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"))
],
)
def batch_annotate_images(
self,
request: Union[image_annotator.BatchAnnotateImagesRequest,
dict] = None,
*,
requests: Sequence[image_annotator.AnnotateImageRequest] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: float = None,
metadata: Sequence[Tuple[str, str]] = (),
) -> image_annotator.BatchAnnotateImagesResponse:
r"""Run image detection and annotation for a batch of
images.
Args:
request (Union[google.cloud.vision_v1p1beta1.types.BatchAnnotateImagesRequest, dict]):
The request object. Multiple image annotation requests
are batched into a single service call.
requests (Sequence[google.cloud.vision_v1p1beta1.types.AnnotateImageRequest]):
Required. Individual image annotation
requests for this batch.
This corresponds to the ``requests`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
retry (google.api_core.retry.Retry): Designation of what errors, if any,
should be retried.
timeout (float): The timeout for this request.
metadata (Sequence[Tuple[str, str]]): Strings which should be
sent along with the request as metadata.
Returns:
google.cloud.vision_v1p1beta1.types.BatchAnnotateImagesResponse:
Response to a batch image annotation
request.
"""
# Create or coerce a protobuf request object.
# Sanity check: If we got a request object, we should *not* have
# gotten any keyword arguments that map to the request.
has_flattened_params = any([requests])
if request is not None and has_flattened_params:
raise ValueError("If the `request` argument is set, then none of "
"the individual field arguments should be set.")
# Minor optimization to avoid making a copy if the user passes
# in a image_annotator.BatchAnnotateImagesRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, image_annotator.BatchAnnotateImagesRequest):
request = image_annotator.BatchAnnotateImagesRequest(request)
if requests is not None:
for i in range(len(requests)):
requests[i] = image_annotator.AnnotateImageRequest(
requests[i])
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if requests is not None:
request.requests = requests
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[
self._transport.batch_annotate_images]
# Send the request.
response = rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
