Quarto installation not found when rendering .qmd in VScode on Ubuntu 22.0

Bug description

The issue is similar to quarto-dev/quarto-cli#5572 (or quarto-dev/quarto-cli#1882): I installed the quarto CLI in a conda environment, which works fine for interactive use and in the VSCode terminal, but which somehow isn't properly detected by the quarto extension when trying to render a doc.

Steps to reproduce

Create the virtual environment with conda env create -f environment.yml, where environment.yml contains the following:

name: intro_to_python
channels:
  - conda-forge
dependencies:
  - python=3.12
  - pylint
  - yapf
  - build
  - jedi
  - unidecode
  - wheel
  - isort
  - ca-certificates
  - openssl
  - numpy
  - scipy
  - matplotlib
  - pandas
  - scikit-learn
  - seaborn
  - ipython
  - jupyter
  - certifi
  - quarto
  - perl

Then activate the created environment and verify that everything works with quarto:

conda activate intro_to_python
quarto check

Use a local .vscode/settings.json at the root of my workspace:

{
  "quarto.path": "path/to/your/envs/intro_to_python/bin/quarto",
}

/

Expected behavior

I expected the quarto VSCode extension to properly pick-up my quarto CLI install.

Actual behavior

The quarto VSCode extension does not detect my quarto CL install. Note that the same happens if I set "quarto.path" in the User's settings.json instead of the local one.

Your environment

VSCode on Ubuntu 22.0

Quarto check output

[✓] Checking versions of quarto binary dependencies...
      Pandoc version 3.1.1: OK
      Dart Sass version 1.58.3: OK
[✓] Checking versions of quarto dependencies......OK
[✓] Checking Quarto installation......OK
      Version: 1.3.450
      Path: /home/tvatter/mambaforge/envs/intro_to_python/bin

[✓] Checking basic markdown render....OK

[✓] Checking Python 3 installation....OK
      Version: 3.12.1 (Conda)
      Path: /home/tvatter/mambaforge/envs/intro_to_python/bin/python
      Jupyter: 5.7.1
      Kernels: python3

(/) Checking Jupyter engine render....0.00s - Debugger warning: It seems that frozen modules are being used, which may
0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
0.00s - to python to disable frozen modules.
0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
0.00s - Debugger warning: It seems that frozen modules are being used, which may
0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
0.00s - to python to disable frozen modules.
0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
[✓] Checking Jupyter engine render....OK

(\) Checking R installation...........Warning message:
D-Bus service not found!

- If you are in a container environment, please consider adding the
  following to your configuration to silence this warning:

  options(bspm.sudo = TRUE)

- If you are in a desktop/server environment, please remove any 'bspm'
  installation from the user library and force a new system
  installation as follows:

  $ sudo Rscript --vanilla -e 'install.packages("bspm", repos="https://cran.r-project.org")' 
[✓] Checking R installation...........OK
      Version: 4.3.2
      Path: /usr/lib/R
      LibPaths:
        - /home/tvatter/R/x86_64-pc-linux-gnu-library/4.3
        - /usr/local/lib/R/site-library
        - /usr/lib/R/site-library
        - /usr/lib/R/library
      knitr: 1.45
      rmarkdown: 2.25

[✓] Checking Knitr engine render......OK

Reproduce the setup from environment.yml on Ubuntu, activate the conda environment, run quarto check, and inspect the VSCode extension's handling of the quarto.path setting in .vscode/settings.json. Done means the extension detects the installed CLI and renders the .qmd document successfully with that configuration.