client_cert_source is provided. Whether client cert is used depends on + # GOOGLE_API_USE_CLIENT_CERTIFICATE value. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}): + options = client_options.ClientOptions(client_cert_source=client_cert_source_callback) + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + + if use_client_cert_env == "false": + expected_client_cert_source = None + expected_host = client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE) + else: + expected_client_cert_source = client_cert_source_callback + expected_host = client.DEFAULT_MTLS_ENDPOINT + + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=expected_host, + scopes=None, + client_cert_source_for_mtls=expected_client_cert_source, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + # Check the case ADC client cert is provided. Whether client cert is used depends on + # GOOGLE_API_USE_CLIENT_CERTIFICATE value. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}): + with mock.patch.object(transport_class, '__init__') as patched: + with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True): + with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=client_cert_source_callback): + if use_client_cert_env == "false": + expected_host = client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE) + expected_client_cert_source = None + else: + expected_host = client.DEFAULT_MTLS_ENDPOINT + expected_client_cert_source = client_cert_source_callback + + patched.return_value = None + client = client_class(transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=expected_host, + scopes=None, + client_cert_source_for_mtls=expected_client_cert_source, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + # Check the case client_cert_source and ADC client cert are not provided. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}): + with mock.patch.object(transport_class, '__init__') as patched: + with mock.patch("google.auth.transport.mtls.has_default_client_cert_source", return_value=False): + patched.return_value = None + client = client_class(transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE), + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + +@pytest.mark.parametrize("client_class", [ + DocumentProcessorServiceClient, DocumentProcessorServiceAsyncClient +]) +@mock.patch.object(DocumentProcessorServiceClient, "DEFAULT_ENDPOINT", modify_default_endpoint(DocumentProcessorServiceClient)) +@mock.patch.object(DocumentProcessorServiceAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(DocumentProcessorServiceAsyncClient)) +def test_document_processor_service_client_get_mtls_endpoint_and_cert_source(client_class): + mock_client_cert_source = mock.Mock() + + # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "true". + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): + mock_api_endpoint = "foo" + options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint) + api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(options) + assert api_endpoint == mock_api_endpoint + assert cert_source == mock_client_cert_source + + # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "false". + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "false"}): + mock_client_cert_source = mock.Mock() + mock_api_endpoint = "foo" + options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint) + api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(options) + assert api_endpoint == mock_api_endpoint + assert cert_source is None + + # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "never". + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}): + api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() + assert api_endpoint == client_class.DEFAULT_ENDPOINT + assert cert_source is None + + # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "always". + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}): + api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() + assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT + assert cert_source is None + + # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert doesn't exist. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): + with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=False): + api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() + assert api_endpoint == client_class.DEFAULT_ENDPOINT + assert cert_source is None + + # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert exists. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): + with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True): + with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=mock_client_cert_source): + api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() + assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT + assert cert_source == mock_client_cert_source + + # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has + # unsupported value. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}): + with pytest.raises(MutualTLSChannelError) as excinfo: + client_class.get_mtls_endpoint_and_cert_source() + + assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + + # Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}): + with pytest.raises(ValueError) as excinfo: + client_class.get_mtls_endpoint_and_cert_source() + + assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`" + +@pytest.mark.parametrize("client_class", [ + DocumentProcessorServiceClient, DocumentProcessorServiceAsyncClient +]) +@mock.patch.object(DocumentProcessorServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DocumentProcessorServiceClient)) +@mock.patch.object(DocumentProcessorServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DocumentProcessorServiceAsyncClient)) +def test_document_processor_service_client_client_api_endpoint(client_class): + mock_client_cert_source = client_cert_source_callback + api_override = "foo.com" + default_universe = DocumentProcessorServiceClient._DEFAULT_UNIVERSE + default_endpoint = DocumentProcessorServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=default_universe) + mock_universe = "bar.com" + mock_endpoint = DocumentProcessorServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=mock_universe) + + # If ClientOptions.api_endpoint is set and GOOGLE_API_USE_CLIENT_CERTIFICATE="true", + # use ClientOptions.api_endpoint as the api endpoint regardless. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): + with mock.patch("google.auth.transport.requests.AuthorizedSession.configure_mtls_channel"): + options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=api_override) + client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials()) + assert client.api_endpoint == api_override + + # If ClientOptions.api_endpoint is not set and GOOGLE_API_USE_MTLS_ENDPOINT="never", + # use the _DEFAULT_ENDPOINT_TEMPLATE populated with GDU as the api endpoint. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}): + client = client_class(credentials=ga_credentials.AnonymousCredentials()) + assert client.api_endpoint == default_endpoint + + # If ClientOptions.api_endpoint is not set and GOOGLE_API_USE_MTLS_ENDPOINT="always", + # use the DEFAULT_MTLS_ENDPOINT as the api endpoint. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}): + client = client_class(credentials=ga_credentials.AnonymousCredentials()) + assert client.api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT + + # If ClientOptions.api_endpoint is not set, GOOGLE_API_USE_MTLS_ENDPOINT="auto" (default), + # GOOGLE_API_USE_CLIENT_CERTIFICATE="false" (default), default cert source doesn't exist, + # and ClientOptions.universe_domain="bar.com", + # use the _DEFAULT_ENDPOINT_TEMPLATE populated with universe domain as the api endpoint. + options = client_options.ClientOptions() + universe_exists = hasattr(options, "universe_domain") + if universe_exists: + options = client_options.ClientOptions(universe_domain=mock_universe) + client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials()) + else: + client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials()) + assert client.api_endpoint == (mock_endpoint if universe_exists else default_endpoint) + assert client.universe_domain == (mock_universe if universe_exists else default_universe) + + # If ClientOptions does not have a universe domain attribute and GOOGLE_API_USE_MTLS_ENDPOINT="never", + # use the _DEFAULT_ENDPOINT_TEMPLATE populated with GDU as the api endpoint. + options = client_options.ClientOptions() + if hasattr(options, "universe_domain"): + delattr(options, "universe_domain") + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}): + client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials()) + assert client.api_endpoint == default_endpoint + + +@pytest.mark.parametrize("client_class,transport_class,transport_name", [ + (DocumentProcessorServiceClient, transports.DocumentProcessorServiceGrpcTransport, "grpc"), + (DocumentProcessorServiceAsyncClient, transports.DocumentProcessorServiceGrpcAsyncIOTransport, "grpc_asyncio"), + (DocumentProcessorServiceClient, transports.DocumentProcessorServiceRestTransport, "rest"), +]) +def test_document_processor_service_client_client_options_scopes(client_class, transport_class, transport_name): + # Check the case scopes are provided. + options = client_options.ClientOptions( + scopes=["1", "2"], + ) + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE), + scopes=["1", "2"], + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + +@pytest.mark.parametrize("client_class,transport_class,transport_name,grpc_helpers", [ + (DocumentProcessorServiceClient, transports.DocumentProcessorServiceGrpcTransport, "grpc", grpc_helpers), + (DocumentProcessorServiceAsyncClient, transports.DocumentProcessorServiceGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async), + (DocumentProcessorServiceClient, transports.DocumentProcessorServiceRestTransport, "rest", None), +]) +def test_document_processor_service_client_client_options_credentials_file(client_class, transport_class, transport_name, grpc_helpers): + # Check the case credentials file is provided. + options = client_options.ClientOptions( + credentials_file="credentials.json" + ) + + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file="credentials.json", + host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE), + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + +def test_document_processor_service_client_client_options_from_dict(): + with mock.patch('google.cloud.documentai_v1beta3.services.document_processor_service.transports.DocumentProcessorServiceGrpcTransport.__init__') as grpc_transport: + grpc_transport.return_value = None + client = DocumentProcessorServiceClient( + client_options={'api_endpoint': 'squid.clam.whelk'} + ) + grpc_transport.assert_called_once_with( + credentials=None, + credentials_file=None, + host="squid.clam.whelk", + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + +@pytest.mark.parametrize("client_class,transport_class,transport_name,grpc_helpers", [ + (DocumentProcessorServiceClient, transports.DocumentProcessorServiceGrpcTransport, "grpc", grpc_helpers), + (DocumentProcessorServiceAsyncClient, transports.DocumentProcessorServiceGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async), +]) +def test_document_processor_service_client_create_channel_credentials_file(client_class, transport_class, transport_name, grpc_helpers): + # Check the case credentials file is provided. + options = client_options.ClientOptions( + credentials_file="credentials.json" + ) + + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file="credentials.json", + host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE), + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + # test that the credentials from file are saved and used as the credentials. + with mock.patch.object( + google.auth, "load_credentials_from_file", autospec=True + ) as load_creds, mock.patch.object( + google.auth, "default", autospec=True + ) as adc, mock.patch.object( + grpc_helpers, "create_channel" + ) as create_channel: + creds = ga_credentials.AnonymousCredentials() + file_creds = ga_credentials.AnonymousCredentials() + load_creds.return_value = (file_creds, None) + adc.return_value = (creds, None) + client = client_class(client_options=options, transport=transport_name) + create_channel.assert_called_with( + "documentai.googleapis.com:443", + credentials=file_creds, + credentials_file=None, + quota_project_id=None, + default_scopes=( + 'https://www.googleapis.com/auth/cloud-platform', +), + scopes=None, + default_host="documentai.googleapis.com", + ssl_credentials=None, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.ProcessRequest, + dict, +]) +def test_process_document(request_type, transport: str = 'grpc'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.process_document), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = document_processor_service.ProcessResponse( + human_review_operation='human_review_operation_value', + ) + response = client.process_document(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.ProcessRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, document_processor_service.ProcessResponse) + assert response.human_review_operation == 'human_review_operation_value' + + +def test_process_document_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.process_document), + '__call__') as call: + client.process_document() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.ProcessRequest() + +@pytest.mark.asyncio +async def test_process_document_async(transport: str = 'grpc_asyncio', request_type=document_processor_service.ProcessRequest): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.process_document), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(document_processor_service.ProcessResponse( + human_review_operation='human_review_operation_value', + )) + response = await client.process_document(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.ProcessRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, document_processor_service.ProcessResponse) + assert response.human_review_operation == 'human_review_operation_value' + + +@pytest.mark.asyncio +async def test_process_document_async_from_dict(): + await test_process_document_async(request_type=dict) + + +def test_process_document_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.ProcessRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.process_document), + '__call__') as call: + call.return_value = document_processor_service.ProcessResponse() + client.process_document(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_process_document_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.ProcessRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.process_document), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(document_processor_service.ProcessResponse()) + await client.process_document(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +def test_process_document_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.process_document), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = document_processor_service.ProcessResponse() + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.process_document( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + + +def test_process_document_flattened_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.process_document( + document_processor_service.ProcessRequest(), + name='name_value', + ) + +@pytest.mark.asyncio +async def test_process_document_flattened_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.process_document), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = document_processor_service.ProcessResponse() + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(document_processor_service.ProcessResponse()) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.process_document( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_process_document_flattened_error_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.process_document( + document_processor_service.ProcessRequest(), + name='name_value', + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.BatchProcessRequest, + dict, +]) +def test_batch_process_documents(request_type, transport: str = 'grpc'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.batch_process_documents), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/spam') + response = client.batch_process_documents(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.BatchProcessRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +def test_batch_process_documents_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.batch_process_documents), + '__call__') as call: + client.batch_process_documents() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.BatchProcessRequest() + +@pytest.mark.asyncio +async def test_batch_process_documents_async(transport: str = 'grpc_asyncio', request_type=document_processor_service.BatchProcessRequest): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.batch_process_documents), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + response = await client.batch_process_documents(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.BatchProcessRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +@pytest.mark.asyncio +async def test_batch_process_documents_async_from_dict(): + await test_batch_process_documents_async(request_type=dict) + + +def test_batch_process_documents_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.BatchProcessRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.batch_process_documents), + '__call__') as call: + call.return_value = operations_pb2.Operation(name='operations/op') + client.batch_process_documents(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_batch_process_documents_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.BatchProcessRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.batch_process_documents), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) + await client.batch_process_documents(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +def test_batch_process_documents_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.batch_process_documents), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.batch_process_documents( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + + +def test_batch_process_documents_flattened_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.batch_process_documents( + document_processor_service.BatchProcessRequest(), + name='name_value', + ) + +@pytest.mark.asyncio +async def test_batch_process_documents_flattened_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.batch_process_documents), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.batch_process_documents( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_batch_process_documents_flattened_error_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.batch_process_documents( + document_processor_service.BatchProcessRequest(), + name='name_value', + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.FetchProcessorTypesRequest, + dict, +]) +def test_fetch_processor_types(request_type, transport: str = 'grpc'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.fetch_processor_types), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = document_processor_service.FetchProcessorTypesResponse( + ) + response = client.fetch_processor_types(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.FetchProcessorTypesRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, document_processor_service.FetchProcessorTypesResponse) + + +def test_fetch_processor_types_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.fetch_processor_types), + '__call__') as call: + client.fetch_processor_types() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.FetchProcessorTypesRequest() + +@pytest.mark.asyncio +async def test_fetch_processor_types_async(transport: str = 'grpc_asyncio', request_type=document_processor_service.FetchProcessorTypesRequest): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.fetch_processor_types), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(document_processor_service.FetchProcessorTypesResponse( + )) + response = await client.fetch_processor_types(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.FetchProcessorTypesRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, document_processor_service.FetchProcessorTypesResponse) + + +@pytest.mark.asyncio +async def test_fetch_processor_types_async_from_dict(): + await test_fetch_processor_types_async(request_type=dict) + + +def test_fetch_processor_types_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.FetchProcessorTypesRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.fetch_processor_types), + '__call__') as call: + call.return_value = document_processor_service.FetchProcessorTypesResponse() + client.fetch_processor_types(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_fetch_processor_types_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.FetchProcessorTypesRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.fetch_processor_types), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(document_processor_service.FetchProcessorTypesResponse()) + await client.fetch_processor_types(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +def test_fetch_processor_types_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.fetch_processor_types), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = document_processor_service.FetchProcessorTypesResponse() + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.fetch_processor_types( + parent='parent_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].parent + mock_val = 'parent_value' + assert arg == mock_val + + +def test_fetch_processor_types_flattened_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.fetch_processor_types( + document_processor_service.FetchProcessorTypesRequest(), + parent='parent_value', + ) + +@pytest.mark.asyncio +async def test_fetch_processor_types_flattened_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.fetch_processor_types), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = document_processor_service.FetchProcessorTypesResponse() + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(document_processor_service.FetchProcessorTypesResponse()) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.fetch_processor_types( + parent='parent_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].parent + mock_val = 'parent_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_fetch_processor_types_flattened_error_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.fetch_processor_types( + document_processor_service.FetchProcessorTypesRequest(), + parent='parent_value', + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.ListProcessorTypesRequest, + dict, +]) +def test_list_processor_types(request_type, transport: str = 'grpc'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processor_types), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = document_processor_service.ListProcessorTypesResponse( + next_page_token='next_page_token_value', + ) + response = client.list_processor_types(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.ListProcessorTypesRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, pagers.ListProcessorTypesPager) + assert response.next_page_token == 'next_page_token_value' + + +def test_list_processor_types_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processor_types), + '__call__') as call: + client.list_processor_types() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.ListProcessorTypesRequest() + +@pytest.mark.asyncio +async def test_list_processor_types_async(transport: str = 'grpc_asyncio', request_type=document_processor_service.ListProcessorTypesRequest): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processor_types), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(document_processor_service.ListProcessorTypesResponse( + next_page_token='next_page_token_value', + )) + response = await client.list_processor_types(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.ListProcessorTypesRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, pagers.ListProcessorTypesAsyncPager) + assert response.next_page_token == 'next_page_token_value' + + +@pytest.mark.asyncio +async def test_list_processor_types_async_from_dict(): + await test_list_processor_types_async(request_type=dict) + + +def test_list_processor_types_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.ListProcessorTypesRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processor_types), + '__call__') as call: + call.return_value = document_processor_service.ListProcessorTypesResponse() + client.list_processor_types(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_list_processor_types_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.ListProcessorTypesRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processor_types), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(document_processor_service.ListProcessorTypesResponse()) + await client.list_processor_types(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +def test_list_processor_types_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processor_types), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = document_processor_service.ListProcessorTypesResponse() + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.list_processor_types( + parent='parent_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].parent + mock_val = 'parent_value' + assert arg == mock_val + + +def test_list_processor_types_flattened_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.list_processor_types( + document_processor_service.ListProcessorTypesRequest(), + parent='parent_value', + ) + +@pytest.mark.asyncio +async def test_list_processor_types_flattened_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processor_types), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = document_processor_service.ListProcessorTypesResponse() + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(document_processor_service.ListProcessorTypesResponse()) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.list_processor_types( + parent='parent_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].parent + mock_val = 'parent_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_list_processor_types_flattened_error_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.list_processor_types( + document_processor_service.ListProcessorTypesRequest(), + parent='parent_value', + ) + + +def test_list_processor_types_pager(transport_name: str = "grpc"): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport_name, + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processor_types), + '__call__') as call: + # Set the response to a series of pages. + call.side_effect = ( + document_processor_service.ListProcessorTypesResponse( + processor_types=[ + processor_type.ProcessorType(), + processor_type.ProcessorType(), + processor_type.ProcessorType(), + ], + next_page_token='abc', + ), + document_processor_service.ListProcessorTypesResponse( + processor_types=[], + next_page_token='def', + ), + document_processor_service.ListProcessorTypesResponse( + processor_types=[ + processor_type.ProcessorType(), + ], + next_page_token='ghi', + ), + document_processor_service.ListProcessorTypesResponse( + processor_types=[ + processor_type.ProcessorType(), + processor_type.ProcessorType(), + ], + ), + RuntimeError, + ) + + metadata = () + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ('parent', ''), + )), + ) + pager = client.list_processor_types(request={}) + + assert pager._metadata == metadata + + results = list(pager) + assert len(results) == 6 + assert all(isinstance(i, processor_type.ProcessorType) + for i in results) +def test_list_processor_types_pages(transport_name: str = "grpc"): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport_name, + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processor_types), + '__call__') as call: + # Set the response to a series of pages. + call.side_effect = ( + document_processor_service.ListProcessorTypesResponse( + processor_types=[ + processor_type.ProcessorType(), + processor_type.ProcessorType(), + processor_type.ProcessorType(), + ], + next_page_token='abc', + ), + document_processor_service.ListProcessorTypesResponse( + processor_types=[], + next_page_token='def', + ), + document_processor_service.ListProcessorTypesResponse( + processor_types=[ + processor_type.ProcessorType(), + ], + next_page_token='ghi', + ), + document_processor_service.ListProcessorTypesResponse( + processor_types=[ + processor_type.ProcessorType(), + processor_type.ProcessorType(), + ], + ), + RuntimeError, + ) + pages = list(client.list_processor_types(request={}).pages) + for page_, token in zip(pages, ['abc','def','ghi', '']): + assert page_.raw_page.next_page_token == token + +@pytest.mark.asyncio +async def test_list_processor_types_async_pager(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processor_types), + '__call__', new_callable=mock.AsyncMock) as call: + # Set the response to a series of pages. + call.side_effect = ( + document_processor_service.ListProcessorTypesResponse( + processor_types=[ + processor_type.ProcessorType(), + processor_type.ProcessorType(), + processor_type.ProcessorType(), + ], + next_page_token='abc', + ), + document_processor_service.ListProcessorTypesResponse( + processor_types=[], + next_page_token='def', + ), + document_processor_service.ListProcessorTypesResponse( + processor_types=[ + processor_type.ProcessorType(), + ], + next_page_token='ghi', + ), + document_processor_service.ListProcessorTypesResponse( + processor_types=[ + processor_type.ProcessorType(), + processor_type.ProcessorType(), + ], + ), + RuntimeError, + ) + async_pager = await client.list_processor_types(request={},) + assert async_pager.next_page_token == 'abc' + responses = [] + async for response in async_pager: # pragma: no branch + responses.append(response) + + assert len(responses) == 6 + assert all(isinstance(i, processor_type.ProcessorType) + for i in responses) + + +@pytest.mark.asyncio +async def test_list_processor_types_async_pages(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processor_types), + '__call__', new_callable=mock.AsyncMock) as call: + # Set the response to a series of pages. + call.side_effect = ( + document_processor_service.ListProcessorTypesResponse( + processor_types=[ + processor_type.ProcessorType(), + processor_type.ProcessorType(), + processor_type.ProcessorType(), + ], + next_page_token='abc', + ), + document_processor_service.ListProcessorTypesResponse( + processor_types=[], + next_page_token='def', + ), + document_processor_service.ListProcessorTypesResponse( + processor_types=[ + processor_type.ProcessorType(), + ], + next_page_token='ghi', + ), + document_processor_service.ListProcessorTypesResponse( + processor_types=[ + processor_type.ProcessorType(), + processor_type.ProcessorType(), + ], + ), + RuntimeError, + ) + pages = [] + # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch` + # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372 + async for page_ in ( # pragma: no branch + await client.list_processor_types(request={}) + ).pages: + pages.append(page_) + for page_, token in zip(pages, ['abc','def','ghi', '']): + assert page_.raw_page.next_page_token == token + +@pytest.mark.parametrize("request_type", [ + document_processor_service.GetProcessorTypeRequest, + dict, +]) +def test_get_processor_type(request_type, transport: str = 'grpc'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_processor_type), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = processor_type.ProcessorType( + name='name_value', + type_='type__value', + category='category_value', + allow_creation=True, + launch_stage=launch_stage_pb2.LaunchStage.UNIMPLEMENTED, + sample_document_uris=['sample_document_uris_value'], + ) + response = client.get_processor_type(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.GetProcessorTypeRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, processor_type.ProcessorType) + assert response.name == 'name_value' + assert response.type_ == 'type__value' + assert response.category == 'category_value' + assert response.allow_creation is True + assert response.launch_stage == launch_stage_pb2.LaunchStage.UNIMPLEMENTED + assert response.sample_document_uris == ['sample_document_uris_value'] + + +def test_get_processor_type_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_processor_type), + '__call__') as call: + client.get_processor_type() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.GetProcessorTypeRequest() + +@pytest.mark.asyncio +async def test_get_processor_type_async(transport: str = 'grpc_asyncio', request_type=document_processor_service.GetProcessorTypeRequest): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_processor_type), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(processor_type.ProcessorType( + name='name_value', + type_='type__value', + category='category_value', + allow_creation=True, + launch_stage=launch_stage_pb2.LaunchStage.UNIMPLEMENTED, + sample_document_uris=['sample_document_uris_value'], + )) + response = await client.get_processor_type(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.GetProcessorTypeRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, processor_type.ProcessorType) + assert response.name == 'name_value' + assert response.type_ == 'type__value' + assert response.category == 'category_value' + assert response.allow_creation is True + assert response.launch_stage == launch_stage_pb2.LaunchStage.UNIMPLEMENTED + assert response.sample_document_uris == ['sample_document_uris_value'] + + +@pytest.mark.asyncio +async def test_get_processor_type_async_from_dict(): + await test_get_processor_type_async(request_type=dict) + + +def test_get_processor_type_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.GetProcessorTypeRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_processor_type), + '__call__') as call: + call.return_value = processor_type.ProcessorType() + client.get_processor_type(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_get_processor_type_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.GetProcessorTypeRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_processor_type), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(processor_type.ProcessorType()) + await client.get_processor_type(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +def test_get_processor_type_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_processor_type), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = processor_type.ProcessorType() + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.get_processor_type( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + + +def test_get_processor_type_flattened_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.get_processor_type( + document_processor_service.GetProcessorTypeRequest(), + name='name_value', + ) + +@pytest.mark.asyncio +async def test_get_processor_type_flattened_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_processor_type), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = processor_type.ProcessorType() + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(processor_type.ProcessorType()) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.get_processor_type( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_get_processor_type_flattened_error_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.get_processor_type( + document_processor_service.GetProcessorTypeRequest(), + name='name_value', + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.ListProcessorsRequest, + dict, +]) +def test_list_processors(request_type, transport: str = 'grpc'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processors), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = document_processor_service.ListProcessorsResponse( + next_page_token='next_page_token_value', + ) + response = client.list_processors(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.ListProcessorsRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, pagers.ListProcessorsPager) + assert response.next_page_token == 'next_page_token_value' + + +def test_list_processors_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processors), + '__call__') as call: + client.list_processors() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.ListProcessorsRequest() + +@pytest.mark.asyncio +async def test_list_processors_async(transport: str = 'grpc_asyncio', request_type=document_processor_service.ListProcessorsRequest): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processors), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(document_processor_service.ListProcessorsResponse( + next_page_token='next_page_token_value', + )) + response = await client.list_processors(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.ListProcessorsRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, pagers.ListProcessorsAsyncPager) + assert response.next_page_token == 'next_page_token_value' + + +@pytest.mark.asyncio +async def test_list_processors_async_from_dict(): + await test_list_processors_async(request_type=dict) + + +def test_list_processors_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.ListProcessorsRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processors), + '__call__') as call: + call.return_value = document_processor_service.ListProcessorsResponse() + client.list_processors(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_list_processors_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.ListProcessorsRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processors), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(document_processor_service.ListProcessorsResponse()) + await client.list_processors(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +def test_list_processors_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processors), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = document_processor_service.ListProcessorsResponse() + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.list_processors( + parent='parent_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].parent + mock_val = 'parent_value' + assert arg == mock_val + + +def test_list_processors_flattened_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.list_processors( + document_processor_service.ListProcessorsRequest(), + parent='parent_value', + ) + +@pytest.mark.asyncio +async def test_list_processors_flattened_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processors), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = document_processor_service.ListProcessorsResponse() + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(document_processor_service.ListProcessorsResponse()) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.list_processors( + parent='parent_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].parent + mock_val = 'parent_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_list_processors_flattened_error_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.list_processors( + document_processor_service.ListProcessorsRequest(), + parent='parent_value', + ) + + +def test_list_processors_pager(transport_name: str = "grpc"): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport_name, + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processors), + '__call__') as call: + # Set the response to a series of pages. + call.side_effect = ( + document_processor_service.ListProcessorsResponse( + processors=[ + processor.Processor(), + processor.Processor(), + processor.Processor(), + ], + next_page_token='abc', + ), + document_processor_service.ListProcessorsResponse( + processors=[], + next_page_token='def', + ), + document_processor_service.ListProcessorsResponse( + processors=[ + processor.Processor(), + ], + next_page_token='ghi', + ), + document_processor_service.ListProcessorsResponse( + processors=[ + processor.Processor(), + processor.Processor(), + ], + ), + RuntimeError, + ) + + metadata = () + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ('parent', ''), + )), + ) + pager = client.list_processors(request={}) + + assert pager._metadata == metadata + + results = list(pager) + assert len(results) == 6 + assert all(isinstance(i, processor.Processor) + for i in results) +def test_list_processors_pages(transport_name: str = "grpc"): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport_name, + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processors), + '__call__') as call: + # Set the response to a series of pages. + call.side_effect = ( + document_processor_service.ListProcessorsResponse( + processors=[ + processor.Processor(), + processor.Processor(), + processor.Processor(), + ], + next_page_token='abc', + ), + document_processor_service.ListProcessorsResponse( + processors=[], + next_page_token='def', + ), + document_processor_service.ListProcessorsResponse( + processors=[ + processor.Processor(), + ], + next_page_token='ghi', + ), + document_processor_service.ListProcessorsResponse( + processors=[ + processor.Processor(), + processor.Processor(), + ], + ), + RuntimeError, + ) + pages = list(client.list_processors(request={}).pages) + for page_, token in zip(pages, ['abc','def','ghi', '']): + assert page_.raw_page.next_page_token == token + +@pytest.mark.asyncio +async def test_list_processors_async_pager(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processors), + '__call__', new_callable=mock.AsyncMock) as call: + # Set the response to a series of pages. + call.side_effect = ( + document_processor_service.ListProcessorsResponse( + processors=[ + processor.Processor(), + processor.Processor(), + processor.Processor(), + ], + next_page_token='abc', + ), + document_processor_service.ListProcessorsResponse( + processors=[], + next_page_token='def', + ), + document_processor_service.ListProcessorsResponse( + processors=[ + processor.Processor(), + ], + next_page_token='ghi', + ), + document_processor_service.ListProcessorsResponse( + processors=[ + processor.Processor(), + processor.Processor(), + ], + ), + RuntimeError, + ) + async_pager = await client.list_processors(request={},) + assert async_pager.next_page_token == 'abc' + responses = [] + async for response in async_pager: # pragma: no branch + responses.append(response) + + assert len(responses) == 6 + assert all(isinstance(i, processor.Processor) + for i in responses) + + +@pytest.mark.asyncio +async def test_list_processors_async_pages(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processors), + '__call__', new_callable=mock.AsyncMock) as call: + # Set the response to a series of pages. + call.side_effect = ( + document_processor_service.ListProcessorsResponse( + processors=[ + processor.Processor(), + processor.Processor(), + processor.Processor(), + ], + next_page_token='abc', + ), + document_processor_service.ListProcessorsResponse( + processors=[], + next_page_token='def', + ), + document_processor_service.ListProcessorsResponse( + processors=[ + processor.Processor(), + ], + next_page_token='ghi', + ), + document_processor_service.ListProcessorsResponse( + processors=[ + processor.Processor(), + processor.Processor(), + ], + ), + RuntimeError, + ) + pages = [] + # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch` + # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372 + async for page_ in ( # pragma: no branch + await client.list_processors(request={}) + ).pages: + pages.append(page_) + for page_, token in zip(pages, ['abc','def','ghi', '']): + assert page_.raw_page.next_page_token == token + +@pytest.mark.parametrize("request_type", [ + document_processor_service.GetProcessorRequest, + dict, +]) +def test_get_processor(request_type, transport: str = 'grpc'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_processor), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = processor.Processor( + name='name_value', + type_='type__value', + display_name='display_name_value', + state=processor.Processor.State.ENABLED, + default_processor_version='default_processor_version_value', + process_endpoint='process_endpoint_value', + kms_key_name='kms_key_name_value', + ) + response = client.get_processor(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.GetProcessorRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, processor.Processor) + assert response.name == 'name_value' + assert response.type_ == 'type__value' + assert response.display_name == 'display_name_value' + assert response.state == processor.Processor.State.ENABLED + assert response.default_processor_version == 'default_processor_version_value' + assert response.process_endpoint == 'process_endpoint_value' + assert response.kms_key_name == 'kms_key_name_value' + + +def test_get_processor_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_processor), + '__call__') as call: + client.get_processor() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.GetProcessorRequest() + +@pytest.mark.asyncio +async def test_get_processor_async(transport: str = 'grpc_asyncio', request_type=document_processor_service.GetProcessorRequest): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_processor), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(processor.Processor( + name='name_value', + type_='type__value', + display_name='display_name_value', + state=processor.Processor.State.ENABLED, + default_processor_version='default_processor_version_value', + process_endpoint='process_endpoint_value', + kms_key_name='kms_key_name_value', + )) + response = await client.get_processor(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.GetProcessorRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, processor.Processor) + assert response.name == 'name_value' + assert response.type_ == 'type__value' + assert response.display_name == 'display_name_value' + assert response.state == processor.Processor.State.ENABLED + assert response.default_processor_version == 'default_processor_version_value' + assert response.process_endpoint == 'process_endpoint_value' + assert response.kms_key_name == 'kms_key_name_value' + + +@pytest.mark.asyncio +async def test_get_processor_async_from_dict(): + await test_get_processor_async(request_type=dict) + + +def test_get_processor_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.GetProcessorRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_processor), + '__call__') as call: + call.return_value = processor.Processor() + client.get_processor(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_get_processor_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.GetProcessorRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_processor), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(processor.Processor()) + await client.get_processor(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +def test_get_processor_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_processor), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = processor.Processor() + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.get_processor( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + + +def test_get_processor_flattened_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.get_processor( + document_processor_service.GetProcessorRequest(), + name='name_value', + ) + +@pytest.mark.asyncio +async def test_get_processor_flattened_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_processor), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = processor.Processor() + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(processor.Processor()) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.get_processor( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_get_processor_flattened_error_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.get_processor( + document_processor_service.GetProcessorRequest(), + name='name_value', + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.TrainProcessorVersionRequest, + dict, +]) +def test_train_processor_version(request_type, transport: str = 'grpc'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.train_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/spam') + response = client.train_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.TrainProcessorVersionRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +def test_train_processor_version_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.train_processor_version), + '__call__') as call: + client.train_processor_version() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.TrainProcessorVersionRequest() + +@pytest.mark.asyncio +async def test_train_processor_version_async(transport: str = 'grpc_asyncio', request_type=document_processor_service.TrainProcessorVersionRequest): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.train_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + response = await client.train_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.TrainProcessorVersionRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +@pytest.mark.asyncio +async def test_train_processor_version_async_from_dict(): + await test_train_processor_version_async(request_type=dict) + + +def test_train_processor_version_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.TrainProcessorVersionRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.train_processor_version), + '__call__') as call: + call.return_value = operations_pb2.Operation(name='operations/op') + client.train_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_train_processor_version_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.TrainProcessorVersionRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.train_processor_version), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) + await client.train_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +def test_train_processor_version_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.train_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.train_processor_version( + parent='parent_value', + processor_version=processor.ProcessorVersion(name='name_value'), + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].parent + mock_val = 'parent_value' + assert arg == mock_val + arg = args[0].processor_version + mock_val = processor.ProcessorVersion(name='name_value') + assert arg == mock_val + + +def test_train_processor_version_flattened_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.train_processor_version( + document_processor_service.TrainProcessorVersionRequest(), + parent='parent_value', + processor_version=processor.ProcessorVersion(name='name_value'), + ) + +@pytest.mark.asyncio +async def test_train_processor_version_flattened_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.train_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.train_processor_version( + parent='parent_value', + processor_version=processor.ProcessorVersion(name='name_value'), + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].parent + mock_val = 'parent_value' + assert arg == mock_val + arg = args[0].processor_version + mock_val = processor.ProcessorVersion(name='name_value') + assert arg == mock_val + +@pytest.mark.asyncio +async def test_train_processor_version_flattened_error_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.train_processor_version( + document_processor_service.TrainProcessorVersionRequest(), + parent='parent_value', + processor_version=processor.ProcessorVersion(name='name_value'), + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.GetProcessorVersionRequest, + dict, +]) +def test_get_processor_version(request_type, transport: str = 'grpc'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = processor.ProcessorVersion( + name='name_value', + display_name='display_name_value', + state=processor.ProcessorVersion.State.DEPLOYED, + kms_key_name='kms_key_name_value', + kms_key_version_name='kms_key_version_name_value', + google_managed=True, + model_type=processor.ProcessorVersion.ModelType.MODEL_TYPE_GENERATIVE, + ) + response = client.get_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.GetProcessorVersionRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, processor.ProcessorVersion) + assert response.name == 'name_value' + assert response.display_name == 'display_name_value' + assert response.state == processor.ProcessorVersion.State.DEPLOYED + assert response.kms_key_name == 'kms_key_name_value' + assert response.kms_key_version_name == 'kms_key_version_name_value' + assert response.google_managed is True + assert response.model_type == processor.ProcessorVersion.ModelType.MODEL_TYPE_GENERATIVE + + +def test_get_processor_version_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_processor_version), + '__call__') as call: + client.get_processor_version() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.GetProcessorVersionRequest() + +@pytest.mark.asyncio +async def test_get_processor_version_async(transport: str = 'grpc_asyncio', request_type=document_processor_service.GetProcessorVersionRequest): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(processor.ProcessorVersion( + name='name_value', + display_name='display_name_value', + state=processor.ProcessorVersion.State.DEPLOYED, + kms_key_name='kms_key_name_value', + kms_key_version_name='kms_key_version_name_value', + google_managed=True, + model_type=processor.ProcessorVersion.ModelType.MODEL_TYPE_GENERATIVE, + )) + response = await client.get_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.GetProcessorVersionRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, processor.ProcessorVersion) + assert response.name == 'name_value' + assert response.display_name == 'display_name_value' + assert response.state == processor.ProcessorVersion.State.DEPLOYED + assert response.kms_key_name == 'kms_key_name_value' + assert response.kms_key_version_name == 'kms_key_version_name_value' + assert response.google_managed is True + assert response.model_type == processor.ProcessorVersion.ModelType.MODEL_TYPE_GENERATIVE + + +@pytest.mark.asyncio +async def test_get_processor_version_async_from_dict(): + await test_get_processor_version_async(request_type=dict) + + +def test_get_processor_version_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.GetProcessorVersionRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_processor_version), + '__call__') as call: + call.return_value = processor.ProcessorVersion() + client.get_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_get_processor_version_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.GetProcessorVersionRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_processor_version), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(processor.ProcessorVersion()) + await client.get_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +def test_get_processor_version_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = processor.ProcessorVersion() + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.get_processor_version( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + + +def test_get_processor_version_flattened_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.get_processor_version( + document_processor_service.GetProcessorVersionRequest(), + name='name_value', + ) + +@pytest.mark.asyncio +async def test_get_processor_version_flattened_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = processor.ProcessorVersion() + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(processor.ProcessorVersion()) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.get_processor_version( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_get_processor_version_flattened_error_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.get_processor_version( + document_processor_service.GetProcessorVersionRequest(), + name='name_value', + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.ListProcessorVersionsRequest, + dict, +]) +def test_list_processor_versions(request_type, transport: str = 'grpc'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processor_versions), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = document_processor_service.ListProcessorVersionsResponse( + next_page_token='next_page_token_value', + ) + response = client.list_processor_versions(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.ListProcessorVersionsRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, pagers.ListProcessorVersionsPager) + assert response.next_page_token == 'next_page_token_value' + + +def test_list_processor_versions_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processor_versions), + '__call__') as call: + client.list_processor_versions() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.ListProcessorVersionsRequest() + +@pytest.mark.asyncio +async def test_list_processor_versions_async(transport: str = 'grpc_asyncio', request_type=document_processor_service.ListProcessorVersionsRequest): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processor_versions), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(document_processor_service.ListProcessorVersionsResponse( + next_page_token='next_page_token_value', + )) + response = await client.list_processor_versions(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.ListProcessorVersionsRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, pagers.ListProcessorVersionsAsyncPager) + assert response.next_page_token == 'next_page_token_value' + + +@pytest.mark.asyncio +async def test_list_processor_versions_async_from_dict(): + await test_list_processor_versions_async(request_type=dict) + + +def test_list_processor_versions_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.ListProcessorVersionsRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processor_versions), + '__call__') as call: + call.return_value = document_processor_service.ListProcessorVersionsResponse() + client.list_processor_versions(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_list_processor_versions_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.ListProcessorVersionsRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processor_versions), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(document_processor_service.ListProcessorVersionsResponse()) + await client.list_processor_versions(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +def test_list_processor_versions_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processor_versions), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = document_processor_service.ListProcessorVersionsResponse() + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.list_processor_versions( + parent='parent_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].parent + mock_val = 'parent_value' + assert arg == mock_val + + +def test_list_processor_versions_flattened_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.list_processor_versions( + document_processor_service.ListProcessorVersionsRequest(), + parent='parent_value', + ) + +@pytest.mark.asyncio +async def test_list_processor_versions_flattened_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processor_versions), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = document_processor_service.ListProcessorVersionsResponse() + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(document_processor_service.ListProcessorVersionsResponse()) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.list_processor_versions( + parent='parent_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].parent + mock_val = 'parent_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_list_processor_versions_flattened_error_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.list_processor_versions( + document_processor_service.ListProcessorVersionsRequest(), + parent='parent_value', + ) + + +def test_list_processor_versions_pager(transport_name: str = "grpc"): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport_name, + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processor_versions), + '__call__') as call: + # Set the response to a series of pages. + call.side_effect = ( + document_processor_service.ListProcessorVersionsResponse( + processor_versions=[ + processor.ProcessorVersion(), + processor.ProcessorVersion(), + processor.ProcessorVersion(), + ], + next_page_token='abc', + ), + document_processor_service.ListProcessorVersionsResponse( + processor_versions=[], + next_page_token='def', + ), + document_processor_service.ListProcessorVersionsResponse( + processor_versions=[ + processor.ProcessorVersion(), + ], + next_page_token='ghi', + ), + document_processor_service.ListProcessorVersionsResponse( + processor_versions=[ + processor.ProcessorVersion(), + processor.ProcessorVersion(), + ], + ), + RuntimeError, + ) + + metadata = () + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ('parent', ''), + )), + ) + pager = client.list_processor_versions(request={}) + + assert pager._metadata == metadata + + results = list(pager) + assert len(results) == 6 + assert all(isinstance(i, processor.ProcessorVersion) + for i in results) +def test_list_processor_versions_pages(transport_name: str = "grpc"): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport_name, + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processor_versions), + '__call__') as call: + # Set the response to a series of pages. + call.side_effect = ( + document_processor_service.ListProcessorVersionsResponse( + processor_versions=[ + processor.ProcessorVersion(), + processor.ProcessorVersion(), + processor.ProcessorVersion(), + ], + next_page_token='abc', + ), + document_processor_service.ListProcessorVersionsResponse( + processor_versions=[], + next_page_token='def', + ), + document_processor_service.ListProcessorVersionsResponse( + processor_versions=[ + processor.ProcessorVersion(), + ], + next_page_token='ghi', + ), + document_processor_service.ListProcessorVersionsResponse( + processor_versions=[ + processor.ProcessorVersion(), + processor.ProcessorVersion(), + ], + ), + RuntimeError, + ) + pages = list(client.list_processor_versions(request={}).pages) + for page_, token in zip(pages, ['abc','def','ghi', '']): + assert page_.raw_page.next_page_token == token + +@pytest.mark.asyncio +async def test_list_processor_versions_async_pager(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processor_versions), + '__call__', new_callable=mock.AsyncMock) as call: + # Set the response to a series of pages. + call.side_effect = ( + document_processor_service.ListProcessorVersionsResponse( + processor_versions=[ + processor.ProcessorVersion(), + processor.ProcessorVersion(), + processor.ProcessorVersion(), + ], + next_page_token='abc', + ), + document_processor_service.ListProcessorVersionsResponse( + processor_versions=[], + next_page_token='def', + ), + document_processor_service.ListProcessorVersionsResponse( + processor_versions=[ + processor.ProcessorVersion(), + ], + next_page_token='ghi', + ), + document_processor_service.ListProcessorVersionsResponse( + processor_versions=[ + processor.ProcessorVersion(), + processor.ProcessorVersion(), + ], + ), + RuntimeError, + ) + async_pager = await client.list_processor_versions(request={},) + assert async_pager.next_page_token == 'abc' + responses = [] + async for response in async_pager: # pragma: no branch + responses.append(response) + + assert len(responses) == 6 + assert all(isinstance(i, processor.ProcessorVersion) + for i in responses) + + +@pytest.mark.asyncio +async def test_list_processor_versions_async_pages(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_processor_versions), + '__call__', new_callable=mock.AsyncMock) as call: + # Set the response to a series of pages. + call.side_effect = ( + document_processor_service.ListProcessorVersionsResponse( + processor_versions=[ + processor.ProcessorVersion(), + processor.ProcessorVersion(), + processor.ProcessorVersion(), + ], + next_page_token='abc', + ), + document_processor_service.ListProcessorVersionsResponse( + processor_versions=[], + next_page_token='def', + ), + document_processor_service.ListProcessorVersionsResponse( + processor_versions=[ + processor.ProcessorVersion(), + ], + next_page_token='ghi', + ), + document_processor_service.ListProcessorVersionsResponse( + processor_versions=[ + processor.ProcessorVersion(), + processor.ProcessorVersion(), + ], + ), + RuntimeError, + ) + pages = [] + # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch` + # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372 + async for page_ in ( # pragma: no branch + await client.list_processor_versions(request={}) + ).pages: + pages.append(page_) + for page_, token in zip(pages, ['abc','def','ghi', '']): + assert page_.raw_page.next_page_token == token + +@pytest.mark.parametrize("request_type", [ + document_processor_service.DeleteProcessorVersionRequest, + dict, +]) +def test_delete_processor_version(request_type, transport: str = 'grpc'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/spam') + response = client.delete_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.DeleteProcessorVersionRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +def test_delete_processor_version_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_processor_version), + '__call__') as call: + client.delete_processor_version() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.DeleteProcessorVersionRequest() + +@pytest.mark.asyncio +async def test_delete_processor_version_async(transport: str = 'grpc_asyncio', request_type=document_processor_service.DeleteProcessorVersionRequest): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + response = await client.delete_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.DeleteProcessorVersionRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +@pytest.mark.asyncio +async def test_delete_processor_version_async_from_dict(): + await test_delete_processor_version_async(request_type=dict) + + +def test_delete_processor_version_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.DeleteProcessorVersionRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_processor_version), + '__call__') as call: + call.return_value = operations_pb2.Operation(name='operations/op') + client.delete_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_delete_processor_version_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.DeleteProcessorVersionRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_processor_version), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) + await client.delete_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +def test_delete_processor_version_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.delete_processor_version( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + + +def test_delete_processor_version_flattened_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.delete_processor_version( + document_processor_service.DeleteProcessorVersionRequest(), + name='name_value', + ) + +@pytest.mark.asyncio +async def test_delete_processor_version_flattened_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.delete_processor_version( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_delete_processor_version_flattened_error_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.delete_processor_version( + document_processor_service.DeleteProcessorVersionRequest(), + name='name_value', + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.DeployProcessorVersionRequest, + dict, +]) +def test_deploy_processor_version(request_type, transport: str = 'grpc'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.deploy_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/spam') + response = client.deploy_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.DeployProcessorVersionRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +def test_deploy_processor_version_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.deploy_processor_version), + '__call__') as call: + client.deploy_processor_version() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.DeployProcessorVersionRequest() + +@pytest.mark.asyncio +async def test_deploy_processor_version_async(transport: str = 'grpc_asyncio', request_type=document_processor_service.DeployProcessorVersionRequest): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.deploy_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + response = await client.deploy_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.DeployProcessorVersionRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +@pytest.mark.asyncio +async def test_deploy_processor_version_async_from_dict(): + await test_deploy_processor_version_async(request_type=dict) + + +def test_deploy_processor_version_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.DeployProcessorVersionRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.deploy_processor_version), + '__call__') as call: + call.return_value = operations_pb2.Operation(name='operations/op') + client.deploy_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_deploy_processor_version_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.DeployProcessorVersionRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.deploy_processor_version), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) + await client.deploy_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +def test_deploy_processor_version_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.deploy_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.deploy_processor_version( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + + +def test_deploy_processor_version_flattened_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.deploy_processor_version( + document_processor_service.DeployProcessorVersionRequest(), + name='name_value', + ) + +@pytest.mark.asyncio +async def test_deploy_processor_version_flattened_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.deploy_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.deploy_processor_version( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_deploy_processor_version_flattened_error_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.deploy_processor_version( + document_processor_service.DeployProcessorVersionRequest(), + name='name_value', + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.UndeployProcessorVersionRequest, + dict, +]) +def test_undeploy_processor_version(request_type, transport: str = 'grpc'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.undeploy_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/spam') + response = client.undeploy_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.UndeployProcessorVersionRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +def test_undeploy_processor_version_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.undeploy_processor_version), + '__call__') as call: + client.undeploy_processor_version() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.UndeployProcessorVersionRequest() + +@pytest.mark.asyncio +async def test_undeploy_processor_version_async(transport: str = 'grpc_asyncio', request_type=document_processor_service.UndeployProcessorVersionRequest): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.undeploy_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + response = await client.undeploy_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.UndeployProcessorVersionRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +@pytest.mark.asyncio +async def test_undeploy_processor_version_async_from_dict(): + await test_undeploy_processor_version_async(request_type=dict) + + +def test_undeploy_processor_version_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.UndeployProcessorVersionRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.undeploy_processor_version), + '__call__') as call: + call.return_value = operations_pb2.Operation(name='operations/op') + client.undeploy_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_undeploy_processor_version_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.UndeployProcessorVersionRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.undeploy_processor_version), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) + await client.undeploy_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +def test_undeploy_processor_version_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.undeploy_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.undeploy_processor_version( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + + +def test_undeploy_processor_version_flattened_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.undeploy_processor_version( + document_processor_service.UndeployProcessorVersionRequest(), + name='name_value', + ) + +@pytest.mark.asyncio +async def test_undeploy_processor_version_flattened_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.undeploy_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.undeploy_processor_version( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_undeploy_processor_version_flattened_error_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.undeploy_processor_version( + document_processor_service.UndeployProcessorVersionRequest(), + name='name_value', + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.CreateProcessorRequest, + dict, +]) +def test_create_processor(request_type, transport: str = 'grpc'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.create_processor), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = gcd_processor.Processor( + name='name_value', + type_='type__value', + display_name='display_name_value', + state=gcd_processor.Processor.State.ENABLED, + default_processor_version='default_processor_version_value', + process_endpoint='process_endpoint_value', + kms_key_name='kms_key_name_value', + ) + response = client.create_processor(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.CreateProcessorRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, gcd_processor.Processor) + assert response.name == 'name_value' + assert response.type_ == 'type__value' + assert response.display_name == 'display_name_value' + assert response.state == gcd_processor.Processor.State.ENABLED + assert response.default_processor_version == 'default_processor_version_value' + assert response.process_endpoint == 'process_endpoint_value' + assert response.kms_key_name == 'kms_key_name_value' + + +def test_create_processor_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.create_processor), + '__call__') as call: + client.create_processor() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.CreateProcessorRequest() + +@pytest.mark.asyncio +async def test_create_processor_async(transport: str = 'grpc_asyncio', request_type=document_processor_service.CreateProcessorRequest): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.create_processor), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(gcd_processor.Processor( + name='name_value', + type_='type__value', + display_name='display_name_value', + state=gcd_processor.Processor.State.ENABLED, + default_processor_version='default_processor_version_value', + process_endpoint='process_endpoint_value', + kms_key_name='kms_key_name_value', + )) + response = await client.create_processor(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.CreateProcessorRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, gcd_processor.Processor) + assert response.name == 'name_value' + assert response.type_ == 'type__value' + assert response.display_name == 'display_name_value' + assert response.state == gcd_processor.Processor.State.ENABLED + assert response.default_processor_version == 'default_processor_version_value' + assert response.process_endpoint == 'process_endpoint_value' + assert response.kms_key_name == 'kms_key_name_value' + + +@pytest.mark.asyncio +async def test_create_processor_async_from_dict(): + await test_create_processor_async(request_type=dict) + + +def test_create_processor_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.CreateProcessorRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.create_processor), + '__call__') as call: + call.return_value = gcd_processor.Processor() + client.create_processor(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_create_processor_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.CreateProcessorRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.create_processor), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(gcd_processor.Processor()) + await client.create_processor(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +def test_create_processor_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.create_processor), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = gcd_processor.Processor() + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.create_processor( + parent='parent_value', + processor=gcd_processor.Processor(name='name_value'), + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].parent + mock_val = 'parent_value' + assert arg == mock_val + arg = args[0].processor + mock_val = gcd_processor.Processor(name='name_value') + assert arg == mock_val + + +def test_create_processor_flattened_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.create_processor( + document_processor_service.CreateProcessorRequest(), + parent='parent_value', + processor=gcd_processor.Processor(name='name_value'), + ) + +@pytest.mark.asyncio +async def test_create_processor_flattened_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.create_processor), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = gcd_processor.Processor() + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(gcd_processor.Processor()) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.create_processor( + parent='parent_value', + processor=gcd_processor.Processor(name='name_value'), + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].parent + mock_val = 'parent_value' + assert arg == mock_val + arg = args[0].processor + mock_val = gcd_processor.Processor(name='name_value') + assert arg == mock_val + +@pytest.mark.asyncio +async def test_create_processor_flattened_error_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.create_processor( + document_processor_service.CreateProcessorRequest(), + parent='parent_value', + processor=gcd_processor.Processor(name='name_value'), + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.DeleteProcessorRequest, + dict, +]) +def test_delete_processor(request_type, transport: str = 'grpc'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_processor), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/spam') + response = client.delete_processor(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.DeleteProcessorRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +def test_delete_processor_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_processor), + '__call__') as call: + client.delete_processor() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.DeleteProcessorRequest() + +@pytest.mark.asyncio +async def test_delete_processor_async(transport: str = 'grpc_asyncio', request_type=document_processor_service.DeleteProcessorRequest): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_processor), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + response = await client.delete_processor(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.DeleteProcessorRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +@pytest.mark.asyncio +async def test_delete_processor_async_from_dict(): + await test_delete_processor_async(request_type=dict) + + +def test_delete_processor_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.DeleteProcessorRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_processor), + '__call__') as call: + call.return_value = operations_pb2.Operation(name='operations/op') + client.delete_processor(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_delete_processor_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.DeleteProcessorRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_processor), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) + await client.delete_processor(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +def test_delete_processor_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_processor), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.delete_processor( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + + +def test_delete_processor_flattened_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.delete_processor( + document_processor_service.DeleteProcessorRequest(), + name='name_value', + ) + +@pytest.mark.asyncio +async def test_delete_processor_flattened_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_processor), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.delete_processor( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_delete_processor_flattened_error_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.delete_processor( + document_processor_service.DeleteProcessorRequest(), + name='name_value', + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.EnableProcessorRequest, + dict, +]) +def test_enable_processor(request_type, transport: str = 'grpc'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.enable_processor), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/spam') + response = client.enable_processor(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.EnableProcessorRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +def test_enable_processor_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.enable_processor), + '__call__') as call: + client.enable_processor() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.EnableProcessorRequest() + +@pytest.mark.asyncio +async def test_enable_processor_async(transport: str = 'grpc_asyncio', request_type=document_processor_service.EnableProcessorRequest): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.enable_processor), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + response = await client.enable_processor(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.EnableProcessorRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +@pytest.mark.asyncio +async def test_enable_processor_async_from_dict(): + await test_enable_processor_async(request_type=dict) + + +def test_enable_processor_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.EnableProcessorRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.enable_processor), + '__call__') as call: + call.return_value = operations_pb2.Operation(name='operations/op') + client.enable_processor(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_enable_processor_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.EnableProcessorRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.enable_processor), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) + await client.enable_processor(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.DisableProcessorRequest, + dict, +]) +def test_disable_processor(request_type, transport: str = 'grpc'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.disable_processor), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/spam') + response = client.disable_processor(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.DisableProcessorRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +def test_disable_processor_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.disable_processor), + '__call__') as call: + client.disable_processor() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.DisableProcessorRequest() + +@pytest.mark.asyncio +async def test_disable_processor_async(transport: str = 'grpc_asyncio', request_type=document_processor_service.DisableProcessorRequest): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.disable_processor), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + response = await client.disable_processor(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.DisableProcessorRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +@pytest.mark.asyncio +async def test_disable_processor_async_from_dict(): + await test_disable_processor_async(request_type=dict) + + +def test_disable_processor_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.DisableProcessorRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.disable_processor), + '__call__') as call: + call.return_value = operations_pb2.Operation(name='operations/op') + client.disable_processor(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_disable_processor_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.DisableProcessorRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.disable_processor), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) + await client.disable_processor(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.SetDefaultProcessorVersionRequest, + dict, +]) +def test_set_default_processor_version(request_type, transport: str = 'grpc'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.set_default_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/spam') + response = client.set_default_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.SetDefaultProcessorVersionRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +def test_set_default_processor_version_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.set_default_processor_version), + '__call__') as call: + client.set_default_processor_version() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.SetDefaultProcessorVersionRequest() + +@pytest.mark.asyncio +async def test_set_default_processor_version_async(transport: str = 'grpc_asyncio', request_type=document_processor_service.SetDefaultProcessorVersionRequest): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.set_default_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + response = await client.set_default_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.SetDefaultProcessorVersionRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +@pytest.mark.asyncio +async def test_set_default_processor_version_async_from_dict(): + await test_set_default_processor_version_async(request_type=dict) + + +def test_set_default_processor_version_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.SetDefaultProcessorVersionRequest() + + request.processor = 'processor_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.set_default_processor_version), + '__call__') as call: + call.return_value = operations_pb2.Operation(name='operations/op') + client.set_default_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'processor=processor_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_set_default_processor_version_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.SetDefaultProcessorVersionRequest() + + request.processor = 'processor_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.set_default_processor_version), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) + await client.set_default_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'processor=processor_value', + ) in kw['metadata'] + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.ReviewDocumentRequest, + dict, +]) +def test_review_document(request_type, transport: str = 'grpc'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.review_document), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/spam') + response = client.review_document(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.ReviewDocumentRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +def test_review_document_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.review_document), + '__call__') as call: + client.review_document() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.ReviewDocumentRequest() + +@pytest.mark.asyncio +async def test_review_document_async(transport: str = 'grpc_asyncio', request_type=document_processor_service.ReviewDocumentRequest): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.review_document), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + response = await client.review_document(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.ReviewDocumentRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +@pytest.mark.asyncio +async def test_review_document_async_from_dict(): + await test_review_document_async(request_type=dict) + + +def test_review_document_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.ReviewDocumentRequest() + + request.human_review_config = 'human_review_config_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.review_document), + '__call__') as call: + call.return_value = operations_pb2.Operation(name='operations/op') + client.review_document(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'human_review_config=human_review_config_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_review_document_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.ReviewDocumentRequest() + + request.human_review_config = 'human_review_config_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.review_document), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) + await client.review_document(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'human_review_config=human_review_config_value', + ) in kw['metadata'] + + +def test_review_document_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.review_document), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.review_document( + human_review_config='human_review_config_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].human_review_config + mock_val = 'human_review_config_value' + assert arg == mock_val + + +def test_review_document_flattened_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.review_document( + document_processor_service.ReviewDocumentRequest(), + human_review_config='human_review_config_value', + ) + +@pytest.mark.asyncio +async def test_review_document_flattened_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.review_document), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.review_document( + human_review_config='human_review_config_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].human_review_config + mock_val = 'human_review_config_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_review_document_flattened_error_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.review_document( + document_processor_service.ReviewDocumentRequest(), + human_review_config='human_review_config_value', + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.EvaluateProcessorVersionRequest, + dict, +]) +def test_evaluate_processor_version(request_type, transport: str = 'grpc'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.evaluate_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/spam') + response = client.evaluate_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.EvaluateProcessorVersionRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +def test_evaluate_processor_version_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.evaluate_processor_version), + '__call__') as call: + client.evaluate_processor_version() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.EvaluateProcessorVersionRequest() + +@pytest.mark.asyncio +async def test_evaluate_processor_version_async(transport: str = 'grpc_asyncio', request_type=document_processor_service.EvaluateProcessorVersionRequest): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.evaluate_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + response = await client.evaluate_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.EvaluateProcessorVersionRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +@pytest.mark.asyncio +async def test_evaluate_processor_version_async_from_dict(): + await test_evaluate_processor_version_async(request_type=dict) + + +def test_evaluate_processor_version_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.EvaluateProcessorVersionRequest() + + request.processor_version = 'processor_version_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.evaluate_processor_version), + '__call__') as call: + call.return_value = operations_pb2.Operation(name='operations/op') + client.evaluate_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'processor_version=processor_version_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_evaluate_processor_version_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.EvaluateProcessorVersionRequest() + + request.processor_version = 'processor_version_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.evaluate_processor_version), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) + await client.evaluate_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'processor_version=processor_version_value', + ) in kw['metadata'] + + +def test_evaluate_processor_version_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.evaluate_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.evaluate_processor_version( + processor_version='processor_version_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].processor_version + mock_val = 'processor_version_value' + assert arg == mock_val + + +def test_evaluate_processor_version_flattened_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.evaluate_processor_version( + document_processor_service.EvaluateProcessorVersionRequest(), + processor_version='processor_version_value', + ) + +@pytest.mark.asyncio +async def test_evaluate_processor_version_flattened_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.evaluate_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.evaluate_processor_version( + processor_version='processor_version_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].processor_version + mock_val = 'processor_version_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_evaluate_processor_version_flattened_error_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.evaluate_processor_version( + document_processor_service.EvaluateProcessorVersionRequest(), + processor_version='processor_version_value', + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.GetEvaluationRequest, + dict, +]) +def test_get_evaluation(request_type, transport: str = 'grpc'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_evaluation), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = evaluation.Evaluation( + name='name_value', + kms_key_name='kms_key_name_value', + kms_key_version_name='kms_key_version_name_value', + ) + response = client.get_evaluation(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.GetEvaluationRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, evaluation.Evaluation) + assert response.name == 'name_value' + assert response.kms_key_name == 'kms_key_name_value' + assert response.kms_key_version_name == 'kms_key_version_name_value' + + +def test_get_evaluation_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_evaluation), + '__call__') as call: + client.get_evaluation() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.GetEvaluationRequest() + +@pytest.mark.asyncio +async def test_get_evaluation_async(transport: str = 'grpc_asyncio', request_type=document_processor_service.GetEvaluationRequest): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_evaluation), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(evaluation.Evaluation( + name='name_value', + kms_key_name='kms_key_name_value', + kms_key_version_name='kms_key_version_name_value', + )) + response = await client.get_evaluation(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.GetEvaluationRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, evaluation.Evaluation) + assert response.name == 'name_value' + assert response.kms_key_name == 'kms_key_name_value' + assert response.kms_key_version_name == 'kms_key_version_name_value' + + +@pytest.mark.asyncio +async def test_get_evaluation_async_from_dict(): + await test_get_evaluation_async(request_type=dict) + + +def test_get_evaluation_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.GetEvaluationRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_evaluation), + '__call__') as call: + call.return_value = evaluation.Evaluation() + client.get_evaluation(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_get_evaluation_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.GetEvaluationRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_evaluation), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(evaluation.Evaluation()) + await client.get_evaluation(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +def test_get_evaluation_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_evaluation), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = evaluation.Evaluation() + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.get_evaluation( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + + +def test_get_evaluation_flattened_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.get_evaluation( + document_processor_service.GetEvaluationRequest(), + name='name_value', + ) + +@pytest.mark.asyncio +async def test_get_evaluation_flattened_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_evaluation), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = evaluation.Evaluation() + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(evaluation.Evaluation()) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.get_evaluation( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_get_evaluation_flattened_error_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.get_evaluation( + document_processor_service.GetEvaluationRequest(), + name='name_value', + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.ListEvaluationsRequest, + dict, +]) +def test_list_evaluations(request_type, transport: str = 'grpc'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_evaluations), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = document_processor_service.ListEvaluationsResponse( + next_page_token='next_page_token_value', + ) + response = client.list_evaluations(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.ListEvaluationsRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, pagers.ListEvaluationsPager) + assert response.next_page_token == 'next_page_token_value' + + +def test_list_evaluations_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_evaluations), + '__call__') as call: + client.list_evaluations() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.ListEvaluationsRequest() + +@pytest.mark.asyncio +async def test_list_evaluations_async(transport: str = 'grpc_asyncio', request_type=document_processor_service.ListEvaluationsRequest): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_evaluations), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(document_processor_service.ListEvaluationsResponse( + next_page_token='next_page_token_value', + )) + response = await client.list_evaluations(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.ListEvaluationsRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, pagers.ListEvaluationsAsyncPager) + assert response.next_page_token == 'next_page_token_value' + + +@pytest.mark.asyncio +async def test_list_evaluations_async_from_dict(): + await test_list_evaluations_async(request_type=dict) + + +def test_list_evaluations_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.ListEvaluationsRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_evaluations), + '__call__') as call: + call.return_value = document_processor_service.ListEvaluationsResponse() + client.list_evaluations(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_list_evaluations_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.ListEvaluationsRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_evaluations), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(document_processor_service.ListEvaluationsResponse()) + await client.list_evaluations(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +def test_list_evaluations_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_evaluations), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = document_processor_service.ListEvaluationsResponse() + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.list_evaluations( + parent='parent_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].parent + mock_val = 'parent_value' + assert arg == mock_val + + +def test_list_evaluations_flattened_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.list_evaluations( + document_processor_service.ListEvaluationsRequest(), + parent='parent_value', + ) + +@pytest.mark.asyncio +async def test_list_evaluations_flattened_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_evaluations), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = document_processor_service.ListEvaluationsResponse() + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(document_processor_service.ListEvaluationsResponse()) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.list_evaluations( + parent='parent_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].parent + mock_val = 'parent_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_list_evaluations_flattened_error_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.list_evaluations( + document_processor_service.ListEvaluationsRequest(), + parent='parent_value', + ) + + +def test_list_evaluations_pager(transport_name: str = "grpc"): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport_name, + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_evaluations), + '__call__') as call: + # Set the response to a series of pages. + call.side_effect = ( + document_processor_service.ListEvaluationsResponse( + evaluations=[ + evaluation.Evaluation(), + evaluation.Evaluation(), + evaluation.Evaluation(), + ], + next_page_token='abc', + ), + document_processor_service.ListEvaluationsResponse( + evaluations=[], + next_page_token='def', + ), + document_processor_service.ListEvaluationsResponse( + evaluations=[ + evaluation.Evaluation(), + ], + next_page_token='ghi', + ), + document_processor_service.ListEvaluationsResponse( + evaluations=[ + evaluation.Evaluation(), + evaluation.Evaluation(), + ], + ), + RuntimeError, + ) + + metadata = () + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ('parent', ''), + )), + ) + pager = client.list_evaluations(request={}) + + assert pager._metadata == metadata + + results = list(pager) + assert len(results) == 6 + assert all(isinstance(i, evaluation.Evaluation) + for i in results) +def test_list_evaluations_pages(transport_name: str = "grpc"): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport_name, + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_evaluations), + '__call__') as call: + # Set the response to a series of pages. + call.side_effect = ( + document_processor_service.ListEvaluationsResponse( + evaluations=[ + evaluation.Evaluation(), + evaluation.Evaluation(), + evaluation.Evaluation(), + ], + next_page_token='abc', + ), + document_processor_service.ListEvaluationsResponse( + evaluations=[], + next_page_token='def', + ), + document_processor_service.ListEvaluationsResponse( + evaluations=[ + evaluation.Evaluation(), + ], + next_page_token='ghi', + ), + document_processor_service.ListEvaluationsResponse( + evaluations=[ + evaluation.Evaluation(), + evaluation.Evaluation(), + ], + ), + RuntimeError, + ) + pages = list(client.list_evaluations(request={}).pages) + for page_, token in zip(pages, ['abc','def','ghi', '']): + assert page_.raw_page.next_page_token == token + +@pytest.mark.asyncio +async def test_list_evaluations_async_pager(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_evaluations), + '__call__', new_callable=mock.AsyncMock) as call: + # Set the response to a series of pages. + call.side_effect = ( + document_processor_service.ListEvaluationsResponse( + evaluations=[ + evaluation.Evaluation(), + evaluation.Evaluation(), + evaluation.Evaluation(), + ], + next_page_token='abc', + ), + document_processor_service.ListEvaluationsResponse( + evaluations=[], + next_page_token='def', + ), + document_processor_service.ListEvaluationsResponse( + evaluations=[ + evaluation.Evaluation(), + ], + next_page_token='ghi', + ), + document_processor_service.ListEvaluationsResponse( + evaluations=[ + evaluation.Evaluation(), + evaluation.Evaluation(), + ], + ), + RuntimeError, + ) + async_pager = await client.list_evaluations(request={},) + assert async_pager.next_page_token == 'abc' + responses = [] + async for response in async_pager: # pragma: no branch + responses.append(response) + + assert len(responses) == 6 + assert all(isinstance(i, evaluation.Evaluation) + for i in responses) + + +@pytest.mark.asyncio +async def test_list_evaluations_async_pages(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_evaluations), + '__call__', new_callable=mock.AsyncMock) as call: + # Set the response to a series of pages. + call.side_effect = ( + document_processor_service.ListEvaluationsResponse( + evaluations=[ + evaluation.Evaluation(), + evaluation.Evaluation(), + evaluation.Evaluation(), + ], + next_page_token='abc', + ), + document_processor_service.ListEvaluationsResponse( + evaluations=[], + next_page_token='def', + ), + document_processor_service.ListEvaluationsResponse( + evaluations=[ + evaluation.Evaluation(), + ], + next_page_token='ghi', + ), + document_processor_service.ListEvaluationsResponse( + evaluations=[ + evaluation.Evaluation(), + evaluation.Evaluation(), + ], + ), + RuntimeError, + ) + pages = [] + # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch` + # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372 + async for page_ in ( # pragma: no branch + await client.list_evaluations(request={}) + ).pages: + pages.append(page_) + for page_, token in zip(pages, ['abc','def','ghi', '']): + assert page_.raw_page.next_page_token == token + +@pytest.mark.parametrize("request_type", [ + document_processor_service.ImportProcessorVersionRequest, + dict, +]) +def test_import_processor_version(request_type, transport: str = 'grpc'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.import_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/spam') + response = client.import_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.ImportProcessorVersionRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +def test_import_processor_version_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.import_processor_version), + '__call__') as call: + client.import_processor_version() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.ImportProcessorVersionRequest() + +@pytest.mark.asyncio +async def test_import_processor_version_async(transport: str = 'grpc_asyncio', request_type=document_processor_service.ImportProcessorVersionRequest): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.import_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + response = await client.import_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_processor_service.ImportProcessorVersionRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +@pytest.mark.asyncio +async def test_import_processor_version_async_from_dict(): + await test_import_processor_version_async(request_type=dict) + + +def test_import_processor_version_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.ImportProcessorVersionRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.import_processor_version), + '__call__') as call: + call.return_value = operations_pb2.Operation(name='operations/op') + client.import_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_import_processor_version_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_processor_service.ImportProcessorVersionRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.import_processor_version), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) + await client.import_processor_version(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +def test_import_processor_version_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.import_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.import_processor_version( + parent='parent_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].parent + mock_val = 'parent_value' + assert arg == mock_val + + +def test_import_processor_version_flattened_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.import_processor_version( + document_processor_service.ImportProcessorVersionRequest(), + parent='parent_value', + ) + +@pytest.mark.asyncio +async def test_import_processor_version_flattened_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.import_processor_version), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.import_processor_version( + parent='parent_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].parent + mock_val = 'parent_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_import_processor_version_flattened_error_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.import_processor_version( + document_processor_service.ImportProcessorVersionRequest(), + parent='parent_value', + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.ProcessRequest, + dict, +]) +def test_process_document_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processors/sample3'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = document_processor_service.ProcessResponse( + human_review_operation='human_review_operation_value', + ) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = document_processor_service.ProcessResponse.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.process_document(request) + + # Establish that the response is the type that we expect. + assert isinstance(response, document_processor_service.ProcessResponse) + assert response.human_review_operation == 'human_review_operation_value' + + +def test_process_document_rest_required_fields(request_type=document_processor_service.ProcessRequest): + transport_class = transports.DocumentProcessorServiceRestTransport + + request_init = {} + request_init["name"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).process_document._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["name"] = 'name_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).process_document._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "name" in jsonified_request + assert jsonified_request["name"] == 'name_value' + + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = document_processor_service.ProcessResponse() + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "post", + 'query_params': pb_request, + } + transcode_result['body'] = pb_request + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + + # Convert return value to protobuf type + return_value = document_processor_service.ProcessResponse.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.process_document(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_process_document_rest_unset_required_fields(): + transport = transports.DocumentProcessorServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.process_document._get_unset_required_fields({}) + assert set(unset_fields) == (set(()) & set(("name", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_process_document_rest_interceptors(null_interceptor): + transport = transports.DocumentProcessorServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentProcessorServiceRestInterceptor(), + ) + client = DocumentProcessorServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "post_process_document") as post, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "pre_process_document") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_processor_service.ProcessRequest.pb(document_processor_service.ProcessRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = document_processor_service.ProcessResponse.to_json(document_processor_service.ProcessResponse()) + + request = document_processor_service.ProcessRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = document_processor_service.ProcessResponse() + + client.process_document(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_process_document_rest_bad_request(transport: str = 'rest', request_type=document_processor_service.ProcessRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processors/sample3'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.process_document(request) + + +def test_process_document_rest_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = document_processor_service.ProcessResponse() + + # get arguments that satisfy an http rule for this method + sample_request = {'name': 'projects/sample1/locations/sample2/processors/sample3'} + + # get truthy value for each flattened field + mock_args = dict( + name='name_value', + ) + mock_args.update(sample_request) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = document_processor_service.ProcessResponse.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + client.process_document(**mock_args) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(req.mock_calls) == 1 + _, args, _ = req.mock_calls[0] + assert path_template.validate("%s/v1beta3/{name=projects/*/locations/*/processors/*}:process" % client.transport._host, args[1]) + + +def test_process_document_rest_flattened_error(transport: str = 'rest'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.process_document( + document_processor_service.ProcessRequest(), + name='name_value', + ) + + +def test_process_document_rest_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest' + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.BatchProcessRequest, + dict, +]) +def test_batch_process_documents_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processors/sample3'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.batch_process_documents(request) + + # Establish that the response is the type that we expect. + assert response.operation.name == "operations/spam" + + +def test_batch_process_documents_rest_required_fields(request_type=document_processor_service.BatchProcessRequest): + transport_class = transports.DocumentProcessorServiceRestTransport + + request_init = {} + request_init["name"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).batch_process_documents._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["name"] = 'name_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).batch_process_documents._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "name" in jsonified_request + assert jsonified_request["name"] == 'name_value' + + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "post", + 'query_params': pb_request, + } + transcode_result['body'] = pb_request + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.batch_process_documents(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_batch_process_documents_rest_unset_required_fields(): + transport = transports.DocumentProcessorServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.batch_process_documents._get_unset_required_fields({}) + assert set(unset_fields) == (set(()) & set(("name", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_batch_process_documents_rest_interceptors(null_interceptor): + transport = transports.DocumentProcessorServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentProcessorServiceRestInterceptor(), + ) + client = DocumentProcessorServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(operation.Operation, "_set_result_from_operation"), \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "post_batch_process_documents") as post, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "pre_batch_process_documents") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_processor_service.BatchProcessRequest.pb(document_processor_service.BatchProcessRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = json_format.MessageToJson(operations_pb2.Operation()) + + request = document_processor_service.BatchProcessRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = operations_pb2.Operation() + + client.batch_process_documents(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_batch_process_documents_rest_bad_request(transport: str = 'rest', request_type=document_processor_service.BatchProcessRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processors/sample3'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.batch_process_documents(request) + + +def test_batch_process_documents_rest_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + + # get arguments that satisfy an http rule for this method + sample_request = {'name': 'projects/sample1/locations/sample2/processors/sample3'} + + # get truthy value for each flattened field + mock_args = dict( + name='name_value', + ) + mock_args.update(sample_request) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + client.batch_process_documents(**mock_args) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(req.mock_calls) == 1 + _, args, _ = req.mock_calls[0] + assert path_template.validate("%s/v1beta3/{name=projects/*/locations/*/processors/*}:batchProcess" % client.transport._host, args[1]) + + +def test_batch_process_documents_rest_flattened_error(transport: str = 'rest'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.batch_process_documents( + document_processor_service.BatchProcessRequest(), + name='name_value', + ) + + +def test_batch_process_documents_rest_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest' + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.FetchProcessorTypesRequest, + dict, +]) +def test_fetch_processor_types_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'parent': 'projects/sample1/locations/sample2'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = document_processor_service.FetchProcessorTypesResponse( + ) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = document_processor_service.FetchProcessorTypesResponse.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.fetch_processor_types(request) + + # Establish that the response is the type that we expect. + assert isinstance(response, document_processor_service.FetchProcessorTypesResponse) + + +def test_fetch_processor_types_rest_required_fields(request_type=document_processor_service.FetchProcessorTypesRequest): + transport_class = transports.DocumentProcessorServiceRestTransport + + request_init = {} + request_init["parent"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).fetch_processor_types._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["parent"] = 'parent_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).fetch_processor_types._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "parent" in jsonified_request + assert jsonified_request["parent"] == 'parent_value' + + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = document_processor_service.FetchProcessorTypesResponse() + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "get", + 'query_params': pb_request, + } + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + + # Convert return value to protobuf type + return_value = document_processor_service.FetchProcessorTypesResponse.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.fetch_processor_types(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_fetch_processor_types_rest_unset_required_fields(): + transport = transports.DocumentProcessorServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.fetch_processor_types._get_unset_required_fields({}) + assert set(unset_fields) == (set(()) & set(("parent", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_fetch_processor_types_rest_interceptors(null_interceptor): + transport = transports.DocumentProcessorServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentProcessorServiceRestInterceptor(), + ) + client = DocumentProcessorServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "post_fetch_processor_types") as post, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "pre_fetch_processor_types") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_processor_service.FetchProcessorTypesRequest.pb(document_processor_service.FetchProcessorTypesRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = document_processor_service.FetchProcessorTypesResponse.to_json(document_processor_service.FetchProcessorTypesResponse()) + + request = document_processor_service.FetchProcessorTypesRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = document_processor_service.FetchProcessorTypesResponse() + + client.fetch_processor_types(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_fetch_processor_types_rest_bad_request(transport: str = 'rest', request_type=document_processor_service.FetchProcessorTypesRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'parent': 'projects/sample1/locations/sample2'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.fetch_processor_types(request) + + +def test_fetch_processor_types_rest_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = document_processor_service.FetchProcessorTypesResponse() + + # get arguments that satisfy an http rule for this method + sample_request = {'parent': 'projects/sample1/locations/sample2'} + + # get truthy value for each flattened field + mock_args = dict( + parent='parent_value', + ) + mock_args.update(sample_request) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = document_processor_service.FetchProcessorTypesResponse.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + client.fetch_processor_types(**mock_args) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(req.mock_calls) == 1 + _, args, _ = req.mock_calls[0] + assert path_template.validate("%s/v1beta3/{parent=projects/*/locations/*}:fetchProcessorTypes" % client.transport._host, args[1]) + + +def test_fetch_processor_types_rest_flattened_error(transport: str = 'rest'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.fetch_processor_types( + document_processor_service.FetchProcessorTypesRequest(), + parent='parent_value', + ) + + +def test_fetch_processor_types_rest_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest' + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.ListProcessorTypesRequest, + dict, +]) +def test_list_processor_types_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'parent': 'projects/sample1/locations/sample2'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = document_processor_service.ListProcessorTypesResponse( + next_page_token='next_page_token_value', + ) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = document_processor_service.ListProcessorTypesResponse.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.list_processor_types(request) + + # Establish that the response is the type that we expect. + assert isinstance(response, pagers.ListProcessorTypesPager) + assert response.next_page_token == 'next_page_token_value' + + +def test_list_processor_types_rest_required_fields(request_type=document_processor_service.ListProcessorTypesRequest): + transport_class = transports.DocumentProcessorServiceRestTransport + + request_init = {} + request_init["parent"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).list_processor_types._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["parent"] = 'parent_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).list_processor_types._get_unset_required_fields(jsonified_request) + # Check that path parameters and body parameters are not mixing in. + assert not set(unset_fields) - set(("page_size", "page_token", )) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "parent" in jsonified_request + assert jsonified_request["parent"] == 'parent_value' + + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = document_processor_service.ListProcessorTypesResponse() + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "get", + 'query_params': pb_request, + } + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + + # Convert return value to protobuf type + return_value = document_processor_service.ListProcessorTypesResponse.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.list_processor_types(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_list_processor_types_rest_unset_required_fields(): + transport = transports.DocumentProcessorServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.list_processor_types._get_unset_required_fields({}) + assert set(unset_fields) == (set(("pageSize", "pageToken", )) & set(("parent", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_list_processor_types_rest_interceptors(null_interceptor): + transport = transports.DocumentProcessorServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentProcessorServiceRestInterceptor(), + ) + client = DocumentProcessorServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "post_list_processor_types") as post, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "pre_list_processor_types") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_processor_service.ListProcessorTypesRequest.pb(document_processor_service.ListProcessorTypesRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = document_processor_service.ListProcessorTypesResponse.to_json(document_processor_service.ListProcessorTypesResponse()) + + request = document_processor_service.ListProcessorTypesRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = document_processor_service.ListProcessorTypesResponse() + + client.list_processor_types(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_list_processor_types_rest_bad_request(transport: str = 'rest', request_type=document_processor_service.ListProcessorTypesRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'parent': 'projects/sample1/locations/sample2'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.list_processor_types(request) + + +def test_list_processor_types_rest_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = document_processor_service.ListProcessorTypesResponse() + + # get arguments that satisfy an http rule for this method + sample_request = {'parent': 'projects/sample1/locations/sample2'} + + # get truthy value for each flattened field + mock_args = dict( + parent='parent_value', + ) + mock_args.update(sample_request) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = document_processor_service.ListProcessorTypesResponse.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + client.list_processor_types(**mock_args) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(req.mock_calls) == 1 + _, args, _ = req.mock_calls[0] + assert path_template.validate("%s/v1beta3/{parent=projects/*/locations/*}/processorTypes" % client.transport._host, args[1]) + + +def test_list_processor_types_rest_flattened_error(transport: str = 'rest'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.list_processor_types( + document_processor_service.ListProcessorTypesRequest(), + parent='parent_value', + ) + + +def test_list_processor_types_rest_pager(transport: str = 'rest'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # TODO(kbandes): remove this mock unless there's a good reason for it. + #with mock.patch.object(path_template, 'transcode') as transcode: + # Set the response as a series of pages + response = ( + document_processor_service.ListProcessorTypesResponse( + processor_types=[ + processor_type.ProcessorType(), + processor_type.ProcessorType(), + processor_type.ProcessorType(), + ], + next_page_token='abc', + ), + document_processor_service.ListProcessorTypesResponse( + processor_types=[], + next_page_token='def', + ), + document_processor_service.ListProcessorTypesResponse( + processor_types=[ + processor_type.ProcessorType(), + ], + next_page_token='ghi', + ), + document_processor_service.ListProcessorTypesResponse( + processor_types=[ + processor_type.ProcessorType(), + processor_type.ProcessorType(), + ], + ), + ) + # Two responses for two calls + response = response + response + + # Wrap the values into proper Response objs + response = tuple(document_processor_service.ListProcessorTypesResponse.to_json(x) for x in response) + return_values = tuple(Response() for i in response) + for return_val, response_val in zip(return_values, response): + return_val._content = response_val.encode('UTF-8') + return_val.status_code = 200 + req.side_effect = return_values + + sample_request = {'parent': 'projects/sample1/locations/sample2'} + + pager = client.list_processor_types(request=sample_request) + + results = list(pager) + assert len(results) == 6 + assert all(isinstance(i, processor_type.ProcessorType) + for i in results) + + pages = list(client.list_processor_types(request=sample_request).pages) + for page_, token in zip(pages, ['abc','def','ghi', '']): + assert page_.raw_page.next_page_token == token + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.GetProcessorTypeRequest, + dict, +]) +def test_get_processor_type_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processorTypes/sample3'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = processor_type.ProcessorType( + name='name_value', + type_='type__value', + category='category_value', + allow_creation=True, + launch_stage=launch_stage_pb2.LaunchStage.UNIMPLEMENTED, + sample_document_uris=['sample_document_uris_value'], + ) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = processor_type.ProcessorType.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.get_processor_type(request) + + # Establish that the response is the type that we expect. + assert isinstance(response, processor_type.ProcessorType) + assert response.name == 'name_value' + assert response.type_ == 'type__value' + assert response.category == 'category_value' + assert response.allow_creation is True + assert response.launch_stage == launch_stage_pb2.LaunchStage.UNIMPLEMENTED + assert response.sample_document_uris == ['sample_document_uris_value'] + + +def test_get_processor_type_rest_required_fields(request_type=document_processor_service.GetProcessorTypeRequest): + transport_class = transports.DocumentProcessorServiceRestTransport + + request_init = {} + request_init["name"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).get_processor_type._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["name"] = 'name_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).get_processor_type._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "name" in jsonified_request + assert jsonified_request["name"] == 'name_value' + + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = processor_type.ProcessorType() + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "get", + 'query_params': pb_request, + } + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + + # Convert return value to protobuf type + return_value = processor_type.ProcessorType.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.get_processor_type(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_get_processor_type_rest_unset_required_fields(): + transport = transports.DocumentProcessorServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.get_processor_type._get_unset_required_fields({}) + assert set(unset_fields) == (set(()) & set(("name", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_get_processor_type_rest_interceptors(null_interceptor): + transport = transports.DocumentProcessorServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentProcessorServiceRestInterceptor(), + ) + client = DocumentProcessorServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "post_get_processor_type") as post, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "pre_get_processor_type") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_processor_service.GetProcessorTypeRequest.pb(document_processor_service.GetProcessorTypeRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = processor_type.ProcessorType.to_json(processor_type.ProcessorType()) + + request = document_processor_service.GetProcessorTypeRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = processor_type.ProcessorType() + + client.get_processor_type(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_get_processor_type_rest_bad_request(transport: str = 'rest', request_type=document_processor_service.GetProcessorTypeRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processorTypes/sample3'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.get_processor_type(request) + + +def test_get_processor_type_rest_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = processor_type.ProcessorType() + + # get arguments that satisfy an http rule for this method + sample_request = {'name': 'projects/sample1/locations/sample2/processorTypes/sample3'} + + # get truthy value for each flattened field + mock_args = dict( + name='name_value', + ) + mock_args.update(sample_request) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = processor_type.ProcessorType.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + client.get_processor_type(**mock_args) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(req.mock_calls) == 1 + _, args, _ = req.mock_calls[0] + assert path_template.validate("%s/v1beta3/{name=projects/*/locations/*/processorTypes/*}" % client.transport._host, args[1]) + + +def test_get_processor_type_rest_flattened_error(transport: str = 'rest'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.get_processor_type( + document_processor_service.GetProcessorTypeRequest(), + name='name_value', + ) + + +def test_get_processor_type_rest_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest' + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.ListProcessorsRequest, + dict, +]) +def test_list_processors_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'parent': 'projects/sample1/locations/sample2'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = document_processor_service.ListProcessorsResponse( + next_page_token='next_page_token_value', + ) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = document_processor_service.ListProcessorsResponse.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.list_processors(request) + + # Establish that the response is the type that we expect. + assert isinstance(response, pagers.ListProcessorsPager) + assert response.next_page_token == 'next_page_token_value' + + +def test_list_processors_rest_required_fields(request_type=document_processor_service.ListProcessorsRequest): + transport_class = transports.DocumentProcessorServiceRestTransport + + request_init = {} + request_init["parent"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).list_processors._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["parent"] = 'parent_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).list_processors._get_unset_required_fields(jsonified_request) + # Check that path parameters and body parameters are not mixing in. + assert not set(unset_fields) - set(("page_size", "page_token", )) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "parent" in jsonified_request + assert jsonified_request["parent"] == 'parent_value' + + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = document_processor_service.ListProcessorsResponse() + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "get", + 'query_params': pb_request, + } + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + + # Convert return value to protobuf type + return_value = document_processor_service.ListProcessorsResponse.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.list_processors(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_list_processors_rest_unset_required_fields(): + transport = transports.DocumentProcessorServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.list_processors._get_unset_required_fields({}) + assert set(unset_fields) == (set(("pageSize", "pageToken", )) & set(("parent", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_list_processors_rest_interceptors(null_interceptor): + transport = transports.DocumentProcessorServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentProcessorServiceRestInterceptor(), + ) + client = DocumentProcessorServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "post_list_processors") as post, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "pre_list_processors") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_processor_service.ListProcessorsRequest.pb(document_processor_service.ListProcessorsRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = document_processor_service.ListProcessorsResponse.to_json(document_processor_service.ListProcessorsResponse()) + + request = document_processor_service.ListProcessorsRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = document_processor_service.ListProcessorsResponse() + + client.list_processors(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_list_processors_rest_bad_request(transport: str = 'rest', request_type=document_processor_service.ListProcessorsRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'parent': 'projects/sample1/locations/sample2'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.list_processors(request) + + +def test_list_processors_rest_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = document_processor_service.ListProcessorsResponse() + + # get arguments that satisfy an http rule for this method + sample_request = {'parent': 'projects/sample1/locations/sample2'} + + # get truthy value for each flattened field + mock_args = dict( + parent='parent_value', + ) + mock_args.update(sample_request) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = document_processor_service.ListProcessorsResponse.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + client.list_processors(**mock_args) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(req.mock_calls) == 1 + _, args, _ = req.mock_calls[0] + assert path_template.validate("%s/v1beta3/{parent=projects/*/locations/*}/processors" % client.transport._host, args[1]) + + +def test_list_processors_rest_flattened_error(transport: str = 'rest'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.list_processors( + document_processor_service.ListProcessorsRequest(), + parent='parent_value', + ) + + +def test_list_processors_rest_pager(transport: str = 'rest'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # TODO(kbandes): remove this mock unless there's a good reason for it. + #with mock.patch.object(path_template, 'transcode') as transcode: + # Set the response as a series of pages + response = ( + document_processor_service.ListProcessorsResponse( + processors=[ + processor.Processor(), + processor.Processor(), + processor.Processor(), + ], + next_page_token='abc', + ), + document_processor_service.ListProcessorsResponse( + processors=[], + next_page_token='def', + ), + document_processor_service.ListProcessorsResponse( + processors=[ + processor.Processor(), + ], + next_page_token='ghi', + ), + document_processor_service.ListProcessorsResponse( + processors=[ + processor.Processor(), + processor.Processor(), + ], + ), + ) + # Two responses for two calls + response = response + response + + # Wrap the values into proper Response objs + response = tuple(document_processor_service.ListProcessorsResponse.to_json(x) for x in response) + return_values = tuple(Response() for i in response) + for return_val, response_val in zip(return_values, response): + return_val._content = response_val.encode('UTF-8') + return_val.status_code = 200 + req.side_effect = return_values + + sample_request = {'parent': 'projects/sample1/locations/sample2'} + + pager = client.list_processors(request=sample_request) + + results = list(pager) + assert len(results) == 6 + assert all(isinstance(i, processor.Processor) + for i in results) + + pages = list(client.list_processors(request=sample_request).pages) + for page_, token in zip(pages, ['abc','def','ghi', '']): + assert page_.raw_page.next_page_token == token + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.GetProcessorRequest, + dict, +]) +def test_get_processor_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processors/sample3'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = processor.Processor( + name='name_value', + type_='type__value', + display_name='display_name_value', + state=processor.Processor.State.ENABLED, + default_processor_version='default_processor_version_value', + process_endpoint='process_endpoint_value', + kms_key_name='kms_key_name_value', + ) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = processor.Processor.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.get_processor(request) + + # Establish that the response is the type that we expect. + assert isinstance(response, processor.Processor) + assert response.name == 'name_value' + assert response.type_ == 'type__value' + assert response.display_name == 'display_name_value' + assert response.state == processor.Processor.State.ENABLED + assert response.default_processor_version == 'default_processor_version_value' + assert response.process_endpoint == 'process_endpoint_value' + assert response.kms_key_name == 'kms_key_name_value' + + +def test_get_processor_rest_required_fields(request_type=document_processor_service.GetProcessorRequest): + transport_class = transports.DocumentProcessorServiceRestTransport + + request_init = {} + request_init["name"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).get_processor._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["name"] = 'name_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).get_processor._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "name" in jsonified_request + assert jsonified_request["name"] == 'name_value' + + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = processor.Processor() + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "get", + 'query_params': pb_request, + } + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + + # Convert return value to protobuf type + return_value = processor.Processor.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.get_processor(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_get_processor_rest_unset_required_fields(): + transport = transports.DocumentProcessorServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.get_processor._get_unset_required_fields({}) + assert set(unset_fields) == (set(()) & set(("name", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_get_processor_rest_interceptors(null_interceptor): + transport = transports.DocumentProcessorServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentProcessorServiceRestInterceptor(), + ) + client = DocumentProcessorServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "post_get_processor") as post, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "pre_get_processor") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_processor_service.GetProcessorRequest.pb(document_processor_service.GetProcessorRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = processor.Processor.to_json(processor.Processor()) + + request = document_processor_service.GetProcessorRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = processor.Processor() + + client.get_processor(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_get_processor_rest_bad_request(transport: str = 'rest', request_type=document_processor_service.GetProcessorRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processors/sample3'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.get_processor(request) + + +def test_get_processor_rest_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = processor.Processor() + + # get arguments that satisfy an http rule for this method + sample_request = {'name': 'projects/sample1/locations/sample2/processors/sample3'} + + # get truthy value for each flattened field + mock_args = dict( + name='name_value', + ) + mock_args.update(sample_request) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = processor.Processor.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + client.get_processor(**mock_args) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(req.mock_calls) == 1 + _, args, _ = req.mock_calls[0] + assert path_template.validate("%s/v1beta3/{name=projects/*/locations/*/processors/*}" % client.transport._host, args[1]) + + +def test_get_processor_rest_flattened_error(transport: str = 'rest'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.get_processor( + document_processor_service.GetProcessorRequest(), + name='name_value', + ) + + +def test_get_processor_rest_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest' + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.TrainProcessorVersionRequest, + dict, +]) +def test_train_processor_version_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'parent': 'projects/sample1/locations/sample2/processors/sample3'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.train_processor_version(request) + + # Establish that the response is the type that we expect. + assert response.operation.name == "operations/spam" + + +def test_train_processor_version_rest_required_fields(request_type=document_processor_service.TrainProcessorVersionRequest): + transport_class = transports.DocumentProcessorServiceRestTransport + + request_init = {} + request_init["parent"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).train_processor_version._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["parent"] = 'parent_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).train_processor_version._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "parent" in jsonified_request + assert jsonified_request["parent"] == 'parent_value' + + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "post", + 'query_params': pb_request, + } + transcode_result['body'] = pb_request + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.train_processor_version(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_train_processor_version_rest_unset_required_fields(): + transport = transports.DocumentProcessorServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.train_processor_version._get_unset_required_fields({}) + assert set(unset_fields) == (set(()) & set(("parent", "processorVersion", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_train_processor_version_rest_interceptors(null_interceptor): + transport = transports.DocumentProcessorServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentProcessorServiceRestInterceptor(), + ) + client = DocumentProcessorServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(operation.Operation, "_set_result_from_operation"), \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "post_train_processor_version") as post, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "pre_train_processor_version") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_processor_service.TrainProcessorVersionRequest.pb(document_processor_service.TrainProcessorVersionRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = json_format.MessageToJson(operations_pb2.Operation()) + + request = document_processor_service.TrainProcessorVersionRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = operations_pb2.Operation() + + client.train_processor_version(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_train_processor_version_rest_bad_request(transport: str = 'rest', request_type=document_processor_service.TrainProcessorVersionRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'parent': 'projects/sample1/locations/sample2/processors/sample3'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.train_processor_version(request) + + +def test_train_processor_version_rest_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + + # get arguments that satisfy an http rule for this method + sample_request = {'parent': 'projects/sample1/locations/sample2/processors/sample3'} + + # get truthy value for each flattened field + mock_args = dict( + parent='parent_value', + processor_version=processor.ProcessorVersion(name='name_value'), + ) + mock_args.update(sample_request) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + client.train_processor_version(**mock_args) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(req.mock_calls) == 1 + _, args, _ = req.mock_calls[0] + assert path_template.validate("%s/v1beta3/{parent=projects/*/locations/*/processors/*}/processorVersions:train" % client.transport._host, args[1]) + + +def test_train_processor_version_rest_flattened_error(transport: str = 'rest'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.train_processor_version( + document_processor_service.TrainProcessorVersionRequest(), + parent='parent_value', + processor_version=processor.ProcessorVersion(name='name_value'), + ) + + +def test_train_processor_version_rest_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest' + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.GetProcessorVersionRequest, + dict, +]) +def test_get_processor_version_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processors/sample3/processorVersions/sample4'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = processor.ProcessorVersion( + name='name_value', + display_name='display_name_value', + state=processor.ProcessorVersion.State.DEPLOYED, + kms_key_name='kms_key_name_value', + kms_key_version_name='kms_key_version_name_value', + google_managed=True, + model_type=processor.ProcessorVersion.ModelType.MODEL_TYPE_GENERATIVE, + ) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = processor.ProcessorVersion.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.get_processor_version(request) + + # Establish that the response is the type that we expect. + assert isinstance(response, processor.ProcessorVersion) + assert response.name == 'name_value' + assert response.display_name == 'display_name_value' + assert response.state == processor.ProcessorVersion.State.DEPLOYED + assert response.kms_key_name == 'kms_key_name_value' + assert response.kms_key_version_name == 'kms_key_version_name_value' + assert response.google_managed is True + assert response.model_type == processor.ProcessorVersion.ModelType.MODEL_TYPE_GENERATIVE + + +def test_get_processor_version_rest_required_fields(request_type=document_processor_service.GetProcessorVersionRequest): + transport_class = transports.DocumentProcessorServiceRestTransport + + request_init = {} + request_init["name"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).get_processor_version._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["name"] = 'name_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).get_processor_version._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "name" in jsonified_request + assert jsonified_request["name"] == 'name_value' + + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = processor.ProcessorVersion() + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "get", + 'query_params': pb_request, + } + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + + # Convert return value to protobuf type + return_value = processor.ProcessorVersion.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.get_processor_version(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_get_processor_version_rest_unset_required_fields(): + transport = transports.DocumentProcessorServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.get_processor_version._get_unset_required_fields({}) + assert set(unset_fields) == (set(()) & set(("name", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_get_processor_version_rest_interceptors(null_interceptor): + transport = transports.DocumentProcessorServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentProcessorServiceRestInterceptor(), + ) + client = DocumentProcessorServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "post_get_processor_version") as post, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "pre_get_processor_version") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_processor_service.GetProcessorVersionRequest.pb(document_processor_service.GetProcessorVersionRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = processor.ProcessorVersion.to_json(processor.ProcessorVersion()) + + request = document_processor_service.GetProcessorVersionRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = processor.ProcessorVersion() + + client.get_processor_version(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_get_processor_version_rest_bad_request(transport: str = 'rest', request_type=document_processor_service.GetProcessorVersionRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processors/sample3/processorVersions/sample4'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.get_processor_version(request) + + +def test_get_processor_version_rest_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = processor.ProcessorVersion() + + # get arguments that satisfy an http rule for this method + sample_request = {'name': 'projects/sample1/locations/sample2/processors/sample3/processorVersions/sample4'} + + # get truthy value for each flattened field + mock_args = dict( + name='name_value', + ) + mock_args.update(sample_request) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = processor.ProcessorVersion.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + client.get_processor_version(**mock_args) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(req.mock_calls) == 1 + _, args, _ = req.mock_calls[0] + assert path_template.validate("%s/v1beta3/{name=projects/*/locations/*/processors/*/processorVersions/*}" % client.transport._host, args[1]) + + +def test_get_processor_version_rest_flattened_error(transport: str = 'rest'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.get_processor_version( + document_processor_service.GetProcessorVersionRequest(), + name='name_value', + ) + + +def test_get_processor_version_rest_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest' + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.ListProcessorVersionsRequest, + dict, +]) +def test_list_processor_versions_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'parent': 'projects/sample1/locations/sample2/processors/sample3'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = document_processor_service.ListProcessorVersionsResponse( + next_page_token='next_page_token_value', + ) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = document_processor_service.ListProcessorVersionsResponse.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.list_processor_versions(request) + + # Establish that the response is the type that we expect. + assert isinstance(response, pagers.ListProcessorVersionsPager) + assert response.next_page_token == 'next_page_token_value' + + +def test_list_processor_versions_rest_required_fields(request_type=document_processor_service.ListProcessorVersionsRequest): + transport_class = transports.DocumentProcessorServiceRestTransport + + request_init = {} + request_init["parent"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).list_processor_versions._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["parent"] = 'parent_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).list_processor_versions._get_unset_required_fields(jsonified_request) + # Check that path parameters and body parameters are not mixing in. + assert not set(unset_fields) - set(("page_size", "page_token", )) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "parent" in jsonified_request + assert jsonified_request["parent"] == 'parent_value' + + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = document_processor_service.ListProcessorVersionsResponse() + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "get", + 'query_params': pb_request, + } + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + + # Convert return value to protobuf type + return_value = document_processor_service.ListProcessorVersionsResponse.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.list_processor_versions(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_list_processor_versions_rest_unset_required_fields(): + transport = transports.DocumentProcessorServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.list_processor_versions._get_unset_required_fields({}) + assert set(unset_fields) == (set(("pageSize", "pageToken", )) & set(("parent", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_list_processor_versions_rest_interceptors(null_interceptor): + transport = transports.DocumentProcessorServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentProcessorServiceRestInterceptor(), + ) + client = DocumentProcessorServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "post_list_processor_versions") as post, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "pre_list_processor_versions") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_processor_service.ListProcessorVersionsRequest.pb(document_processor_service.ListProcessorVersionsRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = document_processor_service.ListProcessorVersionsResponse.to_json(document_processor_service.ListProcessorVersionsResponse()) + + request = document_processor_service.ListProcessorVersionsRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = document_processor_service.ListProcessorVersionsResponse() + + client.list_processor_versions(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_list_processor_versions_rest_bad_request(transport: str = 'rest', request_type=document_processor_service.ListProcessorVersionsRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'parent': 'projects/sample1/locations/sample2/processors/sample3'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.list_processor_versions(request) + + +def test_list_processor_versions_rest_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = document_processor_service.ListProcessorVersionsResponse() + + # get arguments that satisfy an http rule for this method + sample_request = {'parent': 'projects/sample1/locations/sample2/processors/sample3'} + + # get truthy value for each flattened field + mock_args = dict( + parent='parent_value', + ) + mock_args.update(sample_request) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = document_processor_service.ListProcessorVersionsResponse.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + client.list_processor_versions(**mock_args) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(req.mock_calls) == 1 + _, args, _ = req.mock_calls[0] + assert path_template.validate("%s/v1beta3/{parent=projects/*/locations/*/processors/*}/processorVersions" % client.transport._host, args[1]) + + +def test_list_processor_versions_rest_flattened_error(transport: str = 'rest'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.list_processor_versions( + document_processor_service.ListProcessorVersionsRequest(), + parent='parent_value', + ) + + +def test_list_processor_versions_rest_pager(transport: str = 'rest'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # TODO(kbandes): remove this mock unless there's a good reason for it. + #with mock.patch.object(path_template, 'transcode') as transcode: + # Set the response as a series of pages + response = ( + document_processor_service.ListProcessorVersionsResponse( + processor_versions=[ + processor.ProcessorVersion(), + processor.ProcessorVersion(), + processor.ProcessorVersion(), + ], + next_page_token='abc', + ), + document_processor_service.ListProcessorVersionsResponse( + processor_versions=[], + next_page_token='def', + ), + document_processor_service.ListProcessorVersionsResponse( + processor_versions=[ + processor.ProcessorVersion(), + ], + next_page_token='ghi', + ), + document_processor_service.ListProcessorVersionsResponse( + processor_versions=[ + processor.ProcessorVersion(), + processor.ProcessorVersion(), + ], + ), + ) + # Two responses for two calls + response = response + response + + # Wrap the values into proper Response objs + response = tuple(document_processor_service.ListProcessorVersionsResponse.to_json(x) for x in response) + return_values = tuple(Response() for i in response) + for return_val, response_val in zip(return_values, response): + return_val._content = response_val.encode('UTF-8') + return_val.status_code = 200 + req.side_effect = return_values + + sample_request = {'parent': 'projects/sample1/locations/sample2/processors/sample3'} + + pager = client.list_processor_versions(request=sample_request) + + results = list(pager) + assert len(results) == 6 + assert all(isinstance(i, processor.ProcessorVersion) + for i in results) + + pages = list(client.list_processor_versions(request=sample_request).pages) + for page_, token in zip(pages, ['abc','def','ghi', '']): + assert page_.raw_page.next_page_token == token + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.DeleteProcessorVersionRequest, + dict, +]) +def test_delete_processor_version_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processors/sample3/processorVersions/sample4'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.delete_processor_version(request) + + # Establish that the response is the type that we expect. + assert response.operation.name == "operations/spam" + + +def test_delete_processor_version_rest_required_fields(request_type=document_processor_service.DeleteProcessorVersionRequest): + transport_class = transports.DocumentProcessorServiceRestTransport + + request_init = {} + request_init["name"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).delete_processor_version._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["name"] = 'name_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).delete_processor_version._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "name" in jsonified_request + assert jsonified_request["name"] == 'name_value' + + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "delete", + 'query_params': pb_request, + } + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.delete_processor_version(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_delete_processor_version_rest_unset_required_fields(): + transport = transports.DocumentProcessorServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.delete_processor_version._get_unset_required_fields({}) + assert set(unset_fields) == (set(()) & set(("name", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_delete_processor_version_rest_interceptors(null_interceptor): + transport = transports.DocumentProcessorServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentProcessorServiceRestInterceptor(), + ) + client = DocumentProcessorServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(operation.Operation, "_set_result_from_operation"), \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "post_delete_processor_version") as post, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "pre_delete_processor_version") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_processor_service.DeleteProcessorVersionRequest.pb(document_processor_service.DeleteProcessorVersionRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = json_format.MessageToJson(operations_pb2.Operation()) + + request = document_processor_service.DeleteProcessorVersionRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = operations_pb2.Operation() + + client.delete_processor_version(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_delete_processor_version_rest_bad_request(transport: str = 'rest', request_type=document_processor_service.DeleteProcessorVersionRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processors/sample3/processorVersions/sample4'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.delete_processor_version(request) + + +def test_delete_processor_version_rest_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + + # get arguments that satisfy an http rule for this method + sample_request = {'name': 'projects/sample1/locations/sample2/processors/sample3/processorVersions/sample4'} + + # get truthy value for each flattened field + mock_args = dict( + name='name_value', + ) + mock_args.update(sample_request) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + client.delete_processor_version(**mock_args) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(req.mock_calls) == 1 + _, args, _ = req.mock_calls[0] + assert path_template.validate("%s/v1beta3/{name=projects/*/locations/*/processors/*/processorVersions/*}" % client.transport._host, args[1]) + + +def test_delete_processor_version_rest_flattened_error(transport: str = 'rest'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.delete_processor_version( + document_processor_service.DeleteProcessorVersionRequest(), + name='name_value', + ) + + +def test_delete_processor_version_rest_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest' + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.DeployProcessorVersionRequest, + dict, +]) +def test_deploy_processor_version_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processors/sample3/processorVersions/sample4'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.deploy_processor_version(request) + + # Establish that the response is the type that we expect. + assert response.operation.name == "operations/spam" + + +def test_deploy_processor_version_rest_required_fields(request_type=document_processor_service.DeployProcessorVersionRequest): + transport_class = transports.DocumentProcessorServiceRestTransport + + request_init = {} + request_init["name"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).deploy_processor_version._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["name"] = 'name_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).deploy_processor_version._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "name" in jsonified_request + assert jsonified_request["name"] == 'name_value' + + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "post", + 'query_params': pb_request, + } + transcode_result['body'] = pb_request + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.deploy_processor_version(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_deploy_processor_version_rest_unset_required_fields(): + transport = transports.DocumentProcessorServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.deploy_processor_version._get_unset_required_fields({}) + assert set(unset_fields) == (set(()) & set(("name", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_deploy_processor_version_rest_interceptors(null_interceptor): + transport = transports.DocumentProcessorServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentProcessorServiceRestInterceptor(), + ) + client = DocumentProcessorServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(operation.Operation, "_set_result_from_operation"), \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "post_deploy_processor_version") as post, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "pre_deploy_processor_version") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_processor_service.DeployProcessorVersionRequest.pb(document_processor_service.DeployProcessorVersionRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = json_format.MessageToJson(operations_pb2.Operation()) + + request = document_processor_service.DeployProcessorVersionRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = operations_pb2.Operation() + + client.deploy_processor_version(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_deploy_processor_version_rest_bad_request(transport: str = 'rest', request_type=document_processor_service.DeployProcessorVersionRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processors/sample3/processorVersions/sample4'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.deploy_processor_version(request) + + +def test_deploy_processor_version_rest_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + + # get arguments that satisfy an http rule for this method + sample_request = {'name': 'projects/sample1/locations/sample2/processors/sample3/processorVersions/sample4'} + + # get truthy value for each flattened field + mock_args = dict( + name='name_value', + ) + mock_args.update(sample_request) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + client.deploy_processor_version(**mock_args) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(req.mock_calls) == 1 + _, args, _ = req.mock_calls[0] + assert path_template.validate("%s/v1beta3/{name=projects/*/locations/*/processors/*/processorVersions/*}:deploy" % client.transport._host, args[1]) + + +def test_deploy_processor_version_rest_flattened_error(transport: str = 'rest'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.deploy_processor_version( + document_processor_service.DeployProcessorVersionRequest(), + name='name_value', + ) + + +def test_deploy_processor_version_rest_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest' + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.UndeployProcessorVersionRequest, + dict, +]) +def test_undeploy_processor_version_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processors/sample3/processorVersions/sample4'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.undeploy_processor_version(request) + + # Establish that the response is the type that we expect. + assert response.operation.name == "operations/spam" + + +def test_undeploy_processor_version_rest_required_fields(request_type=document_processor_service.UndeployProcessorVersionRequest): + transport_class = transports.DocumentProcessorServiceRestTransport + + request_init = {} + request_init["name"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).undeploy_processor_version._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["name"] = 'name_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).undeploy_processor_version._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "name" in jsonified_request + assert jsonified_request["name"] == 'name_value' + + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "post", + 'query_params': pb_request, + } + transcode_result['body'] = pb_request + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.undeploy_processor_version(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_undeploy_processor_version_rest_unset_required_fields(): + transport = transports.DocumentProcessorServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.undeploy_processor_version._get_unset_required_fields({}) + assert set(unset_fields) == (set(()) & set(("name", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_undeploy_processor_version_rest_interceptors(null_interceptor): + transport = transports.DocumentProcessorServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentProcessorServiceRestInterceptor(), + ) + client = DocumentProcessorServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(operation.Operation, "_set_result_from_operation"), \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "post_undeploy_processor_version") as post, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "pre_undeploy_processor_version") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_processor_service.UndeployProcessorVersionRequest.pb(document_processor_service.UndeployProcessorVersionRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = json_format.MessageToJson(operations_pb2.Operation()) + + request = document_processor_service.UndeployProcessorVersionRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = operations_pb2.Operation() + + client.undeploy_processor_version(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_undeploy_processor_version_rest_bad_request(transport: str = 'rest', request_type=document_processor_service.UndeployProcessorVersionRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processors/sample3/processorVersions/sample4'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.undeploy_processor_version(request) + + +def test_undeploy_processor_version_rest_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + + # get arguments that satisfy an http rule for this method + sample_request = {'name': 'projects/sample1/locations/sample2/processors/sample3/processorVersions/sample4'} + + # get truthy value for each flattened field + mock_args = dict( + name='name_value', + ) + mock_args.update(sample_request) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + client.undeploy_processor_version(**mock_args) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(req.mock_calls) == 1 + _, args, _ = req.mock_calls[0] + assert path_template.validate("%s/v1beta3/{name=projects/*/locations/*/processors/*/processorVersions/*}:undeploy" % client.transport._host, args[1]) + + +def test_undeploy_processor_version_rest_flattened_error(transport: str = 'rest'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.undeploy_processor_version( + document_processor_service.UndeployProcessorVersionRequest(), + name='name_value', + ) + + +def test_undeploy_processor_version_rest_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest' + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.CreateProcessorRequest, + dict, +]) +def test_create_processor_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'parent': 'projects/sample1/locations/sample2'} + request_init["processor"] = {'name': 'name_value', 'type_': 'type__value', 'display_name': 'display_name_value', 'state': 1, 'default_processor_version': 'default_processor_version_value', 'processor_version_aliases': [{'alias': 'alias_value', 'processor_version': 'processor_version_value'}], 'process_endpoint': 'process_endpoint_value', 'create_time': {'seconds': 751, 'nanos': 543}, 'kms_key_name': 'kms_key_name_value'} + # The version of a generated dependency at test runtime may differ from the version used during generation. + # Delete any fields which are not present in the current runtime dependency + # See https://github.com/googleapis/gapic-generator-python/issues/1748 + + # Determine if the message type is proto-plus or protobuf + test_field = document_processor_service.CreateProcessorRequest.meta.fields["processor"] + + def get_message_fields(field): + # Given a field which is a message (composite type), return a list with + # all the fields of the message. + # If the field is not a composite type, return an empty list. + message_fields = [] + + if hasattr(field, "message") and field.message: + is_field_type_proto_plus_type = not hasattr(field.message, "DESCRIPTOR") + + if is_field_type_proto_plus_type: + message_fields = field.message.meta.fields.values() + # Add `# pragma: NO COVER` because there may not be any `*_pb2` field types + else: # pragma: NO COVER + message_fields = field.message.DESCRIPTOR.fields + return message_fields + + runtime_nested_fields = [ + (field.name, nested_field.name) + for field in get_message_fields(test_field) + for nested_field in get_message_fields(field) + ] + + subfields_not_in_runtime = [] + + # For each item in the sample request, create a list of sub fields which are not present at runtime + # Add `# pragma: NO COVER` because this test code will not run if all subfields are present at runtime + for field, value in request_init["processor"].items(): # pragma: NO COVER + result = None + is_repeated = False + # For repeated fields + if isinstance(value, list) and len(value): + is_repeated = True + result = value[0] + # For fields where the type is another message + if isinstance(value, dict): + result = value + + if result and hasattr(result, "keys"): + for subfield in result.keys(): + if (field, subfield) not in runtime_nested_fields: + subfields_not_in_runtime.append( + {"field": field, "subfield": subfield, "is_repeated": is_repeated} + ) + + # Remove fields from the sample request which are not present in the runtime version of the dependency + # Add `# pragma: NO COVER` because this test code will not run if all subfields are present at runtime + for subfield_to_delete in subfields_not_in_runtime: # pragma: NO COVER + field = subfield_to_delete.get("field") + field_repeated = subfield_to_delete.get("is_repeated") + subfield = subfield_to_delete.get("subfield") + if subfield: + if field_repeated: + for i in range(0, len(request_init["processor"][field])): + del request_init["processor"][field][i][subfield] + else: + del request_init["processor"][field][subfield] + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = gcd_processor.Processor( + name='name_value', + type_='type__value', + display_name='display_name_value', + state=gcd_processor.Processor.State.ENABLED, + default_processor_version='default_processor_version_value', + process_endpoint='process_endpoint_value', + kms_key_name='kms_key_name_value', + ) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = gcd_processor.Processor.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.create_processor(request) + + # Establish that the response is the type that we expect. + assert isinstance(response, gcd_processor.Processor) + assert response.name == 'name_value' + assert response.type_ == 'type__value' + assert response.display_name == 'display_name_value' + assert response.state == gcd_processor.Processor.State.ENABLED + assert response.default_processor_version == 'default_processor_version_value' + assert response.process_endpoint == 'process_endpoint_value' + assert response.kms_key_name == 'kms_key_name_value' + + +def test_create_processor_rest_required_fields(request_type=document_processor_service.CreateProcessorRequest): + transport_class = transports.DocumentProcessorServiceRestTransport + + request_init = {} + request_init["parent"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).create_processor._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["parent"] = 'parent_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).create_processor._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "parent" in jsonified_request + assert jsonified_request["parent"] == 'parent_value' + + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = gcd_processor.Processor() + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "post", + 'query_params': pb_request, + } + transcode_result['body'] = pb_request + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + + # Convert return value to protobuf type + return_value = gcd_processor.Processor.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.create_processor(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_create_processor_rest_unset_required_fields(): + transport = transports.DocumentProcessorServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.create_processor._get_unset_required_fields({}) + assert set(unset_fields) == (set(()) & set(("parent", "processor", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_create_processor_rest_interceptors(null_interceptor): + transport = transports.DocumentProcessorServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentProcessorServiceRestInterceptor(), + ) + client = DocumentProcessorServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "post_create_processor") as post, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "pre_create_processor") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_processor_service.CreateProcessorRequest.pb(document_processor_service.CreateProcessorRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = gcd_processor.Processor.to_json(gcd_processor.Processor()) + + request = document_processor_service.CreateProcessorRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = gcd_processor.Processor() + + client.create_processor(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_create_processor_rest_bad_request(transport: str = 'rest', request_type=document_processor_service.CreateProcessorRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'parent': 'projects/sample1/locations/sample2'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.create_processor(request) + + +def test_create_processor_rest_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = gcd_processor.Processor() + + # get arguments that satisfy an http rule for this method + sample_request = {'parent': 'projects/sample1/locations/sample2'} + + # get truthy value for each flattened field + mock_args = dict( + parent='parent_value', + processor=gcd_processor.Processor(name='name_value'), + ) + mock_args.update(sample_request) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = gcd_processor.Processor.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + client.create_processor(**mock_args) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(req.mock_calls) == 1 + _, args, _ = req.mock_calls[0] + assert path_template.validate("%s/v1beta3/{parent=projects/*/locations/*}/processors" % client.transport._host, args[1]) + + +def test_create_processor_rest_flattened_error(transport: str = 'rest'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.create_processor( + document_processor_service.CreateProcessorRequest(), + parent='parent_value', + processor=gcd_processor.Processor(name='name_value'), + ) + + +def test_create_processor_rest_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest' + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.DeleteProcessorRequest, + dict, +]) +def test_delete_processor_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processors/sample3'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.delete_processor(request) + + # Establish that the response is the type that we expect. + assert response.operation.name == "operations/spam" + + +def test_delete_processor_rest_required_fields(request_type=document_processor_service.DeleteProcessorRequest): + transport_class = transports.DocumentProcessorServiceRestTransport + + request_init = {} + request_init["name"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).delete_processor._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["name"] = 'name_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).delete_processor._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "name" in jsonified_request + assert jsonified_request["name"] == 'name_value' + + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "delete", + 'query_params': pb_request, + } + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.delete_processor(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_delete_processor_rest_unset_required_fields(): + transport = transports.DocumentProcessorServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.delete_processor._get_unset_required_fields({}) + assert set(unset_fields) == (set(()) & set(("name", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_delete_processor_rest_interceptors(null_interceptor): + transport = transports.DocumentProcessorServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentProcessorServiceRestInterceptor(), + ) + client = DocumentProcessorServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(operation.Operation, "_set_result_from_operation"), \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "post_delete_processor") as post, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "pre_delete_processor") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_processor_service.DeleteProcessorRequest.pb(document_processor_service.DeleteProcessorRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = json_format.MessageToJson(operations_pb2.Operation()) + + request = document_processor_service.DeleteProcessorRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = operations_pb2.Operation() + + client.delete_processor(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_delete_processor_rest_bad_request(transport: str = 'rest', request_type=document_processor_service.DeleteProcessorRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processors/sample3'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.delete_processor(request) + + +def test_delete_processor_rest_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + + # get arguments that satisfy an http rule for this method + sample_request = {'name': 'projects/sample1/locations/sample2/processors/sample3'} + + # get truthy value for each flattened field + mock_args = dict( + name='name_value', + ) + mock_args.update(sample_request) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + client.delete_processor(**mock_args) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(req.mock_calls) == 1 + _, args, _ = req.mock_calls[0] + assert path_template.validate("%s/v1beta3/{name=projects/*/locations/*/processors/*}" % client.transport._host, args[1]) + + +def test_delete_processor_rest_flattened_error(transport: str = 'rest'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.delete_processor( + document_processor_service.DeleteProcessorRequest(), + name='name_value', + ) + + +def test_delete_processor_rest_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest' + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.EnableProcessorRequest, + dict, +]) +def test_enable_processor_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processors/sample3'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.enable_processor(request) + + # Establish that the response is the type that we expect. + assert response.operation.name == "operations/spam" + + +def test_enable_processor_rest_required_fields(request_type=document_processor_service.EnableProcessorRequest): + transport_class = transports.DocumentProcessorServiceRestTransport + + request_init = {} + request_init["name"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).enable_processor._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["name"] = 'name_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).enable_processor._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "name" in jsonified_request + assert jsonified_request["name"] == 'name_value' + + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "post", + 'query_params': pb_request, + } + transcode_result['body'] = pb_request + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.enable_processor(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_enable_processor_rest_unset_required_fields(): + transport = transports.DocumentProcessorServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.enable_processor._get_unset_required_fields({}) + assert set(unset_fields) == (set(()) & set(("name", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_enable_processor_rest_interceptors(null_interceptor): + transport = transports.DocumentProcessorServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentProcessorServiceRestInterceptor(), + ) + client = DocumentProcessorServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(operation.Operation, "_set_result_from_operation"), \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "post_enable_processor") as post, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "pre_enable_processor") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_processor_service.EnableProcessorRequest.pb(document_processor_service.EnableProcessorRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = json_format.MessageToJson(operations_pb2.Operation()) + + request = document_processor_service.EnableProcessorRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = operations_pb2.Operation() + + client.enable_processor(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_enable_processor_rest_bad_request(transport: str = 'rest', request_type=document_processor_service.EnableProcessorRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processors/sample3'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.enable_processor(request) + + +def test_enable_processor_rest_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest' + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.DisableProcessorRequest, + dict, +]) +def test_disable_processor_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processors/sample3'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.disable_processor(request) + + # Establish that the response is the type that we expect. + assert response.operation.name == "operations/spam" + + +def test_disable_processor_rest_required_fields(request_type=document_processor_service.DisableProcessorRequest): + transport_class = transports.DocumentProcessorServiceRestTransport + + request_init = {} + request_init["name"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).disable_processor._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["name"] = 'name_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).disable_processor._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "name" in jsonified_request + assert jsonified_request["name"] == 'name_value' + + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "post", + 'query_params': pb_request, + } + transcode_result['body'] = pb_request + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.disable_processor(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_disable_processor_rest_unset_required_fields(): + transport = transports.DocumentProcessorServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.disable_processor._get_unset_required_fields({}) + assert set(unset_fields) == (set(()) & set(("name", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_disable_processor_rest_interceptors(null_interceptor): + transport = transports.DocumentProcessorServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentProcessorServiceRestInterceptor(), + ) + client = DocumentProcessorServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(operation.Operation, "_set_result_from_operation"), \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "post_disable_processor") as post, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "pre_disable_processor") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_processor_service.DisableProcessorRequest.pb(document_processor_service.DisableProcessorRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = json_format.MessageToJson(operations_pb2.Operation()) + + request = document_processor_service.DisableProcessorRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = operations_pb2.Operation() + + client.disable_processor(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_disable_processor_rest_bad_request(transport: str = 'rest', request_type=document_processor_service.DisableProcessorRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processors/sample3'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.disable_processor(request) + + +def test_disable_processor_rest_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest' + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.SetDefaultProcessorVersionRequest, + dict, +]) +def test_set_default_processor_version_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'processor': 'projects/sample1/locations/sample2/processors/sample3'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.set_default_processor_version(request) + + # Establish that the response is the type that we expect. + assert response.operation.name == "operations/spam" + + +def test_set_default_processor_version_rest_required_fields(request_type=document_processor_service.SetDefaultProcessorVersionRequest): + transport_class = transports.DocumentProcessorServiceRestTransport + + request_init = {} + request_init["processor"] = "" + request_init["default_processor_version"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).set_default_processor_version._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["processor"] = 'processor_value' + jsonified_request["defaultProcessorVersion"] = 'default_processor_version_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).set_default_processor_version._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "processor" in jsonified_request + assert jsonified_request["processor"] == 'processor_value' + assert "defaultProcessorVersion" in jsonified_request + assert jsonified_request["defaultProcessorVersion"] == 'default_processor_version_value' + + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "post", + 'query_params': pb_request, + } + transcode_result['body'] = pb_request + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.set_default_processor_version(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_set_default_processor_version_rest_unset_required_fields(): + transport = transports.DocumentProcessorServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.set_default_processor_version._get_unset_required_fields({}) + assert set(unset_fields) == (set(()) & set(("processor", "defaultProcessorVersion", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_set_default_processor_version_rest_interceptors(null_interceptor): + transport = transports.DocumentProcessorServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentProcessorServiceRestInterceptor(), + ) + client = DocumentProcessorServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(operation.Operation, "_set_result_from_operation"), \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "post_set_default_processor_version") as post, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "pre_set_default_processor_version") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_processor_service.SetDefaultProcessorVersionRequest.pb(document_processor_service.SetDefaultProcessorVersionRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = json_format.MessageToJson(operations_pb2.Operation()) + + request = document_processor_service.SetDefaultProcessorVersionRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = operations_pb2.Operation() + + client.set_default_processor_version(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_set_default_processor_version_rest_bad_request(transport: str = 'rest', request_type=document_processor_service.SetDefaultProcessorVersionRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'processor': 'projects/sample1/locations/sample2/processors/sample3'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.set_default_processor_version(request) + + +def test_set_default_processor_version_rest_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest' + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.ReviewDocumentRequest, + dict, +]) +def test_review_document_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'human_review_config': 'projects/sample1/locations/sample2/processors/sample3/humanReviewConfig'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.review_document(request) + + # Establish that the response is the type that we expect. + assert response.operation.name == "operations/spam" + + +def test_review_document_rest_required_fields(request_type=document_processor_service.ReviewDocumentRequest): + transport_class = transports.DocumentProcessorServiceRestTransport + + request_init = {} + request_init["human_review_config"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).review_document._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["humanReviewConfig"] = 'human_review_config_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).review_document._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "humanReviewConfig" in jsonified_request + assert jsonified_request["humanReviewConfig"] == 'human_review_config_value' + + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "post", + 'query_params': pb_request, + } + transcode_result['body'] = pb_request + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.review_document(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_review_document_rest_unset_required_fields(): + transport = transports.DocumentProcessorServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.review_document._get_unset_required_fields({}) + assert set(unset_fields) == (set(()) & set(("humanReviewConfig", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_review_document_rest_interceptors(null_interceptor): + transport = transports.DocumentProcessorServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentProcessorServiceRestInterceptor(), + ) + client = DocumentProcessorServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(operation.Operation, "_set_result_from_operation"), \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "post_review_document") as post, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "pre_review_document") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_processor_service.ReviewDocumentRequest.pb(document_processor_service.ReviewDocumentRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = json_format.MessageToJson(operations_pb2.Operation()) + + request = document_processor_service.ReviewDocumentRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = operations_pb2.Operation() + + client.review_document(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_review_document_rest_bad_request(transport: str = 'rest', request_type=document_processor_service.ReviewDocumentRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'human_review_config': 'projects/sample1/locations/sample2/processors/sample3/humanReviewConfig'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.review_document(request) + + +def test_review_document_rest_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + + # get arguments that satisfy an http rule for this method + sample_request = {'human_review_config': 'projects/sample1/locations/sample2/processors/sample3/humanReviewConfig'} + + # get truthy value for each flattened field + mock_args = dict( + human_review_config='human_review_config_value', + ) + mock_args.update(sample_request) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + client.review_document(**mock_args) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(req.mock_calls) == 1 + _, args, _ = req.mock_calls[0] + assert path_template.validate("%s/v1beta3/{human_review_config=projects/*/locations/*/processors/*/humanReviewConfig}:reviewDocument" % client.transport._host, args[1]) + + +def test_review_document_rest_flattened_error(transport: str = 'rest'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.review_document( + document_processor_service.ReviewDocumentRequest(), + human_review_config='human_review_config_value', + ) + + +def test_review_document_rest_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest' + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.EvaluateProcessorVersionRequest, + dict, +]) +def test_evaluate_processor_version_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'processor_version': 'projects/sample1/locations/sample2/processors/sample3/processorVersions/sample4'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.evaluate_processor_version(request) + + # Establish that the response is the type that we expect. + assert response.operation.name == "operations/spam" + + +def test_evaluate_processor_version_rest_required_fields(request_type=document_processor_service.EvaluateProcessorVersionRequest): + transport_class = transports.DocumentProcessorServiceRestTransport + + request_init = {} + request_init["processor_version"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).evaluate_processor_version._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["processorVersion"] = 'processor_version_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).evaluate_processor_version._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "processorVersion" in jsonified_request + assert jsonified_request["processorVersion"] == 'processor_version_value' + + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "post", + 'query_params': pb_request, + } + transcode_result['body'] = pb_request + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.evaluate_processor_version(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_evaluate_processor_version_rest_unset_required_fields(): + transport = transports.DocumentProcessorServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.evaluate_processor_version._get_unset_required_fields({}) + assert set(unset_fields) == (set(()) & set(("processorVersion", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_evaluate_processor_version_rest_interceptors(null_interceptor): + transport = transports.DocumentProcessorServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentProcessorServiceRestInterceptor(), + ) + client = DocumentProcessorServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(operation.Operation, "_set_result_from_operation"), \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "post_evaluate_processor_version") as post, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "pre_evaluate_processor_version") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_processor_service.EvaluateProcessorVersionRequest.pb(document_processor_service.EvaluateProcessorVersionRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = json_format.MessageToJson(operations_pb2.Operation()) + + request = document_processor_service.EvaluateProcessorVersionRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = operations_pb2.Operation() + + client.evaluate_processor_version(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_evaluate_processor_version_rest_bad_request(transport: str = 'rest', request_type=document_processor_service.EvaluateProcessorVersionRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'processor_version': 'projects/sample1/locations/sample2/processors/sample3/processorVersions/sample4'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.evaluate_processor_version(request) + + +def test_evaluate_processor_version_rest_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + + # get arguments that satisfy an http rule for this method + sample_request = {'processor_version': 'projects/sample1/locations/sample2/processors/sample3/processorVersions/sample4'} + + # get truthy value for each flattened field + mock_args = dict( + processor_version='processor_version_value', + ) + mock_args.update(sample_request) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + client.evaluate_processor_version(**mock_args) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(req.mock_calls) == 1 + _, args, _ = req.mock_calls[0] + assert path_template.validate("%s/v1beta3/{processor_version=projects/*/locations/*/processors/*/processorVersions/*}:evaluateProcessorVersion" % client.transport._host, args[1]) + + +def test_evaluate_processor_version_rest_flattened_error(transport: str = 'rest'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.evaluate_processor_version( + document_processor_service.EvaluateProcessorVersionRequest(), + processor_version='processor_version_value', + ) + + +def test_evaluate_processor_version_rest_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest' + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.GetEvaluationRequest, + dict, +]) +def test_get_evaluation_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processors/sample3/processorVersions/sample4/evaluations/sample5'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = evaluation.Evaluation( + name='name_value', + kms_key_name='kms_key_name_value', + kms_key_version_name='kms_key_version_name_value', + ) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = evaluation.Evaluation.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.get_evaluation(request) + + # Establish that the response is the type that we expect. + assert isinstance(response, evaluation.Evaluation) + assert response.name == 'name_value' + assert response.kms_key_name == 'kms_key_name_value' + assert response.kms_key_version_name == 'kms_key_version_name_value' + + +def test_get_evaluation_rest_required_fields(request_type=document_processor_service.GetEvaluationRequest): + transport_class = transports.DocumentProcessorServiceRestTransport + + request_init = {} + request_init["name"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).get_evaluation._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["name"] = 'name_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).get_evaluation._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "name" in jsonified_request + assert jsonified_request["name"] == 'name_value' + + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = evaluation.Evaluation() + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "get", + 'query_params': pb_request, + } + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + + # Convert return value to protobuf type + return_value = evaluation.Evaluation.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.get_evaluation(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_get_evaluation_rest_unset_required_fields(): + transport = transports.DocumentProcessorServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.get_evaluation._get_unset_required_fields({}) + assert set(unset_fields) == (set(()) & set(("name", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_get_evaluation_rest_interceptors(null_interceptor): + transport = transports.DocumentProcessorServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentProcessorServiceRestInterceptor(), + ) + client = DocumentProcessorServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "post_get_evaluation") as post, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "pre_get_evaluation") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_processor_service.GetEvaluationRequest.pb(document_processor_service.GetEvaluationRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = evaluation.Evaluation.to_json(evaluation.Evaluation()) + + request = document_processor_service.GetEvaluationRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = evaluation.Evaluation() + + client.get_evaluation(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_get_evaluation_rest_bad_request(transport: str = 'rest', request_type=document_processor_service.GetEvaluationRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processors/sample3/processorVersions/sample4/evaluations/sample5'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.get_evaluation(request) + + +def test_get_evaluation_rest_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = evaluation.Evaluation() + + # get arguments that satisfy an http rule for this method + sample_request = {'name': 'projects/sample1/locations/sample2/processors/sample3/processorVersions/sample4/evaluations/sample5'} + + # get truthy value for each flattened field + mock_args = dict( + name='name_value', + ) + mock_args.update(sample_request) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = evaluation.Evaluation.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + client.get_evaluation(**mock_args) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(req.mock_calls) == 1 + _, args, _ = req.mock_calls[0] + assert path_template.validate("%s/v1beta3/{name=projects/*/locations/*/processors/*/processorVersions/*/evaluations/*}" % client.transport._host, args[1]) + + +def test_get_evaluation_rest_flattened_error(transport: str = 'rest'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.get_evaluation( + document_processor_service.GetEvaluationRequest(), + name='name_value', + ) + + +def test_get_evaluation_rest_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest' + ) + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.ListEvaluationsRequest, + dict, +]) +def test_list_evaluations_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'parent': 'projects/sample1/locations/sample2/processors/sample3/processorVersions/sample4'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = document_processor_service.ListEvaluationsResponse( + next_page_token='next_page_token_value', + ) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = document_processor_service.ListEvaluationsResponse.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.list_evaluations(request) + + # Establish that the response is the type that we expect. + assert isinstance(response, pagers.ListEvaluationsPager) + assert response.next_page_token == 'next_page_token_value' + + +def test_list_evaluations_rest_required_fields(request_type=document_processor_service.ListEvaluationsRequest): + transport_class = transports.DocumentProcessorServiceRestTransport + + request_init = {} + request_init["parent"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).list_evaluations._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["parent"] = 'parent_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).list_evaluations._get_unset_required_fields(jsonified_request) + # Check that path parameters and body parameters are not mixing in. + assert not set(unset_fields) - set(("page_size", "page_token", )) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "parent" in jsonified_request + assert jsonified_request["parent"] == 'parent_value' + + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = document_processor_service.ListEvaluationsResponse() + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "get", + 'query_params': pb_request, + } + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + + # Convert return value to protobuf type + return_value = document_processor_service.ListEvaluationsResponse.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.list_evaluations(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_list_evaluations_rest_unset_required_fields(): + transport = transports.DocumentProcessorServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.list_evaluations._get_unset_required_fields({}) + assert set(unset_fields) == (set(("pageSize", "pageToken", )) & set(("parent", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_list_evaluations_rest_interceptors(null_interceptor): + transport = transports.DocumentProcessorServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentProcessorServiceRestInterceptor(), + ) + client = DocumentProcessorServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "post_list_evaluations") as post, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "pre_list_evaluations") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_processor_service.ListEvaluationsRequest.pb(document_processor_service.ListEvaluationsRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = document_processor_service.ListEvaluationsResponse.to_json(document_processor_service.ListEvaluationsResponse()) + + request = document_processor_service.ListEvaluationsRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = document_processor_service.ListEvaluationsResponse() + + client.list_evaluations(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_list_evaluations_rest_bad_request(transport: str = 'rest', request_type=document_processor_service.ListEvaluationsRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'parent': 'projects/sample1/locations/sample2/processors/sample3/processorVersions/sample4'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.list_evaluations(request) + + +def test_list_evaluations_rest_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = document_processor_service.ListEvaluationsResponse() + + # get arguments that satisfy an http rule for this method + sample_request = {'parent': 'projects/sample1/locations/sample2/processors/sample3/processorVersions/sample4'} + + # get truthy value for each flattened field + mock_args = dict( + parent='parent_value', + ) + mock_args.update(sample_request) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = document_processor_service.ListEvaluationsResponse.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + client.list_evaluations(**mock_args) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(req.mock_calls) == 1 + _, args, _ = req.mock_calls[0] + assert path_template.validate("%s/v1beta3/{parent=projects/*/locations/*/processors/*/processorVersions/*}/evaluations" % client.transport._host, args[1]) + + +def test_list_evaluations_rest_flattened_error(transport: str = 'rest'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.list_evaluations( + document_processor_service.ListEvaluationsRequest(), + parent='parent_value', + ) + + +def test_list_evaluations_rest_pager(transport: str = 'rest'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # TODO(kbandes): remove this mock unless there's a good reason for it. + #with mock.patch.object(path_template, 'transcode') as transcode: + # Set the response as a series of pages + response = ( + document_processor_service.ListEvaluationsResponse( + evaluations=[ + evaluation.Evaluation(), + evaluation.Evaluation(), + evaluation.Evaluation(), + ], + next_page_token='abc', + ), + document_processor_service.ListEvaluationsResponse( + evaluations=[], + next_page_token='def', + ), + document_processor_service.ListEvaluationsResponse( + evaluations=[ + evaluation.Evaluation(), + ], + next_page_token='ghi', + ), + document_processor_service.ListEvaluationsResponse( + evaluations=[ + evaluation.Evaluation(), + evaluation.Evaluation(), + ], + ), + ) + # Two responses for two calls + response = response + response + + # Wrap the values into proper Response objs + response = tuple(document_processor_service.ListEvaluationsResponse.to_json(x) for x in response) + return_values = tuple(Response() for i in response) + for return_val, response_val in zip(return_values, response): + return_val._content = response_val.encode('UTF-8') + return_val.status_code = 200 + req.side_effect = return_values + + sample_request = {'parent': 'projects/sample1/locations/sample2/processors/sample3/processorVersions/sample4'} + + pager = client.list_evaluations(request=sample_request) + + results = list(pager) + assert len(results) == 6 + assert all(isinstance(i, evaluation.Evaluation) + for i in results) + + pages = list(client.list_evaluations(request=sample_request).pages) + for page_, token in zip(pages, ['abc','def','ghi', '']): + assert page_.raw_page.next_page_token == token + + +@pytest.mark.parametrize("request_type", [ + document_processor_service.ImportProcessorVersionRequest, + dict, +]) +def test_import_processor_version_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'parent': 'projects/sample1/locations/sample2/processors/sample3'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.import_processor_version(request) + + # Establish that the response is the type that we expect. + assert response.operation.name == "operations/spam" + + +def test_import_processor_version_rest_required_fields(request_type=document_processor_service.ImportProcessorVersionRequest): + transport_class = transports.DocumentProcessorServiceRestTransport + + request_init = {} + request_init["parent"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).import_processor_version._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["parent"] = 'parent_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).import_processor_version._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "parent" in jsonified_request + assert jsonified_request["parent"] == 'parent_value' + + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "post", + 'query_params': pb_request, + } + transcode_result['body'] = pb_request + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.import_processor_version(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_import_processor_version_rest_unset_required_fields(): + transport = transports.DocumentProcessorServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.import_processor_version._get_unset_required_fields({}) + assert set(unset_fields) == (set(()) & set(("parent", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_import_processor_version_rest_interceptors(null_interceptor): + transport = transports.DocumentProcessorServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentProcessorServiceRestInterceptor(), + ) + client = DocumentProcessorServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(operation.Operation, "_set_result_from_operation"), \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "post_import_processor_version") as post, \ + mock.patch.object(transports.DocumentProcessorServiceRestInterceptor, "pre_import_processor_version") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_processor_service.ImportProcessorVersionRequest.pb(document_processor_service.ImportProcessorVersionRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = json_format.MessageToJson(operations_pb2.Operation()) + + request = document_processor_service.ImportProcessorVersionRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = operations_pb2.Operation() + + client.import_processor_version(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_import_processor_version_rest_bad_request(transport: str = 'rest', request_type=document_processor_service.ImportProcessorVersionRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'parent': 'projects/sample1/locations/sample2/processors/sample3'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.import_processor_version(request) + + +def test_import_processor_version_rest_flattened(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + + # get arguments that satisfy an http rule for this method + sample_request = {'parent': 'projects/sample1/locations/sample2/processors/sample3'} + + # get truthy value for each flattened field + mock_args = dict( + parent='parent_value', + ) + mock_args.update(sample_request) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + client.import_processor_version(**mock_args) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(req.mock_calls) == 1 + _, args, _ = req.mock_calls[0] + assert path_template.validate("%s/v1beta3/{parent=projects/*/locations/*/processors/*}/processorVersions:importProcessorVersion" % client.transport._host, args[1]) + + +def test_import_processor_version_rest_flattened_error(transport: str = 'rest'): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.import_processor_version( + document_processor_service.ImportProcessorVersionRequest(), + parent='parent_value', + ) + + +def test_import_processor_version_rest_error(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest' + ) + + +def test_credentials_transport_error(): + # It is an error to provide credentials and a transport instance. + transport = transports.DocumentProcessorServiceGrpcTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + with pytest.raises(ValueError): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # It is an error to provide a credentials file and a transport instance. + transport = transports.DocumentProcessorServiceGrpcTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + with pytest.raises(ValueError): + client = DocumentProcessorServiceClient( + client_options={"credentials_file": "credentials.json"}, + transport=transport, + ) + + # It is an error to provide an api_key and a transport instance. + transport = transports.DocumentProcessorServiceGrpcTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + options = client_options.ClientOptions() + options.api_key = "api_key" + with pytest.raises(ValueError): + client = DocumentProcessorServiceClient( + client_options=options, + transport=transport, + ) + + # It is an error to provide an api_key and a credential. + options = client_options.ClientOptions() + options.api_key = "api_key" + with pytest.raises(ValueError): + client = DocumentProcessorServiceClient( + client_options=options, + credentials=ga_credentials.AnonymousCredentials() + ) + + # It is an error to provide scopes and a transport instance. + transport = transports.DocumentProcessorServiceGrpcTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + with pytest.raises(ValueError): + client = DocumentProcessorServiceClient( + client_options={"scopes": ["1", "2"]}, + transport=transport, + ) + + +def test_transport_instance(): + # A client may be instantiated with a custom transport instance. + transport = transports.DocumentProcessorServiceGrpcTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + client = DocumentProcessorServiceClient(transport=transport) + assert client.transport is transport + +def test_transport_get_channel(): + # A client may be instantiated with a custom transport instance. + transport = transports.DocumentProcessorServiceGrpcTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + channel = transport.grpc_channel + assert channel + + transport = transports.DocumentProcessorServiceGrpcAsyncIOTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + channel = transport.grpc_channel + assert channel + +@pytest.mark.parametrize("transport_class", [ + transports.DocumentProcessorServiceGrpcTransport, + transports.DocumentProcessorServiceGrpcAsyncIOTransport, + transports.DocumentProcessorServiceRestTransport, +]) +def test_transport_adc(transport_class): + # Test default credentials are used if not provided. + with mock.patch.object(google.auth, 'default') as adc: + adc.return_value = (ga_credentials.AnonymousCredentials(), None) + transport_class() + adc.assert_called_once() + +@pytest.mark.parametrize("transport_name", [ + "grpc", + "rest", +]) +def test_transport_kind(transport_name): + transport = DocumentProcessorServiceClient.get_transport_class(transport_name)( + credentials=ga_credentials.AnonymousCredentials(), + ) + assert transport.kind == transport_name + +def test_transport_grpc_default(): + # A client should use the gRPC transport by default. + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + assert isinstance( + client.transport, + transports.DocumentProcessorServiceGrpcTransport, + ) + +def test_document_processor_service_base_transport_error(): + # Passing both a credentials object and credentials_file should raise an error + with pytest.raises(core_exceptions.DuplicateCredentialArgs): + transport = transports.DocumentProcessorServiceTransport( + credentials=ga_credentials.AnonymousCredentials(), + credentials_file="credentials.json" + ) + + +def test_document_processor_service_base_transport(): + # Instantiate the base transport. + with mock.patch('google.cloud.documentai_v1beta3.services.document_processor_service.transports.DocumentProcessorServiceTransport.__init__') as Transport: + Transport.return_value = None + transport = transports.DocumentProcessorServiceTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Every method on the transport should just blindly + # raise NotImplementedError. + methods = ( + 'process_document', + 'batch_process_documents', + 'fetch_processor_types', + 'list_processor_types', + 'get_processor_type', + 'list_processors', + 'get_processor', + 'train_processor_version', + 'get_processor_version', + 'list_processor_versions', + 'delete_processor_version', + 'deploy_processor_version', + 'undeploy_processor_version', + 'create_processor', + 'delete_processor', + 'enable_processor', + 'disable_processor', + 'set_default_processor_version', + 'review_document', + 'evaluate_processor_version', + 'get_evaluation', + 'list_evaluations', + 'import_processor_version', + 'get_location', + 'list_locations', + 'get_operation', + 'cancel_operation', + 'list_operations', + ) + for method in methods: + with pytest.raises(NotImplementedError): + getattr(transport, method)(request=object()) + + with pytest.raises(NotImplementedError): + transport.close() + + # Additionally, the LRO client (a property) should + # also raise NotImplementedError + with pytest.raises(NotImplementedError): + transport.operations_client + + # Catch all for all remaining methods and properties + remainder = [ + 'kind', + ] + for r in remainder: + with pytest.raises(NotImplementedError): + getattr(transport, r)() + + +def test_document_processor_service_base_transport_with_credentials_file(): + # Instantiate the base transport with a credentials file + with mock.patch.object(google.auth, 'load_credentials_from_file', autospec=True) as load_creds, mock.patch('google.cloud.documentai_v1beta3.services.document_processor_service.transports.DocumentProcessorServiceTransport._prep_wrapped_messages') as Transport: + Transport.return_value = None + load_creds.return_value = (ga_credentials.AnonymousCredentials(), None) + transport = transports.DocumentProcessorServiceTransport( + credentials_file="credentials.json", + quota_project_id="octopus", + ) + load_creds.assert_called_once_with("credentials.json", + scopes=None, + default_scopes=( + 'https://www.googleapis.com/auth/cloud-platform', +), + quota_project_id="octopus", + ) + + +def test_document_processor_service_base_transport_with_adc(): + # Test the default credentials are used if credentials and credentials_file are None. + with mock.patch.object(google.auth, 'default', autospec=True) as adc, mock.patch('google.cloud.documentai_v1beta3.services.document_processor_service.transports.DocumentProcessorServiceTransport._prep_wrapped_messages') as Transport: + Transport.return_value = None + adc.return_value = (ga_credentials.AnonymousCredentials(), None) + transport = transports.DocumentProcessorServiceTransport() + adc.assert_called_once() + + +def test_document_processor_service_auth_adc(): + # If no credentials are provided, we should use ADC credentials. + with mock.patch.object(google.auth, 'default', autospec=True) as adc: + adc.return_value = (ga_credentials.AnonymousCredentials(), None) + DocumentProcessorServiceClient() + adc.assert_called_once_with( + scopes=None, + default_scopes=( + 'https://www.googleapis.com/auth/cloud-platform', +), + quota_project_id=None, + ) + + +@pytest.mark.parametrize( + "transport_class", + [ + transports.DocumentProcessorServiceGrpcTransport, + transports.DocumentProcessorServiceGrpcAsyncIOTransport, + ], +) +def test_document_processor_service_transport_auth_adc(transport_class): + # If credentials and host are not provided, the transport class should use + # ADC credentials. + with mock.patch.object(google.auth, 'default', autospec=True) as adc: + adc.return_value = (ga_credentials.AnonymousCredentials(), None) + transport_class(quota_project_id="octopus", scopes=["1", "2"]) + adc.assert_called_once_with( + scopes=["1", "2"], + default_scopes=( 'https://www.googleapis.com/auth/cloud-platform',), + quota_project_id="octopus", + ) + + +@pytest.mark.parametrize( + "transport_class", + [ + transports.DocumentProcessorServiceGrpcTransport, + transports.DocumentProcessorServiceGrpcAsyncIOTransport, + transports.DocumentProcessorServiceRestTransport, + ], +) +def test_document_processor_service_transport_auth_gdch_credentials(transport_class): + host = 'https://language.com' + api_audience_tests = [None, 'https://language2.com'] + api_audience_expect = [host, 'https://language2.com'] + for t, e in zip(api_audience_tests, api_audience_expect): + with mock.patch.object(google.auth, 'default', autospec=True) as adc: + gdch_mock = mock.MagicMock() + type(gdch_mock).with_gdch_audience = mock.PropertyMock(return_value=gdch_mock) + adc.return_value = (gdch_mock, None) + transport_class(host=host, api_audience=t) + gdch_mock.with_gdch_audience.assert_called_once_with( + e + ) + + +@pytest.mark.parametrize( + "transport_class,grpc_helpers", + [ + (transports.DocumentProcessorServiceGrpcTransport, grpc_helpers), + (transports.DocumentProcessorServiceGrpcAsyncIOTransport, grpc_helpers_async) + ], +) +def test_document_processor_service_transport_create_channel(transport_class, grpc_helpers): + # If credentials and host are not provided, the transport class should use + # ADC credentials. + with mock.patch.object(google.auth, "default", autospec=True) as adc, mock.patch.object( + grpc_helpers, "create_channel", autospec=True + ) as create_channel: + creds = ga_credentials.AnonymousCredentials() + adc.return_value = (creds, None) + transport_class( + quota_project_id="octopus", + scopes=["1", "2"] + ) + + create_channel.assert_called_with( + "documentai.googleapis.com:443", + credentials=creds, + credentials_file=None, + quota_project_id="octopus", + default_scopes=( + 'https://www.googleapis.com/auth/cloud-platform', +), + scopes=["1", "2"], + default_host="documentai.googleapis.com", + ssl_credentials=None, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + +@pytest.mark.parametrize("transport_class", [transports.DocumentProcessorServiceGrpcTransport, transports.DocumentProcessorServiceGrpcAsyncIOTransport]) +def test_document_processor_service_grpc_transport_client_cert_source_for_mtls( + transport_class +): + cred = ga_credentials.AnonymousCredentials() + + # Check ssl_channel_credentials is used if provided. + with mock.patch.object(transport_class, "create_channel") as mock_create_channel: + mock_ssl_channel_creds = mock.Mock() + transport_class( + host="squid.clam.whelk", + credentials=cred, + ssl_channel_credentials=mock_ssl_channel_creds + ) + mock_create_channel.assert_called_once_with( + "squid.clam.whelk:443", + credentials=cred, + credentials_file=None, + scopes=None, + ssl_credentials=mock_ssl_channel_creds, + quota_project_id=None, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + # Check if ssl_channel_credentials is not provided, then client_cert_source_for_mtls + # is used. + with mock.patch.object(transport_class, "create_channel", return_value=mock.Mock()): + with mock.patch("grpc.ssl_channel_credentials") as mock_ssl_cred: + transport_class( + credentials=cred, + client_cert_source_for_mtls=client_cert_source_callback + ) + expected_cert, expected_key = client_cert_source_callback() + mock_ssl_cred.assert_called_once_with( + certificate_chain=expected_cert, + private_key=expected_key + ) + +def test_document_processor_service_http_transport_client_cert_source_for_mtls(): + cred = ga_credentials.AnonymousCredentials() + with mock.patch("google.auth.transport.requests.AuthorizedSession.configure_mtls_channel") as mock_configure_mtls_channel: + transports.DocumentProcessorServiceRestTransport ( + credentials=cred, + client_cert_source_for_mtls=client_cert_source_callback + ) + mock_configure_mtls_channel.assert_called_once_with(client_cert_source_callback) + + +def test_document_processor_service_rest_lro_client(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + transport = client.transport + + # Ensure that we have a api-core operations client. + assert isinstance( + transport.operations_client, + operations_v1.AbstractOperationsClient, + ) + + # Ensure that subsequent calls to the property send the exact same object. + assert transport.operations_client is transport.operations_client + + +@pytest.mark.parametrize("transport_name", [ + "grpc", + "grpc_asyncio", + "rest", +]) +def test_document_processor_service_host_no_port(transport_name): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + client_options=client_options.ClientOptions(api_endpoint='documentai.googleapis.com'), + transport=transport_name, + ) + assert client.transport._host == ( + 'documentai.googleapis.com:443' + if transport_name in ['grpc', 'grpc_asyncio'] + else 'https://documentai.googleapis.com' + ) + +@pytest.mark.parametrize("transport_name", [ + "grpc", + "grpc_asyncio", + "rest", +]) +def test_document_processor_service_host_with_port(transport_name): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + client_options=client_options.ClientOptions(api_endpoint='documentai.googleapis.com:8000'), + transport=transport_name, + ) + assert client.transport._host == ( + 'documentai.googleapis.com:8000' + if transport_name in ['grpc', 'grpc_asyncio'] + else 'https://documentai.googleapis.com:8000' + ) + +@pytest.mark.parametrize("transport_name", [ + "rest", +]) +def test_document_processor_service_client_transport_session_collision(transport_name): + creds1 = ga_credentials.AnonymousCredentials() + creds2 = ga_credentials.AnonymousCredentials() + client1 = DocumentProcessorServiceClient( + credentials=creds1, + transport=transport_name, + ) + client2 = DocumentProcessorServiceClient( + credentials=creds2, + transport=transport_name, + ) + session1 = client1.transport.process_document._session + session2 = client2.transport.process_document._session + assert session1 != session2 + session1 = client1.transport.batch_process_documents._session + session2 = client2.transport.batch_process_documents._session + assert session1 != session2 + session1 = client1.transport.fetch_processor_types._session + session2 = client2.transport.fetch_processor_types._session + assert session1 != session2 + session1 = client1.transport.list_processor_types._session + session2 = client2.transport.list_processor_types._session + assert session1 != session2 + session1 = client1.transport.get_processor_type._session + session2 = client2.transport.get_processor_type._session + assert session1 != session2 + session1 = client1.transport.list_processors._session + session2 = client2.transport.list_processors._session + assert session1 != session2 + session1 = client1.transport.get_processor._session + session2 = client2.transport.get_processor._session + assert session1 != session2 + session1 = client1.transport.train_processor_version._session + session2 = client2.transport.train_processor_version._session + assert session1 != session2 + session1 = client1.transport.get_processor_version._session + session2 = client2.transport.get_processor_version._session + assert session1 != session2 + session1 = client1.transport.list_processor_versions._session + session2 = client2.transport.list_processor_versions._session + assert session1 != session2 + session1 = client1.transport.delete_processor_version._session + session2 = client2.transport.delete_processor_version._session + assert session1 != session2 + session1 = client1.transport.deploy_processor_version._session + session2 = client2.transport.deploy_processor_version._session + assert session1 != session2 + session1 = client1.transport.undeploy_processor_version._session + session2 = client2.transport.undeploy_processor_version._session + assert session1 != session2 + session1 = client1.transport.create_processor._session + session2 = client2.transport.create_processor._session + assert session1 != session2 + session1 = client1.transport.delete_processor._session + session2 = client2.transport.delete_processor._session + assert session1 != session2 + session1 = client1.transport.enable_processor._session + session2 = client2.transport.enable_processor._session + assert session1 != session2 + session1 = client1.transport.disable_processor._session + session2 = client2.transport.disable_processor._session + assert session1 != session2 + session1 = client1.transport.set_default_processor_version._session + session2 = client2.transport.set_default_processor_version._session + assert session1 != session2 + session1 = client1.transport.review_document._session + session2 = client2.transport.review_document._session + assert session1 != session2 + session1 = client1.transport.evaluate_processor_version._session + session2 = client2.transport.evaluate_processor_version._session + assert session1 != session2 + session1 = client1.transport.get_evaluation._session + session2 = client2.transport.get_evaluation._session + assert session1 != session2 + session1 = client1.transport.list_evaluations._session + session2 = client2.transport.list_evaluations._session + assert session1 != session2 + session1 = client1.transport.import_processor_version._session + session2 = client2.transport.import_processor_version._session + assert session1 != session2 +def test_document_processor_service_grpc_transport_channel(): + channel = grpc.secure_channel('http://localhost/', grpc.local_channel_credentials()) + + # Check that channel is used if provided. + transport = transports.DocumentProcessorServiceGrpcTransport( + host="squid.clam.whelk", + channel=channel, + ) + assert transport.grpc_channel == channel + assert transport._host == "squid.clam.whelk:443" + assert transport._ssl_channel_credentials == None + + +def test_document_processor_service_grpc_asyncio_transport_channel(): + channel = aio.secure_channel('http://localhost/', grpc.local_channel_credentials()) + + # Check that channel is used if provided. + transport = transports.DocumentProcessorServiceGrpcAsyncIOTransport( + host="squid.clam.whelk", + channel=channel, + ) + assert transport.grpc_channel == channel + assert transport._host == "squid.clam.whelk:443" + assert transport._ssl_channel_credentials == None + + +# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are +# removed from grpc/grpc_asyncio transport constructor. +@pytest.mark.parametrize("transport_class", [transports.DocumentProcessorServiceGrpcTransport, transports.DocumentProcessorServiceGrpcAsyncIOTransport]) +def test_document_processor_service_transport_channel_mtls_with_client_cert_source( + transport_class +): + with mock.patch("grpc.ssl_channel_credentials", autospec=True) as grpc_ssl_channel_cred: + with mock.patch.object(transport_class, "create_channel") as grpc_create_channel: + mock_ssl_cred = mock.Mock() + grpc_ssl_channel_cred.return_value = mock_ssl_cred + + mock_grpc_channel = mock.Mock() + grpc_create_channel.return_value = mock_grpc_channel + + cred = ga_credentials.AnonymousCredentials() + with pytest.warns(DeprecationWarning): + with mock.patch.object(google.auth, 'default') as adc: + adc.return_value = (cred, None) + transport = transport_class( + host="squid.clam.whelk", + api_mtls_endpoint="mtls.squid.clam.whelk", + client_cert_source=client_cert_source_callback, + ) + adc.assert_called_once() + + grpc_ssl_channel_cred.assert_called_once_with( + certificate_chain=b"cert bytes", private_key=b"key bytes" + ) + grpc_create_channel.assert_called_once_with( + "mtls.squid.clam.whelk:443", + credentials=cred, + credentials_file=None, + scopes=None, + ssl_credentials=mock_ssl_cred, + quota_project_id=None, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + assert transport.grpc_channel == mock_grpc_channel + assert transport._ssl_channel_credentials == mock_ssl_cred + + +# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are +# removed from grpc/grpc_asyncio transport constructor. +@pytest.mark.parametrize("transport_class", [transports.DocumentProcessorServiceGrpcTransport, transports.DocumentProcessorServiceGrpcAsyncIOTransport]) +def test_document_processor_service_transport_channel_mtls_with_adc( + transport_class +): + mock_ssl_cred = mock.Mock() + with mock.patch.multiple( + "google.auth.transport.grpc.SslCredentials", + __init__=mock.Mock(return_value=None), + ssl_credentials=mock.PropertyMock(return_value=mock_ssl_cred), + ): + with mock.patch.object(transport_class, "create_channel") as grpc_create_channel: + mock_grpc_channel = mock.Mock() + grpc_create_channel.return_value = mock_grpc_channel + mock_cred = mock.Mock() + + with pytest.warns(DeprecationWarning): + transport = transport_class( + host="squid.clam.whelk", + credentials=mock_cred, + api_mtls_endpoint="mtls.squid.clam.whelk", + client_cert_source=None, + ) + + grpc_create_channel.assert_called_once_with( + "mtls.squid.clam.whelk:443", + credentials=mock_cred, + credentials_file=None, + scopes=None, + ssl_credentials=mock_ssl_cred, + quota_project_id=None, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + assert transport.grpc_channel == mock_grpc_channel + + +def test_document_processor_service_grpc_lro_client(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + transport = client.transport + + # Ensure that we have a api-core operations client. + assert isinstance( + transport.operations_client, + operations_v1.OperationsClient, + ) + + # Ensure that subsequent calls to the property send the exact same object. + assert transport.operations_client is transport.operations_client + + +def test_document_processor_service_grpc_lro_async_client(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc_asyncio', + ) + transport = client.transport + + # Ensure that we have a api-core operations client. + assert isinstance( + transport.operations_client, + operations_v1.OperationsAsyncClient, + ) + + # Ensure that subsequent calls to the property send the exact same object. + assert transport.operations_client is transport.operations_client + + +def test_evaluation_path(): + project = "squid" + location = "clam" + processor = "whelk" + processor_version = "octopus" + evaluation = "oyster" + expected = "projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processor_version}/evaluations/{evaluation}".format(project=project, location=location, processor=processor, processor_version=processor_version, evaluation=evaluation, ) + actual = DocumentProcessorServiceClient.evaluation_path(project, location, processor, processor_version, evaluation) + assert expected == actual + + +def test_parse_evaluation_path(): + expected = { + "project": "nudibranch", + "location": "cuttlefish", + "processor": "mussel", + "processor_version": "winkle", + "evaluation": "nautilus", + } + path = DocumentProcessorServiceClient.evaluation_path(**expected) + + # Check that the path construction is reversible. + actual = DocumentProcessorServiceClient.parse_evaluation_path(path) + assert expected == actual + +def test_human_review_config_path(): + project = "scallop" + location = "abalone" + processor = "squid" + expected = "projects/{project}/locations/{location}/processors/{processor}/humanReviewConfig".format(project=project, location=location, processor=processor, ) + actual = DocumentProcessorServiceClient.human_review_config_path(project, location, processor) + assert expected == actual + + +def test_parse_human_review_config_path(): + expected = { + "project": "clam", + "location": "whelk", + "processor": "octopus", + } + path = DocumentProcessorServiceClient.human_review_config_path(**expected) + + # Check that the path construction is reversible. + actual = DocumentProcessorServiceClient.parse_human_review_config_path(path) + assert expected == actual + +def test_processor_path(): + project = "oyster" + location = "nudibranch" + processor = "cuttlefish" + expected = "projects/{project}/locations/{location}/processors/{processor}".format(project=project, location=location, processor=processor, ) + actual = DocumentProcessorServiceClient.processor_path(project, location, processor) + assert expected == actual + + +def test_parse_processor_path(): + expected = { + "project": "mussel", + "location": "winkle", + "processor": "nautilus", + } + path = DocumentProcessorServiceClient.processor_path(**expected) + + # Check that the path construction is reversible. + actual = DocumentProcessorServiceClient.parse_processor_path(path) + assert expected == actual + +def test_processor_type_path(): + project = "scallop" + location = "abalone" + processor_type = "squid" + expected = "projects/{project}/locations/{location}/processorTypes/{processor_type}".format(project=project, location=location, processor_type=processor_type, ) + actual = DocumentProcessorServiceClient.processor_type_path(project, location, processor_type) + assert expected == actual + + +def test_parse_processor_type_path(): + expected = { + "project": "clam", + "location": "whelk", + "processor_type": "octopus", + } + path = DocumentProcessorServiceClient.processor_type_path(**expected) + + # Check that the path construction is reversible. + actual = DocumentProcessorServiceClient.parse_processor_type_path(path) + assert expected == actual + +def test_processor_version_path(): + project = "oyster" + location = "nudibranch" + processor = "cuttlefish" + processor_version = "mussel" + expected = "projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processor_version}".format(project=project, location=location, processor=processor, processor_version=processor_version, ) + actual = DocumentProcessorServiceClient.processor_version_path(project, location, processor, processor_version) + assert expected == actual + + +def test_parse_processor_version_path(): + expected = { + "project": "winkle", + "location": "nautilus", + "processor": "scallop", + "processor_version": "abalone", + } + path = DocumentProcessorServiceClient.processor_version_path(**expected) + + # Check that the path construction is reversible. + actual = DocumentProcessorServiceClient.parse_processor_version_path(path) + assert expected == actual + +def test_common_billing_account_path(): + billing_account = "squid" + expected = "billingAccounts/{billing_account}".format(billing_account=billing_account, ) + actual = DocumentProcessorServiceClient.common_billing_account_path(billing_account) + assert expected == actual + + +def test_parse_common_billing_account_path(): + expected = { + "billing_account": "clam", + } + path = DocumentProcessorServiceClient.common_billing_account_path(**expected) + + # Check that the path construction is reversible. + actual = DocumentProcessorServiceClient.parse_common_billing_account_path(path) + assert expected == actual + +def test_common_folder_path(): + folder = "whelk" + expected = "folders/{folder}".format(folder=folder, ) + actual = DocumentProcessorServiceClient.common_folder_path(folder) + assert expected == actual + + +def test_parse_common_folder_path(): + expected = { + "folder": "octopus", + } + path = DocumentProcessorServiceClient.common_folder_path(**expected) + + # Check that the path construction is reversible. + actual = DocumentProcessorServiceClient.parse_common_folder_path(path) + assert expected == actual + +def test_common_organization_path(): + organization = "oyster" + expected = "organizations/{organization}".format(organization=organization, ) + actual = DocumentProcessorServiceClient.common_organization_path(organization) + assert expected == actual + + +def test_parse_common_organization_path(): + expected = { + "organization": "nudibranch", + } + path = DocumentProcessorServiceClient.common_organization_path(**expected) + + # Check that the path construction is reversible. + actual = DocumentProcessorServiceClient.parse_common_organization_path(path) + assert expected == actual + +def test_common_project_path(): + project = "cuttlefish" + expected = "projects/{project}".format(project=project, ) + actual = DocumentProcessorServiceClient.common_project_path(project) + assert expected == actual + + +def test_parse_common_project_path(): + expected = { + "project": "mussel", + } + path = DocumentProcessorServiceClient.common_project_path(**expected) + + # Check that the path construction is reversible. + actual = DocumentProcessorServiceClient.parse_common_project_path(path) + assert expected == actual + +def test_common_location_path(): + project = "winkle" + location = "nautilus" + expected = "projects/{project}/locations/{location}".format(project=project, location=location, ) + actual = DocumentProcessorServiceClient.common_location_path(project, location) + assert expected == actual + + +def test_parse_common_location_path(): + expected = { + "project": "scallop", + "location": "abalone", + } + path = DocumentProcessorServiceClient.common_location_path(**expected) + + # Check that the path construction is reversible. + actual = DocumentProcessorServiceClient.parse_common_location_path(path) + assert expected == actual + + +def test_client_with_default_client_info(): + client_info = gapic_v1.client_info.ClientInfo() + + with mock.patch.object(transports.DocumentProcessorServiceTransport, '_prep_wrapped_messages') as prep: + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + client_info=client_info, + ) + prep.assert_called_once_with(client_info) + + with mock.patch.object(transports.DocumentProcessorServiceTransport, '_prep_wrapped_messages') as prep: + transport_class = DocumentProcessorServiceClient.get_transport_class() + transport = transport_class( + credentials=ga_credentials.AnonymousCredentials(), + client_info=client_info, + ) + prep.assert_called_once_with(client_info) + +@pytest.mark.asyncio +async def test_transport_close_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="grpc_asyncio", + ) + with mock.patch.object(type(getattr(client.transport, "grpc_channel")), "close") as close: + async with client: + close.assert_not_called() + close.assert_called_once() + + +def test_get_location_rest_bad_request(transport: str = 'rest', request_type=locations_pb2.GetLocationRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + request = request_type() + request = json_format.ParseDict({'name': 'projects/sample1/locations/sample2'}, request) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.get_location(request) + +@pytest.mark.parametrize("request_type", [ + locations_pb2.GetLocationRequest, + dict, +]) +def test_get_location_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + request_init = {'name': 'projects/sample1/locations/sample2'} + request = request_type(**request_init) + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = locations_pb2.Location() + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.get_location(request) + + # Establish that the response is the type that we expect. + assert isinstance(response, locations_pb2.Location) + +def test_list_locations_rest_bad_request(transport: str = 'rest', request_type=locations_pb2.ListLocationsRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + request = request_type() + request = json_format.ParseDict({'name': 'projects/sample1'}, request) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.list_locations(request) + +@pytest.mark.parametrize("request_type", [ + locations_pb2.ListLocationsRequest, + dict, +]) +def test_list_locations_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + request_init = {'name': 'projects/sample1'} + request = request_type(**request_init) + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = locations_pb2.ListLocationsResponse() + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.list_locations(request) + + # Establish that the response is the type that we expect. + assert isinstance(response, locations_pb2.ListLocationsResponse) + +def test_cancel_operation_rest_bad_request(transport: str = 'rest', request_type=operations_pb2.CancelOperationRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + request = request_type() + request = json_format.ParseDict({'name': 'projects/sample1/locations/sample2/operations/sample3'}, request) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.cancel_operation(request) + +@pytest.mark.parametrize("request_type", [ + operations_pb2.CancelOperationRequest, + dict, +]) +def test_cancel_operation_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + request_init = {'name': 'projects/sample1/locations/sample2/operations/sample3'} + request = request_type(**request_init) + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = None + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = '{}' + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.cancel_operation(request) + + # Establish that the response is the type that we expect. + assert response is None + +def test_get_operation_rest_bad_request(transport: str = 'rest', request_type=operations_pb2.GetOperationRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + request = request_type() + request = json_format.ParseDict({'name': 'projects/sample1/locations/sample2/operations/sample3'}, request) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.get_operation(request) + +@pytest.mark.parametrize("request_type", [ + operations_pb2.GetOperationRequest, + dict, +]) +def test_get_operation_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + request_init = {'name': 'projects/sample1/locations/sample2/operations/sample3'} + request = request_type(**request_init) + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation() + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.get_operation(request) + + # Establish that the response is the type that we expect. + assert isinstance(response, operations_pb2.Operation) + +def test_list_operations_rest_bad_request(transport: str = 'rest', request_type=operations_pb2.ListOperationsRequest): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + request = request_type() + request = json_format.ParseDict({'name': 'projects/sample1/locations/sample2/operations'}, request) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.list_operations(request) + +@pytest.mark.parametrize("request_type", [ + operations_pb2.ListOperationsRequest, + dict, +]) +def test_list_operations_rest(request_type): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + request_init = {'name': 'projects/sample1/locations/sample2/operations'} + request = request_type(**request_init) + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.ListOperationsResponse() + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.list_operations(request) + + # Establish that the response is the type that we expect. + assert isinstance(response, operations_pb2.ListOperationsResponse) + + +def test_cancel_operation(transport: str = "grpc"): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = operations_pb2.CancelOperationRequest() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = None + response = client.cancel_operation(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the response is the type that we expect. + assert response is None +@pytest.mark.asyncio +async def test_cancel_operation_async(transport: str = "grpc_asyncio"): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = operations_pb2.CancelOperationRequest() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + None + ) + response = await client.cancel_operation(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the response is the type that we expect. + assert response is None + +def test_cancel_operation_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = operations_pb2.CancelOperationRequest() + request.name = "locations" + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call: + call.return_value = None + + client.cancel_operation(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ("x-goog-request-params", "name=locations",) in kw["metadata"] +@pytest.mark.asyncio +async def test_cancel_operation_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = operations_pb2.CancelOperationRequest() + request.name = "locations" + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + None + ) + await client.cancel_operation(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ("x-goog-request-params", "name=locations",) in kw["metadata"] + +def test_cancel_operation_from_dict(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = None + + response = client.cancel_operation( + request={ + "name": "locations", + } + ) + call.assert_called() +@pytest.mark.asyncio +async def test_cancel_operation_from_dict_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + None + ) + response = await client.cancel_operation( + request={ + "name": "locations", + } + ) + call.assert_called() + + +def test_get_operation(transport: str = "grpc"): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = operations_pb2.GetOperationRequest() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.get_operation), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation() + response = client.get_operation(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the response is the type that we expect. + assert isinstance(response, operations_pb2.Operation) +@pytest.mark.asyncio +async def test_get_operation_async(transport: str = "grpc_asyncio"): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = operations_pb2.GetOperationRequest() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.get_operation), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation() + ) + response = await client.get_operation(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the response is the type that we expect. + assert isinstance(response, operations_pb2.Operation) + +def test_get_operation_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = operations_pb2.GetOperationRequest() + request.name = "locations" + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.get_operation), "__call__") as call: + call.return_value = operations_pb2.Operation() + + client.get_operation(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ("x-goog-request-params", "name=locations",) in kw["metadata"] +@pytest.mark.asyncio +async def test_get_operation_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = operations_pb2.GetOperationRequest() + request.name = "locations" + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.get_operation), "__call__") as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation() + ) + await client.get_operation(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ("x-goog-request-params", "name=locations",) in kw["metadata"] + +def test_get_operation_from_dict(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.get_operation), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation() + + response = client.get_operation( + request={ + "name": "locations", + } + ) + call.assert_called() +@pytest.mark.asyncio +async def test_get_operation_from_dict_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.get_operation), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation() + ) + response = await client.get_operation( + request={ + "name": "locations", + } + ) + call.assert_called() + + +def test_list_operations(transport: str = "grpc"): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = operations_pb2.ListOperationsRequest() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_operations), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.ListOperationsResponse() + response = client.list_operations(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the response is the type that we expect. + assert isinstance(response, operations_pb2.ListOperationsResponse) +@pytest.mark.asyncio +async def test_list_operations_async(transport: str = "grpc_asyncio"): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = operations_pb2.ListOperationsRequest() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_operations), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.ListOperationsResponse() + ) + response = await client.list_operations(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the response is the type that we expect. + assert isinstance(response, operations_pb2.ListOperationsResponse) + +def test_list_operations_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = operations_pb2.ListOperationsRequest() + request.name = "locations" + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_operations), "__call__") as call: + call.return_value = operations_pb2.ListOperationsResponse() + + client.list_operations(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ("x-goog-request-params", "name=locations",) in kw["metadata"] +@pytest.mark.asyncio +async def test_list_operations_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = operations_pb2.ListOperationsRequest() + request.name = "locations" + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_operations), "__call__") as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.ListOperationsResponse() + ) + await client.list_operations(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ("x-goog-request-params", "name=locations",) in kw["metadata"] + +def test_list_operations_from_dict(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_operations), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.ListOperationsResponse() + + response = client.list_operations( + request={ + "name": "locations", + } + ) + call.assert_called() +@pytest.mark.asyncio +async def test_list_operations_from_dict_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_operations), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.ListOperationsResponse() + ) + response = await client.list_operations( + request={ + "name": "locations", + } + ) + call.assert_called() + + +def test_list_locations(transport: str = "grpc"): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = locations_pb2.ListLocationsRequest() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_locations), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = locations_pb2.ListLocationsResponse() + response = client.list_locations(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the response is the type that we expect. + assert isinstance(response, locations_pb2.ListLocationsResponse) +@pytest.mark.asyncio +async def test_list_locations_async(transport: str = "grpc_asyncio"): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = locations_pb2.ListLocationsRequest() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_locations), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + locations_pb2.ListLocationsResponse() + ) + response = await client.list_locations(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the response is the type that we expect. + assert isinstance(response, locations_pb2.ListLocationsResponse) + +def test_list_locations_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = locations_pb2.ListLocationsRequest() + request.name = "locations" + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_locations), "__call__") as call: + call.return_value = locations_pb2.ListLocationsResponse() + + client.list_locations(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ("x-goog-request-params", "name=locations",) in kw["metadata"] +@pytest.mark.asyncio +async def test_list_locations_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = locations_pb2.ListLocationsRequest() + request.name = "locations" + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_locations), "__call__") as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + locations_pb2.ListLocationsResponse() + ) + await client.list_locations(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ("x-goog-request-params", "name=locations",) in kw["metadata"] + +def test_list_locations_from_dict(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_locations), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = locations_pb2.ListLocationsResponse() + + response = client.list_locations( + request={ + "name": "locations", + } + ) + call.assert_called() +@pytest.mark.asyncio +async def test_list_locations_from_dict_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_locations), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + locations_pb2.ListLocationsResponse() + ) + response = await client.list_locations( + request={ + "name": "locations", + } + ) + call.assert_called() + + +def test_get_location(transport: str = "grpc"): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = locations_pb2.GetLocationRequest() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.get_location), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = locations_pb2.Location() + response = client.get_location(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the response is the type that we expect. + assert isinstance(response, locations_pb2.Location) +@pytest.mark.asyncio +async def test_get_location_async(transport: str = "grpc_asyncio"): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = locations_pb2.GetLocationRequest() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.get_location), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + locations_pb2.Location() + ) + response = await client.get_location(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the response is the type that we expect. + assert isinstance(response, locations_pb2.Location) + +def test_get_location_field_headers(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials()) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = locations_pb2.GetLocationRequest() + request.name = "locations/abc" + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.get_location), "__call__") as call: + call.return_value = locations_pb2.Location() + + client.get_location(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ("x-goog-request-params", "name=locations/abc",) in kw["metadata"] +@pytest.mark.asyncio +async def test_get_location_field_headers_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials() + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = locations_pb2.GetLocationRequest() + request.name = "locations/abc" + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.get_location), "__call__") as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + locations_pb2.Location() + ) + await client.get_location(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ("x-goog-request-params", "name=locations/abc",) in kw["metadata"] + +def test_get_location_from_dict(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_locations), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = locations_pb2.Location() + + response = client.get_location( + request={ + "name": "locations/abc", + } + ) + call.assert_called() +@pytest.mark.asyncio +async def test_get_location_from_dict_async(): + client = DocumentProcessorServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_locations), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + locations_pb2.Location() + ) + response = await client.get_location( + request={ + "name": "locations", + } + ) + call.assert_called() + + +def test_transport_close(): + transports = { + "rest": "_session", + "grpc": "_grpc_channel", + } + + for transport, close_name in transports.items(): + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport + ) + with mock.patch.object(type(getattr(client.transport, close_name)), "close") as close: + with client: + close.assert_not_called() + close.assert_called_once() + +def test_client_ctx(): + transports = [ + 'rest', + 'grpc', + ] + for transport in transports: + client = DocumentProcessorServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport + ) + # Test client calls underlying transport. + with mock.patch.object(type(client.transport), "close") as close: + close.assert_not_called() + with client: + pass + close.assert_called() + +@pytest.mark.parametrize("client_class,transport_class", [ + (DocumentProcessorServiceClient, transports.DocumentProcessorServiceGrpcTransport), + (DocumentProcessorServiceAsyncClient, transports.DocumentProcessorServiceGrpcAsyncIOTransport), +]) +def test_api_key_credentials(client_class, transport_class): + with mock.patch.object( + google.auth._default, "get_api_key_credentials", create=True + ) as get_api_key_credentials: + mock_cred = mock.Mock() + get_api_key_credentials.return_value = mock_cred + options = client_options.ClientOptions() + options.api_key = "api_key" + with mock.patch.object(transport_class, "__init__") as patched: + patched.return_value = None + client = client_class(client_options=options) + patched.assert_called_once_with( + credentials=mock_cred, + credentials_file=None, + host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE), + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) diff --git a/owl-bot-staging/google-cloud-documentai/v1beta3/tests/unit/gapic/documentai_v1beta3/test_document_service.py b/owl-bot-staging/google-cloud-documentai/v1beta3/tests/unit/gapic/documentai_v1beta3/test_document_service.py new file mode 100644 index 000000000000..6f105174af04 --- /dev/null +++ b/owl-bot-staging/google-cloud-documentai/v1beta3/tests/unit/gapic/documentai_v1beta3/test_document_service.py @@ -0,0 +1,6093 @@ +# -*- coding: utf-8 -*- +# Copyright 2024 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import os +# try/except added for compatibility with python < 3.8 +try: + from unittest import mock + from unittest.mock import AsyncMock # pragma: NO COVER +except ImportError: # pragma: NO COVER + import mock + +import grpc +from grpc.experimental import aio +from collections.abc import Iterable +from google.protobuf import json_format +import json +import math +import pytest +from google.api_core import api_core_version +from proto.marshal.rules.dates import DurationRule, TimestampRule +from proto.marshal.rules import wrappers +from requests import Response +from requests import Request, PreparedRequest +from requests.sessions import Session +from google.protobuf import json_format + +from google.api_core import client_options +from google.api_core import exceptions as core_exceptions +from google.api_core import future +from google.api_core import gapic_v1 +from google.api_core import grpc_helpers +from google.api_core import grpc_helpers_async +from google.api_core import operation +from google.api_core import operation_async # type: ignore +from google.api_core import operations_v1 +from google.api_core import path_template +from google.auth import credentials as ga_credentials +from google.auth.exceptions import MutualTLSChannelError +from google.cloud.documentai_v1beta3.services.document_service import DocumentServiceAsyncClient +from google.cloud.documentai_v1beta3.services.document_service import DocumentServiceClient +from google.cloud.documentai_v1beta3.services.document_service import pagers +from google.cloud.documentai_v1beta3.services.document_service import transports +from google.cloud.documentai_v1beta3.types import dataset +from google.cloud.documentai_v1beta3.types import dataset as gcd_dataset +from google.cloud.documentai_v1beta3.types import document +from google.cloud.documentai_v1beta3.types import document_io +from google.cloud.documentai_v1beta3.types import document_schema +from google.cloud.documentai_v1beta3.types import document_service +from google.cloud.location import locations_pb2 +from google.longrunning import operations_pb2 # type: ignore +from google.oauth2 import service_account +from google.protobuf import field_mask_pb2 # type: ignore +import google.auth + + +def client_cert_source_callback(): + return b"cert bytes", b"key bytes" + +# If default endpoint is localhost, then default mtls endpoint will be the same. +# This method modifies the default endpoint so the client can produce a different +# mtls endpoint for endpoint testing purposes. +def modify_default_endpoint(client): + return "foo.googleapis.com" if ("localhost" in client.DEFAULT_ENDPOINT) else client.DEFAULT_ENDPOINT + +# If default endpoint template is localhost, then default mtls endpoint will be the same. +# This method modifies the default endpoint template so the client can produce a different +# mtls endpoint for endpoint testing purposes. +def modify_default_endpoint_template(client): + return "test.{UNIVERSE_DOMAIN}" if ("localhost" in client._DEFAULT_ENDPOINT_TEMPLATE) else client._DEFAULT_ENDPOINT_TEMPLATE + + +def test__get_default_mtls_endpoint(): + api_endpoint = "example.googleapis.com" + api_mtls_endpoint = "example.mtls.googleapis.com" + sandbox_endpoint = "example.sandbox.googleapis.com" + sandbox_mtls_endpoint = "example.mtls.sandbox.googleapis.com" + non_googleapi = "api.example.com" + + assert DocumentServiceClient._get_default_mtls_endpoint(None) is None + assert DocumentServiceClient._get_default_mtls_endpoint(api_endpoint) == api_mtls_endpoint + assert DocumentServiceClient._get_default_mtls_endpoint(api_mtls_endpoint) == api_mtls_endpoint + assert DocumentServiceClient._get_default_mtls_endpoint(sandbox_endpoint) == sandbox_mtls_endpoint + assert DocumentServiceClient._get_default_mtls_endpoint(sandbox_mtls_endpoint) == sandbox_mtls_endpoint + assert DocumentServiceClient._get_default_mtls_endpoint(non_googleapi) == non_googleapi + +def test__read_environment_variables(): + assert DocumentServiceClient._read_environment_variables() == (False, "auto", None) + + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): + assert DocumentServiceClient._read_environment_variables() == (True, "auto", None) + + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "false"}): + assert DocumentServiceClient._read_environment_variables() == (False, "auto", None) + + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}): + with pytest.raises(ValueError) as excinfo: + DocumentServiceClient._read_environment_variables() + assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`" + + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}): + assert DocumentServiceClient._read_environment_variables() == (False, "never", None) + + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}): + assert DocumentServiceClient._read_environment_variables() == (False, "always", None) + + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"}): + assert DocumentServiceClient._read_environment_variables() == (False, "auto", None) + + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}): + with pytest.raises(MutualTLSChannelError) as excinfo: + DocumentServiceClient._read_environment_variables() + assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + + with mock.patch.dict(os.environ, {"GOOGLE_CLOUD_UNIVERSE_DOMAIN": "foo.com"}): + assert DocumentServiceClient._read_environment_variables() == (False, "auto", "foo.com") + +def test__get_client_cert_source(): + mock_provided_cert_source = mock.Mock() + mock_default_cert_source = mock.Mock() + + assert DocumentServiceClient._get_client_cert_source(None, False) is None + assert DocumentServiceClient._get_client_cert_source(mock_provided_cert_source, False) is None + assert DocumentServiceClient._get_client_cert_source(mock_provided_cert_source, True) == mock_provided_cert_source + + with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True): + with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=mock_default_cert_source): + assert DocumentServiceClient._get_client_cert_source(None, True) is mock_default_cert_source + assert DocumentServiceClient._get_client_cert_source(mock_provided_cert_source, "true") is mock_provided_cert_source + +@mock.patch.object(DocumentServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DocumentServiceClient)) +@mock.patch.object(DocumentServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DocumentServiceAsyncClient)) +def test__get_api_endpoint(): + api_override = "foo.com" + mock_client_cert_source = mock.Mock() + default_universe = DocumentServiceClient._DEFAULT_UNIVERSE + default_endpoint = DocumentServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=default_universe) + mock_universe = "bar.com" + mock_endpoint = DocumentServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=mock_universe) + + assert DocumentServiceClient._get_api_endpoint(api_override, mock_client_cert_source, default_universe, "always") == api_override + assert DocumentServiceClient._get_api_endpoint(None, mock_client_cert_source, default_universe, "auto") == DocumentServiceClient.DEFAULT_MTLS_ENDPOINT + assert DocumentServiceClient._get_api_endpoint(None, None, default_universe, "auto") == default_endpoint + assert DocumentServiceClient._get_api_endpoint(None, None, default_universe, "always") == DocumentServiceClient.DEFAULT_MTLS_ENDPOINT + assert DocumentServiceClient._get_api_endpoint(None, mock_client_cert_source, default_universe, "always") == DocumentServiceClient.DEFAULT_MTLS_ENDPOINT + assert DocumentServiceClient._get_api_endpoint(None, None, mock_universe, "never") == mock_endpoint + assert DocumentServiceClient._get_api_endpoint(None, None, default_universe, "never") == default_endpoint + + with pytest.raises(MutualTLSChannelError) as excinfo: + DocumentServiceClient._get_api_endpoint(None, mock_client_cert_source, mock_universe, "auto") + assert str(excinfo.value) == "mTLS is not supported in any universe other than googleapis.com." + +def test__get_universe_domain(): + client_universe_domain = "foo.com" + universe_domain_env = "bar.com" + + assert DocumentServiceClient._get_universe_domain(client_universe_domain, universe_domain_env) == client_universe_domain + assert DocumentServiceClient._get_universe_domain(None, universe_domain_env) == universe_domain_env + assert DocumentServiceClient._get_universe_domain(None, None) == DocumentServiceClient._DEFAULT_UNIVERSE + + with pytest.raises(ValueError) as excinfo: + DocumentServiceClient._get_universe_domain("", None) + assert str(excinfo.value) == "Universe Domain cannot be an empty string." + +@pytest.mark.parametrize("client_class,transport_class,transport_name", [ + (DocumentServiceClient, transports.DocumentServiceGrpcTransport, "grpc"), + (DocumentServiceClient, transports.DocumentServiceRestTransport, "rest"), +]) +def test__validate_universe_domain(client_class, transport_class, transport_name): + client = client_class( + transport=transport_class( + credentials=ga_credentials.AnonymousCredentials() + ) + ) + assert client._validate_universe_domain() == True + + # Test the case when universe is already validated. + assert client._validate_universe_domain() == True + + if transport_name == "grpc": + # Test the case where credentials are provided by the + # `local_channel_credentials`. The default universes in both match. + channel = grpc.secure_channel('http://localhost/', grpc.local_channel_credentials()) + client = client_class(transport=transport_class(channel=channel)) + assert client._validate_universe_domain() == True + + # Test the case where credentials do not exist: e.g. a transport is provided + # with no credentials. Validation should still succeed because there is no + # mismatch with non-existent credentials. + channel = grpc.secure_channel('http://localhost/', grpc.local_channel_credentials()) + transport=transport_class(channel=channel) + transport._credentials = None + client = client_class(transport=transport) + assert client._validate_universe_domain() == True + + # TODO: This is needed to cater for older versions of google-auth + # Make this test unconditional once the minimum supported version of + # google-auth becomes 2.23.0 or higher. + google_auth_major, google_auth_minor = [int(part) for part in google.auth.__version__.split(".")[0:2]] + if google_auth_major > 2 or (google_auth_major == 2 and google_auth_minor >= 23): + credentials = ga_credentials.AnonymousCredentials() + credentials._universe_domain = "foo.com" + # Test the case when there is a universe mismatch from the credentials. + client = client_class( + transport=transport_class(credentials=credentials) + ) + with pytest.raises(ValueError) as excinfo: + client._validate_universe_domain() + assert str(excinfo.value) == "The configured universe domain (googleapis.com) does not match the universe domain found in the credentials (foo.com). If you haven't configured the universe domain explicitly, `googleapis.com` is the default." + + # Test the case when there is a universe mismatch from the client. + # + # TODO: Make this test unconditional once the minimum supported version of + # google-api-core becomes 2.15.0 or higher. + api_core_major, api_core_minor = [int(part) for part in api_core_version.__version__.split(".")[0:2]] + if api_core_major > 2 or (api_core_major == 2 and api_core_minor >= 15): + client = client_class(client_options={"universe_domain": "bar.com"}, transport=transport_class(credentials=ga_credentials.AnonymousCredentials(),)) + with pytest.raises(ValueError) as excinfo: + client._validate_universe_domain() + assert str(excinfo.value) == "The configured universe domain (bar.com) does not match the universe domain found in the credentials (googleapis.com). If you haven't configured the universe domain explicitly, `googleapis.com` is the default." + + # Test that ValueError is raised if universe_domain is provided via client options and credentials is None + with pytest.raises(ValueError): + client._compare_universes("foo.bar", None) + + +@pytest.mark.parametrize("client_class,transport_name", [ + (DocumentServiceClient, "grpc"), + (DocumentServiceAsyncClient, "grpc_asyncio"), + (DocumentServiceClient, "rest"), +]) +def test_document_service_client_from_service_account_info(client_class, transport_name): + creds = ga_credentials.AnonymousCredentials() + with mock.patch.object(service_account.Credentials, 'from_service_account_info') as factory: + factory.return_value = creds + info = {"valid": True} + client = client_class.from_service_account_info(info, transport=transport_name) + assert client.transport._credentials == creds + assert isinstance(client, client_class) + + assert client.transport._host == ( + 'documentai.googleapis.com:443' + if transport_name in ['grpc', 'grpc_asyncio'] + else + 'https://documentai.googleapis.com' + ) + + +@pytest.mark.parametrize("transport_class,transport_name", [ + (transports.DocumentServiceGrpcTransport, "grpc"), + (transports.DocumentServiceGrpcAsyncIOTransport, "grpc_asyncio"), + (transports.DocumentServiceRestTransport, "rest"), +]) +def test_document_service_client_service_account_always_use_jwt(transport_class, transport_name): + with mock.patch.object(service_account.Credentials, 'with_always_use_jwt_access', create=True) as use_jwt: + creds = service_account.Credentials(None, None, None) + transport = transport_class(credentials=creds, always_use_jwt_access=True) + use_jwt.assert_called_once_with(True) + + with mock.patch.object(service_account.Credentials, 'with_always_use_jwt_access', create=True) as use_jwt: + creds = service_account.Credentials(None, None, None) + transport = transport_class(credentials=creds, always_use_jwt_access=False) + use_jwt.assert_not_called() + + +@pytest.mark.parametrize("client_class,transport_name", [ + (DocumentServiceClient, "grpc"), + (DocumentServiceAsyncClient, "grpc_asyncio"), + (DocumentServiceClient, "rest"), +]) +def test_document_service_client_from_service_account_file(client_class, transport_name): + creds = ga_credentials.AnonymousCredentials() + with mock.patch.object(service_account.Credentials, 'from_service_account_file') as factory: + factory.return_value = creds + client = client_class.from_service_account_file("dummy/file/path.json", transport=transport_name) + assert client.transport._credentials == creds + assert isinstance(client, client_class) + + client = client_class.from_service_account_json("dummy/file/path.json", transport=transport_name) + assert client.transport._credentials == creds + assert isinstance(client, client_class) + + assert client.transport._host == ( + 'documentai.googleapis.com:443' + if transport_name in ['grpc', 'grpc_asyncio'] + else + 'https://documentai.googleapis.com' + ) + + +def test_document_service_client_get_transport_class(): + transport = DocumentServiceClient.get_transport_class() + available_transports = [ + transports.DocumentServiceGrpcTransport, + transports.DocumentServiceRestTransport, + ] + assert transport in available_transports + + transport = DocumentServiceClient.get_transport_class("grpc") + assert transport == transports.DocumentServiceGrpcTransport + + +@pytest.mark.parametrize("client_class,transport_class,transport_name", [ + (DocumentServiceClient, transports.DocumentServiceGrpcTransport, "grpc"), + (DocumentServiceAsyncClient, transports.DocumentServiceGrpcAsyncIOTransport, "grpc_asyncio"), + (DocumentServiceClient, transports.DocumentServiceRestTransport, "rest"), +]) +@mock.patch.object(DocumentServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DocumentServiceClient)) +@mock.patch.object(DocumentServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DocumentServiceAsyncClient)) +def test_document_service_client_client_options(client_class, transport_class, transport_name): + # Check that if channel is provided we won't create a new one. + with mock.patch.object(DocumentServiceClient, 'get_transport_class') as gtc: + transport = transport_class( + credentials=ga_credentials.AnonymousCredentials() + ) + client = client_class(transport=transport) + gtc.assert_not_called() + + # Check that if channel is provided via str we will create a new one. + with mock.patch.object(DocumentServiceClient, 'get_transport_class') as gtc: + client = client_class(transport=transport_name) + gtc.assert_called() + + # Check the case api_endpoint is provided. + options = client_options.ClientOptions(api_endpoint="squid.clam.whelk") + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(transport=transport_name, client_options=options) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host="squid.clam.whelk", + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is + # "never". + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}): + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE), + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is + # "always". + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}): + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client.DEFAULT_MTLS_ENDPOINT, + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has + # unsupported value. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}): + with pytest.raises(MutualTLSChannelError) as excinfo: + client = client_class(transport=transport_name) + assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + + # Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}): + with pytest.raises(ValueError) as excinfo: + client = client_class(transport=transport_name) + assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`" + + # Check the case quota_project_id is provided + options = client_options.ClientOptions(quota_project_id="octopus") + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE), + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id="octopus", + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + # Check the case api_endpoint is provided + options = client_options.ClientOptions(api_audience="https://language.googleapis.com") + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE), + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience="https://language.googleapis.com" + ) + +@pytest.mark.parametrize("client_class,transport_class,transport_name,use_client_cert_env", [ + (DocumentServiceClient, transports.DocumentServiceGrpcTransport, "grpc", "true"), + (DocumentServiceAsyncClient, transports.DocumentServiceGrpcAsyncIOTransport, "grpc_asyncio", "true"), + (DocumentServiceClient, transports.DocumentServiceGrpcTransport, "grpc", "false"), + (DocumentServiceAsyncClient, transports.DocumentServiceGrpcAsyncIOTransport, "grpc_asyncio", "false"), + (DocumentServiceClient, transports.DocumentServiceRestTransport, "rest", "true"), + (DocumentServiceClient, transports.DocumentServiceRestTransport, "rest", "false"), +]) +@mock.patch.object(DocumentServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DocumentServiceClient)) +@mock.patch.object(DocumentServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DocumentServiceAsyncClient)) +@mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"}) +def test_document_service_client_mtls_env_auto(client_class, transport_class, transport_name, use_client_cert_env): + # This tests the endpoint autoswitch behavior. Endpoint is autoswitched to the default + # mtls endpoint, if GOOGLE_API_USE_CLIENT_CERTIFICATE is "true" and client cert exists. + + # Check the case client_cert_source is provided. Whether client cert is used depends on + # GOOGLE_API_USE_CLIENT_CERTIFICATE value. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}): + options = client_options.ClientOptions(client_cert_source=client_cert_source_callback) + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + + if use_client_cert_env == "false": + expected_client_cert_source = None + expected_host = client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE) + else: + expected_client_cert_source = client_cert_source_callback + expected_host = client.DEFAULT_MTLS_ENDPOINT + + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=expected_host, + scopes=None, + client_cert_source_for_mtls=expected_client_cert_source, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + # Check the case ADC client cert is provided. Whether client cert is used depends on + # GOOGLE_API_USE_CLIENT_CERTIFICATE value. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}): + with mock.patch.object(transport_class, '__init__') as patched: + with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True): + with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=client_cert_source_callback): + if use_client_cert_env == "false": + expected_host = client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE) + expected_client_cert_source = None + else: + expected_host = client.DEFAULT_MTLS_ENDPOINT + expected_client_cert_source = client_cert_source_callback + + patched.return_value = None + client = client_class(transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=expected_host, + scopes=None, + client_cert_source_for_mtls=expected_client_cert_source, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + # Check the case client_cert_source and ADC client cert are not provided. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}): + with mock.patch.object(transport_class, '__init__') as patched: + with mock.patch("google.auth.transport.mtls.has_default_client_cert_source", return_value=False): + patched.return_value = None + client = client_class(transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE), + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + +@pytest.mark.parametrize("client_class", [ + DocumentServiceClient, DocumentServiceAsyncClient +]) +@mock.patch.object(DocumentServiceClient, "DEFAULT_ENDPOINT", modify_default_endpoint(DocumentServiceClient)) +@mock.patch.object(DocumentServiceAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(DocumentServiceAsyncClient)) +def test_document_service_client_get_mtls_endpoint_and_cert_source(client_class): + mock_client_cert_source = mock.Mock() + + # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "true". + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): + mock_api_endpoint = "foo" + options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint) + api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(options) + assert api_endpoint == mock_api_endpoint + assert cert_source == mock_client_cert_source + + # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "false". + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "false"}): + mock_client_cert_source = mock.Mock() + mock_api_endpoint = "foo" + options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint) + api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(options) + assert api_endpoint == mock_api_endpoint + assert cert_source is None + + # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "never". + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}): + api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() + assert api_endpoint == client_class.DEFAULT_ENDPOINT + assert cert_source is None + + # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "always". + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}): + api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() + assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT + assert cert_source is None + + # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert doesn't exist. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): + with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=False): + api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() + assert api_endpoint == client_class.DEFAULT_ENDPOINT + assert cert_source is None + + # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert exists. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): + with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True): + with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=mock_client_cert_source): + api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() + assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT + assert cert_source == mock_client_cert_source + + # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has + # unsupported value. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}): + with pytest.raises(MutualTLSChannelError) as excinfo: + client_class.get_mtls_endpoint_and_cert_source() + + assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + + # Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}): + with pytest.raises(ValueError) as excinfo: + client_class.get_mtls_endpoint_and_cert_source() + + assert str(excinfo.value) == "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`" + +@pytest.mark.parametrize("client_class", [ + DocumentServiceClient, DocumentServiceAsyncClient +]) +@mock.patch.object(DocumentServiceClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DocumentServiceClient)) +@mock.patch.object(DocumentServiceAsyncClient, "_DEFAULT_ENDPOINT_TEMPLATE", modify_default_endpoint_template(DocumentServiceAsyncClient)) +def test_document_service_client_client_api_endpoint(client_class): + mock_client_cert_source = client_cert_source_callback + api_override = "foo.com" + default_universe = DocumentServiceClient._DEFAULT_UNIVERSE + default_endpoint = DocumentServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=default_universe) + mock_universe = "bar.com" + mock_endpoint = DocumentServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=mock_universe) + + # If ClientOptions.api_endpoint is set and GOOGLE_API_USE_CLIENT_CERTIFICATE="true", + # use ClientOptions.api_endpoint as the api endpoint regardless. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): + with mock.patch("google.auth.transport.requests.AuthorizedSession.configure_mtls_channel"): + options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=api_override) + client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials()) + assert client.api_endpoint == api_override + + # If ClientOptions.api_endpoint is not set and GOOGLE_API_USE_MTLS_ENDPOINT="never", + # use the _DEFAULT_ENDPOINT_TEMPLATE populated with GDU as the api endpoint. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}): + client = client_class(credentials=ga_credentials.AnonymousCredentials()) + assert client.api_endpoint == default_endpoint + + # If ClientOptions.api_endpoint is not set and GOOGLE_API_USE_MTLS_ENDPOINT="always", + # use the DEFAULT_MTLS_ENDPOINT as the api endpoint. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}): + client = client_class(credentials=ga_credentials.AnonymousCredentials()) + assert client.api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT + + # If ClientOptions.api_endpoint is not set, GOOGLE_API_USE_MTLS_ENDPOINT="auto" (default), + # GOOGLE_API_USE_CLIENT_CERTIFICATE="false" (default), default cert source doesn't exist, + # and ClientOptions.universe_domain="bar.com", + # use the _DEFAULT_ENDPOINT_TEMPLATE populated with universe domain as the api endpoint. + options = client_options.ClientOptions() + universe_exists = hasattr(options, "universe_domain") + if universe_exists: + options = client_options.ClientOptions(universe_domain=mock_universe) + client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials()) + else: + client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials()) + assert client.api_endpoint == (mock_endpoint if universe_exists else default_endpoint) + assert client.universe_domain == (mock_universe if universe_exists else default_universe) + + # If ClientOptions does not have a universe domain attribute and GOOGLE_API_USE_MTLS_ENDPOINT="never", + # use the _DEFAULT_ENDPOINT_TEMPLATE populated with GDU as the api endpoint. + options = client_options.ClientOptions() + if hasattr(options, "universe_domain"): + delattr(options, "universe_domain") + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}): + client = client_class(client_options=options, credentials=ga_credentials.AnonymousCredentials()) + assert client.api_endpoint == default_endpoint + + +@pytest.mark.parametrize("client_class,transport_class,transport_name", [ + (DocumentServiceClient, transports.DocumentServiceGrpcTransport, "grpc"), + (DocumentServiceAsyncClient, transports.DocumentServiceGrpcAsyncIOTransport, "grpc_asyncio"), + (DocumentServiceClient, transports.DocumentServiceRestTransport, "rest"), +]) +def test_document_service_client_client_options_scopes(client_class, transport_class, transport_name): + # Check the case scopes are provided. + options = client_options.ClientOptions( + scopes=["1", "2"], + ) + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE), + scopes=["1", "2"], + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + +@pytest.mark.parametrize("client_class,transport_class,transport_name,grpc_helpers", [ + (DocumentServiceClient, transports.DocumentServiceGrpcTransport, "grpc", grpc_helpers), + (DocumentServiceAsyncClient, transports.DocumentServiceGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async), + (DocumentServiceClient, transports.DocumentServiceRestTransport, "rest", None), +]) +def test_document_service_client_client_options_credentials_file(client_class, transport_class, transport_name, grpc_helpers): + # Check the case credentials file is provided. + options = client_options.ClientOptions( + credentials_file="credentials.json" + ) + + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file="credentials.json", + host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE), + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + +def test_document_service_client_client_options_from_dict(): + with mock.patch('google.cloud.documentai_v1beta3.services.document_service.transports.DocumentServiceGrpcTransport.__init__') as grpc_transport: + grpc_transport.return_value = None + client = DocumentServiceClient( + client_options={'api_endpoint': 'squid.clam.whelk'} + ) + grpc_transport.assert_called_once_with( + credentials=None, + credentials_file=None, + host="squid.clam.whelk", + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + +@pytest.mark.parametrize("client_class,transport_class,transport_name,grpc_helpers", [ + (DocumentServiceClient, transports.DocumentServiceGrpcTransport, "grpc", grpc_helpers), + (DocumentServiceAsyncClient, transports.DocumentServiceGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async), +]) +def test_document_service_client_create_channel_credentials_file(client_class, transport_class, transport_name, grpc_helpers): + # Check the case credentials file is provided. + options = client_options.ClientOptions( + credentials_file="credentials.json" + ) + + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file="credentials.json", + host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE), + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + # test that the credentials from file are saved and used as the credentials. + with mock.patch.object( + google.auth, "load_credentials_from_file", autospec=True + ) as load_creds, mock.patch.object( + google.auth, "default", autospec=True + ) as adc, mock.patch.object( + grpc_helpers, "create_channel" + ) as create_channel: + creds = ga_credentials.AnonymousCredentials() + file_creds = ga_credentials.AnonymousCredentials() + load_creds.return_value = (file_creds, None) + adc.return_value = (creds, None) + client = client_class(client_options=options, transport=transport_name) + create_channel.assert_called_with( + "documentai.googleapis.com:443", + credentials=file_creds, + credentials_file=None, + quota_project_id=None, + default_scopes=( + 'https://www.googleapis.com/auth/cloud-platform', +), + scopes=None, + default_host="documentai.googleapis.com", + ssl_credentials=None, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + +@pytest.mark.parametrize("request_type", [ + document_service.UpdateDatasetRequest, + dict, +]) +def test_update_dataset(request_type, transport: str = 'grpc'): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_dataset), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/spam') + response = client.update_dataset(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_service.UpdateDatasetRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +def test_update_dataset_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_dataset), + '__call__') as call: + client.update_dataset() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_service.UpdateDatasetRequest() + +@pytest.mark.asyncio +async def test_update_dataset_async(transport: str = 'grpc_asyncio', request_type=document_service.UpdateDatasetRequest): + client = DocumentServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_dataset), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + response = await client.update_dataset(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_service.UpdateDatasetRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +@pytest.mark.asyncio +async def test_update_dataset_async_from_dict(): + await test_update_dataset_async(request_type=dict) + + +def test_update_dataset_field_headers(): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_service.UpdateDatasetRequest() + + request.dataset.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_dataset), + '__call__') as call: + call.return_value = operations_pb2.Operation(name='operations/op') + client.update_dataset(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'dataset.name=name_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_update_dataset_field_headers_async(): + client = DocumentServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_service.UpdateDatasetRequest() + + request.dataset.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_dataset), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) + await client.update_dataset(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'dataset.name=name_value', + ) in kw['metadata'] + + +def test_update_dataset_flattened(): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_dataset), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.update_dataset( + dataset=gcd_dataset.Dataset(gcs_managed_config=gcd_dataset.Dataset.GCSManagedConfig(gcs_prefix=document_io.GcsPrefix(gcs_uri_prefix='gcs_uri_prefix_value'))), + update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].dataset + mock_val = gcd_dataset.Dataset(gcs_managed_config=gcd_dataset.Dataset.GCSManagedConfig(gcs_prefix=document_io.GcsPrefix(gcs_uri_prefix='gcs_uri_prefix_value'))) + assert arg == mock_val + arg = args[0].update_mask + mock_val = field_mask_pb2.FieldMask(paths=['paths_value']) + assert arg == mock_val + + +def test_update_dataset_flattened_error(): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.update_dataset( + document_service.UpdateDatasetRequest(), + dataset=gcd_dataset.Dataset(gcs_managed_config=gcd_dataset.Dataset.GCSManagedConfig(gcs_prefix=document_io.GcsPrefix(gcs_uri_prefix='gcs_uri_prefix_value'))), + update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), + ) + +@pytest.mark.asyncio +async def test_update_dataset_flattened_async(): + client = DocumentServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_dataset), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.update_dataset( + dataset=gcd_dataset.Dataset(gcs_managed_config=gcd_dataset.Dataset.GCSManagedConfig(gcs_prefix=document_io.GcsPrefix(gcs_uri_prefix='gcs_uri_prefix_value'))), + update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].dataset + mock_val = gcd_dataset.Dataset(gcs_managed_config=gcd_dataset.Dataset.GCSManagedConfig(gcs_prefix=document_io.GcsPrefix(gcs_uri_prefix='gcs_uri_prefix_value'))) + assert arg == mock_val + arg = args[0].update_mask + mock_val = field_mask_pb2.FieldMask(paths=['paths_value']) + assert arg == mock_val + +@pytest.mark.asyncio +async def test_update_dataset_flattened_error_async(): + client = DocumentServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.update_dataset( + document_service.UpdateDatasetRequest(), + dataset=gcd_dataset.Dataset(gcs_managed_config=gcd_dataset.Dataset.GCSManagedConfig(gcs_prefix=document_io.GcsPrefix(gcs_uri_prefix='gcs_uri_prefix_value'))), + update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), + ) + + +@pytest.mark.parametrize("request_type", [ + document_service.ImportDocumentsRequest, + dict, +]) +def test_import_documents(request_type, transport: str = 'grpc'): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.import_documents), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/spam') + response = client.import_documents(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_service.ImportDocumentsRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +def test_import_documents_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.import_documents), + '__call__') as call: + client.import_documents() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_service.ImportDocumentsRequest() + +@pytest.mark.asyncio +async def test_import_documents_async(transport: str = 'grpc_asyncio', request_type=document_service.ImportDocumentsRequest): + client = DocumentServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.import_documents), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + response = await client.import_documents(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_service.ImportDocumentsRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +@pytest.mark.asyncio +async def test_import_documents_async_from_dict(): + await test_import_documents_async(request_type=dict) + + +def test_import_documents_field_headers(): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_service.ImportDocumentsRequest() + + request.dataset = 'dataset_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.import_documents), + '__call__') as call: + call.return_value = operations_pb2.Operation(name='operations/op') + client.import_documents(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'dataset=dataset_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_import_documents_field_headers_async(): + client = DocumentServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_service.ImportDocumentsRequest() + + request.dataset = 'dataset_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.import_documents), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) + await client.import_documents(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'dataset=dataset_value', + ) in kw['metadata'] + + +def test_import_documents_flattened(): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.import_documents), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.import_documents( + dataset='dataset_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].dataset + mock_val = 'dataset_value' + assert arg == mock_val + + +def test_import_documents_flattened_error(): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.import_documents( + document_service.ImportDocumentsRequest(), + dataset='dataset_value', + ) + +@pytest.mark.asyncio +async def test_import_documents_flattened_async(): + client = DocumentServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.import_documents), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.import_documents( + dataset='dataset_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].dataset + mock_val = 'dataset_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_import_documents_flattened_error_async(): + client = DocumentServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.import_documents( + document_service.ImportDocumentsRequest(), + dataset='dataset_value', + ) + + +@pytest.mark.parametrize("request_type", [ + document_service.GetDocumentRequest, + dict, +]) +def test_get_document(request_type, transport: str = 'grpc'): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_document), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = document_service.GetDocumentResponse( + ) + response = client.get_document(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_service.GetDocumentRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, document_service.GetDocumentResponse) + + +def test_get_document_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_document), + '__call__') as call: + client.get_document() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_service.GetDocumentRequest() + +@pytest.mark.asyncio +async def test_get_document_async(transport: str = 'grpc_asyncio', request_type=document_service.GetDocumentRequest): + client = DocumentServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_document), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(document_service.GetDocumentResponse( + )) + response = await client.get_document(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_service.GetDocumentRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, document_service.GetDocumentResponse) + + +@pytest.mark.asyncio +async def test_get_document_async_from_dict(): + await test_get_document_async(request_type=dict) + + +def test_get_document_field_headers(): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_service.GetDocumentRequest() + + request.dataset = 'dataset_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_document), + '__call__') as call: + call.return_value = document_service.GetDocumentResponse() + client.get_document(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'dataset=dataset_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_get_document_field_headers_async(): + client = DocumentServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_service.GetDocumentRequest() + + request.dataset = 'dataset_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_document), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(document_service.GetDocumentResponse()) + await client.get_document(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'dataset=dataset_value', + ) in kw['metadata'] + + +def test_get_document_flattened(): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_document), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = document_service.GetDocumentResponse() + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.get_document( + dataset='dataset_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].dataset + mock_val = 'dataset_value' + assert arg == mock_val + + +def test_get_document_flattened_error(): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.get_document( + document_service.GetDocumentRequest(), + dataset='dataset_value', + ) + +@pytest.mark.asyncio +async def test_get_document_flattened_async(): + client = DocumentServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_document), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = document_service.GetDocumentResponse() + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(document_service.GetDocumentResponse()) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.get_document( + dataset='dataset_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].dataset + mock_val = 'dataset_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_get_document_flattened_error_async(): + client = DocumentServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.get_document( + document_service.GetDocumentRequest(), + dataset='dataset_value', + ) + + +@pytest.mark.parametrize("request_type", [ + document_service.ListDocumentsRequest, + dict, +]) +def test_list_documents(request_type, transport: str = 'grpc'): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_documents), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = document_service.ListDocumentsResponse( + next_page_token='next_page_token_value', + total_size=1086, + ) + response = client.list_documents(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_service.ListDocumentsRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, pagers.ListDocumentsPager) + assert response.next_page_token == 'next_page_token_value' + assert response.total_size == 1086 + + +def test_list_documents_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_documents), + '__call__') as call: + client.list_documents() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_service.ListDocumentsRequest() + +@pytest.mark.asyncio +async def test_list_documents_async(transport: str = 'grpc_asyncio', request_type=document_service.ListDocumentsRequest): + client = DocumentServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_documents), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(document_service.ListDocumentsResponse( + next_page_token='next_page_token_value', + total_size=1086, + )) + response = await client.list_documents(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_service.ListDocumentsRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, pagers.ListDocumentsAsyncPager) + assert response.next_page_token == 'next_page_token_value' + assert response.total_size == 1086 + + +@pytest.mark.asyncio +async def test_list_documents_async_from_dict(): + await test_list_documents_async(request_type=dict) + + +def test_list_documents_field_headers(): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_service.ListDocumentsRequest() + + request.dataset = 'dataset_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_documents), + '__call__') as call: + call.return_value = document_service.ListDocumentsResponse() + client.list_documents(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'dataset=dataset_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_list_documents_field_headers_async(): + client = DocumentServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_service.ListDocumentsRequest() + + request.dataset = 'dataset_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_documents), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(document_service.ListDocumentsResponse()) + await client.list_documents(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'dataset=dataset_value', + ) in kw['metadata'] + + +def test_list_documents_flattened(): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_documents), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = document_service.ListDocumentsResponse() + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.list_documents( + dataset='dataset_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].dataset + mock_val = 'dataset_value' + assert arg == mock_val + + +def test_list_documents_flattened_error(): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.list_documents( + document_service.ListDocumentsRequest(), + dataset='dataset_value', + ) + +@pytest.mark.asyncio +async def test_list_documents_flattened_async(): + client = DocumentServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_documents), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = document_service.ListDocumentsResponse() + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(document_service.ListDocumentsResponse()) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.list_documents( + dataset='dataset_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].dataset + mock_val = 'dataset_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_list_documents_flattened_error_async(): + client = DocumentServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.list_documents( + document_service.ListDocumentsRequest(), + dataset='dataset_value', + ) + + +def test_list_documents_pager(transport_name: str = "grpc"): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport_name, + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_documents), + '__call__') as call: + # Set the response to a series of pages. + call.side_effect = ( + document_service.ListDocumentsResponse( + document_metadata=[ + document_service.DocumentMetadata(), + document_service.DocumentMetadata(), + document_service.DocumentMetadata(), + ], + next_page_token='abc', + ), + document_service.ListDocumentsResponse( + document_metadata=[], + next_page_token='def', + ), + document_service.ListDocumentsResponse( + document_metadata=[ + document_service.DocumentMetadata(), + ], + next_page_token='ghi', + ), + document_service.ListDocumentsResponse( + document_metadata=[ + document_service.DocumentMetadata(), + document_service.DocumentMetadata(), + ], + ), + RuntimeError, + ) + + metadata = () + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ('dataset', ''), + )), + ) + pager = client.list_documents(request={}) + + assert pager._metadata == metadata + + results = list(pager) + assert len(results) == 6 + assert all(isinstance(i, document_service.DocumentMetadata) + for i in results) +def test_list_documents_pages(transport_name: str = "grpc"): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport_name, + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_documents), + '__call__') as call: + # Set the response to a series of pages. + call.side_effect = ( + document_service.ListDocumentsResponse( + document_metadata=[ + document_service.DocumentMetadata(), + document_service.DocumentMetadata(), + document_service.DocumentMetadata(), + ], + next_page_token='abc', + ), + document_service.ListDocumentsResponse( + document_metadata=[], + next_page_token='def', + ), + document_service.ListDocumentsResponse( + document_metadata=[ + document_service.DocumentMetadata(), + ], + next_page_token='ghi', + ), + document_service.ListDocumentsResponse( + document_metadata=[ + document_service.DocumentMetadata(), + document_service.DocumentMetadata(), + ], + ), + RuntimeError, + ) + pages = list(client.list_documents(request={}).pages) + for page_, token in zip(pages, ['abc','def','ghi', '']): + assert page_.raw_page.next_page_token == token + +@pytest.mark.asyncio +async def test_list_documents_async_pager(): + client = DocumentServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_documents), + '__call__', new_callable=mock.AsyncMock) as call: + # Set the response to a series of pages. + call.side_effect = ( + document_service.ListDocumentsResponse( + document_metadata=[ + document_service.DocumentMetadata(), + document_service.DocumentMetadata(), + document_service.DocumentMetadata(), + ], + next_page_token='abc', + ), + document_service.ListDocumentsResponse( + document_metadata=[], + next_page_token='def', + ), + document_service.ListDocumentsResponse( + document_metadata=[ + document_service.DocumentMetadata(), + ], + next_page_token='ghi', + ), + document_service.ListDocumentsResponse( + document_metadata=[ + document_service.DocumentMetadata(), + document_service.DocumentMetadata(), + ], + ), + RuntimeError, + ) + async_pager = await client.list_documents(request={},) + assert async_pager.next_page_token == 'abc' + responses = [] + async for response in async_pager: # pragma: no branch + responses.append(response) + + assert len(responses) == 6 + assert all(isinstance(i, document_service.DocumentMetadata) + for i in responses) + + +@pytest.mark.asyncio +async def test_list_documents_async_pages(): + client = DocumentServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_documents), + '__call__', new_callable=mock.AsyncMock) as call: + # Set the response to a series of pages. + call.side_effect = ( + document_service.ListDocumentsResponse( + document_metadata=[ + document_service.DocumentMetadata(), + document_service.DocumentMetadata(), + document_service.DocumentMetadata(), + ], + next_page_token='abc', + ), + document_service.ListDocumentsResponse( + document_metadata=[], + next_page_token='def', + ), + document_service.ListDocumentsResponse( + document_metadata=[ + document_service.DocumentMetadata(), + ], + next_page_token='ghi', + ), + document_service.ListDocumentsResponse( + document_metadata=[ + document_service.DocumentMetadata(), + document_service.DocumentMetadata(), + ], + ), + RuntimeError, + ) + pages = [] + # Workaround issue in python 3.9 related to code coverage by adding `# pragma: no branch` + # See https://github.com/googleapis/gapic-generator-python/pull/1174#issuecomment-1025132372 + async for page_ in ( # pragma: no branch + await client.list_documents(request={}) + ).pages: + pages.append(page_) + for page_, token in zip(pages, ['abc','def','ghi', '']): + assert page_.raw_page.next_page_token == token + +@pytest.mark.parametrize("request_type", [ + document_service.BatchDeleteDocumentsRequest, + dict, +]) +def test_batch_delete_documents(request_type, transport: str = 'grpc'): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.batch_delete_documents), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/spam') + response = client.batch_delete_documents(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_service.BatchDeleteDocumentsRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +def test_batch_delete_documents_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.batch_delete_documents), + '__call__') as call: + client.batch_delete_documents() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_service.BatchDeleteDocumentsRequest() + +@pytest.mark.asyncio +async def test_batch_delete_documents_async(transport: str = 'grpc_asyncio', request_type=document_service.BatchDeleteDocumentsRequest): + client = DocumentServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.batch_delete_documents), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + response = await client.batch_delete_documents(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_service.BatchDeleteDocumentsRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +@pytest.mark.asyncio +async def test_batch_delete_documents_async_from_dict(): + await test_batch_delete_documents_async(request_type=dict) + + +def test_batch_delete_documents_field_headers(): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_service.BatchDeleteDocumentsRequest() + + request.dataset = 'dataset_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.batch_delete_documents), + '__call__') as call: + call.return_value = operations_pb2.Operation(name='operations/op') + client.batch_delete_documents(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'dataset=dataset_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_batch_delete_documents_field_headers_async(): + client = DocumentServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_service.BatchDeleteDocumentsRequest() + + request.dataset = 'dataset_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.batch_delete_documents), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) + await client.batch_delete_documents(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'dataset=dataset_value', + ) in kw['metadata'] + + +def test_batch_delete_documents_flattened(): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.batch_delete_documents), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.batch_delete_documents( + dataset='dataset_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].dataset + mock_val = 'dataset_value' + assert arg == mock_val + + +def test_batch_delete_documents_flattened_error(): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.batch_delete_documents( + document_service.BatchDeleteDocumentsRequest(), + dataset='dataset_value', + ) + +@pytest.mark.asyncio +async def test_batch_delete_documents_flattened_async(): + client = DocumentServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.batch_delete_documents), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.batch_delete_documents( + dataset='dataset_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].dataset + mock_val = 'dataset_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_batch_delete_documents_flattened_error_async(): + client = DocumentServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.batch_delete_documents( + document_service.BatchDeleteDocumentsRequest(), + dataset='dataset_value', + ) + + +@pytest.mark.parametrize("request_type", [ + document_service.GetDatasetSchemaRequest, + dict, +]) +def test_get_dataset_schema(request_type, transport: str = 'grpc'): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_dataset_schema), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = dataset.DatasetSchema( + name='name_value', + ) + response = client.get_dataset_schema(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_service.GetDatasetSchemaRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, dataset.DatasetSchema) + assert response.name == 'name_value' + + +def test_get_dataset_schema_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_dataset_schema), + '__call__') as call: + client.get_dataset_schema() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_service.GetDatasetSchemaRequest() + +@pytest.mark.asyncio +async def test_get_dataset_schema_async(transport: str = 'grpc_asyncio', request_type=document_service.GetDatasetSchemaRequest): + client = DocumentServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_dataset_schema), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(dataset.DatasetSchema( + name='name_value', + )) + response = await client.get_dataset_schema(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_service.GetDatasetSchemaRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, dataset.DatasetSchema) + assert response.name == 'name_value' + + +@pytest.mark.asyncio +async def test_get_dataset_schema_async_from_dict(): + await test_get_dataset_schema_async(request_type=dict) + + +def test_get_dataset_schema_field_headers(): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_service.GetDatasetSchemaRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_dataset_schema), + '__call__') as call: + call.return_value = dataset.DatasetSchema() + client.get_dataset_schema(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_get_dataset_schema_field_headers_async(): + client = DocumentServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_service.GetDatasetSchemaRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_dataset_schema), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(dataset.DatasetSchema()) + await client.get_dataset_schema(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +def test_get_dataset_schema_flattened(): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_dataset_schema), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = dataset.DatasetSchema() + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.get_dataset_schema( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + + +def test_get_dataset_schema_flattened_error(): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.get_dataset_schema( + document_service.GetDatasetSchemaRequest(), + name='name_value', + ) + +@pytest.mark.asyncio +async def test_get_dataset_schema_flattened_async(): + client = DocumentServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_dataset_schema), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = dataset.DatasetSchema() + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(dataset.DatasetSchema()) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.get_dataset_schema( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_get_dataset_schema_flattened_error_async(): + client = DocumentServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.get_dataset_schema( + document_service.GetDatasetSchemaRequest(), + name='name_value', + ) + + +@pytest.mark.parametrize("request_type", [ + document_service.UpdateDatasetSchemaRequest, + dict, +]) +def test_update_dataset_schema(request_type, transport: str = 'grpc'): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_dataset_schema), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = dataset.DatasetSchema( + name='name_value', + ) + response = client.update_dataset_schema(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == document_service.UpdateDatasetSchemaRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, dataset.DatasetSchema) + assert response.name == 'name_value' + + +def test_update_dataset_schema_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_dataset_schema), + '__call__') as call: + client.update_dataset_schema() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == document_service.UpdateDatasetSchemaRequest() + +@pytest.mark.asyncio +async def test_update_dataset_schema_async(transport: str = 'grpc_asyncio', request_type=document_service.UpdateDatasetSchemaRequest): + client = DocumentServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_dataset_schema), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(dataset.DatasetSchema( + name='name_value', + )) + response = await client.update_dataset_schema(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == document_service.UpdateDatasetSchemaRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, dataset.DatasetSchema) + assert response.name == 'name_value' + + +@pytest.mark.asyncio +async def test_update_dataset_schema_async_from_dict(): + await test_update_dataset_schema_async(request_type=dict) + + +def test_update_dataset_schema_field_headers(): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_service.UpdateDatasetSchemaRequest() + + request.dataset_schema.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_dataset_schema), + '__call__') as call: + call.return_value = dataset.DatasetSchema() + client.update_dataset_schema(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'dataset_schema.name=name_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_update_dataset_schema_field_headers_async(): + client = DocumentServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = document_service.UpdateDatasetSchemaRequest() + + request.dataset_schema.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_dataset_schema), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(dataset.DatasetSchema()) + await client.update_dataset_schema(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'dataset_schema.name=name_value', + ) in kw['metadata'] + + +def test_update_dataset_schema_flattened(): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_dataset_schema), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = dataset.DatasetSchema() + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.update_dataset_schema( + dataset_schema=dataset.DatasetSchema(name='name_value'), + update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].dataset_schema + mock_val = dataset.DatasetSchema(name='name_value') + assert arg == mock_val + arg = args[0].update_mask + mock_val = field_mask_pb2.FieldMask(paths=['paths_value']) + assert arg == mock_val + + +def test_update_dataset_schema_flattened_error(): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.update_dataset_schema( + document_service.UpdateDatasetSchemaRequest(), + dataset_schema=dataset.DatasetSchema(name='name_value'), + update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), + ) + +@pytest.mark.asyncio +async def test_update_dataset_schema_flattened_async(): + client = DocumentServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_dataset_schema), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = dataset.DatasetSchema() + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(dataset.DatasetSchema()) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.update_dataset_schema( + dataset_schema=dataset.DatasetSchema(name='name_value'), + update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].dataset_schema + mock_val = dataset.DatasetSchema(name='name_value') + assert arg == mock_val + arg = args[0].update_mask + mock_val = field_mask_pb2.FieldMask(paths=['paths_value']) + assert arg == mock_val + +@pytest.mark.asyncio +async def test_update_dataset_schema_flattened_error_async(): + client = DocumentServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.update_dataset_schema( + document_service.UpdateDatasetSchemaRequest(), + dataset_schema=dataset.DatasetSchema(name='name_value'), + update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), + ) + + +@pytest.mark.parametrize("request_type", [ + document_service.UpdateDatasetRequest, + dict, +]) +def test_update_dataset_rest(request_type): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'dataset': {'name': 'projects/sample1/locations/sample2/processors/sample3/dataset'}} + request_init["dataset"] = {'gcs_managed_config': {'gcs_prefix': {'gcs_uri_prefix': 'gcs_uri_prefix_value'}}, 'document_warehouse_config': {'collection': 'collection_value', 'schema': 'schema_value'}, 'unmanaged_dataset_config': {}, 'spanner_indexing_config': {}, 'name': 'projects/sample1/locations/sample2/processors/sample3/dataset', 'state': 1} + # The version of a generated dependency at test runtime may differ from the version used during generation. + # Delete any fields which are not present in the current runtime dependency + # See https://github.com/googleapis/gapic-generator-python/issues/1748 + + # Determine if the message type is proto-plus or protobuf + test_field = document_service.UpdateDatasetRequest.meta.fields["dataset"] + + def get_message_fields(field): + # Given a field which is a message (composite type), return a list with + # all the fields of the message. + # If the field is not a composite type, return an empty list. + message_fields = [] + + if hasattr(field, "message") and field.message: + is_field_type_proto_plus_type = not hasattr(field.message, "DESCRIPTOR") + + if is_field_type_proto_plus_type: + message_fields = field.message.meta.fields.values() + # Add `# pragma: NO COVER` because there may not be any `*_pb2` field types + else: # pragma: NO COVER + message_fields = field.message.DESCRIPTOR.fields + return message_fields + + runtime_nested_fields = [ + (field.name, nested_field.name) + for field in get_message_fields(test_field) + for nested_field in get_message_fields(field) + ] + + subfields_not_in_runtime = [] + + # For each item in the sample request, create a list of sub fields which are not present at runtime + # Add `# pragma: NO COVER` because this test code will not run if all subfields are present at runtime + for field, value in request_init["dataset"].items(): # pragma: NO COVER + result = None + is_repeated = False + # For repeated fields + if isinstance(value, list) and len(value): + is_repeated = True + result = value[0] + # For fields where the type is another message + if isinstance(value, dict): + result = value + + if result and hasattr(result, "keys"): + for subfield in result.keys(): + if (field, subfield) not in runtime_nested_fields: + subfields_not_in_runtime.append( + {"field": field, "subfield": subfield, "is_repeated": is_repeated} + ) + + # Remove fields from the sample request which are not present in the runtime version of the dependency + # Add `# pragma: NO COVER` because this test code will not run if all subfields are present at runtime + for subfield_to_delete in subfields_not_in_runtime: # pragma: NO COVER + field = subfield_to_delete.get("field") + field_repeated = subfield_to_delete.get("is_repeated") + subfield = subfield_to_delete.get("subfield") + if subfield: + if field_repeated: + for i in range(0, len(request_init["dataset"][field])): + del request_init["dataset"][field][i][subfield] + else: + del request_init["dataset"][field][subfield] + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.update_dataset(request) + + # Establish that the response is the type that we expect. + assert response.operation.name == "operations/spam" + + +def test_update_dataset_rest_required_fields(request_type=document_service.UpdateDatasetRequest): + transport_class = transports.DocumentServiceRestTransport + + request_init = {} + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).update_dataset._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).update_dataset._get_unset_required_fields(jsonified_request) + # Check that path parameters and body parameters are not mixing in. + assert not set(unset_fields) - set(("update_mask", )) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "patch", + 'query_params': pb_request, + } + transcode_result['body'] = pb_request + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.update_dataset(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_update_dataset_rest_unset_required_fields(): + transport = transports.DocumentServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.update_dataset._get_unset_required_fields({}) + assert set(unset_fields) == (set(("updateMask", )) & set(("dataset", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_update_dataset_rest_interceptors(null_interceptor): + transport = transports.DocumentServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentServiceRestInterceptor(), + ) + client = DocumentServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(operation.Operation, "_set_result_from_operation"), \ + mock.patch.object(transports.DocumentServiceRestInterceptor, "post_update_dataset") as post, \ + mock.patch.object(transports.DocumentServiceRestInterceptor, "pre_update_dataset") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_service.UpdateDatasetRequest.pb(document_service.UpdateDatasetRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = json_format.MessageToJson(operations_pb2.Operation()) + + request = document_service.UpdateDatasetRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = operations_pb2.Operation() + + client.update_dataset(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_update_dataset_rest_bad_request(transport: str = 'rest', request_type=document_service.UpdateDatasetRequest): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'dataset': {'name': 'projects/sample1/locations/sample2/processors/sample3/dataset'}} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.update_dataset(request) + + +def test_update_dataset_rest_flattened(): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + + # get arguments that satisfy an http rule for this method + sample_request = {'dataset': {'name': 'projects/sample1/locations/sample2/processors/sample3/dataset'}} + + # get truthy value for each flattened field + mock_args = dict( + dataset=gcd_dataset.Dataset(gcs_managed_config=gcd_dataset.Dataset.GCSManagedConfig(gcs_prefix=document_io.GcsPrefix(gcs_uri_prefix='gcs_uri_prefix_value'))), + update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), + ) + mock_args.update(sample_request) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + client.update_dataset(**mock_args) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(req.mock_calls) == 1 + _, args, _ = req.mock_calls[0] + assert path_template.validate("%s/v1beta3/{dataset.name=projects/*/locations/*/processors/*/dataset}" % client.transport._host, args[1]) + + +def test_update_dataset_rest_flattened_error(transport: str = 'rest'): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.update_dataset( + document_service.UpdateDatasetRequest(), + dataset=gcd_dataset.Dataset(gcs_managed_config=gcd_dataset.Dataset.GCSManagedConfig(gcs_prefix=document_io.GcsPrefix(gcs_uri_prefix='gcs_uri_prefix_value'))), + update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), + ) + + +def test_update_dataset_rest_error(): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest' + ) + + +@pytest.mark.parametrize("request_type", [ + document_service.ImportDocumentsRequest, + dict, +]) +def test_import_documents_rest(request_type): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'dataset': 'projects/sample1/locations/sample2/processors/sample3/dataset'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.import_documents(request) + + # Establish that the response is the type that we expect. + assert response.operation.name == "operations/spam" + + +def test_import_documents_rest_required_fields(request_type=document_service.ImportDocumentsRequest): + transport_class = transports.DocumentServiceRestTransport + + request_init = {} + request_init["dataset"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).import_documents._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["dataset"] = 'dataset_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).import_documents._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "dataset" in jsonified_request + assert jsonified_request["dataset"] == 'dataset_value' + + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "post", + 'query_params': pb_request, + } + transcode_result['body'] = pb_request + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.import_documents(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_import_documents_rest_unset_required_fields(): + transport = transports.DocumentServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.import_documents._get_unset_required_fields({}) + assert set(unset_fields) == (set(()) & set(("dataset", "batchDocumentsImportConfigs", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_import_documents_rest_interceptors(null_interceptor): + transport = transports.DocumentServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentServiceRestInterceptor(), + ) + client = DocumentServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(operation.Operation, "_set_result_from_operation"), \ + mock.patch.object(transports.DocumentServiceRestInterceptor, "post_import_documents") as post, \ + mock.patch.object(transports.DocumentServiceRestInterceptor, "pre_import_documents") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_service.ImportDocumentsRequest.pb(document_service.ImportDocumentsRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = json_format.MessageToJson(operations_pb2.Operation()) + + request = document_service.ImportDocumentsRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = operations_pb2.Operation() + + client.import_documents(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_import_documents_rest_bad_request(transport: str = 'rest', request_type=document_service.ImportDocumentsRequest): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'dataset': 'projects/sample1/locations/sample2/processors/sample3/dataset'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.import_documents(request) + + +def test_import_documents_rest_flattened(): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + + # get arguments that satisfy an http rule for this method + sample_request = {'dataset': 'projects/sample1/locations/sample2/processors/sample3/dataset'} + + # get truthy value for each flattened field + mock_args = dict( + dataset='dataset_value', + ) + mock_args.update(sample_request) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + client.import_documents(**mock_args) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(req.mock_calls) == 1 + _, args, _ = req.mock_calls[0] + assert path_template.validate("%s/v1beta3/{dataset=projects/*/locations/*/processors/*/dataset}:importDocuments" % client.transport._host, args[1]) + + +def test_import_documents_rest_flattened_error(transport: str = 'rest'): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.import_documents( + document_service.ImportDocumentsRequest(), + dataset='dataset_value', + ) + + +def test_import_documents_rest_error(): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest' + ) + + +@pytest.mark.parametrize("request_type", [ + document_service.GetDocumentRequest, + dict, +]) +def test_get_document_rest(request_type): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'dataset': 'projects/sample1/locations/sample2/processors/sample3/dataset'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = document_service.GetDocumentResponse( + ) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = document_service.GetDocumentResponse.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.get_document(request) + + # Establish that the response is the type that we expect. + assert isinstance(response, document_service.GetDocumentResponse) + + +def test_get_document_rest_required_fields(request_type=document_service.GetDocumentRequest): + transport_class = transports.DocumentServiceRestTransport + + request_init = {} + request_init["dataset"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).get_document._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["dataset"] = 'dataset_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).get_document._get_unset_required_fields(jsonified_request) + # Check that path parameters and body parameters are not mixing in. + assert not set(unset_fields) - set(("document_id", "page_range", "read_mask", )) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "dataset" in jsonified_request + assert jsonified_request["dataset"] == 'dataset_value' + + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = document_service.GetDocumentResponse() + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "get", + 'query_params': pb_request, + } + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + + # Convert return value to protobuf type + return_value = document_service.GetDocumentResponse.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.get_document(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_get_document_rest_unset_required_fields(): + transport = transports.DocumentServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.get_document._get_unset_required_fields({}) + assert set(unset_fields) == (set(("documentId", "pageRange", "readMask", )) & set(("dataset", "documentId", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_get_document_rest_interceptors(null_interceptor): + transport = transports.DocumentServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentServiceRestInterceptor(), + ) + client = DocumentServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(transports.DocumentServiceRestInterceptor, "post_get_document") as post, \ + mock.patch.object(transports.DocumentServiceRestInterceptor, "pre_get_document") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_service.GetDocumentRequest.pb(document_service.GetDocumentRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = document_service.GetDocumentResponse.to_json(document_service.GetDocumentResponse()) + + request = document_service.GetDocumentRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = document_service.GetDocumentResponse() + + client.get_document(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_get_document_rest_bad_request(transport: str = 'rest', request_type=document_service.GetDocumentRequest): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'dataset': 'projects/sample1/locations/sample2/processors/sample3/dataset'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.get_document(request) + + +def test_get_document_rest_flattened(): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = document_service.GetDocumentResponse() + + # get arguments that satisfy an http rule for this method + sample_request = {'dataset': 'projects/sample1/locations/sample2/processors/sample3/dataset'} + + # get truthy value for each flattened field + mock_args = dict( + dataset='dataset_value', + ) + mock_args.update(sample_request) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = document_service.GetDocumentResponse.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + client.get_document(**mock_args) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(req.mock_calls) == 1 + _, args, _ = req.mock_calls[0] + assert path_template.validate("%s/v1beta3/{dataset=projects/*/locations/*/processors/*/dataset}:getDocument" % client.transport._host, args[1]) + + +def test_get_document_rest_flattened_error(transport: str = 'rest'): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.get_document( + document_service.GetDocumentRequest(), + dataset='dataset_value', + ) + + +def test_get_document_rest_error(): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest' + ) + + +@pytest.mark.parametrize("request_type", [ + document_service.ListDocumentsRequest, + dict, +]) +def test_list_documents_rest(request_type): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'dataset': 'projects/sample1/locations/sample2/processors/sample3/dataset'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = document_service.ListDocumentsResponse( + next_page_token='next_page_token_value', + total_size=1086, + ) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = document_service.ListDocumentsResponse.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.list_documents(request) + + # Establish that the response is the type that we expect. + assert isinstance(response, pagers.ListDocumentsPager) + assert response.next_page_token == 'next_page_token_value' + assert response.total_size == 1086 + + +def test_list_documents_rest_required_fields(request_type=document_service.ListDocumentsRequest): + transport_class = transports.DocumentServiceRestTransport + + request_init = {} + request_init["dataset"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).list_documents._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["dataset"] = 'dataset_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).list_documents._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "dataset" in jsonified_request + assert jsonified_request["dataset"] == 'dataset_value' + + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = document_service.ListDocumentsResponse() + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "post", + 'query_params': pb_request, + } + transcode_result['body'] = pb_request + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + + # Convert return value to protobuf type + return_value = document_service.ListDocumentsResponse.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.list_documents(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_list_documents_rest_unset_required_fields(): + transport = transports.DocumentServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.list_documents._get_unset_required_fields({}) + assert set(unset_fields) == (set(()) & set(("dataset", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_list_documents_rest_interceptors(null_interceptor): + transport = transports.DocumentServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentServiceRestInterceptor(), + ) + client = DocumentServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(transports.DocumentServiceRestInterceptor, "post_list_documents") as post, \ + mock.patch.object(transports.DocumentServiceRestInterceptor, "pre_list_documents") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_service.ListDocumentsRequest.pb(document_service.ListDocumentsRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = document_service.ListDocumentsResponse.to_json(document_service.ListDocumentsResponse()) + + request = document_service.ListDocumentsRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = document_service.ListDocumentsResponse() + + client.list_documents(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_list_documents_rest_bad_request(transport: str = 'rest', request_type=document_service.ListDocumentsRequest): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'dataset': 'projects/sample1/locations/sample2/processors/sample3/dataset'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.list_documents(request) + + +def test_list_documents_rest_flattened(): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = document_service.ListDocumentsResponse() + + # get arguments that satisfy an http rule for this method + sample_request = {'dataset': 'projects/sample1/locations/sample2/processors/sample3/dataset'} + + # get truthy value for each flattened field + mock_args = dict( + dataset='dataset_value', + ) + mock_args.update(sample_request) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = document_service.ListDocumentsResponse.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + client.list_documents(**mock_args) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(req.mock_calls) == 1 + _, args, _ = req.mock_calls[0] + assert path_template.validate("%s/v1beta3/{dataset=projects/*/locations/*/processors/*/dataset}:listDocuments" % client.transport._host, args[1]) + + +def test_list_documents_rest_flattened_error(transport: str = 'rest'): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.list_documents( + document_service.ListDocumentsRequest(), + dataset='dataset_value', + ) + + +def test_list_documents_rest_pager(transport: str = 'rest'): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # TODO(kbandes): remove this mock unless there's a good reason for it. + #with mock.patch.object(path_template, 'transcode') as transcode: + # Set the response as a series of pages + response = ( + document_service.ListDocumentsResponse( + document_metadata=[ + document_service.DocumentMetadata(), + document_service.DocumentMetadata(), + document_service.DocumentMetadata(), + ], + next_page_token='abc', + ), + document_service.ListDocumentsResponse( + document_metadata=[], + next_page_token='def', + ), + document_service.ListDocumentsResponse( + document_metadata=[ + document_service.DocumentMetadata(), + ], + next_page_token='ghi', + ), + document_service.ListDocumentsResponse( + document_metadata=[ + document_service.DocumentMetadata(), + document_service.DocumentMetadata(), + ], + ), + ) + # Two responses for two calls + response = response + response + + # Wrap the values into proper Response objs + response = tuple(document_service.ListDocumentsResponse.to_json(x) for x in response) + return_values = tuple(Response() for i in response) + for return_val, response_val in zip(return_values, response): + return_val._content = response_val.encode('UTF-8') + return_val.status_code = 200 + req.side_effect = return_values + + sample_request = {'dataset': 'projects/sample1/locations/sample2/processors/sample3/dataset'} + + pager = client.list_documents(request=sample_request) + + results = list(pager) + assert len(results) == 6 + assert all(isinstance(i, document_service.DocumentMetadata) + for i in results) + + pages = list(client.list_documents(request=sample_request).pages) + for page_, token in zip(pages, ['abc','def','ghi', '']): + assert page_.raw_page.next_page_token == token + + +@pytest.mark.parametrize("request_type", [ + document_service.BatchDeleteDocumentsRequest, + dict, +]) +def test_batch_delete_documents_rest(request_type): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'dataset': 'projects/sample1/locations/sample2/processors/sample3/dataset'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.batch_delete_documents(request) + + # Establish that the response is the type that we expect. + assert response.operation.name == "operations/spam" + + +def test_batch_delete_documents_rest_required_fields(request_type=document_service.BatchDeleteDocumentsRequest): + transport_class = transports.DocumentServiceRestTransport + + request_init = {} + request_init["dataset"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).batch_delete_documents._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["dataset"] = 'dataset_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).batch_delete_documents._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "dataset" in jsonified_request + assert jsonified_request["dataset"] == 'dataset_value' + + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "post", + 'query_params': pb_request, + } + transcode_result['body'] = pb_request + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.batch_delete_documents(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_batch_delete_documents_rest_unset_required_fields(): + transport = transports.DocumentServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.batch_delete_documents._get_unset_required_fields({}) + assert set(unset_fields) == (set(()) & set(("dataset", "datasetDocuments", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_batch_delete_documents_rest_interceptors(null_interceptor): + transport = transports.DocumentServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentServiceRestInterceptor(), + ) + client = DocumentServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(operation.Operation, "_set_result_from_operation"), \ + mock.patch.object(transports.DocumentServiceRestInterceptor, "post_batch_delete_documents") as post, \ + mock.patch.object(transports.DocumentServiceRestInterceptor, "pre_batch_delete_documents") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_service.BatchDeleteDocumentsRequest.pb(document_service.BatchDeleteDocumentsRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = json_format.MessageToJson(operations_pb2.Operation()) + + request = document_service.BatchDeleteDocumentsRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = operations_pb2.Operation() + + client.batch_delete_documents(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_batch_delete_documents_rest_bad_request(transport: str = 'rest', request_type=document_service.BatchDeleteDocumentsRequest): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'dataset': 'projects/sample1/locations/sample2/processors/sample3/dataset'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.batch_delete_documents(request) + + +def test_batch_delete_documents_rest_flattened(): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation(name='operations/spam') + + # get arguments that satisfy an http rule for this method + sample_request = {'dataset': 'projects/sample1/locations/sample2/processors/sample3/dataset'} + + # get truthy value for each flattened field + mock_args = dict( + dataset='dataset_value', + ) + mock_args.update(sample_request) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + client.batch_delete_documents(**mock_args) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(req.mock_calls) == 1 + _, args, _ = req.mock_calls[0] + assert path_template.validate("%s/v1beta3/{dataset=projects/*/locations/*/processors/*/dataset}:batchDeleteDocuments" % client.transport._host, args[1]) + + +def test_batch_delete_documents_rest_flattened_error(transport: str = 'rest'): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.batch_delete_documents( + document_service.BatchDeleteDocumentsRequest(), + dataset='dataset_value', + ) + + +def test_batch_delete_documents_rest_error(): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest' + ) + + +@pytest.mark.parametrize("request_type", [ + document_service.GetDatasetSchemaRequest, + dict, +]) +def test_get_dataset_schema_rest(request_type): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processors/sample3/dataset/datasetSchema'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = dataset.DatasetSchema( + name='name_value', + ) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = dataset.DatasetSchema.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.get_dataset_schema(request) + + # Establish that the response is the type that we expect. + assert isinstance(response, dataset.DatasetSchema) + assert response.name == 'name_value' + + +def test_get_dataset_schema_rest_required_fields(request_type=document_service.GetDatasetSchemaRequest): + transport_class = transports.DocumentServiceRestTransport + + request_init = {} + request_init["name"] = "" + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).get_dataset_schema._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + jsonified_request["name"] = 'name_value' + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).get_dataset_schema._get_unset_required_fields(jsonified_request) + # Check that path parameters and body parameters are not mixing in. + assert not set(unset_fields) - set(("visible_fields_only", )) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + assert "name" in jsonified_request + assert jsonified_request["name"] == 'name_value' + + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = dataset.DatasetSchema() + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "get", + 'query_params': pb_request, + } + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + + # Convert return value to protobuf type + return_value = dataset.DatasetSchema.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.get_dataset_schema(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_get_dataset_schema_rest_unset_required_fields(): + transport = transports.DocumentServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.get_dataset_schema._get_unset_required_fields({}) + assert set(unset_fields) == (set(("visibleFieldsOnly", )) & set(("name", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_get_dataset_schema_rest_interceptors(null_interceptor): + transport = transports.DocumentServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentServiceRestInterceptor(), + ) + client = DocumentServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(transports.DocumentServiceRestInterceptor, "post_get_dataset_schema") as post, \ + mock.patch.object(transports.DocumentServiceRestInterceptor, "pre_get_dataset_schema") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_service.GetDatasetSchemaRequest.pb(document_service.GetDatasetSchemaRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = dataset.DatasetSchema.to_json(dataset.DatasetSchema()) + + request = document_service.GetDatasetSchemaRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = dataset.DatasetSchema() + + client.get_dataset_schema(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_get_dataset_schema_rest_bad_request(transport: str = 'rest', request_type=document_service.GetDatasetSchemaRequest): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'name': 'projects/sample1/locations/sample2/processors/sample3/dataset/datasetSchema'} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.get_dataset_schema(request) + + +def test_get_dataset_schema_rest_flattened(): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = dataset.DatasetSchema() + + # get arguments that satisfy an http rule for this method + sample_request = {'name': 'projects/sample1/locations/sample2/processors/sample3/dataset/datasetSchema'} + + # get truthy value for each flattened field + mock_args = dict( + name='name_value', + ) + mock_args.update(sample_request) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = dataset.DatasetSchema.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + client.get_dataset_schema(**mock_args) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(req.mock_calls) == 1 + _, args, _ = req.mock_calls[0] + assert path_template.validate("%s/v1beta3/{name=projects/*/locations/*/processors/*/dataset/datasetSchema}" % client.transport._host, args[1]) + + +def test_get_dataset_schema_rest_flattened_error(transport: str = 'rest'): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.get_dataset_schema( + document_service.GetDatasetSchemaRequest(), + name='name_value', + ) + + +def test_get_dataset_schema_rest_error(): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest' + ) + + +@pytest.mark.parametrize("request_type", [ + document_service.UpdateDatasetSchemaRequest, + dict, +]) +def test_update_dataset_schema_rest(request_type): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # send a request that will satisfy transcoding + request_init = {'dataset_schema': {'name': 'projects/sample1/locations/sample2/processors/sample3/dataset/datasetSchema'}} + request_init["dataset_schema"] = {'name': 'projects/sample1/locations/sample2/processors/sample3/dataset/datasetSchema', 'document_schema': {'display_name': 'display_name_value', 'description': 'description_value', 'entity_types': [{'enum_values': {'values': ['values_value1', 'values_value2']}, 'display_name': 'display_name_value', 'name': 'name_value', 'base_types': ['base_types_value1', 'base_types_value2'], 'properties': [{'name': 'name_value', 'display_name': 'display_name_value', 'value_type': 'value_type_value', 'occurrence_type': 1, 'property_metadata': {'inactive': True, 'field_extraction_metadata': {'summary_options': {'length': 1, 'format_': 1}}}}], 'entity_type_metadata': {'inactive': True}}], 'metadata': {'document_splitter': True, 'document_allow_multiple_labels': True, 'prefixed_naming_on_properties': True, 'skip_naming_validation': True}}} + # The version of a generated dependency at test runtime may differ from the version used during generation. + # Delete any fields which are not present in the current runtime dependency + # See https://github.com/googleapis/gapic-generator-python/issues/1748 + + # Determine if the message type is proto-plus or protobuf + test_field = document_service.UpdateDatasetSchemaRequest.meta.fields["dataset_schema"] + + def get_message_fields(field): + # Given a field which is a message (composite type), return a list with + # all the fields of the message. + # If the field is not a composite type, return an empty list. + message_fields = [] + + if hasattr(field, "message") and field.message: + is_field_type_proto_plus_type = not hasattr(field.message, "DESCRIPTOR") + + if is_field_type_proto_plus_type: + message_fields = field.message.meta.fields.values() + # Add `# pragma: NO COVER` because there may not be any `*_pb2` field types + else: # pragma: NO COVER + message_fields = field.message.DESCRIPTOR.fields + return message_fields + + runtime_nested_fields = [ + (field.name, nested_field.name) + for field in get_message_fields(test_field) + for nested_field in get_message_fields(field) + ] + + subfields_not_in_runtime = [] + + # For each item in the sample request, create a list of sub fields which are not present at runtime + # Add `# pragma: NO COVER` because this test code will not run if all subfields are present at runtime + for field, value in request_init["dataset_schema"].items(): # pragma: NO COVER + result = None + is_repeated = False + # For repeated fields + if isinstance(value, list) and len(value): + is_repeated = True + result = value[0] + # For fields where the type is another message + if isinstance(value, dict): + result = value + + if result and hasattr(result, "keys"): + for subfield in result.keys(): + if (field, subfield) not in runtime_nested_fields: + subfields_not_in_runtime.append( + {"field": field, "subfield": subfield, "is_repeated": is_repeated} + ) + + # Remove fields from the sample request which are not present in the runtime version of the dependency + # Add `# pragma: NO COVER` because this test code will not run if all subfields are present at runtime + for subfield_to_delete in subfields_not_in_runtime: # pragma: NO COVER + field = subfield_to_delete.get("field") + field_repeated = subfield_to_delete.get("is_repeated") + subfield = subfield_to_delete.get("subfield") + if subfield: + if field_repeated: + for i in range(0, len(request_init["dataset_schema"][field])): + del request_init["dataset_schema"][field][i][subfield] + else: + del request_init["dataset_schema"][field][subfield] + request = request_type(**request_init) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = dataset.DatasetSchema( + name='name_value', + ) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = dataset.DatasetSchema.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + response = client.update_dataset_schema(request) + + # Establish that the response is the type that we expect. + assert isinstance(response, dataset.DatasetSchema) + assert response.name == 'name_value' + + +def test_update_dataset_schema_rest_required_fields(request_type=document_service.UpdateDatasetSchemaRequest): + transport_class = transports.DocumentServiceRestTransport + + request_init = {} + request = request_type(**request_init) + pb_request = request_type.pb(request) + jsonified_request = json.loads(json_format.MessageToJson( + pb_request, + use_integers_for_enums=False + )) + + # verify fields with default values are dropped + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).update_dataset_schema._get_unset_required_fields(jsonified_request) + jsonified_request.update(unset_fields) + + # verify required fields with default values are now present + + unset_fields = transport_class(credentials=ga_credentials.AnonymousCredentials()).update_dataset_schema._get_unset_required_fields(jsonified_request) + # Check that path parameters and body parameters are not mixing in. + assert not set(unset_fields) - set(("update_mask", )) + jsonified_request.update(unset_fields) + + # verify required fields with non-default values are left alone + + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + request = request_type(**request_init) + + # Designate an appropriate value for the returned response. + return_value = dataset.DatasetSchema() + # Mock the http request call within the method and fake a response. + with mock.patch.object(Session, 'request') as req: + # We need to mock transcode() because providing default values + # for required fields will fail the real version if the http_options + # expect actual values for those fields. + with mock.patch.object(path_template, 'transcode') as transcode: + # A uri without fields and an empty body will force all the + # request fields to show up in the query_params. + pb_request = request_type.pb(request) + transcode_result = { + 'uri': 'v1/sample_method', + 'method': "patch", + 'query_params': pb_request, + } + transcode_result['body'] = pb_request + transcode.return_value = transcode_result + + response_value = Response() + response_value.status_code = 200 + + # Convert return value to protobuf type + return_value = dataset.DatasetSchema.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.update_dataset_schema(request) + + expected_params = [ + ('$alt', 'json;enum-encoding=int') + ] + actual_params = req.call_args.kwargs['params'] + assert expected_params == actual_params + + +def test_update_dataset_schema_rest_unset_required_fields(): + transport = transports.DocumentServiceRestTransport(credentials=ga_credentials.AnonymousCredentials) + + unset_fields = transport.update_dataset_schema._get_unset_required_fields({}) + assert set(unset_fields) == (set(("updateMask", )) & set(("datasetSchema", ))) + + +@pytest.mark.parametrize("null_interceptor", [True, False]) +def test_update_dataset_schema_rest_interceptors(null_interceptor): + transport = transports.DocumentServiceRestTransport( + credentials=ga_credentials.AnonymousCredentials(), + interceptor=None if null_interceptor else transports.DocumentServiceRestInterceptor(), + ) + client = DocumentServiceClient(transport=transport) + with mock.patch.object(type(client.transport._session), "request") as req, \ + mock.patch.object(path_template, "transcode") as transcode, \ + mock.patch.object(transports.DocumentServiceRestInterceptor, "post_update_dataset_schema") as post, \ + mock.patch.object(transports.DocumentServiceRestInterceptor, "pre_update_dataset_schema") as pre: + pre.assert_not_called() + post.assert_not_called() + pb_message = document_service.UpdateDatasetSchemaRequest.pb(document_service.UpdateDatasetSchemaRequest()) + transcode.return_value = { + "method": "post", + "uri": "my_uri", + "body": pb_message, + "query_params": pb_message, + } + + req.return_value = Response() + req.return_value.status_code = 200 + req.return_value.request = PreparedRequest() + req.return_value._content = dataset.DatasetSchema.to_json(dataset.DatasetSchema()) + + request = document_service.UpdateDatasetSchemaRequest() + metadata =[ + ("key", "val"), + ("cephalopod", "squid"), + ] + pre.return_value = request, metadata + post.return_value = dataset.DatasetSchema() + + client.update_dataset_schema(request, metadata=[("key", "val"), ("cephalopod", "squid"),]) + + pre.assert_called_once() + post.assert_called_once() + + +def test_update_dataset_schema_rest_bad_request(transport: str = 'rest', request_type=document_service.UpdateDatasetSchemaRequest): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # send a request that will satisfy transcoding + request_init = {'dataset_schema': {'name': 'projects/sample1/locations/sample2/processors/sample3/dataset/datasetSchema'}} + request = request_type(**request_init) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.update_dataset_schema(request) + + +def test_update_dataset_schema_rest_flattened(): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = dataset.DatasetSchema() + + # get arguments that satisfy an http rule for this method + sample_request = {'dataset_schema': {'name': 'projects/sample1/locations/sample2/processors/sample3/dataset/datasetSchema'}} + + # get truthy value for each flattened field + mock_args = dict( + dataset_schema=dataset.DatasetSchema(name='name_value'), + update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), + ) + mock_args.update(sample_request) + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + # Convert return value to protobuf type + return_value = dataset.DatasetSchema.pb(return_value) + json_return_value = json_format.MessageToJson(return_value) + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + client.update_dataset_schema(**mock_args) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(req.mock_calls) == 1 + _, args, _ = req.mock_calls[0] + assert path_template.validate("%s/v1beta3/{dataset_schema.name=projects/*/locations/*/processors/*/dataset/datasetSchema}" % client.transport._host, args[1]) + + +def test_update_dataset_schema_rest_flattened_error(transport: str = 'rest'): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.update_dataset_schema( + document_service.UpdateDatasetSchemaRequest(), + dataset_schema=dataset.DatasetSchema(name='name_value'), + update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), + ) + + +def test_update_dataset_schema_rest_error(): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest' + ) + + +def test_credentials_transport_error(): + # It is an error to provide credentials and a transport instance. + transport = transports.DocumentServiceGrpcTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + with pytest.raises(ValueError): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # It is an error to provide a credentials file and a transport instance. + transport = transports.DocumentServiceGrpcTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + with pytest.raises(ValueError): + client = DocumentServiceClient( + client_options={"credentials_file": "credentials.json"}, + transport=transport, + ) + + # It is an error to provide an api_key and a transport instance. + transport = transports.DocumentServiceGrpcTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + options = client_options.ClientOptions() + options.api_key = "api_key" + with pytest.raises(ValueError): + client = DocumentServiceClient( + client_options=options, + transport=transport, + ) + + # It is an error to provide an api_key and a credential. + options = client_options.ClientOptions() + options.api_key = "api_key" + with pytest.raises(ValueError): + client = DocumentServiceClient( + client_options=options, + credentials=ga_credentials.AnonymousCredentials() + ) + + # It is an error to provide scopes and a transport instance. + transport = transports.DocumentServiceGrpcTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + with pytest.raises(ValueError): + client = DocumentServiceClient( + client_options={"scopes": ["1", "2"]}, + transport=transport, + ) + + +def test_transport_instance(): + # A client may be instantiated with a custom transport instance. + transport = transports.DocumentServiceGrpcTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + client = DocumentServiceClient(transport=transport) + assert client.transport is transport + +def test_transport_get_channel(): + # A client may be instantiated with a custom transport instance. + transport = transports.DocumentServiceGrpcTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + channel = transport.grpc_channel + assert channel + + transport = transports.DocumentServiceGrpcAsyncIOTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + channel = transport.grpc_channel + assert channel + +@pytest.mark.parametrize("transport_class", [ + transports.DocumentServiceGrpcTransport, + transports.DocumentServiceGrpcAsyncIOTransport, + transports.DocumentServiceRestTransport, +]) +def test_transport_adc(transport_class): + # Test default credentials are used if not provided. + with mock.patch.object(google.auth, 'default') as adc: + adc.return_value = (ga_credentials.AnonymousCredentials(), None) + transport_class() + adc.assert_called_once() + +@pytest.mark.parametrize("transport_name", [ + "grpc", + "rest", +]) +def test_transport_kind(transport_name): + transport = DocumentServiceClient.get_transport_class(transport_name)( + credentials=ga_credentials.AnonymousCredentials(), + ) + assert transport.kind == transport_name + +def test_transport_grpc_default(): + # A client should use the gRPC transport by default. + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + assert isinstance( + client.transport, + transports.DocumentServiceGrpcTransport, + ) + +def test_document_service_base_transport_error(): + # Passing both a credentials object and credentials_file should raise an error + with pytest.raises(core_exceptions.DuplicateCredentialArgs): + transport = transports.DocumentServiceTransport( + credentials=ga_credentials.AnonymousCredentials(), + credentials_file="credentials.json" + ) + + +def test_document_service_base_transport(): + # Instantiate the base transport. + with mock.patch('google.cloud.documentai_v1beta3.services.document_service.transports.DocumentServiceTransport.__init__') as Transport: + Transport.return_value = None + transport = transports.DocumentServiceTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Every method on the transport should just blindly + # raise NotImplementedError. + methods = ( + 'update_dataset', + 'import_documents', + 'get_document', + 'list_documents', + 'batch_delete_documents', + 'get_dataset_schema', + 'update_dataset_schema', + 'get_location', + 'list_locations', + 'get_operation', + 'cancel_operation', + 'list_operations', + ) + for method in methods: + with pytest.raises(NotImplementedError): + getattr(transport, method)(request=object()) + + with pytest.raises(NotImplementedError): + transport.close() + + # Additionally, the LRO client (a property) should + # also raise NotImplementedError + with pytest.raises(NotImplementedError): + transport.operations_client + + # Catch all for all remaining methods and properties + remainder = [ + 'kind', + ] + for r in remainder: + with pytest.raises(NotImplementedError): + getattr(transport, r)() + + +def test_document_service_base_transport_with_credentials_file(): + # Instantiate the base transport with a credentials file + with mock.patch.object(google.auth, 'load_credentials_from_file', autospec=True) as load_creds, mock.patch('google.cloud.documentai_v1beta3.services.document_service.transports.DocumentServiceTransport._prep_wrapped_messages') as Transport: + Transport.return_value = None + load_creds.return_value = (ga_credentials.AnonymousCredentials(), None) + transport = transports.DocumentServiceTransport( + credentials_file="credentials.json", + quota_project_id="octopus", + ) + load_creds.assert_called_once_with("credentials.json", + scopes=None, + default_scopes=( + 'https://www.googleapis.com/auth/cloud-platform', +), + quota_project_id="octopus", + ) + + +def test_document_service_base_transport_with_adc(): + # Test the default credentials are used if credentials and credentials_file are None. + with mock.patch.object(google.auth, 'default', autospec=True) as adc, mock.patch('google.cloud.documentai_v1beta3.services.document_service.transports.DocumentServiceTransport._prep_wrapped_messages') as Transport: + Transport.return_value = None + adc.return_value = (ga_credentials.AnonymousCredentials(), None) + transport = transports.DocumentServiceTransport() + adc.assert_called_once() + + +def test_document_service_auth_adc(): + # If no credentials are provided, we should use ADC credentials. + with mock.patch.object(google.auth, 'default', autospec=True) as adc: + adc.return_value = (ga_credentials.AnonymousCredentials(), None) + DocumentServiceClient() + adc.assert_called_once_with( + scopes=None, + default_scopes=( + 'https://www.googleapis.com/auth/cloud-platform', +), + quota_project_id=None, + ) + + +@pytest.mark.parametrize( + "transport_class", + [ + transports.DocumentServiceGrpcTransport, + transports.DocumentServiceGrpcAsyncIOTransport, + ], +) +def test_document_service_transport_auth_adc(transport_class): + # If credentials and host are not provided, the transport class should use + # ADC credentials. + with mock.patch.object(google.auth, 'default', autospec=True) as adc: + adc.return_value = (ga_credentials.AnonymousCredentials(), None) + transport_class(quota_project_id="octopus", scopes=["1", "2"]) + adc.assert_called_once_with( + scopes=["1", "2"], + default_scopes=( 'https://www.googleapis.com/auth/cloud-platform',), + quota_project_id="octopus", + ) + + +@pytest.mark.parametrize( + "transport_class", + [ + transports.DocumentServiceGrpcTransport, + transports.DocumentServiceGrpcAsyncIOTransport, + transports.DocumentServiceRestTransport, + ], +) +def test_document_service_transport_auth_gdch_credentials(transport_class): + host = 'https://language.com' + api_audience_tests = [None, 'https://language2.com'] + api_audience_expect = [host, 'https://language2.com'] + for t, e in zip(api_audience_tests, api_audience_expect): + with mock.patch.object(google.auth, 'default', autospec=True) as adc: + gdch_mock = mock.MagicMock() + type(gdch_mock).with_gdch_audience = mock.PropertyMock(return_value=gdch_mock) + adc.return_value = (gdch_mock, None) + transport_class(host=host, api_audience=t) + gdch_mock.with_gdch_audience.assert_called_once_with( + e + ) + + +@pytest.mark.parametrize( + "transport_class,grpc_helpers", + [ + (transports.DocumentServiceGrpcTransport, grpc_helpers), + (transports.DocumentServiceGrpcAsyncIOTransport, grpc_helpers_async) + ], +) +def test_document_service_transport_create_channel(transport_class, grpc_helpers): + # If credentials and host are not provided, the transport class should use + # ADC credentials. + with mock.patch.object(google.auth, "default", autospec=True) as adc, mock.patch.object( + grpc_helpers, "create_channel", autospec=True + ) as create_channel: + creds = ga_credentials.AnonymousCredentials() + adc.return_value = (creds, None) + transport_class( + quota_project_id="octopus", + scopes=["1", "2"] + ) + + create_channel.assert_called_with( + "documentai.googleapis.com:443", + credentials=creds, + credentials_file=None, + quota_project_id="octopus", + default_scopes=( + 'https://www.googleapis.com/auth/cloud-platform', +), + scopes=["1", "2"], + default_host="documentai.googleapis.com", + ssl_credentials=None, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + +@pytest.mark.parametrize("transport_class", [transports.DocumentServiceGrpcTransport, transports.DocumentServiceGrpcAsyncIOTransport]) +def test_document_service_grpc_transport_client_cert_source_for_mtls( + transport_class +): + cred = ga_credentials.AnonymousCredentials() + + # Check ssl_channel_credentials is used if provided. + with mock.patch.object(transport_class, "create_channel") as mock_create_channel: + mock_ssl_channel_creds = mock.Mock() + transport_class( + host="squid.clam.whelk", + credentials=cred, + ssl_channel_credentials=mock_ssl_channel_creds + ) + mock_create_channel.assert_called_once_with( + "squid.clam.whelk:443", + credentials=cred, + credentials_file=None, + scopes=None, + ssl_credentials=mock_ssl_channel_creds, + quota_project_id=None, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + # Check if ssl_channel_credentials is not provided, then client_cert_source_for_mtls + # is used. + with mock.patch.object(transport_class, "create_channel", return_value=mock.Mock()): + with mock.patch("grpc.ssl_channel_credentials") as mock_ssl_cred: + transport_class( + credentials=cred, + client_cert_source_for_mtls=client_cert_source_callback + ) + expected_cert, expected_key = client_cert_source_callback() + mock_ssl_cred.assert_called_once_with( + certificate_chain=expected_cert, + private_key=expected_key + ) + +def test_document_service_http_transport_client_cert_source_for_mtls(): + cred = ga_credentials.AnonymousCredentials() + with mock.patch("google.auth.transport.requests.AuthorizedSession.configure_mtls_channel") as mock_configure_mtls_channel: + transports.DocumentServiceRestTransport ( + credentials=cred, + client_cert_source_for_mtls=client_cert_source_callback + ) + mock_configure_mtls_channel.assert_called_once_with(client_cert_source_callback) + + +def test_document_service_rest_lro_client(): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='rest', + ) + transport = client.transport + + # Ensure that we have a api-core operations client. + assert isinstance( + transport.operations_client, + operations_v1.AbstractOperationsClient, + ) + + # Ensure that subsequent calls to the property send the exact same object. + assert transport.operations_client is transport.operations_client + + +@pytest.mark.parametrize("transport_name", [ + "grpc", + "grpc_asyncio", + "rest", +]) +def test_document_service_host_no_port(transport_name): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + client_options=client_options.ClientOptions(api_endpoint='documentai.googleapis.com'), + transport=transport_name, + ) + assert client.transport._host == ( + 'documentai.googleapis.com:443' + if transport_name in ['grpc', 'grpc_asyncio'] + else 'https://documentai.googleapis.com' + ) + +@pytest.mark.parametrize("transport_name", [ + "grpc", + "grpc_asyncio", + "rest", +]) +def test_document_service_host_with_port(transport_name): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + client_options=client_options.ClientOptions(api_endpoint='documentai.googleapis.com:8000'), + transport=transport_name, + ) + assert client.transport._host == ( + 'documentai.googleapis.com:8000' + if transport_name in ['grpc', 'grpc_asyncio'] + else 'https://documentai.googleapis.com:8000' + ) + +@pytest.mark.parametrize("transport_name", [ + "rest", +]) +def test_document_service_client_transport_session_collision(transport_name): + creds1 = ga_credentials.AnonymousCredentials() + creds2 = ga_credentials.AnonymousCredentials() + client1 = DocumentServiceClient( + credentials=creds1, + transport=transport_name, + ) + client2 = DocumentServiceClient( + credentials=creds2, + transport=transport_name, + ) + session1 = client1.transport.update_dataset._session + session2 = client2.transport.update_dataset._session + assert session1 != session2 + session1 = client1.transport.import_documents._session + session2 = client2.transport.import_documents._session + assert session1 != session2 + session1 = client1.transport.get_document._session + session2 = client2.transport.get_document._session + assert session1 != session2 + session1 = client1.transport.list_documents._session + session2 = client2.transport.list_documents._session + assert session1 != session2 + session1 = client1.transport.batch_delete_documents._session + session2 = client2.transport.batch_delete_documents._session + assert session1 != session2 + session1 = client1.transport.get_dataset_schema._session + session2 = client2.transport.get_dataset_schema._session + assert session1 != session2 + session1 = client1.transport.update_dataset_schema._session + session2 = client2.transport.update_dataset_schema._session + assert session1 != session2 +def test_document_service_grpc_transport_channel(): + channel = grpc.secure_channel('http://localhost/', grpc.local_channel_credentials()) + + # Check that channel is used if provided. + transport = transports.DocumentServiceGrpcTransport( + host="squid.clam.whelk", + channel=channel, + ) + assert transport.grpc_channel == channel + assert transport._host == "squid.clam.whelk:443" + assert transport._ssl_channel_credentials == None + + +def test_document_service_grpc_asyncio_transport_channel(): + channel = aio.secure_channel('http://localhost/', grpc.local_channel_credentials()) + + # Check that channel is used if provided. + transport = transports.DocumentServiceGrpcAsyncIOTransport( + host="squid.clam.whelk", + channel=channel, + ) + assert transport.grpc_channel == channel + assert transport._host == "squid.clam.whelk:443" + assert transport._ssl_channel_credentials == None + + +# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are +# removed from grpc/grpc_asyncio transport constructor. +@pytest.mark.parametrize("transport_class", [transports.DocumentServiceGrpcTransport, transports.DocumentServiceGrpcAsyncIOTransport]) +def test_document_service_transport_channel_mtls_with_client_cert_source( + transport_class +): + with mock.patch("grpc.ssl_channel_credentials", autospec=True) as grpc_ssl_channel_cred: + with mock.patch.object(transport_class, "create_channel") as grpc_create_channel: + mock_ssl_cred = mock.Mock() + grpc_ssl_channel_cred.return_value = mock_ssl_cred + + mock_grpc_channel = mock.Mock() + grpc_create_channel.return_value = mock_grpc_channel + + cred = ga_credentials.AnonymousCredentials() + with pytest.warns(DeprecationWarning): + with mock.patch.object(google.auth, 'default') as adc: + adc.return_value = (cred, None) + transport = transport_class( + host="squid.clam.whelk", + api_mtls_endpoint="mtls.squid.clam.whelk", + client_cert_source=client_cert_source_callback, + ) + adc.assert_called_once() + + grpc_ssl_channel_cred.assert_called_once_with( + certificate_chain=b"cert bytes", private_key=b"key bytes" + ) + grpc_create_channel.assert_called_once_with( + "mtls.squid.clam.whelk:443", + credentials=cred, + credentials_file=None, + scopes=None, + ssl_credentials=mock_ssl_cred, + quota_project_id=None, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + assert transport.grpc_channel == mock_grpc_channel + assert transport._ssl_channel_credentials == mock_ssl_cred + + +# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are +# removed from grpc/grpc_asyncio transport constructor. +@pytest.mark.parametrize("transport_class", [transports.DocumentServiceGrpcTransport, transports.DocumentServiceGrpcAsyncIOTransport]) +def test_document_service_transport_channel_mtls_with_adc( + transport_class +): + mock_ssl_cred = mock.Mock() + with mock.patch.multiple( + "google.auth.transport.grpc.SslCredentials", + __init__=mock.Mock(return_value=None), + ssl_credentials=mock.PropertyMock(return_value=mock_ssl_cred), + ): + with mock.patch.object(transport_class, "create_channel") as grpc_create_channel: + mock_grpc_channel = mock.Mock() + grpc_create_channel.return_value = mock_grpc_channel + mock_cred = mock.Mock() + + with pytest.warns(DeprecationWarning): + transport = transport_class( + host="squid.clam.whelk", + credentials=mock_cred, + api_mtls_endpoint="mtls.squid.clam.whelk", + client_cert_source=None, + ) + + grpc_create_channel.assert_called_once_with( + "mtls.squid.clam.whelk:443", + credentials=mock_cred, + credentials_file=None, + scopes=None, + ssl_credentials=mock_ssl_cred, + quota_project_id=None, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + assert transport.grpc_channel == mock_grpc_channel + + +def test_document_service_grpc_lro_client(): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + transport = client.transport + + # Ensure that we have a api-core operations client. + assert isinstance( + transport.operations_client, + operations_v1.OperationsClient, + ) + + # Ensure that subsequent calls to the property send the exact same object. + assert transport.operations_client is transport.operations_client + + +def test_document_service_grpc_lro_async_client(): + client = DocumentServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc_asyncio', + ) + transport = client.transport + + # Ensure that we have a api-core operations client. + assert isinstance( + transport.operations_client, + operations_v1.OperationsAsyncClient, + ) + + # Ensure that subsequent calls to the property send the exact same object. + assert transport.operations_client is transport.operations_client + + +def test_dataset_path(): + project = "squid" + location = "clam" + processor = "whelk" + expected = "projects/{project}/locations/{location}/processors/{processor}/dataset".format(project=project, location=location, processor=processor, ) + actual = DocumentServiceClient.dataset_path(project, location, processor) + assert expected == actual + + +def test_parse_dataset_path(): + expected = { + "project": "octopus", + "location": "oyster", + "processor": "nudibranch", + } + path = DocumentServiceClient.dataset_path(**expected) + + # Check that the path construction is reversible. + actual = DocumentServiceClient.parse_dataset_path(path) + assert expected == actual + +def test_dataset_schema_path(): + project = "cuttlefish" + location = "mussel" + processor = "winkle" + expected = "projects/{project}/locations/{location}/processors/{processor}/dataset/datasetSchema".format(project=project, location=location, processor=processor, ) + actual = DocumentServiceClient.dataset_schema_path(project, location, processor) + assert expected == actual + + +def test_parse_dataset_schema_path(): + expected = { + "project": "nautilus", + "location": "scallop", + "processor": "abalone", + } + path = DocumentServiceClient.dataset_schema_path(**expected) + + # Check that the path construction is reversible. + actual = DocumentServiceClient.parse_dataset_schema_path(path) + assert expected == actual + +def test_schema_path(): + project = "squid" + location = "clam" + schema = "whelk" + expected = "projects/{project}/locations/{location}/schemas/{schema}".format(project=project, location=location, schema=schema, ) + actual = DocumentServiceClient.schema_path(project, location, schema) + assert expected == actual + + +def test_parse_schema_path(): + expected = { + "project": "octopus", + "location": "oyster", + "schema": "nudibranch", + } + path = DocumentServiceClient.schema_path(**expected) + + # Check that the path construction is reversible. + actual = DocumentServiceClient.parse_schema_path(path) + assert expected == actual + +def test_common_billing_account_path(): + billing_account = "cuttlefish" + expected = "billingAccounts/{billing_account}".format(billing_account=billing_account, ) + actual = DocumentServiceClient.common_billing_account_path(billing_account) + assert expected == actual + + +def test_parse_common_billing_account_path(): + expected = { + "billing_account": "mussel", + } + path = DocumentServiceClient.common_billing_account_path(**expected) + + # Check that the path construction is reversible. + actual = DocumentServiceClient.parse_common_billing_account_path(path) + assert expected == actual + +def test_common_folder_path(): + folder = "winkle" + expected = "folders/{folder}".format(folder=folder, ) + actual = DocumentServiceClient.common_folder_path(folder) + assert expected == actual + + +def test_parse_common_folder_path(): + expected = { + "folder": "nautilus", + } + path = DocumentServiceClient.common_folder_path(**expected) + + # Check that the path construction is reversible. + actual = DocumentServiceClient.parse_common_folder_path(path) + assert expected == actual + +def test_common_organization_path(): + organization = "scallop" + expected = "organizations/{organization}".format(organization=organization, ) + actual = DocumentServiceClient.common_organization_path(organization) + assert expected == actual + + +def test_parse_common_organization_path(): + expected = { + "organization": "abalone", + } + path = DocumentServiceClient.common_organization_path(**expected) + + # Check that the path construction is reversible. + actual = DocumentServiceClient.parse_common_organization_path(path) + assert expected == actual + +def test_common_project_path(): + project = "squid" + expected = "projects/{project}".format(project=project, ) + actual = DocumentServiceClient.common_project_path(project) + assert expected == actual + + +def test_parse_common_project_path(): + expected = { + "project": "clam", + } + path = DocumentServiceClient.common_project_path(**expected) + + # Check that the path construction is reversible. + actual = DocumentServiceClient.parse_common_project_path(path) + assert expected == actual + +def test_common_location_path(): + project = "whelk" + location = "octopus" + expected = "projects/{project}/locations/{location}".format(project=project, location=location, ) + actual = DocumentServiceClient.common_location_path(project, location) + assert expected == actual + + +def test_parse_common_location_path(): + expected = { + "project": "oyster", + "location": "nudibranch", + } + path = DocumentServiceClient.common_location_path(**expected) + + # Check that the path construction is reversible. + actual = DocumentServiceClient.parse_common_location_path(path) + assert expected == actual + + +def test_client_with_default_client_info(): + client_info = gapic_v1.client_info.ClientInfo() + + with mock.patch.object(transports.DocumentServiceTransport, '_prep_wrapped_messages') as prep: + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + client_info=client_info, + ) + prep.assert_called_once_with(client_info) + + with mock.patch.object(transports.DocumentServiceTransport, '_prep_wrapped_messages') as prep: + transport_class = DocumentServiceClient.get_transport_class() + transport = transport_class( + credentials=ga_credentials.AnonymousCredentials(), + client_info=client_info, + ) + prep.assert_called_once_with(client_info) + +@pytest.mark.asyncio +async def test_transport_close_async(): + client = DocumentServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="grpc_asyncio", + ) + with mock.patch.object(type(getattr(client.transport, "grpc_channel")), "close") as close: + async with client: + close.assert_not_called() + close.assert_called_once() + + +def test_get_location_rest_bad_request(transport: str = 'rest', request_type=locations_pb2.GetLocationRequest): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + request = request_type() + request = json_format.ParseDict({'name': 'projects/sample1/locations/sample2'}, request) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.get_location(request) + +@pytest.mark.parametrize("request_type", [ + locations_pb2.GetLocationRequest, + dict, +]) +def test_get_location_rest(request_type): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + request_init = {'name': 'projects/sample1/locations/sample2'} + request = request_type(**request_init) + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = locations_pb2.Location() + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.get_location(request) + + # Establish that the response is the type that we expect. + assert isinstance(response, locations_pb2.Location) + +def test_list_locations_rest_bad_request(transport: str = 'rest', request_type=locations_pb2.ListLocationsRequest): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + request = request_type() + request = json_format.ParseDict({'name': 'projects/sample1'}, request) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.list_locations(request) + +@pytest.mark.parametrize("request_type", [ + locations_pb2.ListLocationsRequest, + dict, +]) +def test_list_locations_rest(request_type): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + request_init = {'name': 'projects/sample1'} + request = request_type(**request_init) + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = locations_pb2.ListLocationsResponse() + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.list_locations(request) + + # Establish that the response is the type that we expect. + assert isinstance(response, locations_pb2.ListLocationsResponse) + +def test_cancel_operation_rest_bad_request(transport: str = 'rest', request_type=operations_pb2.CancelOperationRequest): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + request = request_type() + request = json_format.ParseDict({'name': 'projects/sample1/locations/sample2/operations/sample3'}, request) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.cancel_operation(request) + +@pytest.mark.parametrize("request_type", [ + operations_pb2.CancelOperationRequest, + dict, +]) +def test_cancel_operation_rest(request_type): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + request_init = {'name': 'projects/sample1/locations/sample2/operations/sample3'} + request = request_type(**request_init) + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = None + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = '{}' + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.cancel_operation(request) + + # Establish that the response is the type that we expect. + assert response is None + +def test_get_operation_rest_bad_request(transport: str = 'rest', request_type=operations_pb2.GetOperationRequest): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + request = request_type() + request = json_format.ParseDict({'name': 'projects/sample1/locations/sample2/operations/sample3'}, request) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.get_operation(request) + +@pytest.mark.parametrize("request_type", [ + operations_pb2.GetOperationRequest, + dict, +]) +def test_get_operation_rest(request_type): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + request_init = {'name': 'projects/sample1/locations/sample2/operations/sample3'} + request = request_type(**request_init) + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.Operation() + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.get_operation(request) + + # Establish that the response is the type that we expect. + assert isinstance(response, operations_pb2.Operation) + +def test_list_operations_rest_bad_request(transport: str = 'rest', request_type=operations_pb2.ListOperationsRequest): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + request = request_type() + request = json_format.ParseDict({'name': 'projects/sample1/locations/sample2/operations'}, request) + + # Mock the http request call within the method and fake a BadRequest error. + with mock.patch.object(Session, 'request') as req, pytest.raises(core_exceptions.BadRequest): + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 400 + response_value.request = Request() + req.return_value = response_value + client.list_operations(request) + +@pytest.mark.parametrize("request_type", [ + operations_pb2.ListOperationsRequest, + dict, +]) +def test_list_operations_rest(request_type): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="rest", + ) + request_init = {'name': 'projects/sample1/locations/sample2/operations'} + request = request_type(**request_init) + # Mock the http request call within the method and fake a response. + with mock.patch.object(type(client.transport._session), 'request') as req: + # Designate an appropriate value for the returned response. + return_value = operations_pb2.ListOperationsResponse() + + # Wrap the value into a proper Response obj + response_value = Response() + response_value.status_code = 200 + json_return_value = json_format.MessageToJson(return_value) + + response_value._content = json_return_value.encode('UTF-8') + req.return_value = response_value + + response = client.list_operations(request) + + # Establish that the response is the type that we expect. + assert isinstance(response, operations_pb2.ListOperationsResponse) + + +def test_cancel_operation(transport: str = "grpc"): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = operations_pb2.CancelOperationRequest() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = None + response = client.cancel_operation(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the response is the type that we expect. + assert response is None +@pytest.mark.asyncio +async def test_cancel_operation_async(transport: str = "grpc_asyncio"): + client = DocumentServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = operations_pb2.CancelOperationRequest() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + None + ) + response = await client.cancel_operation(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the response is the type that we expect. + assert response is None + +def test_cancel_operation_field_headers(): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = operations_pb2.CancelOperationRequest() + request.name = "locations" + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call: + call.return_value = None + + client.cancel_operation(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ("x-goog-request-params", "name=locations",) in kw["metadata"] +@pytest.mark.asyncio +async def test_cancel_operation_field_headers_async(): + client = DocumentServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = operations_pb2.CancelOperationRequest() + request.name = "locations" + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + None + ) + await client.cancel_operation(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ("x-goog-request-params", "name=locations",) in kw["metadata"] + +def test_cancel_operation_from_dict(): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = None + + response = client.cancel_operation( + request={ + "name": "locations", + } + ) + call.assert_called() +@pytest.mark.asyncio +async def test_cancel_operation_from_dict_async(): + client = DocumentServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + None + ) + response = await client.cancel_operation( + request={ + "name": "locations", + } + ) + call.assert_called() + + +def test_get_operation(transport: str = "grpc"): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = operations_pb2.GetOperationRequest() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.get_operation), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation() + response = client.get_operation(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the response is the type that we expect. + assert isinstance(response, operations_pb2.Operation) +@pytest.mark.asyncio +async def test_get_operation_async(transport: str = "grpc_asyncio"): + client = DocumentServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = operations_pb2.GetOperationRequest() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.get_operation), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation() + ) + response = await client.get_operation(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the response is the type that we expect. + assert isinstance(response, operations_pb2.Operation) + +def test_get_operation_field_headers(): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = operations_pb2.GetOperationRequest() + request.name = "locations" + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.get_operation), "__call__") as call: + call.return_value = operations_pb2.Operation() + + client.get_operation(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ("x-goog-request-params", "name=locations",) in kw["metadata"] +@pytest.mark.asyncio +async def test_get_operation_field_headers_async(): + client = DocumentServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = operations_pb2.GetOperationRequest() + request.name = "locations" + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.get_operation), "__call__") as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation() + ) + await client.get_operation(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ("x-goog-request-params", "name=locations",) in kw["metadata"] + +def test_get_operation_from_dict(): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.get_operation), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation() + + response = client.get_operation( + request={ + "name": "locations", + } + ) + call.assert_called() +@pytest.mark.asyncio +async def test_get_operation_from_dict_async(): + client = DocumentServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.get_operation), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation() + ) + response = await client.get_operation( + request={ + "name": "locations", + } + ) + call.assert_called() + + +def test_list_operations(transport: str = "grpc"): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = operations_pb2.ListOperationsRequest() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_operations), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.ListOperationsResponse() + response = client.list_operations(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the response is the type that we expect. + assert isinstance(response, operations_pb2.ListOperationsResponse) +@pytest.mark.asyncio +async def test_list_operations_async(transport: str = "grpc_asyncio"): + client = DocumentServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = operations_pb2.ListOperationsRequest() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_operations), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.ListOperationsResponse() + ) + response = await client.list_operations(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the response is the type that we expect. + assert isinstance(response, operations_pb2.ListOperationsResponse) + +def test_list_operations_field_headers(): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = operations_pb2.ListOperationsRequest() + request.name = "locations" + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_operations), "__call__") as call: + call.return_value = operations_pb2.ListOperationsResponse() + + client.list_operations(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ("x-goog-request-params", "name=locations",) in kw["metadata"] +@pytest.mark.asyncio +async def test_list_operations_field_headers_async(): + client = DocumentServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = operations_pb2.ListOperationsRequest() + request.name = "locations" + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_operations), "__call__") as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.ListOperationsResponse() + ) + await client.list_operations(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ("x-goog-request-params", "name=locations",) in kw["metadata"] + +def test_list_operations_from_dict(): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_operations), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.ListOperationsResponse() + + response = client.list_operations( + request={ + "name": "locations", + } + ) + call.assert_called() +@pytest.mark.asyncio +async def test_list_operations_from_dict_async(): + client = DocumentServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_operations), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.ListOperationsResponse() + ) + response = await client.list_operations( + request={ + "name": "locations", + } + ) + call.assert_called() + + +def test_list_locations(transport: str = "grpc"): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = locations_pb2.ListLocationsRequest() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_locations), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = locations_pb2.ListLocationsResponse() + response = client.list_locations(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the response is the type that we expect. + assert isinstance(response, locations_pb2.ListLocationsResponse) +@pytest.mark.asyncio +async def test_list_locations_async(transport: str = "grpc_asyncio"): + client = DocumentServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = locations_pb2.ListLocationsRequest() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_locations), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + locations_pb2.ListLocationsResponse() + ) + response = await client.list_locations(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the response is the type that we expect. + assert isinstance(response, locations_pb2.ListLocationsResponse) + +def test_list_locations_field_headers(): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = locations_pb2.ListLocationsRequest() + request.name = "locations" + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_locations), "__call__") as call: + call.return_value = locations_pb2.ListLocationsResponse() + + client.list_locations(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ("x-goog-request-params", "name=locations",) in kw["metadata"] +@pytest.mark.asyncio +async def test_list_locations_field_headers_async(): + client = DocumentServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = locations_pb2.ListLocationsRequest() + request.name = "locations" + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_locations), "__call__") as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + locations_pb2.ListLocationsResponse() + ) + await client.list_locations(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ("x-goog-request-params", "name=locations",) in kw["metadata"] + +def test_list_locations_from_dict(): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_locations), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = locations_pb2.ListLocationsResponse() + + response = client.list_locations( + request={ + "name": "locations", + } + ) + call.assert_called() +@pytest.mark.asyncio +async def test_list_locations_from_dict_async(): + client = DocumentServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_locations), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + locations_pb2.ListLocationsResponse() + ) + response = await client.list_locations( + request={ + "name": "locations", + } + ) + call.assert_called() + + +def test_get_location(transport: str = "grpc"): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = locations_pb2.GetLocationRequest() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.get_location), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = locations_pb2.Location() + response = client.get_location(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the response is the type that we expect. + assert isinstance(response, locations_pb2.Location) +@pytest.mark.asyncio +async def test_get_location_async(transport: str = "grpc_asyncio"): + client = DocumentServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = locations_pb2.GetLocationRequest() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.get_location), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + locations_pb2.Location() + ) + response = await client.get_location(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the response is the type that we expect. + assert isinstance(response, locations_pb2.Location) + +def test_get_location_field_headers(): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials()) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = locations_pb2.GetLocationRequest() + request.name = "locations/abc" + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.get_location), "__call__") as call: + call.return_value = locations_pb2.Location() + + client.get_location(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ("x-goog-request-params", "name=locations/abc",) in kw["metadata"] +@pytest.mark.asyncio +async def test_get_location_field_headers_async(): + client = DocumentServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials() + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = locations_pb2.GetLocationRequest() + request.name = "locations/abc" + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.get_location), "__call__") as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + locations_pb2.Location() + ) + await client.get_location(request) + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ("x-goog-request-params", "name=locations/abc",) in kw["metadata"] + +def test_get_location_from_dict(): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_locations), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = locations_pb2.Location() + + response = client.get_location( + request={ + "name": "locations/abc", + } + ) + call.assert_called() +@pytest.mark.asyncio +async def test_get_location_from_dict_async(): + client = DocumentServiceAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object(type(client.transport.list_locations), "__call__") as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + locations_pb2.Location() + ) + response = await client.get_location( + request={ + "name": "locations", + } + ) + call.assert_called() + + +def test_transport_close(): + transports = { + "rest": "_session", + "grpc": "_grpc_channel", + } + + for transport, close_name in transports.items(): + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport + ) + with mock.patch.object(type(getattr(client.transport, close_name)), "close") as close: + with client: + close.assert_not_called() + close.assert_called_once() + +def test_client_ctx(): + transports = [ + 'rest', + 'grpc', + ] + for transport in transports: + client = DocumentServiceClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport + ) + # Test client calls underlying transport. + with mock.patch.object(type(client.transport), "close") as close: + close.assert_not_called() + with client: + pass + close.assert_called() + +@pytest.mark.parametrize("client_class,transport_class", [ + (DocumentServiceClient, transports.DocumentServiceGrpcTransport), + (DocumentServiceAsyncClient, transports.DocumentServiceGrpcAsyncIOTransport), +]) +def test_api_key_credentials(client_class, transport_class): + with mock.patch.object( + google.auth._default, "get_api_key_credentials", create=True + ) as get_api_key_credentials: + mock_cred = mock.Mock() + get_api_key_credentials.return_value = mock_cred + options = client_options.ClientOptions() + options.api_key = "api_key" + with mock.patch.object(transport_class, "__init__") as patched: + patched.return_value = None + client = client_class(client_options=options) + patched.assert_called_once_with( + credentials=mock_cred, + credentials_file=None, + host=client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=client._DEFAULT_UNIVERSE), + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + )