async def update_endpoint( self, request: endpoint_service.UpdateEndpointRequest = None, *, endpoint: gca_endpoint.Endpoint = None, update_mask: field_mask_pb2.FieldMask = None, retry: retries.Retry = gapic_v1.method.DEFAULT, timeout: float = None, metadata: Sequence[Tuple[str, str]] = (), ) -> gca_endpoint.Endpoint: r"""Updates an Endpoint. Args: request (:class:`google.cloud.aiplatform_v1.types.UpdateEndpointRequest`): The request object. Request message for [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint]. endpoint (:class:`google.cloud.aiplatform_v1.types.Endpoint`): Required. The Endpoint which replaces the resource on the server. This corresponds to the ``endpoint`` field on the ``request`` instance; if ``request`` is provided, this should not be set. update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`): Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask]. This corresponds to the ``update_mask`` field on the ``request`` instance; if ``request`` is provided, this should not be set. 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, str]]): Strings which should be sent along with the request as metadata. Returns: google.cloud.aiplatform_v1.types.Endpoint: Models are deployed into it, and afterwards Endpoint is called to obtain predictions and explanations. """ # Create or coerce a protobuf request object. # Sanity check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. has_flattened_params = any([endpoint, update_mask]) if request is not None and has_flattened_params: raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) request = endpoint_service.UpdateEndpointRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if endpoint is not None: request.endpoint = endpoint if update_mask is not None: request.update_mask = update_mask # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = gapic_v1.method_async.wrap_method( self._client._transport.update_endpoint, default_timeout=5.0, client_info=DEFAULT_CLIENT_INFO, ) # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata( (("endpoint.name", request.endpoint.name),) ), ) # Send the request. response = await rpc(request, retry=retry, timeout=timeout, metadata=metadata,) # Done; return the response. return response
def update_endpoint( self, request: endpoint_service.UpdateEndpointRequest = None, *, endpoint: gca_endpoint.Endpoint = None, update_mask: field_mask.FieldMask = None, retry: retries.Retry = gapic_v1.method.DEFAULT, timeout: float = None, metadata: Sequence[Tuple[str, str]] = (), ) -> gca_endpoint.Endpoint: r"""Updates an Endpoint. Args: request (google.cloud.aiplatform_v1.types.UpdateEndpointRequest): The request object. Request message for ``EndpointService.UpdateEndpoint``. endpoint (google.cloud.aiplatform_v1.types.Endpoint): Required. The Endpoint which replaces the resource on the server. This corresponds to the ``endpoint`` field on the ``request`` instance; if ``request`` is provided, this should not be set. update_mask (google.protobuf.field_mask_pb2.FieldMask): Required. The update mask applies to the resource. See `FieldMask <https://tinyurl.com/protobufs/google.protobuf#fieldmask>`__. This corresponds to the ``update_mask`` field on the ``request`` instance; if ``request`` is provided, this should not be set. 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, str]]): Strings which should be sent along with the request as metadata. Returns: google.cloud.aiplatform_v1.types.Endpoint: Models are deployed into it, and afterwards Endpoint is called to obtain predictions and explanations. """ # Create or coerce a protobuf request object. # Sanity check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. has_flattened_params = any([endpoint, update_mask]) if request is not None and has_flattened_params: raise ValueError("If the `request` argument is set, then none of " "the individual field arguments should be set.") # Minor optimization to avoid making a copy if the user passes # in a endpoint_service.UpdateEndpointRequest. # There's no risk of modifying the input as we've already verified # there are no flattened fields. if not isinstance(request, endpoint_service.UpdateEndpointRequest): request = endpoint_service.UpdateEndpointRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if endpoint is not None: request.endpoint = endpoint if update_mask is not None: request.update_mask = update_mask # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.update_endpoint] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + (gapic_v1.routing_header.to_grpc_metadata( (("endpoint.name", request.endpoint.name), )), ) # Send the request. response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Done; return the response. return response