monkeyking/RELEASE.md

Making a new release of JupyterLab Classic

This process is still a bit manual and consists in running a couple of commands.

This should normally be possible to automate the process at some point.

Getting a clean environment

Creating a new environment can help avoid pushing local changes and any extra tag.

mamba create -q -y -n jupyterlab-classic-release -c conda-forge twine nodejs jupyter-packaging jupyterlab -y
conda activate jupyterlab-classic-release

Alternatively, the local repository can be cleaned with:

git clean -fdx

Releasing on PyPI

Make sure the dist/ folder is empty.

1. Update jupyterlab_classic/_version.py with the new version number
2. Commit the changes

• git add jupyterlab_classic/_version.py
• git commit -m "Release x.y.z"

3. Bump the frontend packages:

• jlpm
• jlpm run lerna version x.y.z --no-push --amend --force-publish

4. Run: python setup.py sdist bdist_wheel
5. Double check the size of the bundles in the dist/ folder
6. Test the release by installing the wheel or sdist: `python -m pip install ./dist/jupyterlab_classic-x.y.z-py3-none-any.whl
7. export TWINE_USERNAME=mypypi_username
8. twine upload dist/*

Releasing on conda-forge

The simplest is to wait for the bot to automatically open the PR.

Alternatively, to do the update manually:

1. Open a new PR on https://github.com/conda-forge/jupyterlab-classic-feedstock to update the version and the sha256 hash
2. Wait for the tests
3. Merge the PR

The new version will be available on conda-forge soon after.

Publish the packages to npm

1. Publish the packages: jlpm run lerna publish from-package

Committing and tagging

Push the release commit to the main branch:

git push origin main

Then create a new release from the GitHub interface.