Merge branch 'main' into patch-1

CHANGELOG.md

@@ -1,6 +1,28 @@
 # Changelog
 
 
+## [1.19.0](https://github.com/googleapis/python-aiplatform/compare/v1.18.3...v1.19.0) (2022-11-17)
+
+
+### Features
+
+* Add Feature Store: Streaming Ingestion (write_feature_values()) and introduce Preview namespace to Vertex SDK ([bae0315](https://github.com/googleapis/python-aiplatform/commit/bae03158c06865d1b61c06a1c8af64e876ce76dd))
+* Add bq_dataset_id parameter to batch_serve_to_df ([bb72562](https://github.com/googleapis/python-aiplatform/commit/bb72562f4515b6ace73a735477584ca0b5a30f58))
+* Add annotation_labels to ImportDataConfig in aiplatform v1 dataset.proto ([43e2805](https://github.com/googleapis/python-aiplatform/commit/43e28052d798c380de6e102edbe257a0100738cd))
+* Add support for ordery_by in Metadata SDK list methods for Artifact, Execution and Context. ([2377606](https://github.com/googleapis/python-aiplatform/commit/23776066909b5b7f77f704722d2719e1a1733ad4))
+* Support global network parameter. ([c7f57ad](https://github.com/googleapis/python-aiplatform/commit/c7f57ad505b7251b9c663538e2312998445db691))
+
+
+### Bug Fixes
+
+* Correct data file gcs path for import_data_text_sentiment_analysis_sample test ([86df4b5](https://github.com/googleapis/python-aiplatform/commit/86df4b5d79118caf8f45c3845c92afe6585c24e9))
+* Print error for schema classes ([13e2165](https://github.com/googleapis/python-aiplatform/commit/13e216518f20a32c7e18e6ea5b497a5fcb1d77a0))
+
+
+### Documentation
+
+* Update README with new link for AI Platform API ([35b83d9](https://github.com/googleapis/python-aiplatform/commit/35b83d90649ec396b736469278def4aaaf80621e))
+
 ## [1.18.3](https://github.com/googleapis/python-aiplatform/compare/v1.18.2...v1.18.3) (2022-11-01)
 
 

google/cloud/aiplatform/_pipeline_based_service/pipeline_based_service.py

@@ -391,13 +391,21 @@ def list(
 
         for pipeline_execution in filtered_pipeline_executions:
             if "pipeline_job_resource_name" in pipeline_execution.metadata:
-                service_pipeline_job = cls(
-                    pipeline_execution.metadata["pipeline_job_resource_name"],
-                    project=project,
-                    location=location,
-                    credentials=credentials,
-                )
-                service_pipeline_jobs.append(service_pipeline_job)
+                # This is wrapped in a try/except for cases when both
+                # `_coponent_identifier` and `_template_name_identifier` are
+                # set. In that case, even though all pipelines returned by the
+                # Execution.list() call will match the `_component_identifier`,
+                #  some may not match the `_template_name_identifier`
+                try:
+                    service_pipeline_job = cls(
+                        pipeline_execution.metadata["pipeline_job_resource_name"],
+                        project=project,
+                        location=location,
+                        credentials=credentials,
+                    )
+                    service_pipeline_jobs.append(service_pipeline_job)
+                except ValueError:
+                    continue
 
         return service_pipeline_jobs
 

google/cloud/aiplatform/constants/prediction.py

@@ -1,4 +1,4 @@
-# Copyright 2021 Google LLC
+# Copyright 2022 Google LLC
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -79,6 +79,12 @@
 ]
 
 TF_CONTAINER_URIS = [
+    "us-docker.pkg.dev/vertex-ai/prediction/tf2-cpu.2-10:latest",
+    "europe-docker.pkg.dev/vertex-ai/prediction/tf2-cpu.2-10:latest",
+    "asia-docker.pkg.dev/vertex-ai/prediction/tf2-cpu.2-10:latest",
+    "us-docker.pkg.dev/vertex-ai/prediction/tf2-gpu.2-10:latest",
+    "europe-docker.pkg.dev/vertex-ai/prediction/tf2-gpu.2-10:latest",
+    "asia-docker.pkg.dev/vertex-ai/prediction/tf2-gpu.2-10:latest",
     "us-docker.pkg.dev/vertex-ai/prediction/tf2-cpu.2-9:latest",
     "europe-docker.pkg.dev/vertex-ai/prediction/tf2-cpu.2-9:latest",
     "asia-docker.pkg.dev/vertex-ai/prediction/tf2-cpu.2-9:latest",
@@ -130,6 +136,9 @@
     "us-docker.pkg.dev/vertex-ai/prediction/tf2-cpu.2-1:latest",
     "europe-docker.pkg.dev/vertex-ai/prediction/tf2-cpu.2-1:latest",
     "asia-docker.pkg.dev/vertex-ai/prediction/tf2-cpu.2-1:latest",
+    "us-docker.pkg.dev/vertex-ai/prediction/tf2-gpu.2-1:latest",
+    "europe-docker.pkg.dev/vertex-ai/prediction/tf2-gpu.2-1:latest",
+    "asia-docker.pkg.dev/vertex-ai/prediction/tf2-gpu.2-1:latest",
     "us-docker.pkg.dev/vertex-ai/prediction/tf-cpu.1-15:latest",
     "europe-docker.pkg.dev/vertex-ai/prediction/tf-cpu.1-15:latest",
     "asia-docker.pkg.dev/vertex-ai/prediction/tf-cpu.1-15:latest",

google/cloud/aiplatform/training_utils/cloud_profiler/plugins/tensorflow/tf_profiler.py

@@ -17,11 +17,15 @@
 
 """A plugin to handle remote tensoflow profiler sessions for Vertex AI."""
 
-from google.cloud.aiplatform.training_utils.cloud_profiler import cloud_profiler_utils
+from google.cloud.aiplatform.training_utils.cloud_profiler import (
+    cloud_profiler_utils,
+)
 
 try:
     import tensorflow as tf
-    from tensorboard_plugin_profile.profile_plugin import ProfilePlugin
+    from tensorboard_plugin_profile.profile_plugin import (
+        ProfilePlugin,
+    )
 except ImportError as err:
     raise ImportError(cloud_profiler_utils.import_error_msg) from err
 
@@ -36,10 +40,14 @@
 import tensorboard.plugins.base_plugin as tensorboard_base_plugin
 from werkzeug import Response
 
-from google.cloud.aiplatform.tensorboard.plugins.tf_profiler import profile_uploader
+from google.cloud.aiplatform.tensorboard.plugins.tf_profiler import (
+    profile_uploader,
+)
 from google.cloud.aiplatform.training_utils import environment_variables
 from google.cloud.aiplatform.training_utils.cloud_profiler import wsgi_types
-from google.cloud.aiplatform.training_utils.cloud_profiler.plugins import base_plugin
+from google.cloud.aiplatform.training_utils.cloud_profiler.plugins import (
+    base_plugin,
+)
 from google.cloud.aiplatform.training_utils.cloud_profiler.plugins.tensorflow import (
     tensorboard_api,
 )
@@ -68,8 +76,7 @@ def _get_tf_versioning() -> Optional[Version]:
     versioning = version.split(".")
     if len(versioning) != 3:
         return
-
-    return Version(int(versioning[0]), int(versioning[1]), int(versioning[2]))
+    return Version(int(versioning[0]), int(versioning[1]), versioning[2])
 
 
 def _is_compatible_version(version: Version) -> bool:
@@ -228,7 +235,7 @@ def warn_tensorboard_env_var(var_name: str):
             Required. The name of the missing environment variable.
     """
     logging.warning(
-        f"Environment variable `{var_name}` must be set. " + _BASE_TB_ENV_WARNING
+        "Environment variable `%s` must be set. %s", var_name, _BASE_TB_ENV_WARNING
     )
 
 

google/cloud/aiplatform/version.py

@@ -15,4 +15,4 @@
 # limitations under the License.
 #
 
-__version__ = "1.18.3"
+__version__ = "1.19.0"

tests/unit/aiplatform/test_cloud_profiler.py

@@ -31,8 +31,12 @@
 from google.api_core import exceptions
 from google.cloud import aiplatform
 from google.cloud.aiplatform import training_utils
-from google.cloud.aiplatform.tensorboard.plugins.tf_profiler import profile_uploader
-from google.cloud.aiplatform.training_utils.cloud_profiler.plugins import base_plugin
+from google.cloud.aiplatform.tensorboard.plugins.tf_profiler import (
+    profile_uploader,
+)
+from google.cloud.aiplatform.training_utils.cloud_profiler.plugins import (
+    base_plugin,
+)
 from google.cloud.aiplatform.training_utils.cloud_profiler.plugins.tensorflow import (
     tf_profiler,
 )
@@ -175,15 +179,21 @@ def tf_import_mock(name, *args, **kwargs):
     def testCanInitializeTFVersion(self):
         import tensorflow
 
-        with mock.patch.object(tensorflow, "__version__", return_value="1.2.3.4"):
+        with mock.patch.object(tensorflow, "__version__", "1.2.3.4"):
             assert not TFProfiler.can_initialize()
 
     def testCanInitializeOldTFVersion(self):
         import tensorflow
 
-        with mock.patch.object(tensorflow, "__version__", return_value="2.3.0"):
+        with mock.patch.object(tensorflow, "__version__", "2.3.0"):
             assert not TFProfiler.can_initialize()
 
+    def testCanInitializeRcTFVersion(self):
+        import tensorflow as tf
+
+        with mock.patch.object(tf, "__version__", "2.4.0-rc2"):
+            assert TFProfiler.can_initialize()
+
     def testCanInitializeNoProfilePlugin(self):
         orig_find_spec = importlib.util.find_spec
 

tests/unit/aiplatform/test_pipeline_based_service.py

@@ -596,15 +596,9 @@ def test_create_and_submit_pipeline_job(
             == test_backing_pipeline_job.resource_name
         )
 
-    @pytest.mark.parametrize(
-        "job_spec_json",
-        [_TEST_PIPELINE_JOB],
-    )
     def test_list_pipeline_based_service(
         self,
         mock_pipeline_based_service_get,
-        mock_load_yaml_and_json,
-        job_spec_json,
         get_execution_mock,
         list_executions_mock,
     ):
@@ -635,3 +629,25 @@ def test_list_pipeline_based_service(
         # only 1 of the 2 executions in list_executions_mock matches the
         # properties of FakePipelineBasedService
         assert len(test_list_request) == 1
+
+    def test_list_pipeline_based_service_with_template_name_identifier(
+        self,
+        mock_pipeline_based_service_get,
+        get_execution_mock,
+        list_executions_mock,
+    ):
+        aiplatform.init(
+            project=_TEST_PROJECT,
+            location=_TEST_LOCATION,
+            credentials=_TEST_CREDENTIALS,
+        )
+
+        self.FakePipelineBasedService._template_name_identifier = (
+            _TEST_INVALID_PIPELINE_NAME_IDENTIFIER
+        )
+
+        test_list_request = self.FakePipelineBasedService.list()
+
+        # None of the mock pipelines match the `_template_name_identifier`
+        # set above, so the returned list should be empty
+        assert len(test_list_request) == 0