Locust CSV 统计测试结果
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通过CSV格式自定义测试报告
如果你希望基于CSV文件使用locust的测试结果。
在这种场景下下，有两种方法可以执行此操作。
首先，在通过 Web UI 运行 Locust 时，可以在 Download Data 选项卡下找到CSV文件。
其次，可以使用带有 flag 的Locust运行脚本，该 flag 将定期保存两个CSV文件。
如果您打算使用--no-web, flag 自动运行 Locust，这将特别有用：
$ locust -f examples/basic.py --csv=example --no-web -t10m
这些文件将被命名 example_distribution.csv 和 example_requests.csv （使用时--csv=example）并镜像Locust的内置统计信息页面。
如果您希望写入频率更快（或更慢），也可以自定义频率：
import locust.stats
locust.stats.CSV_STATS_INTERVAL_SEC = 5 # default is 2 seconds
This data will write two files with _distribution.csv and _requests.csv added to the name you give:
此数据将使用写入两个文件，_distribution.csv and _requests.csv 添加到您提供的名称中：
$ cat example_distribution.csv
"Name","# requests","50%","66%","75%","80%","90%","95%","98%","99%","100%"
"GET /",31,4,4,4,4,4,4,4,4,4
"/does_not_exist",0,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"
"GET /stats/requests",38,3,4,4,4,4,5,5,5,5
"None Total",69,3,4,4,4,4,4,5,5,5
和:
$ cat example_requests.csv
"Method","Name","# requests","# failures","Median response time","Average response time","Min response time","Max response time","Average Content Size","Requests/s"
"GET","/",51,0,4,3,2,6,12274,0.89
"GET","/does_not_exist",0,56,0,0,0,0,0,0.00
"GET","/stats/requests",58,0,3,3,2,5,1214,1.01
"None","Total",109,56,3,3,2,6,6389,1.89
