jupyterlab-collaborative-chat-extension
v0.5.0
Published
A chat extension based on shared documents
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Readme
jupyterlab_collaborative_chat
A chat extension based on shared documents.
This extension is composed of a Python package named jupyterlab_collaborative_chat
for the server extension and a NPM package named jupyterlab-collaborative-chat-extension
for the frontend extension.
This extension registers a YChat
shared document, and associate the document to a
chat widget in the front end.
Requirements
- JupyterLab >= 4.0.0
Install
To install the extension, execute:
pip install jupyterlab_collaborative_chat
Uninstall
To remove the extension, execute:
pip uninstall jupyterlab_collaborative_chat
Troubleshoot
If you are seeing the frontend extension, but it is not working, check that the server extension is enabled:
jupyter server extension list
If the server extension is installed and enabled, but you are not seeing the frontend extension, check the frontend extension is installed:
jupyter labextension list
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 jupyterlab_collaborative_chat directory
# Install package in development mode
pip install -e ".[test]"
# 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
Development uninstall
pip uninstall jupyterlab_collaborative_chat
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 jupyterlab-collaborative-chat-extension
within that folder.
Testing the extension
Frontend tests
This extension is using Jest for JavaScript code testing.
To execute them, execute:
jlpm
jlpm test
Integration tests
This extension uses Playwright for the integration tests (aka user level tests). More precisely, the JupyterLab helper Galata is used to handle testing the extension in JupyterLab.
More information are provided within the ui-tests README.
Packaging the extension
See RELEASE