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_v1.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
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_v1.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
def long_running_recognize(
self,
config,
audio,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Performs asynchronous speech recognition: receive results via the
google.longrunning.Operations interface. Returns either an
``Operation.error`` or an ``Operation.response`` which contains a
``LongRunningRecognizeResponse`` message. For more information on
asynchronous speech recognition, see the
`how-to <https://cloud.google.com/speech-to-text/docs/async-recognize>`__.
Example:
>>> from google.cloud import speech_v1
>>> from google.cloud.speech_v1 import enums
>>>
>>> client = speech_v1.SpeechClient()
>>>
>>> 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)
>>>
>>> def callback(operation_future):
... # Handle result.
... result = operation_future.result()
>>>
>>> response.add_done_callback(callback)
>>>
>>> # Handle metadata.
>>> metadata = response.metadata()
Args:
config (Union[dict, ~google.cloud.speech_v1.types.RecognitionConfig]): Required. Provides information to the recognizer that specifies how to
process the request.
If a dict is provided, it must be of the same form as the protobuf
message :class:`~google.cloud.speech_v1.types.RecognitionConfig`
audio (Union[dict, ~google.cloud.speech_v1.types.RecognitionAudio]): Required. The audio data to be recognized.
If a dict is provided, it must be of the same form as the protobuf
message :class:`~google.cloud.speech_v1.types.RecognitionAudio`
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.speech_v1.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 "long_running_recognize" not in self._inner_api_calls:
self._inner_api_calls[
"long_running_recognize"] = google.api_core.gapic_v1.method.wrap_method(
self.transport.long_running_recognize,
default_retry=self._method_configs["LongRunningRecognize"].
retry,
default_timeout=self.
_method_configs["LongRunningRecognize"].timeout,
client_info=self._client_info,
)
request = cloud_speech_pb2.LongRunningRecognizeRequest(config=config,
audio=audio)
operation = self._inner_api_calls["long_running_recognize"](
request, retry=retry, timeout=timeout, metadata=metadata)
return google.api_core.operation.from_gapic(
operation,
self.transport._operations_client,
cloud_speech_pb2.LongRunningRecognizeResponse,
metadata_type=cloud_speech_pb2.LongRunningRecognizeMetadata,
)
