7

我有一个类,它使用类变量来选择要执行的逻辑。

#in file1:

class SomeHelper():
    def __init__(self):
        self.my_var = 0

#in file2: 
import file1
class MyClass():
    ...
    ...
    def calculate():
        inst = file1.SomeHelper()
        if x > inst.my_var:
           etc etc

我正在编写一个单元测试并在另一个文件中模拟 SomeHelper() :

from file 2 import MyClass
# tried both
@patch('file2.file1') OR @patch('file2.file1.SomeHelper')
def test_calculate(self, mock_helper):
    mock_helper.my_var = 0
    to_test = MyClass.calculate()

我收到以下错误:

TypeError:“MagicMock”和“int”的实例之间不支持“>”。

我以为我my_var是在修补模块后定义的。

4

1 回答 1

3

这是以下的单元测试解决方案Python 3.7.5

file1.py

class SomeHelper():
    def __init__(self):
        self.my_var = 0

file2.py

import file1


class MyClass():
    @classmethod
    def calculate(cls):
        x = 1
        inst = file1.SomeHelper()
        if x > inst.my_var:
            return True
        return False

test_file2.py

import unittest
from unittest.mock import patch
from file2 import MyClass


class TestMyClass(unittest.TestCase):
    @patch('file2.file1')
    def test_calculate(self, mock_file1):
        inst = mock_file1.SomeHelper.return_value
        inst.my_var = 0.5
        to_test = MyClass.calculate()
        self.assertTrue(to_test)
        mock_file1.SomeHelper.assert_called_once()

    @patch('file2.file1')
    def test_calculate_2(self, mock_file1):
        inst = mock_file1.SomeHelper.return_value
        inst.my_var = 2
        to_test = MyClass.calculate()
        self.assertFalse(to_test)
        mock_file1.SomeHelper.assert_called_once()


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

带有覆盖率报告的单元测试结果:

..
----------------------------------------------------------------------
Ran 2 tests in 0.002s

OK
Name                                       Stmts   Miss  Cover   Missing
------------------------------------------------------------------------
src/stackoverflow/50242955/file1.py            3      1    67%   3
src/stackoverflow/50242955/file2.py            8      0   100%
src/stackoverflow/50242955/test_file2.py      16      0   100%
------------------------------------------------------------------------
TOTAL                                         27      1    96%

源代码:https ://github.com/mrdulin/python-codelab/tree/master/src/stackoverflow/50242955

于 2019-12-13T11:00:55.540 回答