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That’s because it’s impossible to properly sandbox the config parsing. It’s also a horrible experience to debug configs.

But it’s still better than templating yaml.



People interested in configuring Python software in Python should look into Starlark. There are Python bindings for two versions of Starlark: Go (https://github.com/caketop/python-starlark-go) and Rust (https://github.com/inducer/starlark-pyo3). I used python-starlark-go for a time in a project that ran on x86-64 Linux and had no problems with it. (I stopped because my project's configuration turned out simpler than expected, so I switched to TOML.)

Worth noting that it is specifically CPython that has been called impossible to sandbox. (2014 discussion: https://news.ycombinator.com/item?id=8280053.) It may be possible to sandbox PyPy. PyPy has a sandboxing feature its website calls a "working prototype" (https://www.pypy.org/features.html#sandboxing). If someone invested in it—potentially a huge effort—it could plausibly become good enough for configuration. But, IMO, Starlark is a better choice here because it was designed for isolation from the start. If you wanted to invest in Python-as-config-for-Python, a good use of your time might be improving Starlark for Python.


Looks very interesting. Thanks for the pointer.




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