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") ) ], )