def test_list_model_evaluations(self): # Setup Expected Response next_page_token = "" model_evaluation_element = {} model_evaluation = [model_evaluation_element] expected_response = { "next_page_token": next_page_token, "model_evaluation": model_evaluation, } expected_response = service_pb2.ListModelEvaluationsResponse( **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.AutoMlClient() # Setup Request parent = client.model_path("[PROJECT]", "[LOCATION]", "[MODEL]") paged_list_response = client.list_model_evaluations(parent) resources = list(paged_list_response) assert len(resources) == 1 assert expected_response.model_evaluation[0] == resources[0] assert len(channel.requests) == 1 expected_request = service_pb2.ListModelEvaluationsRequest(parent=parent) actual_request = channel.requests[0][1] assert expected_request == actual_request
def test_list_model_evaluations(self): # Setup Expected Response next_page_token = '' model_evaluation_element = {} model_evaluation = [model_evaluation_element] expected_response = { 'next_page_token': next_page_token, 'model_evaluation': model_evaluation } expected_response = service_pb2.ListModelEvaluationsResponse( **expected_response) # Mock the API response channel = ChannelStub(responses=[expected_response]) client = automl_v1beta1.AutoMlClient(channel=channel) # Setup Request parent = client.model_path('[PROJECT]', '[LOCATION]', '[MODEL]') paged_list_response = client.list_model_evaluations(parent) resources = list(paged_list_response) assert len(resources) == 1 assert expected_response.model_evaluation[0] == resources[0] assert len(channel.requests) == 1 expected_request = service_pb2.ListModelEvaluationsRequest( parent=parent) actual_request = channel.requests[0][1] assert expected_request == actual_request