Svelte Jupyter Widget Example
This is an updated example of using Svelte in a custom Jupyter widget. It was created from widget-ts-cookiecutter. For an older example, see widget-svelte-cookiecutter.
Development Installation
Create a dev environment:
conda create -n svelte-widget -c conda-forge nodejs yarn python jupyterlab
conda activate svelte-widget
Install the Python package. This will also build the JS package.
pip install -e ".[test,examples,docs,dev]"
When developing your extensions, you need to manually enable your extensions with the notebook / lab frontend. For lab, this is done by the command:
jupyter labextension develop --overwrite .
For classic notebook, you need to run:
jupyter nbextension install --sys-prefix --symlink --overwrite --py svelte_widget
jupyter nbextension enable --sys-prefix --py svelte_widget
Note that the --symlink flag doesn't work on Windows, so you will here have to run
the install command every time that you rebuild your extension. For certain installations
you might also need another flag instead of --sys-prefix, but we won't cover the meaning
of those flags here.
If you need to re-run pip install -e . at some point after running jupyter labextension develop --overwrite . or jupyter nbextension install --sys-prefix --symlink --overwrite --py svelte_widget, then you will either need to remove the symbolic links created by those commands or modify the install command to pip install --ignore-installed -e .. For lab, you can remove the symbolic links with
rm /Users/danielkerrigan/opt/miniconda3/envs/svelte-widget/share/jupyter/labextensions/svelte_widget
You will need to update this path to the labextensions folder based on the output of jupyter labextension list. For notebook, you can do that same, except replace labextensions with nbextensions in the path. Or, you can run jupyter nbextension uninstall svelte_widget.
How to see your changes
Typescript:
Watch the source directory and run Jupyter lab or notebook at the same time in different terminals to watch for changes in the extension's source and automatically rebuild the widget.
# Watch the source directory in one terminal, automatically rebuilding when needed
jlpm run watch
# Run JupyterLab in another terminal
jupyter lab
After a change wait for the build to finish and then refresh your browser and the changes should take effect.
Python:
If you make a change to the python code then you will need to restart the notebook kernel to have it take effect.
VSCode Setup
The following extensions are useful when developing in VSCode:
.vscode/settings.json contains modified settings for linting and formatting code. You will need to update the pylint, python, and node paths in this file.
Updating the version
To update the version, install tbump and use it to bump the version. By default it will also create a tag.
pip install tbump
tbump <new-version>
