一键压测工具改造(locust)

本文内容来自“天外归云”大神,原文链接http://www.cnblogs.com/LanTianYou/p/5987741.html,目前只对启动脚本做了一些改造,应该说是,不适用powershell脚本,而使用bat批处理文件执行。之所以这么做,是考虑到powershell脚本运行权限默认没有开启,再者,开启了之后存在一定的风险。故做了这个简单的改造。

结构目录如下:

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" 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原来使用的是start.sp1启动脚本,用来调用start_locust.py,而后再由start_locust.py启动locust并载入用例locust_test.py

原powershell脚本如下:

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" 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现在要做的是,使用bat批处理文件实现相同功能。其实查看代码,比较简单,就是让用户传入两个参数,然后再将参数传给启动locust的脚本。知道怎么做了,就好办了,bat批处理文件脚本是通过set /p来传入参数的,那么稍微改下就好了。新建文本,重命名为start.bat。右键编辑。写入代码如下:

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" alt="" />

其实此时功能已经实现,但算不上完美,所有再加点提示,体验就更好了。

比如输入为空提示,为窗口加上标题、时间,

@echo off
:menu
echo 使用说明:
echo 先输入需要压测的网站host,在输入路由,即会自动打开页面、进行压力测试
:start1
title 这是一个一键压测工具,现在时间是:%time%
echo 第一步,请先输入压测网站host(例如:http://www.cnblogs.com)
set /p a=:
if "%a%" == "" goto sorry1
echo 您输入的压测host是:%a% :start2
title 这是一个一键压测工具,现在时间是:%time%
echo 第二步,然后再输入压测网站host后的路由(例如:/mikasama)
set /p b=:
if "%b%" == "" goto sorry2
echo 您输入的压测路由是:%b% python .\start_locust.py %a% %b%
pause
goto end :sorry1
echo Warnning!!!Please enter the host!(eg:http://www.cnblogs.com)
goto start1 :sorry2
echo Warnning!!!Please enter the rout!(eg:/mikasama)
goto start2 :end
echo 不要瞎点,已经开始测试了

效果如下:

一键压测工具改造(locust)

好了,现在可以愉快的玩耍了。注意,目前这个工具只针对单个页面进行压力测试,下一篇再讲如何将locust作为生产力工具,实现关联测试,各种场景如多用户每个用户只执行一次、多用户使用不用参数进行测试等等。

=====================================locust第一部分已完结================================

有个想法,也不知道可不可行,用django搭建一个性能测试平台,将locust整合进去。只要点点点就可以进行压力测试,不过听起来有点像是在造*,毕竟接口测试的工具实在太多了,比如postman、jmeter等。试想一下,比如我想测试一个接口,先不考虑验签等问题,它需要传5个参数,其中有个参数需要传大量不同数据,现在我只需要将固定的参数填上,而那个需要大量数据的参数,它的value我点击下上传按钮,将已经准备好的csv、excel或者json,都好,上传完毕,选择压力测试运行模式(施压模式,如所有虚拟用户循环使用数据、每个用户只能使用一个等等),点击start按钮,开始压测,并自动跳转到对应监控页面。虽然只是想想,但感觉好激动啊,一旦实现了,那做起性能测试来,太方便啦。而且还可以设计一个接口出来,用来修改脚本,定时器什么的肯定要的,只要有脑洞,都可以做上去吧。

灵感来自于公司运维同学正在做的自动化运维平台,整个运维过程,只要点点点,这种思想其实应该算是来自jenkin吧。当我发现他们正在做这个的时候,特别兴奋,也许,性能测试也可以这么整,于是有了上面的“胡思乱想”。无论如何,试试吧。记在这里,不要忘了此想法,尽快实现。

有个疑问,locust是基于flask的,那么搭这平台用django还是flask呢?打住打住,不要想了,请先动手,谢谢。

一键压测工具改造(locust)

时间:20180127

上一篇:jmeter的dubbo压测,依赖jar包要放到执行机的lib/ext下


下一篇:http、https的压测工具——apacheab 、webbench