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Custom Dash components for the subsurface

Project description


webviz_subsurface_components is a Dash component library for use in webviz.

You can quickly get started with:

  1. Run pip install webviz-subsurface-components
  2. Run python examples/
  3. Visit http://localhost:8050 in your web browser


This project was generated by the dash-component-boilerplate. It contains the minimal set of code required to create a custom Dash component.

Install dependencies

If you have selected install_dependencies during the prompt, you can skip this part.

  1. Install npm packages

    npm install
  2. Create a virtual env and activate.

    virtualenv venv
    . venv/bin/activate

    Note: venv\Scripts\activate for windows

  3. Install python packages required to build components.

    pip install .[dependencies]
  4. Install the python packages for testing (optional)

    pip install .[tests]

Write component code in src/lib/components/<component_name>.react.js

  • The demo app is in src/demo and you will import your example component code into your demo app.

  • Test your code in a Python environment:

    1. Build your code
      npm run build:all
    2. Run and modify the sample dash app:
  • Write tests for your component.

    • A sample test is available in tests/, it will load and you can then automate interactions with selenium.

    • Run the tests with pytest tests.

    • The Dash team uses these types of integration tests extensively. Browse the Dash component code on GitHub for more examples of testing (e.g. dash-core-components).

  • Add custom styles to your component by putting your custom CSS files into your distribution folder (webviz_subsurface_components).

    • Make sure that they are referenced in so that they get properly included when you're ready to publish your component.

    • Make sure the stylesheets are added to the _css_dist dict in webviz_subsurface_components/ so dash will serve them automatically when the component suite is requested.

  • Review your code

Build code and install

  1. Build your code:
    npm run build:all
  2. Install the Python package:
    python install

Project details

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