《谋杀绿脚趾》与Gas价格：懒散作为交易费用的博弈

// SPDX-License-Identifier: MIT
pragma solidity ^0.8.20;

/**
 * @title 天然气优化器
 * @notice 优化Gas消耗的智能合约
 */
contract GasOptimizer {
    struct GasPrice {
        uint256 timestamp;
        uint256 baseFee;
        uint256 priorityFee;
        uint256 suggestedPrice;
    }
    
    mapping(uint256 => GasPrice) public gasHistory;
    uint256 public sampleCount;
    
    uint256 public constant OPERATION_COST = 21000;
    uint256 public constant STORAGE_COST = 20000;
    
    /**
     * @notice 批量转移 - 比单次转移更省Gas
     */
    function batchTransfer(
        address[] memory recipients,
        uint256[] memory amounts
    ) external {
        require(recipients.length == amounts.length, "Length mismatch");
        // 批量转账比单次转账更省Gas
        for (uint256 i = 0; i < recipients.length; i++) {
            payable(recipients[i]).transfer(amounts[i]);
        }
    }
    
    /**
     * @notice 使用calldata代替memory - 节省Gas
     */
    function processCalldata(bytes calldata data) external pure returns (bytes32) {
        return keccak256(data);
    }
    
    /**
     * @notice 使用uint256代替小于256位的类型 - 节省Gas
     */
    function optimizedSum(uint256[] calldata values) external pure returns (uint256) {
        uint256 sum;
        for (uint256 i = 0; i < values.length; i++) {
            sum += values[i];
        }
        return sum;
    }
    
    /**
     * @notice 记录Gas价格样本
     * 就像督爷记录保龄球得分
     */
    function recordGasPrice() external {
        GasPrice storage gp = gasHistory[sampleCount];
        gp.timestamp = block.timestamp;
        gp.baseFee = block.basefee;
        gp.priorityFee = tx.gasprice - block.basefee;
        gp.suggestedPrice = tx.gasprice;
        sampleCount++;
    }
    
    /**
     * @notice 获取最佳Gas价格
     */
    function getOptimalGasPrice() external view returns (uint256) {
        if (sampleCount == 0) return 0;
        
        uint256 sum;
        for (uint256 i = 0; i < sampleCount; i++) {
            sum += gasHistory[i].suggestedPrice;
        }
        return sum / sampleCount;
    }
}

from web3 import Web3
import pandas as pd
from datetime import datetime
from typing import Dict, List
import json
import time

class GasTracker:
    """Gas价格追踪器"""
    
    def __init__(self, rpc_url: str):
        self.w3 = Web3(Web3.HTTPProvider(rpc_url))
        self.history = []
        
    def get_current_gas_price(self) -> Dict:
        """获取当前Gas价格"""
        gas_price = self.w3.eth.gas_price
        return {
            'timestamp': datetime.now().isoformat(),
            'gas_price_wei': gas_price,
            'gas_price_gwei': self.w3.from_wei(gas_price, 'gwei'),
            'block_number': self.w3.eth.block_number
        }
    
    def track_gas_prices(self, duration: int = 3600, interval: int = 60) -> List[Dict]:
        """追踪Gas价格变化"""
        start = time.time()
        while time.time() - start < duration:
            price = self.get_current_gas_price()
            self.history.append(price)
            time.sleep(interval)
        return self.history
    
    def analyze_gas_patterns(self) -> Dict:
        """分析Gas价格模式"""
        if not self.history:
            return {}
        
        df = pd.DataFrame(self.history)
        df['hour'] = pd.to_datetime(df['timestamp']).dt.hour
        
        return {
            'avg_gas_gwei': df['gas_price_gwei'].mean(),
            'min_gas_gwei': df['gas_price_gwei'].min(),
            'max_gas_gwei': df['gas_price_gwei'].max(),
            'peak_hour': int(df.groupby('hour')['gas_price_gwei'].mean().idxmax()),
            'trough_hour': int(df.groupby('hour')['gas_price_gwei'].mean().idxmin())
        }
    
    def suggest_optimal_gas(self) -> Dict:
        """建议最佳Gas价格"""
        if not self.history:
            current = self.get_current_gas_price()
            return {'suggested_gwei': current['gas_price_gwei'], 'strategy': 'current'}
        
        analysis = self.analyze_gas_patterns()
        current_hour = datetime.now().hour
        
        if current_hour == analysis['trough_hour']:
            return {'suggested_gwei': analysis['avg_gas_gwei'] * 0.8, 'strategy': 'low'}
        else:
            return {'suggested_gwei': analysis['avg_gas_gwei'], 'strategy': 'normal'}

tracker = GasTracker('https://eth-mainnet.g.alchemy.com/v2/YOUR_KEY')
print(json.dumps(tracker.get_current_gas_price(), indent=2))

const ethers = require('ethers');

class GasOptimizerUI {
  constructor(provider) {
    this.provider = provider;
  }

  async estimateGasCost(tx) {
    const gasEstimate = await this.provider.estimateGas(tx);
    const gasPrice = await this.provider.getGasPrice();
    return {
      gasUnits: gasEstimate.toString(),
      gasPrice: ethers.utils.formatUnits(gasPrice, 'gwei'),
      totalCost: ethers.utils.formatEther(gasEstimate.mul(gasPrice)),
      totalCostUsd: 0
    };
  }

  async findOptimalGasPrice() {
    const gasPrice = await this.provider.getGasPrice();
    const block = await this.provider.getBlock('latest');
    const baseFee = block.baseFeePerGas;
    
    return {
      baseFee: ethers.utils.formatUnits(baseFee, 'gwei'),
      priorityFee: ethers.utils.formatUnits(gasPrice.sub(baseFee), 'gwei'),
      total: ethers.utils.formatUnits(gasPrice, 'gwei'),
      strategy: baseFee.lt(ethers.utils.parseUnits('10', 'gwei')) ? 'low' : 
                baseFee.lt(ethers.utils.parseUnits('50', 'gwei')) ? 'normal' : 'high'
    };
  }
}

const optimizer = new GasOptimizerUI(new ethers.providers.JsonRpcProvider());