checkr VS typer

Interestingly, I've written a command-line application called checkr to do something like this. It will generate a hash for all files and can store them in a database. I've only tested it on a few hundred files at a time, so I'm not sure if it'll work in your case, but if you want to give it a try, I'm happy to help, including adding functionality to the tool. I have plans to make it into something that could be run as a daemon or run in a container, but I haven't gotten there yet.

Anywho, checkr is a command-line tool that will scan some files and record checksum digests for each file. Then, you can later check those to see if there have been any changes. By default, an SQLite database is used via SQLAlchemy to store the results, but there is an option to use a flat CSV file instead. I used Typer to structure the command interface and Rich for the progress bar and some other output.

I have been using Typer on every one of my CLI projects which uses Click under the hood. The documentation is fantastic, the CLI app it produces looks great and lets you create things quickly. I high recommend it.

https://typer.tiangolo.com/

Adding CLI capabilities. My preferred library here is typer.

I just heard about this but it seems to be pretty much the type of thing you want and want fast.

Docstrings are for documenting how a function/ class/ method/ module works. Often you don't need to add a docstring to your main function because no one will be importing it to use elsewhere. And if you want it to run as a CLI, then there are better ways to document the available options. For example, typer does most of it for you, or in click you add the help text to the decorator.

Most computing tasks in airflow DAGs are KubernetesPodOperator containing a CLI (Python Typer). It allows us to pass arguments easily to run DAG manually if needed (the new UI to pass arguments to DAG in airflow 2.6 is really nice). Arguments allow us to replay DAG easily (change start / end dates for instance).

So it's basically the main .gitlab-ci.yml file plus a separate Python CI app using Typer for the AWS instrumentation.

Similarly for Typer, which is literally "the FastAPI of CLIs"[1]. Handy to type your `main` parameters and have CLI argument parsing. For more complicated cases, it's a wrapper around Click.

[1] https://typer.tiangolo.com/

interesting that you hate python, but love Click. Did you try Typer which uses Click underneath?