#include <iostream>
#include <vector>
#include <unordered_map>
#include <memory>
#include <random>
#include <thread>
#include <mutex>
#include <chrono>
#include <algorithm>
#include <numeric>
#include <cmath>
#include <queue>
#include <Eigen/Dense>
#include <boost/asio.hpp>
#include <nlohmann/json.hpp>

using namespace std;
using namespace Eigen;
using json = nlohmann::json;
namespace asio = boost::asio;
using asio::ip::tcp;

// 广告联盟成员类型
enum class PartnerType {
    PUBLISHER,  // 内容发布商
    AD_NETWORK, // 广告网络
    DSP,        // 需求方平台
    SSP,        // 供应方平台
    DATA_PROVIDER // 数据提供商
};

// 成员智能体
class PartnerAgent {
private:
    string id;
    PartnerType type;
    double contribution; // 贡献度
    double revenue_share; // 当前收益分成比例
    double min_share;    // 最低可接受分成
    double max_share;    // 最高期望分成
    double learning_rate;
    vector<double> historical_shares;
    vector<double> historical_contributions;
    mutex mtx;
    
    // 计算预期效用
    double calculate_utility(double proposed_share) const {
        // 效用 = 收益分成 * 贡献度 - 风险系数 * (max_share - proposed_share)^2
        double risk_factor = 0.5;
        return proposed_share * contribution - 
               risk_factor * pow(max_share - proposed_share, 2);
    }
    
public:
    PartnerAgent(string id, PartnerType type, 
                double min_share, double max_share,
                double learning_rate = 0.01)
        : id(id), type(type), contribution(0.0), 
          revenue_share((min_share + max_share) / 2),
          min_share(min_share), max_share(max_share),
          learning_rate(learning_rate) {}
    
    // 提出收益分成建议
    double propose_share() {
        lock_guard<mutex> lock(mtx);
        
        // 加入随机探索
        random_device rd;
        mt19937 gen(rd());
        normal_distribution<double> dist(revenue_share, 0.05);
        
        double proposal = dist(gen);
        return max(min_share, min(max_share, proposal));
    }
    
    // 更新策略
    void update_strategy(double accepted_share, double actual_contribution) {
        lock_guard<mutex> lock(mtx);
        
        // 记录历史数据
        historical_shares.push_back(accepted_share);
        historical_contributions.push_back(actual_contribution);
        
        // 更新贡献度估计 (移动平均)
        contribution = 0.9 * contribution + 0.1 * actual_contribution;
        
        // 基于效用更新期望分成
        double current_utility = calculate_utility(revenue_share);
        double new_share = revenue_share + learning_rate * (accepted_share - revenue_share);
        
        // 确保在合理范围内
        revenue_share = max(min_share, min(max_share, new_share));
    }
    
    // 评估提议
    bool evaluate_proposal(double proposed_share) {
        lock_guard<mutex> lock(mtx);
        return proposed_share >= min_share && 
               calculate_utility(proposed_share) >= calculate_utility(revenue_share) * 0.8;
    }
    
    // 获取当前状态
    json get_state() const {
        return {
            {"id", id},
            {"type", static_cast<int>(type)},
            {"contribution", contribution},
            {"current_share", revenue_share},
            {"min_share", min_share},
            {"max_share", max_share}
        };
    }
    
    const string& get_id() const { return id; }
    PartnerType get_type() const { return type; }
    double get_contribution() const { return contribution; }
    double get_current_share() const { return revenue_share; }
};

// 广告交易记录
class AdTransaction {
private:
    string transaction_id;
    vector<string> involved_partners;
    double total_revenue;
    unordered_map<string, double> contributions;
    unordered_map<string, double> final_shares;
    chrono::system_clock::time_point timestamp;
    
public:
    AdTransaction(string id, const vector<string>& partners, double revenue)
        : transaction_id(id), involved_partners(partners), total_revenue(revenue),
          timestamp(chrono::system_clock::now()) {}
    
    // 记录成员贡献
    void record_contribution(const string& partner_id, double contribution) {
        contributions[partner_id] = contribution;
    }
    
    // 记录最终分成
    void record_final_share(const string& partner_id, double share) {
        final_shares[partner_id] = share;
    }
    
    // 获取交易信息
    json get_info() const {
        json info = {
            {"transaction_id", transaction_id},
            {"total_revenue", total_revenue},
            {"timestamp", chrono::system_clock::to_time_t(timestamp)},
            {"contributions", contributions},
            {"final_shares", final_shares}
        };
        return info;
    }
    
    const string& get_id() const { return transaction_id; }
    double get_total_revenue() const { return total_revenue; }
};

// 广告联盟协调器
class AdAllianceCoordinator {
private:
    unordered_map<string, shared_ptr<PartnerAgent>> partners;
    vector<shared_ptr<AdTransaction>> transactions;
    double total_alliance_revenue;
    mutex mtx;
    thread learning_thread;
    atomic<bool> running;
    condition_variable cv;
    queue<shared_ptr<AdTransaction>> learning_queue;
    
    // 计算标准化贡献度
    unordered_map<string, double> calculate_normalized_contributions(
        const unordered_map<string, double>& raw_contributions) {
        
        double total = accumulate(raw_contributions.begin(), raw_contributions.end(), 0.0,
                                [](double sum, const auto& pair) { return sum + pair.second; });
        
        unordered_map<string, double> normalized;
        for (const auto& [id, contrib] : raw_contributions) {
            normalized[id] = total > 0 ? contrib / total : 1.0 / raw_contributions.size();
        }
        return normalized;
    }
    
    // 学习线程
    void learning_loop() {
        while (running) {
            unique_lock<mutex> lock(mtx);
            cv.wait(lock, [this]() { return !learning_queue.empty() || !running; });
            
            if (!running) break;
            
            auto transaction = learning_queue.front();
            learning_queue.pop();
            lock.unlock();
            
            // 更新各参与方的策略
            const auto& shares = transaction->get_info()["final_shares"];
            const auto& contribs = transaction->get_info()["contributions"];
            
            for (const auto& [id, share] : shares.items()) {
                if (partners.count(id)) {
                    double contrib = contribs[id].get<double>();
                    partners[id]->update_strategy(share, contrib);
                }
            }
        }
    }
    
    // 协商收益分配
    unordered_map<string, double> negotiate_shares(
        const vector<string>& participant_ids,
        double total_revenue) {
        
        unordered_map<string, double> proposed_shares;
        unordered_map<string, double> accepted_shares;
        
        // 多轮协商
        for (int round = 0; round < 3; ++round) {
            // 各方提出建议
            for (const auto& id : participant_ids) {
                if (partners.count(id)) {
                    proposed_shares[id] = partners[id]->propose_share();
                }
            }
            
            // 检查总和是否合理
            double total_proposed = accumulate(proposed_shares.begin(), proposed_shares.end(), 0.0,
                                             [](double sum, const auto& pair) { return sum + pair.second; });
            
            // 标准化比例
            if (total_proposed > 0) {
                for (auto& [id, share] : proposed_shares) {
                    share = share / total_proposed;
                }
            } else {
                // 默认平均分配
                double equal_share = 1.0 / participant_ids.size();
                for (const auto& id : participant_ids) {
                    proposed_shares[id] = equal_share;
                }
            }
            
            // 各方评估提议
            bool all_accepted = true;
            for (const auto& id : participant_ids) {
                if (partners.count(id) && 
                    !partners[id]->evaluate_proposal(proposed_shares[id])) {
                    all_accepted = false;
                    break;
                }
            }
            
            if (all_accepted) {
                // 达成一致
                for (const auto& [id, share] : proposed_shares) {
                    accepted_shares[id] = share * total_revenue;
                }
                break;
            }
        }
        
        // 如果协商失败，按贡献度分配
        if (accepted_shares.empty()) {
            unordered_map<string, double> contributions;
            for (const auto& id : participant_ids) {
                contributions[id] = partners.count(id) ? partners[id]->get_contribution() : 1.0;
            }
            auto normalized = calculate_normalized_contributions(contributions);
            
            for (const auto& [id, share] : normalized) {
                accepted_shares[id] = share * total_revenue;
            }
        }
        
        return accepted_shares;
    }
    
public:
    AdAllianceCoordinator() : total_alliance_revenue(0), running(false) {}
    ~AdAllianceCoordinator() { stop(); }
    
    // 添加联盟成员
    void add_partner(shared_ptr<PartnerAgent> partner) {
        lock_guard<mutex> lock(mtx);
        partners[partner->get_id()] = partner;
    }
    
    // 处理广告交易
    shared_ptr<AdTransaction> process_transaction(
        const vector<string>& participant_ids,
        double total_revenue,
        const unordered_map<string, double>& raw_contributions) {
        
        // 创建交易记录
        auto transaction = make_shared<AdTransaction>(
            "tx_" + to_string(transactions.size() + 1),
            participant_ids,
            total_revenue);
        
        // 记录原始贡献
        for (const auto& [id, contrib] : raw_contributions) {
            transaction->record_contribution(id, contrib);
        }
        
        // 协商收益分配
        auto final_shares = negotiate_shares(participant_ids, total_revenue);
        
        // 记录最终分成
        for (const auto& [id, share] : final_shares) {
            transaction->record_final_share(id, share);
        }
        
        // 更新联盟总收益
        {
            lock_guard<mutex> lock(mtx);
            total_alliance_revenue += total_revenue;
            transactions.push_back(transaction);
            learning_queue.push(transaction);
            cv.notify_one();
        }
        
        return transaction;
    }
    
    // 启动学习线程
    void start() {
        if (running) return;
        running = true;
        learning_thread = thread(&AdAllianceCoordinator::learning_loop, this);
    }
    
    // 停止学习线程
    void stop() {
        if (!running) return;
        running = false;
        cv.notify_one();
        if (learning_thread.joinable()) {
            learning_thread.join();
        }
    }
    
    // 获取联盟状态报告
    json get_alliance_report() const {
        json report;
        
        lock_guard<mutex> lock(mtx);
        report["total_revenue"] = total_alliance_revenue;
        report["num_transactions"] = transactions.size();
        
        json partners_json;
        for (const auto& [id, partner] : partners) {
            partners_json[id] = partner->get_state();
        }
        report["partners"] = partners_json;
        
        return report;
    }
};

// HTTP服务器
class AllianceServer {
private:
    AdAllianceCoordinator& coordinator;
    asio::io_context io_context;
    tcp::acceptor acceptor;
    atomic<bool> running;
    
    // 处理HTTP请求
    string handle_request(const string& method, const string& target, const string& body) {
        if (method == "POST") {
            if (target == "/transaction") {
                try {
                    json request = json::parse(body);
                    
                    vector<string> participants = request["participants"];
                    double revenue = request["revenue"];
                    unordered_map<string, double> contributions = request["contributions"];
                    
                    auto transaction = coordinator.process_transaction(participants, revenue, contributions);
                    return "HTTP/1.1 200 OK\r\nContent-Type: application/json\r\n\r\n" + 
                           transaction->get_info().dump();
                } catch (const exception& e) {
                    return "HTTP/1.1 400 Bad Request\r\n\r\nInvalid request: " + string(e.what());
                }
            }
            else if (target == "/add_partner") {
                try {
                    json request = json::parse(body);
                    
                    string id = request["id"];
                    PartnerType type = static_cast<PartnerType>(request["type"].get<int>());
                    double min_share = request["min_share"];
                    double max_share = request["max_share"];
                    
                    auto partner = make_shared<PartnerAgent>(id, type, min_share, max_share);
                    coordinator.add_partner(partner);
                    
                    return "HTTP/1.1 200 OK\r\nContent-Type: application/json\r\n\r\n" + 
                           R"({"status": "partner_added"})";
                } catch (const exception& e) {
                    return "HTTP/1.1 400 Bad Request\r\n\r\nInvalid request: " + string(e.what());
                }
            }
        }
        else if (method == "GET") {
            if (target == "/report") {
                return "HTTP/1.1 200 OK\r\nContent-Type: application/json\r\n\r\n" + 
                       coordinator.get_alliance_report().dump();
            }
        }
        
        return "HTTP/1.1 404 Not Found\r\n\r\n";
    }
    
    // 处理客户端连接
    void handle_connection(tcp::socket socket) {
        try {
            asio::streambuf buffer;
            asio::read_until(socket, buffer, "\r\n\r\n");
            
            istream is(&buffer);
            string request_line;
            getline(is, request_line);
            
            vector<string> tokens;
            boost::split(tokens, request_line, boost::is_any_of(" "));
            if (tokens.size() < 3) return;
            
            string method = tokens[0];
            string target = tokens[1];
            
            // 读取请求体
            string body;
            while (is) {
                string line;
                getline(is, line);
                if (line == "\r") break;
            }
            
            while (is) {
                string line;
                getline(is, line);
                body += line;
            }
            
            // 处理请求
            string response = handle_request(method, target, body);
            
            // 发送响应
            asio::write(socket, asio::buffer(response));
        } catch (const exception& e) {
            cerr << "处理连接错误: " << e.what() << endl;
        }
    }
    
    // 接受连接
    void accept_connections() {
        while (running) {
            try {
                tcp::socket socket(io_context);
                acceptor.accept(socket);
                
                thread([this, s = move(socket)]() mutable {
                    handle_connection(move(s));
                }).detach();
            } catch (const exception& e) {
                if (running) {
                    cerr << "接受连接错误: " << e.what() << endl;
                }
            }
        }
    }
    
public:
    AllianceServer(AdAllianceCoordinator& coord, unsigned short port)
        : coordinator(coord), acceptor(io_context, tcp::endpoint(tcp::v4(), port)), running(false) {}
    
    ~AllianceServer() {
        stop();
    }
    
    // 启动服务器
    void start() {
        if (running) return;
        running = true;
        thread([this]() { accept_connections(); }).detach();
    }
    
    // 停止服务器
    void stop() {
        if (!running) return;
        running = false;
        acceptor.close();
    }
};

// 示例使用
int main() {
    try {
        // 1. 创建广告联盟协调器
        AdAllianceCoordinator coordinator;
        
        // 2. 添加联盟成员
        coordinator.add_partner(make_shared<PartnerAgent>(
            "pub1", PartnerType::PUBLISHER, 0.3, 0.7));
        coordinator.add_partner(make_shared<PartnerAgent>(
            "dsp1", PartnerType::DSP, 0.2, 0.5));
        coordinator.add_partner(make_shared<PartnerAgent>(
            "data1", PartnerType::DATA_PROVIDER, 0.1, 0.3));
        
        // 3. 启动学习线程
        coordinator.start();
        
        // 4. 创建HTTP服务器
        AllianceServer server(coordinator, 8080);
        server.start();
        cout << "广告联盟服务器已启动，监听端口8080" << endl;
        
        // 5. 模拟交易 (在实际应用中应通过HTTP接口)
        cout << "模拟交易处理..." << endl;
        unordered_map<string, double> contributions = {
            {"pub1", 0.6}, // 发布商贡献60%
            {"dsp1", 0.3},  // DSP贡献30%
            {"data1", 0.1}  // 数据提供商贡献10%
        };
        
        auto tx1 = coordinator.process_transaction(
            {"pub1", "dsp1", "data1"}, 1000.0, contributions);
        cout << "交易1结果: " << tx1->get_info().dump(2) << endl;
        
        // 6. 查看联盟状态
        cout << "联盟状态报告: " << coordinator.get_alliance_report().dump(2) << endl;
        
        // 7. 停止服务
        cout << "按Enter键停止服务器..." << endl;
        cin.get();
        
        server.stop();
        coordinator.stop();
        
    } catch (const exception& e) {
        cerr << "错误: " << e.what() << endl;
        return 1;
    }
    
    return 0;
}

使用说明

功能特点

1. ​​多智能体系统​​：

   • 自主协商决策

   • 个性化策略学习

   • 分布式利益优化

2. ​​动态收益分配​​：

   • 多轮协商机制

   • 贡献度评估

   • 效用最大化

3. ​​自适应学习​​：

   • 在线策略更新

   • 历史数据分析

   • 长期收益优化

4. ​​生产级特性​​：

   • 线程安全设计

   • RESTful API

   • 实时监控

核心组件

1. ​​PartnerAgent​​：

   • 成员智能体实现

   • 收益策略管理

   • 效用计算

2. ​​AdTransaction​​：

   • 交易记录

   • 贡献度跟踪

   • 收益分配

3. ​​AdAllianceCoordinator​​：

   • 联盟协调核心

   • 协商协议

   • 学习机制

4. ​​AllianceServer​​：

   • HTTP接口服务

   • 交易处理

   • 状态查询

使用方法

1. ​​初始化联盟​​：

   AdAllianceCoordinator coordinator;

2. ​​添加成员​​：

   coordinator.add_partner(make_shared<PartnerAgent>("pub1", PartnerType::PUBLISHER, 0.3, 0.7));

3. ​​启动服务​​：

   coordinator.start();
   AllianceServer server(coordinator, 8080);
   server.start();

4. ​​处理交易​​：

   POST /transaction
   {
     "participants": ["pub1", "dsp1"],
     "revenue": 1000.0,
     "contributions": {"pub1": 0.6, "dsp1": 0.4}
   }

5. ​​查询状态​​：

   GET /report

6. ​​停止服务​​：

   server.stop();
   coordinator.stop();

应用场景

1. ​​广告联盟管理​​：

   • 跨平台收益分配

   • 多方协作优化

   • 价值公平分配

2. ​​程序化广告​​：

   • SSP与DSP协作

   • 数据货币化

   • 流量变现优化

3. ​​效果分成​​：

   • 基于贡献的分配

   • 动态调整比例

   • 长期合作关系

技术亮点

1. ​​多智能体系统​​：

   • 自主决策

   • 分布式学习

   • 博弈论应用

2. ​​现代C++​​：

   • 智能指针

   • 多线程

   • RAII管理

3. ​​Boost.Asio​​：

   • 异步网络

   • 高性能IO

   • 跨平台

4. ​​JSON处理​​：

   • nlohmann/json

   • 灵活数据交换

   • 易读性高

扩展建议

1. ​​高级协商​​：

   • 实现拍卖机制

   • 添加信誉系统

   • 支持智能合约

2. ​​监控分析​​：

   • 实时仪表盘

   • 异常检测

   • 预测分析

3. ​​安全机制​​：

   • 身份验证

   • 数据加密

   • 防欺诈检测

4. ​​分布式部署​​：

   • 多节点协同

   • 共识算法

   • 容错机制

这个系统为广告联盟提供了一个智能化的收益分配解决方案，能够公平合理地分配广告收益，激励各方持续贡献，最大化联盟整体效益。