因为工作需要,需要自己做压力测试,然后就寻找免费的测试框架,然后说python不错,然后就找到了这个基于python的测试框架multi_mechanize。
然后在网上搜了下关于这个multi_mechanize的东西,发现资料比较少,然后就找到这玩意的官网,搜集点资料,在自己机器上也试安装了下。发现还是蛮酷的。
下面介绍下安装过程,当然这是基于linux的,我是用cygwin安装的
先安装python,这个这里省略,搜下应该是一大堆资料
安装 setup模块
wget http://peak.telecommunity.com/dist/ez_setup.py
python ez_setup.py
去http://testutils.org/multi-mechanize/#examples下载Multi-Mechanize
上面还有文档,已经怎么开始自己的test script
解压
cd 到
cd multi-mechanize-1.2.0/
python setup.py install
创建测试项目,
multimech-newproject my_project
multimech-run my_project
$ multimech-run my_project
ERROR: can not import Matplotlib. install Matplotlib to generate graphs
user_groups: 2
threads: 6
[================100%==================] 30s/30s transactions: 114 timers: 114 errors: 0
analyzing results...
transactions: 115
errors: 0
test start: 2013-03-04 15:09:00
test finish: 2013-03-04 15:09:27
Traceback (most recent call last):
File "/usr/bin/multimech-run", line 8, in
load_entry_point('multi-mechanize==1.2.0', 'console_scripts', 'multimech-run')()
File "/usr/lib/python2.6/site-packages/multi_mechanize-1.2.0-py2.6.egg/multimechanize/utilities/run.py", line 64, in main
run_test()
File "/usr/lib/python2.6/site-packages/multi_mechanize-1.2.0-py2.6.egg/multimechanize/utilities/run.py", line 131, in run_test
results.output_results(output_dir, 'results.csv', run_time, rampup, results_ts_interval, user_group_configs, xml_report)
File "/usr/lib/python2.6/site-packages/multi_mechanize-1.2.0-py2.6.egg/multimechanize/results.py", line 65, in output_results
graph.resp_graph_raw(trans_timer_points, 'All_Transactions_response_times.png', results_dir)
File "/usr/lib/python2.6/site-packages/multi_mechanize-1.2.0-py2.6.egg/multimechanize/graph.py", line 23, in resp_graph_raw
fig = figure(figsize=(8, 3.3)) # image dimensions
NameError: global name 'figure' is not defined
这里会提示没有Matplotlib包,用来绘制结果图
安装Matplotlib包
需要先安装numpy 而安装numpy需要用到pip命令 于是一步步来安装
wget http://pypi.python.org/packages/source/p/pip/pip-0.2.1.tar.gz
tar xzf pip-0.2.1.tar.gz
cd pip-0.2.1/
python setup.py install
pip install numpy
cd matplotlib-1.2.0/
python setup.py install
好了 等安装完 再运行
multimech-newproject my_project
multimech-run my_project
就会运行成功
$ multimech-run my_project/
user_groups: 2
threads: 6
[================100%==================] 30s/30s transactions: 117 timers: 117 errors: 0
analyzing results...
transactions: 119
errors: 0
test start: 2013-03-04 17:04:49
test finish: 2013-03-04 17:05:17
created: ./my_project//results/results_2013.03.04_17.04.47/results.html
done.
在/my_project//results/results_2013.03.04_17.04.47/results.html 目录下就能看到测试的结果了。
如果要实现自己的测试案例 就按照官网上的文档来一步一步走就行了