async def test_batch_annotate_images_flattened_async(): client = ImageAnnotatorAsyncClient(credentials=credentials.AnonymousCredentials(),) # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object( type(client.transport.batch_annotate_images), "__call__" ) as call: # Designate an appropriate return value for the call. call.return_value = image_annotator.BatchAnnotateImagesResponse() call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( image_annotator.BatchAnnotateImagesResponse() ) # Call the method with a truthy value for each flattened field, # using the keyword arguments to the method. response = await client.batch_annotate_images( requests=[ image_annotator.AnnotateImageRequest( image=image_annotator.Image(content=b"content_blob") ) ], ) # Establish that the underlying call was made with the expected # request object values. assert len(call.mock_calls) _, args, _ = call.mock_calls[0] assert args[0].requests == [ image_annotator.AnnotateImageRequest( image=image_annotator.Image(content=b"content_blob") ) ]
async def test_batch_annotate_images_flattened_error_async(): client = ImageAnnotatorAsyncClient(credentials=credentials.AnonymousCredentials(),) # Attempting to call a method with both a request object and flattened # fields is an error. with pytest.raises(ValueError): await client.batch_annotate_images( image_annotator.BatchAnnotateImagesRequest(), requests=[ image_annotator.AnnotateImageRequest( image=image_annotator.Image(content=b"content_blob") ) ], )
def batch_annotate_images( self, request: image_annotator.BatchAnnotateImagesRequest = None, *, requests: Sequence[image_annotator.AnnotateImageRequest] = None, retry: retries.Retry = gapic_v1.method.DEFAULT, timeout: float = None, metadata: Sequence[Tuple[str, str]] = (), ) -> image_annotator.BatchAnnotateImagesResponse: r"""Run image detection and annotation for a batch of images. Args: request (google.cloud.vision_v1p3beta1.types.BatchAnnotateImagesRequest): The request object. Multiple image annotation requests are batched into a single service call. requests (Sequence[google.cloud.vision_v1p3beta1.types.AnnotateImageRequest]): Individual image annotation requests for this batch. This corresponds to the ``requests`` 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.vision_v1p3beta1.types.BatchAnnotateImagesResponse: Response to a batch image annotation request. """ # 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([requests]) 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 image_annotator.BatchAnnotateImagesRequest. # There's no risk of modifying the input as we've already verified # there are no flattened fields. if not isinstance(request, image_annotator.BatchAnnotateImagesRequest): request = image_annotator.BatchAnnotateImagesRequest(request) if requests is not None: for i in range(len(requests)): requests[i] = image_annotator.AnnotateImageRequest( requests[i]) # If we have keyword arguments corresponding to fields on the # request, apply these. if requests is not None: request.requests = requests # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[ self._transport.batch_annotate_images] # Send the request. response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Done; return the response. return response