def test_predict(self):
# Setup Expected Response
expected_response = {}
expected_response = prediction_service_pb2.PredictResponse(**expected_response)
# Mock the API response
channel = ChannelStub(responses=[expected_response])
patch = mock.patch("google.api_core.grpc_helpers.create_channel")
with patch as create_channel:
create_channel.return_value = channel
client = automl_v1beta1.PredictionServiceClient()
# Setup Request
name = client.model_path("[PROJECT]", "[LOCATION]", "[MODEL]")
payload = {}
response = client.predict(name, payload)
assert expected_response == response
assert len(channel.requests) == 1
expected_request = prediction_service_pb2.PredictRequest(
name=name, payload=payload
)
actual_request = channel.requests[0][1]
assert expected_request == actual_request
def test_predict(self):
# Setup Expected Response
expected_response = {}
expected_response = prediction_service_pb2.PredictResponse(
**expected_response)
# Mock the API response
channel = ChannelStub(responses=[expected_response])
client = automl_v1beta1.PredictionServiceClient(channel=channel)
# Setup Request
name = client.model_path('[PROJECT]', '[LOCATION]', '[MODEL]')
payload = {}
response = client.predict(name, payload)
assert expected_response == response
assert len(channel.requests) == 1
expected_request = prediction_service_pb2.PredictRequest(
name=name, payload=payload)
actual_request = channel.requests[0][1]
assert expected_request == actual_request
