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multiroom-chat-goof

A purposely vulnerable, multiroom chat application with Java, Spring, WebSocket on the backend and Vue, Vuex, Nuxt.js on the frontend.

Overview

This project is based off the excellent work of kojotdev. Read more about it here.

The project is organized in such a way that it can easily be run locally and be deployed for demonstration.

NOTE: The project has known vulnerabilities in it for demonstration purposes. PLEASE do not attempt to use in any production environment.

multiroom-chatspring-vue-websocket-live-example

Run - local, separated

Launch the backend with:

mvn clean install
mvn spring-boot:run

The backend will launch on port 8080

Launch the frontend with:

cd src/frontend
npm install
npm run dev

The frontend will launch on port 3000

You can then browse to: http://localhost:3000

Any changes you make to the frontend will trigger an automatic re-build of the frontend.

Run - local, unified

When you run mvn clean install, in addition to building the Java code, it performs the following for the frontend app:

  • builds the nuxt app
  • generates a static version of the nuxt app
  • copies the static frontend into src/main/resources/public

The last step is what enables the frontend app to be served by the spring boot app.

You can run the spring boot app as before:

mvn spring-boot:run

Now, you can access the frontend at: http://localhost:8080 and it will automatically connect with backend.

Run - remote, unified

The combination of the Procfile and system.properties files makes the app easily deployable to Heroku.

NOTE: In order for the frontend to properly connect to the backend, you'll need to set an environment variable called: BASE_URL.

Do the following to deploy to heroku using the cli too:

heroku apps:create my-great-app
heroku config:set BASE_URL=https://my-great-app.herokuapp.com
git push heroku main

This will push the code to heroku and run the unified build process. Once complete, you can access the app at the name you gave it (ex: https://my-great-app.herokuapp.com)

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  • Java 39.9%
  • Vue 33.5%
  • JavaScript 14.4%
  • Groovy 11.7%
  • Other 0.5%