#include "WorkpiecePresenter.h"
#include "VrError.h"
#include "VrLog.h"
#include <QtCore/QCoreApplication>
#include <QtCore/QFileInfo>
#include <QtCore/QDir>
#include <QtCore/QString>
#include <QtCore/QStandardPaths>
#include <QtCore/QFile>
#include <QtCore/QDateTime>
#include <cmath>
#include <algorithm>
#include <QImage>
#include <QThread>
#include <atomic>
#include <QJsonObject>
#include <QJsonArray>

#include "Version.h"
#include "VrTimeUtils.h"
#include "VrDateUtils.h"
#include "SG_baseDataType.h"
#include "VrConvert.h"
#include "TCPServerProtocol.h"
#include "DetectPresenter.h"
#include "PathManager.h"

WorkpiecePresenter::WorkpiecePresenter(QObject *parent)
    : BasePresenter(parent)
    , m_vrConfig(nullptr)
    , m_pDetectPresenter(nullptr)
    , m_pTCPServer(nullptr)
    , m_bTCPConnected(false)
{
    // 基类已经创建了相机重连定时器和检测数据缓存
}

WorkpiecePresenter::~WorkpiecePresenter()
{
    // 基类会自动处理：相机重连定时器、算法检测线程、检测数据缓存、相机设备资源

    // 停止配置管理器
    if (m_pConfigManager) {
        m_pConfigManager->Shutdown();
        m_pConfigManager.reset();
    }

    // 释放TCP服务器
    if (m_pTCPServer) {
        m_pTCPServer->Deinitialize();
        delete m_pTCPServer;
        m_pTCPServer = nullptr;
    }

    // 释放检测处理器
    if(m_pDetectPresenter)
    {
        delete m_pDetectPresenter;
        m_pDetectPresenter = nullptr;
    }

    // 释放配置对象
    if (m_vrConfig) {
        delete m_vrConfig;
        m_vrConfig = nullptr;
    }
}

int WorkpiecePresenter::InitApp()
{
    LOG_DEBUG("Start APP Version: %s\n", WORKPIECE_FULL_VERSION_STRING);

    // 初始化连接状态
    SetWorkStatus(WorkStatus::InitIng);

    m_pDetectPresenter = new DetectPresenter();

    // 获取配置文件路径
    QString configPath = PathManager::GetInstance().GetConfigFilePath();

    int nRet = SUCCESS;

    // 初始化配置管理器（ConfigManager 内部会创建 IVrConfig 实例）
    m_pConfigManager = std::make_unique<ConfigManager>();
    if (!m_pConfigManager->Initialize(configPath.toStdString())) {
        LOG_ERROR("Failed to initialize ConfigManager\n");
        if (auto pStatus = GetStatusCallback<IYWorkpieceStatus>()) pStatus->OnStatusUpdate("配置管理器初始化失败");
        return ERR_CODE(DEV_OPEN_ERR);
    }

    LOG_INFO("ConfigManager initialized successfully\n");

    // 从 ConfigManager 获取配置结果
    ConfigResult configResult = m_pConfigManager->GetConfigResult();

    // 获取 IVrConfig 实例用于配置改变通知
    m_vrConfig = m_pConfigManager->GetVrConfigInstance();

    // 设置配置改变通知回调
    if (m_vrConfig) {
        m_vrConfig->SetConfigChangeNotify(this);
    }


    // 调用基类InitCamera进行相机初始化（bRGB=false, bSwing=true）
    InitCamera(configResult.cameraList, false, true);

    LOG_INFO("Camera initialization completed. Connected cameras: %zu, default camera index: %d\n",
             m_vrEyeDeviceList.size(), m_currentCameraIndex);

    // 初始化TCP服务器
    nRet = InitTCPServer();
    if (nRet != 0) {
        if (auto pStatus = GetStatusCallback<IYWorkpieceStatus>()) pStatus->OnStatusUpdate("TCP服务器初始化失败");
        m_bTCPConnected = false;
    } else {
        if (auto pStatus = GetStatusCallback<IYWorkpieceStatus>()) pStatus->OnStatusUpdate("TCP服务器初始化成功");
    }

    if (auto pStatus = GetStatusCallback<IYWorkpieceStatus>()) pStatus->OnStatusUpdate("设备初始化完成");

    CheckAndUpdateWorkStatus();

    if (auto pStatus = GetStatusCallback<IYWorkpieceStatus>()) pStatus->OnStatusUpdate("配置初始化成功");

    return SUCCESS;
}

// 初始化算法参数（实现BasePresenter纯虚函数）
int WorkpiecePresenter::InitAlgoParams()
{
    LOG_DEBUG("initializing algorithm parameters\n");
    QString exePath = QCoreApplication::applicationFilePath();

    // 清空现有的手眼标定矩阵列表
    m_clibMatrixList.clear();
    
    // 获取手眼标定文件路径并确保文件存在
    QString clibPath = PathManager::GetInstance().GetCalibrationFilePath();
    
    LOG_INFO("Loading hand-eye matrices from: %s\n", clibPath.toStdString().c_str());
    
    // 读取存在的矩阵数量
    int nExistMatrixNum = CVrConvert::GetClibMatrixCount(clibPath.toStdString().c_str());
    LOG_INFO("Found %d hand-eye calibration matrices\n", nExistMatrixNum);
            
    // 循环加载每个矩阵
    for(int matrixIndex = 0; matrixIndex < nExistMatrixNum; matrixIndex++)
    {
        // 构造矩阵标识符
        char matrixIdent[64];
#ifdef _WIN32
        sprintf_s(matrixIdent, "CalibMatrixInfo_%d", matrixIndex);
#else
        sprintf(matrixIdent, "CalibMatrixInfo_%d", matrixIndex);
#endif
        
        // 创建新的标定矩阵结构
        CalibMatrix calibMatrix;
        
        // 初始化为单位矩阵
        double initClibMatrix[16] = {
            1.0, 0.0, 0.0, 0.0,  // 第一行
            0.0, 1.0, 0.0, 0.0,  // 第二行
            0.0, 0.0, 1.0, 0.0,  // 第三行
            0.0, 0.0, 0.0, 1.0   // 第四行
        };
                
        // 加载矩阵数据
        bool loadSuccess = CVrConvert::LoadClibMatrix(clibPath.toStdString().c_str(), matrixIdent, "dCalibMatrix",  calibMatrix.clibMatrix);
        
        if(loadSuccess)
        {
            m_clibMatrixList.push_back(calibMatrix);
            LOG_INFO("Successfully loaded matrix %d\n", matrixIndex);
            
            // 输出矩阵内容
            QString clibMatrixStr;
            LOG_INFO("Matrix %d content:\n", matrixIndex);
            for (int i = 0; i < 4; ++i) {
                clibMatrixStr.clear();
                for (int j = 0; j < 4; ++j) {
                    clibMatrixStr += QString::asprintf("%8.4f ", calibMatrix.clibMatrix[i * 4 + j]);
                }
                LOG_INFO("  %s\n", clibMatrixStr.toStdString().c_str());
            }
        }
        else
        {
            LOG_WARNING("Failed to load matrix %d, using identity matrix\n", matrixIndex);
            // 如果加载失败，使用单位矩阵
            memcpy(calibMatrix.clibMatrix, initClibMatrix, sizeof(initClibMatrix));
            m_clibMatrixList.push_back(calibMatrix);
        }
        
    }
    
    LOG_INFO("Total loaded %zu hand-eye calibration matrices\n", m_clibMatrixList.size());

    // 从 ConfigManager 获取已加载的配置（避免重复加载）
    ConfigResult configResult = m_pConfigManager->GetConfigResult();

    // 如果 ConfigManager 配置无效或 m_vrConfig 为空，尝试直接加载
    if (configResult.cameraList.empty() && m_vrConfig) {
        LOG_WARNING("ConfigResult from ConfigManager is empty, trying direct load\n");
        QString configPath = PathManager::GetInstance().GetConfigFilePath();
        LOG_INFO("Loading config: %s\n", configPath.toStdString().c_str());
        int ret = m_vrConfig->LoadConfig(configPath.toStdString(), configResult);
        if (ret != LOAD_CONFIG_SUCCESS) {
            LOG_ERROR("Failed to load config file directly, error code: %d\n", ret);
        }
    }

    const VrAlgorithmParams& xmlParams = configResult.algorithmParams;
    
    // 保存调试参数
    m_debugParam = configResult.debugParam;

    LOG_INFO("Loaded XML params - Workpiece: lineLen=%.1f\n", xmlParams.workpieceParam.lineLen);
    LOG_INFO("Loaded XML params - Filter: continuityTh=%.1f, outlierTh=%.1f\n", xmlParams.filterParam.continuityTh, xmlParams.filterParam.outlierTh);

    // 直接使用配置结构
    m_algorithmParams = xmlParams;

    LOG_INFO("Algorithm parameters initialized successfully:\n");
    LOG_INFO("  Workpiece: lineLen=%.1f\n",
             m_algorithmParams.workpieceParam.lineLen);

    // 循环打印所有相机的调平参数（添加安全检查）
    LOG_INFO("Loading plane calibration parameters for all cameras:\n");

    if (!m_algorithmParams.planeCalibParam.cameraCalibParams.empty()) {
        for (const auto& cameraParam : m_algorithmParams.planeCalibParam.cameraCalibParams) {
            try {
                LOG_INFO("Camera %d (%s) calibration parameters:\n",
                         cameraParam.cameraIndex, cameraParam.cameraName.c_str());
                LOG_INFO("  Is calibrated: %s\n", cameraParam.isCalibrated ? "YES" : "NO");
                LOG_INFO("  Plane height: %.3f\n", cameraParam.planeHeight);
                LOG_INFO("  Plane calibration matrix:\n");
                LOG_INFO("    [%.3f, %.3f, %.3f]\n", cameraParam.planeCalib[0], cameraParam.planeCalib[1], cameraParam.planeCalib[2]);
                LOG_INFO("    [%.3f, %.3f, %.3f]\n", cameraParam.planeCalib[3], cameraParam.planeCalib[4], cameraParam.planeCalib[5]);
                LOG_INFO("    [%.3f, %.3f, %.3f]\n", cameraParam.planeCalib[6], cameraParam.planeCalib[7], cameraParam.planeCalib[8]);
                LOG_INFO("  Inverse rotation matrix:\n");
                LOG_INFO("    [%.3f, %.3f, %.3f]\n", cameraParam.invRMatrix[0], cameraParam.invRMatrix[1], cameraParam.invRMatrix[2]);
                LOG_INFO("    [%.3f, %.3f, %.3f]\n", cameraParam.invRMatrix[3], cameraParam.invRMatrix[4], cameraParam.invRMatrix[5]);
                LOG_INFO("    [%.3f, %.3f, %.3f]\n", cameraParam.invRMatrix[6], cameraParam.invRMatrix[7], cameraParam.invRMatrix[8]);
                LOG_INFO("  --------------------------------\n");
            } catch (const std::exception& e) {
                LOG_ERROR("Exception while printing camera calibration parameters: %s\n", e.what());
            } catch (...) {
                LOG_ERROR("Unknown exception while printing camera calibration parameters\n");
            }
        }
    } else {
        LOG_WARNING("No plane calibration parameters found in configuration\n");
    }

    
    return SUCCESS;
}

// 手眼标定矩阵管理方法实现
CalibMatrix WorkpiecePresenter::GetClibMatrix(int index) const
{
    CalibMatrix clibMatrix;

    double initClibMatrix[16] = {
        1.0, 0.0, 0.0, 0.0,  // 第一行
        0.0, 1.0, 0.0, 0.0,  // 第二行
        0.0, 0.0, 1.0, 0.0,  // 第三行
        0.0, 0.0, 0.0, 1.0   // 第四行
    };
    memcpy(clibMatrix.clibMatrix, initClibMatrix, sizeof(initClibMatrix));

    if (index >= 0 && index < static_cast<int>(m_clibMatrixList.size())) {
        clibMatrix = m_clibMatrixList[index];
        memcpy(clibMatrix.clibMatrix, m_clibMatrixList[index].clibMatrix, sizeof(initClibMatrix));
    } else {
        LOG_WARNING("Invalid hand-eye calibration matrix\n");
    }

    return clibMatrix;
}


void WorkpiecePresenter::CheckAndUpdateWorkStatus()
{
    if (m_bCameraConnected) {
        SetWorkStatus(WorkStatus::Ready);
    } else {
        SetWorkStatus(WorkStatus::Error);
    }
}

// 实现BasePresenter纯虚函数：执行算法检测
int WorkpiecePresenter::ProcessAlgoDetection(std::vector<std::pair<EVzResultDataType, SVzLaserLineData>>& detectionDataCache)
{
    LOG_INFO("[Algo Thread] Start real detection task using algorithm\n");

    // 1. 获取缓存的点云数据（已由基类验证非空）
    unsigned int lineNum = detectionDataCache.size();
    if(GetStatusCallback<IYWorkpieceStatus>()){
        if (auto pStatus = GetStatusCallback<IYWorkpieceStatus>()) pStatus->OnStatusUpdate("扫描线数:" + std::to_string(lineNum) + "，正在算法检测...");
    }

    // 检查检测处理器是否已初始化
    if (!m_pDetectPresenter) {
        LOG_ERROR("DetectPresenter is null, cannot proceed with detection\n");
        if (GetStatusCallback<IYWorkpieceStatus>()) {
            if (auto pStatus = GetStatusCallback<IYWorkpieceStatus>()) pStatus->OnStatusUpdate("检测处理器未初始化");
        }
        return ERR_CODE(DEV_NOT_FIND);
    }

    CVrTimeUtils oTimeUtils;

    // 获取当前使用的手眼标定矩阵
    const CalibMatrix currentClibMatrix = GetClibMatrix(m_currentCameraIndex - 1);

    DetectionResult detectionResult;

    int nRet = m_pDetectPresenter->DetectWorkpiece(m_currentCameraIndex, detectionDataCache,
                                m_algorithmParams, m_debugParam, m_dataLoader,
                                currentClibMatrix.clibMatrix, detectionResult);
    // 根据项目类型选择处理方式
    if (GetStatusCallback<IYWorkpieceStatus>()) {
        QString err = QString("错误:%1").arg(nRet);
        if (auto pStatus = GetStatusCallback<IYWorkpieceStatus>()) pStatus->OnStatusUpdate(QString("检测%1").arg(SUCCESS == nRet ? "成功": err).toStdString());
    }

    LOG_INFO("[Algo Thread] sx_getWorkpiecePostion detected %zu objects time : %.2f ms\n", detectionResult.positions.size(), oTimeUtils.GetElapsedTimeInMilliSec());
    ERR_CODE_RETURN(nRet);

    // 8. 通知UI检测结果
    detectionResult.cameraIndex = m_currentCameraIndex;
    if (auto pStatus = GetStatusCallback<IYWorkpieceStatus>()) {
        pStatus->OnDetectionResult(detectionResult);
    }

    // 更新状态
    QString statusMsg = QString("检测完成，发现%1个目标").arg(detectionResult.positions.size());
    if (auto pStatus = GetStatusCallback<IYWorkpieceStatus>()) pStatus->OnStatusUpdate(statusMsg.toStdString());

    // 发送检测结果给TCP客户端
    _SendDetectionResultToTCP(detectionResult, m_currentCameraIndex);

    // 9. 检测完成后，将工作状态更新为"完成"
    SetWorkStatus(WorkStatus::Completed);

    // 恢复到就绪状态
    SetWorkStatus(WorkStatus::Ready);

    return SUCCESS;
}


// 实现配置改变通知接口
void WorkpiecePresenter::OnConfigChanged(const ConfigResult& configResult)
{
    LOG_INFO("Configuration changed notification received, reloading algorithm parameters\n");
    
    // 更新调试参数
    m_debugParam = configResult.debugParam;
    
    // 重新初始化算法参数
    int result = InitAlgoParams();
    if (result == SUCCESS) {
        LOG_INFO("Algorithm parameters reloaded successfully after config change\n");
        if (GetStatusCallback<IYWorkpieceStatus>()) {
            if (auto pStatus = GetStatusCallback<IYWorkpieceStatus>()) pStatus->OnStatusUpdate("配置已更新，算法参数重新加载成功");
        }
    } else {
        LOG_ERROR("Failed to reload algorithm parameters after config change, error: %d\n", result);
        if (GetStatusCallback<IYWorkpieceStatus>()) {
            if (auto pStatus = GetStatusCallback<IYWorkpieceStatus>()) pStatus->OnStatusUpdate("配置更新后算法参数重新加载失败");
        }
    }
}

// 根据相机索引获取调平参数
SSG_planeCalibPara WorkpiecePresenter::_GetCameraCalibParam(int cameraIndex)
{
    // 查找指定相机索引的调平参数
    SSG_planeCalibPara calibParam;

    // 使用单位矩阵（未校准状态）
    double identityMatrix[9] = {1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0};
    for (int i = 0; i < 9; i++) {
        calibParam.planeCalib[i] = identityMatrix[i];
        calibParam.invRMatrix[i] = identityMatrix[i];
    }
    calibParam.planeHeight = -1.0;  // 使用默认高度
    
    for (const auto& cameraParam : m_algorithmParams.planeCalibParam.cameraCalibParams) {
        if (cameraParam.cameraIndex == cameraIndex) {
            
            // 根据isCalibrated标志决定使用标定矩阵还是单位矩阵
            if (cameraParam.isCalibrated) {
                // 使用实际的标定矩阵
                for (int i = 0; i < 9; i++) {
                    calibParam.planeCalib[i] = cameraParam.planeCalib[i];
                    calibParam.invRMatrix[i] = cameraParam.invRMatrix[i];
                }
                calibParam.planeHeight = cameraParam.planeHeight;            
            } 
        }
    }
    return calibParam;
}

// 实现IConfigChangeListener接口
void WorkpiecePresenter::OnSystemConfigChanged(const SystemConfig& config)
{
    LOG_INFO("System configuration changed, applying new configuration\n");
    
    // 更新内部配置状态
    if (m_vrConfig) {
        // 可以选择性地重新初始化算法参数
        InitAlgoParams();
    }
    
    if (GetStatusCallback<IYWorkpieceStatus>()) {
        if (auto pStatus = GetStatusCallback<IYWorkpieceStatus>()) pStatus->OnStatusUpdate("系统配置已更新");
    }
}

void WorkpiecePresenter::OnCameraParamChanged(int cameraIndex, const CameraUIParam& cameraParam)
{
    LOG_INFO("Camera %d parameters changed: expose=%.2f, gain=%.2f, frameRate=%.2f\n", 
             cameraIndex, cameraParam.exposeTime, cameraParam.gain, cameraParam.frameRate);
    
    // 应用相机参数到实际设备
    if (cameraIndex >= 1 && cameraIndex <= static_cast<int>(m_vrEyeDeviceList.size())) {
        IVrEyeDevice* device = m_vrEyeDeviceList[cameraIndex - 1].second;
        if (device) {
            
            // 设置曝光时间
            if (cameraParam.exposeTime > 0) {
                unsigned int exposeTime = static_cast<unsigned int>(cameraParam.exposeTime);
                int ret = device->SetEyeExpose(exposeTime);
                if (ret == SUCCESS) {
                    LOG_INFO("Set expose time %.2f for camera %d successfully\n", cameraParam.exposeTime, cameraIndex);
                } else {
                    LOG_ERROR("Failed to set expose time for camera %d, error: %d\n", cameraIndex, ret);
                }
            }
            
            // 设置增益
            if (cameraParam.gain > 0) {
                unsigned int gain = static_cast<unsigned int>(cameraParam.gain);
                int ret = device->SetEyeGain(gain);
                if (ret == SUCCESS) {
                    LOG_INFO("Set gain %.2f for camera %d successfully\n", cameraParam.gain, cameraIndex);
                } else {
                    LOG_ERROR("Failed to set gain for camera %d, error: %d\n", cameraIndex, ret);
                }
            }
            
            // 设置帧率
            if (cameraParam.frameRate > 0) {
                int frameRate = static_cast<int>(cameraParam.frameRate);
                int ret = device->SetFrame(frameRate);
                if (ret == SUCCESS) {
                    LOG_INFO("Set frame rate %.2f for camera %d successfully\n", cameraParam.frameRate, cameraIndex);
                } else {
                    LOG_ERROR("Failed to set frame rate for camera %d, error: %d\n", cameraIndex, ret);
                }
            }
            
            // 设置摆动速度
            if (cameraParam.swingSpeed > 0) {
                float swingSpeed = static_cast<float>(cameraParam.swingSpeed);
                int ret = device->SetSwingSpeed(swingSpeed);
                if (ret == SUCCESS) {
                    LOG_INFO("Set swing speed %.2f for camera %d successfully\n", cameraParam.swingSpeed, cameraIndex);
                } else {
                    LOG_ERROR("Failed to set swing speed for camera %d, error: %d\n", cameraIndex, ret);
                }
            }
            
            // 设置摆动角度
            if (cameraParam.swingStartAngle != cameraParam.swingStopAngle) {
                float startAngle = static_cast<float>(cameraParam.swingStartAngle);
                float stopAngle = static_cast<float>(cameraParam.swingStopAngle);
                int ret = device->SetSwingAngle(startAngle, stopAngle);
                if (ret == SUCCESS) {
                    LOG_INFO("Set swing angle %.2f-%.2f for camera %d successfully\n", 
                             cameraParam.swingStartAngle, cameraParam.swingStopAngle, cameraIndex);
                } else {
                    LOG_ERROR("Failed to set swing angle for camera %d, error: %d\n", cameraIndex, ret);
                }
            }
        }
    }
    
    if (GetStatusCallback<IYWorkpieceStatus>()) {
        QString cameraName = (cameraIndex >= 1 && cameraIndex <= static_cast<int>(m_vrEyeDeviceList.size())) ? 
            QString::fromStdString(m_vrEyeDeviceList[cameraIndex - 1].first) : QString("相机%1").arg(cameraIndex);
        if (auto pStatus = GetStatusCallback<IYWorkpieceStatus>()) pStatus->OnStatusUpdate(QString("%1参数已更新").arg(cameraName).toStdString());
    }
}

void WorkpiecePresenter::OnAlgorithmParamChanged(const VrAlgorithmParams& algorithmParams)
{
    LOG_INFO("Algorithm parameters changed, updating internal configuration\n");

    // 直接更新算法参数
    m_algorithmParams = algorithmParams;

    LOG_INFO("Updated algorithm parameters:\n");
    LOG_INFO("  Workpiece: lineLen=%.1f\n",
             m_algorithmParams.workpieceParam.lineLen);
    LOG_INFO("  TreeGrow: yDeviation_max=%.1f, zDeviation_max=%.1f, maxLineSkipNum=%d\n",
             m_algorithmParams.growParam.yDeviation_max, m_algorithmParams.growParam.zDeviation_max, m_algorithmParams.growParam.maxLineSkipNum);
    LOG_INFO("  Corner: cornerTh=%.3f, jumpCornerTh_1=%.3f, jumpCornerTh_2=%.3f\n",
             m_algorithmParams.cornerParam.cornerTh, m_algorithmParams.cornerParam.jumpCornerTh_1, m_algorithmParams.cornerParam.jumpCornerTh_2);

    if (GetStatusCallback<IYWorkpieceStatus>()) {
        if (auto pStatus = GetStatusCallback<IYWorkpieceStatus>()) pStatus->OnStatusUpdate("算法参数已更新");
    }
}

// 实现BasePresenter纯虚函数：相机状态变化通知
void WorkpiecePresenter::OnCameraStatusChanged(int cameraIndex, bool isConnected)
{
    LOG_INFO("Camera %d status changed: %s\n", cameraIndex, isConnected ? "connected" : "disconnected");

    // 通知UI更新相机状态
    if (GetStatusCallback<IYWorkpieceStatus>()) {
        if (cameraIndex == 1) {
            if (auto pStatus = GetStatusCallback<IYWorkpieceStatus>()) pStatus->OnCamera1StatusChanged(isConnected);
        } else if (cameraIndex == 2) {
            if (auto pStatus = GetStatusCallback<IYWorkpieceStatus>()) pStatus->OnCamera2StatusChanged(isConnected);
        }

        // 获取相机名称用于状态消息
        QString cameraName;
        int arrayIndex = cameraIndex - 1;
        if (arrayIndex >= 0 && arrayIndex < static_cast<int>(m_vrEyeDeviceList.size())) {
            cameraName = QString::fromStdString(m_vrEyeDeviceList[arrayIndex].first);
        } else {
            cameraName = QString("相机%1").arg(cameraIndex);
        }

        QString statusMsg = QString("%1%2").arg(cameraName).arg(isConnected ? "已连接" : "已断开");
        if (auto pStatus = GetStatusCallback<IYWorkpieceStatus>()) pStatus->OnStatusUpdate(statusMsg.toStdString());
    }

    // 检查并更新工作状态
    CheckAndUpdateWorkStatus();
}

// 实现BasePresenter虚函数：工作状态变化通知
void WorkpiecePresenter::OnWorkStatusChanged(WorkStatus status)
{
    auto pStatus = GetStatusCallback<IYWorkpieceStatus>();
    if (pStatus) {
        pStatus->OnWorkStatusChanged(status);
    }
}


// 实现BasePresenter虚函数：相机数量变化通知
void WorkpiecePresenter::OnCameraCountChanged(int count)
{
    auto pStatus = GetStatusCallback<IYWorkpieceStatus>();
    if (pStatus) {
        pStatus->OnCameraCountChanged(count);
    }
}

// 实现BasePresenter虚函数：状态文字更新通知
void WorkpiecePresenter::OnStatusUpdate(const std::string& statusMessage)
{
    auto pStatus = GetStatusCallback<IYWorkpieceStatus>();
    if (pStatus) {
        pStatus->OnStatusUpdate(statusMessage);
    }
}