def test_function_call(): mock_function.assert_called_with(1, 2, 3) 在这个例子中,我们使用assert_called_with来验证mock_function是否被以参数1、2、3的方式调用。如果调用方式不匹配,测试将失败。 assert_length: 这个函数用于验证序列(如列表、元组、字符串等)的长度是否
mock_object = mocker.Mock() # 执行测试代码 function_under_test(mock_object) # 断言方法被调用一次 assert mock_object.method.call_count == 1 pytest-mock mocker模拟对象构造在以下场景中特别有用: 当需要测试的代码依赖于其他模块或对象时,可以使用模拟对象来模拟这些依赖项,以便能够独立地测试代码的逻辑。
PropertyMock ANY DEFAULT(Version 1.4) call(Version 1.1) sentinel(Version 1.2) mock_open Spy The spy acts exactly like the original method in all cases, except it allows use ofmockfeatures with it, like retrieving call count. It also works for class and static methods. deftest_spy(mocker):...
Improved reporting of mock call assertion errors This plugin monkeypatches the mock library to improve pytest output for failures of mock call assertions likeMock.assert_called_with()by hiding internal traceback entries from themockmodule. It also adds introspection information on differing call argumen...
self):self.api_client=APIClient()# 初始化被测对象deftest_api_call(self):mock_response=Mock(...
Mock是一个类,类中有很多属性和方法,这些属性和方法可以通过参数传递进入,也可以通过实例设置。重要的参数:return_value :调用mock的返回值,模拟某一个方法的返回值。side_effect :调用mock时的返回值,可以是函数,异常类,可迭代对象。使用side_effect可以将模拟对象的返回值变成函数,异常类,可迭代对象等。 当设置...
Mock 对象:配合 pytest-mock 插件模拟外部依赖(如 API、文件系统)。 def test_api_call(mocker): mock_get = mocker.patch("requests.get") mock_get.return_value.status_code = 200 response = call_api() assert response == 200 异步测试:支持 async/await 测试异步代码。 async def test_async_functi...
Record detailswith spy, such as call count, arguments, and return values. Assertwith spy to validate the expected behavior. This makesmocker.spya powerful tool for verifying function interactions in a non-intrusive way. Read More:Mockito Mock Vs. Spy: Differences & The Right Approach ...
from unittest.mock import Mock, patch, call, ANY, RAISE, NOTHING, MagicMock, PropertyMock, isstarted, getrunner, _get_async_case_runner, _make_id, _check_stop, _call_description, _format_args, _format_callback, _is_coroutine, _is_coroutine_function, _is_coroutine_wrapper, _is_awaitable...
1. 模拟异步依赖(Async Mock) @pytest.mark.asyncio async def test_async_mock(mocker): # 模拟异步函数 mock_func = mocker.AsyncMock(return_value="mocked") mocker.patch("module.async_func", mock_func) result = await module.call_async_func() assert result == "mocked" mock_func.assert_awaite...