mito_ai

AI chat for JupyterLab. This codebase contains two main components:

1. A Jupyter server extension that handles the backend logic for the chat.
2. Several JupyterLab extensions that handle the frontend logic for interacting with the AI, including the chat sidebar and the error message rendermime.

Requirements

• JupyterLab >= 4.0.0

Install

To install the extension, execute:

pip install mito-ai

Uninstall

To remove the extension, execute:

pip uninstall mito-ai

Contributing

Development install

To ensure consistent package management, please use jlpm instead of npm for this project.

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.

# Clone the repo to your local environment
# Change directory to the mito-ai directory

# Required to deal with Yarn 3 workspace rules
touch yarn.lock

# Install package in development mode
pip install -e ".[test, deploy]"

# Install the node modules
jlpm install

# Link your development version of the extension with JupyterLab
jupyter labextension develop . --overwrite

# Start the jupyter server extension for development
jupyter server extension enable --py mito-ai

# Rebuild extension Typescript source after making changes
# In case of Error: If this command fails because the lib directory was not created (the error will say something like
# unable to find main entry point) then run `jlpm run clean:lib` first to get rid of the old buildcache 
# that might be preventing a new lib directory from getting created. 
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 mito-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 mito-ai 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