pydantic-to-typescript VS vim-jumpsuite

Bit niche, but I like using pydantic-to-typescript (https://github.com/phillipdupuis/pydantic-to-typescript) to automatically generate typescript definitions for my fastapi apps. Or any app which uses pydantic models.

Complete documentation, examples, and the source code can all be viewed here: https://github.com/phillipdupuis/pydantic-to-typescript

There are also some packages out there for converting the types directly into their typescript equivalents: https://github.com/phillipdupuis/pydantic-to-typescript/

Oh, you're in luck because I've actually written this exact plugin, it's called vim-jumpsuite. It is personally one of my special weapons that's becoming completely indispensable for me.

vim-jumpsuite: parses python tracebacks and identifies the most "interesting" part of the stack to create a jump list; despite vim being in the name, the python part of the plug-in is usable with any editors that supports parsing grep/quickfix-style output

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vim-jumpsuite for creating a quickfix/loclist jumps out of unittest tracebacks

vim-test with lieryan/vim-jumpsuite

For more elaborate cases, I wrote a plugin that summarises python traceback into the quickfix list. vim-jumpsuite is designed to be used when writing unittest/pytest; for each failing test, it'll try to pick the three most important locations that you'll want to jump to. You can also configure certain files/functions to never be picked by vim-jumpsuite.

Plug: one of the most valuable plugin for me are the vim plugin that I wrote myself: lieryan/vim-jumpsuite. It's a plugin to quickly jump to "interesting" line of code from your test suite by converting unittest reports to a Quickfix jumplist. The plugin uses some customizable heuristics to find the lines from tracebacks that are most likely to be most useful to your code.