Skip to main content

A JupyterLab extension providing an interface to StarChat.

Project description

aolney_jupyterlab_starchat_extension

Github Actions Status Binder

Note You will need a StarChat endpoint. See starchat-service

A JupyterLab extension that implements the StarChat coding assistant. U

The following query string parameters enable functionality:

The log data format is {username: string, json: string}.

Requirements

  • JupyterLab >= 4.0.0

Install

To install the extension, execute:

pip install aolney_jupyterlab_starchat_extension

Uninstall

To remove the extension, execute:

pip uninstall aolney_jupyterlab_starchat_extension

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 aolney_jupyterlab_starchat_extension 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

Development uninstall

pip uninstall aolney_jupyterlab_starchat_extension

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 @aolney/jupyterlab-starchat-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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

aolney_jupyterlab_starchat_extension-0.1.1.tar.gz (194.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

File details

Details for the file aolney_jupyterlab_starchat_extension-0.1.1.tar.gz.

File metadata

File hashes

Hashes for aolney_jupyterlab_starchat_extension-0.1.1.tar.gz
Algorithm Hash digest
SHA256 db406c37c97bcfceb36ccd1afa32384030222ff5f3114bf9782ef50419244f7d
MD5 dbaf8d56ea5036cca6d12b580d5ebda2
BLAKE2b-256 1c7aaa84faddf9e2d8b9eeb7f34f3090728741f1eb1773124c4922abeb980815

See more details on using hashes here.

File details

Details for the file aolney_jupyterlab_starchat_extension-0.1.1-py3-none-any.whl.

File metadata

File hashes

Hashes for aolney_jupyterlab_starchat_extension-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 c34bfba557cbdbec52ae9ba5ef35523311b4a21e830dbcd9ebd79347f407c767
MD5 5fef41f6b7002a313c04363e20620ecb
BLAKE2b-256 82850abc38861ea559bd14f496aa28c9444d01c2efaa588991ff945f55613245

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page