feat: [google-cloud-documentai] A new field imageless_mode is added to message .google.cloud.documentai.v1.ProcessRequest

packages/google-cloud-documentai/google/cloud/documentai/gapic_version.py

@@ -13,4 +13,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
-__version__ = "2.29.3"  # {x-release-please-version}
+__version__ = "0.0.0"  # {x-release-please-version}

packages/google-cloud-documentai/google/cloud/documentai_v1/gapic_version.py

@@ -13,4 +13,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
-__version__ = "2.29.3"  # {x-release-please-version}
+__version__ = "0.0.0"  # {x-release-please-version}

packages/google-cloud-documentai/google/cloud/documentai_v1beta2/gapic_version.py

@@ -13,4 +13,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
-__version__ = "2.29.3"  # {x-release-please-version}
+__version__ = "0.0.0"  # {x-release-please-version}

packages/google-cloud-documentai/google/cloud/documentai_v1beta3/gapic_version.py

@@ -13,4 +13,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
-__version__ = "2.29.3"  # {x-release-please-version}
+__version__ = "0.0.0"  # {x-release-please-version}

packages/google-cloud-documentai/google/cloud/documentai_v1beta3/services/document_processor_service/async_client.py

@@ -1942,7 +1942,11 @@ async def create_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.
+        after its creation. Note that this method requires the
+        ``documentai.processors.create`` permission on the project,
+        which is highly privileged. A user or service account with this
+        permission can create new processors that can interact with any
+        gcs bucket in your project.
 
         .. code-block:: python
 

packages/google-cloud-documentai/google/cloud/documentai_v1beta3/services/document_processor_service/client.py

@@ -2393,7 +2393,11 @@ def create_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.
+        after its creation. Note that this method requires the
+        ``documentai.processors.create`` permission on the project,
+        which is highly privileged. A user or service account with this
+        permission can create new processors that can interact with any
+        gcs bucket in your project.
 
         .. code-block:: python
 

packages/google-cloud-documentai/google/cloud/documentai_v1beta3/services/document_processor_service/transports/grpc.py

@@ -650,7 +650,11 @@ def create_processor(
         Creates a processor from the
         [ProcessorType][google.cloud.documentai.v1beta3.ProcessorType]
         provided. The processor will be at ``ENABLED`` state by default
-        after its creation.
+        after its creation. Note that this method requires the
+        ``documentai.processors.create`` permission on the project,
+        which is highly privileged. A user or service account with this
+        permission can create new processors that can interact with any
+        gcs bucket in your project.
 
         Returns:
             Callable[[~.CreateProcessorRequest],

packages/google-cloud-documentai/google/cloud/documentai_v1beta3/services/document_processor_service/transports/grpc_asyncio.py

@@ -658,7 +658,11 @@ def create_processor(
         Creates a processor from the
         [ProcessorType][google.cloud.documentai.v1beta3.ProcessorType]
         provided. The processor will be at ``ENABLED`` state by default
-        after its creation.
+        after its creation. Note that this method requires the
+        ``documentai.processors.create`` permission on the project,
+        which is highly privileged. A user or service account with this
+        permission can create new processors that can interact with any
+        gcs bucket in your project.
 
         Returns:
             Callable[[~.CreateProcessorRequest],

packages/google-cloud-documentai/google/cloud/documentai_v1beta3/services/document_service/async_client.py

@@ -289,7 +289,12 @@ async def update_dataset(
         timeout: Union[float, object] = gapic_v1.method.DEFAULT,
         metadata: Sequence[Tuple[str, str]] = (),
     ) -> operation_async.AsyncOperation:
-        r"""Updates metadata associated with a dataset.
+        r"""Updates metadata associated with a dataset. Note that this
+        method requires the
+        ``documentai.googleapis.com/datasets.update`` permission on the
+        project, which is highly privileged. A user or service account
+        with this permission can create new processors that can interact
+        with any gcs bucket in your project.
 
         .. code-block:: python
 

packages/google-cloud-documentai/google/cloud/documentai_v1beta3/services/document_service/client.py

@@ -747,7 +747,12 @@ def update_dataset(
         timeout: Union[float, object] = gapic_v1.method.DEFAULT,
         metadata: Sequence[Tuple[str, str]] = (),
     ) -> operation.Operation:
-        r"""Updates metadata associated with a dataset.
+        r"""Updates metadata associated with a dataset. Note that this
+        method requires the
+        ``documentai.googleapis.com/datasets.update`` permission on the
+        project, which is highly privileged. A user or service account
+        with this permission can create new processors that can interact
+        with any gcs bucket in your project.
 
         .. code-block:: python
 

packages/google-cloud-documentai/google/cloud/documentai_v1beta3/services/document_service/transports/grpc.py

@@ -258,7 +258,12 @@ def update_dataset(
     ) -> Callable[[document_service.UpdateDatasetRequest], operations_pb2.Operation]:
         r"""Return a callable for the update dataset method over gRPC.
 
-        Updates metadata associated with a dataset.
+        Updates metadata associated with a dataset. Note that this
+        method requires the
+        ``documentai.googleapis.com/datasets.update`` permission on the
+        project, which is highly privileged. A user or service account
+        with this permission can create new processors that can interact
+        with any gcs bucket in your project.
 
         Returns:
             Callable[[~.UpdateDatasetRequest],

packages/google-cloud-documentai/google/cloud/documentai_v1beta3/services/document_service/transports/grpc_asyncio.py

@@ -266,7 +266,12 @@ def update_dataset(
     ]:
         r"""Return a callable for the update dataset method over gRPC.
 
-        Updates metadata associated with a dataset.
+        Updates metadata associated with a dataset. Note that this
+        method requires the
+        ``documentai.googleapis.com/datasets.update`` permission on the
+        project, which is highly privileged. A user or service account
+        with this permission can create new processors that can interact
+        with any gcs bucket in your project.
 
         Returns:
             Callable[[~.UpdateDatasetRequest],

packages/google-cloud-documentai/google/cloud/documentai_v1beta3/types/dataset.py

@@ -78,6 +78,10 @@ class Dataset(proto.Message):
         state (google.cloud.documentai_v1beta3.types.Dataset.State):
             Required. State of the dataset. Ignored when
             updating dataset.
+        satisfies_pzs (bool):
+            Output only. Reserved for future use.
+        satisfies_pzi (bool):
+            Output only. Reserved for future use.
     """
 
     class State(proto.Enum):
@@ -176,6 +180,14 @@ class SpannerIndexingConfig(proto.Message):
         number=2,
         enum=State,
     )
+    satisfies_pzs: bool = proto.Field(
+        proto.BOOL,
+        number=8,
+    )
+    satisfies_pzi: bool = proto.Field(
+        proto.BOOL,
+        number=9,
+    )
 
 
 class DocumentId(proto.Message):

packages/google-cloud-documentai/google/cloud/documentai_v1beta3/types/document.py

@@ -2079,9 +2079,7 @@ class Chunk(proto.Message):
                 chunk_id (str):
                     ID of the chunk.
                 source_block_ids (MutableSequence[str]):
-                    DO NOT USE.
-                    List of all parsed documents layout source
-                    blocks used to generate the chunk.
+                    Unused.
                 content (str):
                     Text content of the chunk.
                 page_span (google.cloud.documentai_v1beta3.types.Document.ChunkedDocument.Chunk.ChunkPageSpan):

packages/google-cloud-documentai/google/cloud/documentai_v1beta3/types/document_processor_service.py

@@ -293,6 +293,9 @@ class ProcessRequest(proto.Message):
             underscores, and dashes. International
             characters are allowed. Label values are
             optional. Label keys must start with a letter.
+        imageless_mode (bool):
+            Optional. Option to remove images from the
+            document.
     """
 
     inline_document: gcd_document.Document = proto.Field(
@@ -341,6 +344,10 @@ class ProcessRequest(proto.Message):
         proto.STRING,
         number=10,
     )
+    imageless_mode: bool = proto.Field(
+        proto.BOOL,
+        number=11,
+    )
 
 
 class HumanReviewStatus(proto.Message):

packages/google-cloud-documentai/google/cloud/documentai_v1beta3/types/document_service.py

@@ -396,8 +396,10 @@ class ListDocumentsRequest(proto.Message):
             https://google.aip.dev/160.
 
             Currently support query strings are:
+            ------------------------------------
+
+            ``SplitType=DATASET_SPLIT_TEST|DATASET_SPLIT_TRAIN|DATASET_SPLIT_UNASSIGNED``
 
-            - ``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``

packages/google-cloud-documentai/google/cloud/documentai_v1beta3/types/processor.py

@@ -72,6 +72,13 @@ class ProcessorVersion(proto.Message):
         model_type (google.cloud.documentai_v1beta3.types.ProcessorVersion.ModelType):
             Output only. The model type of this processor
             version.
+        satisfies_pzs (bool):
+            Output only. Reserved for future use.
+        satisfies_pzi (bool):
+            Output only. Reserved for future use.
+        gen_ai_model_info (google.cloud.documentai_v1beta3.types.ProcessorVersion.GenAiModelInfo):
+            Output only. Information about Generative AI
+            model-based processor versions.
     """
 
     class State(proto.Enum):
@@ -151,6 +158,102 @@ class DeprecationInfo(proto.Message):
             number=2,
         )
 
+    class GenAiModelInfo(proto.Message):
+        r"""Information about Generative AI model-based processor
+        versions.
+
+        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:
+            foundation_gen_ai_model_info (google.cloud.documentai_v1beta3.types.ProcessorVersion.GenAiModelInfo.FoundationGenAiModelInfo):
+                Information for a pretrained Google-managed
+                foundation model.
+
+                This field is a member of `oneof`_ ``model_info``.
+            custom_gen_ai_model_info (google.cloud.documentai_v1beta3.types.ProcessorVersion.GenAiModelInfo.CustomGenAiModelInfo):
+                Information for a custom Generative AI model
+                created by the user.
+
+                This field is a member of `oneof`_ ``model_info``.
+        """
+
+        class FoundationGenAiModelInfo(proto.Message):
+            r"""Information for a pretrained Google-managed foundation model.
+
+            Attributes:
+                finetuning_allowed (bool):
+                    Whether finetuning is allowed for this base
+                    processor version.
+                min_train_labeled_documents (int):
+                    The minimum number of labeled documents in
+                    the training dataset required for finetuning.
+            """
+
+            finetuning_allowed: bool = proto.Field(
+                proto.BOOL,
+                number=1,
+            )
+            min_train_labeled_documents: int = proto.Field(
+                proto.INT32,
+                number=2,
+            )
+
+        class CustomGenAiModelInfo(proto.Message):
+            r"""Information for a custom Generative AI model created by the user.
+            These are created with ``Create New Version`` in either the
+            ``Call foundation model`` or ``Fine tuning`` tabs.
+
+            Attributes:
+                custom_model_type (google.cloud.documentai_v1beta3.types.ProcessorVersion.GenAiModelInfo.CustomGenAiModelInfo.CustomModelType):
+                    The type of custom model created by the user.
+                base_processor_version_id (str):
+                    The base processor version ID for the custom
+                    model.
+            """
+
+            class CustomModelType(proto.Enum):
+                r"""The type of custom model created by the user.
+
+                Values:
+                    CUSTOM_MODEL_TYPE_UNSPECIFIED (0):
+                        The model type is unspecified.
+                    VERSIONED_FOUNDATION (1):
+                        The model is a versioned foundation model.
+                    FINE_TUNED (2):
+                        The model is a finetuned foundation model.
+                """
+                CUSTOM_MODEL_TYPE_UNSPECIFIED = 0
+                VERSIONED_FOUNDATION = 1
+                FINE_TUNED = 2
+
+            custom_model_type: "ProcessorVersion.GenAiModelInfo.CustomGenAiModelInfo.CustomModelType" = proto.Field(
+                proto.ENUM,
+                number=1,
+                enum="ProcessorVersion.GenAiModelInfo.CustomGenAiModelInfo.CustomModelType",
+            )
+            base_processor_version_id: str = proto.Field(
+                proto.STRING,
+                number=2,
+            )
+
+        foundation_gen_ai_model_info: "ProcessorVersion.GenAiModelInfo.FoundationGenAiModelInfo" = proto.Field(
+            proto.MESSAGE,
+            number=1,
+            oneof="model_info",
+            message="ProcessorVersion.GenAiModelInfo.FoundationGenAiModelInfo",
+        )
+        custom_gen_ai_model_info: "ProcessorVersion.GenAiModelInfo.CustomGenAiModelInfo" = proto.Field(
+            proto.MESSAGE,
+            number=2,
+            oneof="model_info",
+            message="ProcessorVersion.GenAiModelInfo.CustomGenAiModelInfo",
+        )
+
     name: str = proto.Field(
         proto.STRING,
         number=1,
@@ -201,6 +304,19 @@ class DeprecationInfo(proto.Message):
         number=15,
         enum=ModelType,
     )
+    satisfies_pzs: bool = proto.Field(
+        proto.BOOL,
+        number=16,
+    )
+    satisfies_pzi: bool = proto.Field(
+        proto.BOOL,
+        number=17,
+    )
+    gen_ai_model_info: GenAiModelInfo = proto.Field(
+        proto.MESSAGE,
+        number=18,
+        message=GenAiModelInfo,
+    )
 
 
 class ProcessorVersionAlias(proto.Message):
@@ -256,6 +372,10 @@ class Processor(proto.Message):
             The `KMS
             key <https://cloud.google.com/security-key-management>`__
             used for encryption and decryption in CMEK scenarios.
+        satisfies_pzs (bool):
+            Output only. Reserved for future use.
+        satisfies_pzi (bool):
+            Output only. Reserved for future use.
     """
 
     class State(proto.Enum):
@@ -344,6 +464,14 @@ class State(proto.Enum):
         proto.STRING,
         number=8,
     )
+    satisfies_pzs: bool = proto.Field(
+        proto.BOOL,
+        number=12,
+    )
+    satisfies_pzi: bool = proto.Field(
+        proto.BOOL,
+        number=13,
+    )
 
 
 __all__ = tuple(sorted(__protobuf__.manifest))

packages/google-cloud-documentai/samples/generated_samples/snippet_metadata_google.cloud.documentai.v1.json

@@ -8,7 +8,7 @@
     ],
     "language": "PYTHON",
     "name": "google-cloud-documentai",
-    "version": "2.29.3"
+    "version": "0.1.0"
   },
   "snippets": [
     {

packages/google-cloud-documentai/samples/generated_samples/snippet_metadata_google.cloud.documentai.v1beta2.json

@@ -8,7 +8,7 @@
     ],
     "language": "PYTHON",
     "name": "google-cloud-documentai",
-    "version": "2.29.3"
+    "version": "0.1.0"
   },
   "snippets": [
     {

packages/google-cloud-documentai/samples/generated_samples/snippet_metadata_google.cloud.documentai.v1beta3.json

@@ -8,7 +8,7 @@
     ],
     "language": "PYTHON",
     "name": "google-cloud-documentai",
-    "version": "2.29.3"
+    "version": "0.1.0"
   },
   "snippets": [
     {