kpt-pasture/model/neck_active_habit.go

package model

import (
	"fmt"
	"kpt-pasture/util"
	"math"
	"strconv"
	"strings"

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

const (
	InitChangeFilter     = -10000
	DefaultChangeFilter  = -99
	DefaultRuminaFilter  = -99
	DefaultChewFilter    = -99
	DefaultFilterCorrect = 100
	DefaultWeeklyActive  = 1500
	DefaultRecordCount   = 6
	LowActivity          = 62
	MiddleActivity       = 80
)

type NeckActiveHabit struct {
	Id                   int64                 `json:"id"`
	PastureId            int64                 `json:"pastureId"`
	NeckRingNumber       string                `json:"neckRingNumber"`
	CowId                int64                 `json:"cowId"`
	EarNumber            string                `json:"earNumber"`
	Lact                 int32                 `json:"lact"`
	CalvingAge           int32                 `json:"calvingAge"`
	PenId                int32                 `json:"penId"`
	ActiveTime           string                `json:"activeTime"`
	Frameid              int32                 `json:"frameid"`
	HeatDate             string                `json:"heatDate"`
	Rumina               int32                 `json:"rumina"`
	Intake               int32                 `json:"intake"`
	Inactive             int32                 `json:"inactive"`
	Gasp                 int32                 `json:"gasp"`
	Other                int32                 `json:"other"`
	High                 int32                 `json:"high"`
	Active               int32                 `json:"active"`
	FilterHigh           int32                 `json:"filterHigh"`
	FilterRumina         int32                 `json:"filterRumina"`
	FilterChew           int32                 `json:"filterChew"`
	WeekHigh             int32                 `json:"weekHigh"`
	HighHabit            int32                 `json:"highHabit"`
	RuminaHabit          int32                 `json:"ruminaHabit"`
	IntakeHabit          int32                 `json:"intakeHabit"`
	ChewHabit            int32                 `json:"chewHabit"`
	InactiveHabit        int32                 `json:"inactiveHabit"`
	OtherHabit           int32                 `json:"otherHabit"`
	ChangeHigh           int32                 `json:"changeHigh"`
	ChangeRumina         int32                 `json:"changeRumina"`
	ChangeChew           int32                 `json:"changeChew"`
	ChangeAdjust         int32                 `json:"changeAdjust"`
	ChangeFilter         int32                 `json:"changeFilter"`
	RuminaFilter         int32                 `json:"ruminaFilter"`
	ChewFilter           int32                 `json:"chewFilter"`
	FilterCorrect        int32                 `json:"filterCorrect"`
	SumRumina            int32                 `json:"sumRumina"`
	SumIntake            int32                 `json:"sumIntake"`
	SumInactive          int32                 `json:"sumInactive"`
	SumActive            int32                 `json:"sumActive"`
	SumMinHigh           int32                 `json:"sumMinHigh"`
	SumMaxHigh           int32                 `json:"sumMaxHigh"`
	SumMinChew           int32                 `json:"SumMinChew"`
	BeforeThreeSumRumina int32                 `json:"beforeThreeSumRumina"`
	BeforeThreeSumIntake int32                 `json:"beforeThreeSumIntake"`
	Score                int32                 `json:"score"`
	IsShow               pasturePb.IsShow_Kind `json:"isShow"`
	Cft                  float32               `json:"cft"`
	Voltage              int32                 `json:"voltage"`
	RecordCount          int32                 `json:"recordCount"`
	FirmwareVersion      int32                 `json:"firmwareVersion"`
	CreatedAt            int64                 `json:"createdAt"`
	UpdatedAt            int64                 `json:"updatedAt"`
}

func (n *NeckActiveHabit) UnShardTableName() string {
	return "neck_active_habit"
}

/*func (n *NeckActiveHabit) TableName() string {
	return fmt.Sprintf("%s_%06d", n.UnShardTableName(), n.PastureId)
}*/

func (n *NeckActiveHabit) TableName() string {
	return "neck_active_habit"
}

func (n *NeckActiveHabit) SumAvg() {
	n.Rumina = n.Rumina / n.RecordCount * n.RecordCount
	n.Inactive = n.Inactive / n.RecordCount * n.RecordCount
	n.Active = n.Active / n.RecordCount * n.RecordCount
	n.Intake = n.Intake / n.RecordCount * n.RecordCount
	n.Other = n.Other / n.RecordCount * n.RecordCount
	n.Gasp = n.Gasp / n.RecordCount * n.RecordCount
	n.High = n.High / n.RecordCount * n.RecordCount
}

func (n *NeckActiveHabit) UpdateIsShowOk() {
	n.IsShow = pasturePb.IsShow_Ok
}

func NewNeckActiveHabit(data *NeckRingOriginalMerge) *NeckActiveHabit {
	return &NeckActiveHabit{
		PastureId:       data.PastureId,
		Frameid:         data.XframeId,
		HeatDate:        data.ActiveDate,
		NeckRingNumber:  data.NeckRingNumber,
		Active:          data.Active,
		Gasp:            data.Gasp,
		High:            data.High,
		Inactive:        data.Inactive,
		Intake:          data.Intake,
		Other:           data.Other,
		Rumina:          data.Rumina,
		IsShow:          data.IsShow,
		WeekHigh:        DefaultWeeklyActive,
		ChangeFilter:    InitChangeFilter,
		FilterCorrect:   InitChangeFilter,
		RuminaFilter:    InitChangeFilter,
		ChewFilter:      InitChangeFilter,
		ActiveTime:      fmt.Sprintf("%s %02d:00:00", data.ActiveDate, data.XframeId*2+1),
		RecordCount:     data.RecordCount,
		FirmwareVersion: data.FirmwareVersion,
		Voltage:         data.Voltage,
	}
}

type NeckActiveHabitSlice []*NeckActiveHabit

func (n NeckActiveHabitSlice) Len() int      { return len(n) }
func (n NeckActiveHabitSlice) Swap(i, j int) { n[i], n[j] = n[j], n[i] }
func (n NeckActiveHabitSlice) Less(i, j int) bool {
	if n[i].HeatDate != n[j].HeatDate {
		return n[i].HeatDate < n[j].HeatDate
	}
	return n[i].Frameid < n[j].Frameid
}

func (n NeckActiveHabitSlice) ToPB(curveName string) *CowBehaviorCurveData {
	res := &CowBehaviorCurveData{
		OriginalDateList: make([]int32, 0),
		ChangeDateList:   make([]int32, 0),
		SumDateList:      make([]int32, 0),
		DateTimeList:     make([]string, 0),
		EstrusList:       make(map[pasturePb.EstrusLevel_Kind][]string),
		EventList:        make([]*pasturePb.CowEvent, 0),
		EventMap:         make(map[pasturePb.EventType_Kind]string),
		RuminaChange:     make([]int32, 0),
		IQR1:             make([]int32, 0),
		IQR3:             make([]int32, 0),
	}
	initFrameId := int32(0)
	dateFrameMap := make(map[string][]int32)
	for _, v := range n {
		if dateFrameMap[v.HeatDate] == nil {
			initFrameId = 0
			dateFrameMap[v.HeatDate] = make([]int32, 0)
		}
		// 补全结尾不够的数据
		if initFrameId == 0 && len(res.DateTimeList) > 0 {
			lastDateTime := res.DateTimeList[len(res.DateTimeList)-1]
			lastDatePare := strings.Split(lastDateTime, " ")
			if len(lastDatePare) == 2 {
				lastDay := lastDatePare[0]
				lastHourStr := lastDatePare[1]
				lastHour, _ := strconv.ParseInt(lastHourStr, 10, 64)
				maxHour := util.ExpectedFrameIDs[len(util.ExpectedFrameIDs)-1]
				xframeId := int32(lastHour-1)/2 + 1
				if xframeId != maxHour {
					for ; xframeId <= maxHour; xframeId++ {
						res.DateTimeList = append(res.DateTimeList, fmt.Sprintf("%s %02d", lastDay, util.ExpectedFrameIDs[xframeId]*2+1))
						res.OriginalDateList = append(res.OriginalDateList, 0)
						res.ChangeDateList = append(res.ChangeDateList, 0)
						res.SumDateList = append(res.SumDateList, 0)
						res.RuminaChange = append(res.RuminaChange, 0)
						res.SumChewList = append(res.SumChewList, 0)
					}
				}
			}
		}
		expectedFrameId := util.ExpectedFrameIDs[initFrameId]
		if expectedFrameId != v.Frameid {
			maxFrameId := int32(math.Abs(float64(expectedFrameId - v.Frameid)))
			for ; expectedFrameId < maxFrameId; expectedFrameId++ {
				res.DateTimeList = append(res.DateTimeList, fmt.Sprintf("%s %02d", v.HeatDate, util.ExpectedFrameIDs[expectedFrameId]*2+1))
				res.OriginalDateList = append(res.OriginalDateList, 0)
				res.ChangeDateList = append(res.ChangeDateList, 0)
				res.SumDateList = append(res.SumDateList, 0)
				res.RuminaChange = append(res.RuminaChange, 0)
				res.SumChewList = append(res.SumChewList, 0)
			}
			initFrameId = expectedFrameId
		}

		// 格式化为到小时的字符串
		parsedTime, _ := util.TimeParseLocal(LayoutTime, v.ActiveTime)
		hourStr := parsedTime.Format(LayoutHour)
		res.DateTimeList = append(res.DateTimeList, hourStr)
		switch curveName {
		case "active": // 活动量
			changeDateList := v.ChangeFilter * v.FilterCorrect / 100
			if changeDateList == DefaultChangeFilter {
				changeDateList = 0
			}
			res.OriginalDateList = append(res.OriginalDateList, v.High)
			res.ChangeDateList = append(res.ChangeDateList, changeDateList)
			res.RuminaChange = append(res.RuminaChange, v.RuminaFilter)
		case "rumina": // 反刍
			res.OriginalDateList = append(res.OriginalDateList, v.Rumina)
			res.ChangeDateList = append(res.ChangeDateList, v.RuminaFilter)
			res.SumDateList = append(res.SumDateList, v.SumRumina)
			res.SumChewList = append(res.SumChewList, v.SumRumina+v.SumIntake)
		case "intake": // 采食
			res.OriginalDateList = append(res.OriginalDateList, v.Intake)
			res.SumDateList = append(res.SumDateList, v.SumIntake)
			res.SumChewList = append(res.SumChewList, v.SumRumina+v.SumIntake)
		case "inactive": // 休息
			res.OriginalDateList = append(res.OriginalDateList, v.Inactive)
			res.SumDateList = append(res.SumDateList, v.SumInactive)
		case "chew": // 咀嚼
			res.OriginalDateList = append(res.OriginalDateList, v.Rumina+v.Intake)
			res.ChangeDateList = append(res.ChangeDateList, v.ChewFilter)
			res.SumDateList = append(res.SumDateList, v.SumRumina+v.SumIntake)
		case "immobility": // 静止
			res.OriginalDateList = append(res.OriginalDateList, 120-v.Active)
			res.SumDateList = append(res.SumDateList, 60*24-v.SumActive)
		}
		initFrameId++
	}
	return res
}

func (n NeckActiveHabitSlice) ToPB2(dataBetween []string, groupNeckActiveHabitList []*NeckActiveHabit) *pasturePb.CowBehaviorRateData {
	data := &pasturePb.CowBehaviorRateData{
		DateTime:     dataBetween,
		RuminaRate:   make([]float32, 0),
		IntakeRate:   make([]float32, 0),
		InactiveRate: make([]float32, 0),
		GaspRate:     make([]float32, 0),
	}

	neckActiveHabitMap := make(map[string]*NeckActiveHabit)
	for _, v := range n {
		if v.HeatDate == "" {
			continue
		}

		if _, ok := neckActiveHabitMap[v.HeatDate]; !ok {
			neckActiveHabitMap[v.HeatDate] = v
		}
	}

	groupNeckActiveHabitMap := make(map[string]*NeckActiveHabit)
	for _, v := range groupNeckActiveHabitList {
		if v.HeatDate == "" {
			continue
		}

		if _, ok := groupNeckActiveHabitMap[v.HeatDate]; !ok {
			groupNeckActiveHabitMap[v.HeatDate] = v
		}
	}

	for _, t := range dataBetween {
		ruminaRate, intakeRate, inactiveRate, gaspRate := float32(0), float32(0), float32(0), float32(0)
		if v, ok := neckActiveHabitMap[t]; ok {
			sum := v.Rumina + v.Intake + v.Inactive + v.Gasp
			if sum > 0 {
				// 保留小数点后两位
				ruminaRate = float32(math.Round(float64(v.Rumina)/float64(sum)*100) / 100)
				intakeRate = float32(math.Round(float64(v.Intake)/float64(sum)*100) / 100)
				inactiveRate = float32(math.Round(float64(v.Inactive)/float64(sum)*100) / 100)
				gaspRate = float32(math.Round(float64(v.Gasp)/float64(sum)*100) / 100)
			}
		}
		data.RuminaRate = append(data.RuminaRate, ruminaRate)
		data.IntakeRate = append(data.IntakeRate, intakeRate)
		data.InactiveRate = append(data.InactiveRate, inactiveRate)
		data.GaspRate = append(data.GaspRate, gaspRate)

		groupRuminaRate, groupIntakeRate, groupInactiveRate, groupGaspRate := float32(0), float32(0), float32(0), float32(0)
		if v, ok := groupNeckActiveHabitMap[t]; ok {
			groupSum := v.Rumina + v.Intake + v.Inactive + v.Gasp
			if groupSum > 0 {
				// 保留小数点后两位
				groupRuminaRate = float32(math.Round(float64(v.Rumina)/float64(groupSum)*100) / 100)
				groupIntakeRate = float32(math.Round(float64(v.Intake)/float64(groupSum)*100) / 100)
				groupInactiveRate = float32(math.Round(float64(v.Inactive)/float64(groupSum)*100) / 100)
				groupGaspRate = float32(math.Round(float64(v.Gasp)/float64(groupSum)*100) / 100)
			}
		}
		data.GroupRuminaRate = append(data.GroupRuminaRate, groupRuminaRate)
		data.GroupIntakeRate = append(data.GroupIntakeRate, groupIntakeRate)
		data.GroupInactiveRate = append(data.GroupInactiveRate, groupInactiveRate)
		data.GroupGaspRate = append(data.GroupGaspRate, groupGaspRate)
	}

	return data
}

type MaxHabitIdModel struct {
	Id int64 `json:"id"`
}

type WeeklyActiveModel struct {
	CowId    int64  `json:"cow_id"`
	HeatDate string `json:"heat_date"`
	Nb       int32  `json:"nb"`
	High     int32  `json:"high"`
}

type NeckRingErrorModel struct {
	CowId   int64
	Nb      int32
	Nba     int32
	Voltage int32
}