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Automated issue-frequency HipChat notifier
Python
branch: master

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alertlib @ 323aee7
.gitignore
.gitmodules
README.md
github_reports.py
jira_reports.py
requirements.txt
util.py
zendesk_reports.py

README.md

beep-boop

This script monitors our UserVoice and GitHub (Khan/khan-exercises) issues and notifies us in a HipChat room when the bug report rates are far enough above the mean rate to have a very high probability of being due to an abnormal event (think a newly introduced bug).

"Far enough above" is given by a Poisson distribution with a certain probability threshold -- if the probability of seeing at least this number of bug reports due to random chance is low enough, we send a notification, because it's likely that this elevated rate is due to a bug.

This uses alertlib (a sub-repo) to talk to hipchat. alertlib requires being able to import a file called secrets.py with the contents: hipchat_alertlib_token = ""

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