mccabe VS click

mccabe for Ned’s script to check McCabe complexity

Cyclomatic Complexity is a metric used to determine the stability of your code. It basically boils down to the more code you have the more problems that can arise in said code. There are even modules for python to check your cyclomatic complexity. It goes hand in hand with separating your code out into modules. I work for a FAANG company and we usually want to keep our cyclomatic complexity less than 10 with that tool above.

Mccabe—a Python complexity checker;

A more advanced best practice would be separating different functions of your code into different files to keep Cyclomatic Complexity low. More code usually = more problems can be in said code. There’s even a tool you can use to determine how complex your code is called mccabe. Lower is better with that

Flake8: a combination of following linters: PyFlakes, pycodestyle, Ned Batchelder’s McCabe script

Context: "click" - "Command Line Interface Creation Kit" - easily create CLIs from Python code, via adding decorators: https://github.com/pallets/click

"click-web" in turn turns the click CLI app into a web app with one line of code.

there is also click, it is more straight forward and also nice to keep the relevant code where the code is. https://github.com/pallets/click/

I don't have huge experience with Python, but I used async code with C#/Typescript and lately I had to use some asyncio magic.

I found this article: https://blog.dalibo.com/2022/09/12/monitoring-python-subproc... and while async/await syntax is the same, it's not entirely clear for me, why there's some event loop and what exactly happens, when I pass function to asyncio.run(), like here: https://github.com/pallets/click/issues/85#issuecomment-5034...

So, you can use it and it's not that hard, but there are some parts that are vague for me, no matter which language implements async support.

Hmm… did you try such approaches, as [click](https://github.com/pallets/click) or[tap](https://github.com/swansonk14/typed-argument-parser)?

This app leverages these powerful libraries: - yt-dlp: video downloader - moviepy: video trimmer/merger - click: CLI app creator - rich / rich-click: CLI app styler

I've used click [1] a lot to build Python tooling scripts the past few years. Click usage is "sort of" similar to the author's proposed solution. There's also a small section here [2] that describes some of the issues covered in the article (in context of argparse).

[1] - https://github.com/pallets/click

I think the success of Arduino in the hardware world can be explained in a similar way, as the relative success of "command line app frameworks" like Click[1], or even much lighter-weight libraries like argparse[2]. You absolutely can get away with using just getopt[3] (and people experienced with it will likely strongly prefer it). However certain factors such as a more declarative API, a nice logo, the existence of an ecosystem (even if you're not actively drawing from it), an official "branded" forum, etc can all play into picking a more complex solution, with more baggage you don't need, certain oddities that may throw users off, etc.

[1]: https://click.palletsprojects.com/

[2]: https://docs.python.org/3/library/argparse.html

[3]: https://man.openbsd.org/getopt.3, https://linux.die.net/man/3/getopt

Exactly! You can also use a library like click (https://github.com/pallets/click) to help take care of the command line side, while you focus on the 'business logic' of your application :)