async def test_recognize_async(transport: str = "grpc_asyncio", request_type=cloud_speech.RecognizeRequest): client = SpeechAsyncClient( credentials=credentials.AnonymousCredentials(), transport=transport, ) # Everything is optional in proto3 as far as the runtime is concerned, # and we are mocking out the actual API, so just send an empty request. request = request_type() # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client.transport.recognize), "__call__") as call: # Designate an appropriate return value for the call. call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( cloud_speech.RecognizeResponse()) response = await client.recognize(request) # Establish that the underlying gRPC stub method was called. assert len(call.mock_calls) _, args, _ = call.mock_calls[0] assert args[0] == cloud_speech.RecognizeRequest() # Establish that the response is the type that we expect. assert isinstance(response, cloud_speech.RecognizeResponse)
def test_recognize_flattened_error(): client = SpeechClient(credentials=credentials.AnonymousCredentials(), ) # Attempting to call a method with both a request object and flattened # fields is an error. with pytest.raises(ValueError): client.recognize( cloud_speech.RecognizeRequest(), config=cloud_speech.RecognitionConfig( encoding=cloud_speech.RecognitionConfig.AudioEncoding.LINEAR16 ), audio=cloud_speech.RecognitionAudio(content=b"content_blob"), )
def recognize( self, request: cloud_speech.RecognizeRequest = None, *, config: cloud_speech.RecognitionConfig = None, audio: cloud_speech.RecognitionAudio = None, retry: retries.Retry = gapic_v1.method.DEFAULT, timeout: float = None, metadata: Sequence[Tuple[str, str]] = (), ) -> cloud_speech.RecognizeResponse: r"""Performs synchronous speech recognition: receive results after all audio has been sent and processed. Args: request (google.cloud.speech_v1.types.RecognizeRequest): The request object. The top-level message sent by the client for the `Recognize` method. config (google.cloud.speech_v1.types.RecognitionConfig): Required. Provides information to the recognizer that specifies how to process the request. This corresponds to the ``config`` field on the ``request`` instance; if ``request`` is provided, this should not be set. audio (google.cloud.speech_v1.types.RecognitionAudio): Required. The audio data to be recognized. This corresponds to the ``audio`` field on the ``request`` instance; if ``request`` is provided, this should not be set. retry (google.api_core.retry.Retry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, str]]): Strings which should be sent along with the request as metadata. Returns: google.cloud.speech_v1.types.RecognizeResponse: The only message returned to the client by the Recognize method. It contains the result as zero or more sequential SpeechRecognitionResult messages. """ # Create or coerce a protobuf request object. # Sanity check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. has_flattened_params = any([config, audio]) if request is not None and has_flattened_params: raise ValueError("If the `request` argument is set, then none of " "the individual field arguments should be set.") # Minor optimization to avoid making a copy if the user passes # in a cloud_speech.RecognizeRequest. # There's no risk of modifying the input as we've already verified # there are no flattened fields. if not isinstance(request, cloud_speech.RecognizeRequest): request = cloud_speech.RecognizeRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if config is not None: request.config = config if audio is not None: request.audio = audio # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.recognize] # Send the request. response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Done; return the response. return response
async def recognize( self, request: cloud_speech.RecognizeRequest = None, *, config: cloud_speech.RecognitionConfig = None, audio: cloud_speech.RecognitionAudio = None, retry: retries.Retry = gapic_v1.method.DEFAULT, timeout: float = None, metadata: Sequence[Tuple[str, str]] = (), ) -> cloud_speech.RecognizeResponse: r"""Performs synchronous speech recognition: receive results after all audio has been sent and processed. Args: request (:class:`google.cloud.speech_v1.types.RecognizeRequest`): The request object. The top-level message sent by the client for the `Recognize` method. config (:class:`google.cloud.speech_v1.types.RecognitionConfig`): Required. Provides information to the recognizer that specifies how to process the request. This corresponds to the ``config`` field on the ``request`` instance; if ``request`` is provided, this should not be set. audio (:class:`google.cloud.speech_v1.types.RecognitionAudio`): Required. The audio data to be recognized. This corresponds to the ``audio`` field on the ``request`` instance; if ``request`` is provided, this should not be set. retry (google.api_core.retry.Retry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, str]]): Strings which should be sent along with the request as metadata. Returns: google.cloud.speech_v1.types.RecognizeResponse: The only message returned to the client by the Recognize method. It contains the result as zero or more sequential SpeechRecognitionResult messages. """ # Create or coerce a protobuf request object. # Sanity check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. has_flattened_params = any([config, audio]) if request is not None and has_flattened_params: raise ValueError("If the `request` argument is set, then none of " "the individual field arguments should be set.") request = cloud_speech.RecognizeRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if config is not None: request.config = config if audio is not None: request.audio = audio # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = gapic_v1.method_async.wrap_method( self._client._transport.recognize, default_retry=retries.Retry( initial=0.1, maximum=60.0, multiplier=1.3, predicate=retries.if_exception_type( core_exceptions.DeadlineExceeded, core_exceptions.ServiceUnavailable, ), deadline=5000.0, ), default_timeout=5000.0, client_info=DEFAULT_CLIENT_INFO, ) # Send the request. response = await rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Done; return the response. return response