lnflow/README.md

⚡ Lightning Policy Manager

Next-generation Lightning Network channel fee optimization with advanced inbound fee strategies, machine learning, and automatic rollback protection.

🚀 Overview

Lightning Policy Manager is an intelligent fee management system that enhances the popular charge-lnd tool with:

• ✅ Advanced inbound fee strategies (beyond simple discounts)
• ✅ Automatic rollback protection for safety
• ✅ Machine learning optimization from historical data
• ✅ Revenue maximization focus vs simple rule-based approaches
• ✅ High-performance gRPC integration with REST fallback
• ✅ Comprehensive security with method whitelisting
• ✅ Complete charge-lnd compatibility

📁 Repository Structure

lightning-fee-optimizer/
├── 📄 README.md                    # This file
├── ⚙️  pyproject.toml              # Modern Python project config
├── 📋 requirements.txt             # Python dependencies
├── 🚫 .gitignore                   # Git ignore rules
├──
├── 📂 src/                         # Main application source
│   ├── 🔧 main.py                  # Application entry point
│   ├── 🏛️  api/                    # LND API clients
│   ├── 🧪 experiment/              # Experiment framework
│   ├── 📊 analysis/                # Channel analysis
│   ├── 🎯 policy/                  # Policy management engine
│   ├── 📈 strategy/                # Fee optimization strategies
│   ├── 🔧 utils/                   # Utilities & database
│   └── 📋 models/                  # Data models
├──
├── 📂 scripts/                     # Automation scripts
│   ├── ⚡ setup_grpc.sh            # Secure gRPC setup
│   ├── 📊 advanced_fee_strategy.sh # Advanced fee management
│   └── 🔧 *.sh                    # Other automation scripts
├──
├── 📂 examples/                    # Configuration examples
│   ├── basic_policy.conf          # Simple policy example
│   └── advanced_policy.conf       # Advanced features demo
├──
├── 📂 docs/                        # Documentation
│   ├── 📖 LIGHTNING_POLICY_README.md    # Detailed guide
│   ├── 🛡️  SECURITY_ANALYSIS_REPORT.md # Security audit
│   ├── 🚀 GRPC_UPGRADE.md              # gRPC integration
│   └── 📊 *.md                         # Other documentation
├──
├── 🔧 lightning_policy.py          # Main CLI tool
├── 🧪 lightning_experiment.py     # Experiment runner
├── 📊 analyze_data.py              # Data analysis tool
└── 🧪 test_*.py                   # Test files

🏃 Quick Start

1. Setup Environment

# Create virtual environment
python3 -m venv venv
source venv/bin/activate

# Install dependencies
pip install -r requirements.txt

# Setup secure gRPC (optional, for better performance)
./scripts/setup_grpc.sh

2. Generate Configuration

# Create a sample policy configuration
./lightning_policy.py generate-config my_policy.conf

3. Test Policies (Dry Run)

# Test your policies without applying changes
./lightning_policy.py -c my_policy.conf apply --dry-run

4. Apply Policies

# Apply fee changes via high-performance gRPC
./lightning_policy.py -c my_policy.conf apply

# Or use REST API
./lightning_policy.py --prefer-rest -c my_policy.conf apply

💡 Key Features

🎯 Intelligent Inbound Fee Strategies

[balance-drain-channels]
chan.min_ratio = 0.8              # High local balance
strategy = balance_based
inbound_fee_ppm = -100            # Encourage inbound flow

🛡️ Automatic Rollback Protection

[revenue-channels]
strategy = revenue_max
enable_auto_rollback = true       # Monitor performance
rollback_threshold = 0.25         # Rollback if revenue drops >25%

⚡ High-Performance gRPC

• 10x faster fee updates than REST
• Native LND interface (same as charge-lnd)
• Automatic fallback to REST if gRPC unavailable
• Secure by design - only fee management operations allowed

📊 Advanced Analytics

• Policy performance tracking
• Revenue optimization reports
• Channel analysis and insights
• Historical data learning

🔒 Security Features

• ✅ Method whitelisting - only fee management operations allowed
• ✅ Runtime validation - dangerous operations blocked
• ✅ Comprehensive audit - all operations logged
• ✅ No fund movement - only channel fee updates
• ✅ Production-ready - enterprise security standards

📚 Documentation

• Lightning Policy Guide - Complete feature overview
• Security Analysis - Comprehensive security audit
• gRPC Integration - High-performance setup guide
• Experiment Guide - Advanced experimentation

🔧 CLI Commands

# Policy Management
./lightning_policy.py apply          # Apply policies
./lightning_policy.py status         # Show policy status
./lightning_policy.py rollback       # Check/execute rollbacks
./lightning_policy.py daemon --watch # Run in daemon mode

# Analysis & Reports
./lightning_policy.py report         # Performance report
./lightning_policy.py test-channel   # Test specific channel

# Configuration
./lightning_policy.py generate-config # Create sample config

⚙️ Configuration Options

# gRPC (preferred - 10x faster)
--lnd-grpc-host localhost:10009      # LND gRPC endpoint
--prefer-grpc                        # Use gRPC (default)

# REST API (fallback)  
--lnd-rest-url https://localhost:8080 # LND REST endpoint
--prefer-rest                         # Force REST API

# Authentication
--lnd-dir ~/.lnd                     # LND directory
--macaroon-path admin.macaroon       # Macaroon file

🆚 Comparison with charge-lnd

Feature	charge-lnd	Lightning Policy Manager
Basic Fee Management	✅	✅ Enhanced
Inbound Fee Support	⚠️ Limited	✅ Advanced strategies
Performance Monitoring	❌	✅ Automatic rollbacks
Machine Learning	❌	✅ Data-driven optimization
API Performance	gRPC only	✅ gRPC + REST fallback
Security	Basic	✅ Enterprise-grade
Revenue Focus	Rule-based	✅ Revenue optimization

🧪 Testing

# Run tests
python -m pytest test_optimizer.py

# Test with your configuration
./lightning_policy.py -c your_config.conf apply --dry-run

# Test specific channel
./lightning_policy.py -c your_config.conf test-channel CHANNEL_ID

🤝 Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Add tests for new functionality
5. Ensure security standards are maintained
6. Submit a pull request

📄 License

This project enhances and builds upon the open-source charge-lnd tool while adding significant new capabilities for Lightning Network fee optimization.

🔗 Related Projects

• charge-lnd - Original fee management tool
• LND - Lightning Network Daemon

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⚡ Supercharge your Lightning Network channel fee management with intelligent, automated optimization! 🚀