package statistics

import (
	"encoding/json"
	"fmt"
	"strconv"

	"github.com/flipped-aurora/gin-vue-admin/server/commonus"
	"github.com/flipped-aurora/gin-vue-admin/server/global"
	"github.com/flipped-aurora/gin-vue-admin/server/model/assessmentmodel"
)

//计算定量考核
/*
统计分数
@group							集团
@department						部门
@dimensionId					维度
@targetId						指标
@i								步进器
@status							是否为观察数据
@scoringMethod					手动计分还是自动计分
@class							指标类型 1、定性；2：定量
@referenceScore					指标权重
@yserInt						年度
@timeClass						4:月；5：季度；6：年；7：半年
@typeClass 						1:定性；2：定量；3：观察
*/
func (t *tablePlanVersionStic) conditionStatisticsNew(group, department, dimensionId, targetId string, i, status, scoringMethod, class int, yserInt, referenceScore int64, timeClass, typeClass int) {
	t.mutext.Lock()
	defer t.mutext.Unlock()
	var fldList []assessmentmodel.FlowDataLogType
	var tableScoreCont TableScoreList
	tableScoreCont.Counter = i
	gormDb := global.GVA_DB_Performanceappraisal.Model(&assessmentmodel.FlowDataLogType{})
	gormDb = gormDb.Where("`targetid` = ? AND `group` = ? AND `department` = ? AND `year` = ?", targetId, group, department, yserInt)
	switch timeClass {
	case 5:
		gormDb = gormDb.Where("`quarte` = ?", i)
	case 6:
	case 7:
		if i == 1 {
			gormDb = gormDb.Where("`month` IN ?", []int{1, 2, 3, 4, 5, 6})
		} else {
			gormDb = gormDb.Where("`month` IN ?", []int{7, 8, 9, 10, 11, 12})
		}
	default:
		gormDb = gormDb.Where("`month` = ?", i)
	}
	gormDb = gormDb.Order("`id` ASC").Find(&fldList)

	jsCon, _ := json.Marshal(fldList)

	fmt.Printf("targetid------------->%v------------>%v---->%v\n", targetId, timeClass, string(jsCon))

	var mtScore float64 = 0
	var atScore float64 = 0
	var lastEvalId int64
	var scoreSum float64 = 0
	if len(fldList) > 0 {
		for _, v := range fldList {
			// fmt.Printf("Key----------------->%v\n", v.Key)
			if v.Key != 0 {
				lastEvalId = v.Key
			}
			if v.ScoringMethod == 1 {
				atScore = atScore + float64(v.Score)
			} else {
				atScore = atScore + float64(v.ScoringScore)
			}
			scoreSum = scoreSum + float64(v.Score)
			mtScore = mtScore + v.ScoringScore

			whereDepart := commonus.MapOut()
			whereDepart["id"] = v.DutyDepartment
			orgContDer, _ := commonus.GetNewOrgCont(whereDepart, "name")
			tableScoreCont.ExecutiveDepartment = append(tableScoreCont.ExecutiveDepartment, orgContDer.Name)
		}
	}
	tableScoreCont.ScoreVal = commonus.Decimal(scoreSum / 100)
	targetIdInt, _ := strconv.ParseInt(targetId, 10, 64)
	groupId, _ := strconv.ParseInt(group, 10, 64)
	departmentId, _ := strconv.ParseInt(department, 10, 64)
	dimensionIdInt, _ := strconv.ParseInt(dimensionId, 10, 64)
	zeroPrize, allPrize, cappingPrize := GetAllZreoCapp(lastEvalId, groupId, departmentId, dimensionIdInt, targetIdInt, yserInt, int64(i), 0)

	// fmt.Printf("scoreSum--->%v------->mtScore--->%v---->zeroPrize--->%v---->allPrize--->%v---->cappingPrize--->%v---->typeClass---->%v\n", scoreSum, mtScore, zeroPrize, allPrize, cappingPrize, typeClass)

	tableScoreCont.ActualScore, tableScoreCont.AllPrize, tableScoreCont.ZeroPrize, tableScoreCont.CappingVal, tableScoreCont.Achievement = commonus.CalculateScore(referenceScore, scoreSum, allPrize, zeroPrize, cappingPrize, typeClass)
	// fmt.Printf("达成率--13-->%v-->%v-->%v-->%v-->%v\n", tableScoreCont.ActualScore, tableScoreCont.AllPrize, tableScoreCont.ZeroPrize, tableScoreCont.CappingVal, tableScoreCont.Achievement)
	if status == 3 {
		tableScoreCont.ActualScore = float64(referenceScore)
	}
	t.TableScore = append(t.TableScore, tableScoreCont)
	syncProcessDepartTarget.Done()
}

//获取定量数据得全奖零奖封顶值得历史数据
/*
@flKey						流水KEY
@group				集团
@depart				部门
@dimen				维度
@target				指标
@deaTarget			细则
@year				年份
@timecopy			辅助计数
*/
func GetAllZreoCapp(flKey, group, depart, dimen, targetId, year, timecopy, deaTarget int64) (zeroPrize, allPrize, cappingPrize float64) {

	var baseLineStr string
	err := global.GVA_DB_Performanceappraisal.Model(&assessmentmodel.FlowLog{}).Select("fl_baseline").Where("fl_key = ?", flKey).First(&baseLineStr).Error
	if err != nil {
		zeroPrize, allPrize, cappingPrize = GetPassRate(group, depart, dimen, targetId, year, timecopy, deaTarget)
		return
	}
	var flowLogConfig []FlowLogAllZreo
	jsonErr := json.Unmarshal([]byte(baseLineStr), &flowLogConfig)
	// fmt.Printf("flKey, targetId----------------->%v--------->%v---------->%v--------->%v\n", flKey, targetId, jsonErr, baseLineStr)
	if jsonErr != nil {
		zeroPrize, allPrize, cappingPrize = GetPassRate(group, depart, dimen, targetId, year, timecopy, deaTarget)
		return
	}
	for _, v := range flowLogConfig {
		if v.TargetId == strconv.FormatInt(targetId, 10) {
			zeroPrize = v.Zeroprize
			allPrize = v.Allprize
			cappingPrize = v.Capping
			// fmt.Printf("zeroPrize----------------->%v----allPrize----->%v-----cappingPrize----->%v------TargetId--->%v\n", zeroPrize, allPrize, cappingPrize, v.TargetId)
			return
		}
	}
	return
}

//获取达成率配置
func GetPassRate(group, depart, dimen, target, year, timecopy, deaTarget int64) (zeroPrize, allPrize, cappingPrize float64) {
	var qualConfig assessmentmodel.QuantitativeConfig
	gormDb := global.GVA_DB_Performanceappraisal.Where("`group` = ? AND `departmentid` = ? AND `dimension` = ? AND `target` = ? AND `year` = ?", group, depart, dimen, target, year)
	if deaTarget != 0 {
		gormDb = gormDb.Where("targetconfig = ?", deaTarget)
	}
	gormDb = gormDb.Where("timecopy = ?", timecopy)
	err := gormDb.First(&qualConfig).Error
	if err != nil {
		return
	}
	allPrize = qualConfig.Allprize
	zeroPrize = qualConfig.Zeroprize
	cappingPrize = qualConfig.CappingVal
	return
}

//定性
/*SubjectiveAuxiliaryCalculationSumMethod(wherStr string, i, status, class int, referenceScore int64)
统计分数
@wherStr						统计条件
@i								步进器
@status							是否为观察数据
@class							指标类型 1、定性；2：定量
@referenceScore					指标权重
*/

func (t *tablePlanVersionStic) SubjectiveMethodNew(wherStr string, i, status, class int, referenceScore int64) {
}