xmltodict VS taskipy

Your Cloud Function would be written in Node.js, Python, Go, Java, C#, Ruby, or PHP; pick the one you're most comfortable with. It would get the name and bucket of the newly uploaded XML file as an input parameter. It would then load the file and call a library that makes the conversion. Example libraries: xml-js (for Node), xmltodict (for Python).

Go with xmltodict. Works pretty fine, and you just have to drop any key begining with @ or # (if there is not already an option for that).

Nope, sorry, it's just an XML generator. The Python stdlib offers https://docs.python.org/3/library/xml.etree.elementtree.html and PyPI offers https://github.com/martinblech/xmltodict for parsing, and you could write CSV with csvwriter or pandas.

xmlstarlet is really nothing like jq, as a language. But yes, I use it because it is the best commandline xml processor I'd found. That's the only similarity to jq.

Is this the yq? https://kislyuk.github.io/yq/ It does contain an 'xq', as a literal wrapper for jq, piping output into it after transcoding XML to JSON using xmltodict https://github.com/martinblech/xmltodict (which explodes xml into separate JSON data structures).

This is a bash one-liner! But TBF it really is a 'jq for xml'. I think it would be horrible for some things, but you could also do a lot of useful things painlessly.

Super-easy, take a look at xmltodict https://github.com/martinblech/xmltodict xmltodict.parse(xml_str) gets you a dictionary

pdbpp: Improved pdb boltons: assorted python addtions twisted: event driven networking framework sorcery: Dark magic in python, things know where+how they are being called, helps reducing boilerplate sh: Better alternative for subprocess module, much more pythonic taskipy: npm run scipt_name like functionality snoop: pdb lite, record+replay function steps birdseye: graphical debugger remote-pdb: easy pdb from inside containers typer: wrapper around click for simpler code for CLIs arrow: Always TZ aware datetimes, plus more features more-itertools: more functions for iterators pydantic: data validation + dataclasses loguru: better logging notifiers: sending notifications from python

Taskipy

taskipy – complementary task runner for python

I always use Taskipy https://github.com/illBeRoy/taskipy to run tasks in my applications, works really well with Poetry so when I am running my dev Flask/FastAPI server and Celery or running my tests or format my code it's all there.

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In legacy (don't break anything) mode, there's still no reason to not switch. I export `requirements.txt` with poetry just for pip legacy reasons and it works great. If I just update some scripts, I could avoid it. It's running all the time in CI, it's exercised quite a bit.

What's wrong with just using pip and requirements.txt? There's no dev section. In addition, bumping deps is not the same. I have [a blog post](https://squarism.com/2021/09/10/sciencing-out-updates/) explaining semver updates to a python dev.

_my strong assertion:_ Python and Go missed it from the start. That's why it is so confusing. There's no other choice in Rust but Cargo. Rust devs are never confused on how to add a package, semver it. The answer is always Cargo. It's in the tutorial. It's in the book. It's in the culture.

I think I've heard that pip might support the pyproject spec, poetry already does. If you want scripts like npm, you can have that too with [taskipy](https://github.com/illBeRoy/taskipy). You don't have to.

taskipy