async def test_synthesize_speech_flattened_async():
client = TextToSpeechAsyncClient(
credentials=credentials.AnonymousCredentials(), )
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.synthesize_speech),
"__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = cloud_tts.SynthesizeSpeechResponse()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
cloud_tts.SynthesizeSpeechResponse())
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.synthesize_speech(
input=cloud_tts.SynthesisInput(text="text_value"),
voice=cloud_tts.VoiceSelectionParams(
language_code="language_code_value"),
audio_config=cloud_tts.AudioConfig(
audio_encoding=cloud_tts.AudioEncoding.LINEAR16),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].input == cloud_tts.SynthesisInput(text="text_value")
assert args[0].voice == cloud_tts.VoiceSelectionParams(
language_code="language_code_value")
assert args[0].audio_config == cloud_tts.AudioConfig(
audio_encoding=cloud_tts.AudioEncoding.LINEAR16)
def test_synthesize_speech_flattened_error():
client = TextToSpeechClient(credentials=credentials.AnonymousCredentials())
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.synthesize_speech(
cloud_tts.SynthesizeSpeechRequest(),
input=cloud_tts.SynthesisInput(text="text_value"),
voice=cloud_tts.VoiceSelectionParams(
language_code="language_code_value"),
audio_config=cloud_tts.AudioConfig(
audio_encoding=cloud_tts.AudioEncoding.LINEAR16),
)