eta_index_lib/models/predict_edb_data_calculate_qjjs.go

package models

import (
	"encoding/json"
	"errors"
	"eta_gn/eta_index_lib/global"
	"eta_gn/eta_index_lib/utils"
	"fmt"

	"github.com/shopspring/decimal"
	"gorm.io/gorm"
	"strconv"
	"strings"
	"time"
)

type PredictCalculateRangeAnalysis struct {
}

func (obj PredictCalculateRangeAnalysis) Add(params BatchSaveCalculateBatchParams) (edbInfo *EdbInfo, latestDateStr string, latestValue float64, err error, errMsg string) {
	req := params.Req
	edbCode := params.EdbCode
	uniqueCode := params.UniqueCode
	sysUserId := params.SysUserId
	sysUserRealName := params.SysUserRealName
	//req *EdbInfoCalculateBatchSaveReq, edbCode, uniqueCode string, sysUserId int, sysUserRealName string
	to := global.DEFAULT_DmSQL.Begin()
	defer func() {
		if err != nil {
			to.Rollback()
		} else {
			to.Commit()
		}
	}()
	if req.EdbInfoId > 0 {
		err = errors.New("无法新增")
		return
	}

	edbInfo = new(EdbInfo)
	edbInfo.Source = obj.GetSource()
	edbInfo.SourceName = obj.GetSourceName()
	edbInfo.EdbCode = edbCode
	edbInfo.EdbName = req.EdbName
	edbInfo.EdbNameSource = req.EdbName
	edbInfo.Frequency = req.Frequency
	edbInfo.Unit = req.Unit
	edbInfo.ClassifyId = req.ClassifyId
	edbInfo.SysUserId = sysUserId
	edbInfo.SysUserRealName = sysUserRealName
	edbInfo.CreateTime = time.Now()
	edbInfo.ModifyTime = time.Now()
	edbInfo.UniqueCode = uniqueCode
	edbInfo.CalculateFormula = req.CalculateFormula
	edbInfo.EdbNameEn = req.EdbName
	edbInfo.UnitEn = req.Unit
	edbInfo.EdbType = obj.GetEdbType()
	edbInfo.EdbInfoType = 1
	tmpErr := to.Create(edbInfo).Error
	if tmpErr != nil {
		err = tmpErr
		return
	}

	//关联关系
	fromEdbInfo, e := GetEdbInfoById(req.FromEdbInfoId)
	if e != nil {
		err = fmt.Errorf("获取来源指标失败,Err:%s", e.Error())
		return
	}

	calculateMappingItem := new(EdbInfoCalculateMapping)
	calculateMappingItem.CreateTime = time.Now()
	calculateMappingItem.ModifyTime = time.Now()
	calculateMappingItem.Sort = 1
	calculateMappingItem.EdbCode = edbCode
	calculateMappingItem.EdbInfoId = edbInfo.EdbInfoId
	calculateMappingItem.FromEdbInfoId = fromEdbInfo.EdbInfoId
	calculateMappingItem.FromEdbCode = fromEdbInfo.EdbCode
	calculateMappingItem.FromEdbName = fromEdbInfo.EdbName
	calculateMappingItem.FromSource = fromEdbInfo.Source
	calculateMappingItem.FromSourceName = fromEdbInfo.SourceName
	calculateMappingItem.FromTag = ""
	calculateMappingItem.Source = edbInfo.Source
	calculateMappingItem.SourceName = edbInfo.SourceName
	calculateMappingItem.FromSubSource = edbInfo.SubSource

	err = to.Create(calculateMappingItem).Error
	if err != nil {
		return
	}

	//计算数据
	latestDateStr, latestValue, err, errMsg = obj.refresh(to, edbInfo.EdbInfoId, edbInfo.Source, edbInfo.SubSource, fromEdbInfo, edbInfo.EdbCode, edbInfo.CalculateFormula)

	return
}

func (obj PredictCalculateRangeAnalysis) Edit(params BatchSaveCalculateBatchParams) (latestDateStr string, latestValue float64, err error, errMsg string) {
	edbInfo := params.EdbInfo
	req := params.Req
	to := global.DEFAULT_DmSQL.Begin()
	defer func() {
		if err != nil {
			to.Rollback()
		} else {
			to.Commit()
		}
	}()

	//修改指标信息
	edbInfo.EdbName = req.EdbName
	edbInfo.EdbNameSource = req.EdbName
	edbInfo.Frequency = req.Frequency
	edbInfo.Unit = req.Unit
	edbInfo.ClassifyId = req.ClassifyId
	edbInfo.CalculateFormula = req.CalculateFormula
	//修改指标信息
	switch params.Lang {
	case utils.EnLangVersion:
		edbInfo.EdbNameEn = req.EdbName
		edbInfo.UnitEn = req.Unit
	default:
		edbInfo.EdbName = req.EdbName
		edbInfo.Unit = req.Unit
		edbInfo.EdbNameSource = req.EdbName
	}
	edbInfo.ModifyTime = time.Now()
	err = to.Model(edbInfo).Select([]string{"EdbName", "EdbNameSource", "Frequency", "Unit", "ClassifyId", "CalculateFormula", "ModifyTime", "EdbNameEn", "UnitEn"}).Updates(edbInfo).Error
	if err != nil {
		return
	}

	//删除，计算指标关联的，基础指标的关联关系
	sql := ` DELETE FROM edb_info_calculate_mapping WHERE edb_info_id = ? `
	err = to.Exec(sql, edbInfo.EdbInfoId).Error
	if err != nil {
		err = errors.New("删除计算指标关联关系失败,Err:" + err.Error())
		return
	}
	//清空原有数据
	tableName := GetEdbDataTableName(edbInfo.Source, edbInfo.SubSource)
	sql = ` DELETE FROM ` + tableName + ` WHERE edb_info_id = ? `
	err = to.Exec(sql, edbInfo.EdbInfoId).Error
	if err != nil {
		return
	}

	fromEdbInfo, e := GetEdbInfoById(req.FromEdbInfoId)
	if e != nil {
		err = fmt.Errorf("获取来源指标失败,Err:%s", e.Error())
		return
	}

	calculateMappingItem := new(EdbInfoCalculateMapping)
	calculateMappingItem.CreateTime = time.Now()
	calculateMappingItem.ModifyTime = time.Now()
	calculateMappingItem.Sort = 1
	calculateMappingItem.EdbCode = edbInfo.EdbCode
	calculateMappingItem.EdbInfoId = edbInfo.EdbInfoId
	calculateMappingItem.FromEdbInfoId = fromEdbInfo.EdbInfoId
	calculateMappingItem.FromEdbCode = fromEdbInfo.EdbCode
	calculateMappingItem.FromEdbName = fromEdbInfo.EdbName
	calculateMappingItem.FromSource = fromEdbInfo.Source
	calculateMappingItem.FromSourceName = fromEdbInfo.SourceName
	calculateMappingItem.FromTag = ""
	calculateMappingItem.Source = edbInfo.Source
	calculateMappingItem.SourceName = edbInfo.SourceName
	calculateMappingItem.FromSubSource = edbInfo.SubSource

	err = to.Create(calculateMappingItem).Error
	if err != nil {
		return
	}

	//计算数据
	latestDateStr, latestValue, err, errMsg = obj.refresh(to, edbInfo.EdbInfoId, edbInfo.Source, edbInfo.SubSource, fromEdbInfo, edbInfo.EdbCode, edbInfo.CalculateFormula)

	return
}

func (obj PredictCalculateRangeAnalysis) Refresh(params RefreshParams) (latestDateStr string, latestValue float64, err error, errMsg string) {
	edbInfo := params.EdbInfo
	edbInfoCalculateDetailList, err := GetEdbInfoCalculateDetailList(edbInfo.EdbInfoId)
	if err != nil {
		return
	}
	var fromEdbInfo *EdbInfo
	for _, v := range edbInfoCalculateDetailList {
		fromEdbInfo, _ = GetEdbInfoById(v.FromEdbInfoId)
		break
	}

	if fromEdbInfo == nil {
		errMsg = "指标异常"
		err = errors.New(errMsg)
		return
	}

	to := global.DEFAULT_DmSQL.Begin()
	defer func() {
		if err != nil {
			to.Rollback()
		} else {
			to.Commit()
		}
	}()

	// 计算数据
	latestDateStr, latestValue, err, errMsg = obj.refresh(to, edbInfo.EdbInfoId, edbInfo.Source, edbInfo.SubSource, fromEdbInfo, edbInfo.EdbCode, edbInfo.CalculateFormula)

	return
}

func (obj PredictCalculateRangeAnalysis) refresh(to *gorm.DB, edbInfoId, source, subSource int, fromEdbInfo *EdbInfo, edbCode, calculateFormula string) (latestDateStr string, latestValue float64, err error, errMsg string) {
	edbInfoIdStr := strconv.Itoa(edbInfoId)
	tableName := GetEdbDataTableName(obj.GetSource(), utils.DATA_SUB_SOURCE_EDB)

	//获取扩散指数指标所有数据
	existDataList, err := GetAllEdbDataListByTo(to, edbInfoId, source, subSource)
	if err != nil {
		return
	}
	latestDateStr = fromEdbInfo.LatestDate
	//计算指标的map
	existDataMap := make(map[string]*EdbData, 0)
	removeDateMap := make(map[string]string)
	for _, v := range existDataList {
		existDataMap[v.DataTime] = v
		removeDateMap[v.DataTime] = ``
	}
	var rangeAnalysisConf RangeAnalysisCalculateFormula
	//fmt.Println("calculateFormula:", calculateFormula)
	err = json.Unmarshal([]byte(calculateFormula), &rangeAnalysisConf)
	if err != nil {
		err = fmt.Errorf("解析区间计算公式失败 %s", err.Error())
		return
	}

	rangeAnalysisChartData, err := GetRangeAnalysisChartDataByEdbInfo(fromEdbInfo, rangeAnalysisConf)
	if err != nil {
		err = fmt.Errorf("获取区间计算数据失败 %s", err.Error())
		return
	}
	addSql := ` INSERT INTO ` + tableName + ` (edb_info_id,edb_code,data_time,value,create_time,modify_time,data_timestamp) values `
	var isAdd bool

	for _, item := range rangeAnalysisChartData {
		currDateStr := item.DataTime
		currVal := item.Value
		// 判断扩散指数指标是否存在数据
		if existData, ok := existDataMap[currDateStr]; ok {
			// 处理扩散指数数据的值
			existValStr := existData.Value
			existValDeci, tmpErr := decimal.NewFromString(existValStr)
			if tmpErr != nil {
				err = tmpErr
				return
			}
			existVal, _ := existValDeci.Round(4).Float64()
			// 判断扩散指数数据的值 与 当前计算出来的结果, 如果两个数据结果不相等的话,那么就修改咯
			if existVal != currVal {
				err = ModifyEdbDataById(source, subSource, existData.EdbDataId, fmt.Sprint(currVal))
				if err != nil {
					return
				}
			}
		} else {
			// 直接入库
			timestamp := item.DataTimestamp
			timestampStr := fmt.Sprintf("%d", timestamp)
			addSql += GetAddSql(edbInfoIdStr, edbCode, currDateStr, timestampStr, fmt.Sprint(currVal))
			isAdd = true
		}

		delete(removeDateMap, currDateStr)
	}

	// 数据入库
	{

		if isAdd {
			addSql = strings.TrimRight(addSql, ",")
			err = to.Exec(addSql).Error
		}

		// 移除不存在的日期数据
		if len(removeDateMap) > 0 {
			removeDateList := make([]string, 0) //需要移除的日期
			for k := range removeDateMap {
				removeDateList = append(removeDateList, k)
			}
			removeDateStr := strings.Join(removeDateList, `","`)
			removeDateStr = `"` + removeDateStr + `"`
			sql := fmt.Sprintf(` DELETE FROM %s WHERE edb_info_id = ? and data_time in (%s) `, tableName, removeDateStr)
			err = to.Exec(sql, edbInfoId).Error
			if err != nil {
				err = fmt.Errorf("删除扩散指数指标数据失败,Err:" + err.Error())
				return
			}
		}
	}
	//确定实际数据的最终值
	{
		finalLast, tmpErr := GetFinalLastByTo(to, edbInfoId, obj.GetSource(), utils.DATA_SUB_SOURCE_EDB, fromEdbInfo.LatestDate)
		if tmpErr != nil && tmpErr.Error() != utils.ErrNoRow() {
			return
		}
		if tmpErr == nil {
			latestDateStr = finalLast.DataTime
			latestValue = finalLast.Value
		}
	}
	return
}

// GetSource 获取来源编码id
func (obj PredictCalculateRangeAnalysis) GetSource() int {
	return utils.DATA_SOURCE_PREDICT_CALCULATE_RANGEANLYSIS
}

// GetSourceName 获取来源名称
func (obj PredictCalculateRangeAnalysis) GetSourceName() string {
	return utils.DATA_SOURCE_NAME_PREDICT_CALCULATE_RANGEANLYSIS
}

// GetEdbType 获取指标类型
func (obj PredictCalculateRangeAnalysis) GetEdbType() int {
	return utils.CALCULATE_EDB_TYPE
}