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RELEASE.md
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# Making a new release of JupyterLab Classic
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This process is still a bit manual and consists in running a couple of commands.
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This should normally be possible to automate the process at some point.
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## Getting a clean environment
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Creating a new environment can help avoid pushing local changes and any extra tag.
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```bash
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mamba create -q -y -n jupyterlab-classic-release -c conda-forge twine nodejs -y
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conda activate jupyterlab-classic-release
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```
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Alternatively, the local repository can be cleaned with:
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```bash
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git clean -fdx
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```
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## Releasing on PyPI
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Make sure the `dist/` folder is empty.
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1. Update [jupyterlab_classic/\_version.py](./jupyterlab_classic/_version.py) with the new version number
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2. Run: `python setup.py sdist bdist_wheel`
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3. Double check the size of the bundles in the `dist/` folder
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4. Test the release by installing the wheel or sdist: `python -m pip install ./dist/jupyterlab_classic-0.1.1-py3-none-any.whl
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5. Commit the changes
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- `git add jupyterlab_classic/_version.py`
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- `git commit -m "Release x.y.z"`
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5. `export TWINE_USERNAME=mypypi_username`
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6. `twine upload dist/*`
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## Publish the packages to npm
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1. Bump the version in
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2. `jlpm run lerna version x.y.z --no-push --amend --force-publish`
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3. `jlpm run lerna publish from-package`
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## Committing and tagging
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Push the release commit to the `main` branch:
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```bash
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git push origin main
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```
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Then create a new release from the GitHub interface.
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