python unittest 失败用例重跑最佳实现方法
本篇博文参考了简书博文,原文链接:https://www.jianshu.com/p/2c471acfea2e
当我们自动化用例多的时候,经常会有部分用例因为各种各样的原因跑失败,但其实应用本身是没有问题的,所以,加入失败用例重跑机制,如果第二次运行成功,那么我们就认为这条用例是通过的,同时,测试报告上面写的也是通过
这里介绍两种方法。一种是函数装饰器,一种是类装饰器。两者功能相同
函数装饰器
# -*- coding = UTF-8 -*- # Autohr : 叶松桥 # File : runfailed.py # project : Test_Ui_Yt # time : 2020/11/27 12:21 # Describe : 失败用例重跑 # --------------------------------------- import sys import functools import traceback import inspect import unittest def retry(target=None, max_n=1, func_prefix="test"): """ 一个装饰器,用于unittest执行测试用例出现失败后,自动重试执行 # example_1: test_001默认重试1次 class ClassA(unittest.TestCase): @retry def test_001(self): raise AttributeError # example_2: max_n=2,test_001重试2次 class ClassB(unittest.TestCase): @retry(max_n=2) def test_001(self): raise AttributeError # example_3: test_001重试3次; test_002重试3次 @retry(max_n=3) class ClassC(unittest.TestCase): def test_001(self): raise AttributeError def test_002(self): raise AttributeError # example_4: test_102重试2次, test_001不参与重试机制 @retry(max_n=2, func_prefix="test_1") class ClassD(unittest.TestCase): def test_001(self): raise AttributeError def test_102(self): raise AttributeError :param target: 被装饰的对象,可以是class, function :param max_n: 重试次数,没有包含必须有的第一次执行 :param func_prefix: 当装饰class时,可以用于标记哪些测试方法会被自动装饰 :return: wrapped class 或 wrapped function """ def decorator(func_or_cls): if inspect.isfunction(func_or_cls): @functools.wraps(func_or_cls) def wrapper(*args, **kwargs): n = 0 while n <= max_n: try: n += 1 func_or_cls(*args, **kwargs) return except Exception: # 可以修改要捕获的异常类型 if n <= max_n: trace = sys.exc_info() traceback_info = str() for trace_line in traceback.format_exception(trace[0], trace[1], trace[2], 3): traceback_info += trace_line print(traceback_info) # 输出组装的错误信息 args[0].tearDown() args[0].setUp() else: raise return wrapper elif inspect.isclass(func_or_cls): for name, func in list(func_or_cls.__dict__.items()): if inspect.isfunction(func) and name.startswith(func_prefix): setattr(func_or_cls, name, decorator(func)) return func_or_cls else: raise AttributeError if target: return decorator(target) else: return decorator
类装饰器
# -*- coding = UTF-8 -*- # Autohr : 叶松桥 # File : runfailed.py # project : Test_Ui_Yt # time : 2020/11/27 12:21 # Describe : 失败用例重跑 # --------------------------------------- import sys import functools import traceback import inspect import unittest class Retry(object): """ 类装饰器, 功能与Retry一样 # example_1: test_001默认重试1次 class ClassA(unittest.TestCase): @Retry def test_001(self): raise AttributeError # example_2: max_n=2,test_001重试2次 class ClassB(unittest.TestCase): @Retry(max_n=2) def test_001(self): raise AttributeError # example_3: test_001重试3次; test_002重试3次 @Retry(max_n=3) class ClassC(unittest.TestCase): def test_001(self): raise AttributeError def test_002(self): raise AttributeError # example_4: test_102重试2次, test_001不参与重试机制 @Retry(max_n=2, func_prefix="test_1") class ClassD(unittest.TestCase): def test_001(self): raise AttributeError def test_102(self): raise AttributeError """ def __new__(cls, func_or_cls=None, max_n=1, func_prefix="test"): self = object.__new__(cls) if func_or_cls: self.__init__(func_or_cls, max_n, func_prefix) return self(func_or_cls) else: return self def __init__(self, func_or_cls=None, max_n=1, func_prefix="test"): self._prefix = func_prefix self._max_n = max_n def __call__(self, func_or_cls=None): if inspect.isfunction(func_or_cls): @functools.wraps(func_or_cls) def wrapper(*args, **kwargs): n = 0 while n <= self._max_n: try: n += 1 func_or_cls(*args, **kwargs) return except Exception: # 可以修改要捕获的异常类型 if n <= self._max_n: trace = sys.exc_info() traceback_info = str() for trace_line in traceback.format_exception(trace[0], trace[1], trace[2], 3): traceback_info += trace_line print(traceback_info) # 输出组装的错误信息 args[0].tearDown() args[0].setUp() else: raise return wrapper elif inspect.isclass(func_or_cls): for name, func in list(func_or_cls.__dict__.items()): if inspect.isfunction(func) and name.startswith(self._prefix): setattr(func_or_cls, name, self(func)) return func_or_cls else: raise AttributeError
运行效果如图,失败的用例会再次运行2遍