async def test_async_batch_annotate_files_async( transport: str = "grpc_asyncio", request_type=image_annotator.AsyncBatchAnnotateFilesRequest, ): client = ImageAnnotatorAsyncClient( credentials=credentials.AnonymousCredentials(), transport=transport, ) # Everything is optional in proto3 as far as the runtime is concerned, # and we are mocking out the actual API, so just send an empty request. request = request_type() # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object( type(client.transport.async_batch_annotate_files), "__call__" ) as call: # Designate an appropriate return value for the call. call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( operations_pb2.Operation(name="operations/spam") ) response = await client.async_batch_annotate_files(request) # Establish that the underlying gRPC stub method was called. assert len(call.mock_calls) _, args, _ = call.mock_calls[0] assert args[0] == image_annotator.AsyncBatchAnnotateFilesRequest() # Establish that the response is the type that we expect. assert isinstance(response, future.Future)
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_async_batch_annotate_files_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.async_batch_annotate_files), "__call__") as call: # Designate an appropriate return value for the call. call.return_value = operations_pb2.Operation(name="operations/op") call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( operations_pb2.Operation(name="operations/spam")) # Call the method with a truthy value for each flattened field, # using the keyword arguments to the method. response = await client.async_batch_annotate_files(requests=[ image_annotator.AsyncAnnotateFileRequest( input_config=image_annotator.InputConfig( gcs_source=image_annotator.GcsSource(uri="uri_value"))) ], ) # 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.AsyncAnnotateFileRequest( input_config=image_annotator.InputConfig( gcs_source=image_annotator.GcsSource(uri="uri_value"))) ]
def test_image_annotator_grpc_lro_async_client(): client = ImageAnnotatorAsyncClient( credentials=credentials.AnonymousCredentials(), transport="grpc_asyncio", ) transport = client.transport # Ensure that we have a api-core operations client. assert isinstance(transport.operations_client, operations_v1.OperationsAsyncClient,) # Ensure that subsequent calls to the property send the exact same object. assert transport.operations_client is transport.operations_client
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") ) ], )
async def test_async_batch_annotate_files_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.async_batch_annotate_files( image_annotator.AsyncBatchAnnotateFilesRequest(), requests=[ image_annotator.AsyncAnnotateFileRequest( input_config=image_annotator.InputConfig( gcs_source=image_annotator.GcsSource(uri="uri_value"))) ], )