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Table of contents


DataHub frontend in Node.js.

Build Status

Quick Start

Clone the repo, install dependencies using yarn (or npm), and run the server:

# or npm install
yarn install
npm start

Env vars

We use .env file for loading environment variables. Please use the provided env.template as a template:

  • SITE_URL - FQ base URL of the site, e.g. https://datahub.io
  • API_URL - FQ base URL of the API endpoint, e.g. https://api.datahub.io
  • BITSTORE_URL - base URL for the bitstore (pkgstore) e.g. https://pkgstore.datahub.io

When running locally, use test api address in .env:

API_URL=https://api-testing.datahub.io
BITSTORE_URL=https://pkgstore-testing.datahub.io

See the docs for more information.

Developers

The JavaScript portion of the app, which is responsible for rendering views, comes from a different repo. That repo must be submoduled in and then built:

git submodule init && git submodule update

To build the CSS:

  1. Install sass

  2. Run:

    sass --watch public/sass:public/stylesheets

Now run the server:

export API_URL=https://api.datahub.io
export BITSTORE_URL=https://pkgstore.datahub.io
export dev=true
npm start

To run in watch mode:

# Note the -e which means we watch for changes in templates too
nodemon -e "js html" index.js

To run tests (make sure all environment variables are set):

yarn test

Analytics

We use Google Tag Manager to manage all tags (eg, google analytics, optimize and more) so instead of adding a new script into templates, you should consider editing via UI of Tag Manager.

Deployment

  1. When pushing any commit to the master branch, it triggers a build on the Deploy repo which then creates a pull request there.
  2. The changes in frontend are auto deployed to the staging site of DataHub, located at https://testing.datahub.io.
  3. Once the staging site looks as expected, deployment to production happens by merging the automatically created pull request from step 1.
  4. That's it! Just wait for about 5 minutes and you should be able to see the changes reflected on DataHub.io.