def test_async_batch_annotate_files_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.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 the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
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) == 1
_, 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")
)
)
]
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")))
],
)
def async_batch_annotate_files(
self,
request: image_annotator.AsyncBatchAnnotateFilesRequest = None,
*,
requests: Sequence[
image_annotator.AsyncAnnotateFileRequest] = None,
retry: retries.Retry = gapic_v1.method.DEFAULT,
timeout: float = None,
metadata: Sequence[Tuple[str, str]] = (),
) -> operation.Operation:
r"""Run asynchronous image detection and annotation for a list of
generic files, such as PDF files, which may contain multiple
pages and multiple images per page. Progress and results can be
retrieved through the ``google.longrunning.Operations``
interface. ``Operation.metadata`` contains ``OperationMetadata``
(metadata). ``Operation.response`` contains
``AsyncBatchAnnotateFilesResponse`` (results).
Args:
request (google.cloud.vision_v1p3beta1.types.AsyncBatchAnnotateFilesRequest):
The request object. Multiple async file annotation
requests are batched into a single service call.
requests (Sequence[google.cloud.vision_v1p3beta1.types.AsyncAnnotateFileRequest]):
Required. Individual async file
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.api_core.operation.Operation:
An object representing a long-running operation.
The result type for the operation will be
:class:`google.cloud.vision_v1p3beta1.types.AsyncBatchAnnotateFilesResponse`
Response to an async batch file 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.AsyncBatchAnnotateFilesRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request,
image_annotator.AsyncBatchAnnotateFilesRequest):
request = image_annotator.AsyncBatchAnnotateFilesRequest(request)
if requests is not None:
for i in range(len(requests)):
requests[i] = image_annotator.AsyncAnnotateFileRequest(
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.async_batch_annotate_files]
# Send the request.
response = rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Wrap the response in an operation future.
response = operation.from_gapic(
response,
self._transport.operations_client,
image_annotator.AsyncBatchAnnotateFilesResponse,
metadata_type=image_annotator.OperationMetadata,
)
# Done; return the response.
return response
