JupyterLab Extension Manager on JupyterHub for individual users

Q&A
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#1

I am using JupyterHub 1.1.0 on Ubuntu 18.04 LTS installed in /opt/jupyterhub. The JupyterHub is started as a root service. I use JupyterLab 2.1.2 as my default interface. However, when I log in to JupyterLab as a single user, I cannot install extensions. When I try to install an extension, I get this error:

Error communicating with server extension. Consult the documentation for how to ensure that it is enabled.

Reason given:

Error: 500 (Internal Server Error)

I have run JupyterLab standalone from the terminal with the debug flag and I can see it is a permissions issue. If I run JupyerLab with “sudo” I can install extensions. The same is true if I install from the terminal with “sudo”. Is there any way to create this behavior when starting an instance through the JupyterHub spawner? Ideally, I’d like for other users to be able to install extensions as well.

#2

Are there any restrictions you wish? Because some extensions are just installed through pip or conda - and pip allows to install arbitrary code. That means if anybody can install extensions though that methods, they can tamper with the system. I don’t know whether this is relevant for your use case.

Can you share the exact commands you used to install the extensions?

#3

There are only a few of us using the server. I think I’ll be the only one using JupyterLab extensions.
Here’s an example for a theme I just installed.

sudo /opt/jupyterhub/bin/jupyter labextension install @oriolmirosa/jupyterlab_materialdarker

I can also achieve this through the extension manager if I first start JupyterLab like this.

sudo /opt/jupyterhub/bin/jupyter lab --allow-root

I’d like to be able to install extensions from my user/admin account with a JupyterLab session spawned by JupyterHub. Is it possible to restrict install permissions to a user or group?

#4

From my understanding of the documentation this is not possible if all users should share one existing jupyterlab instance. In that case, each user can activate or deactivate installed extensions independently. So would that also serve your purpose? You can install all labextensions for yourself and just tell the others not to activate them? Otherwise maybe (!) a conda environment specific jupyterlab extension for each user could work? Somebody would need to confirm this.

I am pretty sure that spawners like dockerspawner which have a higher degree of isolation would suit your requirements because there each user works on their own jupyterlab installation which they can modify as they wish.

#5

I’ve been playing with DockerSpawner all day and haven’t succeeded in implementing it. Initially, I was hoping to have something similar to RStudio Server, but for Python. I suspect if I were able to get the DockerSpawner functional, it would be similar. It looks like there’s talk of developing a proper guide here - https://github.com/jupyterhub/jupyterhub/issues/3007. I might hold off on trying to sort through the DockerSpawner option until there are more coherent instructions.

For now though, my priority is to have JupyterLab spawned for me via JupyterHub and to be able to add extensions freely through my interface. Is there a way to make it so my user can add extensions via the Extension Manager? Or do I just need to issue “sudo” labextension installs from the terminal? Thanks for your help!

#6

I am not sure what you struggle with when working with DockerSpawner. I have one (oldish) example configuration at this repository.

For the second paragraph, I can’t tell you. Either somebody else has an idea or you need to dig deeper into the documentation about whether and how each user can have their personal (conda) environment with their personal jupyterlab installation on the JupyterHub I guess.

#7

Your repository was very helpful! I was able to successfully spawn notebooks using DockerSpawner. I still have some work to do to understand how to implement this using my own Dockerfile. Right now, I’m just using the docker stacks found here. The important thing is that it works, though! Thanks for the help.

#8

I am happy that I could help you about this. Good luck with adjusting the configuration to your needs!

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