Metadata-Version: 2.1
Name: webviz-core-components
Version: 0.0.11
Summary: Core components for webviz config
Home-page: https://github.com/equinor/webviz-core-components
Author: R&T Equinor <akia@equinor.com>
License: LGPL-3.0
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        # Webviz core components
        
        `webviz_core_components` is a Dash component library for use in `webviz`.
        
        You can quickly get started with:
        
        1.  Run `pip install webviz-core-components`
        2.  Run `python usage.py`
        3.  Visit http://localhost:8050 in your web browser
        
        > :warning: The components here are used by [`webviz-config`](https://github.com/equinor/webviz-config).
        In order to facilitate a strong [CSP configuration](https://developer.mozilla.org/en-US/docs/Web/HTTP/CSP),
        this package has a side effect of changing the Plotly distribution coming with
        [`dash-core-components`](https://github.com/plotly/dash-core-components) to one
        that do not rely on [`eval()`](https://developer.chrome.com/extensions/contentSecurityPolicy#relaxing-eval).
        More specifically it changes from `plotly-full` to `plotly-cartesian` bundle. This will be
        necessary in order to enforce a strong CSP configuration as long as
        [this `plotly` issue](https://github.com/plotly/plotly.js/issues/897) and
        [this `dash-core-components` issue](https://github.com/plotly/dash-core-components/issues/462)
        both are open. Note that this side-effect only takes place if `dash-core-components`
        is installed, which is a requirement if the `Graph` component from this repository
        is going to be used.
        
        ## How to contribute
        
        ### Install dependencies
        
        If you want to build and develop yourself, you should fork + clone the repository, and
        then:
        
        1. Install npm packages
            ```
            npm ci --ignore-scripts
            ```
        2. Run the project's own `postinstall` script
            ```
            npm run postinstall
            ```
        3. Install python packages required to build components.
            ```
            pip install .[dependencies]
            pip install dash[dev]
            ```
        4. Install the python packages for testing.
            ```
            pip install .[tests]
            pip install dash[testing]
            ```
            The second of these commands appears to be necessary as long as
            [this `pip` issue is open](https://github.com/pypa/pip/issues/4957).
        
        ### Write component code in `src/lib/components/<component_name>.react.js`
        
        - The demo app is in `src/demo` and is where you will import an example of your
          component. To start the existing demo app, run `npm start`.
        - To test your code in a Python environment:
            1. Build your code
                ```
                npm run build
                ```
            2. Install the Python pacakge in development mode (if not already done and
               assuming you are using a virtual environment):
                ```
                pip install -e .
                ```
            3. Create a new example in `examples/` which uses your new component.
        
        -   Write tests for your component.
            -   Tests exist in `tests/`. Take a look at them to see how to write tests using
                the Dash test framework.
            -   Run the tests with `pytest tests`.
        
        -   Add custom styles to your component by putting your custom CSS files into
            your distribution folder (`webviz_core_components`).
            -   Make sure that they are referenced in `MANIFEST.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_core_components/__init__.py` so dash will serve them
                automatically when the component suite is requested.
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Classifier: Natural Language :: English
Classifier: Topic :: Multimedia :: Graphics
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: License :: OSI Approved :: GNU Lesser General Public License v3 (LGPLv3)
Description-Content-Type: text/markdown
Provides-Extra: tests
Provides-Extra: dependencies
