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  • Created over 5 years ago
  • Updated about 1 year ago

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Repository Details

A UI automated testing framework for H5 and applets

FAutoTest

一个 H5、小程序自动化测试框架

简介

随着产品业务形态逐渐从 App 延升到微信小程序、微信公众号以及 QQ公众号等,而之前的自动化建设主要是 Native App 为主,全手工测试已无法满足快速增长的业务需求。为提升测试效率和质量,FAutoTest 框架致力于解决 QQ、微信内 UI 的自动化问题(包括微信内 H5页面和小程序、QQ 内 H5页面),提升自动化测试的效率和稳定性。

FAutoTest 是一款成长中的框架,吸收借鉴了一些 UI 自动化工具的优秀设计理念和思想。如果框架有不足地方,或者你有更好的建议,欢迎提交 Issues 参与贡献。

特性

FAutoTest 专业服务于微信 H5/小程序的UI自动化测试,提升测试效率与质量。

  • 支持微信 H5页面,能识别常见 H5控件,能获取页面任意内容(常见的如文字、图片、链接等)
  • 支持小程序内控件识别,操作,页面内容获取等
  • 支持安卓 Native 页面组合操作使用
  • 简单的 API 设计,较低的使用门槛
  • 支持基础的性能测试监控
  • 功能扩展性强,扩展门槛低

架构

  1. 整体采用分层设计,API设计方式参考 WebDriver

  2. 整体框架是一个同步阻塞的模型:在一个线程中循环的执行 receive 方法,等待收到 response,发送消息后,阻塞,只有当 receive 方法获得消息时,才会解除阻塞,发送下一条消息,具备超时异常处理机制

  3. 框架内打包了 Python 版本的 UIAutomator,方便在安卓 Native 页面进行操作

User Interface(用户交互层): 提供给用户所有的界面操作 API(H5界面及小程序界面),使用者不需要关注框架内部实现,只需要关注自身业务逻辑流程(手工用例流程转换成自动化流程)

PageOperator(操作解析层): 主要用于接收和解析用户命令后传递给下层 Engine 层

Engine( H5&小程序引擎层): 将用户命令传输到手机,并返回结果信息。封装 WebSocket 和单线程池,通过WebSocket Debug URL 和浏览器内核建立链接,发送 Json 格式的协议到手机端进行用户指定的操作。

业务流程

  • H5页面/小程序 UI 自动化执行流程

  • 自动化脚本调用流程

依赖软件环境

软件 软件要求
Python 版本 2.7.x 版本
Java JDK 版本 Java 语言框架(最低1.7)
Android SDK 版本 4.4 及以上版本
adb 版本 最新版本即可
Python IDE 开发环境 如 PyCharm CE等

1. Python 版本安装

下载 & 安装 Python,安装后在终端输入命令 python -vpip list,能够执行,说明 Python 环境配置成功。

2. Java JDK 版本安装

下载 & 安装 Java JDK 安装后在终端输入命令java -versionjava, javac命令能够执行,则 Java 环境配置成功。

3. Android SDK 版本安装

下载 & 安装 Android Studio,然后在里面安装 Android SDK

4. 配置 adb 环境

安装 Android Studio 后,配置 SDK 环境(若自动安装不成功,可到手动下载安装 ,安装后在终端输入命令 adb version 执行有结果,则说明配置成功

5. IDE 安装

下载 & 安装 Pycharm CE

FAutoTest 开发环境安装

库名称 版本 下载地址
uiautomator 0.3.2 https://pypi.org/project/uiautomator/#files
lxml 4.2.3 https://pypi.org/project/lxml/4.2.3/#files
bidict 0.17.0 https://pypi.org/project/bidict/#files
websocket-client 0.44.0 https://pypi.org/project/websocket-client/#files
  • 使用pip安装框架所需的第三方库 uiautomatorwebsocket-clientlxmlbidict,如安装lxmlbidictwebsocket-client可用pip形式安装,如安装lxml

    pip install lxml
    
  • 安装自身框架

    pip install dist/fastAutoTest-xxx.whl(whl文件请在dist目录下手动下载)
    
  • 打开微信Debug模式,安装 TBS 内核

使用方式

如何写测试案例,如微信 H5页面,如下所示:

# coding=utf-8
from fastAutoTest.core.h5.h5Engine import H5Driver

# http://h5.baike.qq.com/mobile/enter.html 从微信进入此链接,首屏加载完后执行脚本
if __name__ == '__main__':
    h5Driver = H5Driver()
    h5Driver.initDriver()
    h5Driver.clickElementByXpath('/html/body/div[1]/div/div[3]/p')
    h5Driver.clickFirstElementByText('白内障')
    h5Driver.returnLastPage()
    h5Driver.returnLastPage()
    print(h5Driver.getElementTextByXpath('/html/body/div[1]/div/div[3]/p'))
    h5Driver.close()
  1. 从微信初始化 H5页面,如进入 http://h5.baike.qq.com/mobile/enter.html
  2. 进入页面后找到需要操作的控件的xpath,可通过 chrome:inspect 找到当前页面,找到控件的xpath
  3. 初始化框架并进行 API 调用,如执行点击控件等
  4. 关闭框架,执行用例

QQ 的 H5页面:

# coding=utf-8
from fastAutoTest.core.qq.qqEngine import QQDriver

# 从动态 -> 动漫进入
if __name__ == '__main__':
    qqDriver = QQDriver()
    qqDriver.initDriver()
    qqDriver.clickFirstElementByText('英雄救美,这也太浪漫了')
    qqDriver.returnLastPage()
    qqDriver.clickElementByXpath('//*[@id="app"]/div/ul/li[2]')
    qqDriver.returnLastPage()
    qqDriver.close()
  1. 从 QQ 动态,进入动漫 H5页面
  2. 找到需操作的控件的xpath,可通过 chrome:inspect 找到当前页面,找到控件的xpath
  3. 初始化框架并进行相关 API 调用
  4. 关闭框架,执行用例

微信小程序:

# coding=utf-8
from fastAutoTest.core.wx.wxEngine import WxDriver
import os

# 进入企鹅医典小程序
if __name__ == '__main__':
    wxDriver = WxDriver()
    wxDriver.initDriver()
    # 点击全部疾病
    wxDriver.clickElementByXpath('/html/body/div[1]/div/div[3]/p')
    wxDriver.clickFirstElementByText('白内障')
    wxDriver.returnLastPage()
    wxDriver.returnLastPage()
    # 截图
    dirPath = os.path.split(os.path.realpath(__file__))[0]
    PIC_SRC = os.path.join(dirPath, 'pic.png')
    wxDriver.d.screenshot(PIC_SRC)
    wxDriver.close()
  1. 搜索小程序,如企鹅医典小程序,进入小程序页面
  2. 同样找控件的xpath,同上操作
  3. 初始化框架,进行相关 API 调用
  4. 关闭框架,执行用例

后期计划

改造FAutoTest,兼容QT4W,实现FAutoTest到QTA的无缝切换。

交流群

交流群,请扫码加入下面群,验证回复 FAutoTest 按照指引进群。

相关链接

CONTRIBUTING

IFRAME

NOTICES

APPENDIX

APIs

QA

贡献代码

如果你在使用过程中发现 Bug,请通过 Issues 或 Pull Requests 来提交反馈,或者加入交流群来解决。
首次参与贡献请阅读:CONTRIBUTING

腾讯开源激励计划 鼓励开发者的参与和贡献,期待你的加入。

License

所有代码采用 BSD-3-Clause License 开源

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