Dash-Signature 0.1.10
Signature element for Dash sites in Python
License: MIT
Requires Python: <4.0,>=3.11

# How to set up

cd into this folder
create the python virtual environment
install depenedencies with `pip install -r requirements.txt`
install wheel with `pip install wheel`
install node dependencies with `yarn install`
build the css with `yarn run css`
build the node package with `yarn run build`
build the python package with `python setup.py sdist bdist_wheel`
update the dependencies of myijack in pyproject.toml to have this:
dash_signature = { path = "/workspace/dash_signature", develop = true }


# Dash-Signature

Dash-Signature is a Dash element for adding a signature field to a form.

None

Get started with:
1. Install Dash and its dependencies: https://dash.plotly.com/installation
2. Run `python usage.py`
3. Visit http://localhost:8050 in your web browser

## Contributing

See [CONTRIBUTING.md](./CONTRIBUTING.md)

### Install dependencies

Clone this code and open it in a Development container in VS Code, which will install Python 3, NodeJS, NPM, and Yarn.

1. Install npm packages with Yarn or NPM
    ```
    $ yarn install || npm install
    ```
2. Install Poetry packages for Python
    ```
    $ poetry install
    ```
3. Build the Dash custom component
    ```
    $ yarn run build
    ```

### Write your component code in `src/lib/components/Signature.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
        ```
        $ yarn run build
        ```
    2. Run and modify the `usage.py` sample dash app:
        ```
        $ python usage.py
        ```
- Write tests for your component.
    - A sample test is available in `tests/test_usage.py`, it will load `usage.py` 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. https://github.com/plotly/dash-core-components)
- Add custom styles to your component by putting your custom CSS files into your distribution folder (`dash_signature`).
    - 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 `dash_signature/__init__.py` so dash will serve them automatically when the component suite is requested.
- [Review your code](./review_checklist.md)

### Create a production build and publish:

1. Build your code:
    ```
    $ yarn run build
    ```
2. Create a Python distribution
    ```
    $ python setup.py sdist bdist_wheel
    ```
    This will create source and wheel distribution in the generated the `dist/` folder.
    See [PyPA](https://packaging.python.org/guides/distributing-packages-using-setuptools/#packaging-your-project)
    for more information.

3. Test your tarball by copying it into a new environment and installing it locally:
    ```
    $ pip install dash_signature-0.1.7.tar.gz
    ```

4. If it works, then you can publish the component to NPM and PyPI:
    1. Publish on PyPI
        ```
        $ twine upload dist/*
        ```
    2. Cleanup the dist folder (optional)
        ```
        $ rm -rf dist
        ```
    3. Publish on NPM (Optional if chosen False in `publish_on_npm`)
        ```
        $ npm publish
        ```
        _Publishing your component to NPM will make the JavaScript bundles available on the unpkg CDN. By default, Dash serves the component library's CSS and JS locally, but if you choose to publish the package to NPM you can set `serve_locally` to `False` and you may see faster load times._

5. Share your component with the community! https://community.plotly.com/c/dash
    1. Publish this repository to GitHub
    2. Tag your GitHub repository with the plotly-dash tag so that it appears here: https://github.com/topics/plotly-dash
    3. Create a post in the Dash community forum: https://community.plotly.com/c/dash