def batch_annotate_images(
self,
requests,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Run image detection and annotation for a batch of images.
Example:
>>> from google.cloud import vision_v1p3beta1
>>>
>>> client = vision_v1p3beta1.ImageAnnotatorClient()
>>>
>>> # TODO: Initialize `requests`:
>>> requests = []
>>>
>>> response = client.batch_annotate_images(requests)
Args:
requests (list[Union[dict, ~google.cloud.vision_v1p3beta1.types.AnnotateImageRequest]]): 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_v1p3beta1.types.AnnotateImageRequest`
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_v1p3beta1.types.BatchAnnotateImagesResponse` 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 "batch_annotate_images" not in self._inner_api_calls:
self._inner_api_calls[
"batch_annotate_images"] = google.api_core.gapic_v1.method.wrap_method(
self.transport.batch_annotate_images,
default_retry=self._method_configs["BatchAnnotateImages"].
retry,
default_timeout=self.
_method_configs["BatchAnnotateImages"].timeout,
client_info=self._client_info,
)
request = image_annotator_pb2.BatchAnnotateImagesRequest(
requests=requests)
return self._inner_api_calls["batch_annotate_images"](
request, retry=retry, timeout=timeout, metadata=metadata)
def test_batch_annotate_images(self):
# Setup Expected Response
expected_response = {}
expected_response = image_annotator_pb2.BatchAnnotateImagesResponse(
**expected_response)
# Mock the API response
channel = ChannelStub(responses=[expected_response])
client = vision_v1p3beta1.ImageAnnotatorClient(channel=channel)
# Setup Request
requests = []
response = client.batch_annotate_images(requests)
assert expected_response == response
assert len(channel.requests) == 1
expected_request = image_annotator_pb2.BatchAnnotateImagesRequest(
requests=requests)
actual_request = channel.requests[0][1]
assert expected_request == actual_request
def test_batch_annotate_images(self):
# Setup Expected Response
expected_response = {}
expected_response = image_annotator_pb2.BatchAnnotateImagesResponse(
**expected_response
)
# Mock the API response
channel = ChannelStub(responses=[expected_response])
patch = mock.patch("google.api_core.grpc_helpers.create_channel")
with patch as create_channel:
create_channel.return_value = channel
client = vision_v1p3beta1.ImageAnnotatorClient()
response = client.batch_annotate_images()
assert expected_response == response
assert len(channel.requests) == 1
expected_request = image_annotator_pb2.BatchAnnotateImagesRequest()
actual_request = channel.requests[0][1]
assert expected_request == actual_request