kpt-pasture/module/crontab/neck_ring_handle.go

package crontab

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

	pasturePb "gitee.com/xuyiping_admin/go_proto/proto/go/backend/cow"
	"gitee.com/xuyiping_admin/pkg/logger/zaplog"
	"gitee.com/xuyiping_admin/pkg/xerr"
	"go.uber.org/zap"
)

const (
	MinChangeFilter = -99
	MinRuminaFilter = -99
	MinChewFilter   = -99
	MinChangeHigh   = -99
	DefaultNb       = 30
	DefaultScore    = 100
)

var (
	defaultLimit = int32(1000)
	isDelete     bool
)

// NeckRingOriginalMergeData 把脖环数据合并成2个小时的
func (e *Entry) NeckRingOriginalMergeData() error {
	var err error
	limit := e.Cfg.NeckRingLimit
	if limit <= 0 {
		limit = defaultLimit
	}
	newTime := time.Now()
	createdAt := newTime.Add(-1 * time.Hour)

	neckRingList := make([]*model.NeckRingOriginal, 0)
	if err = e.DB.Model(new(model.NeckRingOriginal)).
		Where("is_show <= ?", pasturePb.IsShow_No).
		Where("created_at <= ?", createdAt.Unix()).
		Order("neck_ring_number,active_date,frameid").
		Limit(int(limit)).Find(&neckRingList).Error; err != nil {
		return xerr.WithStack(err)
	}
	if len(neckRingList) <= 0 {
		return nil
	}

	defer func() {
		if newTime.Day()%15 == 0 && !isDelete {
			// 原始数据删除15天前的
			e.DB.Model(new(model.NeckRingOriginal)).
				Where("created_at < ?", newTime.AddDate(0, 0, -15).Unix()).
				Delete(new(model.NeckRingOriginal))
			// 活动数据删除6个月前的数据
			e.DB.Model(new(model.NeckActiveHabit)).
				Where("created_at < ?", newTime.AddDate(0, -6, 0).Unix()).
				Delete(new(model.NeckActiveHabit))
			isDelete = true
		}
	}()
	// 计算合并
	neckActiveHabitList := e.recalculate(neckRingList)
	if len(neckActiveHabitList) <= 0 {
		return nil
	}

	// 批量插入和更新
	var newNeckRingProcessList []*model.NeckRingProcess
	for _, neckActiveHabit := range neckActiveHabitList {
		//更新脖环牛只相关信息 新数据直接插入
		historyNeckActiveHabit, ct := e.IsExistNeckActiveHabit(neckActiveHabit.NeckRingNumber, neckActiveHabit.HeatDate, neckActiveHabit.Frameid)
		if ct <= 0 {
			if err = e.DB.Create(neckActiveHabit).Error; err != nil {
				zaplog.Info("NeckRingOriginalMergeData-1", zap.Any("err", err), zap.Any("neckActiveHabit", neckActiveHabit))
			}
			newNeckRingProcess := model.NewNeckRingProcess(neckActiveHabit)
			newNeckRingProcessList = append(newNeckRingProcessList, newNeckRingProcess)
			if err = e.UpdateNeckRingOriginalIsShow(neckActiveHabit); err != nil {
				zaplog.Error("NeckRingOriginalMergeData-3", zap.Any("err", err), zap.Any("neckActiveHabit", neckActiveHabit))
			}
			continue
		}

		if historyNeckActiveHabit == nil || historyNeckActiveHabit.Id <= 0 {
			zaplog.Error("NeckRingOriginalMergeData-4", zap.Any("historyNeckActiveHabit", historyNeckActiveHabit), zap.Any("ct", ct), zap.Any("neckActiveHabit", neckActiveHabit))
			continue
		}

		// 重新计算
		newNeckActiveHabit := e.againRecalculate(historyNeckActiveHabit)
		if newNeckActiveHabit != nil {
			if err = e.DB.Model(new(model.NeckActiveHabit)).
				Select("rumina", "intake", "inactive", "gasp", "other", "high", "active").
				Where("id = ?", historyNeckActiveHabit.Id).
				Updates(newNeckActiveHabit).Error; err != nil {
				zaplog.Error("NeckRingOriginalMergeData-5", zap.Any("historyNeckActiveHabit", historyNeckActiveHabit), zap.Any("ct", ct), zap.Any("newNeckActiveHabit", newNeckActiveHabit))
			}
		}
	}

	if len(newNeckRingProcessList) > 0 {
		if err = e.DB.Create(newNeckRingProcessList).Error; err != nil {
			zaplog.Error("newNeckRingProcessList", zap.Any("err", err))
		}
	}
	return nil
}

func (e *Entry) NeckRingCalculate() error {
	pastureList := e.FindPastureList()
	if pastureList == nil || len(pastureList) == 0 {
		return nil
	}

	for _, pasture := range pastureList {
		if err := e.EntryUpdateActiveHabit(pasture.Id); err != nil {
			zaplog.Error("PastureUpdateActiveHabit", zap.Any("err", err), zap.Any("pasture", pasture))
		}
		zaplog.Info(fmt.Sprintf("PastureUpdateActiveHabit Success %d", pasture.Id))
	}
	return nil
}

// recalculate 合并计算
func (e *Entry) recalculate(neckRingList []*model.NeckRingOriginal) []*model.NeckActiveHabit {
	originalMapData := make(map[string]*model.NeckRingOriginalMerge)
	// 合并成2个小时的
	for _, v := range neckRingList {
		xframeId := util.XFrameId(v.Frameid)
		mapKey := fmt.Sprintf("%s%s%s%s%d", v.NeckRingNumber, model.JoinKey, v.ActiveDate, model.JoinKey, xframeId) // 0001/2023-12-04/0 0001/2023-12-03/4
		if originalMapData[mapKey] == nil {
			originalMapData[mapKey] = new(model.NeckRingOriginalMerge)
		}
		originalMapData[mapKey].IsMageData(v, xframeId)
	}

	currTime := time.Now()
	// 算平均值
	for k, v := range originalMapData {
		// 过滤掉合并后不满6条数据
		if v.RecordCount != 6 {
			currMaxXframeId := util.FrameIdMapReverse[int32(currTime.Hour())]
			activeDateString := fmt.Sprintf("%s %02d:00:00", v.ActiveDate, v.XframeId*2+1)
			activeDate, _ := time.Parse(model.LayoutTime, activeDateString)
			if currMaxXframeId-v.XframeId <= 1 && currTime.Add(-1*time.Hour).Unix() < activeDate.Unix() {
				delete(originalMapData, k)
			}
		}
		v.SumAvg()
	}
	return model.NeckRingOriginalMap(originalMapData).ForMatData()
}

func (e *Entry) againRecalculate(data *model.NeckActiveHabit) *model.NeckActiveHabit {
	originalList := make([]*model.NeckRingOriginal, 0)
	frameIds := util.FrameIds(data.Frameid)
	if err := e.DB.Model(new(model.NeckRingOriginal)).
		Where("neck_ring_number = ?", data.NeckRingNumber).
		Where("active_date = ?", data.HeatDate).
		Where("frameid IN (?)", frameIds).
		Find(&originalList).Error; err != nil {
		return nil
	}

	newDataList := e.recalculate(originalList)
	if len(newDataList) != 1 {
		return nil
	}
	return newDataList[0]
}

func (e *Entry) EntryUpdateActiveHabit(pastureId int64) (err error) {
	lastMaxHabitData, err := e.GetSystemConfigure(pastureId, model.MaxHabit)
	if err != nil {
		return xerr.WithStack(err)
	}

	lastMaxHabitId := lastMaxHabitData.Value
	currMaxHabit := &model.NeckActiveHabit{}
	if err = e.DB.Model(new(model.NeckActiveHabit)).
		Where("id > ?", lastMaxHabitId).
		Where("pasture_id = ?", pastureId).
		Where("is_show = ?", pasturePb.IsShow_No).
		Order("id desc").First(currMaxHabit).Error; err != nil {
		return xerr.WithStack(err)
	}

	if currMaxHabit.Id <= 0 || currMaxHabit.Id <= lastMaxHabitId {
		return nil
	}
	defer func() {
		// 更新最后一次执行的id值
		if err == nil {
			e.DB.Model(new(model.SystemConfigure)).
				Where("name = ?", model.MaxHabit).
				Where("pasture_id = ?", pastureId).
				Update("value", currMaxHabit.Id)
		}
	}()
	// 获取这段执行数据内最大日期和最小日期
	xToday := &XToday{}
	activeLowest, err := e.GetSystemConfigure(pastureId, model.High)
	if err != nil {
		return xerr.WithStack(err)
	}
	ruminaLowest, err := e.GetSystemConfigure(pastureId, model.Rumina)
	if err != nil {
		return xerr.WithStack(err)
	}
	xRuminaDisc, err := e.GetSystemConfigure(pastureId, model.XRuminaDisc)
	if err != nil {
		return err
	}
	xChangeDiscount, err := e.GetSystemConfigure(pastureId, model.XChangeDiscount)
	if err != nil {
		return err
	}

	weeklyActive, err := e.GetSystemConfigure(pastureId, model.WeeklyActive)
	if err != nil {
		return xerr.WithStack(err)
	}

	xToday.High = int32(activeLowest.Value)
	xToday.Rumina = int32(ruminaLowest.Value)
	xToday.XRuminaDisc = int32(xRuminaDisc.Value)
	xToday.XChangeDiscount = int32(xChangeDiscount.Value)
	xToday.CurrMaxHabitId = currMaxHabit.Id
	xToday.LastMaxHabitId = lastMaxHabitId
	xToday.WeeklyActive = int32(weeklyActive.Value)

	// 更新活动滤波
	if err = e.FirstFilterUpdate(pastureId, xToday); err != nil {
		zaplog.Error("EntryUpdateActiveHabit", zap.Any("FirstFilterUpdate", err), zap.Any("xToday", xToday))
	}

	// 二次更新滤波
	if err = e.SecondUpdateChangeFilter(pastureId, xToday); err != nil {
		zaplog.Error("EntryUpdateActiveHabit", zap.Any("SecondUpdateChangeFilter", err), zap.Any("xToday", xToday))
	}

	// 活动量校正系数和健康评分
	if err = e.FilterCorrectAndScoreUpdate(pastureId, xToday); err != nil {
		zaplog.Error("EntryUpdateActiveHabit", zap.Any("ActivityVolumeChanges", err), zap.Any("xToday", xToday))
	}

	if err = e.DB.Model(new(model.NeckActiveHabit)).
		Where("id BETWEEN ? AND  ?", xToday.LastMaxHabitId, xToday.CurrMaxHabitId).
		Where("pasture_id = ?", pastureId).
		Where("is_show = ?", pasturePb.IsShow_No).
		Where("change_filter = ?", model.InitChangeFilter).
		Updates(map[string]interface{}{
			"change_filter": model.DefaultChangeFilter,
			"rumina_filter": model.DefaultRuminaFilter,
			"chew_filter":   model.DefaultChewFilter,
		}).Error; err != nil {
		zaplog.Error("EntryUpdateActiveHabit", zap.Any("change_filter", err), zap.Any("xToday", xToday))
	}

	if err = e.DB.Model(new(model.NeckActiveHabit)).
		Where("id BETWEEN ? AND  ?", xToday.LastMaxHabitId, xToday.CurrMaxHabitId).
		Where("pasture_id = ?", pastureId).
		Where("is_show = ?", pasturePb.IsShow_No).
		Where("change_filter < ?", 0).
		Where("filter_correct < ?", model.DefaultFilterCorrect).
		Updates(map[string]interface{}{
			"filter_correct": model.DefaultFilterCorrect,
			"is_show":        pasturePb.IsShow_Ok,
		}).Error; err != nil {
		zaplog.Error("EntryUpdateActiveHabit", zap.Any("filter_correct", err), zap.Any("xToday", xToday))
	}

	// 插入群体校正表
	if err = e.UpdateChangeAdJust(pastureId, xToday); err != nil {
		zaplog.Error("EntryUpdateActiveHabit", zap.Any("UpdateChangeAdJust", err), zap.Any("xToday", xToday))
	}
	return nil
}

// FirstFilterUpdate 首次更新活动滤波
func (e *Entry) FirstFilterUpdate(pastureId int64, xToDay *XToday) (err error) {
	newNeckActiveHabitList := make([]*model.NeckActiveHabit, 0)
	if err = e.DB.Model(new(model.NeckActiveHabit)).
		Where("id BETWEEN ? AND ?", xToDay.LastMaxHabitId, xToDay.CurrMaxHabitId).
		Where("pasture_id = ?", pastureId).
		Where("is_show = ?", pasturePb.IsShow_No).
		Where("change_filter = ?", model.InitChangeFilter).
		Where(e.DB.Where("high >= ?", xToDay.High).Or("rumina >= ?", xToDay.Rumina)).
		Order("neck_ring_number,heat_date,frameid").
		Limit(int(defaultLimit)).Find(&newNeckActiveHabitList).Error; err != nil {
		return xerr.WithStack(err)
	}
	// 活动量滤波
	for _, v := range newNeckActiveHabitList {
		// 过滤牛只未绑定的脖环的数据
		cowInfo := e.GetCowInfoByNeckRingNumber(v.PastureId, v.NeckRingNumber)
		if cowInfo == nil || cowInfo.Id <= 0 {
			continue
		}

		frameId := v.Frameid
		heatDate := v.HeatDate
		if v.Frameid == 0 {
			frameId = 11
			heatDateParse, _ := time.Parse(model.LayoutDate2, heatDate)
			heatDate = heatDateParse.AddDate(0, 0, -1).Format(model.LayoutDate2)
		}

		firstFilterData := e.FindFirstFilter(pastureId, v.NeckRingNumber, heatDate, frameId)
		if v.FilterHigh > 0 {
			firstFilterData.FilterHigh = v.FilterHigh
		} else {
			if v.NeckRingNumber == firstFilterData.NeckRingNumber {
				firstFilterData.FilterHigh = int32(computeIfPositiveElse(float64(v.High), float64(firstFilterData.FilterHigh), 0.23, 0.77))
			} else {
				firstFilterData.FilterHigh = v.High
			}
		}

		if v.FilterRumina > 0 {
			firstFilterData.FilterRumina = v.FilterRumina
		} else {
			if v.NeckRingNumber == firstFilterData.NeckRingNumber {
				firstFilterData.FilterRumina = int32(computeIfPositiveElse(float64(v.Rumina), float64(firstFilterData.FilterRumina), 0.33, 0.67))
			} else {
				firstFilterData.FilterRumina = v.Rumina
			}
		}
		if v.FilterChew > 0 {
			firstFilterData.FilterChew = v.FilterChew
		} else {
			if v.NeckRingNumber == firstFilterData.NeckRingNumber {
				firstFilterData.FilterChew = int32(computeIfPositiveElse(float64(v.Rumina+v.Intake), float64(firstFilterData.FilterChew), 0.33, 0.67))
			} else {
				firstFilterData.FilterChew = v.Rumina + v.Intake
			}
		}

		// 前七天的
		weekHabitData := e.FindWeekHabitData(pastureId, v.NeckRingNumber, v.HeatDate, v.Frameid, xToDay)
		highDiff := v.FilterHigh - weekHabitData.WeekHighHabit
		denominator := float64(v.WeekHigh)*0.6 + float64(weekHabitData.WeekHighHabit)*0.2 + float64(xToDay.WeeklyActive)*0.2
		if highDiff > 0 {
			v.ChangeHigh = int32(math.Round((float64(highDiff) / denominator) * 100))
		} else {
			v.ChangeHigh = int32(math.Round(float64(highDiff) / denominator * 100))
		}

		if weekHabitData.WeekRuminaHabit != 0 {
			v.ChangeRumina = int32(math.Round(float64(v.FilterRumina-weekHabitData.WeekRuminaHabit) / float64(weekHabitData.WeekRuminaHabit) * 100))
		} else {
			v.ChangeRumina = 0
		}
		if weekHabitData.WeekChewHabit != 0 {
			v.ChangeChew = int32(math.Round(float64(v.FilterChew-weekHabitData.WeekChewHabit) / float64(weekHabitData.WeekChewHabit) * 100))
		} else {
			v.ChangeChew = 0
		}

		sumHabitData := e.FindSumHabitData(pastureId, v.NeckRingNumber, v.HeatDate, v.Frameid, xToDay)
		before3DaysNeckActiveHabit := e.FindBefore3DaysNeckActiveHabit(pastureId, v.NeckRingNumber, v.HeatDate, v.Frameid)

		// 更新过滤值
		if err = e.DB.Model(new(model.NeckActiveHabit)).
			Select(
				"filter_high", "filter_rumina", "filter_chew", "cow_id", "lact", "calving_age",
				"week_high_habit", "week_rumina_habit", "week_chew_habit", "week_intake_habit", "week_inactive_habit",
				"sum_rumina", "sum_intake", "sum_inactive", "sum_active", "sum_max_high", "sum_min_high", "sum_min_chew",
				"change_high", "change_rumina", "change_chew", "before_three_sum_rumina", "before_three_sum_intake",
			).Where("id = ?", v.Id).
			Updates(map[string]interface{}{
				"filter_high":             firstFilterData.FilterHigh,
				"filter_rumina":           firstFilterData.FilterRumina,
				"filter_chew":             firstFilterData.FilterChew,
				"cow_id":                  cowInfo.Id,
				"lact":                    cowInfo.Lact,
				"calving_age":             cowInfo.CalvingAge,
				"week_high_habit":         weekHabitData.WeekHighHabit,
				"week_rumina_habit":       weekHabitData.WeekRuminaHabit,
				"week_chew_habit":         weekHabitData.WeekChewHabit,
				"week_intake_habit":       weekHabitData.WeekIntakeHabit,
				"week_inactive_habit":     weekHabitData.WeekIntakeHabit,
				"sum_rumina":              sumHabitData.SumRumina,
				"sum_intake":              sumHabitData.SumIntake,
				"sum_inactive":            sumHabitData.SumInactive,
				"sum_active":              sumHabitData.SumActive,
				"sum_max_high":            sumHabitData.SumMaxHigh,
				"sum_min_high":            sumHabitData.SumMinHigh,
				"sum_min_chew":            sumHabitData.SumMinChew,
				"change_high":             v.ChangeHigh,
				"change_rumina":           v.ChangeRumina,
				"change_chew":             v.ChangeChew,
				"before_three_sum_rumina": before3DaysNeckActiveHabit.SumRumina,
				"before_three_sum_intake": before3DaysNeckActiveHabit.SumIntake,
			}).Error; err != nil {
			return xerr.WithStack(err)
		}
	}
	zaplog.Info("EntryUpdateActiveHabit-FilterUpdate-Success")
	return nil
}

// SecondUpdateChangeFilter 第二次更新变化趋势滤波
func (e *Entry) SecondUpdateChangeFilter(pastureId int64, xToday *XToday) (err error) {
	newChangeFilterList := make([]*ChangeFilterData, 0)
	if err = e.DB.Model(new(model.NeckActiveHabit)).
		Select("id", "neck_ring_number", "change_high", "change_filter", "rumina_filter", "change_rumina",
			"chew_filter", "change_chew", "heat_date", "frameid", "IF(lact = 0, 0.8, 1) as xlc_dis_count").
		Where("heat_date >= ?", time.Now().AddDate(0, 0, -2).Format(model.LayoutDate2)).
		Where("pasture_id = ?", pastureId).
		Where("change_filter = ?", model.InitChangeFilter).
		Where("change_high > ?", MinChangeHigh).
		Order("neck_ring_number,heat_date,frameid").
		Find(&newChangeFilterList).Error; err != nil {
		return xerr.WithStack(err)
	}

	for _, v := range newChangeFilterList {
		secondFilterData := &SecondFilterData{}
		frameId := v.FrameId
		heatDate := v.HeatDate
		if v.FrameId == 0 {
			frameId = 11
			heatDateParse, _ := time.Parse(model.LayoutDate2, heatDate)
			heatDate = heatDateParse.AddDate(0, 0, -1).Format(model.LayoutDate2)
		}
		if err = e.DB.Model(new(model.NeckActiveHabit)).
			Select("neck_ring_number", "filter_high", "filter_rumina", "filter_chew").
			Where("neck_ring_number = ?", v.NeckRingNumber).
			Where("heat_date = ?", heatDate).
			Where("frameid = ?", frameId).
			First(&secondFilterData).Error; err != nil {
			zaplog.Error("EntryUpdateActiveHabit", zap.Any("FirstFilterUpdate", err))
		}

		if v.ChangeFilter > MinChangeFilter {
			secondFilterData.ChangeFilter = float64(v.ChangeFilter)
		} else {
			if v.NeckRingNumber == secondFilterData.NeckRingNumber {
				secondFilterData.ChangeFilter = secondFilterData.ChangeFilter*(1-(float64(xToday.XChangeDiscount)/10)*v.XlcDisCount) +
					math.Min(float64(v.ChangeHigh), secondFilterData.ChangeFilter+135)*(float64(xToday.XChangeDiscount)/10)*v.XlcDisCount
			} else {
				secondFilterData.ChangeFilter = 0
			}
		}

		if v.RuminaFilter > MinRuminaFilter {
			secondFilterData.RuminaFilter = float64(v.ChangeFilter)
		} else {
			if v.NeckRingNumber == secondFilterData.NeckRingNumber {
				discount := float64(xToday.XRuminaDisc) / 10 * v.XlcDisCount
				if math.Abs(float64(v.ChangeRumina)) > 60 {
					discount *= 0.5
				}
				secondFilterData.RuminaFilter = secondFilterData.RuminaFilter*(1-discount) + float64(v.ChangeRumina)*discount
			} else {
				secondFilterData.RuminaFilter = 0
			}
		}

		secondFilterData.RuminaFilter = math.Min(50, secondFilterData.RuminaFilter)

		if v.ChewFilter > MinChewFilter {
			secondFilterData.ChewFilter = float64(v.ChangeChew)
		} else {
			if v.NeckRingNumber == secondFilterData.NeckRingNumber {
				discount := float64(xToday.XRuminaDisc) / 10
				if math.Abs(float64(v.ChangeChew)) > 60 {
					discount *= 0.5
				}
				secondFilterData.ChewFilter = secondFilterData.ChewFilter*(1-discount) + float64(v.ChangeChew)*discount
			} else {
				secondFilterData.ChewFilter = 0
			}
		}

		secondFilterData.ChewFilter = math.Min(50, secondFilterData.ChewFilter)
		if err = e.DB.Model(new(model.NeckActiveHabit)).
			Select("change_filter", "rumina_filter", "chew_filter").
			Where("id = ?", v.Id).
			Updates(map[string]interface{}{
				"change_filter": secondFilterData.ChangeFilter,
				"rumina_filter": secondFilterData.RuminaFilter,
				"chew_filter":   secondFilterData.ChewFilter,
			}).Error; err != nil {
			zaplog.Error("SecondUpdateChangeFilter-1", zap.Any("error", err), zap.Any("xToday", xToday))
		}
	}
	zaplog.Info("SecondUpdateChangeFilter-Success")
	return nil
}

// FilterCorrectAndScoreUpdate 计算活动量变化趋势校正值（活跃度校正）和健康评分
func (e *Entry) FilterCorrectAndScoreUpdate(pastureId int64, xToday *XToday) error {
	beginDayDate := time.Now()
	before7DayDate := beginDayDate.AddDate(0, 0, -7).Format(model.LayoutDate2)
	before1DayDate := beginDayDate.AddDate(0, 0, -1).Format(model.LayoutDate2)

	activityVolumeList := make([]*ActivityVolume, 0)
	activityVolumeMap := make(map[string]*ActivityVolume)
	if err := e.DB.Model(new(model.NeckActiveHabit)).
		Select("neck_ring_number", "AVG(IF(change_filter>=60, 60, change_filter)) as avg_filter",
			"ROUND(STD(IF(change_filter>=60, 60, change_filter))) as std_filter", "COUNT(1) as nb").
		Where("heat_date BETWEEN ? AND ?", before7DayDate, before1DayDate).
		Where("pasture_id = ?", pastureId).
		Where(e.DB.Where("high > ?", xToday.High).Or("rumina >= ?", xToday.Rumina)).
		Where("active_time <= ?", beginDayDate.Add(-12*time.Hour).Format(model.LayoutTime)).
		Where("change_filter > ?", MinChangeFilter).
		Having("nb > ?", DefaultNb).
		Group("neck_ring_number").
		Find(&activityVolumeList).Error; err != nil {
		zaplog.Error("ActivityVolumeChanges-0", zap.Any("error", err), zap.Any("xToday", xToday))
	}

	if len(activityVolumeList) > 0 {
		for _, v := range activityVolumeList {
			activityVolumeMap[v.NeckRingNumber] = v
		}
	}

	neckActiveHabitList := make([]*model.NeckActiveHabit, 0)
	if err := e.DB.Model(new(model.NeckActiveHabit)).
		Where("id <= ?", xToday.CurrMaxHabitId).
		Where("heat_date >= ?", before1DayDate).
		Where("pasture_id = ?", pastureId).
		Where(e.DB.Where("high > ?", xToday.High).Or("rumina > ?", xToday.Rumina)).
		Find(&neckActiveHabitList).Error; err != nil {
		zaplog.Error("ActivityVolumeChanges-1", zap.Any("error", err), zap.Any("xToday", xToday))
		return xerr.WithStack(err)
	}

	for _, v := range neckActiveHabitList {
		if filterCorrectMap, ok := activityVolumeMap[v.NeckRingNumber]; ok {
			filterCorrect := model.DefaultFilterCorrect - int(math.Floor(filterCorrectMap.AvgFilter/3+float64(filterCorrectMap.StdFilter)/2))
			// 活动量校正系数
			if err := e.DB.Model(new(model.NeckActiveHabit)).
				Where("id = ?", v.Id).
				Where("neck_ring_number = ?", v.NeckRingNumber).
				Update("filter_correct", filterCorrect).Error; err != nil {
				zaplog.Error("ActivityVolumeChanges-2", zap.Any("error", err), zap.Any("xToday", xToday))
				continue
			}
		}

		cowScore := calculateScore(v)
		if err := e.DB.Model(new(model.NeckActiveHabit)).
			Where("id = ?", v.Id).
			Update("score", cowScore).Error; err != nil {
			zaplog.Error("ActivityVolumeChanges-2", zap.Any("error", err), zap.Any("xToday", xToday))
			continue
		}
	}
	zaplog.Info("EntryUpdateActiveHabit-ActivityVolumeChanges-Success")
	return nil
}

// UpdateChangeAdJust 更新群体校正数据
func (e *Entry) UpdateChangeAdJust(pastureId int64, xToday *XToday) error {
	res := make([]*model.NeckRingBarChange, 0)
	oneDayAgo := time.Now().AddDate(0, 0, -1).Format(model.LayoutDate2)
	//SELECT h.neck_ring_number,h.heat_date, h.frameid, c.pen_id, c.pen_name, COUNT(*) as nb, ROUND(AVG(h.change_high)) as change_high,
	//ROUND(AVG(h.change_filter)) as change_filter F
	//ROM neck_active_habit as h JOIN cow as c ON h.neck_ring_number = c.neck_ring_number
	//WHERE h.pasture_id = 1 AND h.heat_date >= '2025-01-16' AND h.cow_id >= 0
	//GROUP BY h.heat_date, h.frameid, c.pen_id ORDER BY h.heat_date, h.frameid, c.pen_name
	if err := e.DB.Table(fmt.Sprintf("%s as h", new(model.NeckActiveHabit).TableName())).
		Select("h.neck_ring_number,h.heat_date, h.frameid, c.pen_id, c.pen_name, COUNT(*) as nb, ROUND(AVG(h.change_high)) as change_high, ROUND(AVG(h.change_filter)) as change_filter").
		Joins("JOIN cow as c ON h.neck_ring_number = c.neck_ring_number").
		Where("h.pasture_id = ?", pastureId).
		Where("h.heat_date >= ?", oneDayAgo).
		Where("h.cow_id >= ?", 0).
		Group("h.heat_date, h.frameid, c.pen_id").
		Order("h.heat_date, h.frameid, c.pen_name").
		Find(&res).Error; err != nil {
		return xerr.WithStack(err)
	}

	for _, v := range res {
		if err := e.DB.Model(new(model.NeckActiveHabit)).
			Where("id > ?", xToday.LastMaxHabitId).
			Where("heat_date = ?", v.HeatDate).
			Where("frameid = ?", v.FrameId).
			Where("neck_ring_number = ?", v.NeckRingNumber).
			Update("change_adjust", v.ChangeHigh).Error; err != nil {
			zaplog.Error("UpdateChangeAdJust-1", zap.Any("error", err), zap.Any("xToday", xToday))
		}
	}
	return nil
}

func (e *Entry) UpdateNeckRingOriginalIsShow(neckRingList *model.NeckActiveHabit) error {
	if err := e.DB.Model(new(model.NeckRingOriginal)).
		Where("neck_ring_number = ?", neckRingList.NeckRingNumber).
		Where("active_date = ?", neckRingList.HeatDate).
		Where("frameid IN (?)", util.FrameIds(neckRingList.Frameid)).
		Update("is_show", pasturePb.IsShow_Ok).Error; err != nil {
		return xerr.WithStack(err)
	}
	return nil
}

// computeIfPositiveElse 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))
}

// 计算 score 的逻辑
func calculateScore(habit *model.NeckActiveHabit) int {
	// 第一部分逻辑
	var part1 float64
	switch {
	case (habit.CalvingAge <= 1 && habit.Lact >= 1) ||
		(habit.CalvingAge >= 2 && habit.CalvingAge <= 13 && (habit.SumRumina+habit.SumIntake) == 0) ||
		((habit.Lact == 0 || habit.CalvingAge >= 14) && habit.ChangeFilter == -99):
		part1 = -199
	case habit.CalvingAge >= 2 && habit.CalvingAge <= 13:
		part1 = math.Min((float64(habit.SumRumina+habit.SumIntake)-(100+math.Min(7, float64(habit.CalvingAge))*60))/10*2, 0)
	case habit.ChangeFilter > -99:
		part1 = math.Min(0, math.Min(getValueOrDefault(float64(habit.ChangeFilter), 0), getValueOrDefault(float64(habit.SumMinHigh), 0)))*0.2 +
			math.Min(0, math.Min(getValueOrDefault(float64(habit.ChangeFilter), 0), getValueOrDefault(float64(habit.SumMinChew), 0)))*0.2 +
			getRuminaSumIntakeSumScore(float64(habit.SumRumina+habit.SumIntake)) + getAdditionalScore(habit)
	default:
		part1 = -299
	}

	// 第二部分逻辑
	var part2 float64
	switch {
	case habit.FirmwareVersion%100 >= 52:
		part2 = 1
	case habit.FirmwareVersion%100 >= 30 && habit.FirmwareVersion%100 <= 43:
		part2 = 0.8
	default:
		part2 = 0.6
	}

	// 最终 score
	return DefaultScore + int(math.Floor(part1*part2))
}

// 获取值或默认值
func getValueOrDefault(value, defaultValue float64) float64 {
	if value > -99 {
		return value
	}
	return defaultValue
}

// 计算累计反刍得分
func getRuminaSumIntakeSumScore(sum float64) float64 {
	switch {
	case sum < 80:
		return -30
	case sum < 180:
		return -20
	case sum < 280:
		return -10
	default:
		return 0
	}
}

// 计算额外得分
func getAdditionalScore(habit *model.NeckActiveHabit) float64 {
	var score float64
	if (habit.SumRumina+habit.SumIntake < 280 || habit.SumMinHigh+habit.SumMinChew < -50) && habit.SumMaxHigh > 50 {
		score += 10
	}
	if habit.ChangeFilter < -30 && habit.ChangeFilter <= habit.SumMinHigh && habit.ChewFilter < -30 && habit.ChewFilter <= habit.SumMinChew {
		score -= 5
	}
	return score
}