def batch_process_documents( self, request: document_processor_service.BatchProcessRequest = None, *, name: str = None, retry: retries.Retry = gapic_v1.method.DEFAULT, timeout: float = None, metadata: Sequence[Tuple[str, str]] = (), ) -> operation.Operation: r"""LRO endpoint to batch process many documents. The output is written to Cloud Storage as JSON in the [Document] format. Args: request (google.cloud.documentai_v1beta3.types.BatchProcessRequest): The request object. Request message for batch process document method. name (str): Required. The processor resource name. This corresponds to the ``name`` 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.api_core.operation.Operation: An object representing a long-running operation. The result type for the operation will be :class:`google.cloud.documentai_v1beta3.types.BatchProcessResponse` Response message for batch process document method. """ # 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([name]) 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 document_processor_service.BatchProcessRequest. # There's no risk of modifying the input as we've already verified # there are no flattened fields. if not isinstance(request, document_processor_service.BatchProcessRequest): request = document_processor_service.BatchProcessRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if name is not None: request.name = name # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[ self._transport.batch_process_documents] # 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), )), ) # Send the request. response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Wrap the response in an operation future. response = operation.from_gapic( response, self._transport.operations_client, document_processor_service.BatchProcessResponse, metadata_type=document_processor_service.BatchProcessMetadata, ) # Done; return the response. return response
async def batch_process_documents( self, request: document_processor_service.BatchProcessRequest = None, *, name: str = None, retry: retries.Retry = gapic_v1.method.DEFAULT, timeout: float = None, metadata: Sequence[Tuple[str, str]] = (), ) -> operation_async.AsyncOperation: r"""LRO endpoint to batch process many documents. The output is written to Cloud Storage as JSON in the [Document] format. Args: request (:class:`google.cloud.documentai_v1beta3.types.BatchProcessRequest`): The request object. Request message for batch process document method. name (:class:`str`): Required. The processor resource name. This corresponds to the ``name`` 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.api_core.operation_async.AsyncOperation: An object representing a long-running operation. The result type for the operation will be :class:`google.cloud.documentai_v1beta3.types.BatchProcessResponse` Response message for batch process document method. """ # 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([name]) 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 = document_processor_service.BatchProcessRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if name is not None: request.name = name # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = gapic_v1.method_async.wrap_method( self._client._transport.batch_process_documents, default_retry=retries.Retry( initial=0.1, maximum=60.0, multiplier=1.3, predicate=retries.if_exception_type( exceptions.DeadlineExceeded, exceptions.ServiceUnavailable, ), deadline=120.0, ), default_timeout=120.0, 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((("name", request.name),)), ) # 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, document_processor_service.BatchProcessResponse, metadata_type=document_processor_service.BatchProcessMetadata, ) # Done; return the response. return response