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Jupyter Contents

Jupyter Contents Specification​

You can create on your content definitions ready to be used in Jupyter Environments.

AWS S3 Buckets and Git Repositories contents are supported for now.

The content specifications often rely on secrets the cluster manager will need to create.

The complete specification is available here and the following sections show simple examples.

Manage the Contents​

kubectl get jupyter-contents -A
kubectl get jupyter-contents -o yaml -A

AWS S3 Example​

In this example, the authentication must be stored in the s3-secret secret providing the following key.

  • access_key_id
  • secret_access_key
  • region
cat <<EOF | kubectl apply -f -
apiVersion: datalayer.io/v1
kind: JupyterContent
metadata:
  name: s3-satellite-sentinels-images-content
  namespace: datalayer-jupyter
spec:
  description: Satellite images from Sentinels mission.
  type: s3
  source: datalayer-dev
  permissions: ro
  secret: s3-secret
EOF
kubectl get jupyter-contents -A
kubectl get jupyter-contents -o yaml -A

Git Repository Example​

In this example, the Git repository must be public.

cat <<EOF | kubectl apply -f -
apiVersion: datalayer.io/v1
kind: JupyterContent
metadata:
  name: jakevdp-sklearn-tutorial-content
  namespace: datalayer-jupyter
spec:
  description: Jake VanderPlas scikit-learn tutorial
  type: git
  source: https://github.com/jakevdp/sklearn_tutorial.git
EOF