cs-fedy / codeex-quiz-server

The quiz web application is designed for software engineers to practice and improve their skills. It offers a wide range of quizzes on various programming topics and technologies, including algorithms, data structures, and web development. The app also features an intelligent recommendation system that suggests quizzes based on the user's interests

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

codeex quiz - backend

codeex quiz platform backend system using Node.js, Nest.js, TypeScript and mongo db.

P.S: docker is required

installation

  1. Clone the repo git clone https://github.com/cs-fedy/codeex-quiz.git
  2. Change your current directory to the repo dir: cd codeex-quiz
  3. make a .env file having the key=value pairs shown below.
  4. Run sudo docker compose -f docker-compose.prod.yml up -d to start the db.
  5. If not working with node as a container then install yarn: np i -g yarn
  6. Install all the dependencies: yarn install - accessible in the api directory
  7. Run the system in a dev env: yarn run dev - accessible in the api directory

used tools

  1. Node.js: Node.js® is a JavaScript runtime built on Chrome's V8 JavaScript engine.
  2. Nest.js: A progressive Node.js framework for building efficient, reliable and scalable server-side applications.
  3. TypeScript: TypeScript is JavaScript with syntax for types.
  4. Mongodb: MongoDB is a document database with the scalability and flexibility that you want with the querying and indexing that you need.

.env key=value pairs

ENV=development
PORT=3001
MONGO_INITDB_ROOT_USERNAME=admin
MONGO_INITDB_ROOT_PASSWORD=admin
MONGODB_URL='mongodb://admin:admin@codeex-db:27017'
REDIS_PORT=6379
REDIS_HOST=codeex-cache
CLIENT_URL="http://localhost:5173"
BASE_URL="http://localhost:3001"
JWT_SECRET="A STROOOOOOOOOOOOOOOONG JWT secret"
JWT_ACCESS_EXPIRATION_MINUTES=30
JWT_REFRESH_EXPIRATION_DAYS=5

About

The quiz web application is designed for software engineers to practice and improve their skills. It offers a wide range of quizzes on various programming topics and technologies, including algorithms, data structures, and web development. The app also features an intelligent recommendation system that suggests quizzes based on the user's interests


Languages

Language:TypeScript 97.8%Language:Jupyter Notebook 1.8%Language:JavaScript 0.3%Language:Dockerfile 0.1%