Copybara import of the project:

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332e36a by Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com>:

feat: Introduce RAG as context/memory store for Gemini Live API
docs: A comment for message `RagFileParsingConfig` is updated.
docs: A comment for field `global_max_embedding_requests_per_min` in message `.google.cloud.aiplatform.v1beta1.ImportRagFilesConfig` is updated.

PiperOrigin-RevId: 763909021

Source-Link: googleapis/googleapis@07ab54b

Source-Link: googleapis/googleapis-gen@9889798
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1964ffa by Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com>:

🦉 Updates from OwlBot post-processor

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COPYBARA_INTEGRATE_REVIEW=#5358 from googleapis:owl-bot-copy 2fbaf84
PiperOrigin-RevId: 764458457

Author: gcf-owl-bot[bot]

google/cloud/aiplatform_v1beta1/__init__.py

@@ -646,6 +646,8 @@
 from .types.index_service import CreateIndexRequest
 from .types.index_service import DeleteIndexRequest
 from .types.index_service import GetIndexRequest
+from .types.index_service import ImportIndexOperationMetadata
+from .types.index_service import ImportIndexRequest
 from .types.index_service import ListIndexesRequest
 from .types.index_service import ListIndexesResponse
 from .types.index_service import NearestNeighborSearchOperationMetadata
@@ -1794,6 +1796,8 @@
     "ImportFeatureValuesOperationMetadata",
     "ImportFeatureValuesRequest",
     "ImportFeatureValuesResponse",
+    "ImportIndexOperationMetadata",
+    "ImportIndexRequest",
     "ImportModelEvaluationRequest",
     "ImportRagFilesConfig",
     "ImportRagFilesOperationMetadata",

google/cloud/aiplatform_v1beta1/gapic_metadata.json

@@ -2320,6 +2320,11 @@
                 "get_index"
               ]
             },
+            "ImportIndex": {
+              "methods": [
+                "import_index"
+              ]
+            },
             "ListIndexes": {
               "methods": [
                 "list_indexes"
@@ -2360,6 +2365,11 @@
                 "get_index"
               ]
             },
+            "ImportIndex": {
+              "methods": [
+                "import_index"
+              ]
+            },
             "ListIndexes": {
               "methods": [
                 "list_indexes"
@@ -2400,6 +2410,11 @@
                 "get_index"
               ]
             },
+            "ImportIndex": {
+              "methods": [
+                "import_index"
+              ]
+            },
             "ListIndexes": {
               "methods": [
                 "list_indexes"

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

@@ -556,6 +556,114 @@ async def sample_get_index():
         # Done; return the response.
         return response
 
+    async def import_index(
+        self,
+        request: Optional[Union[index_service.ImportIndexRequest, 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"""Imports an Index from an external source (e.g.,
+        BigQuery).
+
+        .. 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_import_index():
+                # Create a client
+                client = aiplatform_v1beta1.IndexServiceAsyncClient()
+
+                # Initialize request argument(s)
+                config = aiplatform_v1beta1.ConnectorConfig()
+                config.big_query_source_config.table_path = "table_path_value"
+                config.big_query_source_config.datapoint_field_mapping.id_column = "id_column_value"
+                config.big_query_source_config.datapoint_field_mapping.embedding_column = "embedding_column_value"
+
+                request = aiplatform_v1beta1.ImportIndexRequest(
+                    name="name_value",
+                    config=config,
+                )
+
+                # Make the request
+                operation = client.import_index(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.ImportIndexRequest, dict]]):
+                The request object. Request message for
+                [IndexService.ImportIndex][google.cloud.aiplatform.v1beta1.IndexService.ImportIndex].
+            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.Index` A representation of a collection of database items organized in a way that
+                   allows for approximate nearest neighbor (a.k.a ANN)
+                   algorithms search.
+
+        """
+        # 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, index_service.ImportIndexRequest):
+            request = index_service.ImportIndexRequest(request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[
+            self._client._transport.import_index
+        ]
+
+        # 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,
+            index.Index,
+            metadata_type=index_service.ImportIndexOperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
     async def list_indexes(
         self,
         request: Optional[Union[index_service.ListIndexesRequest, dict]] = None,

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

@@ -1028,6 +1028,112 @@ def sample_get_index():
         # Done; return the response.
         return response
 
+    def import_index(
+        self,
+        request: Optional[Union[index_service.ImportIndexRequest, dict]] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, Union[str, bytes]]] = (),
+    ) -> gac_operation.Operation:
+        r"""Imports an Index from an external source (e.g.,
+        BigQuery).
+
+        .. 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
+
+            def sample_import_index():
+                # Create a client
+                client = aiplatform_v1beta1.IndexServiceClient()
+
+                # Initialize request argument(s)
+                config = aiplatform_v1beta1.ConnectorConfig()
+                config.big_query_source_config.table_path = "table_path_value"
+                config.big_query_source_config.datapoint_field_mapping.id_column = "id_column_value"
+                config.big_query_source_config.datapoint_field_mapping.embedding_column = "embedding_column_value"
+
+                request = aiplatform_v1beta1.ImportIndexRequest(
+                    name="name_value",
+                    config=config,
+                )
+
+                # Make the request
+                operation = client.import_index(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.aiplatform_v1beta1.types.ImportIndexRequest, dict]):
+                The request object. Request message for
+                [IndexService.ImportIndex][google.cloud.aiplatform.v1beta1.IndexService.ImportIndex].
+            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.api_core.operation.Operation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.cloud.aiplatform_v1beta1.types.Index` A representation of a collection of database items organized in a way that
+                   allows for approximate nearest neighbor (a.k.a ANN)
+                   algorithms search.
+
+        """
+        # 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, index_service.ImportIndexRequest):
+            request = index_service.ImportIndexRequest(request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.import_index]
+
+        # 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 = gac_operation.from_gapic(
+            response,
+            self._transport.operations_client,
+            index.Index,
+            metadata_type=index_service.ImportIndexOperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
     def list_indexes(
         self,
         request: Optional[Union[index_service.ListIndexesRequest, dict]] = None,

google/cloud/aiplatform_v1beta1/services/index_service/transports/base.py

@@ -149,6 +149,11 @@ def _prep_wrapped_messages(self, client_info):
                 default_timeout=5.0,
                 client_info=client_info,
             ),
+            self.import_index: gapic_v1.method.wrap_method(
+                self.import_index,
+                default_timeout=None,
+                client_info=client_info,
+            ),
             self.list_indexes: gapic_v1.method.wrap_method(
                 self.list_indexes,
                 default_timeout=5.0,
@@ -257,6 +262,15 @@ def get_index(
     ]:
         raise NotImplementedError()
 
+    @property
+    def import_index(
+        self,
+    ) -> Callable[
+        [index_service.ImportIndexRequest],
+        Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
+    ]:
+        raise NotImplementedError()
+
     @property
     def list_indexes(
         self,

google/cloud/aiplatform_v1beta1/services/index_service/transports/grpc.py

@@ -394,6 +394,33 @@ def get_index(self) -> Callable[[index_service.GetIndexRequest], index.Index]:
             )
         return self._stubs["get_index"]
 
+    @property
+    def import_index(
+        self,
+    ) -> Callable[[index_service.ImportIndexRequest], operations_pb2.Operation]:
+        r"""Return a callable for the import index method over gRPC.
+
+        Imports an Index from an external source (e.g.,
+        BigQuery).
+
+        Returns:
+            Callable[[~.ImportIndexRequest],
+                    ~.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_index" not in self._stubs:
+            self._stubs["import_index"] = self._logged_channel.unary_unary(
+                "/google.cloud.aiplatform.v1beta1.IndexService/ImportIndex",
+                request_serializer=index_service.ImportIndexRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs["import_index"]
+
     @property
     def list_indexes(
         self,

google/cloud/aiplatform_v1beta1/services/index_service/transports/grpc_asyncio.py

@@ -406,6 +406,35 @@ def get_index(
             )
         return self._stubs["get_index"]
 
+    @property
+    def import_index(
+        self,
+    ) -> Callable[
+        [index_service.ImportIndexRequest], Awaitable[operations_pb2.Operation]
+    ]:
+        r"""Return a callable for the import index method over gRPC.
+
+        Imports an Index from an external source (e.g.,
+        BigQuery).
+
+        Returns:
+            Callable[[~.ImportIndexRequest],
+                    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_index" not in self._stubs:
+            self._stubs["import_index"] = self._logged_channel.unary_unary(
+                "/google.cloud.aiplatform.v1beta1.IndexService/ImportIndex",
+                request_serializer=index_service.ImportIndexRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs["import_index"]
+
     @property
     def list_indexes(
         self,
@@ -563,6 +592,11 @@ def _prep_wrapped_messages(self, client_info):
                 default_timeout=5.0,
                 client_info=client_info,
             ),
+            self.import_index: self._wrap_method(
+                self.import_index,
+                default_timeout=None,
+                client_info=client_info,
+            ),
             self.list_indexes: self._wrap_method(
                 self.list_indexes,
                 default_timeout=5.0,