New jupyter service

[teto]

Issue description

Follow up of the newly merged jupyter service (thanks to the authors, that's super cool !):
4d3ce5c from the PR #33673

First of all I've noticed a few errors in the doc (space/missing curly dollar) that generates errors.
For instance if I use the exmaple given for services.jupyter.kernels, I get:
string 'lib/python3.6/site-packages/ipykernel/resources/logo-32x32.png' doesn't represent an absolute path, at /home/teto/dotfiles/nixpkgs/modules/jupyter.nix:35:20

I am looking at getting ihaskell running through this new service which makes ./services/misc/ihaskell.nix redundant (should we remove it ?). It would be better to have the ihaskell package generate a kernel.json as sagemath does (well it's just copied from upstream "/share/jupyter/kernels/sagemath/kernel.json").

A bit of doc on kernel specs:
nixos/modules/services/development/jupyter/kernel-options.nix
https://jupyter-client.readthedocs.io/en/stable/kernels.html#kernel-specs

[teto]

I managed to make the ihaskell work with the new service (see IHaskell/IHaskell#920) but it's still impractical since I had to wrap ihaskell etc. We definitely should have packages generate a kernel.json and just load it the jupyter service (eventually using JUPYTER_PATH).

[kenogo]

I'm definitely interested in how to get python3 to work! Even when removing the logo options, the notebook still isn't able to connect to the kernel. I'm not sure what the -f {connection_file} is supposed to do either. Python doesn't even seem to have a -f flag

Edit: Nevermind, it works on localhost so it has got to be something with my nginx config. I'll write back when I figured it out.

2nd Edit: Fixed it, it must have had something to do with supporting Websocket. I just added the lines of nginx configuration from here

[bsima]

Just to chime in with my experience:

• the logo32x32 and logo64x64 docs are incorrect, I couldn't get them to work after trying to point to the right place and just commented them out for now. For the record, they should point here but when I try to do so it says that logo32x32 should either be null or path or something like that.
• if running Jupyter behind Nginx, you need to enable proxyWebsockets, for example:

  "example.com".locations."/" = {
      proxyPass = "http://111.222.333.444:9999";
      proxyWebsockets = true;
  }

  You should probably also enable all the services.nginx.recommended* options.
• argv should be: [ "${env.interpreter}" "-m" "ipykernel_launcher" "-f" "{connection_file}" ], optionally broken up into a list of multiple strings. The last argument {connection_file} seems to be a special flag passed to ipykernel_launcher

Some details on what's necessary in the kernel spec: #10713 (comment)

[jraygauthier]

@teto You might want to take a look at #61177 and IHaskell/IHaskell#1027 for the ihaskell integration.

[stale]

Thank you for your contributions.

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[jraygauthier]

Alright, closing. Indeed no longer interested now that I'm using jupyterWIth.