Esempio n. 1
0
    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_v1beta1.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, 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_v1beta1.VideoIntelligenceServiceClient()

        # Setup Request
        input_uri = "gs://demomaker/cat.mp4"
        features_element = enums.Feature.LABEL_DETECTION
        features = [features_element]

        response = client.annotate_video(input_uri, 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
Esempio n. 3
0
    def test_annotate_video(self, mock_create_stub):
        # Mock gRPC layer
        grpc_stub = mock.Mock()
        mock_create_stub.return_value = grpc_stub

        client = videointelligence_v1beta1.VideoIntelligenceServiceClient()

        # Mock request
        input_uri = 'inputUri1707300727'
        features = []

        # Mock 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)
        grpc_stub.AnnotateVideo.return_value = operation

        response = client.annotate_video(input_uri, features)
        self.assertEqual(expected_response, response.result())

        grpc_stub.AnnotateVideo.assert_called_once()
        args, kwargs = grpc_stub.AnnotateVideo.call_args
        self.assertEqual(len(args), 2)
        self.assertEqual(len(kwargs), 1)
        self.assertIn('metadata', kwargs)
        actual_request = args[0]

        expected_request = video_intelligence_pb2.AnnotateVideoRequest(
            input_uri=input_uri, features=features)
        self.assertEqual(expected_request, actual_request)
    def annotate_video(self,
                       input_uri,
                       features,
                       input_content=None,
                       video_context=None,
                       output_uri=None,
                       location_id=None,
                       options=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_v1beta1
            >>> from google.cloud.videointelligence_v1beta1 import enums
            >>>
            >>> client = videointelligence_v1beta1.VideoIntelligenceServiceClient()
            >>>
            >>> input_uri = ''
            >>> features = []
            >>>
            >>> response = client.annotate_video(input_uri, 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.
            features (list[~google.cloud.videointelligence_v1beta1.types.Feature]): Requested video annotation features.
            input_content (str): The video data bytes. Encoding: base64. If unset, the input video(s)
                should be specified via ``input_uri``. If set, ``input_uri`` should be unset.
            video_context (Union[dict, ~google.cloud.videointelligence_v1beta1.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_v1beta1.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.
            options (~google.gax.CallOptions): Overrides the default
                settings for this call, e.g, timeout, retries etc.

        Returns:
            A :class:`~google.cloud.videointelligence_v1beta1.types._OperationFuture` instance.

        Raises:
            :exc:`google.gax.errors.GaxError` if the RPC is aborted.
            :exc:`ValueError` if the parameters are invalid.
        """
        request = video_intelligence_pb2.AnnotateVideoRequest(
            input_uri=input_uri,
            features=features,
            input_content=input_content,
            video_context=video_context,
            output_uri=output_uri,
            location_id=location_id)
        return google.gax._OperationFuture(
            self._annotate_video(request, options), self.operations_client,
            video_intelligence_pb2.AnnotateVideoResponse,
            video_intelligence_pb2.AnnotateVideoProgress, options)
    def annotate_video(self,
                       input_uri,
                       features,
                       input_content=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_v1beta1
            >>> from google.cloud.videointelligence_v1beta1 import enums
            >>>
            >>> client = videointelligence_v1beta1.VideoIntelligenceServiceClient()
            >>>
            >>> input_uri = 'gs://demomaker/cat.mp4'
            >>> features_element = enums.Feature.LABEL_DETECTION
            >>> features = [features_element]
            >>>
            >>> response = client.annotate_video(input_uri, 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.
            features (list[~google.cloud.videointelligence_v1beta1.types.Feature]): Requested video annotation features.
            input_content (str): The video data bytes. Encoding: base64. If unset, the input video(s)
                should be specified via ``input_uri``. If set, ``input_uri`` should be unset.
            video_context (Union[dict, ~google.cloud.videointelligence_v1beta1.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_v1beta1.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 not
                be retried.
            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_v1beta1.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,
            features=features,
            input_content=input_content,
            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,
        )