Boil custom packages in Jupyterhub

JupyterHub Zero to JupyterHub on Kubernetes
1

Hi, I’m aiming at pre installing python packages for my JH Kubernetes deployment.

Could you guide me to documentation or some guide on doing it?

Thank you,

2

Since you are using Kubernetes, you have to build a custom Docker image, most likely based on one of the official Jupyter Docker images. For example:

# Make sure to match your JupyterHub application version
FROM quay.io/jupyter/datascience-notebook:hub-5.2.1

USER root

# Install OS packages, dependencies, packages, ...
# For example:
RUN pip install jupyter-ai[all]

USER jovyan

After building and probaly pushing your image to a public or private Docker image registry (e.g., DockerHub, GitHub CR, …), you have to specify the Docker image in your Helm config:

3

Thank you! I created one and I wrote the name of the image in singleuser.image.name in the value.yaml of the helm chart

FROM quay.io/jupyter/base-notebook:latest

USER root

# Install OS packages, dependencies, packages, ...
# For example:
#RUN pip install jupyter-ai[all]
RUN pip install --no-cache-dir minio pandas

USER jovyan

But the deployment does not succeed; the hook-image-puller pods do not run.

I tried running the image as a single image, it throws the following error:

> k logs jhminio

exec /usr/bin/tini: exec format error

Looking forward for some hints.

4

Can you please ensure that you are running the correct image? I just built your image myself, and it’s working just fine.

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