Tsmart - Personalized Education and E-Learning Microservice App

Table of Contents

• Introduction
• Features
• Installation
• Usage
• API Documentation
• Contributing
• License

Introduction

Tsmart is a Personalized Education and E-Learning microservice app that empowers educational institutions and online learning platforms to deliver personalized content and learning experiences to their users. The app provides a set of microservices that enable seamless integration of personalized learning features into existing educational platforms.

Features

• Personalized Learning Paths: Tsmart offers dynamic learning paths tailored to each student's individual needs and learning pace.
• Content Recommendation: Utilize machine learning algorithms to recommend relevant and engaging learning materials based on the student's preferences and progress.
• Progress Tracking: Easily monitor students' learning progress, identify knowledge gaps, and provide targeted support.
• Interactive Assessments: Create interactive quizzes and assessments to assess students' understanding and knowledge retention.
• Multi-platform Support: Tsmart is designed to work across various platforms, including web browsers, Android, and iOS.
• Scalable Architecture: The microservice architecture ensures scalability and flexibility to handle large-scale e-learning platforms.

Installation

To install and use Tsmart, follow these steps:

1. Clone the repository: git clone https://github.com/tsmart-app/tsmart.git
2. Install dependencies: npm install
3. Configure the environment variables: Copy .env.example to .env and set the necessary configuration parameters.
4. Start the microservices: npm start

Usage

Tsmart provides a RESTful API for communication with the microservices. Here's a basic example of how to use Tsmart in your application:

import axios from 'axios';

const baseURL = 'https://api.tsmart.com';

// Example API call to get personalized content recommendations
async function getRecommendations(studentId) {
  try {
    const response = await axios.get(`${baseURL}/recommendations/${studentId}`);
    return response.data;
  } catch (error) {
    console.error('Error fetching recommendations:', error);
    throw error;
  }
}

For more detailed usage instructions and API endpoints, please refer to the API Documentation.

API Documentation

For detailed information on the available API endpoints and their usage, please refer to the API documentation.

Contributing

We welcome contributions from the community! To contribute to Tsmart, follow these steps:

1. Fork the repository.
2. Create a new branch for your feature: git checkout -b feature-name
3. Commit your changes: git commit -m "Add feature"
4. Push to the branch: git push origin feature-name
5. Submit a pull request.

Please ensure that you've read and adhered to our Code of Conduct before contributing.

License

Tsmart is open-source software licensed under the MIT License.

Deployment

Tsmart can be deployed on a cloud service or on-premises server. For easy scalability and maintenance, we recommend using a cloud-based solution like AWS, Google Cloud, or Azure. You can deploy the microservices using containerization technologies like Docker and Kubernetes.

Before deploying to a production environment, ensure that you have configured the necessary environment variables with appropriate values, such as API keys, database connection strings, and other sensitive information.

Technology Stack

Tsmart is built using modern technologies and frameworks to ensure optimal performance and maintainability. The main components of our tech stack include:

• Node.js: The backend is powered by Node.js, which provides a scalable and efficient runtime environment for building server-side applications.
• Express.js: We use Express.js as the web application framework to handle routing, middleware, and API endpoints.
• MongoDB: Tsmart utilizes MongoDB as the NoSQL database for storing student progress, content metadata, and user preferences.
• Machine Learning: To enable personalized content recommendations, we leverage machine learning algorithms and data analysis techniques.
• React: The frontend, if applicable, is developed using React, a popular JavaScript library for building user interfaces.
• Redux: If required, we use Redux for state management, ensuring a predictable and scalable application state.

Testing

Tsmart includes a comprehensive test suite to ensure the reliability and functionality of the microservices. We employ unit testing, integration testing, and end-to-end testing to validate the app's behavior.

To run the tests, use the following command:

npm test

We encourage contributors to write tests for new features and bug fixes to maintain code quality and prevent regressions.

Security

Security is a top priority at Tsmart. We implement various security measures, including data encryption, input validation, and role-based access control, to safeguard user data and ensure a secure learning environment.

As part of our commitment to security, we conduct regular security audits and follow best practices in the industry to address potential vulnerabilities proactively.

Support and Community

For any questions, feedback, or support inquiries, join our community on our Discord server or visit our website for additional resources and documentation.

You can also report bugs or request new features through our GitHub repository. We value your feedback, and our team actively monitors the repository.

Acknowledgments

We would like to express our appreciation to the open-source community for their valuable contributions and inspiring projects that have influenced the development of Tsmart.

About Tsmart

Tsmart was founded in 2023 with a mission to revolutionize personalized education and provide learners with tailored learning experiences. Our team is dedicated to leveraging cutting-edge technologies to shape the future of e-learning.

Connect with us:

• Website: https://tsmart.com
• Twitter: @TsmartHQ
• LinkedIn: Tsmart

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Feel free to continue customizing the README file to provide more specific information about your app's features, development process, and any other relevant details. If you have any other specific requests or need further assistance, let me know! I'm here to help. Best of luck with your Tsmart project!

Project Structure

Node is required for generation and recommended for development. package.json is always generated for a better development experience with prettier, commit hooks, scripts and so on.

In the project root, JHipster generates configuration files for tools like git, prettier, eslint, husky, and others that are well known and you can find references in the web.

/src/* structure follows default Java structure.

• .yo-rc.json - Yeoman configuration file JHipster configuration is stored in this file at generator-jhipster key. You may find generator-jhipster-* for specific blueprints configuration.

• .yo-resolve (optional) - Yeoman conflict resolver Allows to use a specific action when conflicts are found skipping prompts for files that matches a pattern. Each line should match [pattern] [action] with pattern been a Minimatch pattern and action been one of skip (default if ommited) or force. Lines starting with # are considered comments and are ignored.

• .jhipster/*.json - JHipster entity configuration files

• npmw - wrapper to use locally installed npm. JHipster installs Node and npm locally using the build tool by default. This wrapper makes sure npm is installed locally and uses it avoiding some differences different versions can cause. By using ./npmw instead of the traditional npm you can configure a Node-less environment to develop or test your application.

• /src/main/docker - Docker configurations for the application and services that the application depends on

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.

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.

Developing Microfrontend

Microservices doesn't contain every required backend feature to allow microfrontends to run alone. You must start a pre-built gateway version or from source.

Start gateway from source:

cd gateway
npm run docker:db:up # start database if necessary
npm run docker:others:up # start service discovery and authentication service if necessary
npm run app:start # alias for ./(mvnw|gradlew)

Microfrontend's build-watch script is configured to watch and compile microfrontend's sources and synchronizes with gateway's frontend. Start it using:

cd microfrontend
npm run docker:db:up # start database if necessary
npm run build-watch

It's possible to run microfrontend's frontend standalone using:

cd microfrontend
npm run docker:db:up # start database if necessary
npm watch # alias for `npm start` and `npm run backend:start` in parallel

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

JHipster Control Center

JHipster Control Center can help you manage and control your application(s). You can start a local control center server (accessible on http://localhost:7419) with:

docker compose -f src/main/docker/jhipster-control-center.yml up

OAuth 2.0 / OpenID Connect

Congratulations! You've selected an excellent way to secure your JHipster application. If you're not sure what OAuth and OpenID Connect (OIDC) are, please see What the Heck is OAuth?

To log in to your app, you'll need to have Keycloak up and running. The JHipster Team has created a Docker container for you that has the default users and roles. Start Keycloak using the following command.

docker compose -f src/main/docker/keycloak.yml up

The security settings in src/main/resources/config/application.yml are configured for this image.

spring:
  ...
  security:
    oauth2:
      client:
        provider:
          oidc:
            issuer-uri: http://localhost:9080/realms/jhipster
        registration:
          oidc:
            client-id: web_app
            client-secret: web_app
            scope: openid,profile,email

Some of Keycloak configuration is now done in build time and the other part before running the app, here is the list of all build and configuration options.

Before moving to production, please make sure to follow this guide for better security and performance.

Also, you should never use start-dev nor KC_DB=dev-file in production.

When using Kubernetes, importing should be done using init-containers (with a volume when using db=dev-file).

Okta

If you'd like to use Okta instead of Keycloak, it's pretty quick using the Okta CLI. After you've installed it, run:

okta register

Then, in your JHipster app's directory, run okta apps create and select JHipster. This will set up an Okta app for you, create ROLE_ADMIN and ROLE_USER groups, create a .okta.env file with your Okta settings, and configure a groups claim in your ID token.

Run source .okta.env and start your app with Maven or Gradle. You should be able to sign in with the credentials you registered with.

If you're on Windows, you should install WSL so the source command will work.

If you'd like to configure things manually through the Okta developer console, see the instructions below.

First, you'll need to create a free developer account at https://developer.okta.com/signup/. After doing so, you'll get your own Okta domain, that has a name like https://dev-123456.okta.com.

Modify src/main/resources/config/application.yml to use your Okta settings.

spring:
  ...
  security:
    oauth2:
      client:
        provider:
          oidc:
            issuer-uri: https://{yourOktaDomain}/oauth2/default
        registration:
          oidc:
            client-id: {clientId}
            client-secret: {clientSecret}
security:

Create an OIDC App in Okta to get a {clientId} and {clientSecret}. To do this, log in to your Okta Developer account and navigate to Applications > Add Application. Click Web and click the Next button. Give the app a name you’ll remember, specify http://localhost:8080 as a Base URI, and http://localhost:8080/login/oauth2/code/oidc as a Login Redirect URI. Click Done, then Edit and add http://localhost:8080 as a Logout redirect URI. Copy and paste the client ID and secret into your application.yml file.

Create a ROLE_ADMIN and ROLE_USER group and add users into them. Modify e2e tests to use this account when running integration tests. You'll need to change credentials in src/test/javascript/e2e/account/account.spec.ts and src/test/javascript/e2e/admin/administration.spec.ts.

Navigate to API > Authorization Servers, click the Authorization Servers tab and edit the default one. Click the Claims tab and Add Claim. Name it "groups", and include it in the ID Token. Set the value type to "Groups" and set the filter to be a Regex of .*.

After making these changes, you should be good to go! If you have any issues, please post them to Stack Overflow. Make sure to tag your question with "jhipster" and "okta".

Auth0

If you'd like to use Auth0 instead of Keycloak, follow the configuration steps below:

• Create a free developer account at https://auth0.com/signup. After successful sign-up, your account will be associated with a unique domain like dev-xxx.us.auth0.com
• Create a new application of type Regular Web Applications. Switch to the Settings tab, and configure your application settings like:
  • Allowed Callback URLs: http://localhost:8080/login/oauth2/code/oidc
  • Allowed Logout URLs: http://localhost:8080/
• Navigate to User Management > Roles and create new roles named ROLE_ADMIN, and ROLE_USER.
• Navigate to User Management > Users and create a new user account. Click on the Role tab to assign roles to the newly created user account.
• Navigate to Auth Pipeline > Rules and create a new Rule. Choose Empty rule template. Provide a meaningful name like JHipster claims and replace Script content with the following and Save.

function (user, context, callback) {
  user.preferred_username = user.email;
  const roles = (context.authorization || {}).roles;

  function prepareCustomClaimKey(claim) {
    return `https://www.jhipster.tech/${claim}`;
  }

  const rolesClaim = prepareCustomClaimKey('roles');

  if (context.idToken) {
    context.idToken[rolesClaim] = roles;
  }

  if (context.accessToken) {
    context.accessToken[rolesClaim] = roles;
  }

  callback(null, user, context);
}

• In your JHipster application, modify src/main/resources/config/application.yml to use your Auth0 application settings:

spring:
  ...
  security:
    oauth2:
      client:
        provider:
          oidc:
            # make sure to include the ending slash!
            issuer-uri: https://{your-auth0-domain}/
        registration:
          oidc:
            client-id: {clientId}
            client-secret: {clientSecret}
            scope: openid,profile,email
jhipster:
  ...
  security:
    oauth2:
      audience:
        - https://{your-auth0-domain}/api/v2/

Doing API-First development using openapi-generator-cli

OpenAPI-Generator is configured for this application. You can generate API code from the src/main/resources/swagger/api.yml definition file by running:

./mvnw generate-sources

Then implements the generated delegate classes with @Service classes.

To edit the api.yml definition file, you can use a tool such as Swagger-Editor. Start a local instance of the swagger-editor using docker by running: docker compose -f src/main/docker/swagger-editor.yml up -d. The editor will then be reachable at http://localhost:7742.

Refer to Doing API-First development for more details.

Building for production

Packaging as jar

To build the final jar and optimize the Tsmart 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:8081 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

Other tests

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

You can execute all Gatling tests with

./mvnw gatling:test

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 forced authentication redirect for UI 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 -Dsonar.login=admin -Dsonar.password=admin

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 -Dsonar.login=admin -Dsonar.password=admin

Additionally, Instead of passing sonar.password and sonar.login as CLI arguments, these parameters can be configured from sonar-project.properties as shown below:

sonar.login=admin
sonar.password=admin

For more information, refer to the Code quality page.

Using Docker to simplify development (optional)

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:

npm run java:docker

Or build a arm64 docker image when using an arm64 processor os like MacOS with M1 processor family running:

npm run java:docker:arm64

Then run:

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

When running Docker Desktop on MacOS Big Sur or later, consider enabling experimental Use the new Virtualization framework for better processing performance (disk access performance is worse).

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 (optional)

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. Consult the Setting up Continuous Integration page for more information.

Tsmart by KOSASIH is licensed under Attribution 4.0 International