Sky Port Terminal for Jupyter

Sky Port project

Sky Port is an universal bus between user software and compute resources. It can also be considered as a transportation layer between workload producers and compute resource providers. Sky Port makes it easy to connect user software to different cloud resources.

Sky Port integration

The current project represents a custom spawner that allows to configure spawning options and submit jupyterlab job over Sky Port. The spawner python package is distributed vis PyPI as swm-jupyter-spawner.

Development environment for the spawner

Ensure conda and pip are installed and accessable via $PATH (installed in the dev container image by default).

1. Create conda environment

# Run the dev container from swm-core first, then switch to swm-jupyter-term directory
conda create -n swm-jupyter --override-channels --strict-channel-priority -c conda-forge -c anaconda nodejs configurable-http-proxy
conda init bash

Activate conda:

conda activate swm-jupyter

Deactivate conda:

conda deactivate

For local testing:

docker pull jupyter/datascience-notebook:hub-3.1.1

2. Configure virtualenv

make prepare-venv

JupyterHub spawner

All you need to start using it is to have swm-core container running and then you start and login to jupyterhub. In order to start jupyterhub manually in a terminal:

conda activate swm-jupyter
. .venv/bin/activate
jupyterhub

Contributing

We appreciate all contributions. If you are planning to contribute back bug-fixes, please do so without any further discussion. If you plan to contribute new features, utility functions or extensions, please first open an issue and discuss the feature with us.

License

We use a shared copyright model that enables all contributors to maintain the copyright on their contributions.

This software is licensed under the BSD-3-Clause license.