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Contributing

Development install

Note: You will need NodeJS to build the extension package.

The jlpm command is JupyterLab's pinned version of yarn that is installed with JupyterLab. You may use yarn or npm in lieu of jlpm below.

# Clone the repo to your local environment
# Change directory to the jupyterlite_ai directory
# Install package in development mode
pip install -e "."
# Link your development version of the extension with JupyterLab
jupyter labextension develop . --overwrite
# Rebuild extension Typescript source after making changes
jlpm build

You can watch the source directory and run JupyterLab at the same time in different terminals to watch for changes in the extension's source and automatically rebuild the extension.

# Watch the source directory in one terminal, automatically rebuilding when needed
jlpm watch
# Run JupyterLab in another terminal
jupyter lab

With the watch command running, every saved change will immediately be built locally and available in your running JupyterLab. Refresh JupyterLab to load the change in your browser (you may need to wait several seconds for the extension to be rebuilt).

By default, the jlpm build command generates the source maps for this extension to make it easier to debug using the browser dev tools. To also generate source maps for the JupyterLab core extensions, you can run the following command:

jupyter lab build --minimize=False

Running UI tests

The UI tests use Playwright and can be configured with environment variables:

  • PWVIDEO: Controls video recording during tests (default: retain-on-failure)
    • on: Record video for all tests
    • off: Do not record video
    • retain-on-failure: Only keep videos for failed tests
  • PWSLOWMO: Adds a delay (in milliseconds) between Playwright actions for debugging (default: 0)

Example usage:

# Record all test videos
PWVIDEO=on jlpm playwright test

# Slow down test execution by 500ms per action
PWSLOWMO=500 jlpm playwright test

# Combine both options
PWVIDEO=on PWSLOWMO=1000 jlpm playwright test

Contributing to documentation

The documentation is built using MyST and Jupyter Book. The source files are located in the docs/ folder.

To preview the documentation locally:

# Start a local development server with live reload
jlpm docs

To build the documentation as static HTML:

jlpm docs:build

Development uninstall

pip uninstall jupyterlite-ai

In development mode, you will also need to remove the symlink created by jupyter labextension develop command. To find its location, you can run jupyter labextension list to figure out where the labextensions folder is located. Then you can remove the symlink named @jupyterlite/ai within that folder.

Packaging the extension

See RELEASE