# Copyright (c) 2012-2013 LiuYC https://github.com/liuyichen/ # Copyright 2012-2014 ksyun.com, Inc. or its affiliates. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"). You # may not use this file except in compliance with the License. A copy of # the License is located at # # http://www.apache.org/licenses/LICENSE-2.0 # # or in the "license" file accompanying this file. This file is # distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF # ANY KIND, either express or implied. See the License for the specific # language governing permissions and limitations under the License. import time from tests import unittest import kscore.session from kscore.utils import ArgumentGenerator class ArgumentGeneratorError(AssertionError): def __init__(self, service_name, operation_name, generated, message): full_msg = ( 'Error generating skeleton for %s:%s, %s\nActual:\n%s' % ( service_name, operation_name, message, generated)) super(AssertionError, self).__init__(full_msg) def test_can_generate_all_inputs(): session = kscore.session.get_session() generator = ArgumentGenerator() for service_name in session.get_available_services(): service_model = session.get_service_model(service_name) for operation_name in service_model.operation_names: operation_model = service_model.operation_model(operation_name) input_shape = operation_model.input_shape if input_shape is not None and getattr(input_shape, "members", None): yield (_test_can_generate_skeleton, generator, input_shape, service_name, operation_name) def _test_can_generate_skeleton(generator, shape, service_name, operation_name): generated = generator.generate_skeleton(shape) # Do some basic sanity checks to make sure the generated shape # looks right. We're mostly just ensuring that the generate_skeleton # doesn't throw an exception. if not isinstance(generated, dict): raise ArgumentGeneratorError( service_name, operation_name, generated, 'expected a dict') # The generated skeleton also shouldn't be empty (the test # generator has already filtered out input_shapes of None). if len(generated) == 0: raise ArgumentGeneratorError( service_name, operation_name, generated, "generated arguments were empty")