FDC3 enabled Jupyter Widgets
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This project was bootstrapped using the FINOS Software Project Blueprint.
Project blueprint is a GitHub repository template for all Fintech Open Source Foundation (FINOS) hosted GitHub repositories, contributed and maintained by FINOS as part of the Open Developer Platform (ODP) initiative.
Copyright 2020 Fintech Open Source Foundation
Distributed under the Apache License, Version 2.0.
SPDX-License-Identifier: Apache-2.0
This project was bootstrapped as described in the documentation - link
Note this project uses yarn for package management.
All I've done is add an nvmrc and add the yarn.lock to source.
A Custom Jupyter Widget Library
You can install using pip:
pip install jupyter_finos_widgetsIf you are using Jupyter Notebook 5.2 or earlier, you may also need to enable the nbextension:
jupyter nbextension enable --py [--sys-prefix|--user|--system] jupyter_finos_widgetsCreate a dev environment:
conda create -n jupyter_finos_widgets-dev -c conda-forge nodejs yarn python jupyterlab
conda activate jupyter_finos_widgets-devInstall the python. This will also build the TS package.
pip install -e ".[test, examples]"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 .
yarn run build
For classic notebook, you need to run:
jupyter nbextension install --sys-prefix --symlink --overwrite --py jupyter_finos_widgets
jupyter nbextension enable --sys-prefix --py jupyter_finos_widgets
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 use JupyterLab to develop then 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 widget.
# Watch the source directory in one terminal, automatically rebuilding when needed
yarn run watch
# Run JupyterLab in another terminal
jupyter labAfter a change wait for the build to finish and then refresh your browser and the changes should take effect.
If you make a change to the python code then you will need to restart the notebook kernel to have it take effect.
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>