pactortester / garbevents Goto Github PK
View Code? Open in Web Editor NEWBuried point data testing tool.
Home Page: https://pypi.org/project/garbevents/
License: MIT License
Buried point data testing tool.
Home Page: https://pypi.org/project/garbevents/
License: MIT License
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拆分后获取API地址====>nyar
Addon error: Traceback (most recent call last):
File "/Users/a/PycharmProjects/ATo/garb-events/venv/lib/python3.7/site-packages/garbevents/sensors_events.py", line 67, in request
request_content = str(flow.request.content).split('&')[2].split('=')[1]
IndexError: list index out of range
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本地没有生成now_data.txt 和lost_data.txt 文件,只能抓取到请求
hi,
这里是易观旗下产品——易观Argo的运营同学朱楠,我们在一个开发者社区看到garbevents的埋点适配计划,非常希望可以和garbevents一起合作,加入埋点适配计划,特此申请。
我们看到garbevents的埋点适配计划里包含诸葛IO、神策数据、GrowingIO埋点数据、mixpanel等,易观也在做基于用户行为的分析、运营及画像产品,即易观方舟产品套件,目前客户数量已达500+,并基于产品产出了金融、新零售、汽车、教育等行业解决方案。易观同时积极深耕开发者生态:
开源调度产品被纳入Apache孵化器项目——apache dolphinscheduler,目前社区人数已达3000+,
开源易观SDK https://github.com/analysys ,
并积极为presto、clickhouse等社区贡献,
而为了践行“数据能力平民化”、更于2019年推出了易观方舟产品套件中的用户行为分析产品免费版,取名为Argo, https://github.com/analysys/argo-installer ,因此而荟聚了近2000 Argo 社区爱好者,赋能数百家中小企业搭建用户行为分析系统。
以上陈述皆为表达易观对加入garbevents 埋点适配计划的决心、努力和能力,盼回复。可联系我的邮箱[email protected]
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