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Making a new release of jupyterlab-synthetic-data

The extension can be published to PyPI and npm manually or using the Jupyter Releaser.

Manual release

Python package

This extension can be distributed as Python packages. All of the Python packaging instructions in the pyproject.toml file to wrap your extension in a Python package. Before generating a package, we first need to install build.

pip install build twine hatch

Bump the version using hatch. By default this will create a tag. See the docs on hatch-nodejs-version for details.

hatch version <new-version>

To create a Python source package (.tar.gz) and the binary package (.whl) in the dist/ directory, do:

python -m build

python setup.py sdist bdist_wheel is deprecated and will not work for this package.

Then to upload the package to PyPI, do:

twine upload dist/*

NPM package

To publish the frontend part of the extension as a NPM package, do:

npm login
npm publish --access public

Automated releases with the Jupyter Releaser

The extension repository should already be compatible with the Jupyter Releaser.

Check out the workflow documentation for more information.

Here is a summary of the steps to cut a new release:

Fork the jupyter-releaser repo
Add ADMIN_GITHUB_TOKEN, PYPI_TOKEN and NPM_TOKEN to the Github Secrets in the fork
Go to the Actions panel
Run the "Draft Changelog" workflow
Merge the Changelog PR
Run the "Draft Release" workflow
Run the "Publish Release" workflow

Publishing to `conda-forge`

If the package is not on conda forge yet, check the documentation to learn how to add it: https://conda-forge.org/docs/maintainer/adding_pkgs.html

Otherwise a bot should pick up the new version publish to PyPI, and open a new PR on the feedstock repository automatically.

2.1 KiB Raw Blame History