Skip to main content

NASA Terra UI Components Library

Project description

Terra UI Components

Intro

Forking the Repo

Start by forking the repo on GitHub, then clone it locally and install dependencies.

git clone https://github.com/YOUR_GITHUB_USERNAME/components terra-ui-components
cd terra-ui-components
npm install

Developing

Once you've cloned the repo, run the following command.

npm start

This will spin up the dev server. After the initial build, a browser will open automatically. There is currently no hot module reloading (HMR), as browser's don't provide a way to reregister custom elements, but most changes to the source will reload the browser automatically.

Building

To generate a production build, run the following commands.

npm run build # to build the Lit components

Creating New Components

To scaffold a new component, run the following command, replacing terra-tag-name with the desired tag name.

npm run create terra-tag-name

This will generate source files, a stylesheet, a Jupyter widget, and a docs page for you. When you start the dev server, you'll find the new component in the "Components" section of the sidebar. Do a git status to see all the changes this command made.

Testing Components in Jupyter Lab

Install the uv package manager (https://github.com/astral-sh/uv), it's a lightweight tool that makes working with virtual environments and packages much easier.

Then run the following:

  • uv venv - create a virtual environment (only have to do this the first time)
  • source .venv/bin/activate - activate it
  • uv pip install -e ".[dev]" - install dependencies (see pyproject.toml)
  • open base.py and point dependencies to localhost (do not commit these changes) TODO: fix this so we auto-detect local development
  • npm run start:python - spins up Jupyter lab and should open the browser for you

For an example of how to use the components in a Jupyter Notebook, open the /notebooks/playground.ipynb notebook in Jupyter Lab.

Publishing to NPM and PyPI

The Lit components are available on NPM at: https://www.npmjs.com/package/@nasa-terra/components The Python widgets are available on PyPI: https://pypi.org/project/terra_ui_components/

To build a new version and publish it, you can use NPM commands. The Python equivalents will be run automatically for you (see the "scripts" in package.json for details). You will need access to both repositories in order to publish.

# commit all your changes first
npm version patch # bump the version, you can use "major", "minor", "patch", etc.
npm publish --access=public

License

Terra UI Components were created by the NASA GES DISC team, on top of the amazing library Shoelace.

Shoelace was created by Cory LaViska and is available under the terms of the MIT license.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

terra_ui_components-0.0.158.tar.gz (4.3 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

terra_ui_components-0.0.158-py3-none-any.whl (30.3 kB view details)

Uploaded Python 3

File details

Details for the file terra_ui_components-0.0.158.tar.gz.

File metadata

  • Download URL: terra_ui_components-0.0.158.tar.gz
  • Upload date:
  • Size: 4.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-httpx/0.28.1

File hashes

Hashes for terra_ui_components-0.0.158.tar.gz
Algorithm Hash digest
SHA256 3710654aad3c7b9c4429d99362cba75fdadc95b87cb1dd0de578fa02ad2d0fab
MD5 13844cae9ca980c3b2bab3fbbf62f362
BLAKE2b-256 cf13fdf070e93e01b28227616ea4c11d67bb9ac627ad8c6e5489931bfa86e7c3

See more details on using hashes here.

File details

Details for the file terra_ui_components-0.0.158-py3-none-any.whl.

File metadata

File hashes

Hashes for terra_ui_components-0.0.158-py3-none-any.whl
Algorithm Hash digest
SHA256 d934410fe1d5f954a2d10fc5ad8a6ccd6a1eeeb46e353d4c5644a4b1417dd18e
MD5 d760b8bdad84923d7832adfc72e0453d
BLAKE2b-256 5de9e2d40a0c440ee3a2521a21b8960aad1ebb15e76391d7bf163586220ba48a

See more details on using hashes here.

Supported by

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