package data

import (
	"errors"
	"hongze/hongze_chart_lib/models"
	"hongze/hongze_chart_lib/models/data_manage"
	"hongze/hongze_chart_lib/utils"
	"time"
)

// GetChartPredictEdbInfoDataList 获取图表的预测指标的未来数据
func GetChartPredictEdbInfoDataList(predictEdbConf data_manage.PredictEdbConf, filtrateStartDateStr, latestDateStr string, lastDataValue float64, endDateStr, frequency string) (predictEdbInfoData []*models.EdbDataList, err error) {
	endDate, err := time.ParseInLocation(utils.FormatDate, endDateStr, time.Local)
	if err != nil {
		return
	}

	latestDate, err := time.ParseInLocation(utils.FormatDate, latestDateStr, time.Local)
	if err != nil {
		return
	}

	// 开始预测数据的时间
	startDate := latestDate

	// 如果有筛选时间的话
	if filtrateStartDateStr != `` {
		filtrateStartDate, tmpErr := time.ParseInLocation(utils.FormatDate, filtrateStartDateStr, time.Local)
		if tmpErr != nil {
			err = tmpErr
			return
		}
		//如果筛选时间晚于实际数据时间，那么就以筛选时间作为获取预测数据的时间
		if filtrateStartDate.After(latestDate) {
			startDate = filtrateStartDate.AddDate(0, 0, -1)
		}
	}

	dataValue := lastDataValue
	if predictEdbConf.RuleType == 2 {
		dataValue = predictEdbConf.FixedValue
	}
	//获取后面的预测数据
	dayList := getPredictEdbDayList(startDate, endDate, frequency)
	predictEdbInfoData = make([]*models.EdbDataList, 0)
	for k, v := range dayList {
		predictEdbInfoData = append(predictEdbInfoData, &models.EdbDataList{
			EdbDataId:     predictEdbConf.PredictEdbInfoId + 10000000000 + k,
			EdbInfoId:     predictEdbConf.PredictEdbInfoId,
			DataTime:      v.Format(utils.FormatDate),
			Value:         dataValue,
			DataTimestamp: (v.UnixNano() / 1e6) + 1000, //前端需要让加1s，说是2022-09-01 00:00:00 这样的整点不合适
		})
	}
	return
}

// GetPredictEdbDayList 获取预测指标日期列表
func getPredictEdbDayList(startDate, endDate time.Time, frequency string) (dayList []time.Time) {
	//if !utils.InArrayByStr([]string{"日度", "周度", "月度"}, frequency)
	switch frequency {
	case "日度":
		for currDate := startDate.AddDate(0, 0, 1); currDate.Before(endDate) || currDate.Equal(endDate); currDate = currDate.AddDate(0, 0, 1) {
			//周六、日排除
			if currDate.Weekday() == time.Sunday || currDate.Weekday() == time.Saturday {
				continue
			}
			dayList = append(dayList, currDate)
		}
	case "周度":
		//nextDate := startDate.AddDate(0, 0, 7)
		for currDate := startDate.AddDate(0, 0, 7); currDate.Before(endDate) || currDate.Equal(endDate); currDate = currDate.AddDate(0, 0, 7) {
			dayList = append(dayList, currDate)
		}
	case "月度":
		for currDate := startDate; currDate.Before(endDate) || currDate.Equal(endDate); {
			currDate = time.Date(currDate.Year(), currDate.Month(), 1, 0, 0, 0, 0, time.Now().Location()).AddDate(0, 2, -1)
			if !currDate.After(endDate) {
				dayList = append(dayList, currDate)
			}
		}
	}
	return
}

// GetPredictDataListByPredictEdbInfoId 根据预测指标id获取预测指标的数据
func GetPredictDataListByPredictEdbInfoId(edbInfoId int, startDate, endDate string, isTimeBetween bool) (dataList []*models.EdbDataList, sourceEdbInfoItem *data_manage.EdbInfo, predictEdbConf *data_manage.PredictEdbConf, err error, errMsg string) {
	edbInfo, err := data_manage.GetEdbInfoById(edbInfoId)
	if err != nil {
		errMsg = `获取预测指标信息失败`
		return
	}
	return GetPredictDataListByPredictEdbInfo(edbInfo, startDate, endDate, isTimeBetween)
}

// GetPredictDataListByPredictEdbInfo 根据预测指标信息获取预测指标的数据
func GetPredictDataListByPredictEdbInfo(edbInfo *data_manage.EdbInfo, startDate, endDate string, isTimeBetween bool) (dataList []*models.EdbDataList, sourceEdbInfoItem *data_manage.EdbInfo, predictEdbConf *data_manage.PredictEdbConf, err error, errMsg string) {
	// 查找该预测指标配置
	predictEdbConf, err = data_manage.GetPredictEdbConfById(edbInfo.EdbInfoId)
	if err != nil && err.Error() != utils.ErrNoRow() {
		errMsg = "获取预测指标配置信息失败"
		return
	}
	if predictEdbConf == nil {
		errMsg = "获取预测指标配置信息失败"
		err = errors.New(errMsg)
		return
	}

	// 来源指标
	sourceEdbInfoItem, err = data_manage.GetEdbInfoById(predictEdbConf.SourceEdbInfoId)
	if err != nil {
		if err.Error() == utils.ErrNoRow() {
			errMsg = "找不到来源指标信息"
			err = errors.New(errMsg)
		}
		return
	}

	//获取指标数据（实际已生成）
	dataList, err = models.GetEdbDataList(sourceEdbInfoItem.Source, sourceEdbInfoItem.EdbInfoId, startDate, endDate)
	if err != nil {
		return
	}

	// 获取预测指标未来的数据
	predictDataList := make([]*models.EdbDataList, 0)

	endDateStr := edbInfo.EndDate //预测指标的结束日期

	if isTimeBetween { //如果是时间区间，那么
		reqEndDateTime, _ := time.ParseInLocation(utils.FormatDate, endDate, time.Local)
		endDateTime, _ := time.ParseInLocation(utils.FormatDate, edbInfo.EndDate, time.Local)
		// 如果选择的时间区间结束日期 晚于 当天，那么预测数据截止到当天
		if reqEndDateTime.Before(endDateTime) {
			endDateStr = endDate
		}
	}
	predictDataList, err = GetChartPredictEdbInfoDataList(*predictEdbConf, startDate, sourceEdbInfoItem.LatestDate, sourceEdbInfoItem.LatestValue, endDateStr, edbInfo.Frequency)
	if err != nil {
		return
	}
	dataList = append(dataList, predictDataList...)
	if len(predictDataList) > 0 {
		tmpValue := predictDataList[0]

		// 如果最大值 小于 预测值，那么将预测值作为最大值数据返回
		if edbInfo.MaxValue < tmpValue.Value {
			edbInfo.MaxValue = tmpValue.Value
		}

		// 如果最小值 大于 预测值，那么将预测值作为最小值数据返回
		if edbInfo.MinValue > tmpValue.Value {
			edbInfo.MinValue = tmpValue.Value
		}
	}
	return
}