I’m pretty familiar with automated tests where you’re comparing a received value to an expected value (e.g. basically all unit/integration tests) — in a CI/CD workflow, you handle test failures by failing the whole pipeline, and then that commit/PR/etc has a pipeline that failed next to it.
However, what if I have some kind of “performance” measure I want to track, instead? Something that isn’t pass/fail, but rather a set of experimental results over time? (e.g. speed of responses from an API, wins/draw/loss rates on chess bot, confusion matrix scores for a classifier, etc.) Is there a tool that can show that kind of “automated experiment” results in order by git commit, pull request, etc?
I thought about sending the data to some kind of data store with a Grafana front-end, but I was hoping there might be some less “diy” method for creating such a display.
This is on my list to do - if you find a good solution do let us know!
I was thinking of just doing the quick-and-dirty approach of appending the data to a file in the repo and auto-committing it. Just have some previous commit information, test name, and results appended every time. That way the head always has the full history of data in order so you can just push/pull that into anything and analyse/graph it without messing about.
I’d probably only do it on push/PR merge so in the grand scheme of things would never really become a lot of data, but you could truncate it as you go easy enough.
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This is on my list to do - if you find a good solution do let us know!
I was thinking of just doing the quick-and-dirty approach of appending the data to a file in the repo and auto-committing it. Just have some previous commit information, test name, and results appended every time. That way the head always has the full history of data in order so you can just push/pull that into anything and analyse/graph it without messing about.
I’d probably only do it on push/PR merge so in the grand scheme of things would never really become a lot of data, but you could truncate it as you go easy enough.