def test_async_batch_annotate_images(self):
# Setup Expected Response
expected_response = {}
expected_response = image_annotator_pb2.AsyncBatchAnnotateImagesResponse(
**expected_response)
operation = operations_pb2.Operation(
name="operations/test_async_batch_annotate_images", done=True)
operation.response.Pack(expected_response)
# Mock the API response
channel = ChannelStub(responses=[operation])
patch = mock.patch("google.api_core.grpc_helpers.create_channel")
with patch as create_channel:
create_channel.return_value = channel
client = vision_v1p4beta1.ImageAnnotatorClient()
# Setup Request
requests = []
output_config = {}
response = client.async_batch_annotate_images(requests, output_config)
result = response.result()
assert expected_response == result
assert len(channel.requests) == 1
expected_request = image_annotator_pb2.AsyncBatchAnnotateImagesRequest(
requests=requests, output_config=output_config)
actual_request = channel.requests[0][1]
assert expected_request == actual_request
def async_batch_annotate_images(
self,
requests,
output_config,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Run asynchronous image detection and annotation for a list of images.
Progress and results can be retrieved through the
``google.longrunning.Operations`` interface. ``Operation.metadata``
contains ``OperationMetadata`` (metadata). ``Operation.response``
contains ``AsyncBatchAnnotateImagesResponse`` (results).
This service will write image annotation outputs to json files in
customer GCS bucket, each json file containing
BatchAnnotateImagesResponse proto.
Example:
>>> from google.cloud import vision_v1p4beta1
>>>
>>> client = vision_v1p4beta1.ImageAnnotatorClient()
>>>
>>> # TODO: Initialize `requests`:
>>> requests = []
>>>
>>> # TODO: Initialize `output_config`:
>>> output_config = {}
>>>
>>> response = client.async_batch_annotate_images(requests, output_config)
>>>
>>> def callback(operation_future):
... # Handle result.
... result = operation_future.result()
>>>
>>> response.add_done_callback(callback)
>>>
>>> # Handle metadata.
>>> metadata = response.metadata()
Args:
requests (list[Union[dict, ~google.cloud.vision_v1p4beta1.types.AnnotateImageRequest]]): Required. Individual image annotation requests for this batch.
If a dict is provided, it must be of the same form as the protobuf
message :class:`~google.cloud.vision_v1p4beta1.types.AnnotateImageRequest`
output_config (Union[dict, ~google.cloud.vision_v1p4beta1.types.OutputConfig]): Required. The desired output location and metadata (e.g. format).
If a dict is provided, it must be of the same form as the protobuf
message :class:`~google.cloud.vision_v1p4beta1.types.OutputConfig`
retry (Optional[google.api_core.retry.Retry]): A retry object used
to retry requests. If ``None`` is specified, requests will
be retried using a default configuration.
timeout (Optional[float]): The amount of time, in seconds, to wait
for the request to complete. Note that if ``retry`` is
specified, the timeout applies to each individual attempt.
metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata
that is provided to the method.
Returns:
A :class:`~google.cloud.vision_v1p4beta1.types._OperationFuture` instance.
Raises:
google.api_core.exceptions.GoogleAPICallError: If the request
failed for any reason.
google.api_core.exceptions.RetryError: If the request failed due
to a retryable error and retry attempts failed.
ValueError: If the parameters are invalid.
"""
# Wrap the transport method to add retry and timeout logic.
if "async_batch_annotate_images" not in self._inner_api_calls:
self._inner_api_calls[
"async_batch_annotate_images"
] = google.api_core.gapic_v1.method.wrap_method(
self.transport.async_batch_annotate_images,
default_retry=self._method_configs["AsyncBatchAnnotateImages"].retry,
default_timeout=self._method_configs[
"AsyncBatchAnnotateImages"
].timeout,
client_info=self._client_info,
)
request = image_annotator_pb2.AsyncBatchAnnotateImagesRequest(
requests=requests, output_config=output_config
)
operation = self._inner_api_calls["async_batch_annotate_images"](
request, retry=retry, timeout=timeout, metadata=metadata
)
return google.api_core.operation.from_gapic(
operation,
self.transport._operations_client,
image_annotator_pb2.AsyncBatchAnnotateImagesResponse,
metadata_type=image_annotator_pb2.OperationMetadata,
)
