quarto-dev / quarto-dev/quarto-cli
quarto check support for Julia engine
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Description
Bug description
I am currently debugging my quarto julia setup and I was surprised not to be able to check the julia installation with quarto check julia.
From this check I would have expected to get at least the version of julia that is used and the version of the QuartoNotebookRunner as well as the path of the environment that the QuartoNotebookRunner is run from.
Steps to reproduce
No response
Expected behavior
No response
Actual behavior
No response
Your environment
Ubuntu 24.04
Quarto check output
Quarto 1.6.33
[✓] Checking environment information...
Quarto cache location: /home/fcremer/.cache/quarto
[✓] Checking versions of quarto binary dependencies...
Pandoc version 3.4.0: OK
Dart Sass version 1.70.0: OK
Deno version 1.46.3: OK
Typst version 0.11.0: OK
[✓] Checking versions of quarto dependencies......OK
[✓] Checking Quarto installation......OK
Version: 1.6.33
Path: /opt/quarto/bin
[✓] Checking tools....................OK
TinyTeX: v2022.12.12
Chromium: (not installed)
[✓] Checking LaTeX....................OK
Using: TinyTex
Path: /home/fcremer/.TinyTeX/bin/x86_64-linux
Version: 2022
[✓] Checking basic markdown render....OK
[✓] Checking Python 3 installation....OK
Version: 3.12.3 (Conda)
Path: /home/fcremer/Documents/NFDI4Earth/lhbarticles/.CondaPkg/env/bin/python
Jupyter: (None)
Jupyter is not available in this Python installation.
Install with conda install jupyter
[✓] Checking R installation...........OK
Version: 4.3.3
Path: /home/fcremer/Documents/NFDI4Earth/lhbarticles/.CondaPkg/env/lib/R
LibPaths:
- /home/fcremer/Documents/NFDI4Earth/lhbarticles/.CondaPkg/env/lib/R/library
knitr: (None)
rmarkdown: (None)
The knitr package is not available in this R installation.
Install with install.packages("knitr")
The rmarkdown package is not available in this R installation.
Install with install.packages("rmarkdown")
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start at the quarto check julia entry point and compare it with the existing Python and R checks shown in the Quarto check output. Done means the Julia check reports the Julia version, QuartoNotebookRunner version, and environment path when debugging a Julia setup.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- cli
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100