[DISCUSS] Use semantic PR titles to help with change log generation?

We have been using github-changelog-generator [1] to generate changelogs for the Rust projects for some time now. It has served us well but is no longer workable, at least for DataFusion. This tool seems to pull down the entire project history using the GitHub API and we had to artificially slow it down to avoid hitting API rate limits, and it is now unusable due to the number of issues and PRs in this repo.

This weekend, I built a much simpler changelog generator in Python [2], that I am now using for the projects that I am the release manager for (datafusion, datafusion-python, ballista). It has almost the same functionality that we were getting from the previous generator, but takes less than a minute to run, compared to 30+ minutes for the old generator. It only hits the GitHub API for information about commits and pull requests in the release being documented, rather than accessing the entire project history.

I followed the same approach of using GitHub labels to categorize PRs (enhancements, bug fixes, docs, etc) but this requires a small amount of manual effort to add those labels and re-generate the changelog.

I noticed that some contributors are already prefixing PR titles with "feat:", "feature:", "fix:", "docs:", etc. I plan on updating the changelog generator to recognize these prefixes as well, to help automate my job.

I wonder if it is worth formalizing these "semantic titles" more, and maybe having CI enforce them. It would improve the quality of our changelogs and reduce the burden on release managers.

I would appreciate any feedback on this idea.

Thanks,

Andy.

[1] https://github.com/github-changelog-generator/github-changelog-generator
[2] https://github.com/andygrove/changelog-genie

Empieza leyendo el proyecto changelog-genie enlazado y comparándolo con github-changelog-generator para comprender el flujo de trabajo actual de releases. Después, revisa la discusión sobre los títulos semánticos de los PR, las categorías basadas en labels y la posible aplicación mediante CI. La tarea estaría terminada cuando exista un enfoque decidido y documentado, en lugar de una propuesta abierta.

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