Skip to main content

A JupyterLab extension for hub_extension from databrix Project

Project description

databrix_hub_extension

Github Actions Status Binder

A JupyterLab extension for hub_extension from databrix Project

Requirements

  • JupyterLab >= 4.0.0

Install

To install the extension, execute:

pip install databrix_hub_extension

Uninstall

To remove the extension, execute:

pip uninstall databrix_hub_extension

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 databrix_hub_extension 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 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

pip uninstall databrix_hub_extension

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 databrix_hub_extension within that folder.

Testing the extension

Frontend tests

This extension is using Jest for JavaScript code testing.

To execute them, execute:

jlpm
jlpm test

Integration tests

This extension uses Playwright for the integration tests (aka user level tests). More precisely, the JupyterLab helper Galata is used to handle testing the extension in JupyterLab.

More information are provided within the ui-tests README.

Packaging the extension

See RELEASE "# hub_extension"

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

databrix_hub_extension-0.1.1.tar.gz (140.0 kB view details)

Uploaded Source

Built Distribution

databrix_hub_extension-0.1.1-py3-none-any.whl (16.7 kB view details)

Uploaded Python 3

File details

Details for the file databrix_hub_extension-0.1.1.tar.gz.

File metadata

  • Download URL: databrix_hub_extension-0.1.1.tar.gz
  • Upload date:
  • Size: 140.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.11.9

File hashes

Hashes for databrix_hub_extension-0.1.1.tar.gz
Algorithm Hash digest
SHA256 5ceebdc103e6eadd4444b7a04bf07556cdb49ffc60b638ab6f2fa00131dcedc1
MD5 046f0b46c9dd8fe9a2734b9473d5a5ef
BLAKE2b-256 c733e654e5c92d8ac503ece3c952b4a45be803a806f824bc645016cad5ff670f

See more details on using hashes here.

File details

Details for the file databrix_hub_extension-0.1.1-py3-none-any.whl.

File metadata

File hashes

Hashes for databrix_hub_extension-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 1347a266179dbce9f79b3b4bc81050d7df648c2803c5213a5eca72eba386048e
MD5 2eb7e4ba552796d89560048ce9c6f349
BLAKE2b-256 499b97e9f2e15e2dd7e2c3c9f05cccb3f9b468b1d06dd14c552bdfa837cb314b

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