I was working on another random side project and wanted to define configs like Pydantic-Settings without actually pulling in all of Pydantic into my project, so I started writing a custom config class which turned out generic enough that I could break it off into its own thing.

One of the main things I wanted is to be able to load a TOML file for settings but to also be able to override each config option with an env var. I also really like Pydantic’s use of Annotation[..., ...] type-hinting so I did something similar

I don’t really expect it to be used by anyone else but I’m excited about putting out my first PyPi package and figured I’d share it here :)

Any feedback is very welcome!

PyPi link: https://pypi.org/project/pymicroconf/

Also AI disclosure: I got AI to partially write the description but the code itself isn’t written by AI

    • NotSteve_@piefed.caOP
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      12 days ago

      Me too! It’s by far the best config language IMO :). I don’t know why anybody chooses to torture themselves with using YAML for their projects

  • dance_ninja@lemmy.world
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    12 days ago

    Thanks for sharing! I’ve been using TOML for some simple user-friendly config settings. It’s great to see more structured approaches to using it.