#include "ANSYOLOOBBTrainingEngine.h"
#include "Utility.h"
#include <random>
#include <cstdio>
#include <memory>
#include <regex>
namespace ANSCENTER
{
	ANYLOBBTRE::ANYLOBBTRE() {
		_projectDirectory = "C:\\ProgramData\\Sh7O7nUe7vJ\\ansobb";
		_engineDirectory = "C:\\ProgramData\\ANSCENTER\\Python\\Scripts";
		_modelTemplateDirectory = "C:\\ProgramData\\ANSCENTER\\Shared";
		_currentExperimentNumber = 1;
		_isLicenseValid = false;
		_licenseKey = "";
		_zipPassword = "";
		_changeProjectDirectory = false;
		_isLatestEngine = true;// Default is YoloV10 engine
	}
	ANYLOBBTRE::~ANYLOBBTRE() {
		_projects.clear();
		_zipPassword = "";
		_isLicenseValid = false;
		_changeProjectDirectory = false;
		_isLatestEngine = true;
	}
	void ANYLOBBTRE::CheckLicense() {

		try {
			_isLicenseValid = ANSCENTER::ANSLicenseHelper::LicenseVerification(_licenseKey, 1008, "ANSTS");//Default productId=1008 (ANSTS)
		}
		catch (std::exception& e) {
			this->_logger.LogFatal("ANYLOBBTRE::CheckLicense()", e.what(), __FILE__, __LINE__);
		}
	}
	bool ANYLOBBTRE::Init(std::string licenseKey,
		std::string projectDirectory,
		std::string engineDirectory,
		std::string modelTemplateDirectory,
		std::string modelZipPassword,
		bool isLatestEngine)
	{
		_licenseKey = licenseKey;
		_isLatestEngine = isLatestEngine;
		CheckLicense();
		if (!_isLicenseValid) {
			this->_logger.LogError("ANYLOBBTRE::Init", "Invalid license key", __FILE__, __LINE__);
			return false;
		}
		if (projectDirectory.empty())_projectDirectory = "C:\\ProgramData\\Sh7O7nUe7vJ\\ansobb";
		else _projectDirectory = projectDirectory + "\\ansobb";

		_engineDirectory = engineDirectory;
		_modelTemplateDirectory = modelTemplateDirectory;
		if (_engineDirectory.empty())_engineDirectory = "C:\\ProgramData\\ANSCENTER\\Python311\\Scripts";
		if (_modelTemplateDirectory.empty())_modelTemplateDirectory = "C:\\ProgramData\\ANSCENTER\\Python311\\Lib\\site-packages\\data";

		// Change the project directory to 1 level down if there is 1 folder in the project directory
		if (!FolderExist(_projectDirectory)) fs::create_directory(_projectDirectory);

		_modelZipPassword = modelZipPassword;
		_zipPassword = "Sh7O7nUe7vJ/417W0gWX+dSdfcP9hUqtf/fEqJGqxYL3PedvHubJag==";
		_modelZipPassword = _zipPassword;

		// Some logging in here
		std::string _ansdnnEngine = _engineDirectory + "\\yolo.exe";
		if (!FileExist(_ansdnnEngine))this->_logger.LogError("ANYLOBBTRE::Init", "ANSDL Engine is not installed. Please install ANS Runtime Engine", __FILE__, __LINE__);

		std::string fastWeight = _modelTemplateDirectory + "\\ob\\ob8n.pt";
		std::string accurateWeight = _modelTemplateDirectory + "\\ob\\ob8m.pt";
		std::string veryAccurateWeight = _modelTemplateDirectory + "\\ob\\ob8x.pt";

		yolo11nModelFile = _modelTemplateDirectory + "\\yolo11n.pt";

		if (!FileExist(fastWeight))this->_logger.LogError("ANYLOBBTRE::Init", "FAST model file is missing", __FILE__, __LINE__);
		if (!FileExist(accurateWeight))this->_logger.LogError("ANYLOBBTRE::Init", "ACCURATE model file is missing", __FILE__, __LINE__);
		if (!FileExist(veryAccurateWeight))this->_logger.LogError("ANYLOBBTRE::Init", "VERYACCURATE model file is missing", __FILE__, __LINE__);
		if (!FileExist(yolo11nModelFile))this->_logger.LogError("ANYLOBBTRE::Init", "Evaluate model file is missing", __FILE__, __LINE__);

		if (FolderExist(_projectDirectory) &&
			FolderExist(_engineDirectory) &&
			FolderExist(_modelTemplateDirectory))return true;
		return false;
	}
	std::vector<std::string> ANYLOBBTRE::GetProjects() {
		_projects.clear();
		std::vector<std::string> _projectNames;
		for (auto& entry : std::filesystem::directory_iterator(_projectDirectory))
		{
			if (entry.is_directory())
			{
				_projects.push_back(entry.path().string());
				_projectNames.push_back(ExtractFolderName(entry.path().string()));
			}
		}

		return _projectNames;
	}
	std::vector<std::string> ANYLOBBTRE::GetProjectExperiments(std::string projectName) {
		_projectName = Space2Underscore(projectName);
		std::string projectPath = FindFilePathInFileList(_projects, _projectName);
		std::string experimentPath = projectPath + "\\experiments";
		if (FolderExist(experimentPath)) {
			std::vector<std::string> files;
			std::vector<std::string> experiments;
			for (const auto& entry : std::filesystem::directory_iterator(experimentPath))
			{
				if (entry.is_regular_file() && entry.path().extension() == ".zip")
				{
					experiments.push_back(GetFileNameWithoutExtension(entry.path().string()));
				}
			}
			return experiments;
		}
		else {
			std::vector<std::string> experiments;
			return experiments;
		}

	}
	std::string ANYLOBBTRE::GetProjectExperimentStatus(std::string projectName, int experimentNumber) {
		_projectName = Space2Underscore(projectName);
		std::string projectPath = FindFilePathInFileList(_projects, _projectName);
		if (FolderExist(projectPath)) {
			std::string experimentFolder = projectPath + "\\experiments";
			if (FolderExist(experimentFolder)) {
				std::string experimentPath = projectPath + "\\experiments\\" + std::to_string(experimentNumber) + ".zip";
				if (FileExist(experimentPath)) {
					return "TRAINED";
				}
				else
				{
					std::string configurationPath = projectPath + "\\experiments\\" + std::to_string(experimentNumber) + "\\train.cfg";
					if (FileExist(configurationPath))
					{
						std::string tempWeightFile = projectPath + "\\experiments\\" + std::to_string(experimentNumber) + "\\" + _projectName + "\\weights\\best.pt";
						if (FileExist(tempWeightFile)) return "RUNNING";
						else return "CONFIGURED";
					}
					else return "UPLOADED";
				}

			}
			else {
				std::string dataPath = projectPath + "\\data";
				if (FileExist(dataPath))
				{
					return "CREATED";
				}
				else {
					return "UPLOADED";
				}
			}
		}
		else return "NOTFOUND";
	}
	bool ANYLOBBTRE::CreateProject(std::string projectName) {
		_projectName = Space2Underscore(projectName);
		std::string projectPath = FindFilePathInFileList(_projects, _projectName);
		if (projectPath.empty()) {
			std::string newProjectPath = _projectDirectory + "\\" + _projectName;
			if (FolderExist(newProjectPath))return false;
			fs::create_directory(newProjectPath);
			_projects.push_back(newProjectPath);
			return true;
		}
		return false;
	}
	bool ANYLOBBTRE::DeleteProject(std::string projectName) {
		_projectName = Space2Underscore(projectName);
		std::string projectPath = FindFilePathInFileList(_projects, _projectName);
		if (FolderExist(projectPath)) {
			return DeleteFolder(projectPath);
		}
		return false;
	}
	bool ANYLOBBTRE::SetWorkingDirectory(std::string workingDirectory) {
		if (FolderExist(workingDirectory)) {
			size_t lastSlashPos = workingDirectory.find_last_of("\\/");
			if (lastSlashPos != std::string::npos && workingDirectory.substr(lastSlashPos + 1) == "data") {
				workingDirectory = workingDirectory.substr(0, lastSlashPos);
			}
			_workingDirectory = workingDirectory;
			std::string dataPath = _workingDirectory + "\\data";
			std::string pbLabelPath = dataPath + "\\label_map.pbtxt";
			if (FileExist(pbLabelPath)) return true;

			else false;
		}
		return false;
	}

	int ANYLOBBTRE::GenerateClassNamesFile(std::string labelMapFile, std::string objectDataFile, bool useANSClassFile) {
		if (!FileExist(labelMapFile)) return 0;
		if (useANSClassFile) {
			// Use the ANS Class file
			std::vector<std::string> classVec = ParseANSClass(labelMapFile);
			if (classVec.empty()) return 0;
			std::ofstream outFile(objectDataFile);
			std::string line;
			int fileLine = 0;
			for (auto& item : classVec) {
				outFile << item << "\n";
				fileLine++;
			}
			outFile.close();
			return fileLine;
		}
		else {
			std::ifstream inFile(labelMapFile);
			std::ofstream outFile(objectDataFile);
			if (!inFile.is_open() || !outFile.is_open()) {
				return 0;
			}
			std::string line;
			// Updated pattern: allows optional spaces between name and the colon
			std::regex namePattern(R"(name\s*:\s*'(.*)')");
			int fileLine = 0;

			while (std::getline(inFile, line)) {
				std::smatch matches;
				std::cout << line << std::endl;
				if (std::regex_search(line, matches, namePattern) && matches.size() > 1) {
					outFile << matches[1].str() << "\n";
					fileLine++;
				}
			}
			inFile.close();
			outFile.close();
			return fileLine;
		}
	}
	// We need to create a data folder in following structure
	// data
	//		-images
	//			- train
	// 			- test	
	//			- val						
	//		-labels
	//			- train
	// 			- test
	//			- val
	//		-data.yaml (data.yaml)
	//			path:   sourceDataPath
	//			train:  images\train
	//			val : images\val
	//			names : [plate]
	//      - classes.names
	bool ANYLOBBTRE::UploadTrainingData(std::string projectName) {
		_projectName = Space2Underscore(projectName);
		std::string projectPath = FindFilePathInFileList(_projects, _projectName);

		//1. Check if the project folder exist, then create a data folder
		std::string dataPath = projectPath + "\\data";
		if (FolderExist(dataPath))DeleteFolder(dataPath);
		fs::create_directory(dataPath);
		std::string sourceDataPath = _workingDirectory + "\\data";
		bool useANSClassFile = true;
		std::string sourceLabelPath = sourceDataPath + "\\ANS_Class.json";
		if (!FileExist(sourceLabelPath)) {
			sourceLabelPath = sourceDataPath + "\\label_map.pbtxt";
			useANSClassFile = false;
		}
		if (!FileExist(sourceLabelPath)) return false;

		//2. Generate the training dataset
		GenerateTrainDataSet(sourceDataPath, dataPath + "\\images", dataPath + "\\labels", 0.8);


		//3. Generate the classes.names file
		std::string classesNamesFile = dataPath + "\\classes.names";
		GenerateClassNamesFile(sourceLabelPath, classesNamesFile, useANSClassFile);

		//4. Generate the data.yaml file
		std::string YalmDataFile = dataPath + "\\data.yaml";
		GenerateObjectDataFile(sourceLabelPath, YalmDataFile, useANSClassFile);

		return FileExist(YalmDataFile);
	}


	bool ANYLOBBTRE::CreateTrainingEngine(std::string projectName,
		int experimentNumber,
		int extractorType,
		long numberStep,
		int batchSize,
		double learningRate)// extractorType =0: FAST, 1: ACCURATE; 2: VERY ACCURATE
	{
		_projectName = Space2Underscore(projectName);
		std::string projectPath = FindFilePathInFileList(_projects, _projectName);
		std::string experimentPath = projectPath + "\\experiments\\" + std::to_string(experimentNumber);
		std::string experimentParentFolder = GetParentFolder(experimentPath);
		std::string evaluationModelFile = experimentParentFolder + "\\yolo11n.pt";
		if (!FolderExist(experimentParentFolder))fs::create_directory(experimentParentFolder);
		if (!FileExist(evaluationModelFile)) CopyFile(yolo11nModelFile, evaluationModelFile);
		//0. Check if the experiement folder exist
		std::string zipExperimentPath = experimentPath + ".zip";
		if (FileExist(zipExperimentPath)) { // If the experiment folder is already zipped, we need to unzip it
			bool unzipResult = ExtractProtectedZipFile(zipExperimentPath, _zipPassword, std::to_string(experimentNumber), experimentPath);
			if (!unzipResult) {
				unzipResult = ExtractProtectedZipFile(zipExperimentPath, _modelZipPassword, std::to_string(experimentNumber), experimentPath);
			}
			if (unzipResult) {
				DeleteFile(zipExperimentPath);
			}
			DeleteWeightsFiles(experimentPath);
		}

		//1. Create a brand new experiment folder
		if (!FolderExist(experimentPath))fs::create_directory(experimentPath);


		//2. Delete the old configuration files
		std::string trainCfgFile = experimentPath + "\\train.cfg";
		if (FileExist(trainCfgFile))DeleteFile(trainCfgFile);

		//3. Copy classes.names file to the experiment folder
		std::string classesNamesFile = projectPath + "\\data\\classes.names";
		std::string experimentClassesNamesFile = experimentPath + "\\classes.names";
		if (FileExist(classesNamesFile))CopyFile(classesNamesFile, experimentClassesNamesFile);

		//4. Generate the configuration file
		std::ofstream outFile(trainCfgFile);
		outFile << "project_name=" << projectName << "\n";
		outFile << "experiment_number=" << experimentNumber << "\n";
		outFile << "extractor_type=" << extractorType << "\n";
		outFile << "batch=" << batchSize << "\n";
		outFile << "epochs=" << numberStep << "\n";
		outFile << "lr0=" << learningRate << "\n";
		outFile.close();
		return true;

	}
	std::map<std::string, std::string> ANYLOBBTRE::ExtractDataFromCfgFile(const std::string& filePath) {
		std::map<std::string, std::string> data;
		data.clear();
		if (FileExist(filePath)) {
			std::ifstream file(filePath);
			if (!file.is_open()) {
				return data;
			}

			std::string line;
			while (std::getline(file, line)) {
				std::istringstream iss(line);
				std::string key, value;
				if (std::getline(iss, key, '=') && std::getline(iss, value)) {
					data[key] = value;
				}
			}
		}
		return data;
	}

	std::string ANYLOBBTRE::GenerateTrainingCommand(std::string projectName, int experimentNumber, int extractorType) {
		_projectName = Space2Underscore(projectName);
		std::string projectPath = FindFilePathInFileList(_projects, _projectName);
		if (FolderExist(projectPath)) {
			std::string experimentPath = projectPath + "\\experiments\\" + std::to_string(experimentNumber);
			std::string trainScript = _engineDirectory + "\\yolo.exe";
			std::string trainCfgFile = experimentPath + "\\train.cfg";
			std::string projectDataPath = projectPath + "\\data\\data.yaml";

			std::string preTrainWeightFile = experimentPath + "\\train_last.pt";
			// Override the preTrainWeightFile if the experiment folder is already zipped
			std::string zipExperimentPath = experimentPath + ".zip";
			std::string experimentParentFolder = GetParentFolder(experimentPath);
			if (FileExist(zipExperimentPath)) { // If the experiment folder is already zipped, we need to unzip it
				bool unzipResult = ExtractProtectedZipFile(zipExperimentPath, _zipPassword, std::to_string(experimentNumber), experimentPath);
				if (!unzipResult) {
					unzipResult = ExtractProtectedZipFile(zipExperimentPath, _modelZipPassword, std::to_string(experimentNumber), experimentPath);
				}
				if (unzipResult) {
					DeleteFile(zipExperimentPath);
				}
			}

			//Copy classes.names file to the experiment folder
			std::string classesNamesFile = projectPath + "\\data\\classes.names";
			std::string classNamesFile = experimentPath + "\\classes.names";
			if (FileExist(classNamesFile))DeleteFile(classNamesFile);
			if (FileExist(classesNamesFile))CopyFile(classesNamesFile, classNamesFile);


			std::string weightFolder = GetLatestValidFolderAndDeleteOthers(projectName, experimentPath);
			// Check if the last train weight file is exist
			std::string experimentResultPath = weightFolder;// experimentPath + "\\" + _projectName;
			std::string lastTrainWeightFile = experimentResultPath + "\\weights\\best.pt";
			if (FileExist(lastTrainWeightFile)) {
				CopyFile(lastTrainWeightFile, preTrainWeightFile);
				DeleteFolder(experimentResultPath);
			}
			if (!FileExist(preTrainWeightFile)) {
				switch (extractorType) {// then use templae
				case 0:
					preTrainWeightFile = _modelTemplateDirectory + "\\ob\\ob8n.pt";
					break;
				case 1:
					preTrainWeightFile = _modelTemplateDirectory + "\\ob\\ob8m.pt";
					break;
				case 2:
					preTrainWeightFile = _modelTemplateDirectory + "\\ob\\ob8x.pt";
					break;
				default:
					preTrainWeightFile = _modelTemplateDirectory + "\\ob\\ob8n.pt";
					break;
				}
			}

			if (!FileExist(trainScript))	this->_logger.LogError("ANYLOBBTRE::GenerateTrainingCommand", "ANSODTRE Engine is not installed", __FILE__, __LINE__);
			if (!FileExist(trainCfgFile))	this->_logger.LogError("ANYLOBBTRE::GenerateTrainingCommand", "Missing train.cfg file", __FILE__, __LINE__);
			if (!FileExist(preTrainWeightFile))	this->_logger.LogError("ANYLOBBTRE::GenerateTrainingCommand", "Missing pre-trained weight file", __FILE__, __LINE__);
			if (!FileExist(projectDataPath))	this->_logger.LogError("ANYLOBBTRE::GenerateTrainingCommand", "Missing data yalm file", __FILE__, __LINE__);

			if ((FileExist(trainScript)) &&
				(FileExist(trainCfgFile)) &&
				(FileExist(preTrainWeightFile)) &&
				(FileExist(projectDataPath))) {
				// Extract information from train.cfg file
				std::string epochs = "2000";
				std::string learningRate = "0.01";
				std::string batch = "-1"; // auto batch size

				std::map<std::string, std::string> cfgMapData = ExtractDataFromCfgFile(trainCfgFile);
				if (cfgMapData.size() > 0) {
					epochs = cfgMapData.at("epochs");
					learningRate = cfgMapData.at("lr0");
					batch = cfgMapData.at("batch");
				}
				std::string trainCommand = trainScript +
					" obb train model=" + "\"" + preTrainWeightFile + "\"" +
					" data=" + "\"" + projectDataPath + "\"" +
					" imgsz=640" +
					" workers=8" +
					" batch=" + batch +
					" device=0" +
					" epochs=" + epochs +
					" patience=0" +
					" plots=False" +
					" name=" + _projectName +
					" project=" + "\"" + experimentPath + "\"";
				return trainCommand;
			}
			this->_logger.LogError("ANYLOBBTRE::GenerateTrainingCommand", "Missing configuration files", __FILE__, __LINE__);
			return "";
		}
		else {
			this->_logger.LogError("ANYLOBBTRE::GenerateTrainingCommand", "project path is not exist", __FILE__, __LINE__);
			return "";

		}
	}

	std::string ANYLOBBTRE::GenerateCustomTrainingCommand(std::string projectName, int experimentNumber, int extractorType, std::string pretrainedModel) {
		_projectName = Space2Underscore(projectName);
		std::string projectPath = FindFilePathInFileList(_projects, _projectName);
		if (FolderExist(projectPath)) {
			std::string experimentPath = projectPath + "\\experiments\\" + std::to_string(experimentNumber);
			std::string trainScript = _engineDirectory + "\\yolo.exe";
			std::string trainCfgFile = experimentPath + "\\train.cfg";
			std::string projectDataPath = projectPath + "\\data\\data.yaml";
			std::string preTrainWeightFile = pretrainedModel;
			if (!FileExist(preTrainWeightFile)) preTrainWeightFile = experimentPath + "\\train_last.pt";

			// Override the preTrainWeightFile if the experiment folder is already zipped
			std::string zipExperimentPath = experimentPath + ".zip";
			std::string experimentParentFolder = GetParentFolder(experimentPath);
			if (FileExist(zipExperimentPath)) { // If the experiment folder is already zipped, we need to unzip it
				bool unzipResult = ExtractProtectedZipFile(zipExperimentPath, _zipPassword, std::to_string(experimentNumber), experimentPath);
				if (!unzipResult) {
					unzipResult = ExtractProtectedZipFile(zipExperimentPath, _modelZipPassword, std::to_string(experimentNumber), experimentPath);
				}
				if (unzipResult) {
					DeleteFile(zipExperimentPath);
				}
			}

			//Copy classes.names file to the experiment folder
			std::string classesNamesFile = projectPath + "\\data\\classes.names";
			std::string classNamesFile = experimentPath + "\\classes.names";
			if (FileExist(classNamesFile))DeleteFile(classNamesFile);
			if (FileExist(classesNamesFile))CopyFile(classesNamesFile, classNamesFile);


			std::string weightFolder = GetLatestValidFolderAndDeleteOthers(projectName, experimentPath);
			// Check if the last train weight file is exist
			std::string experimentResultPath = weightFolder;// experimentPath + "\\" + _projectName;
			std::string lastTrainWeightFile = experimentResultPath + "\\weights\\best.pt";
			if (FileExist(lastTrainWeightFile)) {
				CopyFile(lastTrainWeightFile, preTrainWeightFile);
				DeleteFolder(experimentResultPath);
			}
			if (!FileExist(preTrainWeightFile)) {
				switch (extractorType) {// then use templae
				case 0:
					preTrainWeightFile = _modelTemplateDirectory + "\\ob\\ob8n.pt";
					break;
				case 1:
					preTrainWeightFile = _modelTemplateDirectory + "\\ob\\ob8m.pt";
					break;
				case 2:
					preTrainWeightFile = _modelTemplateDirectory + "\\ob\\ob8x.pt";
					break;
				default:
					preTrainWeightFile = _modelTemplateDirectory + "\\ob\\ob8n.pt";
					break;
				}
			}

			if (!FileExist(trainScript))	this->_logger.LogError("ANYLOBBTRE::GenerateCustomTrainingCommand", "ANSODTRE Engine is not installed", __FILE__, __LINE__);
			if (!FileExist(trainCfgFile))	this->_logger.LogError("ANYLOBBTRE::GenerateCustomTrainingCommand", "Missing train.cfg file", __FILE__, __LINE__);
			if (!FileExist(preTrainWeightFile))	this->_logger.LogError("ANYLOBBTRE::GenerateCustomTrainingCommand", "Missing pre-trained weight file", __FILE__, __LINE__);
			if (!FileExist(projectDataPath))	this->_logger.LogError("ANYLOBBTRE::GenerateCustomTrainingCommand", "Missing data yalm file", __FILE__, __LINE__);

			if ((FileExist(trainScript)) &&
				(FileExist(trainCfgFile)) &&
				(FileExist(preTrainWeightFile)) &&
				(FileExist(projectDataPath))) {
				// Extract information from train.cfg file
				std::string epochs = "2000";
				std::string learningRate = "0.01";
				std::string batch = "-1"; // auto batch size

				std::map<std::string, std::string> cfgMapData = ExtractDataFromCfgFile(trainCfgFile);
				if (cfgMapData.size() > 0) {
					epochs = cfgMapData.at("epochs");
					learningRate = cfgMapData.at("lr0");
					batch = cfgMapData.at("batch");
				}
				std::string trainCommand = trainScript +
					" obb train model=" + "\"" + preTrainWeightFile + "\"" +
					" data=" + "\"" + projectDataPath + "\"" +
					" imgsz=640" +
					" workers=8" +
					" batch=" + batch +
					" device=0" +
					" epochs=" + epochs +
					" patience=0" +
					" plots=False" +
					" name=" + _projectName +
					" project=" + "\"" + experimentPath + "\"";
				return trainCommand;
			}
			this->_logger.LogError("ANYLOBBTRE::GenerateCustomTrainingCommand", "Missing configuration files", __FILE__, __LINE__);
			return "";
		}
		else {
			this->_logger.LogError("ANYLOBBTRE::GenerateCustomTrainingCommand", "project path is not exist", __FILE__, __LINE__);
			return "";

		}
	}
	std::string ANYLOBBTRE::GenerateEvaluateModelCommand(std::string projectName, int experimentNumber, bool& zipModelExist) {
		_projectName = Space2Underscore(projectName);
		zipModelExist = false;
		std::string projectPath = FindFilePathInFileList(_projects, _projectName);
		if (FolderExist(projectPath)) {
			std::string experimentPath = projectPath + "\\experiments\\" + std::to_string(experimentNumber);
			std::string trainScript = _engineDirectory + "\\yolo.exe";
			std::string trainCfgFile = experimentPath + "\\train.cfg";
			std::string preTrainWeightFile = experimentPath + "\\train_last.pt";
			std::string projectDataPath = projectPath + "\\data\\data.yaml";

			// Override the preTrainWeightFile if the experiment folder is already zipped
			std::string zipExperimentPath = experimentPath + ".zip";
			std::string experimentParentFolder = GetParentFolder(experimentPath);
			if (FileExist(zipExperimentPath)) { // If the experiment folder is already zipped, we need to unzip it
				bool unzipResult = ExtractProtectedZipFile(zipExperimentPath, _zipPassword, std::to_string(experimentNumber), experimentPath);
				if (!unzipResult) {
					unzipResult = ExtractProtectedZipFile(zipExperimentPath, _modelZipPassword, std::to_string(experimentNumber), experimentPath);
				}
				if (unzipResult) {
					zipModelExist = true;
				}
			}
			//Copy classes.names file to the experiment folder
			std::string classesNamesFile = projectPath + "\\data\\classes.names";
			std::string classNamesFile = experimentPath + "\\classes.names";
			if (FileExist(classNamesFile))DeleteFile(classNamesFile);
			if (FileExist(classesNamesFile))CopyFile(classesNamesFile, classNamesFile);

			//// Check if the last train weight file is exist
			//std::string experimentResultPath = experimentPath + "\\" + _projectName;
			//std::string lastTrainWeightFile = experimentResultPath + "\\weights\\best.pt";
			std::string weightFolder = GetLatestValidFolderAndDeleteOthers(projectName, experimentPath);
			// Check if the last train weight file is exist
			std::string experimentResultPath = weightFolder;// experimentPath + "\\" + _projectName;
			std::string lastTrainWeightFile = experimentResultPath + "\\weights\\best.pt";
			if (FileExist(lastTrainWeightFile)) {
				CopyFile(lastTrainWeightFile, preTrainWeightFile);
				DeleteFolder(experimentResultPath);
			}

			if (!FileExist(trainScript))	this->_logger.LogError("ANYLOBBTRE::GenerateEvaluateModelCommand", "ANYLOBBTRE Engine is not installed", __FILE__, __LINE__);
			if (!FileExist(trainCfgFile))	this->_logger.LogError("ANYLOBBTRE::GenerateEvaluateModelCommand", "Missing train.cfg file", __FILE__, __LINE__);
			if (!FileExist(preTrainWeightFile))	this->_logger.LogError("ANYLOBBTRE::GenerateEvaluateModelCommand", "Missing pre-trained weight file", __FILE__, __LINE__);
			if (!FileExist(classNamesFile))	this->_logger.LogError("ANYLOBBTRE::GenerateEvaluateModelCommand", "Missing classes.names file", __FILE__, __LINE__);

			if ((FileExist(trainScript)) &&
				(FileExist(trainCfgFile)) &&
				(FileExist(preTrainWeightFile)) &&
				(FileExist(classNamesFile))) {
				std::string evaluateCommand = trainScript +
					" detect val model=" + "\"" + preTrainWeightFile + "\"" +
					" data=" + "\"" + projectDataPath + "\"" +
					" split=val" +
					" imgsz=640" +
					" workers=8" +
					" batch=8" +
					" device=0" +
					" conf=0.25" +
					" plots=False" +
					" save_json=False" +
					" iou=0.6";

				return evaluateCommand;
			}
			this->_logger.LogError("ANYLOBBTRE::GenerateEvaluateModelCommand", "Missing configuration files", __FILE__, __LINE__);
			return "";
		}
		else {
			this->_logger.LogError("ANYLOBBTRE::GenerateEvaluateModelCommand", "project path is not exist", __FILE__, __LINE__);
			return "";
		}
	}

	bool ANYLOBBTRE::DownloadModel(std::string projectName, int experimentNumber, std::string destZipDirectory, int modelMode) {
		_projectName = Space2Underscore(projectName);
		std::string projectPath = FindFilePathInFileList(_projects, _projectName);
		if (FolderExist(projectPath)) {
			//0. Get all files in the experiment folder
			std::string trainScript = _engineDirectory + "\\yolo.exe";
			std::string experimentPath = projectPath + "\\experiments\\" + std::to_string(experimentNumber);
			std::string zipExperimentPath = experimentPath + ".zip";
			std::string trainCfgFile = experimentPath + "\\train.cfg";
			int extractorType = 0;
			if (FileExist(zipExperimentPath)) { // If the experiment folder is already zipped, we need to unzip it
				if (ExtractProtectedZipFile(zipExperimentPath, _zipPassword, std::to_string(experimentNumber), experimentPath))
				{
					DeleteFile(zipExperimentPath);
				}
				else {
					this->_logger.LogError("ANYLOBBTRE::DownloadModel", "Can not unzip model zip file to extract information. Invalid password.", __FILE__, __LINE__);
					return false;
				}
			}
			//Copy classes.names file to the experiment folder
			std::string classesNamesFile = projectPath + "\\data\\classes.names";
			std::string classNamesFile = experimentPath + "\\classes.names";
			if (FileExist(classNamesFile))DeleteFile(classNamesFile);
			if (FileExist(classesNamesFile))CopyFile(classesNamesFile, classNamesFile);

			// Extract information from train.cfg file
			std::map<std::string, std::string> cfgMapData = ExtractDataFromCfgFile(trainCfgFile);
			if (cfgMapData.size() > 0) {
				extractorType = std::stoi(cfgMapData.at("extractor_type"));
			}

			std::string exportDirectory = projectPath + "\\exports";
			if (!FolderExist(exportDirectory))fs::create_directory(exportDirectory);
			std::string exportExperimentFolder = exportDirectory + "\\" + projectName + "_" + std::to_string(experimentNumber);
			std::string exportExperimentZip = exportExperimentFolder + ".zip";
			if (FileExist(exportExperimentZip))DeleteFile(exportExperimentZip);
			if (!FolderExist(exportExperimentFolder))fs::create_directory(exportExperimentFolder);


			//// Check if the last train weight file is exist
			std::string weightFolder = GetLatestValidFolderAndDeleteOthers(projectName, experimentPath);
			// Check if the last train weight file is exist
			std::string preTrainWeightFile = experimentPath + "\\train_last.pt";
			std::string experimentResultPath = weightFolder;// experimentPath + "\\" + _projectName;
			std::string lastTrainWeightFile = experimentResultPath + "\\weights\\best.pt";
			if (FileExist(lastTrainWeightFile)) {
				if (FileExist(preTrainWeightFile))DeleteFile(preTrainWeightFile);
				CopyFile(lastTrainWeightFile, preTrainWeightFile);
				DeleteFolder(experimentResultPath);
			}

			if (!FileExist(preTrainWeightFile)) {
				this->_logger.LogError("ANYLOBBTRE::DownloadModel", "Missing pre-trained weight file", __FILE__, __LINE__);
				return false;
			}

			// 1. Get the names of classes.names
			std::ifstream inFile(classNamesFile);
			if (!inFile.is_open()) {
				this->_logger.LogError("ANYLOBBTRE::DownloadModel", "cannot open file to save model information.", __FILE__, __LINE__);
				return false;
			}
			std::vector<std::string> classesNames;
			std::string line;
			while (std::getline(inFile, line)) {
				classesNames.push_back(line);
			}
			inFile.close();

			// 2. Copy the classes.names file to the export folder
			std::string exportClassesNameFile = exportExperimentFolder + "\\classes.names";
			CopyFile(classNamesFile, exportClassesNameFile);

			// 3. Create Categories folder
			std::string categoriesFolder = exportExperimentFolder + "\\Categories";
			if (FolderExist(categoriesFolder))DeleteFolder(categoriesFolder);
			fs::create_directory(categoriesFolder);

			for (size_t i = 0; i < classesNames.size(); ++i) {
				std::ofstream outFile(categoriesFolder + "/" + classesNames[i] + "." + std::to_string(i + 1));
				outFile.close();
			}

			//4. Create a text file name yolo.txt
			if (modelMode == 0) { // This is the tensorRT onnx model
				std::string yoloTxtFile = yoloTxtFile = exportExperimentFolder + "\\tensorrtseg.txt";
				std::ofstream outFile(yoloTxtFile);
				outFile.close();
				std::string exportCommand = trainScript +
					" export model=" + preTrainWeightFile +
					" format=onnx" +
					" dynamic=True " +
					" opset=12" +
					" nms=True" +
					" simplify=False";

				if (!FileExist(preTrainWeightFile)) {
					this->_logger.LogError("ANYLOBBTRE::DownloadModel", "Pretrain file does not exist.", __FILE__, __LINE__);
					return false;
				}
				std::string onnxFile = experimentPath + "\\train_last.onnx";
				if (FileExist(onnxFile))DeleteFile(onnxFile);
				ExecuteCommand(exportCommand.c_str());
				if (!FileExist(onnxFile)) {
					this->_logger.LogError("ANYLOBBTRE::DownloadModel", "cannot generate onnx file.", __FILE__, __LINE__);
					return false;
				}
				// Copy the onnx file to the export folder
				std::string exportOnnxFile = exportExperimentFolder + "\\train_last.onnx";
				CopyFile(onnxFile, exportOnnxFile);
				DeleteFile(onnxFile);

			}
			else {
				std::string yoloTxtFile = exportExperimentFolder + "\\openvinoseg.txt";
				std::ofstream outFile(yoloTxtFile);
				outFile.close();
				std::string pythonDir = GetParentFolder(_engineDirectory);
				std::string pythonScript = pythonDir + "\\python.exe";
				std::string modelOptimiser = _modelTemplateDirectory + "\\ModelOptimizer.py";
				std::string exportCommand = pythonScript + " " + modelOptimiser + " " + preTrainWeightFile;
				if (!_isLatestEngine) exportCommand = trainScript +
					" export model=" + preTrainWeightFile +
					" half = False" +
					" format=openvino" +
					" nms=True" +
					" simplify=False";

				if (!FileExist(preTrainWeightFile)) {
					this->_logger.LogError("ANYLOBBTRE::DownloadModel", "Pretrain file does not exist.", __FILE__, __LINE__);
					return false;
				}
				ExecuteCommand(exportCommand.c_str());
				std::string xmlTrainedModelFile = exportExperimentFolder + "\\train_last.xml";
				std::string binTrainedModelFile = exportExperimentFolder + "\\train_last.bin";
				if (FileExist(xmlTrainedModelFile)) DeleteFile(xmlTrainedModelFile);
				if (FileExist(binTrainedModelFile)) DeleteFile(binTrainedModelFile);

				std::string outputExportedFolder = experimentPath + "\\train_last_openvino_model";
				std::string xmlFile = outputExportedFolder + "\\train_last.xml";
				std::string binFile = outputExportedFolder + "\\train_last.bin";

				if (!FileExist(xmlFile)) {
					this->_logger.LogError("ANYLOBBTRE::DownloadModel", "cannot generate openvino file.", __FILE__, __LINE__);
					return false;
				}
				CopyFile(xmlFile, xmlTrainedModelFile);
				CopyFile(binFile, binTrainedModelFile);
				DeleteFolder(outputExportedFolder);
			}


			//6. Zip the experiment folder
			if (ZipFolderWithPassword(experimentPath.c_str(), zipExperimentPath.c_str(), _zipPassword.c_str())) {
				DeleteFolder(experimentPath);
			}
			// 7. Zip the Experiment folder
			if (ZipFolderWithPassword(exportExperimentFolder.c_str(), exportExperimentZip.c_str(), _zipPassword.c_str())) {
				DeleteFolder(exportExperimentFolder);
				std::string destZipFilePath = destZipDirectory + "\\ANS_" + projectName + "(GPU)_" + std::to_string(experimentNumber) + ".zip";
				if (modelMode > 0)destZipFilePath = destZipDirectory + "\\ANS_" + projectName + "(CPU)_" + std::to_string(experimentNumber) + ".zip";
				//std::string destZipFilePath = destZipDirectory + "\\" + projectName + "_" + std::to_string(experimentNumber) + ".zip";
				CopyFile(exportExperimentZip, destZipFilePath);
				if (FileExist(destZipFilePath)) {
					//DeleteFile(exportExperimentZip);
					return true;
				}
				return false;
			}
			this->_logger.LogError("ANYLOBBTRE::DownloadModel", "Can not unzip model zip file to extract information. Invalid password.", __FILE__, __LINE__);
			return false;
		}
		else {
			this->_logger.LogError("ANYLOBBTRE::DownloadModel", "Invalid project path.", __FILE__, __LINE__);
			return false;
		}
	}

	std::string ANYLOBBTRE::EvaluateModel(std::string projectName, int experimentNumber) {
		bool zipModelExist = false;
		_projectName = Space2Underscore(projectName);
		std::string projectPath = FindFilePathInFileList(_projects, _projectName);
		if (FolderExist(projectPath)) {
			std::string experimentPath = projectPath + "\\experiments\\" + std::to_string(experimentNumber);
			std::string zipExperimentPath = experimentPath + ".zip";
			std::string preTrainWeightFile = experimentPath + "\\train_last.pt";
			std::string evaluateCommand = GenerateEvaluateModelCommand(_projectName, experimentNumber, zipModelExist);
			if (evaluateCommand.empty()) {
				this->_logger.LogError("ANSODTRE::EvaluateModel", "evaluateCommand is empty", __FILE__, __LINE__);
				return "";
			}
			if (!FileExist(preTrainWeightFile)) {
				this->_logger.LogError("ANSODTRE::EvaluateModel", "pre-trained model is not exist", __FILE__, __LINE__);
				return "";
			}
			return evaluateCommand;
		}
		else {
			this->_logger.LogError("ANYLOBBTRE::EvaluateModel", "Invalid project path.", __FILE__, __LINE__);
			return "";
		}
	}
	std::string ANYLOBBTRE::ParseTrainingResults(std::string trainingResults) {
		if (trainingResults.empty()) return "step: 0; loss=0.00; map=0.00";
		try {
			// Regex pattern to extract the first integer from "1/2000"
			std::regex epoch_regex(R"((\d+)/\d+)");
			std::smatch epoch_match;
			std::string epoch = "0";
			std::string loss = "0.00";
			std::string map = "0.00";
			if (std::regex_search(trainingResults, epoch_match, epoch_regex)) {
				epoch = epoch_match[1].str();
			}
			// Regex to find the line containing "all" and then extract the last two items (0.994 and 0.81) from that line
			std::regex line_regex(R"(all.*?(\d+\.\d+)\s+(\d+\.\d+)$)");
			std::smatch line_match;

			if (std::regex_search(trainingResults, line_match, line_regex)) {
				loss = line_match[1].str();
				map = line_match[2].str();
			}
			std::ostringstream status;
			status << "step: " << epoch << "; loss=" << loss << "; map=" << map;
			std::string result = status.str();
			std::cout << "result:" << result << std::endl;
			return result;
		}
		catch (std::exception& e) {
			this->_logger.LogFatal("ANYLOBBTRE::ParseTrainingResults", e.what(), __FILE__, __LINE__);
			return  "step: 0; loss=0.00; map=0.00";
		}

	}


	bool ANYLOBBTRE::CheckEngineStatus() {
		const char* targetProcess = "yolo.exe"; // Replace with the target process name

		if (IsProcessRunning(targetProcess)) {
			return true;
		}
		else {
			return false;
		}
	}

	bool ANYLOBBTRE::CheckEngine() {
		std::string inferenceCommand = "C:\\ProgramData\\ANSCENTER\\Python311\\Scripts\\yolo.exe detect predict model = \"C:\\ProgramData\\ANSCENTER\\Python311\\Lib\\site-packages\\data\\od\\od8m.pt\" source = \"C:\\ProgramData\\ANSCENTER\\Shared\\test.jpg\" save = False";
		std::string result = ExecuteCommand(inferenceCommand.c_str());
		if (result.empty()) {
			return false;
		}
		else {
			std::string target = "640x480 4 persons, 1 bus";
			// Check if the target text is found in the input text
			if (result.find(target) != std::string::npos) {
				std::cout << "Engine is installed correctly." << std::endl;
				return true;  // Text is found
			}
			else {
				std::cout << "Engine is not installed correctly." << std::endl;
				return false;  // Text is not found
			}
		}
	}
	//Private functions
	std::string ANYLOBBTRE::ParseMAP(const std::string& text) {
		std::regex valuePattern("all\\s+\\d+\\s+\\d+\\s+\\d\\.\\d+\\s+\\d\\.\\d+\\s+\\d\\.\\d+\\s+(\\d\\.\\d+)");
		std::smatch matches;
		if (std::regex_search(text, matches, valuePattern) && matches.size() > 1) {
			return matches[1].str();
		}
		else {
			return "0.00";
		}
	}
	std::string ANYLOBBTRE::AdjustRootDirectory(const std::string& root) {
		std::filesystem::path rootPath(root);
		std::vector<std::filesystem::path> subdirectories;
		for (const auto& entry : std::filesystem::directory_iterator(rootPath)) {
			if (entry.is_directory()) {
				subdirectories.push_back(entry.path());
			}
		}
		if (subdirectories.size() == 1) {
			return subdirectories[0].string();
		}
		else {
			return root;
		}
	}
	std::string ANYLOBBTRE::GenerateClassNames(std::string labelMapFile) {
		std::ifstream inFile(labelMapFile);

		if (!inFile.is_open()) {
			return "[]";
		}
		std::string classesNames = "[";
		std::string line;
		// Updated pattern: allows optional spaces between name and the colon
		std::regex namePattern(R"(name\s*:\s*'(.*)')");
		int fileLine = 0;
		while (std::getline(inFile, line)) {
			std::smatch matches;
			std::cout << line << std::endl;
			if (std::regex_search(line, matches, namePattern) && matches.size() > 1) {
				classesNames += matches[1].str() + ",";
				fileLine++;
			}
		}
		inFile.close();

		// Remove the last comma if there is one
		if (classesNames.back() == ',') {
			classesNames.pop_back();
		}

		classesNames += "]";
		return classesNames;
	}

	//		-data.yaml
	//			path:   sourceDataPath
	//			train:  images\train
	//			val : images\val
	//			names : [plate]

	bool ANYLOBBTRE::GenerateObjectDataFile(std::string sourcePbDataPath, std::string objectDataFile, bool useANSClassFile) {
		if (!FileExist(sourcePbDataPath)) return false;
		std::string projectDataName = GetParentFolder(objectDataFile);
		if (FileExist(objectDataFile))DeleteFile(objectDataFile);
		if (useANSClassFile) {
			// Get the class names from the ANSClass.json file
			std::vector<std::string> classVec = ParseANSClass(sourcePbDataPath);
			std::string classNames= ConvertVectorToClass(classVec);
			std::ofstream outFile(objectDataFile);
			outFile << "path: " << projectDataName << "\n";
			outFile << "train: " << "images\\train" << "\n";
			outFile << "val: " << "images\\val" << "\n";
			outFile << "names: " << classNames << "\n";
			outFile.close();
		}
		else {
			// Get the class names from the pbtxt file
			std::string classNames = GenerateClassNames(sourcePbDataPath);
			std::ofstream outFile(objectDataFile);
			outFile << "path: " << projectDataName << "\n";
			outFile << "train: " << "images\\train" << "\n";
			outFile << "val: " << "images\\val" << "\n";
			outFile << "names: " << classNames << "\n";
			outFile.close();
		}
		return true;
	}
	void ANYLOBBTRE::GenerateTrainDataSet(const std::string& sourceFolder, const std::string& imageFolder, const std::string& labelFolder, double trainRatio) {
		// 1. Create image and label folders
		if (FolderExist(imageFolder))DeleteFolder(imageFolder);
		if (FolderExist(labelFolder))DeleteFolder(labelFolder);
		fs::create_directory(imageFolder);
		fs::create_directory(labelFolder);

		// 2. Create train and val folders
		std::string trainImagesFolder = imageFolder + "\\train";
		std::string valImagesFolder = imageFolder + "\\val";
		if (FolderExist(trainImagesFolder))DeleteFolder(trainImagesFolder);
		if (FolderExist(valImagesFolder))DeleteFolder(valImagesFolder);
		fs::create_directory(trainImagesFolder);
		fs::create_directory(valImagesFolder);


		std::string trainLabelsFolder = labelFolder + "\\train";
		std::string valLabelsFolder = labelFolder + "\\val";
		if (FolderExist(trainLabelsFolder))DeleteFolder(trainLabelsFolder);
		if (FolderExist(valLabelsFolder))DeleteFolder(valLabelsFolder);
		fs::create_directory(trainLabelsFolder);
		fs::create_directory(valLabelsFolder);


		std::unordered_map<std::string, std::vector<std::filesystem::path>> fileGroups;
		for (const auto& entry : std::filesystem::directory_iterator(sourceFolder)) {
			std::string extension = entry.path().extension().string();
			boost::algorithm::to_lower(extension);

			if (entry.is_regular_file()) {
				if (extension == ".jpg" ||
					extension == ".jpeg" ||
					extension == ".png" ||
					extension == ".bmp") fileGroups[entry.path().stem().string()].push_back(entry.path());
			}
		}

		std::vector<std::string> groupNames;
		for (const auto& group : fileGroups) {
			groupNames.push_back(group.first);
		}
		size_t trainSize = static_cast<size_t>(groupNames.size() * trainRatio);
		for (size_t i = 0; i < groupNames.size(); ++i) {
			const auto& groupName = groupNames[i];
			const auto& files = fileGroups[groupName];
			for (const auto& file : files) {
				std::string txtSourceFile = sourceFolder + "\\" + GetFileNameWithoutExtension(file.filename().string()) + ".txt";
				if (i < trainSize) {
					std::string fileName = file.filename().string();
					std::string fileExtension = GetFileExtension(fileName);
					std::string txtTrainFile = trainLabelsFolder + "\\" + GetFileNameWithoutExtension(file.filename().string()) + ".txt";
					if (fileExtension == ".txt" ||
						fileExtension == ".jpeg" ||
						fileExtension == ".jpg" ||
						fileExtension == ".png" ||
						fileExtension == ".bmp")
					{
						if (FileExist(txtSourceFile)) {
							std::filesystem::copy(file, trainImagesFolder / file.filename());
							CopyFile(txtSourceFile, txtTrainFile);

						}
					}
				}
				else {
					std::string fileName = file.filename().string();
					std::string fileExtension = GetFileExtension(fileName);
					std::string txtTestFile = valLabelsFolder + "\\" + GetFileNameWithoutExtension(file.filename().string()) + ".txt";
					if (fileExtension == ".txt" ||
						fileExtension == ".jpeg" ||
						fileExtension == ".jpg" ||
						fileExtension == ".png" ||
						fileExtension == ".bmp")
					{
						if (FileExist(txtSourceFile)) {
							std::filesystem::copy(file, valImagesFolder / file.filename());
							CopyFile(txtSourceFile, txtTestFile);
						}
					}
				}
			}
		}
	}
	bool ANYLOBBTRE::GenerateConfigFile(const std::string& templateFile, const std::string& outputFile, const std::map<std::string, std::string>& replacements) {
		std::ifstream inFile(templateFile);
		std::ofstream outFile(outputFile);

		if (!inFile.is_open() || !outFile.is_open()) {
			return false;
		}

		std::string line;
		while (std::getline(inFile, line)) {
			for (const auto& replacement : replacements) {
				size_t pos = line.find("$" + replacement.first);
				while (pos != std::string::npos) {
					line.replace(pos, replacement.first.size() + 1, replacement.second);
					pos = line.find("$" + replacement.first, pos + replacement.second.size());
				}
			}
			outFile << line << "\n";
		}

		inFile.close();
		outFile.close();
		return FileExist(outputFile);
	}
	int ANYLOBBTRE::ReadClassesValue(const std::string& filePath) {
		std::ifstream inFile(filePath);
		if (!inFile.is_open()) {
			return 0;
		}
		std::ofstream outFile(filePath, std::ios_base::app);
		if (!outFile.is_open()) {
			return 0;
		}
		std::string currentFolderName = GetParentFolder(filePath);
		outFile << "backup = " << currentFolderName << "\n";
		outFile.close();

		std::string line;
		while (std::getline(inFile, line)) {
			if (line.find("classes") == 0) {
				size_t pos = line.find("=");
				if (pos != std::string::npos) {
					std::string classesValue = line.substr(pos + 1);
					inFile.close();
					return std::stoi(classesValue);
				}
			}
		}
		inFile.close();
		return 0;
	}
	void ANYLOBBTRE::DeleteWeightsFiles(const std::string& folderPath) {
		for (const auto& entry : std::filesystem::directory_iterator(folderPath)) {
			if (entry.is_regular_file() && entry.path().extension() == ".weights" && entry.path().filename() != "train_last.weights") {
				std::filesystem::remove(entry.path());
			}
		}
	}
	std::string ANYLOBBTRE::GenerateTestCommand(std::string projectName, int experimentNumber, bool& zipModelExist, const std::string& testDataFolder) {
		_projectName = Space2Underscore(projectName);
		zipModelExist = false;
		std::string projectPath = FindFilePathInFileList(_projects, _projectName);
		if (FolderExist(projectPath)) {
			std::string experimentPath = projectPath + "\\experiments\\" + std::to_string(experimentNumber);
			std::string trainScript = _engineDirectory + "\\yolo.exe";
			std::string trainCfgFile = experimentPath + "\\train.cfg";
			std::string preTrainWeightFile = experimentPath + "\\train_last.pt";
			std::string projectDataPath = projectPath + "\\data\\data.yaml";

			// Override the preTrainWeightFile if the experiment folder is already zipped
			std::string zipExperimentPath = experimentPath + ".zip";
			std::string experimentParentFolder = GetParentFolder(experimentPath);
			if (FileExist(zipExperimentPath)) { // If the experiment folder is already zipped, we need to unzip it
				bool unzipResult = ExtractProtectedZipFile(zipExperimentPath, _zipPassword, std::to_string(experimentNumber), experimentPath);
				if (!unzipResult) {
					unzipResult = ExtractProtectedZipFile(zipExperimentPath, _modelZipPassword, std::to_string(experimentNumber), experimentPath);
				}
				if (unzipResult) {
					zipModelExist = true;
				}
			}
			//Copy classes.names file to the experiment folder
			std::string classesNamesFile = projectPath + "\\data\\classes.names";
			std::string classNamesFile = experimentPath + "\\classes.names";
			if (FileExist(classNamesFile))DeleteFile(classNamesFile);
			if (FileExist(classesNamesFile))CopyFile(classesNamesFile, classNamesFile);

			std::string weightFolder = GetLatestValidFolderAndDeleteOthers(projectName, experimentPath);
			// Check if the last train weight file is exist
			std::string experimentResultPath = weightFolder;// experimentPath + "\\" + _projectName;
			std::string lastTrainWeightFile = experimentResultPath + "\\weights\\best.pt";
			if (FileExist(lastTrainWeightFile)) {
				CopyFile(lastTrainWeightFile, preTrainWeightFile);
				DeleteFolder(experimentResultPath);
			}

			if (!FileExist(trainScript))	this->_logger.LogError("ANYLOBBTRE::GenerateTestCommand", "ANYLOBBTRE Engine is not installed", __FILE__, __LINE__);
			if (!FileExist(trainCfgFile))	this->_logger.LogError("ANYLOBBTRE::GenerateTestCommand", "Missing train.cfg file", __FILE__, __LINE__);
			if (!FileExist(preTrainWeightFile))	this->_logger.LogError("ANYLOBBTRE::GenerateTestCommand", "Missing pre-trained weight file", __FILE__, __LINE__);
			if (!FileExist(classNamesFile))	this->_logger.LogError("ANYLOBBTRE::GenerateTestCommand", "Missing classes.names file", __FILE__, __LINE__);

			// Create test data yaml file
			std::string testYamlPath = testDataFolder + "\\data.yaml";
			std::string testDataFolder = testDataFolder + "\\data";
			// Content of the test data yaml file
			//	path: testDataFolder
			//  val : images
			//  names : [Cavity,Fillings,Impacted Tooth,Implant]

			// Classes.names content
			//	Cavity
			//	Fillings
			//	Impacted Tooth
			//	Implant

			std::string classNames;
			classNames = "[";
			// read line by line from the classNamesFile
			std::ifstream inFile(classNamesFile);
			if (!inFile.is_open()) {
				this->_logger.LogError("ANYLOBBTRE::GenerateTestCommand", "cannot open file to save model information.", __FILE__, __LINE__);
				return "";
			}
			std::string line;
			while (std::getline(inFile, line)) {
				classNames += line + ",";
			}
			inFile.close();
			// Remove the last comma if there is one
			if (classNames.back() == ',') {
				classNames.pop_back();
			}
			classNames += "]";

			std::ofstream outFile(testYamlPath);
			outFile << "path: " << testDataFolder << "\n";
			outFile << "val: " << "images" << "\n";
			outFile << "names: " << classNames << "\n";
			outFile.close();
			if ((FileExist(trainScript)) &&
				(FileExist(trainCfgFile)) &&
				(FileExist(preTrainWeightFile)) &&
				(FileExist(classNamesFile))) {
				std::string evaluateCommand = trainScript +
					" detect val model=" + "\"" + preTrainWeightFile + "\"" +
					" data=" + "\"" + testYamlPath + "\"" +
					" split=val" +
					" imgsz=640" +
					" workers=8" +
					" batch=8" +
					" device=0" +
					" conf=0.25" +
					" plots=False" +
					" save_json=False" +
					" iou=0.6";
				return evaluateCommand;
			}
			this->_logger.LogError("ANYLOBBTRE::GenerateTestCommand", "Missing configuration files", __FILE__, __LINE__);
			return "";
		}
		else {
			this->_logger.LogError("ANYLOBBTRE::GenerateTestCommand", "project path is not exist", __FILE__, __LINE__);
			return "";
		}
	}

}