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# mugen

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## mugen介绍

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mugen是openEuler社区开放的测试框架,提供公共配置和方法以便社区开发者进行测试代码的编写和执行
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## mugen使用说明

用户对mugen框架的使用是通过执行runoet接口来实现。runoet的接口详细说明如下:

- 参数说明:  
\-c: 测试环境配置  
\-a:执行所有的测试用例  
\-f:指定测试套执行  
\-r:指定测试套下测试用例的执行,当前支持单用例  
\-x:进入调试模式下执行测试用例  

- 使用示例
  - 配置测试环境  
  `bash runoet -c`
  - 执行所有用例  
  `bash runoet -a`
  - 执行指定测试套下所有用例  
  `bash runoet -f "xxx"`
  - 执行指定的用例  
  `bash runoet -f "xxx" -r "yyy"`
  - 进入调试模式下执行用例  
  `bash runoet -f "xxx" -r "yyy" -x`

- 使用说明
  - 测试环境需要通过runoet -c进行环境的配置,具体配置项用户可在conf/env.conf中进行配置
  - 所有的测试用例存放在testcases目录下
  - 测试套和测试用例的对应关系需要在suite2cases目录中进行定义
  - <font color="#660000">大家可以参考现有的测试模板进行用例开发</font>

- 框架目录  
&#160;&#160;![runoet_tree](data:image/png;base64,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)

## mugen框架中shell公共方法

- SSH_CMD
  - 对ssh进行封装,远程执行命令时无需进入交互模式
  - 使用方法  
  `SSH_CMD "$cmd" $REMOTEIP $REMOTEUSER $REMOTEPASSWD`

- SSH_SCP
  - 对scp进行封装,执行scp命令时无需进入交互模式
  - 使用方法
    - 本地文件传输到对端  
    `SSH_SCP $file $user@$ip:$remote_path "$remotepasswd"`
    - 本地文件传输到对端  
    `SSH_SCP $user@$ip:$remote_path/$file $local_path "$remotepasswd"`

- LOG_INFO
  - 输出INFO级日子  
  `LOG_INFO $log`
  
- LOG_WARN
  - 输出WARN级日子  
  `LOG_WARN $log`

- LOG_ERROR
  - 输出ERROR级日子  
  `LOG_WARN $log`

- DNF_INSTALL
  - 用于安装软件包  
  `DNF_INSTALL "vim bc nettools"`
  - 特别说明:建议需要安装的软件包,在前置处理中一次性安装完成

- DNF_REMOVE
  - 用于卸载软件包
  - 特别说明:依赖于 DNF_INSTALL,为了保证环境恢复的,会将DNF_INSTALL安装的所有包都进行卸载  
  `DNF_REMOVE`
  - 如果不想依赖DNF_INSTALL,单纯想要卸载某个包,需要在方法最后添加参数“1”  
  `DNF_REMOVE "tree" 1`

- REMOTE_REBOOT_WAIT
  - 多节点环境中,当对端进行重启操作,将用于等待对端完全重启  
  `REMOTE_REBOOT_WAIT $REMOTEUSER $REMOTEPASSWD $REMOTEIP`

- SLEEP_WAIT
  - 需要睡眠等待大于1秒的操作,不要直接使用sleep,建议使用SLEEP_WAIT  
  `SLEEP_WAIT 3`

- CHECK_RESULT
  - 对测试点进行检查,mugen框架将会对执行结果进行统计,所以务必使用此方法进行判断
  - 参数说明:
    - 参数1:实际结果  
    - 参数2:预期结果,默认为“0”  
    - 参数3:判断模式,默认为“0”:需要实际结果和预期结果一致;选择“1”:需要实际结果和预期结果不一致  
  `CHECK_RESULT 0 0`

## mugen中python公共方法

- 尽情期待。。。

## mugen的日志说明

所有用例执行结束之后

- 日志将存储到和runoet.sh同层的logs目录下面
- 执行结果将会存放到和runoet.sh同层的results目录下面
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lemon.higgins 已提交
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- logs和results目录会在用例执行之后自动生成