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Regional Payment Accelerator

Regional Payment Accelerator is a web-based solution that optimizes online payment processing for different regions. It integrates Stripe for secure transactions, GeoIP detection for regional adaptation, and analytics to monitor transaction performance and latency. This project aims to simplify global payment handling with localized enhancements.


Features

  • Stripe Integration: Secure payment handling with Stripe's SDK.
  • GeoIP Detection: Automatically detects user location and tailors payment options (e.g., local currencies).
  • Regional Optimization: Faster transactions with reduced latency for specific regions.
  • Analytics Dashboard: Visualize transaction data, latency metrics, and regional insights.
  • Server-Side Rendering (SSR): Uses EJS templates for rendering analytics and payment pages.
  • Extensible Codebase: Modular structure for easy integration with additional payment providers or analytics tools.

Project Structure

regional-payment-accelerator/
│
├── public/                         # Static assets (HTML, CSS, JS)
├── src/                            # Main application code
│   ├── config/                     # Configuration files (e.g., Stripe, GeoIP)
│   ├── controllers/                # Business logic for routes
│   ├── routes/                     # Express.js route definitions
│   ├── services/                   # Integrations with external services
│   ├── utils/                      # Utility functions (e.g., logging, error handling)
│   ├── views/                      # Server-rendered templates (EJS)
│   ├── app.js                      # Express application initialization
│   └── server.js                   # Main server entry point
├── tests/                          # Unit and integration tests
├── .env                            # Environment variables
├── package.json                    # Project metadata and dependencies
└── README.md                       # Project documentation

Technologies Used


Getting Started

Prerequisites

  • Node.js (v16 or above)
  • npm (bundled with Node.js)
  • Stripe account (Sign up for free)
  • GeoIP service account (e.g., MaxMind, IPStack)

Installation

  1. Clone the repository:

    git clone https://github.com/pawvan/stripe_regional_payment_accelerator.git cd stripe_regional_payment_accelerator

  2. Install dependencies:

    npm install

  3. Create a .env file in the root directory and add:

    PORT=3000 STRIPE_SECRET_KEY=your_stripe_secret_key GEOIP_API_URL=https://api.geoip.com GEOIP_API_KEY=your_geoip_api_key

    
    
  4. Start the server:

    npm run dev

  5. Open the app in your browser at http://localhost:3000.


API Endpoints

Payment API

  • POST /api/payments/intent
    • Description: Creates a new payment intent.
    • Payload:
      {
        "amount": 1000,
        "currency": "usd",
        "paymentMethodType": "card"
      }
    • Response:
      {
        "clientSecret": "pi_12345_secret_67890"
      }

GeoIP API

  • GET /api/geoip/detect
    • Description: Detects the user's region based on their IP.
    • Response:
      {
        "country": "United States",
        "region": "California",
        "currency": "USD"
      }

Analytics API

  • GET /api/dashboard/
    • Description: Fetches analytics data for transactions.

Testing

  1. Run unit and integration tests:

    npm test
  2. Example tests are available under tests/:

    • Unit Tests: tests/unit/
    • Integration Tests: tests/integration/

Future Enhancements

  • Add support for more payment gateways (e.g., PayPal, Square).
  • Implement a React or Vue.js frontend for improved interactivity.
  • Add real-time latency monitoring using WebSockets.
  • Enable email notifications for payment events.

Contributing

We welcome contributions! Here's how you can help:

  1. Fork the repository.
  2. Create a feature branch (git checkout -b feature/your-feature).
  3. Commit your changes (git commit -m "Add new feature").
  4. Push the branch (git push origin feature/your-feature).
  5. Open a pull request.

License

This project is licensed under the MIT License.


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