Vaishnavi Creation - E-commerce Backend API

A comprehensive e-commerce backend API built with Node.js, Express, PostgreSQL, and MongoDB, designed for fashion and wardrobe management with AI-powered features.

🚀 Tech Stack

• Backend: Node.js 18+, Express.js
• Databases:
  • PostgreSQL (transactional data) with Prisma ORM
  • MongoDB (flexible product/wardrobe documents) with Mongoose
• Caching & Jobs: Redis with BullMQ
• File Storage: AWS S3
• Authentication: JWT with bcrypt
• Containerization: Docker
• CI/CD: GitHub Actions

📁 Project Structure

vaishnavi-backend/
├── src/
│   ├── config/          # Database and app configuration
│   ├── controllers/     # Route controllers
│   ├── middleware/      # Custom middleware (auth, error handling)
│   ├── models/          # Database models
│   │   └── mongodb/     # MongoDB models (Product, Wardrobe)
│   ├── routes/          # API routes
│   ├── services/        # Business logic services
│   ├── jobs/            # Background job processors
│   ├── utils/           # Utility functions
│   ├── types/           # TypeScript type definitions
│   └── server.js        # Application entry point
├── prisma/              # Prisma schema and migrations
├── tests/               # Test files
└── package.json

🛠️ Setup & Installation

Prerequisites

• Node.js 18+
• PostgreSQL 15+ (running locally)
• MongoDB 7+ (running locally)
• Redis 7+ (optional, for caching and job queues)

1. Clone and Install Dependencies

git clone <repository-url>
cd vaishnavi-backend
npm install

2. Environment Configuration

Copy the environment template and configure your variables:

cp .env.example .env

Edit .env with your local database configuration:

# Database URLs - Update with your local credentials
DATABASE_URL="postgresql://postgres:yourpassword@localhost:5432/vaishnavi_db"
MONGODB_URI="mongodb://localhost:27017/vaishnavi_products"
REDIS_URL="redis://localhost:6379"

# JWT Secrets - Change these in production!
JWT_SECRET="your-super-secret-jwt-key"
JWT_REFRESH_SECRET="your-super-secret-refresh-key"

# AWS S3 Configuration (Optional)
AWS_ACCESS_KEY_ID="your-aws-access-key"
AWS_SECRET_ACCESS_KEY="your-aws-secret-key"
AWS_S3_BUCKET="vaishnavi-files"

3. Database Setup

PostgreSQL Setup

1. Create the database:

-- Connect to PostgreSQL and create the database
CREATE DATABASE vaishnavi_db;

2. Generate Prisma client and run migrations:

# Generate Prisma client
npm run db:generate

# Run migrations to create tables
npm run db:migrate

# Seed database with sample data
npm run db:seed

MongoDB Setup

MongoDB will automatically create collections when first accessed. Make sure your MongoDB service is running on the default port (27017).

Redis Setup (Optional)

If you have Redis installed locally, make sure it's running on port 6379. If not, you can comment out the Redis URL in your .env file.

4. Start Development Server

npm run dev

The API will be available at http://localhost:3000

🔧 Troubleshooting

Database Connection Issues

1. PostgreSQL Connection Error:

   • Ensure PostgreSQL is running: sudo systemctl start postgresql (Linux) or start PostgreSQL service (Windows)
   • Check your connection string in .env
   • Verify the database exists: psql -U postgres -c "CREATE DATABASE vaishnavi_db;"

2. MongoDB Connection Error:

   • Ensure MongoDB is running: sudo systemctl start mongod (Linux) or start MongoDB service (Windows)
   • Check if MongoDB is listening on port 27017: netstat -an | grep 27017

3. Redis Connection Error (Optional):

   • If you don't have Redis installed, you can comment out the REDIS_URL in your .env file
   • The application will work without Redis, but caching and background jobs won't be available

📚 API Endpoints

Authentication

• POST /api/auth/register - User registration
• POST /api/auth/login - User login
• POST /api/auth/refresh - Refresh JWT token
• POST /api/auth/logout - User logout
• GET /api/auth/me - Get current user profile

Users

• GET /api/users/profile - Get user profile
• PUT /api/users/profile - Update user profile
• GET /api/users/addresses - Get user addresses
• POST /api/users/addresses - Add address
• GET /api/users/orders - Get user orders
• GET /api/users/wishlist - Get user wishlist

Products

• GET /api/products - Get all products (with filters)
• GET /api/products/:slug - Get single product
• POST /api/products - Create product (Admin)
• PUT /api/products/:id - Update product (Admin)
• DELETE /api/products/:id - Delete product (Admin)

Orders

• POST /api/orders - Create new order
• GET /api/orders - Get user orders
• GET /api/orders/:id - Get single order
• PUT /api/orders/:id/cancel - Cancel order

Wardrobe

• GET /api/wardrobe - Get user's wardrobe
• POST /api/wardrobe/items - Add item to wardrobe
• PUT /api/wardrobe/items/:id - Update wardrobe item
• DELETE /api/wardrobe/items/:id - Remove wardrobe item
• GET /api/wardrobe/recommendations - Get outfit recommendations

Admin

• GET /api/admin/dashboard - Dashboard statistics
• GET /api/admin/users - Manage users
• GET /api/admin/orders - Manage orders
• GET /api/admin/products - Manage products
• GET /api/admin/categories - Manage categories
• GET /api/admin/coupons - Manage coupons

🔐 Authentication

The API uses JWT-based authentication. Include the token in the Authorization header:

Authorization: Bearer <your-jwt-token>

User Roles

• CUSTOMER - Default role for registered users
• ADMIN - Full access to all endpoints
• MODERATOR - Limited admin access
• SELLER - Can manage their own products

🗄️ Database Schema

PostgreSQL (Prisma)

• Users & Authentication
• Orders & Transactions
• Addresses
• Reviews & Ratings
• Wishlist & Cart
• Categories & Coupons
• System Configuration

MongoDB (Mongoose)

• Products (flexible schema for variants, images, AI tags)
• Wardrobe (user clothing collections with AI analysis)

🚀 Deployment

Environment Variables for Production

Ensure all production environment variables are set:

• Database URLs (production databases)
• JWT secrets (strong, unique values)
• AWS credentials
• Email/SMS service credentials

Deployment Options

You can deploy this application to various platforms:

• Heroku: Use the Procfile and configure environment variables
• AWS EC2: Set up Node.js environment and configure databases
• DigitalOcean App Platform: Connect your repository and configure environment variables
• Railway: Connect your GitHub repository for automatic deployments
• Vercel: For serverless deployment (with some modifications)

🧪 Testing

# Run tests
npm test

# Run tests in watch mode
npm run test:watch

# Generate coverage report
npm run test:coverage

📝 Scripts

• npm start - Start production server
• npm run dev - Start development server with nodemon
• npm run build - Generate Prisma client
• npm run lint - Run ESLint
• npm run format - Format code with Prettier
• npm run db:studio - Open Prisma Studio
• npm run db:migrate - Run database migrations

🔄 Background Jobs

The application uses BullMQ with Redis for processing:

• AI image tagging for wardrobe items
• Email notifications
• Image processing and optimization
• Recommendation engine updates

📊 Monitoring & Logging

• Health check endpoint: GET /health
• Structured logging with Morgan
• Error tracking and reporting
• Database connection monitoring

🤝 Contributing

1. Fork the repository
2. Create a feature branch: git checkout -b feature/amazing-feature
3. Commit changes: git commit -m 'Add amazing feature'
4. Push to branch: git push origin feature/amazing-feature
5. Open a Pull Request

📄 License

This project is licensed under the ISC License.

🆘 Support

For support and questions:

• Create an issue in the repository
• Check the API documentation at /api/docs
• Review the health check at /health

---

Built with ❤️ for Vaishnavi Creation