710 lines
25 KiB
C++
710 lines
25 KiB
C++
#include "BasePresenter.h"
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#include "VrLog.h"
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#include "VrError.h"
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#include <fstream>
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#include <QFileInfo>
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#include <QString>
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#include "PathManager.h"
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BasePresenter::BasePresenter(QObject *parent)
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: QObject(parent)
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, m_currentCameraIndex(0)
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, m_bCameraConnected(false)
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, m_bAlgoDetectThreadRunning(false)
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, m_pCameraReconnectTimer(nullptr)
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{
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// 创建相机重连定时器
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m_pCameraReconnectTimer = new QTimer(this);
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m_pCameraReconnectTimer->setInterval(2000); // 默认2秒
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connect(m_pCameraReconnectTimer, &QTimer::timeout, this, &BasePresenter::OnCameraReconnectTimer);
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}
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BasePresenter::~BasePresenter()
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{
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// 停止检测线程
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StopAlgoDetectThread();
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// 停止重连定时器
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StopCameraReconnectTimer();
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// 清理相机设备
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for (auto& camera : m_vrEyeDeviceList) {
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if (camera.second) {
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camera.second->CloseDevice();
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delete camera.second;
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camera.second = nullptr;
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}
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}
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m_vrEyeDeviceList.clear();
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}
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int BasePresenter::Init(const std::string &sName)
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{
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LOG_INFO("BasePresenter::Init()\n");
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// 初始化 PathManager 单例
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PathManager::Initialize(sName);
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int nRet = SUCCESS;
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nRet = InitApp();
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ERR_CODE_RETURN(nRet);
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// 初始化算法参数
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nRet = InitAlgoParams();
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LOG_INFO("Algorithm parameters initialization result : %d\n", nRet);
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return nRet;
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}
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int BasePresenter::StartDetection(int cameraIndex, bool isAuto)
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{
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LOG_INFO("[BasePresenter] StartDetection - cameraIndex=%d, isAuto=%d\n", cameraIndex, isAuto);
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// 设置当前相机索引
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if (cameraIndex >= 0 && cameraIndex != -1) {
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m_currentCameraIndex = cameraIndex;
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}
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int currentCamera = m_currentCameraIndex;
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// 检查相机列表是否为空
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if (m_vrEyeDeviceList.empty()) {
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LOG_ERROR("[BasePresenter] No camera device found\n");
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return ERR_CODE(DEV_NOT_FIND);
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}
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// 清空检测数据缓存
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ClearDetectionDataCache();
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int nRet = SUCCESS;
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// 启动指定相机（cameraIndex为相机ID，从1开始编号）
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int arrayIndex = currentCamera - 1; // 转换为数组索引（从0开始）
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// 检查相机是否连接
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if (arrayIndex < 0 || arrayIndex >= static_cast<int>(m_vrEyeDeviceList.size()) ||
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m_vrEyeDeviceList[arrayIndex].second == nullptr) {
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LOG_ERROR("[BasePresenter] Camera %d is not connected or invalid\n", currentCamera);
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return ERR_CODE(DEV_NOT_FIND);
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}
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IVrEyeDevice* pDevice = m_vrEyeDeviceList[arrayIndex].second;
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// 获取数据类型（由子类决定）
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EVzResultDataType eDataType = GetDetectionDataType();
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// 设置状态回调
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VzNL_OnNotifyStatusCBEx statusCallback = GetCameraStatusCallback();
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pDevice->SetStatusCallback(statusCallback, this);
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// 获取检测回调函数（由子类提供）
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VzNL_AutoOutputLaserLineExCB detectCallback = GetDetectionCallback();
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// 开始检测
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nRet = pDevice->StartDetect(detectCallback, eDataType, this);
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LOG_INFO("[BasePresenter] Camera %d start detection result: %d\n", currentCamera, nRet);
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if (nRet == SUCCESS) {
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// 启动算法检测线程
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StartAlgoDetectThread();
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}
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return nRet;
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}
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int BasePresenter::StopDetection()
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{
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LOG_INFO("[BasePresenter] StopDetection\n");
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// 停止所有相机的检测
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for (size_t i = 0; i < m_vrEyeDeviceList.size(); ++i) {
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IVrEyeDevice* pDevice = m_vrEyeDeviceList[i].second;
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if (pDevice) {
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int ret = pDevice->StopDetect();
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if (ret == 0) {
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LOG_INFO("[BasePresenter] Camera %zu stop detection successfully\n", i + 1);
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} else {
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LOG_WARNING("[BasePresenter] Camera %zu stop detection failed, error code: %d\n", i + 1, ret);
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}
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}
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}
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// 停止算法检测线程
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StopAlgoDetectThread();
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return SUCCESS;
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}
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int BasePresenter::GetDetectionDataCacheSize() const
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{
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std::lock_guard<std::mutex> lock(const_cast<std::mutex&>(m_detectionDataMutex));
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return static_cast<int>(m_detectionDataCache.size());
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}
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int BasePresenter::SaveDetectionDataToFile(const std::string& filePath)
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{
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LOG_INFO("[BasePresenter] 保存检测数据到文件: %s\n", filePath.c_str());
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std::lock_guard<std::mutex> lock(m_detectionDataMutex);
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if(m_detectionDataCache.empty()){
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LOG_WARNING("[BasePresenter] 检测数据缓存为空，无数据可保存\n");
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return ERR_CODE(DATA_ERR_INVALID);
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}
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int lineNum = static_cast<int>(m_detectionDataCache.size());
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float scanSpeed = 0.0f;
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int maxTimeStamp = 0;
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int clockPerSecond = 0;
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int result = m_dataLoader.SaveLaserScanData(filePath, m_detectionDataCache, lineNum, scanSpeed, maxTimeStamp, clockPerSecond);
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if (result == SUCCESS) {
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LOG_INFO("[BasePresenter] 成功保存 %d 行检测数据到文件: %s\n", lineNum, filePath.c_str());
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} else {
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LOG_ERROR("[BasePresenter] 保存检测数据失败，错误: %s\n", m_dataLoader.GetLastError().c_str());
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}
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return result;
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}
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int BasePresenter::LoadDebugDataAndDetect(const std::string& filePath)
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{
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LOG_INFO("[BasePresenter] Loading debug data from file: %s\n", filePath.c_str());
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std::string fileName = QFileInfo(QString::fromStdString(filePath)).fileName().toStdString();
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OnStatusUpdate(QString("加载文件:%1").arg(fileName.c_str()).toStdString());
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SetWorkStatus(WorkStatus::Working);
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int lineNum = 0;
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float scanSpeed = 0.0f;
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int maxTimeStamp = 0;
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int clockPerSecond = 0;
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int result = SUCCESS;
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// 1. 清空现有的检测数据缓存
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ClearDetectionDataCache();
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// 2. 加载数据到缓存
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{
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std::lock_guard<std::mutex> lock(m_detectionDataMutex);
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result = m_dataLoader.LoadLaserScanData(filePath, m_detectionDataCache, lineNum, scanSpeed, maxTimeStamp, clockPerSecond);
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}
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LOG_DEBUG("\n");
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if (result != SUCCESS) {
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LOG_ERROR("[BasePresenter] 加载调试数据失败: %s\n", m_dataLoader.GetLastError().c_str());
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OnStatusUpdate("调试数据加载失败");
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return result;
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}
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OnStatusUpdate(QString("成功加载 %1 行调试数据").arg(lineNum).toStdString());
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LOG_INFO("[BasePresenter] 成功加载 %d 行调试数据\n", lineNum);
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// 3. 执行检测任务
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result = DetectTask();
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return result;
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}
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void BasePresenter::SetCameraStatusCallback(VzNL_OnNotifyStatusCBEx fNotify, void* param)
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{
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for (size_t i = 0; i < m_vrEyeDeviceList.size(); i++) {
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IVrEyeDevice* pDevice = m_vrEyeDeviceList[i].second;
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if (pDevice) {
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pDevice->SetStatusCallback(fNotify, param);
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LOG_DEBUG("[BasePresenter] Status callback set for camera %zu\n", i + 1);
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}
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}
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}
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void BasePresenter::SetWorkStatus(WorkStatus status)
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{
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if (m_currentWorkStatus != status) {
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m_currentWorkStatus = status;
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LOG_INFO("[BasePresenter] Work status changed to: %s\n", WorkStatusToString(status).c_str());
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// 调用虚函数通知子类，子类可以在此调用UI回调
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OnWorkStatusChanged(status);
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}
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}
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// ============ InitCamera 完整实现 ============
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int BasePresenter::InitCamera(std::vector<DeviceInfo>& cameraList, bool bRGB, bool bSwing)
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{
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LOG_INFO("[BasePresenter] InitCamera\n");
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m_bRGB = bRGB;
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m_bSwing = bSwing;
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// 保存相机配置信息，用于重连尝试
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m_expectedList = cameraList;
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// 通知UI相机个数
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int cameraCount = cameraList.size();
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OnCameraCountChanged(cameraCount);
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// 初始化相机列表，预分配空间
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m_vrEyeDeviceList.resize(cameraCount, std::make_pair("", nullptr));
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for(int i = 0; i < cameraCount; i++)
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{
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m_vrEyeDeviceList[i] = std::make_pair(cameraList[i].name, nullptr);
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}
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LOG_INFO("[BasePresenter] camera count : %d\n", cameraCount);
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// 尝试初始化所有相机
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bool allCamerasConnected = true;
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if(cameraCount > 0){
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// 循环打开所有配置的相机
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for (int i = 0; i < cameraCount; i++) {
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int cameraIndex = i + 1; // 相机索引从1开始
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int nRet = OpenDevice(cameraIndex, cameraList[i].name.c_str(), cameraList[i].ip.c_str(), bRGB, bSwing);
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bool isConnected = (nRet == SUCCESS);
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// 通知相机状态变化
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OnCameraStatusChanged(cameraIndex, isConnected);
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if (!isConnected) {
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allCamerasConnected = false;
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LOG_WARNING("[BasePresenter] 相机%d (%s) 连接失败\n", cameraIndex, cameraList[i].name.c_str());
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} else {
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LOG_INFO("[BasePresenter] 相机%d (%s) 连接成功\n", cameraIndex, cameraList[i].name.c_str());
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}
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}
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} else {
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// 没有配置相机，创建一个默认项
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m_vrEyeDeviceList.resize(1, std::make_pair("", nullptr));
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DeviceInfo devInfo;
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devInfo.index = 1;
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devInfo.ip = "";
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devInfo.name = "相机";
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m_expectedList.push_back(devInfo);
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int nRet = OpenDevice(1, "相机", nullptr, bRGB, bSwing);
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if (nRet != SUCCESS) {
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allCamerasConnected = false;
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}
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// 通知相机状态变化
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OnCameraStatusChanged(1, SUCCESS == nRet);
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}
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// 检查连接状态
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int connectedCount = 0;
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for (const auto& device : m_vrEyeDeviceList) {
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if (device.second != nullptr) {
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connectedCount++;
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}
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}
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m_bCameraConnected = (connectedCount > 0); // 至少有一个相机连接成功
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// 设置默认相机索引为第一个连接的相机
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m_currentCameraIndex = 1; // 默认从1开始
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for (int i = 0; i < static_cast<int>(m_vrEyeDeviceList.size()); i++) {
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if (m_vrEyeDeviceList[i].second != nullptr) {
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m_currentCameraIndex = i + 1; // 找到第一个连接的相机
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break;
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}
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}
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LOG_INFO("[BasePresenter] 相机初始化完成: %d/%d 台相机连接成功, 默认相机索引: %d\n",
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connectedCount, m_expectedList.size(), m_currentCameraIndex);
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// 如果不是所有期望的相机都连接成功，启动重连定时器
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if (!allCamerasConnected && !m_expectedList.empty()) {
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LOG_INFO("[BasePresenter] 部分相机未连接 (%d/%d)，启动重连定时器\n", connectedCount, m_expectedList.size());
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StartCameraReconnectTimer();
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} else if (allCamerasConnected) {
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LOG_INFO("[BasePresenter] 所有相机连接成功\n");
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// 确保定时器停止
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StopCameraReconnectTimer();
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} else {
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LOG_WARNING("[BasePresenter] 没有配置相机 (expectedCount=%d)\n", m_expectedList.size());
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}
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return SUCCESS;
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}
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// ============ OpenDevice 完整实现 ============
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int BasePresenter::OpenDevice(int cameraIndex, const char* cameraName, const char* cameraIp, bool bRGB, bool bSwing)
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{
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LOG_INFO("[BasePresenter] OpenDevice - index %d (%s, %s)\n", cameraIndex, cameraName, cameraIp ? cameraIp : "NULL");
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// 1. 创建相机设备对象
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IVrEyeDevice* pDevice = nullptr;
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IVrEyeDevice::CreateObject(&pDevice);
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if (!pDevice) {
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LOG_ERROR("[BasePresenter] Failed to create IVrEyeDevice object\n");
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return ERR_CODE(DEV_OPEN_ERR);
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}
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// 2. 初始化设备
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int nRet = pDevice->InitDevice();
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if(nRet != SUCCESS){
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delete pDevice;
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LOG_ERROR("[BasePresenter] InitDevice failed, error code: %d\n", nRet);
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}
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ERR_CODE_RETURN(nRet);
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// 3. 打开相机设备
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nRet = pDevice->OpenDevice(cameraIp, bRGB, bSwing);
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LOG_INFO("[BasePresenter] OpenDevice camera %d (%s/%s) result: %d \n", cameraIndex,
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bRGB ? "RGB" : "Normal", bSwing ? "Swing" : "Normal", nRet);
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// 4. 处理打开结果
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bool cameraConnected = (SUCCESS == nRet);
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if(!cameraConnected){
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delete pDevice; // 释放失败的设备
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pDevice = nullptr;
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} else {
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// 设置状态回调（调用子类提供的回调函数）
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VzNL_OnNotifyStatusCBEx callback = GetCameraStatusCallback();
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nRet = pDevice->SetStatusCallback(callback, this);
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LOG_DEBUG("[BasePresenter] SetStatusCallback result: %d\n", nRet);
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if (nRet != SUCCESS) {
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delete pDevice;
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pDevice = nullptr;
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}
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}
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LOG_DEBUG("[BasePresenter] Camera %d (%s) connected %s\n", cameraIndex, cameraName, cameraConnected ? "success" : "failed");
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// 6. 存储到设备列表
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int arrIdx = cameraIndex - 1;
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if(m_vrEyeDeviceList.size() > static_cast<size_t>(arrIdx)){
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m_vrEyeDeviceList[arrIdx] = std::make_pair(cameraName, pDevice);
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} else {
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LOG_WARNING("[BasePresenter] Camera index %d out of range, list size: %zu\n", cameraIndex, m_vrEyeDeviceList.size());
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}
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return nRet;
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}
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// ============ AlgoDetectThreadFunc 实现 ============
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void BasePresenter::AlgoDetectThreadFunc()
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{
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LOG_INFO("[BasePresenter] 算法检测线程启动\n");
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while(m_bAlgoDetectThreadRunning)
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{
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std::unique_lock<std::mutex> lock(m_algoDetectMutex);
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// 等待检测触发（子类需要调用 m_algoDetectCondition.notify_one() 来触发）
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m_algoDetectCondition.wait(lock);
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if(!m_bAlgoDetectThreadRunning){
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break;
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}
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LOG_INFO("[BasePresenter] 检测线程被唤醒，开始执行检测任务\n");
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// 执行检测任务
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int nRet = DetectTask();
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if(nRet != SUCCESS){
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LOG_ERROR("[BasePresenter] 检测任务执行失败，错误码: %d\n", nRet);
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} else {
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LOG_INFO("[BasePresenter] 检测任务执行成功\n");
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}
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}
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LOG_INFO("[BasePresenter] 算法检测线程退出\n");
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}
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// ============ DetectTask 实现 ============
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int BasePresenter::DetectTask()
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{
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LOG_INFO("[BasePresenter] DetectTask - 开始执行检测任务\n");
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// 1. 验证检测数据缓存
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{
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std::lock_guard<std::mutex> lock(m_detectionDataMutex);
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if (m_detectionDataCache.empty()) {
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LOG_WARNING("[BasePresenter] 检测数据缓存为空\n");
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return ERR_CODE(DEV_DATA_INVALID);
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}
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LOG_INFO("[BasePresenter] 检测数据缓存大小: %zu\n", m_detectionDataCache.size());
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}
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// 2. 调用子类实现的算法检测，传入缓存数据引用
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LOG_INFO("[BasePresenter] 调用 ProcessAlgoDetection 执行算法检测\n");
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int nRet = ProcessAlgoDetection(m_detectionDataCache);
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if (nRet != SUCCESS) {
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LOG_ERROR("[BasePresenter] ProcessAlgoDetection 执行失败，错误码: %d\n", nRet);
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return nRet;
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}
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LOG_INFO("[BasePresenter] DetectTask - 检测任务执行成功\n");
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return SUCCESS;
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}
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void BasePresenter::StartAlgoDetectThread()
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{
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if (m_bAlgoDetectThreadRunning) {
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LOG_WARNING("[BasePresenter] 算法检测线程已经在运行\n");
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return;
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}
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m_bAlgoDetectThreadRunning = true;
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// 启动检测线程
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m_algoDetectThread = std::thread(&BasePresenter::AlgoDetectThreadFunc, this);
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m_algoDetectThread.detach(); // 分离线程，让其独立运行
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LOG_INFO("[BasePresenter] 算法检测线程已启动\n");
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}
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void BasePresenter::StopAlgoDetectThread()
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{
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if (!m_bAlgoDetectThreadRunning) {
|
||
return;
|
||
}
|
||
|
||
LOG_INFO("[BasePresenter] 正在停止算法检测线程...\n");
|
||
|
||
m_bAlgoDetectThreadRunning = false;
|
||
|
||
// 唤醒可能在等待的线程
|
||
m_algoDetectCondition.notify_all();
|
||
|
||
// 注意：因为线程使用了 detach()，所以不需要 join()
|
||
|
||
LOG_INFO("[BasePresenter] 算法检测线程已停止\n");
|
||
}
|
||
|
||
void BasePresenter::ClearDetectionDataCache()
|
||
{
|
||
std::lock_guard<std::mutex> lock(m_detectionDataMutex);
|
||
m_detectionDataCache.clear();
|
||
LOG_DEBUG("[BasePresenter] 检测数据缓存已清空\n");
|
||
}
|
||
|
||
void BasePresenter::AddDetectionDataToCache(EVzResultDataType dataType, const SVzLaserLineData& laserData)
|
||
{
|
||
std::lock_guard<std::mutex> lock(m_detectionDataMutex);
|
||
m_detectionDataCache.push_back(std::make_pair(dataType, laserData));
|
||
}
|
||
|
||
// 通用的静态检测数据回调函数实现
|
||
void BasePresenter::_StaticDetectionCallback(EVzResultDataType eDataType, SVzLaserLineData* pLaserLinePoint, void* pUserData)
|
||
{
|
||
// 验证输入参数
|
||
if (!pLaserLinePoint) {
|
||
LOG_WARNING("[BasePresenter Detection Callback] pLaserLinePoint is null\n");
|
||
return;
|
||
}
|
||
|
||
if (pLaserLinePoint->nPointCount <= 0) {
|
||
LOG_WARNING("[BasePresenter Detection Callback] Point count is zero or negative: %d\n", pLaserLinePoint->nPointCount);
|
||
return;
|
||
}
|
||
|
||
if (!pLaserLinePoint->p3DPoint) {
|
||
LOG_WARNING("[BasePresenter Detection Callback] p3DPoint is null\n");
|
||
return;
|
||
}
|
||
|
||
// 获取 BasePresenter 实例指针
|
||
BasePresenter* pThis = reinterpret_cast<BasePresenter*>(pUserData);
|
||
if (!pThis) {
|
||
LOG_ERROR("[BasePresenter Detection Callback] pUserData is null\n");
|
||
return;
|
||
}
|
||
|
||
// 创建 SVzLaserLineData 副本
|
||
SVzLaserLineData lineData;
|
||
memset(&lineData, 0, sizeof(SVzLaserLineData));
|
||
|
||
// 根据数据类型分配和复制点云数据
|
||
if (eDataType == keResultDataType_Position) {
|
||
// 复制 SVzNL3DPosition 数据
|
||
if (pLaserLinePoint->p3DPoint && pLaserLinePoint->nPointCount > 0) {
|
||
lineData.p3DPoint = new SVzNL3DPosition[pLaserLinePoint->nPointCount];
|
||
if (lineData.p3DPoint) {
|
||
memcpy(lineData.p3DPoint, pLaserLinePoint->p3DPoint, sizeof(SVzNL3DPosition) * pLaserLinePoint->nPointCount);
|
||
}
|
||
lineData.p2DPoint = new SVzNL2DPosition[pLaserLinePoint->nPointCount];
|
||
if (lineData.p2DPoint) {
|
||
memcpy(lineData.p2DPoint, pLaserLinePoint->p2DPoint, sizeof(SVzNL2DPosition) * pLaserLinePoint->nPointCount);
|
||
}
|
||
}
|
||
} else if (eDataType == keResultDataType_PointXYZRGBA) {
|
||
// 复制 SVzNLPointXYZRGBA 数据
|
||
if (pLaserLinePoint->p3DPoint && pLaserLinePoint->nPointCount > 0) {
|
||
lineData.p3DPoint = new SVzNLPointXYZRGBA[pLaserLinePoint->nPointCount];
|
||
if (lineData.p3DPoint) {
|
||
memcpy(lineData.p3DPoint, pLaserLinePoint->p3DPoint, sizeof(SVzNLPointXYZRGBA) * pLaserLinePoint->nPointCount);
|
||
}
|
||
lineData.p2DPoint = new SVzNL2DLRPoint[pLaserLinePoint->nPointCount];
|
||
if (lineData.p2DPoint) {
|
||
memcpy(lineData.p2DPoint, pLaserLinePoint->p2DPoint, sizeof(SVzNL2DLRPoint) * pLaserLinePoint->nPointCount);
|
||
}
|
||
}
|
||
}
|
||
|
||
// 复制其他字段
|
||
lineData.nPointCount = pLaserLinePoint->nPointCount;
|
||
lineData.llTimeStamp = pLaserLinePoint->llTimeStamp;
|
||
lineData.llFrameIdx = pLaserLinePoint->llFrameIdx;
|
||
lineData.nEncodeNo = pLaserLinePoint->nEncodeNo;
|
||
lineData.fSwingAngle = pLaserLinePoint->fSwingAngle;
|
||
lineData.bEndOnceScan = pLaserLinePoint->bEndOnceScan;
|
||
|
||
// 添加到检测数据缓存
|
||
pThis->AddDetectionDataToCache(eDataType, lineData);
|
||
}
|
||
|
||
// 通用的静态相机状态回调函数实现
|
||
void BasePresenter::_StaticCameraStatusCallback(EVzDeviceWorkStatus eStatus, void* pExtData, unsigned int nDataLength, void* pInfoParam)
|
||
{
|
||
LOG_DEBUG("[BasePresenter Camera Status Callback] received: status=%d\n", (int)eStatus);
|
||
|
||
// 获取 BasePresenter 实例指针
|
||
BasePresenter* pThis = reinterpret_cast<BasePresenter*>(pInfoParam);
|
||
if (!pThis) {
|
||
LOG_ERROR("[BasePresenter Camera Status Callback] pInfoParam is null\n");
|
||
return;
|
||
}
|
||
|
||
switch (eStatus) {
|
||
case EVzDeviceWorkStatus::keDeviceWorkStatus_Offline:
|
||
{
|
||
LOG_WARNING("[BasePresenter Camera Status Callback] Camera device offline/disconnected\n");
|
||
|
||
// 更新相机连接状态
|
||
pThis->m_bCameraConnected = false;
|
||
|
||
// 通知子类相机状态变更（这里暂时通知相机1，实际应用中可能需要区分）
|
||
pThis->OnCameraStatusChanged(1, false);
|
||
break;
|
||
}
|
||
|
||
case EVzDeviceWorkStatus::keDeviceWorkStatus_Eye_Reconnect:
|
||
{
|
||
LOG_INFO("[BasePresenter Camera Status Callback] Camera device online/connected\n");
|
||
|
||
// 更新相机连接状态
|
||
pThis->m_bCameraConnected = true;
|
||
|
||
// 通知子类相机状态变更
|
||
pThis->OnCameraStatusChanged(1, true);
|
||
break;
|
||
}
|
||
|
||
case EVzDeviceWorkStatus::keDeviceWorkStatus_Device_Swing_Finish:
|
||
{
|
||
LOG_INFO("[BasePresenter Camera Status Callback] Received scan finish signal from camera\n");
|
||
|
||
// 通知算法检测线程开始处理
|
||
pThis->m_algoDetectCondition.notify_one();
|
||
break;
|
||
}
|
||
|
||
default:
|
||
break;
|
||
}
|
||
}
|
||
|
||
|
||
void BasePresenter::StartCameraReconnectTimer()
|
||
{
|
||
LOG_DEBUG("[BasePresenter] StartCameraReconnectTimer called\n");
|
||
|
||
// 使用QMetaObject::invokeMethod确保在正确的线程中操作定时器
|
||
QMetaObject::invokeMethod(this, [this]() {
|
||
if (!m_pCameraReconnectTimer) {
|
||
LOG_ERROR("[BasePresenter] m_pCameraReconnectTimer is nullptr!\n");
|
||
return;
|
||
}
|
||
|
||
if (m_pCameraReconnectTimer->isActive()) {
|
||
LOG_DEBUG("[BasePresenter] 相机重连定时器已在运行\n");
|
||
return;
|
||
}
|
||
|
||
m_pCameraReconnectTimer->start();
|
||
LOG_INFO("[BasePresenter] 启动相机重连定时器（间隔: %d ms）\n", m_pCameraReconnectTimer->interval());
|
||
}, Qt::QueuedConnection);
|
||
}
|
||
|
||
void BasePresenter::StopCameraReconnectTimer()
|
||
{
|
||
// 使用QMetaObject::invokeMethod确保在正确的线程中操作定时器
|
||
QMetaObject::invokeMethod(this, [this]() {
|
||
if (m_pCameraReconnectTimer && m_pCameraReconnectTimer->isActive()) {
|
||
m_pCameraReconnectTimer->stop();
|
||
LOG_INFO("[BasePresenter] 停止相机重连定时器\n");
|
||
}
|
||
}, Qt::QueuedConnection);
|
||
}
|
||
|
||
// ============ OnCameraReconnectTimer 实现 ============
|
||
void BasePresenter::OnCameraReconnectTimer()
|
||
{
|
||
// 调用子类实现的重连逻辑
|
||
bool allConnected = TryReconnectCameras();
|
||
|
||
if (allConnected) {
|
||
LOG_INFO("[BasePresenter] 所有相机重连成功，停止定时器\n");
|
||
StopCameraReconnectTimer();
|
||
}
|
||
}
|
||
|
||
// ============ TryReconnectCameras 默认实现 ============
|
||
bool BasePresenter::TryReconnectCameras()
|
||
{
|
||
LOG_DEBUG("[BasePresenter] TryReconnectCameras all %zd \n", m_expectedList.size());
|
||
|
||
bool allConnected = true;
|
||
int connectedCount = 0;
|
||
|
||
// 遍历所有配置的相机，尝试重连失败的相机
|
||
for (int i = 0; i < static_cast<int>(m_expectedList.size()); i++) {
|
||
// 检查该位置的相机是否已连接
|
||
if (i < static_cast<int>(m_vrEyeDeviceList.size()) && m_vrEyeDeviceList[i].second != nullptr) {
|
||
// 相机已连接，跳过
|
||
connectedCount++;
|
||
continue;
|
||
}
|
||
|
||
// 尝试重连相机
|
||
int cameraIndex = i + 1; // 相机索引从1开始
|
||
const DeviceInfo& cameraInfo = m_expectedList[i];
|
||
|
||
LOG_DEBUG("[BasePresenter] 尝试重连相机 %d (%s, %s)\n", cameraIndex, cameraInfo.name.c_str(), cameraInfo.ip.c_str());
|
||
|
||
// 调用 OpenDevice 重连（使用初始化时的 RGB/Swing 参数）
|
||
int nRet = OpenDevice(cameraIndex, cameraInfo.name.c_str(), cameraInfo.ip.c_str(), m_bRGB, m_bSwing);
|
||
|
||
OnCameraStatusChanged(cameraIndex, SUCCESS == nRet);
|
||
if (nRet == SUCCESS) {
|
||
LOG_INFO("[BasePresenter] 相机 %d (%s) 重连成功\n", cameraIndex, cameraInfo.name.c_str());
|
||
connectedCount++;
|
||
} else {
|
||
LOG_DEBUG("[BasePresenter] 相机 %d (%s) 重连失败，错误码: %d\n", cameraIndex, cameraInfo.name.c_str(), nRet);
|
||
allConnected = false;
|
||
}
|
||
}
|
||
|
||
// 更新相机连接状态
|
||
m_bCameraConnected = (connectedCount > 0);
|
||
|
||
// 更新默认相机索引为第一个连接的相机
|
||
for (int i = 0; i < static_cast<int>(m_vrEyeDeviceList.size()); i++) {
|
||
if (m_vrEyeDeviceList[i].second != nullptr) {
|
||
m_currentCameraIndex = i + 1;
|
||
break;
|
||
}
|
||
}
|
||
|
||
LOG_INFO("[BasePresenter] 相机重连尝试完成: %d/%d 台相机已连接\n", connectedCount, m_expectedList.size());
|
||
|
||
return (connectedCount == m_expectedList.size() && allConnected);
|
||
}
|