Re: Announce: Log Detective - AI tool to analyze build logs failures

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On Wed, Jan 17, 2024 at 12:34 Jiri Kyjovsky wrote:
> Hey, Fedora devs!
>
> Ever find yourself lost in the labyrinth of build logs, desperately seeking
> the elusive culprit behind a failed build? Enter Log Detective – your
> future personal AI guru dedicated to unravelling the mysteries of build log
> failures within the RPM community.
>
> *What is Log Detective?*
>
> Log Detective will be an AI tool for analyzing failed build logs in the RPM
> community. We are currently in the early stage of development and plan to
> train the AI using real-world data from maintainers, creating a specialized
> model for error identification. Thus we created a data collection portal
> [1], where you can contribute your failed build logs.
>
> *Why Log Detective?*
>
> Diving into build logs feels like navigating a jungle of thousands of
> lines. When a build fails, spotting the glitch easily turns into a
> head-scratcher even for pros. "ERROR" in logs doesn't guarantee always a
> quick fix, and these errors don't reveal themselves at the log's end.
> Untangling this requires a keen understanding of packaging difficulties.
>
> *Help us shape the future of Log Detective!*
>
> We're reaching out to developers like you to contribute by uploading your
> recent failed build logs on our website [1] and explaining why the build
> failed. Your input is crucial in building the dataset that will train Log
> Detective's AI model. By participating, you're playing a key role in
> creating a tool to streamline error resolution for the entire RPM
> community. Join us in making Fedora even more powerful!
>
> *How to contribute data to Log Detective data collection website?*
>
> Visit log-detective.com [1] and share your recent failed build. We can
> fetch the logs from build systems like Copr [2], Koji [3], services like
> Packit [4] or arbitrary URL. Highlight the lines in the log associated with
> the failure and describe how it can be fixed. The more detailed, the
> merrier for our final tool, and the more hints for you and other developers
> when your build fails in future.
>
> *Join the Log Detective!*
>
> Drop by our GitHub repository [5] to share your ideas. Let's collaborate to
> build a tool that changes the game for handling build log failures.
>
> Log Detective isn't just a tool, it's your AI sidekick for defeating build
> log challenges. Be part of the revolution!
>
> Cheers,
> The Log Detective Crew
>
> [1] - https://log-detective.com/
> [2] - https://copr.fedorainfracloud.org/
> [3] - https://koji.fedoraproject.org/
> [4] - https://packit.dev/
> [5] - https://github.com/fedora-copr/log-detective-website

Hello,

I'm building a similar project named logjuicer using the
following dataset for evaluation:
  https://github.com/logjuicer/logjuicer-tests

How do you store the collected data and is there a schema/library to
access it?

Cheers,
-Tristan

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