feat: add a new thought field in content proto

feat: add Model Garden deploy API
docs: A comment for field `labels` in message `.google.cloud.aiplatform.v1beta1.PublisherModel` is changed

COPYBARA_INTEGRATE_REVIEW=#4795 from googleapis:owl-bot-copy cb74124
PiperOrigin-RevId: 711486245

google/cloud/aiplatform_v1beta1/__init__.py

@@ -741,6 +741,9 @@
 )
 from .types.model_evaluation import ModelEvaluation
 from .types.model_evaluation_slice import ModelEvaluationSlice
+from .types.model_garden_service import DeployPublisherModelOperationMetadata
+from .types.model_garden_service import DeployPublisherModelRequest
+from .types.model_garden_service import DeployPublisherModelResponse
 from .types.model_garden_service import GetPublisherModelRequest
 from .types.model_garden_service import ListPublisherModelsRequest
 from .types.model_garden_service import ListPublisherModelsResponse
@@ -1411,6 +1414,9 @@
     "DeployModelOperationMetadata",
     "DeployModelRequest",
     "DeployModelResponse",
+    "DeployPublisherModelOperationMetadata",
+    "DeployPublisherModelRequest",
+    "DeployPublisherModelResponse",
     "DeployedIndex",
     "DeployedIndexAuthConfig",
     "DeployedIndexRef",

google/cloud/aiplatform_v1beta1/gapic_metadata.json

@@ -3345,6 +3345,11 @@
         "grpc": {
           "libraryClient": "ModelGardenServiceClient",
           "rpcs": {
+            "DeployPublisherModel": {
+              "methods": [
+                "deploy_publisher_model"
+              ]
+            },
             "GetPublisherModel": {
               "methods": [
                 "get_publisher_model"
@@ -3360,6 +3365,11 @@
         "grpc-async": {
           "libraryClient": "ModelGardenServiceAsyncClient",
           "rpcs": {
+            "DeployPublisherModel": {
+              "methods": [
+                "deploy_publisher_model"
+              ]
+            },
             "GetPublisherModel": {
               "methods": [
                 "get_publisher_model"
@@ -3375,6 +3385,11 @@
         "rest": {
           "libraryClient": "ModelGardenServiceClient",
           "rpcs": {
+            "DeployPublisherModel": {
+              "methods": [
+                "deploy_publisher_model"
+              ]
+            },
             "GetPublisherModel": {
               "methods": [
                 "get_publisher_model"

google/cloud/aiplatform_v1beta1/services/migration_service/client.py

@@ -240,18 +240,23 @@ def parse_annotated_dataset_path(path: str) -> Dict[str, str]:
     @staticmethod
     def dataset_path(
         project: str,
+        location: str,
         dataset: str,
     ) -> str:
         """Returns a fully-qualified dataset string."""
-        return "projects/{project}/datasets/{dataset}".format(
+        return "projects/{project}/locations/{location}/datasets/{dataset}".format(
             project=project,
+            location=location,
             dataset=dataset,
         )
 
     @staticmethod
     def parse_dataset_path(path: str) -> Dict[str, str]:
         """Parses a dataset path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)/datasets/(?P<dataset>.+?)$", path)
+        m = re.match(
+            r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/datasets/(?P<dataset>.+?)$",
+            path,
+        )
         return m.groupdict() if m else {}
 
     @staticmethod
@@ -279,23 +284,18 @@ def parse_dataset_path(path: str) -> Dict[str, str]:
     @staticmethod
     def dataset_path(
         project: str,
-        location: str,
         dataset: str,
     ) -> str:
         """Returns a fully-qualified dataset string."""
-        return "projects/{project}/locations/{location}/datasets/{dataset}".format(
+        return "projects/{project}/datasets/{dataset}".format(
             project=project,
-            location=location,
             dataset=dataset,
         )
 
     @staticmethod
     def parse_dataset_path(path: str) -> Dict[str, str]:
         """Parses a dataset path into its component segments."""
-        m = re.match(
-            r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/datasets/(?P<dataset>.+?)$",
-            path,
-        )
+        m = re.match(r"^projects/(?P<project>.+?)/datasets/(?P<dataset>.+?)$", path)
         return m.groupdict() if m else {}
 
     @staticmethod

google/cloud/aiplatform_v1beta1/services/model_garden_service/async_client.py

@@ -44,6 +44,8 @@
 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.aiplatform_v1beta1.services.model_garden_service import pagers
 from google.cloud.aiplatform_v1beta1.types import model
 from google.cloud.aiplatform_v1beta1.types import model_garden_service
@@ -78,6 +80,10 @@ class ModelGardenServiceAsyncClient:
     _DEFAULT_ENDPOINT_TEMPLATE = ModelGardenServiceClient._DEFAULT_ENDPOINT_TEMPLATE
     _DEFAULT_UNIVERSE = ModelGardenServiceClient._DEFAULT_UNIVERSE
 
+    endpoint_path = staticmethod(ModelGardenServiceClient.endpoint_path)
+    parse_endpoint_path = staticmethod(ModelGardenServiceClient.parse_endpoint_path)
+    model_path = staticmethod(ModelGardenServiceClient.model_path)
+    parse_model_path = staticmethod(ModelGardenServiceClient.parse_model_path)
     publisher_model_path = staticmethod(ModelGardenServiceClient.publisher_model_path)
     parse_publisher_model_path = staticmethod(
         ModelGardenServiceClient.parse_publisher_model_path
@@ -536,6 +542,111 @@ async def sample_list_publisher_models():
         # Done; return the response.
         return response
 
+    async def deploy_publisher_model(
+        self,
+        request: Optional[
+            Union[model_garden_service.DeployPublisherModelRequest, dict]
+        ] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, Union[str, bytes]]] = (),
+    ) -> operation_async.AsyncOperation:
+        r"""Deploys publisher models.
+
+        .. 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 aiplatform_v1beta1
+
+            async def sample_deploy_publisher_model():
+                # Create a client
+                client = aiplatform_v1beta1.ModelGardenServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = aiplatform_v1beta1.DeployPublisherModelRequest(
+                    model="model_value",
+                    destination="destination_value",
+                )
+
+                # Make the request
+                operation = client.deploy_publisher_model(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = (await operation).result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.aiplatform_v1beta1.types.DeployPublisherModelRequest, dict]]):
+                The request object. Request message for
+                [ModelGardenService.DeployPublisherModel][google.cloud.aiplatform.v1beta1.ModelGardenService.DeployPublisherModel].
+            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, Union[str, bytes]]]): Key/value pairs which should be
+                sent along with the request as metadata. Normally, each value must be of type `str`,
+                but for metadata keys ending with the suffix `-bin`, the corresponding values must
+                be of type `bytes`.
+
+        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.aiplatform_v1beta1.types.DeployPublisherModelResponse` Response message for
+                   [ModelGardenService.DeployPublisherModel][google.cloud.aiplatform.v1beta1.ModelGardenService.DeployPublisherModel].
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, model_garden_service.DeployPublisherModelRequest):
+            request = model_garden_service.DeployPublisherModelRequest(request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[
+            self._client._transport.deploy_publisher_model
+        ]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("destination", request.destination),)
+            ),
+        )
+
+        # 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,
+            model_garden_service.DeployPublisherModelResponse,
+            metadata_type=model_garden_service.DeployPublisherModelOperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
     async def list_operations(
         self,
         request: Optional[operations_pb2.ListOperationsRequest] = None,