🦉 Updates from OwlBot post-processor

See https://github.com/googleapis/repo-automation-bots/blob/main/packages/owl-bot/README.md

Author: gcf-owl-bot[bot]

google/cloud/aiplatform_v1/__init__.py

@@ -407,6 +407,8 @@
 from .types.feature_online_store_service import FeatureViewDirectWriteResponse
 from .types.feature_online_store_service import FetchFeatureValuesRequest
 from .types.feature_online_store_service import FetchFeatureValuesResponse
+from .types.feature_online_store_service import GenerateFetchAccessTokenRequest
+from .types.feature_online_store_service import GenerateFetchAccessTokenResponse
 from .types.feature_online_store_service import NearestNeighborQuery
 from .types.feature_online_store_service import NearestNeighbors
 from .types.feature_online_store_service import SearchNearestEntitiesRequest
@@ -1442,6 +1444,8 @@
     "GenAiTuningServiceClient",
     "GenerateContentRequest",
     "GenerateContentResponse",
+    "GenerateFetchAccessTokenRequest",
+    "GenerateFetchAccessTokenResponse",
     "GenerateSyntheticDataRequest",
     "GenerateSyntheticDataResponse",
     "GenerationConfig",

google/cloud/aiplatform_v1/gapic_metadata.json

@@ -869,6 +869,11 @@
                 "fetch_feature_values"
               ]
             },
+            "GenerateFetchAccessToken": {
+              "methods": [
+                "generate_fetch_access_token"
+              ]
+            },
             "SearchNearestEntities": {
               "methods": [
                 "search_nearest_entities"
@@ -889,6 +894,11 @@
                 "fetch_feature_values"
               ]
             },
+            "GenerateFetchAccessToken": {
+              "methods": [
+                "generate_fetch_access_token"
+              ]
+            },
             "SearchNearestEntities": {
               "methods": [
                 "search_nearest_entities"
@@ -909,6 +919,11 @@
                 "fetch_feature_values"
               ]
             },
+            "GenerateFetchAccessToken": {
+              "methods": [
+                "generate_fetch_access_token"
+              ]
+            },
             "SearchNearestEntities": {
               "methods": [
                 "search_nearest_entities"

google/cloud/aiplatform_v1/services/feature_online_store_service/async_client.py

@@ -54,6 +54,7 @@
 from google.iam.v1 import policy_pb2  # type: ignore
 from google.longrunning import operations_pb2  # type: ignore
 from google.protobuf import struct_pb2  # type: ignore
+from google.protobuf import timestamp_pb2  # type: ignore
 from google.rpc import status_pb2  # type: ignore
 from .transports.base import FeatureOnlineStoreServiceTransport, DEFAULT_CLIENT_INFO
 from .transports.grpc_asyncio import FeatureOnlineStoreServiceGrpcAsyncIOTransport
@@ -635,6 +636,101 @@ def request_generator():
         # Done; return the response.
         return response
 
+    async def generate_fetch_access_token(
+        self,
+        request: Optional[
+            Union[feature_online_store_service.GenerateFetchAccessTokenRequest, dict]
+        ] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, Union[str, bytes]]] = (),
+    ) -> feature_online_store_service.GenerateFetchAccessTokenResponse:
+        r"""RPC to generate an access token for the given feature
+        view. FeatureViews under the same FeatureOnlineStore
+        share the same access token.
+
+        .. 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_v1
+
+            async def sample_generate_fetch_access_token():
+                # Create a client
+                client = aiplatform_v1.FeatureOnlineStoreServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = aiplatform_v1.GenerateFetchAccessTokenRequest(
+                )
+
+                # Make the request
+                response = await client.generate_fetch_access_token(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.aiplatform_v1.types.GenerateFetchAccessTokenRequest, dict]]):
+                The request object. Request message for
+                [FeatureOnlineStoreService.GenerateFetchAccessToken][google.cloud.aiplatform.v1.FeatureOnlineStoreService.GenerateFetchAccessToken].
+            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.cloud.aiplatform_v1.types.GenerateFetchAccessTokenResponse:
+                Response message for
+                   [FeatureOnlineStoreService.GenerateFetchAccessToken][google.cloud.aiplatform.v1.FeatureOnlineStoreService.GenerateFetchAccessToken].
+
+        """
+        # 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, feature_online_store_service.GenerateFetchAccessTokenRequest
+        ):
+            request = feature_online_store_service.GenerateFetchAccessTokenRequest(
+                request
+            )
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[
+            self._client._transport.generate_fetch_access_token
+        ]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("feature_view", request.feature_view),)
+            ),
+        )
+
+        # 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,

google/cloud/aiplatform_v1/services/feature_online_store_service/client.py

@@ -69,6 +69,7 @@
 from google.iam.v1 import policy_pb2  # type: ignore
 from google.longrunning import operations_pb2  # type: ignore
 from google.protobuf import struct_pb2  # type: ignore
+from google.protobuf import timestamp_pb2  # type: ignore
 from google.rpc import status_pb2  # type: ignore
 from .transports.base import FeatureOnlineStoreServiceTransport, DEFAULT_CLIENT_INFO
 from .transports.grpc import FeatureOnlineStoreServiceGrpcTransport
@@ -1087,6 +1088,101 @@ def request_generator():
         # Done; return the response.
         return response
 
+    def generate_fetch_access_token(
+        self,
+        request: Optional[
+            Union[feature_online_store_service.GenerateFetchAccessTokenRequest, dict]
+        ] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, Union[str, bytes]]] = (),
+    ) -> feature_online_store_service.GenerateFetchAccessTokenResponse:
+        r"""RPC to generate an access token for the given feature
+        view. FeatureViews under the same FeatureOnlineStore
+        share the same access token.
+
+        .. 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_v1
+
+            def sample_generate_fetch_access_token():
+                # Create a client
+                client = aiplatform_v1.FeatureOnlineStoreServiceClient()
+
+                # Initialize request argument(s)
+                request = aiplatform_v1.GenerateFetchAccessTokenRequest(
+                )
+
+                # Make the request
+                response = client.generate_fetch_access_token(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.aiplatform_v1.types.GenerateFetchAccessTokenRequest, dict]):
+                The request object. Request message for
+                [FeatureOnlineStoreService.GenerateFetchAccessToken][google.cloud.aiplatform.v1.FeatureOnlineStoreService.GenerateFetchAccessToken].
+            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, 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.cloud.aiplatform_v1.types.GenerateFetchAccessTokenResponse:
+                Response message for
+                   [FeatureOnlineStoreService.GenerateFetchAccessToken][google.cloud.aiplatform.v1.FeatureOnlineStoreService.GenerateFetchAccessToken].
+
+        """
+        # 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, feature_online_store_service.GenerateFetchAccessTokenRequest
+        ):
+            request = feature_online_store_service.GenerateFetchAccessTokenRequest(
+                request
+            )
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[
+            self._transport.generate_fetch_access_token
+        ]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("feature_view", request.feature_view),)
+            ),
+        )
+
+        # 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) -> "FeatureOnlineStoreServiceClient":
         return self
 

google/cloud/aiplatform_v1/services/feature_online_store_service/transports/base.py

@@ -153,6 +153,11 @@ def _prep_wrapped_messages(self, client_info):
                 default_timeout=None,
                 client_info=client_info,
             ),
+            self.generate_fetch_access_token: gapic_v1.method.wrap_method(
+                self.generate_fetch_access_token,
+                default_timeout=None,
+                client_info=client_info,
+            ),
             self.get_location: gapic_v1.method.wrap_method(
                 self.get_location,
                 default_timeout=None,
@@ -250,6 +255,18 @@ def feature_view_direct_write(
     ]:
         raise NotImplementedError()
 
+    @property
+    def generate_fetch_access_token(
+        self,
+    ) -> Callable[
+        [feature_online_store_service.GenerateFetchAccessTokenRequest],
+        Union[
+            feature_online_store_service.GenerateFetchAccessTokenResponse,
+            Awaitable[feature_online_store_service.GenerateFetchAccessTokenResponse],
+        ],
+    ]:
+        raise NotImplementedError()
+
     @property
     def list_operations(
         self,

google/cloud/aiplatform_v1/services/feature_online_store_service/transports/grpc.py

@@ -421,6 +421,39 @@ def feature_view_direct_write(
             )
         return self._stubs["feature_view_direct_write"]
 
+    @property
+    def generate_fetch_access_token(
+        self,
+    ) -> Callable[
+        [feature_online_store_service.GenerateFetchAccessTokenRequest],
+        feature_online_store_service.GenerateFetchAccessTokenResponse,
+    ]:
+        r"""Return a callable for the generate fetch access token method over gRPC.
+
+        RPC to generate an access token for the given feature
+        view. FeatureViews under the same FeatureOnlineStore
+        share the same access token.
+
+        Returns:
+            Callable[[~.GenerateFetchAccessTokenRequest],
+                    ~.GenerateFetchAccessTokenResponse]:
+                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 "generate_fetch_access_token" not in self._stubs:
+            self._stubs["generate_fetch_access_token"] = (
+                self._logged_channel.unary_unary(
+                    "/google.cloud.aiplatform.v1.FeatureOnlineStoreService/GenerateFetchAccessToken",
+                    request_serializer=feature_online_store_service.GenerateFetchAccessTokenRequest.serialize,
+                    response_deserializer=feature_online_store_service.GenerateFetchAccessTokenResponse.deserialize,
+                )
+            )
+        return self._stubs["generate_fetch_access_token"]
+
     def close(self):
         self._logged_channel.close()
 

google/cloud/aiplatform_v1/services/feature_online_store_service/transports/grpc_asyncio.py

@@ -429,6 +429,39 @@ def feature_view_direct_write(
             )
         return self._stubs["feature_view_direct_write"]
 
+    @property
+    def generate_fetch_access_token(
+        self,
+    ) -> Callable[
+        [feature_online_store_service.GenerateFetchAccessTokenRequest],
+        Awaitable[feature_online_store_service.GenerateFetchAccessTokenResponse],
+    ]:
+        r"""Return a callable for the generate fetch access token method over gRPC.
+
+        RPC to generate an access token for the given feature
+        view. FeatureViews under the same FeatureOnlineStore
+        share the same access token.
+
+        Returns:
+            Callable[[~.GenerateFetchAccessTokenRequest],
+                    Awaitable[~.GenerateFetchAccessTokenResponse]]:
+                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 "generate_fetch_access_token" not in self._stubs:
+            self._stubs["generate_fetch_access_token"] = (
+                self._logged_channel.unary_unary(
+                    "/google.cloud.aiplatform.v1.FeatureOnlineStoreService/GenerateFetchAccessToken",
+                    request_serializer=feature_online_store_service.GenerateFetchAccessTokenRequest.serialize,
+                    response_deserializer=feature_online_store_service.GenerateFetchAccessTokenResponse.deserialize,
+                )
+            )
+        return self._stubs["generate_fetch_access_token"]
+
     def _prep_wrapped_messages(self, client_info):
         """Precompute the wrapped methods, overriding the base class method to use async wrappers."""
         self._wrapped_methods = {
@@ -447,6 +480,11 @@ def _prep_wrapped_messages(self, client_info):
                 default_timeout=None,
                 client_info=client_info,
             ),
+            self.generate_fetch_access_token: self._wrap_method(
+                self.generate_fetch_access_token,
+                default_timeout=None,
+                client_info=client_info,
+            ),
             self.get_location: self._wrap_method(
                 self.get_location,
                 default_timeout=None,