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A web frontend for the Chieftan task automation tool
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Chieftan Frontend

An Aurelia web application which consumes the Chieftan API for task automation

Getting Started

To get a development environment set up, you will need Node.js installed on your local machine. You can download it from here.

Once that's done, clone the Chieftan repository and run npm install to install the various dependencies required by Chieftan.


The development environment is built around WebPack with Hot Module Reloading enabled, allowing (near) realtime updates of both stylesheets and code (if it hasn't been run yet) without a page reload. You can start the development server by running npm run server:dev from the project folder and then accessing http://localhost:3002 in your browser.


Deployment involves building a production package of the application and then placing the contents of the dist folder on your server. To build the production package, simply run npm build and wait for WebPack to complete.

If you wish to enable Sentry error reporting for frontend errors, you should set the SENTRY_DSN environment variable to a public Sentry DSN. You may also tag the release version by setting the VERSION environment variable.

Example Build Script

SENTRY_DSN="" VERSION="$(git rev-parse HEAD)" npm run build

This build script will tag the release using the current Git SHA and configure Sentry error reporting.

Nice URLs

It is worth noting that, should you wish to make use of the HTML5 Push State API for nice URLs, you will need to configure your web server to serve the index.html file for all 404s.

With nginx this can easily be accomplished using the try_files directive.

Example NGINX Configuration

server {
  listen :80 default;

  root /var/www/chieftan/dist;

  # Serve the frontend
  location / {
    try_files $url $url.html index.html;

  # Pass API requests to the application instance (basic)
  location /api {

Docker Images

You may also deploy the Chieftan frontend using Docker, to build the image simply run npm build && docker build . to build a container image with the latest compiled application package.

This container is based on nginx:alpine, making it very lightweight, and will listen on port 3000 by default. You can follow the instructions on the NGINX Docker Image page to configure it differently, or place it behind a reverse proxy in production deployments.

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