forked from DxvLwRYF/apiAutoTest
120 lines
5.4 KiB
Python
120 lines
5.4 KiB
Python
#!/usr/bin/env/python3
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# -*- coding:utf-8 -*-
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"""
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@project: apiAutoTest
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@author: zy7y
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@file: test_api.py
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@ide: PyCharm
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@time: 2020/7/31
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"""
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import json
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import jsonpath
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from loguru import logger
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import pytest
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import allure
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from api.base_requests import BaseRequest
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from tools.data_process import DataProcess
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from tools.read_config import ReadConfig
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from tools.read_data import ReadData
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# 读取配置文件 对象
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rc = ReadConfig()
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base_url = rc.read_serve_config('dev')
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token_reg, res_reg = rc.read_response_reg()
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report_data = rc.read_file_path('report_data')
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report_generate = rc.read_file_path('report_generate')
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log_path = rc.read_file_path('log_path')
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email_setting = rc.read_email_setting()
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# 读取excel数据对象
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data_list = ReadData.get_data()
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# 请求对象
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br = BaseRequest()
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logger.info(f'配置文件/excel数据/对象实例化，等前置条件处理完毕\n\n')
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class TestApiAuto(object):
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# 启动方法
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def run_test(self):
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import os, shutil
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if os.path.exists('../report') and os.path.exists('../log'):
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shutil.rmtree(path='../report')
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shutil.rmtree(path='../log')
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# 日志存取路径
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logger.add(log_path, encoding='utf-8')
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pytest.main(args=[f'--alluredir={report_data}'])
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# 本地生成 allure 报告文件，需注意 不用pycharm等类似ide 打开会出现无数据情况
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os.system(f'allure generate {report_data} -o {report_generate} --clean')
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# 直接启动allure报告（会占用一个进程，建立一个本地服务并且自动打开浏览器访问，ps 程序不会自动结束，需要自己去关闭）
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# os.system(f'allure serve {report_data}')
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logger.warning('报告已生成')
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@pytest.mark.parametrize('case_number,case_title,path,is_token,method,parametric_key,file_obj,'
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'data,expect', data_list)
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def test_main(self, case_number, case_title, path, is_token, method, parametric_key, file_obj,
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data, expect):
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# 感谢：https://www.cnblogs.com/yoyoketang/p/13386145.html，提供动态添加标题的实例代码
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# 动态添加标题
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allure.dynamic.title(case_title)
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logger.debug(f'⬇️⬇️⬇️...执行用例编号:{case_number}...⬇️⬇️⬇️️')
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with allure.step("处理相关数据依赖，header"):
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header = DataProcess.header
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allure.attach(json.dumps(header, ensure_ascii=False, indent=4), "请求头", allure.attachment_type.TEXT)
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path = DataProcess.handle_path(path)
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data = DataProcess.handle_data(data)
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allure.attach(json.dumps(data, ensure_ascii=False, indent=4), "请求数据", allure.attachment_type.TEXT)
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with allure.step("发送请求，取得响应结果的json串"):
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allure.attach(json.dumps(base_url + path, ensure_ascii=False, indent=4), "最终请求地址", allure.attachment_type.TEXT)
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res = br.api_send(method=method, url=base_url + path, parametric_key=parametric_key, file_obj=file_obj,
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data=data, header=header)
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allure.attach(json.dumps(res, ensure_ascii=False, indent=4), "实际响应", allure.attachment_type.TEXT)
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with allure.step("将响应结果的内容写入实际响应字典中"):
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DataProcess.save_response(case_number, res)
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allure.attach(json.dumps(DataProcess.response_dict, ensure_ascii=False, indent=4), "实际响应字典", allure.attachment_type.TEXT)
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# 写token的接口必须是要正确无误能返回token的
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if is_token == '写':
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with allure.step("从登录后的响应中提取token到header中"):
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DataProcess.handle_header(is_token, res, token_reg)
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with allure.step("根据配置文件的提取响应规则提取实际数据"):
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really = jsonpath.jsonpath(res, res_reg)[0]
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allure.attach(json.dumps(really, ensure_ascii=False, indent=4), "提取用于断言的实际响应部分数据", allure.attachment_type.TEXT)
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with allure.step("处理读取出来的预期结果响应"):
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# 处理预期结果数据中使用True/False/None导致的无法转换bug
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if 'None' in expect:
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expect = expect.replace('None', 'null')
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if 'True' in expect:
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expect = expect.replace('True', 'true')
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if 'False' in expect:
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expect = expect.replace('False', 'false')
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expect = json.loads(expect)
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allure.attach(json.dumps(expect, ensure_ascii=False, indent=4), "预期响应", allure.attachment_type.TEXT)
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with allure.step("预期结果与实际响应进行断言操作"):
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logger.info(f'完整的json响应: {res}\n需要校验的数据字典: {really} 预期校验的数据字典: {expect} \n测试结果: {really == expect}')
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logger.debug(f'⬆⬆⬆...用例编号:{case_number},执行完毕,日志查看...⬆⬆⬆\n\n️')
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allure.attach(json.dumps(really == expect, ensure_ascii=False, indent=4), "测试结果", allure.attachment_type.TEXT)
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assert really == expect
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if __name__ == '__main__':
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TestApiAuto().run_test()
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# 使用jenkins集成将不会使用到这两个方法（邮件发送/报告压缩zip）
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# from tools.zip_file import zipDir
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# from tools.send_email import send_email
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# zipDir(report_generate, report_zip)
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# send_email(email_setting)
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