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")) ], )