eta_index_lib/services/base_from_kpler.go

package services

import (
	"encoding/json"
	"eta/eta_index_lib/logic"
	"eta/eta_index_lib/models"
	"eta/eta_index_lib/services/alarm_msg"
	"eta/eta_index_lib/utils"
	"fmt"
	"io/ioutil"
	"net/http"
	"strconv"
	"strings"
	"time"
)

// GetKplerDataByApi 获取开普勒数据
func GetKplerDataByApi(params models.KplerSearchEdbReq, terminalCode string) (indexes []*models.KplerIndexItem, apiQueryUrl string, terminalInfo *models.EdbTerminal, err error) {
	terminal, e := GetApiTerminal(utils.DATA_SOURCE_KPLER, terminalCode)
	if e != nil {
		err = fmt.Errorf("获取开普勒终端配置失败, %v", e)
		return
	}
	
	if terminal.ServerUrl == "" {
		err = fmt.Errorf("开普勒终端地址未配置")
		return
	}
    
	// 走API
	if terminal.IsApi == 1 {
		indexes, apiQueryUrl, err = getKplerDataByApi(params, terminal.ServerUrl)
		if err != nil {
			err = fmt.Errorf("获取开普勒指标数据失败, %v", err)
			return
		}
		terminalInfo = terminal
		return
	}
    return
}

// getEdbDataFromThsHfHttp API-获取高频指标数据
func getKplerDataByApi(params models.KplerSearchEdbReq, serverUrl string) (list []*models.KplerIndexItem, apiQueryUrl string, err error) {
	defer func() {
		if err != nil {
			tips := fmt.Sprintf("开普勒指标API-getKplerDataByApi err: %v", err)
			utils.FileLog.Info(tips)
		}
	}()

    // todo 判断指标是否已存在
	productNamesStr := params.ProductNames
	fromZoneNamesStr := params.FromZoneNames
	toZoneNamesStr := params.ToZoneNames
	
	//granularity := GetKplerGranularity(params.Granularity)
	libreq := new(models.KplerFlowDataLibReq)
	libreq.Products = productNamesStr
	libreq.FromZones = fromZoneNamesStr
	libreq.ToZones = toZoneNamesStr
	libreq.Split = params.Split
	libreq.FlowDirection = params.FlowDirection
	libreq.Granularity = params.Granularity
	libreq.Unit = params.Unit
	libreq.WithIntraRegion = "true"
	libreq.WithForecast = "true"
	libreq.OnlyRealized = "false"
	libreq.StartDate = "2025-01-01"
	libreq.EndDate = time.Now().Format(utils.FormatDate)
	// 请求接口
	apiResp, err := getKplerFlowDataLib(serverUrl, libreq)
	if err != nil {
		err = fmt.Errorf("开普勒指标API-getKplerDataByApi err: %v", err)
		return
	}
	if apiResp.Ret != 200 {
		err = fmt.Errorf("开普勒指标API-状态码: %d, 提示信息: %s", apiResp.Ret, apiResp.ErrMsg)
		return
	}
	indexes := make([]*models.KplerIndexItem, 0)
	if len(apiResp.Data.List) == 0 {
		utils.FileLog.Info("开普勒指标API-无数据")
		return
	}
    indexCodeList := make([]string, 0)
	existIndexCodeMap := make(map[string]bool)
	flowDirection := params.FlowDirection
	prefixIndexName := fmt.Sprintf("kpler%s%s%s%s", fromZoneNamesStr, flowDirection, toZoneNamesStr, productNamesStr)
	lastIndexName := params.Granularity

	prefixIndexCode := fmt.Sprintf("k%s%s%s%s", fromZoneNamesStr, flowDirection, toZoneNamesStr, productNamesStr)
	// 获取首字母
	lastIndexCode := strings.ToUpper(params.Granularity[:1])
	apiQueryUrl = apiResp.Data.ApiQueryUrl
	// Tables中的每一个对应一个证券代码
	for _, v := range apiResp.Data.List {
			index := new(models.KplerIndexItem)
			indexName := ""
			indexCode := ""
			
			indexName = fmt.Sprintf("%s%s%s", prefixIndexName, v.SplitItem, lastIndexName)
			indexCode = fmt.Sprintf("%s%s%s", prefixIndexCode,v.SplitItem, lastIndexCode)
				
			indexCodeList = append(indexCodeList, indexCode)
			index.IndexCode = indexCode
			index.IndexName = indexName
			index.Frequency = getKplerFrequency(params.Granularity)
			index.Unit = params.Unit
			index.IndexData = v.IndexData
			indexes = append(indexes, index)
	}

	indexObj := new(models.BaseFromKplerIndex)
	// 查询指标是否存在
	existList, err := indexObj.GetByIndexCodes(indexCodeList)
	if err != nil {
		err = fmt.Errorf("查询指标是否存在失败, %v", err)
		return
	}
	for _, v := range existList {
		existIndexCodeMap[v.IndexCode] = true
	}
	// 过滤已经存在的指标
	list = make([]*models.KplerIndexItem, 0)
	for _, v := range indexes {
		if _, ok := existIndexCodeMap[v.IndexCode]; !ok {
			list = append(list, v)
		}
	}
	return 
}

func AddKplerIndexByApi(indexList []*models.KplerIndexItem, req *models.KplerSearchEdbReq, apiQueryUrl string, classifyId int, terminalCode string) (err error) {
	errMsgList := make([]string, 0)
	defer func() {
		if len(errMsgList) > 0 {
			msg := fmt.Sprint("数据源-Kpler数据处理失败,err:", strings.Join(errMsgList, "\n"))
			utils.FileLog.Info(msg)
			go alarm_msg.SendAlarmMsg(msg, 3)
		}
	}()
	
	maxSort := 0
	for _, indexInfo := range indexList {
		indexObj := new(models.BaseFromKplerIndex)
		indexId := 0
		//判断指标是否存在
		var isAdd int
		item, er := indexObj.GetByIndexCode(indexInfo.IndexCode)
	    if er != nil {
			if er.Error() == utils.ErrNoRow() {
				isAdd = 1
				err = nil
			} else {
				errMsgList = append(errMsgList, fmt.Sprintf("查询数据源指标库失败 GetByIndexCode Err：%s", er))
				continue
			}
		}
		if item != nil && item.BaseFromKplerIndexId > 0 {
			fmt.Println("item:", item)
			isAdd = 2
		} else {
			isAdd = 1
		}
		fromZoneId := 0
		toZoneId := 0

		if len(req.FromZoneIds) > 0 {
			for _, v := range req.FromZoneIds {
				fromZoneId = v
			}
		}
		if len(req.ToZoneIds) > 0 {
			for _, v := range req.ToZoneIds {
				toZoneId = v
			}
		}
		// 批量新增指标
		if isAdd == 1 {
			indexObj.IndexCode = indexInfo.IndexCode
			indexObj.IndexName = indexInfo.IndexName
			indexObj.Frequency = indexInfo.Frequency
			indexObj.ClassifyId = int(classifyId)
			indexObj.FromZoneId = fromZoneId
			indexObj.ToZoneId = toZoneId
			indexObj.FromZoneName = req.FromZoneNames
			indexObj.ToZoneName = req.ToZoneNames
			indexObj.FlowDirection = req.FlowDirection
			indexObj.Granularity = GetKplerGranularity(req.Granularity)
			indexObj.Split = req.Split
			indexObj.Unit = req.Unit
			indexObj.Sort = maxSort
			indexObj.ApiQueryUrl = apiQueryUrl
			indexObj.ModifyTime = time.Now()
			indexObj.CreateTime = time.Now()
			indexObj.TerminalCode = terminalCode
			err = indexObj.Add()
			if err != nil {
				err = fmt.Errorf("数据源新增Kpler指标失败 Err：%s", err)
				return
			}
			indexId = indexObj.BaseFromKplerIndexId
			maxSort++
		} else if isAdd == 2 {
			indexId = item.BaseFromKplerIndexId
			if item.TerminalCode == `` && terminalCode != `` {
				item.TerminalCode = terminalCode
				err = item.Update([]string{"TerminalCode"})
				if err != nil {
					err = fmt.Errorf("数据源更新Kpler指标失败 Err：%s", err)
					return
				}
			}
	
			indexObj.BaseFromKplerIndexId = item.BaseFromKplerIndexId
			indexObj.IndexName = indexInfo.IndexName
			indexObj.Frequency = indexInfo.Frequency
			indexObj.ClassifyId = int(classifyId)
			indexObj.ProductNames = req.ProductNames
			indexObj.FromZoneName = req.FromZoneNames
			indexObj.ToZoneName = req.ToZoneNames
			indexObj.FlowDirection = req.FlowDirection
			indexObj.Granularity = req.Granularity
			indexObj.Split = req.Split
			indexObj.Unit = req.Unit
			indexObj.ApiQueryUrl = apiQueryUrl
			indexObj.ModifyTime = time.Now()
	
			//修改数据
			updateColsArr := make([]string, 0)
			updateColsArr = append(updateColsArr, "index_name")
			updateColsArr = append(updateColsArr, "classify_id")
			updateColsArr = append(updateColsArr, "product_names")
			updateColsArr = append(updateColsArr, "from_zone_name")
			updateColsArr = append(updateColsArr, "to_zone_name")
			updateColsArr = append(updateColsArr, "flow_direction")
			updateColsArr = append(updateColsArr, "granularity")
			updateColsArr = append(updateColsArr, "split")
			updateColsArr = append(updateColsArr, "frequency")
			updateColsArr = append(updateColsArr, "modify_time")
			updateColsArr = append(updateColsArr, "api_query_url")
			e := indexObj.Update(updateColsArr)
			if e != nil {
				fmt.Println("Index Update Err:" + e.Error())
				return
			}
		}
	    dataObj := new(models.BaseFromKplerData)
		exitDataMap := make(map[string]*models.BaseFromKplerData)
		//获取已存在的所有数据
		var exitDataList []*models.BaseFromKplerData
		exitDataList, err = dataObj.GetByIndexCode(indexInfo.IndexCode)
		if err != nil {
			err = fmt.Errorf("数据源查询Kpler指标数据失败 Err：%s", err)
			return
		}
		fmt.Println("exitDataListLen:", len(exitDataList))
		for _, v := range exitDataList {
			dateStr := v.DataTime
			exitDataMap[dateStr] = v
		}
		addDataList := make([]*models.BaseFromKplerData, 0)
	
		// 遍历excel数据，然后跟现有的数据做校验，不存在则入库
		for _, value := range indexInfo.IndexData {
			date := value.DataTime
			value := value.Value
			if findData, ok := exitDataMap[date]; !ok {
				_, err = time.ParseInLocation(utils.FormatDate, date, time.Local)
				if err != nil {
					err = fmt.Errorf("%s 转换日期格式失败 Err：%s", date, err)
					return
				}
				var saveDataTime time.Time
				if strings.Contains(date, "00:00:00") {
					saveDataTime, err = time.Parse(utils.FormatDateTime, date)
				} else {
					saveDataTime, err = time.Parse(utils.FormatDate, date)
				}
				if err != nil {
					err = fmt.Errorf("%s 转换日期格式失败 Err：%s", date, err)
					continue
				}
				timestamp := saveDataTime.UnixNano() / 1e6
	
				dataItem := new(models.BaseFromKplerData)
				dataItem.BaseFromKplerIndexId = int(indexId)
				dataItem.IndexCode = indexInfo.IndexCode
				dataItem.DataTime = date
				dataItem.Value = value
				dataItem.CreateTime = time.Now()
				dataItem.ModifyTime = time.Now()
				dataItem.DataTimestamp = timestamp
				addDataList = append(addDataList, dataItem)
				if len(addDataList) > 500 {
					err = dataObj.AddMulti(addDataList)
					if err != nil {
						err = fmt.Errorf("批量新增指标失败 Err：%s", err)
						return
					}
					addDataList = make([]*models.BaseFromKplerData, 0)
				}
			} else {
				if findData != nil && findData.Value != value && !strings.Contains(value, "#N/A") { //修改数据
					// 过滤0.50和0.5的比较
					oldV, _ := strconv.ParseFloat(findData.Value, 64)
					newV, _ := strconv.ParseFloat(value, 64)
					if oldV == newV {
						continue
					}
					dataObj.BaseFromKplerIndexId = findData.BaseFromKplerIndexId
					dataObj.Value = value
					dataObj.ModifyTime = time.Now()
	
					updateDataColsArr := make([]string, 0)
					updateDataColsArr = append(updateDataColsArr, "value")
					updateDataColsArr = append(updateDataColsArr, "modify_time")
					dataObj.Update(updateDataColsArr)
				}
			}
		}
	
		if len(addDataList) > 0 {
			err = dataObj.AddMulti(addDataList)
			if err != nil {
				err = fmt.Errorf("批量新增指标失败 Err：%s", err)
				return
			}
		}
	
		var dateItem *models.EdbInfoMaxAndMinInfo
		dateItem, err = dataObj.GetMaxAndMinDateByIndexCode(indexInfo.IndexCode)
		if err != nil {
			err = fmt.Errorf("查询指标最新日期失败 Err：%s", err)
			return
		}
	
		go func() {
			indexObj.ModifyIndexMaxAndMinDate(indexInfo.IndexCode, dateItem)
		}()
	
		// 同步刷新ETA指标库的指标
		{
			// 获取指标详情
			baseObj := new(models.BaseFromKpler)
			var edbInfo *models.EdbInfo
			edbInfo, err = models.GetEdbInfoByEdbCode(baseObj.GetSource(), indexInfo.IndexCode)
			if err != nil {
				if !utils.IsErrNoRow(err) {
					errMsgList = append(errMsgList, fmt.Sprint("刷新ETA指标异常，指标编码：", indexInfo.IndexCode, err.Error()))
					return
				} else {
					err = nil
				}
			}
	
			// 已经加入到指标库的话，那么就去更新ETA指标库吧
			if edbInfo != nil {
				go logic.RefreshBaseEdbInfo(edbInfo, ``)
			}
		}
	}
	return
}

// HandleKplerIndex 处理Kpler的excel数据
func HandleKplerIndex(req *models.HandleKplerExcelDataReq) (err error) {
	errMsgList := make([]string, 0)
	defer func() {
		if len(errMsgList) > 0 {
			msg := fmt.Sprint("数据源-Kpler数据处理失败,err:", strings.Join(errMsgList, "\n"))
			utils.FileLog.Info(msg)
			go alarm_msg.SendAlarmMsg(msg, 3)
		}
	}()
	// 查询所有的一级分类
	classifyObj := new(models.BaseFromKplerClassify)
	classifyList, err := classifyObj.GetParentClassify()
	if err != nil {
		err = fmt.Errorf("查询一级目录信息失败 Err：%s", err)
		return
	}
	classifyMap := make(map[string]int, 0)
	for _, v := range classifyList {
		classifyMap[v.ClassifyName] = int(v.ClassifyId)
	}

	for _, v := range req.List {
		err = handleKplerIndex(v, req.TerminalCode, classifyMap)
		if err != nil {
			errMsgList = append(errMsgList, fmt.Sprintf("新增指标异常，指标编码：%s, Err: %s", v.IndexCode, err))
			return
		}
	}
	return
}

// getKplerFlowDataLib 获取开普勒流数据
func getKplerFlowDataLib(libUrl string, dataMap *models.KplerFlowDataLibReq) (resp *models.KplerFlowDataLibResp, err error) {
	postUrl := fmt.Sprintf("%s%s", libUrl, "/v1/kpler/getFlowData")
	postData, err := json.Marshal(dataMap)
	if err != nil {
		return
	}
	result, err := HttpPost(postUrl, string(postData), "application/json")
	if err != nil {
		return
	}
	utils.FileLog.Info("postRefreshEdbData:" + postUrl + ";" + string(postData) + ";result:" + string(result))
	err = json.Unmarshal(result, &resp)
	if err != nil {
		return
	}
	return resp, nil
}

func getKplerProductLib(libUrl string) (resp *models.KplerProductLibResp, err error) {
	postUrl := fmt.Sprintf("%s%s", libUrl, "/v1/kpler/getProductData")
	result, err := HttpPost(postUrl, "", "application/json")
	if err != nil {
		return
	}
	utils.FileLog.Info("postRefreshEdbData:" + postUrl + ";result:" + string(result))
	err = json.Unmarshal(result, &resp)
	if err != nil {
		return
	}
	return resp, nil
}

func getKplerZoneLib(libUrl string) (resp *models.KplerZoneLibResp, err error) {
	postUrl := fmt.Sprintf("%s%s", libUrl, "/v1/kpler/getZoneData")
	result, err := HttpPost(postUrl, "", "application/json")
	if err != nil {
		return
	}
	utils.FileLog.Info("postRefreshEdbData:" + postUrl + ";result:" + string(result))
	err = json.Unmarshal(result, &resp)
	if err != nil {
		return
	}
	return resp, nil
}

func handleKplerIndex(req *models.HandleKplerExcelData, terminalCode string, classifyMap map[string]int) (err error) {
	indexName := req.IndexName
	indexCode := req.IndexCode
	excelDataMap := req.ExcelDataMap
	errMsgList := make([]string, 0)
	defer func() {
		if len(errMsgList) > 0 {
			msg := fmt.Sprint("数据源-Kpler数据处理失败,err:", strings.Join(errMsgList, "\n"))
			utils.FileLog.Info(msg)
			go alarm_msg.SendAlarmMsg(msg, 3)
		}
	}()
	indexObj := new(models.BaseFromKplerIndex)
	dataObj := new(models.BaseFromKplerData)
	classifyObj := new(models.BaseFromKplerClassify)

	var indexId int64

	addDataList := make([]*models.BaseFromKplerData, 0)

	exitDataMap := make(map[string]*models.BaseFromKplerData)

	// 修改指标信息
	if indexName == "" {
		utils.FileLog.Info("未刷新到指标数据:indexName:" + indexName)
		return
	}

	if req.ClassifyName == "" {
		// 获取产品的名称，把产品的第一个名称作为分类ID
		productNames := strings.Split(req.ProductNames, ",")
		if len(productNames) > 0 {
			req.ClassifyName = productNames[0]
		}
	}
	fromZoneNamesStr := req.FromZoneName
	flowDirection := req.FlowDirection
	toZoneNamesStr := req.ToZoneName
	productNamesStr := req.ProductNames
	// 拼接指标编码
	prefixIndexCode := fmt.Sprintf("k%s%s%s%s", fromZoneNamesStr, flowDirection, toZoneNamesStr, productNamesStr)
	// 获取首字母
	lastIndexCode := strings.ToUpper(req.Granularity[:1])
	indexCode = fmt.Sprintf("%s%s%s", prefixIndexCode,req.SplitName, lastIndexCode)
	// 判断目录是否存在
	var classifyId int64
	now := time.Now()
	if req.ClassifyName != "" {
		classifyParentId := 0
		level := 1
		classifyParentId, _ = classifyMap[req.ParentClassifyName]
		if classifyParentId > 0 {
			level = 2
		}
		classifyObj, err = classifyObj.GetByClassifyName(req.ClassifyName)
		if err != nil {
			if err.Error() == utils.ErrNoRow() {
				//新增分类
				classifyObj = &models.BaseFromKplerClassify{
					ClassifyName:    req.ClassifyName,
					ClassifyNameEn:  req.ClassifyName,
					ParentId:        classifyParentId,
					SysUserId:       0,
					SysUserRealName: "",
					Level:           level,
					Sort:            req.ClassifySort,
					ModifyTime:      now,
					CreateTime:      now,
				}

				classifyId, err = classifyObj.Add()
				if err != nil {
					err = fmt.Errorf("新增分类失败 Err：%s", err)
					return
				}
				classifyObj.ClassifyId = int(classifyId)
			} else {
				return
			}
		} else {
			classifyId = int64(classifyObj.ClassifyId)
			classifyObj.ModifyTime = now
			classifyObj.ParentId = classifyParentId
			e := classifyObj.Update([]string{"ParentId", "ModifyTime"})
			if e != nil {
				fmt.Println("classifyObj Update Err:" + e.Error())
				return
			}
		}
	}

	//判断指标是否存在
	var isAdd int
	item, err := indexObj.GetByIndexCode(indexCode)
	if err != nil {
		if err.Error() == utils.ErrNoRow() {
			isAdd = 1
			err = nil
		} else {
			isAdd = -1
			err = fmt.Errorf("查询数据源指标库失败 GetByIndexCode Err：%s", err)
			return
		}
	}
	if item != nil && item.BaseFromKplerIndexId > 0 {
		fmt.Println("item:", item)
		isAdd = 2
	} else {
		isAdd = 1
	}

	if isAdd == 1 {
		indexObj.IndexCode = indexCode
		indexObj.IndexName = indexName
		indexObj.Frequency = getKplerFrequency(req.Granularity)
		indexObj.ClassifyId = int(classifyId)
		indexObj.ProductNames = req.ProductNames
		indexObj.FromZoneId = req.FromZoneId
		indexObj.FromZoneName = req.FromZoneName
		indexObj.ToZoneId = req.ToZoneId
		indexObj.ToZoneName = req.ToZoneName
		indexObj.FlowDirection = req.FlowDirection
		indexObj.Granularity = req.Granularity
		indexObj.Split = req.Split
		indexObj.Unit = req.Unit
		indexObj.Sort = req.Sort
		indexObj.ExcelQueryUrl = req.ExcelQueryUrl
		indexObj.ModifyTime = time.Now()
		indexObj.CreateTime = time.Now()
		indexObj.TerminalCode = terminalCode
		err = indexObj.Add()
		if err != nil {
			err = fmt.Errorf("数据源新增Kpler指标失败 Err：%s", err)
			return
		}
		indexId = int64(indexObj.BaseFromKplerIndexId)
	} else if isAdd == 2 {
		indexId = int64(item.BaseFromKplerIndexId)
		if item.TerminalCode == `` && terminalCode != `` {
			item.TerminalCode = terminalCode
			err = item.Update([]string{"TerminalCode"})
			if err != nil {
				err = fmt.Errorf("数据源更新Kpler指标失败 Err：%s", err)
				return
			}
		}

		indexObj.BaseFromKplerIndexId = item.BaseFromKplerIndexId
		indexObj.IndexName = indexName
		indexObj.Frequency = getKplerFrequency(req.Granularity)
		indexObj.ClassifyId = int(classifyId)
		indexObj.ProductNames = req.ProductNames
		indexObj.FromZoneId = req.FromZoneId
		indexObj.FromZoneName = req.FromZoneName
		indexObj.ToZoneId = req.ToZoneId
		indexObj.ToZoneName = req.ToZoneName
		indexObj.FlowDirection = req.FlowDirection
		indexObj.Granularity = req.Granularity
		indexObj.Split = req.Split
		indexObj.ExcelQueryUrl = req.ExcelQueryUrl
		indexObj.Unit = req.Unit
		indexObj.Sort = req.Sort
		indexObj.ModifyTime = time.Now()

		//修改数据
		updateColsArr := make([]string, 0)
		updateColsArr = append(updateColsArr, "index_name")
		updateColsArr = append(updateColsArr, "classify_id")
		updateColsArr = append(updateColsArr, "product_names")
		updateColsArr = append(updateColsArr, "from_zone_id")
		updateColsArr = append(updateColsArr, "from_zone_name")
		updateColsArr = append(updateColsArr, "to_zone_id")
		updateColsArr = append(updateColsArr, "to_zone_name")
		updateColsArr = append(updateColsArr, "flow_direction")
		updateColsArr = append(updateColsArr, "granularity")
		updateColsArr = append(updateColsArr, "split")
		updateColsArr = append(updateColsArr, "frequency")
		updateColsArr = append(updateColsArr, "sort")
		updateColsArr = append(updateColsArr, "modify_time")

		e := indexObj.Update(updateColsArr)
		if e != nil {
			fmt.Println("Index Update Err:" + e.Error())
			return
		}
	}

	//获取已存在的所有数据
	var exitDataList []*models.BaseFromKplerData
	exitDataList, err = dataObj.GetByIndexCode(indexCode)
	if err != nil {
		err = fmt.Errorf("数据源查询Kpler指标数据失败 Err：%s", err)
		return
	}
	fmt.Println("exitDataListLen:", len(exitDataList))
	for _, v := range exitDataList {
		dateStr := v.DataTime
		exitDataMap[dateStr] = v
	}

	// 遍历excel数据，然后跟现有的数据做校验，不存在则入库
	for date, value := range excelDataMap {
		if findData, ok := exitDataMap[date]; !ok {
			_, err = time.ParseInLocation(utils.FormatDate, date, time.Local)
			if err != nil {
				err = fmt.Errorf("%s 转换日期格式失败 Err：%s", date, err)
				return
			}
			var saveDataTime time.Time
			if strings.Contains(date, "00:00:00") {
				saveDataTime, err = time.Parse(utils.FormatDateTime, date)
			} else {
				saveDataTime, err = time.Parse(utils.FormatDate, date)
			}
			if err != nil {
				err = fmt.Errorf("%s 转换日期格式失败 Err：%s", date, err)
				continue
			}
			timestamp := saveDataTime.UnixNano() / 1e6

			dataItem := new(models.BaseFromKplerData)
			dataItem.BaseFromKplerIndexId = int(indexId)
			dataItem.IndexCode = indexCode
			dataItem.DataTime = date
			dataItem.Value = value
			dataItem.CreateTime = time.Now()
			dataItem.ModifyTime = time.Now()
			dataItem.DataTimestamp = timestamp
			addDataList = append(addDataList, dataItem)
			if len(addDataList) > 500 {
				err = dataObj.AddMulti(addDataList)
				if err != nil {
					err = fmt.Errorf("批量新增指标失败 Err：%s", err)
					return
				}
				addDataList = make([]*models.BaseFromKplerData, 0)
			}
		} else {
			if findData != nil && findData.Value != value && !strings.Contains(value, "#N/A") { //修改数据
				// 过滤0.50和0.5的比较
				oldV, _ := strconv.ParseFloat(findData.Value, 64)
				newV, _ := strconv.ParseFloat(value, 64)
				if oldV == newV {
					continue
				}
				dataObj.BaseFromKplerIndexId = findData.BaseFromKplerIndexId
				dataObj.Value = value
				dataObj.ModifyTime = time.Now()

				updateDataColsArr := make([]string, 0)
				updateDataColsArr = append(updateDataColsArr, "value")
				updateDataColsArr = append(updateDataColsArr, "modify_time")
				dataObj.Update(updateDataColsArr)
			}
		}
	}

	if len(addDataList) > 0 {
		err = dataObj.AddMulti(addDataList)
		if err != nil {
			err = fmt.Errorf("批量新增指标失败 Err：%s", err)
			return
		}
	}

	var dateItem *models.EdbInfoMaxAndMinInfo
	dateItem, err = dataObj.GetMaxAndMinDateByIndexCode(indexCode)
	if err != nil {
		err = fmt.Errorf("查询指标最新日期失败 Err：%s", err)
		return
	}

	go func() {
		indexObj.ModifyIndexMaxAndMinDate(indexCode, dateItem)
	}()

	// 同步刷新ETA指标库的指标
	{
		// 获取指标详情
		baseObj := new(models.BaseFromKpler)
		var edbInfo *models.EdbInfo
		edbInfo, err = models.GetEdbInfoByEdbCode(baseObj.GetSource(), indexCode)
		if err != nil {
			if !utils.IsErrNoRow(err) {
				errMsgList = append(errMsgList, fmt.Sprint("刷新ETA指标异常，指标编码：", indexCode, err.Error()))
				return
			} else {
				err = nil
			}
		}

		// 已经加入到指标库的话，那么就去更新ETA指标库吧
		if edbInfo != nil {
			go logic.RefreshBaseEdbInfo(edbInfo, ``)
		}
	}
	return
} 

func HttpPost(url, postData string, params ...string) ([]byte, error) {
	body := ioutil.NopCloser(strings.NewReader(postData))
	client := &http.Client{}
	req, err := http.NewRequest("POST", url, body)
	if err != nil {
		return nil, err
	}
	contentType := "application/x-www-form-urlencoded;charset=utf-8"
	if len(params) > 0 && params[0] != "" {
		contentType = params[0]
	}
	req.Header.Set("Content-Type", contentType)
	req.Header.Set("authorization", utils.MD5(utils.APP_EDB_DATA_ANALYSIS+utils.EDB_DATA_ANALYSIS_Md5_KEY))
	resp, err := client.Do(req)
	if err != nil {
		return nil, err
	}
	defer resp.Body.Close()
	b, err := ioutil.ReadAll(resp.Body)
	utils.FileLog.Debug("HttpPost:" + string(b))
	return b, err
}

func getKplerFrequency(granularity string) (frequency string) {
	switch granularity {
	case "daily", "Daily", "days":
		return "日度"
	case "weekly", "Weekly", "weeks":
		return "周度"
	case "monthly", "Monthly", "months":
		return "月度"
	case "yearly", "Yearly", "years":
		return "年度"
	}
	return ""
}

func GetKplerGranularity(frequency string) (granularity string) {
	switch frequency {
	case "daily", "Daily":
		return "days"
	case "weekly", "Weekly":
		return "weeks"
	case "monthly", "Monthly":
		return "months"
	case "yearly", "Yearly":
		return "years"
	case "quarterly", "Quarters":
		return "quarters"
	}
	return ""
}

func InitKplerProduct ()(err error) {
	libUrl := "http://127.0.0.1:8915"
	libResp, err := getKplerProductLib(libUrl)
	if err != nil {
		return
	}
	if libResp.Ret != 200 {
		fmt.Println("获取开普勒产品库失败", libResp.ErrMsg)
		utils.FileLog.Info("获取开普勒产品库失败", libResp.ErrMsg)
		return
	}
	classifyList, err := models.GetAllBaseFromKplerClassify()
	if err != nil {
		return
	}
	classifyMap := make(map[int]*models.BaseFromKplerClassify)
	for _, v := range classifyList {
		classifyMap[v.ProductId] = v
	}
	// 批量插入分类表中
	// family > group(commodity) >  product() > grade
	sort := 0
	for _, v := range libResp.Data {
		id, _ := strconv.Atoi(v.Id)
		if classifyObj, ok := classifyMap[id]; !ok {
		    classifyObj = new(models.BaseFromKplerClassify)
		    classifyObj.ClassifyName = v.Name
		    classifyObj.ClassifyNameEn = v.Name
			classifyObj.ModifyTime = time.Now()
			classifyObj.CreateTime = time.Now()
			classifyObj.Sort = sort
			classifyObj.Level = 1
			classifyObj.ParentId = 0
			classifyObj.SysUserId = 0
			classifyObj.SysUserRealName = ""
			classifyObj.ProductId = id
			classifyObj.ProductName = v.Name
			classifyObj.AncestorFamilyId, _ = strconv.Atoi(v.FamilyId)
			classifyObj.AncestorFamilyName = v.Family
			classifyObj.AncestorGroupId, _ = strconv.Atoi(v.GroupId)
			classifyObj.AncestorGroupName = v.Group
			classifyObj.AncestorProductId, _ = strconv.Atoi(v.ProductId)
			classifyObj.AncestorProductName = v.Product
			classifyObj.AncestorGradeId, _ = strconv.Atoi(v.GradeId)
			classifyObj.AncestorGradeName = v.Grade
			classifyObj.ClassifyType = v.Type
			_, err = classifyObj.Add()
			if err != nil {
				fmt.Println("新增开普勒产品库失败", err)
				utils.FileLog.Info("新增开普勒产品库失败", err)
			}
			classifyMap[id] = classifyObj
		}
	}
	
    for _, v := range classifyMap {
		if v.ParentId == 0 {
			if v.AncestorGradeId > 0 && v.AncestorGradeName != v.ClassifyName {
				v.ParentId = classifyMap[v.AncestorGradeId].ClassifyId
			} else if v.AncestorProductId > 0 && v.AncestorProductName != v.ClassifyName {
				v.ParentId = classifyMap[v.AncestorProductId].ClassifyId
			} else if v.AncestorGroupId > 0 && v.AncestorGroupName != v.ClassifyName {
				v.ParentId = classifyMap[v.AncestorGroupId].ClassifyId
			}
			err = v.Update([]string{"ParentId"})
			if err != nil {
				fmt.Println("更新开普勒产品库失败", err)
				utils.FileLog.Info("更新开普勒产品库失败", err)
			}
		}
	}
	
	fmt.Println("classifyList:", classifyList)
	return
}


func InitKplerZone() (err error) {
	libUrl := "http://127.0.0.1:8915"
	libResp, err := getKplerZoneLib(libUrl)
	if err != nil {
		return
	}
	if libResp.Ret != 200 {
		fmt.Println("获取开普勒区域库失败", libResp.ErrMsg)
		utils.FileLog.Info("获取开普勒区域库失败", libResp.ErrMsg)
		return
	}

	// 批量插入区域表中
	zoneMap := make(map[int]*models.BaseFromKplerZone)
	for _, v := range libResp.Data {
		zoneObj := new(models.BaseFromKplerZone)
		descendantId, _ := strconv.Atoi(v.DescendantId)
		ancestorId, _ := strconv.Atoi(v.AncestorId)
		if _, ok := zoneMap[descendantId]; !ok {
			zoneObj.ZoneName = v.DescendantName
			//zoneObj.ZoneType = v.DescendantType
			zoneObj.AncestorId = ancestorId
			zoneObj.AncestorType = v.AncestorType
			zoneObj.AncestorName = v.AncestorName
		    zoneObj.DescendantId = descendantId
		    zoneObj.DescendantName = v.DescendantName
		    zoneObj.ModifyTime = time.Now()
		    zoneObj.CreateTime = time.Now()
		    _, err = zoneObj.Add()
		    if err != nil {
				fmt.Println("新增开普勒区域库失败", err)
				utils.FileLog.Info("新增开普勒区域库失败", err)
			}
			zoneMap[descendantId] = zoneObj
			if _, ok := zoneMap[ancestorId]; !ok {
				zoneObj := new(models.BaseFromKplerZone)
				zoneObj.ZoneName = v.AncestorName
				zoneObj.ZoneType = v.AncestorType
				zoneObj.DescendantId = ancestorId
				zoneObj.DescendantName = v.AncestorName
				zoneObj.ModifyTime = time.Now()
				zoneObj.CreateTime = time.Now()
				_, err = zoneObj.Add()
				if err != nil {
					fmt.Println("新增开普勒区域库失败", err)
					utils.FileLog.Info("新增开普勒区域库失败", err)
				}
				zoneMap[ancestorId] = zoneObj
			}
		}
	}
	return
}