示例#1
0
    def test_long_running_recognize(self):
        # Setup Expected Response
        expected_response = {}
        expected_response = cloud_speech_pb2.LongRunningRecognizeResponse(
            **expected_response)
        operation = operations_pb2.Operation(
            name='operations/test_long_running_recognize', done=True)
        operation.response.Pack(expected_response)

        # Mock the API response
        channel = ChannelStub(responses=[operation])
        client = speech_v1p1beta1.SpeechClient(channel=channel)

        # Setup Request
        encoding = enums.RecognitionConfig.AudioEncoding.FLAC
        sample_rate_hertz = 44100
        language_code = 'en-US'
        config = {
            'encoding': encoding,
            'sample_rate_hertz': sample_rate_hertz,
            'language_code': language_code
        }
        uri = 'gs://bucket_name/file_name.flac'
        audio = {'uri': uri}

        response = client.long_running_recognize(config, audio)
        result = response.result()
        assert expected_response == result

        assert len(channel.requests) == 1
        expected_request = cloud_speech_pb2.LongRunningRecognizeRequest(
            config=config, audio=audio)
        actual_request = channel.requests[0][1]
        assert expected_request == actual_request
示例#2
0
 def load_response(self, json_path):
     response_json = json.load(Path(json_path).open("r"))
     if self.api == "speech":
         response = json_format.Parse(
             response_json, cloud_speech_pb2.LongRunningRecognizeResponse())
     elif self.api == "video":
         response = json_format.Parse(
             response_json,
             _video_intelligence.AnnotateVideoResponse()._pb)
     return response
    def test_long_running_recognize(self):
        # Setup Expected Response
        expected_response = {}
        expected_response = cloud_speech_pb2.LongRunningRecognizeResponse(
            **expected_response)
        operation = operations_pb2.Operation(
            name="operations/test_long_running_recognize", 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 = speech_v1p1beta1.SpeechClient()

        # Setup Request
        encoding = enums.RecognitionConfig.AudioEncoding.FLAC
        sample_rate_hertz = 44100
        language_code = "en-US"
        config = {
            "encoding": encoding,
            "sample_rate_hertz": sample_rate_hertz,
            "language_code": language_code,
        }
        uri = "gs://bucket_name/file_name.flac"
        audio = {"uri": uri}

        response = client.long_running_recognize(config, audio)
        result = response.result()
        assert expected_response == result

        assert len(channel.requests) == 1
        expected_request = cloud_speech_pb2.LongRunningRecognizeRequest(
            config=config, audio=audio)
        actual_request = channel.requests[0][1]
        assert expected_request == actual_request