opportunity_finder.py

from typing import Dict, Optional
import logging
from decimal import Decimal
import asyncio
from concurrent.futures import ThreadPoolExecutor

logger = logging.getLogger(__name__)

class OpportunityFinder:
    def __init__(self, rpc_client):
        self.client = rpc_client
        self.executor = ThreadPoolExecutor(max_workers=4)
        self.min_profit = Decimal('0.01')  # In SOL
        
    async def analyze_transaction(self, tx_data: Dict) -> Optional[Dict]:
        try:
            # Extract price impact
            price_impact = await self._calculate_price_impact(tx_data)
            if not price_impact:
                return None
                
            # Calculate potential profit
            profit = await self._simulate_arbitrage(price_impact)
            if profit > self.min_profit:
                return {
                    'profit': float(profit),
                    'strategy': self._determine_strategy(price_impact),
                    'params': self._build_execution_params(tx_data, price_impact)
                }
            return None
            
        except Exception as e:
            logger.error(f"Analysis error: {e}")
            return None
            
    async def _calculate_price_impact(self, tx_data: Dict) -> Optional[Dict]:
        try:
            # Extract token amounts and calculate price impact
            # This is a simplified example - implement actual calculation
            return {
                'token_in': tx_data['token_in'],
                'token_out': tx_data['token_out'],
                'impact': Decimal('0.01')  # 1% impact
            }
        except:
            return None
            
    async def _simulate_arbitrage(self, price_impact: Dict) -> Decimal:
        # Simulate the arbitrage opportunity
        # This would involve checking prices across different DEXes
        impact = price_impact['impact']
        if impact > Decimal('0.02'):  # 2% threshold
            return impact * Decimal('0.5')  # Expected profit
        return Decimal('0')
        
    def _determine_strategy(self, price_impact: Dict) -> str:
        impact = price_impact['impact']
        if impact > Decimal('0.05'):
            return 'sandwich'
        return 'arbitrage'
        
    def _build_execution_params(self, tx_data: Dict, price_impact: Dict) -> Dict:
        return {
            'method': self._determine_strategy(price_impact),
            'tokens': {
                'in': price_impact['token_in'],
                'out': price_impact['token_out']
            },
            'amounts': {
                'min_profit': float(self.min_profit),
                'max_position': 0.5  # SOL
            }
        }