def test_annotate_video(self): # Setup Expected Response expected_response = {} expected_response = video_intelligence_pb2.AnnotateVideoResponse( **expected_response) operation = operations_pb2.Operation( name='operations/test_annotate_video', done=True) operation.response.Pack(expected_response) # Mock the API response channel = ChannelStub(responses=[operation]) client = videointelligence_v1p1beta1.VideoIntelligenceServiceClient( channel=channel) # Setup Request input_uri = 'gs://demomaker/cat.mp4' features_element = enums.Feature.LABEL_DETECTION features = [features_element] response = client.annotate_video( input_uri=input_uri, features=features) result = response.result() assert expected_response == result assert len(channel.requests) == 1 expected_request = video_intelligence_pb2.AnnotateVideoRequest( input_uri=input_uri, features=features) actual_request = channel.requests[0][1] assert expected_request == actual_request
def test_annotate_video(self): # Setup Expected Response expected_response = {} expected_response = video_intelligence_pb2.AnnotateVideoResponse( **expected_response) operation = operations_pb2.Operation( name="operations/test_annotate_video", 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 = videointelligence_v1p1beta1.VideoIntelligenceServiceClient( ) # Setup Request features_element = enums.Feature.LABEL_DETECTION features = [features_element] input_uri = "gs://cloud-samples-data/video/cat.mp4" response = client.annotate_video(features, input_uri=input_uri) result = response.result() assert expected_response == result assert len(channel.requests) == 1 expected_request = video_intelligence_pb2.AnnotateVideoRequest( features=features, input_uri=input_uri) actual_request = channel.requests[0][1] assert expected_request == actual_request
def annotate_video( self, input_uri=None, input_content=None, features=None, video_context=None, output_uri=None, location_id=None, retry=google.api_core.gapic_v1.method.DEFAULT, timeout=google.api_core.gapic_v1.method.DEFAULT, metadata=None, ): """ Performs asynchronous video annotation. Progress and results can be retrieved through the ``google.longrunning.Operations`` interface. ``Operation.metadata`` contains ``AnnotateVideoProgress`` (progress). ``Operation.response`` contains ``AnnotateVideoResponse`` (results). Example: >>> from google.cloud import videointelligence_v1p1beta1 >>> from google.cloud.videointelligence_v1p1beta1 import enums >>> >>> client = videointelligence_v1p1beta1.VideoIntelligenceServiceClient() >>> >>> input_uri = 'gs://cloud-samples-data/video/cat.mp4' >>> features_element = enums.Feature.LABEL_DETECTION >>> features = [features_element] >>> >>> response = client.annotate_video(input_uri=input_uri, features=features) >>> >>> def callback(operation_future): ... # Handle result. ... result = operation_future.result() >>> >>> response.add_done_callback(callback) >>> >>> # Handle metadata. >>> metadata = response.metadata() Args: input_uri (str): Input video location. Currently, only `Google Cloud Storage <https://cloud.google.com/storage/>`__ URIs are supported, which must be specified in the following format: ``gs://bucket-id/object-id`` (other URI formats return ``google.rpc.Code.INVALID_ARGUMENT``). For more information, see `Request URIs <https://cloud.google.com/storage/docs/reference-uris>`__. A video URI may include wildcards in ``object-id``, and thus identify multiple videos. Supported wildcards: '\*' to match 0 or more characters; '?' to match 1 character. If unset, the input video should be embedded in the request as ``input_content``. If set, ``input_content`` should be unset. input_content (bytes): The video data bytes. If unset, the input video(s) should be specified via ``input_uri``. If set, ``input_uri`` should be unset. features (list[~google.cloud.videointelligence_v1p1beta1.types.Feature]): Required. Requested video annotation features. video_context (Union[dict, ~google.cloud.videointelligence_v1p1beta1.types.VideoContext]): Additional video context and/or feature-specific parameters. If a dict is provided, it must be of the same form as the protobuf message :class:`~google.cloud.videointelligence_v1p1beta1.types.VideoContext` output_uri (str): Optional. Location where the output (in JSON format) should be stored. Currently, only `Google Cloud Storage <https://cloud.google.com/storage/>`__ URIs are supported, which must be specified in the following format: ``gs://bucket-id/object-id`` (other URI formats return ``google.rpc.Code.INVALID_ARGUMENT``). For more information, see `Request URIs <https://cloud.google.com/storage/docs/reference-uris>`__. location_id (str): Optional. Cloud region where annotation should take place. Supported cloud regions: ``us-east1``, ``us-west1``, ``europe-west1``, ``asia-east1``. If no region is specified, a region will be determined based on video file location. 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.videointelligence_v1p1beta1.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 "annotate_video" not in self._inner_api_calls: self._inner_api_calls[ "annotate_video" ] = google.api_core.gapic_v1.method.wrap_method( self.transport.annotate_video, default_retry=self._method_configs["AnnotateVideo"].retry, default_timeout=self._method_configs["AnnotateVideo"].timeout, client_info=self._client_info, ) request = video_intelligence_pb2.AnnotateVideoRequest( input_uri=input_uri, input_content=input_content, features=features, video_context=video_context, output_uri=output_uri, location_id=location_id, ) operation = self._inner_api_calls["annotate_video"]( request, retry=retry, timeout=timeout, metadata=metadata ) return google.api_core.operation.from_gapic( operation, self.transport._operations_client, video_intelligence_pb2.AnnotateVideoResponse, metadata_type=video_intelligence_pb2.AnnotateVideoProgress, )