Question

使用Python 2.7和模拟库

如何使用mock？

测试某些特定参数是否初始化了某个修补对象？

这里有一些示例代码和伪代码：

unittest.py:

ALTER TABLE quiz ADD rank INT AUTO_INCREMENT;

mylib.py：

import mock
@mock.patch('mylib.SomeObject')
def test_mytest(self, mock_someobject):
  test1 = mock_someobject.return_value
  test1 = method_inside_someobject.side_effect = ['something']

  mylib.method_to_test()

  # How can I assert that method_to_test instanced SomeObject with certain arguments?
  # I further test things with that method_inside_someobject call, no problems there...

那么，我怎样才能测试SomeObject是用arg1 = val1，arg2 = val2，arg3 = val3来实例化的？

Answer 1

如果用mock替换了类，则创建实例只是另一个调用。断言正确的参数已传递给该调用，例如mock.assert_called_with()：

mock_someobject.assert_called_with(arg1=val1, arg2=val2, arg3=val3)

为了说明，我已将您的MCVE更新为一个有效的示例：

<强> test.py ：

import mock
import unittest

import mylib


class TestMyLib(unittest.TestCase):
    @mock.patch('mylib.SomeObject')
    def test_mytest(self, mock_someobject):
        mock_instance = mock_someobject.return_value
        mock_instance.method_inside_someobject.side_effect = ['something']

        retval = mylib.method_to_test()

        mock_someobject.assert_called_with(arg1='foo', arg2='bar', arg3='baz')
        self.assertEqual(retval, 'something')


if __name__ == '__main__':
    unittest.main()

<强> mylib.py ：

from someobjectmodule import SomeObject

def method_to_test():
    obj = SomeObject(arg1='foo', arg2='bar', arg3='baz')
    return obj.method_inside_someobject()

<强> someobjectmodule.py ：

class SomeObject(object):
    def method_inside_someobject(self):
        return 'The real thing'

并运行测试：

$ python test.py
.
----------------------------------------------------------------------
Ran 1 test in 0.001s

OK

Python模拟对象实例化

1 个答案: