Update pangeo-notebook metapackage version to 2023.06.30

[pangeo-bot]

A new pangeo-metapackage version has been detected.
Updated environment.ymls to use 2023.06.30.

[github-actions]

👈 Try on Mybinder.org!
👈 Try on Pangeo GCP Binder!
👈 Try on Pangeo AWS Binder!

[pangeo-bot]

/condalock
Automatically locking new conda environment, building, and testing images...

[scottyhq]

It's weird, I can't figure out where pangeo-notebook=2023.06.30 came from ?!... (conda-forge/pangeo-notebook-feedstock#159)

[weiji14]

Close this issue since as the 2023.06.30 tag was accidentally created and subsequently deleted as mentioned at conda-forge/pangeo-notebook-feedstock#159?

Also thinking whether to pin to jupyterlab<4, considering the compatibility issues with dask-labextension at #467 and jupyterlab-git at jupyterlab/jupyterlab-git#1245, possibly others too.

[yuvipanda]

@weiji14 yeah, I think pinning to JupyterLab < 4 until those get resolved is a good idea.

[scottyhq]

/condalock

[scottyhq]

pangeo-notebook 2023.06.30 (this PR) pins jlab<4

[sebastian-luna-valero]

When using https://github.com/pangeo-data/pangeo-docker-images/tree/2023.10.28/pangeo-notebook in daskhub-2023.1.0 I get:

(notebook) jovyan@jupyter-slunavalero:~$ jupyter labextension list
Config option `kernel_spec_manager_class` not recognized by `ListLabExtensionsApp`.
[W 2023-10-31 15:51:15.457 LabApp] Config option `kernel_spec_manager_class` not recognized by `LabApp`.
JupyterLab v4.0.7
/srv/conda/envs/notebook/share/jupyter/labextensions
        dask-labextension v7.0.0 enabled OK (python, dask_labextension)
        ipyspin v1.0.0 enabled OK
        ipytree v0.2.2 enabled OK
        ipyurl v0.1.2 enabled  X (python, ipyurl)
        jupyter-leaflet v0.17.4 enabled OK
        jupyterlab_pygments v0.2.2 enabled  X (python, jupyterlab_pygments)
        nbdime-jupyterlab v2.2.0 enabled  X
        @jupyter-notebook/lab-extension v7.0.6 enabled OK
        @jupyter-server/resource-usage v1.0.1 enabled OK (python, jupyter-resource-usage)
        @jupyter-widgets/jupyterlab-manager v5.0.9 enabled OK (python, jupyterlab_widgets)
        @jupyterhub/jupyter-server-proxy v4.1.0 enabled OK
        @jupyterlab/git v0.41.0 enabled  X (python, jupyterlab-git)
        @pyviz/jupyterlab_pyviz v3.0.0 enabled OK


   The following extensions are outdated:
        ipyurl
        jupyterlab_pygments
        nbdime-jupyterlab
        @jupyterlab/git
        
   Consider checking if an update is available for these packages.

Other labextensions (built into JupyterLab)
   app dir: /srv/conda/envs/notebook/share/jupyter/lab

And jupyterlab-git is not available. How should I proceed?

Thanks,
Sebastian

[weiji14]

And jupyterlab-git is not available. How should I proceed?

Yes, we're waiting for jupyterlab-git=0.50.0, see jupyterlab/jupyterlab-git#1245. There's a pre-release version already, but we'll need an official release that is on conda-forge too.

As a temporary workaround, you could try pip install --pre "jupyterlab-git==0.50.0a2". Or downgrade to a pangeo-notebook tag that uses JupyterLab 3.x (https://github.com/pangeo-data/pangeo-docker-images/releases/tag/2023.07.02 I think).