Skip to main content

Extension to provide support for venvs

Project description

SwanCustomEnvironments

Github Actions Status

Extension to create custom software environments

This extension is composed of a Python package named swancustomenvironments for the server extension and a NPM package named swancustomenvironments for the frontend extension.

Requirements

  • JupyterLab >= 4.0.0

Install

To install the extension, execute:

pip install swancustomenvironments

For now, it's necessary to add the templates path to the Jupyter configuration file. This can be done by executing:

echo -e '\nc.ServerApp.extra_template_paths = ["/opt/conda/lib/python3.11/site-packages/swancustomenvironments/templates/"]' >> /home/${NB_USER}/.jupyter/jupyter_server_config.py

Uninstall

To remove the extension, execute:

pip uninstall swancustomenvironments

Troubleshoot

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

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:

jupyter labextension list

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 swancustomenvironments directory
# Install package in development mode
pip install -e "."
# Link your development version of the extension with JupyterLab
jupyter labextension develop . --overwrite
# Server extension must be manually installed in develop mode
jupyter server extension enable swancustomenvironments
# 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

# Server extension must be manually disabled in develop mode
jupyter server extension disable swancustomenvironments
pip uninstall swancustomenvironments

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 swancustomenvironments within that folder.

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

swancustomenvironments-0.0.14.tar.gz (112.2 kB view details)

Uploaded Source

Built Distribution

swancustomenvironments-0.0.14-py3-none-any.whl (46.4 kB view details)

Uploaded Python 3

File details

Details for the file swancustomenvironments-0.0.14.tar.gz.

File metadata

File hashes

Hashes for swancustomenvironments-0.0.14.tar.gz
Algorithm Hash digest
SHA256 d9f39dd7741e17b8ff6b24b4de9f12b1bd47f6cb52c9b1f1db7d45e81e54f499
MD5 0a685647e2913de22743c23dd96db6ce
BLAKE2b-256 7946094ebe7535585df536f52b400ae019f9093c1998ca181f32f7b301f3d321

See more details on using hashes here.

File details

Details for the file swancustomenvironments-0.0.14-py3-none-any.whl.

File metadata

File hashes

Hashes for swancustomenvironments-0.0.14-py3-none-any.whl
Algorithm Hash digest
SHA256 fd50927222604c43d96aa82dcc838dd02d456b06efa8480a087b1c6480cb5859
MD5 4242f3dad05053589e388548536793e1
BLAKE2b-256 16a1237b04f25c9eb3240951557469981a2de9dbb3f248b421cd511eda2340eb

See more details on using hashes here.

Supported by

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