MMS (Message Management System)

A centralized platform for managing, tracking, and automating message distribution across different systems and teams in a data warehouse environment.

🎯 Purpose

MMS solves the challenge of scattered messaging scripts and undocumented communication processes by providing a unified platform for message management between upstream and downstream systems, as well as top-level reporting.

✨ Key Features

Message Management

• Centralized message creation and editing
• Template management system
• Rich text editor with markdown support
• File attachment capabilities
• Message scheduling and automation
• Version control for messages
• Draft and approval workflow

Routing & Distribution

• Multi-channel message delivery (Email, Slack, Teams, SMS)
• Configurable routing rules
• Recipient group management
• Priority levels and escalation
• Conditional delivery logic
• Bulk message handling

Monitoring & Analytics

• Real-time delivery tracking
• Message status dashboard
• Delivery confirmation system
• Error tracking and alerts
• Performance metrics
• Historical data analysis
• Custom reporting

Administration

• Role-based access control
• User management
• System configuration
• Integration management
• Audit logging
• Security settings

API & Integration

• RESTful API
• Webhook support
• Database connectors
• Platform integrations (Slack, Teams, etc.)
• Custom script integration
• Batch processing capabilities

🛠️ Tech Stack

• Frontend: React + TypeScript
• Backend: Go (Gin framework)
• Database: PostgreSQL
• Message Queue: RabbitMQ
• Caching: Redis
• Authentication: JWT
• Documentation: Swagger/OpenAPI

📁 Project Structure

mms/
├── client/                 # React frontend
│   ├── src/
│   ├── public/
│   └── tests/
├── server/                 # Go backend
│   ├── cmd/
│   │   └── api/           # Application entrypoint
│   ├── internal/
│   │   ├── handlers/      # HTTP handlers
│   │   ├── models/        # Data models
│   │   ├── repository/    # Database operations
│   │   ├── services/      # Business logic
│   │   └── middleware/    # HTTP middleware
│   ├── pkg/               # Shared packages
│   │   ├── config/
│   │   ├── logger/
│   │   └── utils/
│   └── tests/             # Integration tests
├── docs/                   # Documentation
└── scripts/               # Utility scripts

🚀 Getting Started

Prerequisites

• Go >= 1.21
• Node.js >= 18
• PostgreSQL >= 14
• RabbitMQ
• Redis

Installation

1. Clone the repository

git clone https://github.com/lemma-ai/mms.git
cd mms

2. Install dependencies

# Install frontend dependencies
cd client
npm install

# Install Go dependencies
cd ../server
go mod download

3. Configure environment

# Copy environment files
cp .env.example .env
# Add your configuration values

4. Initialize database

# Run migrations
go run cmd/migrate/main.go

5. Start development servers

# Start backend (from server directory)
go run cmd/api/main.go

# Start frontend (from client directory)
npm run dev

📝 API Documentation

API documentation is available at /swagger/index.html when running the server locally.

🔐 Security Features

• JWT-based authentication
• Role-based access control
• Input validation
• Rate limiting
• Request logging
• SSL/TLS encryption
• Data encryption at rest

🧪 Testing

# Run backend tests
cd server
go test ./...

# Run frontend tests
cd client
npm test

📈 Roadmap

• Message template system
• Advanced routing rules
• Bulk message processing
• Custom integration framework
• Advanced analytics dashboard
• Mobile application
• Message archiving system
• AI-powered message optimization

🤝 Contributing

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

📄 License

This project is licensed under the MIT License - see the LICENSE.md file for details.

🙏 Acknowledgments

• Data Warehouse team for project requirements
• Contributors and testers
• Open source community

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