async def test_recognize_flattened_async():
client = SpeechAsyncClient(
credentials=credentials.AnonymousCredentials(), )
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client._client._transport.recognize),
"__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = cloud_speech.RecognizeResponse()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
cloud_speech.RecognizeResponse())
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.recognize(
config=cloud_speech.RecognitionConfig(
encoding=cloud_speech.RecognitionConfig.AudioEncoding.LINEAR16
),
audio=cloud_speech.RecognitionAudio(content=b"content_blob"),
)
# 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].config == cloud_speech.RecognitionConfig(
encoding=cloud_speech.RecognitionConfig.AudioEncoding.LINEAR16)
assert args[0].audio == cloud_speech.RecognitionAudio(
content=b"content_blob")
async def test_recognize_async(transport: str = "grpc_asyncio"):
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 = cloud_speech.RecognizeRequest()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client._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] == request
# Establish that the response is the type that we expect.
assert isinstance(response, cloud_speech.RecognizeResponse)