kpt-pasture/module/crontab/neck_ring.go

package crontab

import (
	"fmt"
	"kpt-pasture/model"
	"math"
	"time"

	"gorm.io/gorm"

	pasturePb "gitee.com/xuyiping_admin/go_proto/proto/go/backend/cow"
	"gitee.com/xuyiping_admin/pkg/xerr"
)

const (
	DefaultLimit    = 10000
	MinChangeFilter = -99
	MinRuminaFilter = -99
	MinChewFilter   = -99
	MinChangeHigh   = -99
	DefaultNb       = 30
)

// NeckRingOriginalMergeData 把脖环数据合并成2个小时的
func (e *Entry) NeckRingOriginalMergeData() error {
	// 先看看上次任务有没有执行结束，结束在执行下面的任务
	if ok := e.IsExistCrontabLog(NeckRingOriginal); ok {
		return nil
	}

	e.CreateCrontabLog(NeckRingOriginal)
	defer func() {
		e.DeleteCrontabLog(NeckRingOriginal)
	}()

	limit := e.Cfg.NeckRingLimit
	if limit <= 0 {
		limit = DefaultLimit
	}
	neckRingList := make([]*model.NeckRingOriginal, 0)
	if err := e.DB.Model(new(model.NeckRingOriginal)).
		Where("is_show = ?", pasturePb.IsShow_No).
		Limit(int(limit)).
		Find(&neckRingList).Error; err != nil {
		return xerr.WithStack(err)
	}

	if len(neckRingList) <= 0 {
		return nil
	}

	neckRingIds := make([]int64, 0)
	originalMapData := make(map[string]*model.NeckRingOriginalMerge)
	// 合并成2个小时的
	for _, v := range neckRingList {
		neckRingIds = append(neckRingIds, v.Id)
		xframeId := int(math.Floor(float64(v.FrameId)/10) * 2)
		mapKey := fmt.Sprintf("%s%s%s%s%d", v.Imei, model.JoinKey, v.ActiveDate, model.JoinKey, xframeId) // 0001/2023-12-04/0 0001/2023-12-03/4
		if _, ok := originalMapData[mapKey]; !ok {
			originalMapData[mapKey] = new(model.NeckRingOriginalMerge)
		}
		v.IsAvgHours()
		originalMapData[mapKey].IsMageData(v)
	}

	// 算平均值
	for _, v := range originalMapData {
		v.SumAvg()
	}

	weeklyActive := &model.SystemConfigure{}
	if err := e.DB.Model(new(model.SystemConfigure)).
		Where("name = ?", model.WeeklyActive).
		Where("is_show = ?", pasturePb.IsShow_Ok).
		First(weeklyActive).Error; err != nil {
		return xerr.WithStack(err)
	}

	// 更新脖环牛只相关信息
	newNeckActiveHabitList := model.NeckRingOriginalMap(originalMapData).ForMatData(weeklyActive.Value, e.GetCowInfoByImei)

	if err := e.DB.Transaction(func(tx *gorm.DB) error {
		// 更新已处理过的id
		if len(neckRingIds) > 0 {
			if err := tx.Model(new(model.NeckRingOriginal)).
				Where("id IN ?", neckRingIds).
				Update("is_show", pasturePb.IsShow_Ok).
				Error; err != nil {
				return xerr.WithStack(err)
			}
		}

		for _, neckActiveHabit := range newNeckActiveHabitList {
			// 新数据直接插入
			if e.IsExistNeckActiveHabit(neckActiveHabit.NeckRingNumber, neckActiveHabit.Frameid) <= 0 {
				if err := tx.Create(neckActiveHabit).Error; err != nil {
					return xerr.WithStack(err)
				}
				continue
			}

			// 更新数据
			historyNeckActiveHabit := e.GetNeckActiveHabit(neckActiveHabit.NeckRingNumber, neckActiveHabit.Frameid)
			historyNeckActiveHabit.MergeData(neckActiveHabit)
			if err := tx.Model(new(model.NeckActiveHabit)).
				Select("rumina", "rumina", "intake", "gasp", "other", "high", "active").
				Where("id = ?", historyNeckActiveHabit.Id).
				Updates(historyNeckActiveHabit).Error; err != nil {
				return xerr.WithStack(err)
			}
		}
		return nil
	}); err != nil {
		return xerr.WithStack(err)
	}
	return nil
}

func (e *Entry) ActiveHabit() error {
	lastMaxHabitId := e.GetSystemConfigure(model.MaxHabit).Value
	currentMaxHabit := &model.NeckActiveHabit{}
	if err := e.DB.Model(new(model.NeckActiveHabit)).
		Order("id desc").First(currentMaxHabit).Error; err != nil {
		return xerr.WithStack(err)
	}

	// 本次执行<=上次执行的id，则不执行
	if currentMaxHabit.Id < int64(lastMaxHabitId) {
		return nil
	}

	// 统一更新is_max_time为0
	if err := e.DB.Model(new(model.NeckActiveHabit)).
		Where("is_max_time = ?", pasturePb.IsShow_Ok).
		Update("is_max_time", pasturePb.IsShow_No).Error; err != nil {
		return xerr.WithStack(err)
	}

	// 获取这段执行数据内最大日期和最小日期
	xToday := &XToday{}
	if err := e.DB.Model(new(model.NeckActiveHabit)).
		Select(`MIN(h.heat_date) as x_beg_date, MAX(h.heat_date) as x_end_date`).
		Where("id BETWEEN ? AND ?", lastMaxHabitId, currentMaxHabit).
		First(xToday).Error; err != nil {
		return xerr.WithStack(err)
	}

	xToday.LastMaxHabitId = int64(lastMaxHabitId)
	xToday.CurrMaxHabitId = currentMaxHabit.Id

	minHeatDateParse, err := time.Parse(model.LayoutDate2, xToday.XBegDate)
	if err != nil {
		return xerr.WithStack(err)
	}
	xBefore2Day := minHeatDateParse.AddDate(0, 0, -1).Format(model.LayoutDate2)
	xBefore7Day := minHeatDateParse.AddDate(0, 0, -7).Format(model.LayoutDate2)
	xMin2Id, err := e.GetMinIdByHeatDate(xBefore2Day, xToday.LastMaxHabitId)
	if err != nil {
		return xerr.WithStack(err)
	}

	xMin7Id, err := e.GetMinIdByHeatDate(xBefore7Day, xToday.LastMaxHabitId)
	if err != nil {
		return xerr.WithStack(err)
	}
	xToday.XMin2Id = xMin2Id
	xToday.XMin7Id = xMin7Id

	//  id到上一次执行结果并且heat_date > 7天之前的最大牛只id置为is_max_time=1
	sqlQuery := e.DB.Model(new(model.NeckActiveHabit)).
		Select("MAX(id) as id").
		Where("id BETWEEN ? AND ?", xToday.XMin2Id, xToday.LastMaxHabitId).
		Where("change_filter > ?", MinChangeFilter).
		Where("heat_date >", xBefore7Day).
		Group("cow_id")

	if err = e.DB.Model(new(model.NeckActiveHabit)).
		Joins("JOIN (?) bb ON neck_active_habit.id = bb.id", sqlQuery).
		Update("is_max_time", pasturePb.IsShow_Ok).Error; err != nil {
		return xerr.WithStack(err)
	}

	activeLowest := e.GetSystemConfigure(model.ActiveLowest)
	ruminaLowest := e.GetSystemConfigure(model.RuminaLowest)
	xToday.ActiveLowest = int64(activeLowest.Value)
	xToday.RuminaLowest = int64(ruminaLowest.Value)

	// 更新活动滤波
	if err = e.FilterUpdate(xToday); err != nil {
		return xerr.WithStack(err)
	}
	// 更新周平均值
	if err = e.WeeklyActiveAvgUpdate(xToday); err != nil {
		return xerr.WithStack(err)
	}

	// 更新最后一次执行的id值
	if err = e.DB.Model(new(model.SystemConfigure)).
		Where("name = ?", model.MaxHabit).
		Update("value = ?", xToday.CurrMaxHabitId+1).
		Error; err != nil {
		return xerr.WithStack(err)
	}
	return nil
}

// FilterUpdate 更新活动滤波
func (e *Entry) FilterUpdate(xToDay *XToday) error {
	newNeckActiveHabitList := make([]*model.NeckActiveHabit, 0)
	if err := e.DB.Model(new(model.NeckActiveHabit)).
		Where(e.DB.Where("change_filter = ?", model.DefaultChangeFilter).Or("is_max_time = ?", pasturePb.IsShow_Ok)).
		Where(e.DB.Where("high >= ?", xToDay.ActiveLowest).Or("rumina >= ?", xToDay.RuminaLowest)).
		Order("cow_id,id").
		Find(&newNeckActiveHabitList).Error; err != nil {
		return xerr.WithStack(err)
	}

	var filterValues = make(map[int64]*model.NeckActiveHabit)
	// 活动量滤波
	for _, v := range newNeckActiveHabitList {
		prev, ok := filterValues[v.CowId]
		if !ok {
			if v.FilterHigh <= 0 {
				v.FilterHigh = v.High
			}
			if v.FilterRumina <= 0 {
				v.FilterRumina = v.Rumina
			}
			if v.FilterChew <= 0 {
				v.FilterChew = v.Rumina + v.Intake
			}
			filterValues[v.CowId] = v
			continue
		}
		if v.FilterHigh <= 0 {
			v.FilterHigh = int32(computeIfPositiveElse(float64(v.High), float64(prev.FilterHigh), 0.23, 0.77))
		}
		if v.FilterRumina <= 0 {
			v.FilterRumina = int32(computeIfPositiveElse(float64(v.Rumina), float64(prev.FilterRumina), 0.33, 0.67))
		}
		if v.FilterChew <= 0 {
			v.FilterChew = int32(computeIfPositiveElse(float64(v.Rumina+v.Intake), float64(prev.FilterChew), 0.33, 0.67))
		}
		// 更新过滤值
		filterValues[v.CowId] = v
		if err := e.DB.Model(new(model.NeckActiveHabit)).
			Select("filter_high", "filter_rumina", "filter_chew").
			Where("id = ?", v.Id).
			Updates(v).Error; err != nil {
			return xerr.WithStack(err)
		}
	}
	return nil
}

func (e *Entry) WeeklyActiveAvgUpdate(xToday *XToday) error {
	beginDayDate, err := time.Parse(model.LayoutDate2, xToday.XBegDate)
	if err != nil {
		return xerr.WithStack(err)
	}
	before7DayDate := beginDayDate.AddDate(0, 0, -7).Format(model.LayoutDate2)
	before1DayDate := beginDayDate.AddDate(0, 0, -1).Format(model.LayoutDate2)

	weeklyActive := e.GetSystemConfigure(model.WeeklyActive)
	xframeId := int64(0)
	maxXframeId := int64(11)
	xStartDate, _ := time.Parse(model.LayoutDate2, xToday.XBegDate)
	xEndDate, _ := time.Parse(model.LayoutDate2, xToday.XEndDate)
	for xStartDate.Format(model.LayoutDate2) < xEndDate.Format(model.LayoutDate2) || (xStartDate == xEndDate && xframeId <= maxXframeId) {
		//  时间点周平均
		AvgHabitList := make([]*AvgHabit, 0)
		if err = e.DB.Model(new(model.NeckActiveHabit)).
			Select("cow_id").
			Select("IF(COUNT(1)>=3, ROUND((SUM(filter_high) -MIN(filter_high) -MAX(filter_high))/ABS(COUNT(1) -2),0), -1) as avg_high_habit").
			Select("IF(COUNT(1)>=3, ROUND((SUM(filter_rumina) -MIN(filter_rumina) -MAX(filter_rumina))/ABS(COUNT(1) -2),0), -1) as avg_rumina_habit").
			Select("IF(COUNT(1)>=3, ROUND((SUM(filter_chew) -MIN(filter_chew) -MAX(filter_chew))/ABS(COUNT(1) -2),0), -1) as avg_chew_habit").
			Select("ROUND(AVG(intake),0) as avg_intake_habit").
			Select("ROUND(AVG(inactive),0) as avg_inactive_habit").
			Where("id BETWEEN ? AND ?", xToday.XMin7Id, xToday.CurrMaxHabitId).
			Where("heat_date BETWEEN ? AND ?", before7DayDate, before1DayDate).
			Where("frameid = ?", xframeId).
			Where("change_filter = ?", model.DefaultChangeFilter).
			Where(e.DB.Where("high > ?", xToday.ActiveLowest).Or("rumina > ?", xToday.RuminaLowest)).
			Group("cow_id").
			Find(&AvgHabitList).Error; err != nil {
			return xerr.WithStack(err)
		}
		for _, v := range AvgHabitList {
			if err := e.DB.Model(new(model.NeckActiveHabit)).
				Select("week_avg_high_habit", "avg_rumina_habit", "avg_chew_habit", "avg_intake_habit", "avg_inactive_habit").
				Where("cow_id = ?", v.CowId).
				Where("id BETWEEN ? AND ?", xToday.LastMaxHabitId, xToday.CurrMaxHabitId).
				Where("frameid = ?", xframeId).
				Where("change_filter = ?", model.DefaultChangeFilter).
				Where("heat_date = ?", xStartDate).
				Updates(v).Error; err != nil {
				return xerr.WithStack(err)
			}
		}

		// 累计24小时数值
		sumHabitList := make([]*SumHabit, 0)
		if err = e.DB.Model(new(model.NeckActiveHabit)).
			Select("cow_id").
			Select("IF(COUNT(1)>6, ROUND(AVG( h2.filter_rumina)*12,0), 0) as sum_rumina").
			Select("IF(COUNT(1)>6, ROUND(AVG( h2.intake)*12,0), 0) as sum_intake").
			Select("IF(COUNT(1)>6, ROUND(AVG( h2.inactive)*12,0), 0) as sum_inactive").
			Select("IF(COUNT(1)>6, ROUND(AVG( h2.active)*12,0), 0) as sum_active").
			Select("MAX(h2.change_filter) as sum_max_high").
			Select("MIN(IF(change_filter > ?, change_filter, 0)) as sum_min_high", MinChangeFilter).
			Select("MIN( CASE WHEN filter_chew > ? THEN filter_chew WHEN filter_rumina >= ? THEN filter_rumina ELSE 0 END) as sum_min_chew", MinChangeFilter, MinRuminaFilter).
			Where("id BETWEEN ? AND ?", xToday.XMin2Id, xToday.CurrMaxHabitId).
			Where("heat_date BETWEEN ? AND ?", xStartDate.AddDate(0, 0, -1).Format(model.LayoutDate2), xStartDate.Format(model.LayoutDate2)).
			Where("created_at BETWEEN ? AND ?", xStartDate.Add(-23*time.Hour).Unix(), xStartDate.Unix()).
			Where(e.DB.Where("high > ?", xToday.ActiveLowest).Or("rumina >= ?", xToday.RuminaLowest)).
			Group("cow_id").
			Find(&sumHabitList).Error; err != nil {
			return xerr.WithStack(err)
		}

		for _, v := range sumHabitList {
			if err = e.DB.Model(new(model.NeckActiveHabit)).
				Select("sum_rumina", "sum_intake", "sum_inactive", "sum_active", "sum_max_high", "sum_min_high", "sum_min_chew").
				Where("cow_id = ?", v.CowId).
				Where("id BETWEEN ? AND ?", xToday.LastMaxHabitId, xToday.CurrMaxHabitId).
				Where("heat_date = ?", xStartDate.Format(model.LayoutDate2)).
				Where("frameid = ?", xframeId).
				Where("change_filter = ?", model.DefaultChangeFilter).
				Updates(v).Error; err != nil {
				return xerr.WithStack(err)
			}
		}
		// 变化百分比
		changeHabitList := make([]*model.NeckActiveHabit, 0)
		if err = e.DB.Model(new(model.NeckActiveHabit)).
			Where("id BETWEEN ? AND ?", xToday.LastMaxHabitId, xToday.CurrMaxHabitId).
			Where("heat_date = ?", xStartDate.Format(model.LayoutDate2)).
			Where("frameid = ?", xframeId).
			Where("change_filter = ?", model.DefaultChangeFilter).
			Where("week_avg_high_habit > ?", 0).
			Where(e.DB.Where("high > ?", xToday.ActiveLowest).Or("rumina >= ?", xToday.RuminaLowest)).
			Find(&changeHabitList).Error; err != nil {
			return xerr.WithStack(err)
		}

		for _, v := range changeHabitList {
			if v.FilterHigh-v.AvgHighHabit > 0 {
				v.ChangeHigh = (v.FilterHigh - v.AvgHighHabit) / int32(float64(v.WeekHigh)*0.6+float64(v.AvgHighHabit)*0.2+float64(weeklyActive.Value)*0.2)
			} else {
				v.ChangeHigh = v.FilterHigh - v.AvgHighHabit/v.AvgHighHabit*100
			}

			v.ChangeRumina = v.RuminaFilter - v.AvgRuminaHabit/v.AvgHighHabit*100
			v.ChangeChew = v.FilterChew - v.AvgChewHabit/v.AvgHighHabit*100
			if err = e.DB.Model(new(model.NeckActiveHabit)).
				Select("change_high", "change_rumina", "change_chew").
				Where("id = ?", v.Id).
				Updates(v).Error; err != nil {
				return xerr.WithStack(err)
			}
		}

		if xframeId == maxXframeId {
			xframeId = 0
			xStartDate = xStartDate.AddDate(0, 0, 1)
		} else {
			xframeId++
		}
	}

	return nil
}

// UpdateChangeFilter  变化趋势滤波
func (e *Entry) UpdateChangeFilter(xToday *XToday) error {
	xRuminaDisc := e.GetSystemConfigure(model.XRuminaDisc)
	xChangeDiscount := e.GetSystemConfigure(model.XChangeDiscount)
	newChangeFilterList := make([]*ChangeFilterData, 0)
	if err := e.DB.Model(new(model.NeckActiveHabit)).
		Select("id,cow_id,change_high,change_filter,rumina_filter,change_rumina,chew_filter,change_chew").
		Select("IF(lact=0,0.8,1) as xlc_dis_count").
		Where("id BETWEEN ? AND ?", xToday.XMin2Id, xToday.CurrMaxHabitId).
		Where(e.DB.Where("change_filter = ?", model.DefaultChangeFilter).Or("is_max_time = ?", pasturePb.IsShow_Ok)).
		Where("change_high > ?", MinChangeHigh).
		Order("cow_id,heat_date,frameid").
		Find(&newChangeFilterList).Error; err != nil {
		return xerr.WithStack(err)
	}
	var filterValues = make(map[int64]*ChangeFilterData)
	for _, v := range newChangeFilterList {
		prev, ok := filterValues[v.CowId]
		if v.ChangeFilter <= MinChangeFilter {
			prefChangeFilter := int32(0)
			if ok {
				prefChangeFilter = prev.ChangeFilter
			}
			leastValue := v.HighChange
			if prefChangeFilter < v.HighChange {
				leastValue = prefChangeFilter
			}
			v.ChangeFilter = int32(float64(prefChangeFilter)*(1-(float64(xChangeDiscount.Value)/10)*v.XlcDisCount) +
				float64(leastValue)*(float64(xChangeDiscount.Value)/10)*v.XlcDisCount)
		}

		if v.RuminaFilter <= MinChangeFilter {
			prefRuminaFilter := int32(0)
			if ok {
				prefRuminaFilter = prev.RuminaFilter
			}

			factor := float64(1)
			if math.Abs(float64(v.ChangeRumina)) > 60 {
				factor = 0.5
			}

			v.RuminaFilter = int32(float64(prefRuminaFilter)*(1-float64(xRuminaDisc.Value/10)*v.XlcDisCount*factor) +
				float64(v.ChangeRumina)*float64(xRuminaDisc.Value)/10*v.XlcDisCount*factor)

		}
		if v.RuminaFilter > 50 {
			v.RuminaFilter = 50
		}

		if v.ChewFilter <= MinChangeFilter {
			prefChewFilter := int32(0)
			if ok {
				prefChewFilter = prev.ChewFilter
			}
			factor := float64(1)
			if math.Abs(float64(v.ChangeChew)) > 60 {
				factor = 0.5
			}

			v.ChewFilter = int32(float64(prefChewFilter)*(1-float64(xRuminaDisc.Value)/10*factor) +
				float64(v.ChangeChew)*float64(xRuminaDisc.Value)/10*factor)
		}

		if v.ChewFilter > 50 {
			v.ChangeChew = 50
		}
		if err := e.DB.Model(new(model.NeckActiveHabit)).
			Select("change_filter", "rumina_filter", "chew_filter").
			Where("id = ?", v.Id).
			Where("cow_id = ?", v.CowId).
			Where("change_filter = ?", model.DefaultChangeFilter).
			Updates(v).Error; err != nil {
			return xerr.WithStack(err)
		}
		filterValues[v.CowId] = v
	}

	return nil
}

// ActivityVolumeChanges 计算活动量变化趋势校正值（活跃度校正）
func (e *Entry) ActivityVolumeChanges(xToday *XToday) error {
	currDate, _ := time.Parse(model.LayoutDate2, xToday.XBegDate)
	XEndDateTime, _ := time.Parse(model.LayoutDate2, xToday.XEndDate)
	xframeId := int64(0)
	maxXframeId := int64(11)
	dayTimes := int64(1)
	for currDate.Format(model.LayoutDate2) < XEndDateTime.Format(model.LayoutDate2) || (currDate == XEndDateTime && xframeId <= maxXframeId) {
		activityVolumeList := make([]*ActivityVolume, 0)
		activeTime := fmt.Sprintf("%s %02d:00:00", currDate.Format(model.LayoutDate2), xframeId*2)
		activeTimeParse, err := time.Parse(model.LayoutTime, activeTime)
		if err != nil {
			return xerr.WithStack(err)
		}
		if dayTimes == 1 {
			if err = e.DB.Model(new(model.NeckActiveHabit)).
				Select("cow_id").
				Select("AVG(IF(change_filter>=60, 60, change_filter)) as avg_filter").
				Select("ROUND(STD(IF(change_filter>=60, 60, change_filter))) as std_filter").
				Select("COUNT(1) as nb").
				Where("id BETWEEN ? AND ?", xToday.XMin7Id, xToday.CurrMaxHabitId).
				Where("heat_date BETWEEN ? AND ?", currDate.AddDate(0, 0, -7).Format(model.LayoutDate2), currDate.AddDate(0, 0, -1).Format(model.LayoutDate2)).
				Where("frameid = ?", xframeId).
				Where(e.DB.Where("high > ?", xToday.ActiveLowest).Or("rumina >= ?", xToday.RuminaLowest)).
				Where("active_time <= ?", activeTimeParse.Add(-12*time.Hour)).
				Where("change_filter > ?", MinChangeFilter).
				Having("nb > ?", DefaultNb).
				Group("cow_id").
				Find(&activityVolumeList).Error; err != nil {
				return xerr.WithStack(err)
			}
		}

		for _, v := range activityVolumeList {
			filterCorrect := model.DefaultFilterCorrect - int(math.Floor(float64(v.AvgFilter)/3+float64(v.StdFilter)/2))
			if err = e.DB.Model(new(model.NeckActiveHabit)).
				Where("cow_id = ?", v.CowId).
				Where("id BETWEEN ? AND ?", xToday.LastMaxHabitId, xToday.CurrMaxHabitId).
				Where("frameid = ?", xframeId).
				Where("head_date = ?", currDate.Format(model.LayoutDate2)).
				Update("filter_correct", filterCorrect).Error; err != nil {
				return xerr.WithStack(err)
			}
		}

		/*n := 0
		if n <= 10 {

			// todo

			n += 2
		}*/

		if err = e.DB.Model(new(model.NeckActiveHabit)).
			Where("id BETWEEN ? AND ?", xToday.LastMaxHabitId, xToday.CurrMaxHabitId).
			Where("heat_date = ?", currDate.Format(model.LayoutDate2)).
			Where("frameid = ?", xframeId).
			Where("change_filter = ?", model.DefaultChangeFilter).
			Update("change_filter", MinChangeFilter).Error; err != nil {
			return xerr.WithStack(err)
		}

		if err = e.DB.Model(new(model.NeckActiveHabit)).
			Where("id BETWEEN ? AND ?", xToday.LastMaxHabitId, xToday.CurrMaxHabitId).
			Where("heat_date = ?", currDate.Format(model.LayoutDate2)).
			Where("frameid = ?", xframeId).
			Where("rumina_filter = ?", model.DefaultRuminaFilter).
			Update("rumina_filter", MinRuminaFilter).Error; err != nil {
			return xerr.WithStack(err)
		}

		if err = e.DB.Model(new(model.NeckActiveHabit)).
			Where("id BETWEEN ? AND ?", xToday.LastMaxHabitId, xToday.CurrMaxHabitId).
			Where("heat_date = ?", currDate.Format(model.LayoutDate2)).
			Where("frameid = ?", xframeId).
			Where("chew_filter = ?", model.DefaultChewFilter).
			Update("chew_filter", MinChewFilter).Error; err != nil {
			return xerr.WithStack(err)
		}

		if err = e.DB.Model(new(model.NeckActiveHabit)).
			Where("id BETWEEN ? AND ?", xToday.LastMaxHabitId, xToday.CurrMaxHabitId).
			Where("heat_date = ?", currDate.Format(model.LayoutDate2)).
			Where("frameid = ?", xframeId).
			Where("filter_correct < ?", model.DefaultFilterCorrect).
			Where("change_filter < ?", 0).
			Update("filter_correct", model.DefaultFilterCorrect).Error; err != nil {
			return xerr.WithStack(err)
		}

		// 更新评分
		newNeckActiveHabitList := make([]*model.NeckActiveHabit, 0)
		if err = e.DB.Model(new(model.NeckActiveHabit)).
			Where("id BETWEEN ? AND ?", xToday.LastMaxHabitId, xToday.CurrMaxHabitId).
			Where("heat_date = ?", currDate.Format(model.LayoutDate2)).
			Where("frameid = ?", xframeId).
			Where("score = ?", 0).
			Find(&newNeckActiveHabitList).Error; err != nil {
			return xerr.WithStack(err)
		}
		// todo 待开发
	}

	return nil
}

// 辅助函数来计算过滤值
func computeIfPositiveElse(newValue, prevFilterValue float64, weightPrev, weightNew float64) float64 {
	return math.Ceil((prevFilterValue * weightPrev) + (weightNew * newValue))
}