poetry2nix VS typer

How about converting it to Nix derivation?

https://github.com/nix-community/poetry2nix

This looks really strange because I do not know how to solve it and also because it looks like the sha256 that I am setting is not the one that Nix will match. I read also https://github.com/nix-community/poetry2nix/issues/413 but I was not able to solve the problem.

There's a project that does this with using Nix: https://github.com/takeda/nix-cde (this is a wrapper around https://github.com/nix-community/poetry2nix)

{ description = "Application packaged using poetry2nix"; inputs.flake-utils.url = "github:numtide/flake-utils"; inputs.nixpkgs.url = "github:NixOS/nixpkgs/nixos-unstable"; inputs.poetry2nix = { url = "github:nix-community/poetry2nix"; inputs.nixpkgs.follows = "nixpkgs"; }; outputs = { self, nixpkgs, flake-utils, poetry2nix }: flake-utils.lib.eachDefaultSystem (system: let # see https://github.com/nix-community/poetry2nix/tree/master#api for more functions and examples. inherit (poetry2nix.legacyPackages.${system}) mkPoetryEnv; pkgs = import nixpkgs {inherit system;}; python = pkgs.python310; pythonEnv = mkPoetryEnv { inherit python; projectDir = ./.; preferWheels = true; }; in { #packages.default = mkPoetryEnv { # projectDir = ./.; # python = pkgs.python310; #}; devShells.default = pkgs.mkShell { buildInputs = [pythonEnv]; packages = [ poetry2nix.packages.${system}.poetry pkgs.cairo pkgs.pkg-config pkgs.gobject-introspection pkgs.tk ]; }; }); }

A cleaner way might be to use https://github.com/nix-community/poetry2nix which can load poetry.lock inside Nix. I still need to try it for torch, but it does seem like a clean way to use it.

The README for poetry2nix (https://github.com/nix-community/poetry2nix) seems to indicate that all extras should be enabled by default.

if it's for a project you're working on, i'd recommend just using poetry2nix

poetry2nix is another popular option.

He is probably most well know for creating FastAPI that I taught to some of my clients and Typer that I've never used.

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/