python之robotframework+ride测试框架
一、robotframework简介
Robot Framework是一款python编写的功能自动化测试框架。具备良好的可扩展性,支持关键字驱动,可以同时测试多种类型的客户端或者接口,可以进行分布式测试执行。主要用于轮次很多的验收测试和验收测试驱动开发(ATDD)
二、ride简介
ride是rf框架的IDE,图形界面,使用起来比较方便,用例管理与执行都不错,最近也出了针对python3的版本更新。
三、robotframework安装
通过pip install robotframework来进行安装
四、ride安装
通过pip install robotframework-ride来进行安装
五、selenium库安装
通过pip install robotframework-seleniumlibrary来进行安装
以下安装完成后pip.exe list查看安装情况
![python之robotframework+ride测试框架 python之robotframework+ride测试框架](/default/index/img?u=)
六、ride测试框架操作
1、ride打开
进入python所在目录的script目录下,执行python ride.py即可打开ride
最新版本可设置桌面快捷方式
![python之robotframework+ride测试框架 python之robotframework+ride测试框架](/default/index/img?u=)
![python之robotframework+ride测试框架 python之robotframework+ride测试框架](data:image/png;base64,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)
![python之robotframework+ride测试框架 python之robotframework+ride测试框架](/default/index/img?u=)
2、建立工程project
![python之robotframework+ride测试框架 python之robotframework+ride测试框架](/default/index/img?u=)
3、建立测试套test suite
![python之robotframework+ride测试框架 python之robotframework+ride测试框架](/default/index/img?u=)
4、建立测试用例test case
![python之robotframework+ride测试框架 python之robotframework+ride测试框架](/default/index/img?u=)
都建立完成后界面如下:
![python之robotframework+ride测试框架 python之robotframework+ride测试框架](/default/index/img?u=)
5、加载包:如selenium
可在测试套或测试用例文件上加载library:(SeleniumLibrary)
![python之robotframework+ride测试框架 python之robotframework+ride测试框架](/default/index/img?u=)
6、编辑脚本:
图形化界面编辑测试用例,比较方便
以下举例使用selenium进行自动化测试,打开百度首页
![python之robotframework+ride测试框架 python之robotframework+ride测试框架](/default/index/img?u=)
7、执行
勾选并执行用例:
确保,Chrome的驱动包已放在python目录下
![python之robotframework+ride测试框架 python之robotframework+ride测试框架](/default/index/img?u=)
![python之robotframework+ride测试框架 python之robotframework+ride测试框架](data:image/png;base64,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)
![python之robotframework+ride测试框架 python之robotframework+ride测试框架](/default/index/img?u=)
![python之robotframework+ride测试框架 python之robotframework+ride测试框架](data:image/png;base64,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![python之robotframework+ride测试框架 python之robotframework+ride测试框架](/default/index/img?u=)
七、报告与日志
当用例运行结束,Robot Framework 生成三个文件:output.xml、log.html 和 report.html。output.xml 记录的测试结果是 xml 文件,这个文件不够直观。根据特定的需要可以编写脚本读取 xml 文件并生成特定的测试报告。相比较而言 log.html 和 report.html 报告要直观得多,因为是 html 格式的嘛。查看 log.html 文件,点击 Run 标签而上的“Log”按钮,通过默认浏览器打开。
![python之robotframework+ride测试框架 python之robotframework+ride测试框架](/default/index/img?u=)