A JupyterLab extension that periodically fetches announcements from an external API to and creates a button in the JupyterLab status bar that can display the announcement in a modal window.
Originally forked from and heavily based on the similar nersc-refresh-announcements project, we are grateful to NERSC for sharing their work as the basis of our own. Nevertheless stsci-announce has diverged substantially in terms of the message protocol used and other supporting programs we developed independently, and so to avoid confusion between what are now two different things, we have rebranded as stsci-announce.
- JupyterLab >= 3.0
To install the extension, enter the root repository folder and execute:
pip install .To remove the extension, execute:
pip uninstall stsci-announceIf that does not work, you can directly delete the extension folder from Jupyter. See this link to find where your extensions are installed.
The default url that the extension will attempt to fetch announcements from is
<base url>/services/announcement/latest-v2. If you wish to change that url you
can do so per user in JupyterLab under the advanced settings window. You
can also change that url for every user on the system by modifying Jupyter's
overrides.json file. Click
this link
to see where your overrides.json file is installed. Similarly, the refresh
interval that controls how often the announcement API is checked can also
be configured either per user or system-wide.
View the examples_overrides.json file above to see how to format this file.
There are two assumptions made about the announcements API. The first is that it has Cross-Origin Resource Sharing enabled and is accessible from the url that the JupyterLab server is running on (for most users this is localhost:8888, but if you use a JupyterHub service or other portal it might be different) or that the announcements API is hosted on the same origin. You might have to work with your announcements API provider to ensure your JupyterLab is allowed to fetch from that url. The second assumption is that the API will return a json object that has an "announcement" field (i.e. {"announcement": "Hello, World!"}).
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 stsci-announce 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 run buildYou 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 run watch
# Run JupyterLab in another terminal
jupyter labWith 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 run 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=Falsepip uninstall stsci-announceIn 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 nersc-refresh-announcements within that folder.