我用CHATGPT4模型写了一个BSC链专用的三明治攻击型MEV机器人，我的核心诉求就是「实际部署可跑」纯净的BSC链专用的MEV机器人，需要你以专业的角度从逻辑、框架、安全、功能、易操作、性能、代码质量、抗攻击能力、运营成本、策略竞争力等方面做出各项总满分5分的优劣评价及高级建议，以下为DEEPSEEK多次修改后的脚本：1. 智能合约改进 (v7.0)
<SOLIDITY>
// contracts/SandwichV7.sol
pragma solidity ^0.8.20;

import "@openzeppelin/contracts/security/ReentrancyGuard.sol";
import "@openzeppelin/contracts/token/ERC20/utils/SafeERC20.sol";

interface IRouter {
function swapExactBNBForTokens(uint, address[] calldata, address, uint) external payable;
function swapExactTokensForBNB(uint, uint, address[] calldata, address, uint) external;
function getAmountsOut(uint, address[] calldata) external view returns (uint[] memory);
}

contract BSCSandwichV7 is ReentrancyGuard {
using SafeERC20 for IERC20;

text
struct AttackSession {
    address token;
    uint256 held;
    uint256 initResIn;
    uint256 initResOut;
    uint256 deadline;
    uint256 minProfit;
    uint8 stopLoss;
    uint8 maxBatches;
    uint8 currentBatch;
    uint8 safetyFlags; // 新增安全状态标记
}

// 新增配置结构体
struct StrategyConfig {
    uint16 baseSlippage;      // 基础滑点 (0.01%精度)
    uint16 dynamicSlippageK; // 动态滑点系数
    uint8 emergencyExit;     // 紧急退出阈值
}

IRouter public immutable router;
address public immutable executor;
StrategyConfig public config;
mapping(bytes32 => AttackSession) public sessions;
mapping(address => address[][]) public altRoutes;

event SessionCreated(bytes32 indexed id, address token);
event BatchExecuted(bytes32 indexed id, uint256 amount, uint8 pathIndex, uint8 status);
event EmergencyExit(bytes32 indexed id, uint256 remaining);

constructor(address _router, StrategyConfig memory _config) {
    router = IRouter(_router);
    executor = msg.sender;
    config = _config;
}

function executeAttack(
    address[] calldata path,
    uint256 amountIn,
    uint256 minProfit,
    uint256 timeout,
    uint8 stopLoss,
    uint8 maxBatches
) external payable nonReentrant returns (bytes32) {
    require(msg.sender == executor, "Unauthorized");
    (uint256 rIn, uint256 rOut) = _getReserves(path[1]);
    
    // 动态价格冲击计算
    uint256 priceImpact = (amountIn * 1e4) / rIn;
    require(priceImpact < config.emergencyExit * 100, "Price impact too high");

    router.swapExactBNBForTokens{value: amountIn}(
        _calcMinOut(rIn, rOut, amountIn, config.baseSlippage),
        path,
        address(this),
        block.timestamp + 60
    );

    bytes32 sessionId = keccak256(abi.encodePacked(blockhash(block.number-1), path));
    sessions[sessionId] = AttackSession({
        token: path[1],
        held: IERC20(path[1]).balanceOf(address(this)),
        initResIn: rIn,
        initResOut: rOut,
        deadline: block.timestamp + timeout,
        minProfit: minProfit,
        stopLoss: stopLoss,
        maxBatches: maxBatches,
        currentBatch: 0,
        safetyFlags: 0
    });

    emit SessionCreated(sessionId, path[1]);
    return sessionId;
}

function liquidatePosition(
    bytes32 id,
    address[][] calldata altPaths
) external nonReentrant {
    AttackSession storage s = sessions[id];
    require(msg.sender == executor, "Unauthorized");

    uint256 totalProfit;
    while(s.currentBatch < s.maxBatches && block.timestamp < s.deadline) {
        (bool stop, uint8 status) = _checkSafety(s);
        if (stop) {
            _emergencyExit(id, s.held);
            return;
        }

        uint256 batchSize = _dynamicBatchSize(s);
        (bool success, uint256 sold) = _executeWithFallback(s.token, batchSize, altPaths);
        
        if (success) {
            totalProfit += sold;
            emit BatchExecuted(id, batchSize, 0, 1);
            if (totalProfit >= s.minProfit) break;
        } else {
            emit BatchExecuted(id, batchSize, 0, 2);
        }
        
        s.currentBatch++;
    }
    
    _finalize(id, totalProfit, 1);
}

function _dynamicBatchSize(AttackSession storage s) internal view returns (uint256) {
    (uint256 rIn, uint256 rOut) = _getReserves(s.token);
    uint256 remaining = s.held - (s.held * s.currentBatch / s.maxBatches);
    uint256 maxImpact = (remaining * 1e4) / rIn;
    
    // 动态滑点补偿公式
    uint256 dynamicAdj = config.dynamicSlippageK * maxImpact / 100;
    uint256 safeAmount = remaining * (10000 - dynamicAdj) / 10000;
    
    return safeAmount > remaining ? remaining : safeAmount;
}

function _executeWithFallback(
    address token,
    uint256 amount,
    address[][] memory paths
) internal returns (bool, uint256) {
    for (uint8 i = 0; i < paths.length; i++) {
        uint256 balanceBefore = address(this).balance;
        if (_trySwap(token, amount, paths[i])) {
            return (true, address(this).balance - balanceBefore);
        }
    }
    return (false, 0);
}

function _emergencyExit(bytes32 id, uint256 remaining) internal {
    IERC20 token = IERC20(sessions[id].token);
    token.safeTransfer(executor, remaining);
    emit EmergencyExit(id, remaining);
}

}
2. 前端系统升级 (v7.0)
<TYPESCRIPT>
// src/engine/SandwichEngineV7.ts
import { Kafka, Producer, Consumer } from 'kafkajs';
import { Redis } from 'ioredis';
import { MLModel } from './prediction';
import { TelegramNotifier } from './notify';

interface TransactionAnalysis {
hash: string;
profitPotential: number;
riskLevel: number;
tokenProfile: TokenProfile;
}

class SandwichEngineV7 {
private kafka: Kafka;
private producer: Producer;
private consumer: Consumer;
private redis: Redis;
private model: MLModel;
private notifier: TelegramNotifier;

text
constructor(config: EngineConfig) {
    this.kafka = new Kafka(config.kafka);
    this.producer = this.kafka.producer();
    this.consumer = this.kafka.consumer({ groupId: 'mev-v7' });
    this.redis = new Redis(config.redis);
    this.model = new MLModel(config.mlModelPath);
    this.notifier = new TelegramNotifier(config.telegram);
}

async start() {
    await this.producer.connect();
    await this.consumer.subscribe({ topic: 'pending-txs' });
    await this.consumer.run({
        eachMessage: async ({ message }) => {
            const tx = this.parseTransaction(message.value!);
            const analysis = await this.analyzeWithAI(tx);
            if (analysis.profitPotential > config.threshold) {
                await this.producer.send({
                    topic: 'high-priority-attacks',
                    messages: [message]
                });
            }
        }
    });
}

private async analyzeWithAI(tx: Transaction): Promise<TransactionAnalysis> {
    const cached = await this.redis.get(`analysis:${tx.hash}`);
    if (cached) return JSON.parse(cached);

    const features = this.extractFeatures(tx);
    const prediction = await this.model.predict(features);
    
    await this.redis.setex(`analysis:${tx.hash}`, 60, JSON.stringify(prediction));
    return prediction;
}

private extractFeatures(tx: Transaction) {
    return {
        gasPrice: tx.gasPrice,
        value: tx.value,
        tokenAge: this.getTokenAge(tx.to),
        liquidity: this.getPoolLiquidity(tx.to),
        volatility: this.calcVolatility(tx.to)
    };
}

}
3. 动态策略引擎 (v7.0)
<TYPESCRIPT>
// src/strategies/AdaptiveStrategyV4.ts
export class AdaptiveStrategyEngineV4 {
private strategyConfig: StrategyConfig;
private historicalData: HistoricalDataSet;
private realtimeMonitor: RealtimeMonitor;

text
constructor(config: AdaptiveStrategyConfig) {
    this.strategyConfig = config;
    this.historicalData = new HistoricalDataSet();
    this.realtimeMonitor = new RealtimeMonitor();
}

calculateBatchStrategy(session: AttackSession): BatchPlan {
    const marketDepth = this.realtimeMonitor.getMarketDepth(session.token);
    const volatility = this.historicalData.getVolatility(session.token);
    
    // 动态批次算法
    const baseBatches = Math.min(5, Math.floor(Math.log10(marketDepth)));
    const volatilityAdjustment = volatility > 0.3 ? -1 : 0;
    const adjustedBatches = baseBatches + volatilityAdjustment;
    
    return {
        batches: Math.max(2, adjustedBatches),
        slippageTolerance: this.calcDynamicSlippage(volatility),
        gasPriority: volatility > 0.5 ? 'high' : 'medium'
    };
}

private calcDynamicSlippage(volatility: number): number {
    return this.strategyConfig.baseSlippage + 
           volatility * this.strategyConfig.slippageFactor;
}

}
4. 监控与预警系统
<TYPESCRIPT>
// src/monitoring/AlertSystem.ts
export class AlertSystem {
private notifier: NotificationService;
private metrics: PerformanceMetrics;

text
constructor(notifier: NotificationService) {
    this.notifier = notifier;
    this.metrics = new PerformanceMetrics();
}

async checkConditions() {
    const stats = await this.metrics.getHourlyStats();
    
    if (stats.successRate < 0.6) {
        this.notifier.sendAlert(`低成功率警告: ${stats.successRate}%`);
    }
    
    if (stats.avgGasCost / stats.avgProfit > 0.4) {
        this.notifier.sendAlert(`Gas成本过高: ${stats.avgGasCost/stats.avgProfit}%`);
    }
}

}
5. 管理界面 (React)
<TYPESCRIPT>
// src/ui/StrategyConfigurator.tsx
export const StrategyConfigurator: React.FC = () => {
const [config, setConfig] = useState(defaultConfig);

text
return (
    <div className="strategy-panel">
        <Slider 
            label="基础滑点"
            value={config.baseSlippage}
            onChange={v => setConfig({...config, baseSlippage: v})}
            min={50} max={300} step={10}
        />
        <RiskSelector 
            levels={config.riskLevels}
            onChange={levels => setConfig({...config, riskLevels: levels})}
        />
        <button onClick={() => deployNewConfig(config)}>
            应用新策略
        </button>
    </div>
);

};
6. CLI管理工具
<BASH>
#!/usr/bin/env node
// cli/mev-cli.js

import { Command } from 'commander';
import { BotManager } from '../src/manager';

const program = new Command();
const manager = new BotManager();

program
.version('7.0.0')
.command('start')
.description('启动MEV机器人')
.action(() => manager.start());

program
.command('config <key> <value>')
.description('更新运行时配置')
.action((key, value) => manager.updateConfig(key, value));

program.parse(process.argv);

我用CHATGPT4模型写了一个BSC链专用的三明治攻击型MEV机器人，我的核心诉求就是「实际部署可跑」纯净的BSC链专用的MEV机器人，需要你以专业的角度从逻辑、框架、安全、功能、易操作、性能、代码质量、抗攻击能力、运营成本、策略竞争力等方面做出各项总满分5分的优劣评价及高级建议，以下为DEEPSEEK多次修改后的脚本：1. 智能合约改进 (v8.0)
<SOLIDITY>
// contracts/SandwichV8.sol
pragma solidity ^0.8.20;

import "@openzeppelin/contracts/security/ReentrancyGuard.sol";
import "@openzeppelin/contracts/utils/math/SafeMath.sol";

interface IDepthOracle {
function getRealTimeDepth(address pool) external view returns (uint256, uint256);
}

contract BSCSandwichV8 is ReentrancyGuard {
using SafeMath for uint256;

text
struct AttackSession {
    address token;
    uint256 held;
    uint256 initResIn;
    uint256 initResOut;
    uint256 deadline;
    uint256 minProfit;
    uint8 stopLoss;
    uint8 maxBatches;
    uint8 currentBatch;
    uint8 retryCount;
    uint256 lastBlockAttempted;
}

IDepthOracle public immutable depthOracle;
IRouter public immutable router;
address public immutable executor;

event SessionUpdated(bytes32 indexed id, uint8 statusCode, uint256 detail);
event PathOptimized(bytes32 indexed id, address[] newPath);

function liquidatePosition(
    bytes32 id,
    address[][] calldata altPaths
) external nonReentrant {
    AttackSession storage s = sessions[id];
    require(msg.sender == executor, "Unauthorized");
    
    // 实时深度监控集成
    (uint256 currentResIn, uint256 currentResOut) = depthOracle.getRealTimeDepth(s.token);
    _adjustStrategy(s, currentResIn, currentResOut);

    while(s.currentBatch < s.maxBatches) {
        // 观察期机制（等待3个区块）
        if (block.number <= s.lastBlockAttempted + 3) {
            emit SessionUpdated(id, 101, block.number);
            return;
        }

        // 动态路径优化
        address[] memory optimalPath = _findOptimalPath(s, altPaths);
        (bool success, uint256 profit) = _executeWithRetry(s, optimalPath);
        
        if (success) {
            _updateSession(s, profit);
            if (s.currentBatch >= s.maxBatches) break;
        } else {
            _handleFailedAttempt(s);
        }
        
        s.lastBlockAttempted = block.number;
    }
    
    _finalizeSession(id);
}

function _adjustStrategy(
    AttackSession storage s,
    uint256 currentResIn,
    uint256 currentResOut
) internal {
    // 实时深度校正攻击参数
    uint256 impact = s.held.mul(1e4).div(currentResIn);
    if (impact > config.maxPriceImpact) {
        s.maxBatches = uint8(s.maxBatches.mul(120).div(100)); // 增加20%批次
    }
}

function _executeWithRetry(
    AttackSession storage s,
    address[] memory path
) internal returns (bool, uint256) {
    for (uint8 i = 0; i < 3; i++) { // 跨区块重试机制
        (bool success, uint256 profit) = _trySwap(s.token, s.currentBatchSize(), path);
        if (success) return (true, profit);
        emit SessionUpdated(id, 301 + i, block.number);
    }
    return (false, 0);
}

}
2. 策略微服务架构
<TYPESCRIPT>
// src/services/strategy-service.ts
import { ModelClient } from './ml-service';

export class DynamicStrategyService {
private modelClient: ModelClient;

text
constructor(modelEndpoint: string) {
    this.modelClient = new ModelClient(modelEndpoint);
}

async generateAttackPlan(tx: Transaction): Promise<AttackPlan> {
    const features = this.extractFeatures(tx);
    const prediction = await this.modelClient.predict(features);
    
    return {
        batchConfig: this.calcBatches(prediction.volatility),
        paths: await this.findOptimalPaths(tx),
        gasStrategy: this.generateGasProfile(prediction)
    };
}

private calcBatches(volatility: number): BatchConfig {
    return {
        count: Math.min(8, Math.floor(5 * Math.log10(volatility * 1000))),
        sizeStrategy: volatility > 0.3 ? 'aggressive' : 'conservative'
    };
}

}
3. 实时监控与路径优化
<TYPESCRIPT>
// src/engine/liquidity-monitor.ts
export class LiquidityMonitor {
private redis: Redis;
private pools: Map<string, PoolMetrics> = new Map();

text
constructor() {
    this.redis = new Redis(process.env.REDIS_URL!);
    this.startDepthTracking();
}

private startDepthTracking() {
    this.redis.subscribe('pool-depth-updates', (err, count) => {
        if (err) console.error('Depth tracking error:', err);
    });

    this.redis.on('message', (channel, message) => {
        const update: DepthUpdate = JSON.parse(message);
        this.pools.set(update.poolAddress, {
            reserveIn: update.reserveIn,
            reserveOut: update.reserveOut,
            timestamp: Date.now()
        });
    });
}

getOptimalPath(token: string): PathCandidate[] {
    const candidates = this.generatePathCandidates(token);
    return candidates.sort((a, b) => 
        b.liquidityScore - a.liquidityScore
    ).slice(0, 3);
}

}
4. 前端增强与模拟器
<TYPESCRIPT>
// src/ui/simulator.tsx
export const AttackSimulator: React.FC = () => {
const [simResults, setSimResults] = useState<SimResult[]>([]);

text
const runSimulation = async (tx: Transaction) => {
    const result = await fetch('/api/simulate', {
        method: 'POST',
        body: JSON.stringify(tx)
    });
    
    setSimResults([...simResults, await result.json()]);
};

return (
    <div className="simulator">
        <TransactionInput onSubmit={runSimulation} />
        <SimResultChart data={simResults} />
        <RiskIndicator results={simResults} />
    </div>
);

};
5. 自动化部署系统
<BASH>
#!/bin/bash

deploy-v8.sh

export ENV=$1 docker-compose -f docker-compose.$ENV.yml build
docker stack deploy -c docker-compose.$ENV.yml mev-bot

执行冒烟测试

curl -X POST http://localhost:8080/healthcheck
if [ $? -ne 0 ]; then
echo "部署验证失败！执行回滚..."
docker stack rm mev-bot
docker stack deploy -c docker-compose.prev.yml mev-bot
exit 1
fi

echo "✅ 成功部署版本 v8.0"
6. 安全增强模块
<SOLIDITY>
// contracts/SandwichV8.sol
function _safeSwapCheck(
address token,
uint256 amount,
address[] memory path
) internal view {
uint256 balance = IERC20(token).balanceOf(address(this));
require(balance >= amount, "Insufficient balance");

text
(uint256 reserveA, uint256 reserveB) = _getReserves(path[0]);
uint256 maxAmount = reserveA.mul(config.maxSlippage).div(10000);
require(amount <= maxAmount, "Swap exceeds safe slippage");

}

function _flashLoanDetector() internal view {
uint256 currentReserve = _getReserves(token).current;
uint256 reserveChange = currentReserve.sub(initReserve).abs();
if (reserveChange.mul(100).div(initReserve) > 30) {
revert("Suspected flash loan activity");
}
}