这篇教程python接口自动化测试数据和代码分离解析写得很实用,希望能帮到您。
common中存放的是整个项目中公共使用的封装方法从工程目录上可以看到区分 datas中专门存放测试数据(yml文件) cases中专门集中存放测试用例 ...
数据分离的第一步先找到工程项目路径# -*- encoding: utf-8 -*-"""@__Software__: PyCharm@__File__: osPath.py@__Date__: 2021/6/14 21:08"""import os # 获取项目的根目录,apiTest层FILE = os.path.abspath(os.path.dirname(os.path.dirname(__file__)))# 获取存放测试数据的文件夹DATAS = os.path.join(FILE, 'datas')print(DATAS) F:/project_gitee/Test/apiTest/datas Process finished with exit code 0 运行结果可以清晰看到,已经找到存放数据的文件夹路径并拼接成功 ... os模块不熟悉可参考菜鸟教程
数据分离的第二步封装一个读取yml文件的函数或类方法这里就先写一个函数把 首先要先安装yml 再导入包,然后再进行封装 # -*- encoding: utf-8 -*-"""@__Software__: PyCharm@__File__: readData.py@__Date__: 2021/6/14 21:07""" import osimport yamlfrom common import osPath as sp def read_yml(file): with open(file, mode='r', encoding='utf-8') as read_data: results = yaml.load(read_data, Loader=yaml.FullLoader) return resultsprint(read_yml(os.path.join(sp.DATAS, 'test_data.yml'))) {'test_data': [[{'type': 1}, {'reason': '查询成功!'}], [{'type': 2}, {'reason': '查询成功!'}], [{'type': 3}, {'reason': '查询成功!'}]]} Process finished with exit code 0 读取yml的函数写完以后,要记得测试下是否满足自己需要的功能;从结果来看满足我目前需要功能 ... yaml语法不熟悉的也可以参考菜鸟教程
数据分离的第三步测试用例中引入数据并运行# -*- encoding: utf-8 -*-"""@__Software__: PyCharm@__File__: test_example.py@__Date__: 2021/6/13 19:00"""import osimport pytestimport requestsfrom common import osPath as spfrom common.readData import read_ymlclass TestExample: s = requests.Session() data = read_yml(os.path.join(sp.DATAS, 'test_data.yml')) @pytest.mark.parametrize("test_data, expected", data['test_data']) def test_example(self, test_data, expected): with self.s as s: url = "http://apis.juhe.cn/fapig/euro2020/schedule?key=9d0dfd9dbaf51de283ee8a88e58e218b" response = s.get(url, params=test_data) print(response.json()) assert response.json()["reason"] == expected["reason"] if __name__ == '__main__': pytest.main(["-v", "-s", "test_example"]) Launching pytest with arguments F:/project_gitee/Test/apiTest/cases/test_example.py in F:/project_gitee/Test/apiTest/cases============================= test session starts ============================ collecting ... collected 3 itemstest_example.py::TestExample::test_example[test_data0-expected0] test_example.py::TestExample::test_example[test_data1-expected1] test_example.py::TestExample::test_example[test_data2-expected2] ============================== 3 passed in 0.66s ============================== data['test_data']是字典取值,取key为test_data的value值 ...
从返回的结果可以清晰看到,3 passed,且用时0.66s ... 至此,测试数据和代码分离完成 ... 以上就是python接口自动化测试数据和代码分离解析的详细内容,更多关于python接口自动化测试资料请关注51zixue.net其它相关文章! Django框架HttpResponse和HttpRequest对象学习 PyTorch一小时掌握之图像识别实战篇 |