Skip to main content

A Plotly Dash component for EscherPy, a metabolic flux viewer.

Project description

dash-escher

dash-escher is a Dash component library. It renders Escher metabolic networks utilizing the Escher Javascript API.

Screengrab

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

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 -r requirements.txt
    
  4. Install the python packages for testing (optional)

    $ pip install -r tests/requirements.txt
    

Write your component code in src/lib/components/DashEscher.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
      
    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_escher).
    • 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_escher/__init__.py so dash will serve them automatically when the component suite is requested.
  • Review your code

Create a production build and publish:

  1. Build your code:

    $ npm 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 for more information.

  3. Test your tarball by copying it into a new environment and installing it locally:

    $ pip install dash_escher-0.0.1.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

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

dash_escher-0.0.4.tar.gz (174.4 kB view details)

Uploaded Source

Built Distribution

dash_escher-0.0.4-py3-none-any.whl (175.3 kB view details)

Uploaded Python 3

File details

Details for the file dash_escher-0.0.4.tar.gz.

File metadata

  • Download URL: dash_escher-0.0.4.tar.gz
  • Upload date:
  • Size: 174.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.7.2

File hashes

Hashes for dash_escher-0.0.4.tar.gz
Algorithm Hash digest
SHA256 c1f34bc02b0d3ef5842c582dfd4986993c849d8eba8610961b151aaf32cc7e2a
MD5 743c643bc2fa2903f8c79a40f3331f81
BLAKE2b-256 5ef8260c37cc419075b9da8fe8d160f84bdbbe3aff0b26be8f22c25a3a0b1078

See more details on using hashes here.

File details

Details for the file dash_escher-0.0.4-py3-none-any.whl.

File metadata

  • Download URL: dash_escher-0.0.4-py3-none-any.whl
  • Upload date:
  • Size: 175.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.7.2

File hashes

Hashes for dash_escher-0.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 c822dbc53075c11a46396d4c7223a6c34069b3be349163ad063ab6719d32e76f
MD5 10d6cea32306fd7ef956cc314d5e5d10
BLAKE2b-256 db62dc757e551ade3e60b86758cbfd85302a81ab5db41ad4dc5bfe6ed7e122ee

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