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Currently there are two efforts to convert a Python program to a Texera workflow:
Using an LLM to do the conversion. It can leverage latest AI techniques, but doesn't guarantee the equivalence between the two "programs". It's led by @zyratlo and @mengw15. See the discussion [WIP] Python Notebook → Texera Workflow migration tool using LLMs #5959 .
Using compiling techniques to do the conversion. It can guarantee the equivalence between the two "programs." It's led by @carloea2. See this discussion Proposal: Statement-level Python-to-Texera workflow compiler MVP #8160.
These two approaches have their pros and cons. We can present both to users and let users decide.
I want to start this discussion to let the community be aware of the two efforts, and provide feedback, if any.
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