synapseconnect-tao

SynapseConnect TAO

An advanced AI-powered connectivity platform that enables seamless integration and orchestration of various systems, devices, and AI services.

🚀 Features

• Modular Architecture: Core system with pluggable modules for different functionalities
• AI Integration: Built-in support for advanced AI processing capabilities
• Real-time Dashboard: Modern web interface for monitoring and control
• Configuration Management: Environment-aware configuration system
• Comprehensive Logging: Multi-level logging with proper filtering
• Testing & Quality: Comprehensive test suite with coverage reporting

📋 Project Structure

synapseconnect-tao/
├── src/                    # Main application source code
│   ├── core/              # Core system components
│   ├── config/            # Configuration management
│   ├── utils/             # Utility functions
│   └── index.js           # Application entry point
├── dashboard/             # Web dashboard application
│   ├── src/               # Dashboard source code
│   ├── public/            # Static assets
│   └── dist/              # Built dashboard (generated)
├── tests/                 # Test files
└── coverage/              # Test coverage reports (generated)

🛠️ Installation & Setup

Prerequisites

• Node.js 20.0.0 or higher
• npm package manager

Installation

1. Clone the repository

   git clone https://github.com/asshat1981ar/synapseconnect-tao.git
   cd synapseconnect-tao
   

2. Install main application dependencies

   npm install
   

3. Install dashboard dependencies

   cd dashboard
   npm install
   cd ..
   

🏃‍♂️ Running the Application

Main Application

# Start the application
npm start

# Development mode with auto-restart
npm run dev

# Run tests
npm test

# Run tests with coverage
npm run test:coverage

# Lint code
npm run lint

# Fix linting issues
npm run lint:fix

Dashboard

cd dashboard

# Development server
npm run dev

# Build for production
npm run build

# Preview production build
npm run preview

🧪 Development & Testing

The project includes comprehensive testing and quality assurance:

• Unit Tests: Jest-based testing with ES modules support
• Code Coverage: Detailed coverage reporting (target: >50%)
• Linting: ESLint with modern JavaScript standards
• CI/CD: GitHub Actions workflow for automated testing and deployment

Test Coverage

Current test coverage:

• Statements: 67.1%
• Branches: 58.82%
• Functions: 83.33%
• Lines: 67.1%

🏗️ Architecture

Core Components

• SynapseCore: Main system controller and orchestrator
• ConfigManager: Environment-aware configuration management
• Logger: Multi-level logging system with proper filtering
• Dashboard: Modern web interface for system monitoring

Planned Modules

• AI Engine: Advanced AI processing capabilities
• Connectivity Manager: Network and device connectivity
• Data Processor: Real-time data processing pipeline
• Security Manager: Authentication and authorization

🚀 Deployment

The project is configured for automatic deployment:

1. Main Application: Tested and validated on every push
2. Dashboard: Built and deployed to GitHub Pages automatically
3. CI/CD Pipeline:
   • Automated testing
   • Code quality checks
   • Coverage reporting
   • Production builds

📊 Dashboard Features

The web dashboard provides:

• System Overview: Real-time status and metrics
• Module Management: Monitor and control system modules
• Connection Management: Track active connections
• Live Logs: Real-time system log viewing
• Settings: Configurable dashboard preferences

Access the dashboard at: https://asshat1981ar.github.io/synapseconnect-tao/

🤝 Contributing

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

📝 License

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

🔧 Configuration

The application supports environment-specific configuration:

• Development: Debug logging, development features enabled
• Test: Minimal logging, test-specific settings
• Production: Optimized performance, error-level logging

Environment variables:

• NODE_ENV: Environment (development/test/production)
• PORT: Application port (default: 3000)
• LOG_LEVEL: Logging level (ERROR/WARN/INFO/DEBUG)

📚 API Documentation

Coming soon - API documentation will be available as the system develops.

⚡ Performance

• Startup Time: < 1 second
• Memory Usage: Optimized for minimal footprint
• Test Execution: < 1 second for full test suite
• Build Time: < 30 seconds for dashboard

🔍 Monitoring

The system includes built-in monitoring:

• Health Checks: System status monitoring
• Performance Metrics: Resource usage tracking
• Error Tracking: Comprehensive error reporting
• Audit Logs: System activity logging

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SynapseConnect TAO - Connecting Intelligence, Orchestrating Possibilities