def test_batch_annotate_images_flattened():
    client = ImageAnnotatorClient(
        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 the method with a truthy value for each flattened field,
        # using the keyword arguments to the method.
        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) == 1
        _, args, _ = call.mock_calls[0]

        assert args[0].requests == [
            image_annotator.AnnotateImageRequest(image=image_annotator.Image(
                content=b"content_blob"))
        ]
def test_batch_annotate_images_flattened_error():
    client = ImageAnnotatorClient(
        credentials=credentials.AnonymousCredentials(), )

    # Attempting to call a method with both a request object and flattened
    # fields is an error.
    with pytest.raises(ValueError):
        client.batch_annotate_images(
            image_annotator.BatchAnnotateImagesRequest(),
            requests=[
                image_annotator.AnnotateImageRequest(
                    image=image_annotator.Image(content=b"content_blob"))
            ],
        )
def test_batch_annotate_images_empty_call():
    # This test is a coverage failsafe to make sure that totally empty calls,
    # i.e. request == None and no flattened fields passed, work.
    client = ImageAnnotatorClient(
        credentials=ga_credentials.AnonymousCredentials(),
        transport="grpc",
    )

    # 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:
        client.batch_annotate_images()
        call.assert_called()
        _, args, _ = call.mock_calls[0]
        assert args[0] == image_annotator.BatchAnnotateImagesRequest()
def test_batch_annotate_images(
        transport: str = "grpc",
        request_type=image_annotator.BatchAnnotateImagesRequest):
    client = ImageAnnotatorClient(
        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.batch_annotate_images),
                           "__call__") as call:
        # Designate an appropriate return value for the call.
        call.return_value = image_annotator.BatchAnnotateImagesResponse()

        response = client.batch_annotate_images(request)

        # Establish that the underlying gRPC stub method was called.
        assert len(call.mock_calls) == 1
        _, args, _ = call.mock_calls[0]

        assert args[0] == image_annotator.BatchAnnotateImagesRequest()

    # Establish that the response is the type that we expect.

    assert isinstance(response, image_annotator.BatchAnnotateImagesResponse)