package ai_predict_model

import (
	"encoding/json"
	"eta/eta_index_lib/models"
	aiPredictModel "eta/eta_index_lib/models/ai_predict_model"
	"eta/eta_index_lib/models/ai_predict_model/request"
	"eta/eta_index_lib/utils"
	"fmt"
	"strconv"
	"time"
)

// HandleTaskRecordFailByTaskRecord
// @Description: 任务标记失败
// @author: Roc
// @datetime 2025-05-09 16:24:48
// @param taskType string
// @param indexTaskRecordInfo *models.IndexTaskRecord
// @param indexConfigItem *ai_predict_model.AiPredictModelIndexConfig
// @param indexItem *ai_predict_model.AiPredictModelIndex
// @param errMsg string
func HandleTaskRecordFailByTaskRecord(taskType string, indexTaskRecordInfo *models.IndexTaskRecord, indexConfigItem *aiPredictModel.AiPredictModelIndexConfig, indexItem *aiPredictModel.AiPredictModelIndex, errMsg string) {
	var err error
	defer func() {
		if err != nil {
			utils.FileLog.Error(fmt.Sprintf(`HandleTaskRecordFailByTaskRecord err:%v`, err))
		}
	}()

	// 修改子任务状态
	indexTaskRecordInfo.Status = `处理失败`
	indexTaskRecordInfo.Remark = errMsg
	indexTaskRecordInfo.ModifyTime = time.Now()
	err = indexTaskRecordInfo.Update([]string{"status", "remark", "modify_time"})
	if err != nil {
		fmt.Println("修改子任务状态失败!")
		return
	}

	// 处理完成后标记任务状态
	defer func() {
		obj := models.IndexTaskRecord{}
		// 修改任务状态
		todoCount, tmpErr := obj.GetCountByCondition(fmt.Sprintf(` AND %s = ? AND %s = ? `, models.IndexTaskRecordColumns.IndexTaskID, models.IndexTaskRecordColumns.Status), []interface{}{indexTaskRecordInfo.IndexTaskID, `待处理`})
		if tmpErr != nil {
			err = fmt.Errorf("查找剩余任务数量失败, err: %s", tmpErr.Error())
			return
		}
		if todoCount <= 0 {
			indexTaskObj := models.IndexTask{}
			indexTaskInfo, tmpErr := indexTaskObj.GetByID(indexTaskRecordInfo.IndexTaskID)
			if tmpErr != nil {
				err = fmt.Errorf("查找任务失败, err: %s", tmpErr.Error())
				return
			}
			tmpUpdateCols := []string{`end_time`, "status", "update_time"}
			indexTaskInfo.EndTime = time.Now()
			indexTaskInfo.Status = `处理成功`
			indexTaskInfo.UpdateTime = time.Now()

			if indexTaskInfo.StartTime.IsZero() {
				indexTaskInfo.StartTime = time.Now()
				tmpUpdateCols = append(tmpUpdateCols, "start_time")
			}

			tmpErr = indexTaskInfo.Update(tmpUpdateCols)
			if tmpErr != nil {
				utils.FileLog.Error("标记任务状态失败, err: %s", tmpErr.Error())
			}
		}

		return
	}()

	// 修改模型状态
	switch taskType {
	case utils.INDEX_TASK_TYPE_AI_MODEL_TRAIN: // 训练模型
		// 修改模型状态信息
		if indexItem != nil {
			indexItem.TrainStatus = aiPredictModel.TrainStatusFailed
			indexItem.ModifyTime = time.Now()
			tmpErr := indexItem.Update([]string{"train_status", "modify_time"})
			if tmpErr != nil {
				utils.FileLog.Error("%d，修改模型训练状态失败, err: %s", indexItem.AiPredictModelIndexId, tmpErr.Error())
			}
		}

		// 修改模型配置状态信息
		if indexConfigItem != nil {
			indexConfigItem.TrainStatus = aiPredictModel.TrainStatusFailed
			indexConfigItem.Remark = errMsg
			indexConfigItem.ModifyTime = time.Now()
			tmpErr := indexConfigItem.Update([]string{"train_status", `remark`, "modify_time"})
			if tmpErr != nil {
				utils.FileLog.Error("%d，修改模型训练状态失败, err: %s", indexItem.AiPredictModelIndexId, tmpErr.Error())
			}
		}

	case utils.INDEX_TASK_TYPE_AI_MODEL_RUN: // 运行模型
		if indexItem != nil {
			indexItem.RunStatus = aiPredictModel.RunStatusFailed
			indexItem.ModifyTime = time.Now()
			tmpErr := indexItem.Update([]string{"run_status", "modify_time"})
			if tmpErr != nil {
				utils.FileLog.Error("%d，修改模型运行状态失败, err: %s", indexItem.AiPredictModelIndexId, tmpErr.Error())
			}
		}

	default:

		return
	}

	return
}

// HandleTaskRecordProcessingByTaskRecord
// @Description: 任务标记处理中
// @author: Roc
// @datetime 2025-05-09 16:24:38
// @param taskType string
// @param indexTaskRecordInfo *models.IndexTaskRecord
// @param indexConfigItem *ai_predict_model.AiPredictModelIndexConfig
// @param indexItem *ai_predict_model.AiPredictModelIndex
func HandleTaskRecordProcessingByTaskRecord(taskType string, indexTaskRecordInfo *models.IndexTaskRecord, indexConfigItem *aiPredictModel.AiPredictModelIndexConfig, indexItem *aiPredictModel.AiPredictModelIndex) {
	var err error
	defer func() {
		if err != nil {
			utils.FileLog.Error(fmt.Sprintf(`HandleTaskRecordFailByTaskRecord err:%v`, err))
		}
	}()

	// 修改子任务状态
	indexTaskRecordInfo.Status = `处理中`
	indexTaskRecordInfo.ModifyTime = time.Now()
	err = indexTaskRecordInfo.Update([]string{"status", "modify_time"})
	if err != nil {
		fmt.Println("修改子任务状态失败!")
		return
	}

	// 处理完成后标记任务状态
	defer func() {
		obj := models.IndexTaskRecord{}
		// 修改任务状态
		todoCount, tmpErr := obj.GetCountByCondition(fmt.Sprintf(` AND %s = ? AND %s = ? `, models.IndexTaskRecordColumns.IndexTaskID, models.IndexTaskRecordColumns.Status), []interface{}{indexTaskRecordInfo.IndexTaskID, `待处理`})
		if tmpErr != nil {
			err = fmt.Errorf("查找剩余任务数量失败, err: %s", tmpErr.Error())
			return
		}
		if todoCount <= 0 {
			indexTaskObj := models.IndexTask{}
			indexTaskInfo, tmpErr := indexTaskObj.GetByID(indexTaskRecordInfo.IndexTaskID)
			if tmpErr != nil {
				err = fmt.Errorf("查找任务失败, err: %s", tmpErr.Error())
				return
			}
			tmpUpdateCols := []string{`end_time`, "status", "update_time"}
			indexTaskInfo.EndTime = time.Now()
			indexTaskInfo.Status = `处理中`
			indexTaskInfo.UpdateTime = time.Now()

			if indexTaskInfo.StartTime.IsZero() {
				indexTaskInfo.StartTime = time.Now()
				tmpUpdateCols = append(tmpUpdateCols, "start_time")
			}

			tmpErr = indexTaskInfo.Update(tmpUpdateCols)
			if tmpErr != nil {
				utils.FileLog.Error("标记任务状态失败, err: %s", tmpErr.Error())
			}
		}

		return
	}()

	// 修改模型状态
	switch taskType {
	case utils.INDEX_TASK_TYPE_AI_MODEL_TRAIN: // 训练模型
		// 修改模型状态信息
		if indexItem != nil {
			indexItem.TrainStatus = aiPredictModel.TrainStatusTraining
			indexItem.ModifyTime = time.Now()
			tmpErr := indexItem.Update([]string{"train_status", "modify_time"})
			if tmpErr != nil {
				utils.FileLog.Error("%d，修改模型训练状态失败, err: %s", indexItem.AiPredictModelIndexId, tmpErr.Error())
			}
		}

		// 修改模型配置状态信息
		if indexConfigItem != nil {
			indexConfigItem.TrainStatus = aiPredictModel.TrainStatusTraining
			indexConfigItem.ModifyTime = time.Now()
			tmpErr := indexConfigItem.Update([]string{"train_status", "modify_time"})
			if tmpErr != nil {
				utils.FileLog.Error("%d，修改模型训练状态失败, err: %s", indexItem.AiPredictModelIndexId, tmpErr.Error())
			}
		}

	case utils.INDEX_TASK_TYPE_AI_MODEL_RUN: // 运行模型
		// 修改模型状态信息
		if indexItem != nil {
			indexItem.RunStatus = aiPredictModel.RunStatusRunning
			indexItem.ModifyTime = time.Now()
			tmpErr := indexItem.Update([]string{"run_status", "modify_time"})
			if tmpErr != nil {
				utils.FileLog.Error("%d，修改模型运行状态失败, err: %s", indexItem.AiPredictModelIndexId, tmpErr.Error())
			}
		}

	default:

		return
	}

	return
}

// HandleTaskRecordSuccessByTaskRecord
// @Description: 标记处理完成
// @author: Roc
// @datetime 2025-05-14 16:00:26
// @param taskType string
// @param indexTaskRecordInfo *models.IndexTaskRecord
// @param aiPredictModelImportData request.AiPredictModelImportData
func HandleTaskRecordSuccessByTaskRecord(taskType string, indexTaskRecordInfo *models.IndexTaskRecord, aiPredictModelImportData request.AiPredictModelImportData) {
	var err error
	defer func() {
		if err != nil {
			utils.FileLog.Error(fmt.Sprintf(`HandleTaskRecordFailByTaskRecord err:%v`, err))
		}
	}()

	// 修改子任务状态
	indexTaskRecordInfo.Status = `处理成功`
	//indexTaskRecordInfo.Remark = errMsg
	indexTaskRecordInfo.ModifyTime = time.Now()
	err = indexTaskRecordInfo.Update([]string{"status", "modify_time"})
	if err != nil {
		fmt.Println("修改子任务状态失败!")
		return
	}

	// 处理完成后标记任务状态
	defer func() {
		obj := models.IndexTaskRecord{}
		// 修改任务状态
		todoCount, tmpErr := obj.GetCountByCondition(fmt.Sprintf(` AND %s = ? AND %s = ? `, models.IndexTaskRecordColumns.IndexTaskID, models.IndexTaskRecordColumns.Status), []interface{}{indexTaskRecordInfo.IndexTaskID, `待处理`})
		if tmpErr != nil {
			err = fmt.Errorf("查找剩余任务数量失败, err: %s", tmpErr.Error())
			return
		}
		if todoCount <= 0 {
			indexTaskObj := models.IndexTask{}
			indexTaskInfo, tmpErr := indexTaskObj.GetByID(indexTaskRecordInfo.IndexTaskID)
			if tmpErr != nil {
				err = fmt.Errorf("查找任务失败, err: %s", tmpErr.Error())
				return
			}
			tmpUpdateCols := []string{`end_time`, "status", "update_time"}
			indexTaskInfo.EndTime = time.Now()
			indexTaskInfo.Status = `处理成功`
			indexTaskInfo.UpdateTime = time.Now()

			if indexTaskInfo.StartTime.IsZero() {
				indexTaskInfo.StartTime = time.Now()
				tmpUpdateCols = append(tmpUpdateCols, "start_time")
			}

			tmpErr = indexTaskInfo.Update(tmpUpdateCols)
			if tmpErr != nil {
				utils.FileLog.Error("标记任务状态失败, err: %s", tmpErr.Error())
			}
		}

		return
	}()

	indexOb := new(aiPredictModel.AiPredictModelIndex)

	// 修改模型状态
	switch taskType {
	case utils.INDEX_TASK_TYPE_AI_MODEL_TRAIN: // 训练模型
		// 训练模型
		indexConfigId, tmpErr := strconv.Atoi(indexTaskRecordInfo.Parameters) // 模型配置ID
		if tmpErr != nil {
			err = fmt.Errorf("模型配置ID转换错误, err: %s", tmpErr.Error())
			return
		}

		indexConfigObj := new(aiPredictModel.AiPredictModelIndexConfig)
		// 查找配置
		indexConfigItem, tmpErr := indexConfigObj.GetById(indexConfigId)
		if tmpErr != nil {
			err = fmt.Errorf("获取模型配置失败, err: %s", tmpErr.Error())
			return
		}

		// 查询标的情况
		indexItem, tmpErr := indexOb.GetItemById(indexConfigItem.AiPredictModelIndexId)
		if err != nil {
			err = fmt.Errorf("获取标的失败, err: %s", tmpErr.Error())
			return
		}

		handleTaskRecordSuccessByTrain(aiPredictModelImportData, indexConfigItem, indexItem)

	case utils.INDEX_TASK_TYPE_AI_MODEL_RUN: // 运行模型

		// 标的id转换
		indexId, tmpErr := strconv.Atoi(indexTaskRecordInfo.Parameters)
		if err != nil {
			err = fmt.Errorf("标的ID转换错误, err: %s", tmpErr.Error())
			return
		}

		// 查询标的情况
		indexItem, tmpErr := indexOb.GetItemById(indexId)
		if tmpErr != nil {
			err = fmt.Errorf("训练失败，查找标的失败, err: %s", tmpErr.Error())
			return
		}

		tmpErr = handleTaskRecordSuccessByRun(aiPredictModelImportData, indexItem)
		if tmpErr != nil {
			utils.FileLog.Error("%d，修改模型运行状态失败, err: %s", indexItem.AiPredictModelIndexId, tmpErr.Error())
		}

	default:

		return
	}

	return
}

// handleTaskRecordSuccessByTrain
// @Description: 处理模型训练成功后的操作
// @author: Roc
// @datetime 2025-05-14 18:25:12
// @param aiPredictModelImportData request.AiPredictModelImportData
// @param indexConfigItem *aiPredictModel.AiPredictModelIndexConfig
// @param indexItem *aiPredictModel.AiPredictModelIndex
// @return err error
func handleTaskRecordSuccessByTrain(aiPredictModelImportData request.AiPredictModelImportData, indexConfigItem *aiPredictModel.AiPredictModelIndexConfig, indexItem *aiPredictModel.AiPredictModelIndex) (err error) {
	defer func() {
		if err != nil {
			utils.FileLog.Error(fmt.Sprintf(`handleTaskRecordSuccessByTrain err:%v`, err))
		}
	}()

	// 标的状态修改
	updateIndexCols := []string{"train_status", "modify_time"}
	indexItem.TrainStatus = aiPredictModel.TrainStatusSuccess
	indexItem.ModifyTime = time.Now()

	updateIndexConfigCols := []string{"train_status", `remark`, "modify_time", `train_mse`, `train_r2`, `test_mse`, `test_r2`}
	// 配置状态修改
	{
		// 训练参数
		trainData := aiPredictModelImportData.TrainData
		indexConfigItem.TrainStatus = aiPredictModel.TrainStatusSuccess
		indexConfigItem.Remark = `成功`
		indexConfigItem.TrainMse = fmt.Sprint(trainData.TrainMse)
		indexConfigItem.TrainR2 = fmt.Sprint(trainData.TrainR2)
		indexConfigItem.TestMse = fmt.Sprint(trainData.TestMse)
		indexConfigItem.TestR2 = fmt.Sprint(trainData.TestR2)
		indexConfigItem.ModifyTime = time.Now()
	}

	indexConfigOb := new(aiPredictModel.AiPredictModelIndexConfig)

	dataList := make([]*aiPredictModel.AiPredictModelIndexConfigTrainData, 0)
	for _, tmpData := range aiPredictModelImportData.Data {
		tmpDate, e := time.ParseInLocation(utils.FormatDate, tmpData.DataTime, time.Local)
		if e != nil {
			err = fmt.Errorf("数据日期解析失败, %v", e)
			return
		}

		dataList = append(dataList, &aiPredictModel.AiPredictModelIndexConfigTrainData{
			//AiPredictModelDataId:  0,
			AiPredictModelIndexConfigId: indexConfigItem.AiPredictModelIndexConfigId,
			AiPredictModelIndexId:       indexItem.AiPredictModelIndexId,
			IndexCode:                   indexItem.IndexCode,
			DataTime:                    tmpDate,
			Value:                       tmpData.Value,
			PredictValue:                tmpData.PredictValue,
			Direction:                   tmpData.Direction,
			DeviationRate:               tmpData.DeviationRate,
			CreateTime:                  time.Now(),
			ModifyTime:                  time.Now(),
			DataTimestamp:               tmpData.DataTimestamp,
			Source:                      tmpData.Source,
		})
	}

	// 更新指标和数据
	err = indexConfigOb.UpdateIndexAndData(indexItem, indexConfigItem, dataList, updateIndexCols, updateIndexConfigCols)
	if err != nil {
		return
	}

	return
}

// handleTaskRecordSuccessByRun
// @Description: 运行中的数据处理
// @author: Roc
// @datetime 2025-05-14 14:28:11
// @param aiPredictModelImportData request.AiPredictModelImportData
// @param indexItem *aiPredictModel.AiPredictModelIndex
// @return err error
func handleTaskRecordSuccessByRun(aiPredictModelImportData request.AiPredictModelImportData, indexItem *aiPredictModel.AiPredictModelIndex) (err error) {
	defer func() {
		defer func() {
			if err != nil {
				utils.FileLog.Error(fmt.Sprintf(`handleTaskRecordSuccessByRun err:%v`, err))
			}
		}()
	}()

	indexOb := new(aiPredictModel.AiPredictModelIndex)

	updateCols := []string{indexOb.Cols().RunStatus, indexOb.Cols().PredictValue, indexOb.Cols().DirectionAccuracy, indexOb.Cols().AbsoluteDeviation, indexOb.Cols().ExtraConfig, indexOb.Cols().ModifyTime}

	// 预测日期，理论上是需要改的，可是产品说不需要改，所以暂时不改
	updateCols = append(updateCols, indexOb.Cols().PredictDate)
	indexItem.RunStatus = aiPredictModel.RunStatusSuccess
	indexItem.PredictValue = aiPredictModelImportData.Index.PredictValue
	indexItem.DirectionAccuracy = aiPredictModelImportData.Index.DirectionAccuracy
	indexItem.AbsoluteDeviation = aiPredictModelImportData.Index.AbsoluteDeviation
	indexItem.ModifyTime = time.Now()

	predictDate, e := time.ParseInLocation(utils.FormatDate, aiPredictModelImportData.Index.PredictDate, time.Local)
	if e != nil {
		err = fmt.Errorf("预测日期解析失败, %v", e)
		return
	}
	indexItem.PredictDate = predictDate

	// 图例信息
	if indexItem.ExtraConfig != "" && aiPredictModelImportData.Index.ExtraConfig != "" {
		var oldConfig, newConfig aiPredictModel.AiPredictModelIndexExtraConfig
		if e := json.Unmarshal([]byte(indexItem.ExtraConfig), &oldConfig); e != nil {
			err = fmt.Errorf("标的原配置解析失败, Config: %s, Err: %v", indexItem.ExtraConfig, e)
			return
		}
		if e := json.Unmarshal([]byte(aiPredictModelImportData.Index.ExtraConfig), &newConfig); e != nil {
			err = fmt.Errorf("标的新配置解析失败, Config: %s, Err: %v", aiPredictModelImportData.Index.ExtraConfig, e)
			return
		}
		oldConfig.DailyChart.PredictLegendName = newConfig.DailyChart.PredictLegendName
		b, _ := json.Marshal(oldConfig)
		indexItem.ExtraConfig = string(b)
	}

	dataList := make([]*aiPredictModel.AiPredictModelData, 0)
	for _, tmpData := range aiPredictModelImportData.Data {
		tmpDate, e := time.ParseInLocation(utils.FormatDate, tmpData.DataTime, time.Local)
		if e != nil {
			err = fmt.Errorf("数据日期解析失败, %v", e)
			return
		}

		dataList = append(dataList, &aiPredictModel.AiPredictModelData{
			//AiPredictModelDataId:  0,
			AiPredictModelIndexId: indexItem.AiPredictModelIndexId,
			IndexCode:             indexItem.IndexCode,
			DataTime:              tmpDate,
			Value:                 tmpData.Value,
			PredictValue:          tmpData.PredictValue,
			Direction:             tmpData.Direction,
			DeviationRate:         tmpData.DeviationRate,
			CreateTime:            time.Now(),
			ModifyTime:            time.Now(),
			DataTimestamp:         tmpData.DataTimestamp,
			Source:                tmpData.Source,
		})
	}

	// 更新指标和数据
	err = indexOb.UpdateIndexAndData(indexItem, dataList, updateCols)
	if err != nil {
		return
	}

	return
}