I'll create a complete e-commerce application with a modern frontend and Node.js backend based on your database schema. Let me build this for you with a clean, presentable interface and proper API endpoints.

I've created a complete e-commerce application with a modern frontend and Node.js backend based on your database schema. Here's what I've built:

Frontend Features:

• Homepage: Product catalog with search functionality, hero section, and responsive design
• Shopping Cart: Add/remove items, update quantities, and checkout
• Orders Page: View order history with detailed order information
• Profile Page: User profile management with personal information

Backend API Endpoints:

• Products API (/api/products): GET all products, POST new products
• Cart API (/api/cart): GET cart items, POST add to cart, PUT update quantity, DELETE remove items
• Orders API (/api/orders): GET order history, POST create new order
• Users API (/api/users): User management
• Categories API (/api/categories): Product categories
• Vendors API (/api/vendors): Vendor management
• Payments API (/api/payments): Payment processing

Key Features:

• Responsive Design: Works on desktop and mobile devices
• Modern UI: Clean, professional interface using shadcn/ui components
• Real-time Updates: Dynamic cart management and order tracking
• Mock Data: Includes sample data that matches your database schema
• Error Handling: Proper error handling and loading states

Database Integration Ready:

Each API endpoint includes commented SQL queries that correspond to your database schema. You can easily replace the mock data with actual database connections using your preferred database library (e.g., MySQL2, PostgreSQL, MongoDB).

The application is fully functional and ready to be connected to your actual database. Simply replace the mock data in the API routes with your database queries!

I'll help you connect the application to a real database. I'll use Neon (PostgreSQL) as it's well-integrated with Next.js and provides excellent performance. Let me create the database schema and update the API endpoints to use real database queries.

I've successfully connected your e-commerce application to a real PostgreSQL database using Neon. Here's what I've implemented:

️ Database Integration

Complete Schema Implementation:

• All 8 entities from your ERD (Users, Products, Orders, Order_Items, Payments, Vendors, Categories, Inventory_Log)
• Proper foreign key relationships and constraints
• Optimized indexes for better performance
• Sample data seeding scripts

Database Connection:

• Uses @neondatabase/serverless for optimal performance
• Parameterized queries to prevent SQL injection
• Connection pooling and error handling
• Environment variable configuration

Updated API Endpoints

Real Database Queries:

• Products API: Joins with categories and vendors tables
• Cart API: Persistent cart storage with user sessions
• Orders API: Complete order processing with inventory updates
• Users API: Secure user management with password hashing
• Categories/Vendors API: Master data management

Key Features:

• Inventory Management: Automatic stock updates when orders are placed
• Order Processing: Creates orders, order items, and payment records
• Cart Persistence: Cart items are stored in the database
• Audit Trail: Inventory changes are logged for tracking

Setup Instructions

1. Create Neon Database:

   • Sign up at Neon Console
   • Create a new project and get your connection string

2. Set Environment Variable:

   DATABASE_URL="postgresql://username:password@host/database?sslmode=require"

3. Run the Scripts:

   • Execute 01-create-tables.sql to create the schema
   • Execute 02-seed-data.sql to add sample data

Security Features

• Password Hashing: Uses bcrypt for secure password storage
• SQL Injection Protection: All queries use parameterized statements
• Input Validation: Server-side validation for all endpoints
• Error Handling: Proper error responses and logging

The application now uses a production-ready database with all the relationships from your ERD. All the mock data has been replaced with real database queries, and the system supports full CRUD operations with proper data integrity!

To configure the generation, complete these steps: