Semantics are gonna get you. Especially if they use idiomatic stuff like (!x && x == y) and rely on JS type coercion.
In this sense an LLM or hand crafted approach may win out.
Also API will likely be different.
There are some jobs that contain rather simple JavaScript snippets, and I was trying to design a first prototype that simply takes the JS parts and runs them in a transpiler.
In this respect, I found a couple of packages that could be leveraged: - js2py: https://github.com/PiotrDabkowski/Js2Py - mini-racer: https://github.com/bpcreech/PyMiniRacer Yet, both seem to be abandoned packages that might not be suitable for usage in production.
Therefore, I was thinking about parsing and translating Javascript's abstract syntax trees to Python. Whereas a colleague suggested I bring up an LLM pipeline.
How much of an overkill that might be? Has anyone else ever dealt with a JavaScript-to-Python migration and could share heads-ups on strategies or pitfalls to avoid?