Visitor Tracking API documentation

Project Overview

A lightweight, self-hosted visitor tracking solution using Python socket programming and MySQL, designed for small to medium-sized websites.

System Architecture

• Backend: Python socket server
• Database: MySQL
• Frontend Integration: JavaScript client

Key Components

1. Backend (Python Socket Server)

Features

• Raw socket programming without web frameworks
• Visitor count tracking
• Database connection pooling
• Secure request handling
• Multithreaded request processing

Key Classes

• VisitorTrackingServer: Main server implementation
• Methods:
  • create_database_table(): Initialize database schema
  • update_visitor_count(): Track page visits
  • get_visitor_count(): Retrieve visitor statistics
  • handle_request(): Process incoming HTTP requests

2. Database Schema

Tables

• visitors: Tracks page visit information
• users: Optional user management

Key Fields

• page_url: Tracked webpage URL
• visit_count: Number of visits
• last_visited: Timestamp of last visit
• created_at: Initial tracking timestamp

3. Frontend Integration

• JavaScript client for easy integration
• Methods:
  • updateVisitorCount(): Send visit data to backend
  • getVisitorCount(): Retrieve visitor statistics

Security Features

• URL validation
• Connection pooling
• Optional SSL support
• CORS headers
• Secure token generation
• Error handling

Installation Requirements

Backend

• Python 3.8+
• mysql-connector-python
• MySQL 8.0+

Frontend

• Modern web browser
• JavaScript ES6+

Configuration

1. Database Credentials
2. Server Host/Port
3. Optional SSL Configuration

Sample Usage

Backend Initialization

server = VisitorTrackingServer(
    host='localhost', 
    port=8000, 
    db_config={
        'host': 'localhost',
        'user': 'username',
        'password': 'password',
        'database': 'visitor_tracking_db'
    }
)
server.start_server()

Frontend Integration

const tracker = new VisitorTracker();
tracker.updateVisitorCount(window.location.href);

Deployment Considerations

• Use SSL for production
• Implement rate limiting
• Secure database credentials
• Regular database maintenance

Performance Optimizations

• Connection pooling
• Atomic database operations
• Indexing
• Multithreaded request handling

Scalability

• Supports multiple concurrent requests
• Easily extensible architecture
• Minimal resource consumption

Troubleshooting

• Check database connection
• Verify network permissions
• Monitor server logs
• Validate URL formats

Future Enhancements

• Advanced analytics
• More detailed geolocation tracking
• Authentication mechanisms
• Real-time dashboard

License

• This project is licensed under the Apache 2.0 License. See the license file for more details.