rollup_gasPrices - Get modular L2 gas price o...

// Monitor gas prices for optimal transaction timing
async function monitorForOptimalGas(targetGwei, callback) {
  const monitor = new MantleGasPriceMonitor(rpcUrl);
  
  const checkPrice = async () => {
    const pricing = await monitor.getCurrentPricing();
    const currentGwei = pricing.formattedPrices.standardGasPrice.gwei;
    
    if (currentGwei <= targetGwei) {
      callback({
        optimal: true,
        currentPrice: currentGwei,
        targetPrice: targetGwei,
        message: 'Target price reached!'
      });
      return true;
    }
    
    return false;
  };
  
  // Check every 30 seconds
  const interval = setInterval(async () => {
    const optimal = await checkPrice();
    if (optimal) {
      clearInterval(interval);
    }
  }, 30000);
  
  // Initial check
  await checkPrice();
}

def optimize_transaction_timing(analyzer, transactions, budget_gwei):
    """Find optimal timing for multiple transactions within budget"""
    
    optimization_plan = []
    
    for i, tx in enumerate(transactions):
        # Estimate transaction cost at different gas prices
        cost_estimates = []
        
        for gas_price_gwei in [10, 15, 20, 25, 30]:
            gas_price_wei = int(gas_price_gwei * 1e9)
            estimated_cost = tx['gas_estimate'] * gas_price_wei
            
            cost_estimates.append({
                'gas_price_gwei': gas_price_gwei,
                'estimated_cost_wei': estimated_cost,
                'within_budget': gas_price_gwei <= budget_gwei
            })
        
        # Find optimal price point
        optimal = next(
            (est for est in cost_estimates if est['within_budget']),
            cost_estimates[0]
        )
        
        optimization_plan.append({
            'transaction_id': i,
            'optimal_gas_price': optimal['gas_price_gwei'],
            'estimated_cost': optimal['estimated_cost_wei'],
            'cost_estimates': cost_estimates
        })
    
    return optimization_plan

// Analyze historical gas price patterns
async function analyzeGasPricePatterns(monitor, days = 7) {
  const patterns = {
    hourlyAverages: {},
    dailyTrends: [],
    optimalTimes: []
  };
  
  // This would require storing historical data
  // For demonstration, showing structure
  
  // Simulate hourly analysis
  for (let hour = 0; hour < 24; hour++) {
    patterns.hourlyAverages[hour] = {
      averageGwei: 0, // Would be calculated from historical data
      transactionVolume: 0,
      volatility: 0
    };
  }
  
  // Identify optimal transaction times
  const sortedHours = Object.entries(patterns.hourlyAverages)
    .sort((a, b) => a[1].averageGwei - b[1].averageGwei);
  
  patterns.optimalTimes = sortedHours.slice(0, 6).map(([hour, data]) => ({
    hour: parseInt(hour),
    averageGwei: data.averageGwei,
    timeRange: `${hour}:00-${hour}:59 UTC`
  }));
  
  return patterns;
}