def __init__( self, method: Callable[..., migration_service.SearchMigratableResourcesResponse], request: migration_service.SearchMigratableResourcesRequest, response: migration_service.SearchMigratableResourcesResponse, *, metadata: Sequence[Tuple[str, str]] = ()): """Instantiate the pager. Args: method (Callable): The method that was originally called, and which instantiated this pager. request (:class:`~.migration_service.SearchMigratableResourcesRequest`): The initial request object. response (:class:`~.migration_service.SearchMigratableResourcesResponse`): The initial response object. metadata (Sequence[Tuple[str, str]]): Strings which should be sent along with the request as metadata. """ self._method = method self._request = migration_service.SearchMigratableResourcesRequest( request) self._response = response self._metadata = metadata
async def search_migratable_resources(self, request: migration_service.SearchMigratableResourcesRequest = None, *, parent: str = None, retry: retries.Retry = gapic_v1.method.DEFAULT, timeout: float = None, metadata: Sequence[Tuple[str, str]] = (), ) -> pagers.SearchMigratableResourcesAsyncPager: r"""Searches all of the resources in automl.googleapis.com, datalabeling.googleapis.com and ml.googleapis.com that can be migrated to Vertex AI's given location. Args: request (:class:`google.cloud.aiplatform_v1beta1.types.SearchMigratableResourcesRequest`): The request object. Request message for [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1beta1.MigrationService.SearchMigratableResources]. parent (:class:`str`): Required. The location that the migratable resources should be searched from. It's the Vertex AI location that the resources can be migrated to, not the resources' original location. Format: ``projects/{project}/locations/{location}`` This corresponds to the ``parent`` 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_v1beta1.services.migration_service.pagers.SearchMigratableResourcesAsyncPager: Response message for [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1beta1.MigrationService.SearchMigratableResources]. Iterating over this object will yield results and resolve additional pages automatically. """ # 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([parent]) 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 = migration_service.SearchMigratableResourcesRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if parent is not None: request.parent = parent # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = gapic_v1.method_async.wrap_method( self._client._transport.search_migratable_resources, default_timeout=None, 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(( ("parent", request.parent), )), ) # Send the request. response = await rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # This method is paged; wrap the response in a pager, which provides # an `__aiter__` convenience method. response = pagers.SearchMigratableResourcesAsyncPager( method=rpc, request=request, response=response, metadata=metadata, ) # Done; return the response. return response
def search_migratable_resources( self, request: Union[migration_service.SearchMigratableResourcesRequest, dict] = None, *, parent: str = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: float = None, metadata: Sequence[Tuple[str, str]] = (), ) -> pagers.SearchMigratableResourcesPager: r"""Searches all of the resources in automl.googleapis.com, datalabeling.googleapis.com and ml.googleapis.com that can be migrated to Vertex AI's given location. .. code-block:: from google.cloud import aiplatform_v1beta1 def sample_search_migratable_resources(): # Create a client client = aiplatform_v1beta1.MigrationServiceClient() # Initialize request argument(s) request = aiplatform_v1beta1.SearchMigratableResourcesRequest( parent="parent_value", ) # Make the request page_result = client.search_migratable_resources(request=request) # Handle the response for response in page_result: print(response) Args: request (Union[google.cloud.aiplatform_v1beta1.types.SearchMigratableResourcesRequest, dict]): The request object. Request message for [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1beta1.MigrationService.SearchMigratableResources]. parent (str): Required. The location that the migratable resources should be searched from. It's the Vertex AI location that the resources can be migrated to, not the resources' original location. Format: ``projects/{project}/locations/{location}`` This corresponds to the ``parent`` 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_v1beta1.services.migration_service.pagers.SearchMigratableResourcesPager: Response message for [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1beta1.MigrationService.SearchMigratableResources]. Iterating over this object will yield results and resolve additional pages automatically. """ # Create or coerce a protobuf request object. # Quick check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. has_flattened_params = any([parent]) 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 migration_service.SearchMigratableResourcesRequest. # There's no risk of modifying the input as we've already verified # there are no flattened fields. if not isinstance(request, migration_service.SearchMigratableResourcesRequest): request = migration_service.SearchMigratableResourcesRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if parent is not None: request.parent = parent # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[ self._transport.search_migratable_resources ] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), ) # Send the request. response = rpc(request, retry=retry, timeout=timeout, metadata=metadata,) # This method is paged; wrap the response in a pager, which provides # an `__iter__` convenience method. response = pagers.SearchMigratableResourcesPager( method=rpc, request=request, response=response, metadata=metadata, ) # Done; return the response. return response