Detect multiple environments

[aseyboldt]

If a project has multiple environments (for instance one with gpu and one without), it would be nice if this would show a kernel for each of those environments.

[roaldarbol]

I think my issue falls under this one - at least it's also related to the environments. I've tried making a Jupyter feature, but the kernel doesn't detect my IRKernel:

[project]
name = "testing"
version = "0.1.0"
description = "Add a short description here"
authors = ["Your Name <and@email>"]
channels = ["conda-forge", "https://prefix.dev/r-forge/"]
platforms = ["osx-64"]

[tasks]

[dependencies]
r-base = "4.2"

[feature.jupyter.dependencies]
jupyterlab = "*"
pixi-kernel = "*"
r-irkernel = "*"

[environments]
jupyter = ["jupyter"]

So the r-irkernel is installed within the feature, but it doesn't get detected:

I open Jupyter with pixi run -e jupyter jupyter lab.

[renan-r-santos]

I would love to be able to support Pixi features and environments but I couldn't come up with a good design for this yet. The way this library works doesn't allow for dynamically creating kernel specs based on Pixi environments.
Maybe we could somehow use pixi.toml to define which environment to use when launching a kernel, but I don't believe that would provide a good UX.
I'm very much open to discussing ideas and/or PRs.

[renan-r-santos]

Quick update: jupyter/enhancement-proposals#87 should enable pixi-kernel to detect and use multiple environments seamlessly. It is marked for Jupyter 4.4, so it might take a while to land.
I'm looking for alternative approaches such as https://github.com/deshaw/ksmm meanwhile. If anyone wants to work on this, let me know.