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"))
],
)
