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README
Apache-2.0

AutotestFrame-From Chunxia

介绍

这是春夏原创的自动化框架,使用了时下最流行的开源测试框架与各种测试组件。与业务深度结合,简单易用,轻松将中台里自己负责的模块自动化起来。目前已经在落地使用!

框架设计遵循如下核心思想:

  • 测试用例(testcase)应该是完整且独立的,每条测试用例应该是都可以独立运行的

  • 测试用例是测试步骤(teststep)的 有序 集合,每一个测试步骤对应一个 API 的请求描述

  • 测试用例集(testsuite)是测试用例的 无序 集合,集合中的测试用例应该都是相互独立,不存在先后依赖关系的;如果确实存在先后依赖关系,那就需要在测试用例中完成依赖的处理

使用技术栈:python + pytest + requests + pymysql + allure

解决的痛点

  • postman与jmeter无法团队协作的问题
  • 普通脚本可读性差,维护成本高
  • 很难处理setup和teardown操作
  • 数据驱动测试难
  • 无法校验数据库数据
  • 测试结果无法直观的体现出来

框架架构与层级说明

1、common文件夹

公共逻辑编写:将不同的测试环境以及测试环境对应的店铺、测试账号集成在一个文件里面。通过改变变量的值,来实现测试环境的切换

2、api文件夹

API定义:使用独立的文件对接口描述进行存储,即每个文件对应一个接口描述,相同功能模块存放在一个文件夹里,便于管理。

接口定义描述的主要内容包括:name、variables、request、host、headers 等。在框架中,每个接口定义必须拥有host、headers两个参数。host用于域名的指定,headers用于不同测试环境的请求头(token鉴权)指定。

另外,API 描述需要尽量保持完整,做到可以单独运行。如果在接口描述中存在变量引用的情况,可在 variables 中对参数进行定义。通过这种方式,可以很好地实现单个接口的调试。

3、test_case文件夹

作为一个大的testsuite,存放测试用例。一个接口的测试用例可以这样编写

  1. 引用已经定义好的公共逻辑和接口定义
  2. 测试步骤直接使用api定义发起请求
  3. 断言结果
  4. 对接口输入参数作数据驱动测试

4、test_data文件夹

此文件夹只存放了用例需要的死水数据,通过data_config切换测试环境,通过字典来取值。

5、test_report文件夹

report文件夹存放了具体的测试报告

report_data文件夹存放了具体的测试数据,很多json文件

生成报告具体实现方式为:

  1. 定义测试结果存放位置,root_path为项目根路径
  2. 定义测试报告存放位置
  3. 定义pytest运行参数
  4. 使用pytest运行用例
  5. os写入数据

每次运行完成后,打开report文件夹中的index.html文件,就可以查看这次运行的结果了

如何使用

  1. clone本仓库
  2. 在api文件夹里创建自己负责模块的api接口定义
  3. 开始写测试用例,每一条用例都要import一下commom文件夹的公共逻辑以及需要用到的接口
  4. 在具体的test_case文件里,直接调用api定义发送请求,然后对结果断言
  5. 生成测试报告

简单示例

测试接口:live_template_get

接口功能:根据模板组id查询当前组内所有智能直播模板

Step1:接口定义

文件位于api/smart_template/live_template_get.py

import requests


def live_template_get(template_bank_id, host, headers):
    path = "/study-center/admin/api/v1/live_template"
    url = host + path

    params = {"limit": 9999,
              "offset": 0,
              "template_bank_id": template_bank_id
              }

    resp = requests.get(url=url, params=params, headers=headers)
    return resp

Step2:测试用例,数据驱动测试,连接数据库断言,测试报告生成

文件位于test_case/smart_template_case/test_live_template_get.py

import os

import allure
import pytest

from common.env_config import host, headers
from common.root_directory import root_path
from api.smart_template.live_template_get import live_template_get


@allure.description('查询默认模板组所有智能直播模板')
def test_1(study_center):
    resp = live_template_get(11, host, headers)

    cursor = study_center.cursor()
    cursor.execute(
        "SELECT COUNT(*) FROM content_template WHERE shop_id = 10016 AND template_bank_id = 11 AND is_deleted = 0")
    values = cursor.fetchall()

    assert resp.status_code == 200
    assert resp.json()['code'] == 0
    assert resp.json()["data"]["total"] == values[0][0]


@allure.description('测试异常参数类型是否正常报错')
@pytest.mark.parametrize("template_bank_id", ["A", "a", "汉字", "$"])
def test_2(template_bank_id):
    resp = live_template_get(template_bank_id, host, headers)
    assert resp.status_code == 400
    assert resp.json()["code"] == 400
    assert resp.json()["msg"] == "参数类型错误"


if __name__ == '__main__':
    test_data = root_path + '/testreport/report_data'  # 用例执行结果数据目录
    test_report = root_path + '/testreport/report'  # 测试报告目录

    pytest_params = ['-s', '-q', '--alluredir', test_data, '--clean-alluredir']  # pytest参数

    pytest.main(pytest_params)  # 执行测试

    os.system('allure generate {} -o {} --clean'.format(test_data, test_report))  # 生成报告
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简介

这是春夏原创的自动化框架,使用了时下最流行的开源测试框架与各种测试组件。与业务深度结合,简单易用,轻松将中台里自己负责的模块自动化起来。目前已经在落地使用! 展开 收起
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