climb-onyx-gui 0.12.11

JupyterLab extension for the Onyx Graphical User Interface

Onyx GUI JupyterLab Extension

Overview

A JupyterLab extension for the Onyx Graphical User Interface, with links to the CLIMB-TRE documentation.

This extension is composed of a Python package named climb-onyx-gui (available on PyPI here) that wraps an NPM package (of the same name here) which provides the frontend logic from the Onyx GUI.

Documentation can be found here.

Setup

Install from PyPI

Assuming you have JupyterLab installed:

$ pip install climb-onyx-gui

Otherwise:

$ pip install "jupyterlab>=3" climb-onyx-gui

Build from source

Clone the repository:

$ git clone https://github.com/CLIMB-TRE/onyx-extension.git
$ cd onyx-extension/

Ensure you have Miniconda (or an alternative conda installer) available. Installation instructions for Conda can be found here.

Create and activate a conda environment with JupyterLab and NodeJS:

$ conda create -n jupyterlab-ext -c conda-forge jupyterlab=4 nodejs=20
$ conda activate jupyterlab-ext

Install the extension dependencies with the JupyterLab package manager jlpm:

$ jlpm install

Build the extension and install it:

$ jlpm run build
$ pip install -ve .

Optionally, copy and edit .env.example with ONYX_DOMAIN and ONYX_TOKEN for your development instance of Onyx:

$ cp .env.example .env
$ source .env # After editing

You can now launch JupyterLab with:

$ jupyter lab

And the Onyx extension will be ready on the launcher.

Local development

If you wish to develop the extension, ensure you have followed the above steps to build, install and run the extension from source.

From there, you can simply modify the extension code and dependencies, and reinstall/rebuild the extension by executing:

$ jlpm install && jlpm run build && pip install -ve .

and then relaunching JupyterLab.

Troubleshooting

If you are seeing the frontend extension, but it is not working, check that the server extension is enabled with:

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 with:

jupyter labextension list