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1.装饰器

#装饰器的官方定义：装饰器本质上是一个Python函数(其实就是闭包)，它可以让其他函数在不需要做任何代码变动的前提下增加额外功能，装饰器的返回值也是一个函数对象。装饰器用于有以下场景，比如:插入日志、性能测试、事务处理、缓存、权限校验等场景。

2.ddt

import unittest#引入ddt库from ddt import ddt,data,unpacktest_data = [{"name":"张三"},2]@ddt#装饰测试类class DemoCase(unittest.TestCase):    @data(test_data)#装饰函数    def test_jia(self,item):        print(item)    def test_jian(self):        passif __name__ == "__main__":    unittest.main()

运行结果：

plugins: html-3.2.0, metadata-2.0.4collected 2 items demo.py .[{"name": "张三"}, 2] . [100%] ============================== 2 passed in 0.04s ============================== Process finished with exit code 0

3.ddt脱外套

import unittest#引入ddt库from ddt import ddt,data,unpacktest_data = [{"name":"张三"},2]@ddt#装饰测试类class DemoCase(unittest.TestCase):    @data(*test_data)#装饰函数，*test_data脱外套，根据脱外套后的数据执行次数    def test_jia(self,item):        print(item)if __name__ == "__main__":    unittest.main()

运行结果：plugins: html-3.2.0, metadata-2.0.4collected 2 itemsdemo.py .{"name": "张三"}.2                                                              [100%]============================== 2 passed in 0.04s ==============================Process finished with exit code 0

4.ddt中的@unpack

import unittest#引入ddt库from ddt import ddt,data,unpacktest_data = [[2,6],[9,1000]]@ddt#装饰测试类class DemoCase(unittest.TestCase):    @data(*test_data)#装饰函数，*test_data脱外套，根据脱外套后的数据执行次数    @unpack    def test_jia(self,a,b):        print("a: ",a)        print("b: ",b)if __name__ == "__main__":    unittest.main()

运行结果：plugins: html-3.2.0, metadata-2.0.4collected 2 itemsdemo.py .a:  2b:  6.a:  9b:  1000                                                              [100%]============================== 2 passed in 0.04s ==============================

5.ddt+openpyxl参数化实现

import unittest#引入ddt库from ddt import ddt,data,unpackfrom test01.doexcel import DoExcel

#引入仓库from openpyxl import load_workbookclass DoExcel():    def __init__(self,file,sheet):        self.file=file        self.sheet=sheet    def return_excel_value(self):        wb = load_workbook(self.file)#打开excel        sheet_content = wb[self.sheet]#定位sheet工作博        data_list = []#列表用于存储测试数据        for n in range(2,sheet_content.max_row+1):#行,第一行是标题，所以从第二行开始            data_dict = {}#字典用于存储每组测试数据            for m in range(2,sheet_content.max_column+1):                data_dict["method"]=sheet_content.cell(n,2).value                data_dict["url"] = sheet_content.cell(n, 3).value                data_dict["data"] = eval(sheet_content.cell(n, 4).value)#eval()将数据类型还原                data_dict["expect"] = sheet_content.cell(n, 5).value            data_list.append(data_dict)#将字典存储到list        return data_list

test_data = DoExcel("C:\\Users\\Administrator\\Desktop\\testdemo.xlsx","s1").return_excel_value()#[{},{},{}]@ddt#装饰测试类class DemoCase(unittest.TestCase):    @data(*test_data)#装饰函数，*test_data脱外套，根据脱外套后的数据执行次数    def test_jia(self,item):        print(item["method"],item["url"],item["data"],item["expect"])if __name__ == "__main__":    unittest.main()

执行结果：plugins: html-3.2.0, metadata-2.0.4collected 2 itemsdemo.py .post http://www.qabujiaban.com/user/login {"username": "uuuu222都44", "password": "WJHasb124*1"} 0000.get http://www.qabujiaban.com/user/login {"username": "uuuu222都44", "password": "WJHasb124*1"} 0000                                                               [100%]============================== 2 passed in 0.31s ==============================Process finished with exit code 0