#!/usr/bin/env python3 """ Payment Channel Architecture Analysis Dust-free Lightning Network and channel management """ import json import math from typing import Dict, List, Optional, Any, Tuple from dataclasses import dataclass from datetime import datetime @dataclass class ChannelState: """Payment channel state""" channel_id: str balance_a: int balance_b: int capacity: int dust_limit: int = 546 is_active: bool = True @dataclass class Payment: """Payment transaction""" amount: int from_a: bool # True if A pays B fee: int = 1 class DustFreeChannelManager: """Manages payment channels to eliminate dust""" def __init__(self, initial_dust_limit: int = 546): self.dust_limit = initial_dust_limit self.channels = {} self.dust_accumulator = 0 def create_channel(self, capacity: int, initial_balance_a: int) -> ChannelState: """Create new dust-aware payment channel""" # Ensure minimum balances avoid dust min_balance = self.dust_limit * 2 if initial_balance_a < min_balance: initial_balance_a = min_balance balance_b = capacity - initial_balance_a if balance_b < min_balance: balance_b = min_balance initial_balance_a = capacity - min_balance channel_id = hashlib.sha256( f"{capacity}_{initial_balance_a}_{datetime.now()}".encode() ).hexdigest()[:16] channel = ChannelState( channel_id=channel_id, balance_a=initial_balance_a, balance_b=balance_b, capacity=capacity, dust_limit=self.dust_limit ) self.channels[channel_id] = channel return channel def process_payment(self, channel_id: str, payment: Payment) -> Dict[str, Any]: """Process payment with dust handling""" channel = self.channels.get(channel_id) if not channel: return {"error": "Channel not found"} # Check if payment would create dust if payment.from_a: new_balance_a = channel.balance_a - payment.amount - payment.fee new_balance_b = channel.balance_b + payment.amount else: new_balance_a = channel.balance_a + payment.amount new_balance_b = channel.balance_b - payment.amount - payment.fee # Dust validation if new_balance_a < self.dust_limit or new_balance_b < self.dust_limit: return { "success": False, "error": "Payment would create dust balance", "suggested_amount": min(new_balance_a, new_balance_b) - self.dust_limit } # Apply payment channel.balance_a = new_balance_a channel.balance_b = new_balance_b return { "success": True, "channel_id": channel_id, "new_balance_a": new_balance_a, "new_balance_b": new_balance_b, "payment_processed": payment.amount, "fee_paid": payment.fee } def batch_dust_recovery(self, channel_id: str) -> Dict[str, Any]: """Recover dust from channel balances""" channel = self.channels.get(channel_id) if not channel: return {"error": "Channel not found"} # Calculate dust amounts dust_a = max(0, self.dust_limit - channel.balance_a) dust_b = max(0, self.dust_limit - channel.balance_b) total_dust = dust_a + dust_b if total_dust == 0: return {"message": "No dust to recover"} # Model dust consolidation recovery_fee = 1000 # Estimated recovered_amount = total_dust - recovery_fee return { "dust_found": total_dust, "recovery_fee": recovery_fee, "recoverable_amount": max(0, recovered_amount), "method": "channel_cooperative_close" } def optimize_channels(self) -> Dict[str, Any]: """Optimize all channels for dust elimination""" optimization_results = [] for channel_id, channel in self.channels.items(): # Check for suboptimal balances total_balance = channel.balance_a + channel.balance_b optimal_split = total_balance // 2 dust_potential = abs(channel.balance_a - optimal_split) optimization_results.append({ "channel_id": channel_id, "current_balance_a": channel.balance_a, "current_balance_b": channel.balance_b, "optimal_balance": optimal_split, "dust_potential": dust_potential, "optimization_needed": dust_potential > self.dust_limit }) return { "channels_analyzed": len(self.channels), "optimization_results": optimization_results, "total_dust_potential": sum(r["dust_potential"] for r in optimization_results) } class SplicingManager: """Manages channel splicing for dust elimination""" def __init__(self): self.splice_operations = [] def model_splice_in(self, channel: ChannelState, add_amount: int) -> Dict[str, Any]: """Model splice-in operation to eliminate dust""" if add_amount < 546: # Below dust limit return {"error": "Splice-in amount too small"} new_capacity = channel.capacity + add_amount return { "operation": "splice_in", "current_capacity": channel.capacity, "new_capacity": new_capacity, "added_amount": add_amount, "dust_eliminated": True, "fee_estimate": 1000 } def model_splice_out(self, channel: ChannelState, remove_amount: int) -> Dict[str, Any]: """Model splice-out operation for dust recovery""" if remove_amount < 546: return {"error": "Splice-out amount below dust limit"} if remove_amount > min(channel.balance_a, channel.balance_b): return {"error": "Insufficient balance for splice-out"} new_capacity = channel.capacity - remove_amount return { "operation": "splice_out", "current_capacity": channel.capacity, "new_capacity": new_capacity, "removed_amount": remove_amount, "dust_recovered": True, "fee_estimate": 1000 } def test_payment_channels(): """Test payment channel dust elimination""" manager = DustFreeChannelManager() splicer = SplicingManager() # Create test channel channel = manager.create_channel(capacity=50000, initial_balance_a=25000) print("=== Payment Channel Analysis ===") print(f"Channel ID: {channel.channel_id}") print(f"Initial Balance A: {channel.balance_a} satoshis") print(f"Initial Balance B: {channel.balance_b} satoshis") # Test payments payments = [ Payment(amount=10000, from_a=True), Payment(amount=5000, from_a=False), Payment(amount=200, from_a=True), # Would create dust ] for payment in payments: result = manager.process_payment(channel.channel_id, payment) print(f"\nPayment {payment.amount} from {'A' if payment.from_a else 'B'}: {result.get('success', False)}") if not result.get('success'): print(f" Error: {result.get('error')}") # Test dust recovery dust_recovery = manager.batch_dust_recovery(channel.channel_id) print(f"\n=== Dust Recovery ===") print(f"Dust Found: {dust_recovery.get('dust_found', 0)} satoshis") print(f"Recoverable: {dust_recovery.get('recoverable_amount', 0)} satoshis") # Test splicing splice_in = splicer.model_splice_in(channel, 10000) print(f"\n=== Splice In ===") print(f"Operation Success: {splice_in.get('dust_eliminated', False)}") print(f"New Capacity: {splice_in.get('new_capacity', 0)} satoshis") # Optimize channels optimization = manager.optimize_channels() print(f"\n=== Channel Optimization ===") print(f"Channels Analyzed: {optimization['channels_analyzed']}") print(f"Total Dust Potential: {optimization['total_dust_potential']} satoshis") return True if __name__ == "__main__": import hashlib test_payment_channels()