TwentyOnePoints

This repository contains the code for the degree project in II142X, which is a modern web application used for determining the effect of using JHipster development platform for teaching in the course II1302.

The project is built using Angular JS as the frontend framework, which focuses on the Model-Module-Component-Service-View paradigm. Spring Boot is used as the backend framework for the server, which in turn uses CRUD REST APIs to handle HTTP requests/responses from the frontend. PostgreSQL is used as the database type for handling client data and integration of the database in this project.

This application was generated using JHipster 7.0.1, you can find documentation and help at https://www.jhipster.tech/documentation-archive/v7.0.1.

Development

Before you can build this project, you must install and configure the following dependencies on your machine:

1. Node.js: We use Node to run a development web server and build the project. Depending on your system, you can install Node either from source or as a pre-packaged bundle.

After installing Node, you should be able to run the following command to install development tools. You will only need to run this command when dependencies change in package.json.

npm install

We use npm scripts and Angular CLI with Webpack as our build system.

Run the following commands in two separate terminals to create a blissful development experience where your browser auto-refreshes when files change on your hard drive.

./mvnw
npm start

Npm is also used to manage CSS and JavaScript dependencies used in this application. You can upgrade dependencies by specifying a newer version in package.json. You can also run npm update and npm install to manage dependencies. Add the help flag on any command to see how you can use it. For example, npm help update.

The npm run command will list all of the scripts available to run for this project.

Deployment (Google Cloud Platform)

The web application is deplyoed on a Google Cloud platform (GCP) on Google App Engine (GAE) using Cloud SDK inside a terminal of MacOS. The commands used to connect the web application to Cloud SQL instance and then deploy the current version of the web application to GAE are:

To connect to cloud SQL:

jhipster gae

To deploy to GAE:

./mvnw package appengine:deploy -DskipTests -Pgae,prod,prod-gae

When the web application is deployed it can be viewed on the GCP webpage; https://twenty-one-points-dot-jhipsterangularspringbootapp.ey.r.appspot.com/ for as long as the GCP services are actively running and are enabled. The webpage won't be active once the Cloud services are disabled from the GCP project.

Cloud IoT device Connection

The management of Cloud IoT Core and Cloud PubSub API is handled accordingly by creating a device registry and connecting a simulated device to it as well as creating a topic and a subsription for the created simulated IoT device. The SQL query to Cloud postgreSQL database is handled by Cloud Function method which is triggered once the device sends a sensor data, but since the IoT device is simulated the quality and functionality of the Cloud Function method is tested manually by selecting the "TEST THE FUNCTION" button inside the Cloud Function navigation page in the created and deployed function/method page.

PWA Support

JHipster ships with PWA (Progressive Web App) support, and it's turned off by default. One of the main components of a PWA is a service worker.

The service worker initialization code is disabled by default. To enable it, uncomment the following code in src/main/webapp/app/app.module.ts:

ServiceWorkerModule.register('ngsw-worker.js', { enabled: false }),

Managing dependencies

For example, to add Leaflet library as a runtime dependency of your application, you would run following command:

npm install --save --save-exact leaflet

To benefit from TypeScript type definitions from DefinitelyTyped repository in development, you would run following command:

npm install --save-dev --save-exact @types/leaflet

Then you would import the JS and CSS files specified in library's installation instructions so that Webpack knows about them: Edit src/main/webapp/app/app.module.ts file:

import 'leaflet/dist/leaflet.js';

Edit src/main/webapp/content/scss/vendor.scss file:

@import '~leaflet/dist/leaflet.css';

Note: There are still a few other things remaining to do for Leaflet that we won't detail here.

For further instructions on how to develop with JHipster, have a look at Using JHipster in development.

Using Angular CLI

You can also use Angular CLI to generate some custom client code.

For example, the following command:

ng generate component my-component

will generate few files:

create src/main/webapp/app/my-component/my-component.component.html
create src/main/webapp/app/my-component/my-component.component.ts
update src/main/webapp/app/app.module.ts

Building for production

Packaging as jar

To build the final jar and optimize the TwentyOnePoints application for production, run:

./mvnw -Pprod clean verify

This will concatenate and minify the client CSS and JavaScript files. It will also modify index.html so it references these new files. To ensure everything worked, run:

java -jar target/*.jar

Then navigate to http://localhost:8080 in your browser.

Refer to Using JHipster in production for more details.

Packaging as war

To package your application as a war in order to deploy it to an application server, run:

./mvnw -Pprod,war clean verify

Testing

To launch your application's tests, run:

./mvnw verify

Client tests

Unit tests are run by Jest. They're located in src/test/javascript/ and can be run with:

npm test

UI end-to-end tests are powered by Protractor, which is built on top of WebDriverJS. They're located in src/test/javascript/e2e and can be run by starting Spring Boot in one terminal (./mvnw spring-boot:run) and running the tests (npm run e2e) in a second one.

Other tests

Performance tests are run by Gatling and written in Scala. They're located in src/test/gatling.

To use those tests, you must install Gatling from https://gatling.io/.

For more information, refer to the Running tests page.

Code quality

Sonar is used to analyse code quality. You can start a local Sonar server (accessible on http://localhost:9001) with:

docker-compose -f src/main/docker/sonar.yml up -d

Note: we have turned off authentication in src/main/docker/sonar.yml for out of the box experience while trying out SonarQube, for real use cases turn it back on.

You can run a Sonar analysis with using the sonar-scanner or by using the maven plugin.

Then, run a Sonar analysis:

./mvnw -Pprod clean verify sonar:sonar

If you need to re-run the Sonar phase, please be sure to specify at least the initialize phase since Sonar properties are loaded from the sonar-project.properties file.

./mvnw initialize sonar:sonar

For more information, refer to the Code quality page.

Using Docker to simplify local development

You can use Docker to improve your JHipster development experience. A number of docker-compose configuration are available in the src/main/docker folder to launch required third party services.

For example, to start a postgresql database in a docker container, run:

docker-compose -f src/main/docker/postgresql.yml up -d

To stop it and remove the container, run:

docker-compose -f src/main/docker/postgresql.yml down

You can also fully dockerize your application and all the services that it depends on. To achieve this, first build a docker image of your app by running:

./mvnw -Pprod verify jib:dockerBuild

Then run:

docker-compose -f src/main/docker/app.yml up -d

For more information refer to Using Docker and Docker-Compose, this page also contains information on the docker-compose sub-generator (jhipster docker-compose), which is able to generate docker configurations for one or several JHipster applications.

Continuous Integration (GitHub Actions)

To configure CI for your project, run the ci-cd sub-generator (jhipster ci-cd), this will let you generate configuration files for a number of Continuous Integration systems.

CI/CD integration in the web application is sub-generated to use GitHub Actions. The tasks used on GitHub are manually configured and edited inside the GitHub Actions workflow directory. The configuration files are defined as *.yml files inside the .github/workflows/ directory in the project.

Consult the Setting up Continuous Integration page for more information.