mock code: importunittest.mockimportmock_funcclassTestMockFunc(unittest.TestCase):deftest_main(self):'''style 1: using with statement and nested function'''print('test_main')# backup original function for normal callorig_func = mock_func.get_value# nested function for mock side_effectdeffake...
mock_post):# 设置Mock对象的返回值mock_post.return_value.status_code=200# 调用被测试函数status_code=register_user('test_user','password123')# 验证函数是否按预期执行self.assertEqual(status_code,200)
1.python2.x的版本,mock是一个独立的模块,需要pip安装 pip install -Umock 2.从python3.X以后的版本mock已经合并到unittest模块中,是unittest单元测试的一部分,直接导入就可以用 from unittest import mock 五、简单实例: 下面使用简单的加法和减法算法函数为例: #function.py #encoding:utf-8 #@Time:2019/7/...
使用Mock让函数报错 我们可以创建一个Mock对象,并指定它在调用时抛出一个异常。这在测试异常处理逻辑时非常有用。下面是一个简单的示例: fromunittestimportmockimportunittest# 被测试的函数defdivide(a,b):returna/b# 测试类classTestDivideFunction(unittest.TestCase):@mock.patch('__main__.divide')# Mock被...
fromunittest.mockimportpatch@patch('sample_module.sample_object')deftest_function(mock_object):print(mock_object) 输出: 代码语言:python 代码运行次数:0 运行 AI代码解释 <MagicMock name='sample_object'id='1870192341512'> 上面的代码片段等同于下面的代码片段: ...
在Python中创建mock是通过Mock模块完成的。你可以通过每次一个属性(one-attribute-at-a-time)或一个健全的字典对象或是一个类接口来创建mock。你还可以定义mock的行为并且在测试过程中检查它的使用。让我们继续探讨。 二、测试准备 Test CaseTest SubjectTest Resource ...
We’ll begin with a refactor of thermmethod into a service class. There really isn’t a justifiable need, per se, to encapsulate such a simple function into an object, but it will at the very least help us demonstrate key concepts inmock. Let’s refactor: ...
Python3 unittest集成了mock,unittest.mock,Python2需要通过pip进行安装: pip install mock 如果我们有如下函数需要测试,被测试函数add_and_multiply(x, y)依赖函数multiply(x, y)的结果。 #function.py def add_and_multiply(x, y): addition = x + y multiple = multiply(x, y) return addition, multiple...
test = ["filelock (>=3)", "pytest (>=6.2.4)", "pytest-cov (>=2.12)", "pytest-mock (>=2)", "pytest-rerunfailures (>=9.1)", "pytest-xdist (>=1.34)", "setuptools (>=42.0.0)", "setuptools (>=56.0.0)", "setuptools (>=56.0.0)", "setuptools (>=67.8.0)", "wheel (>...
Functions that are written in Python can be tested like other Python code by using standard testing frameworks. For most bindings, it's possible to create a mock input object by creating an instance of an appropriate class from theazure.functionspackage. Since theazure.functionspackage isn't imm...