add:增加卓创红期指标操作

controllers/base_from_sci_hq.go

@@ -0,0 +1,258 @@
+package controllers
+
+import (
+	"encoding/json"
+	"eta/eta_index_lib/logic"
+	"eta/eta_index_lib/models"
+	"eta/eta_index_lib/utils"
+	"strconv"
+	"time"
+)
+
+type SciHqController struct {
+	BaseAuthController
+}
+
+// Add
+// @Title 新增卓创红期指标接口
+// @Description 新增卓创红期指标接口
+// @Success 200 {object} models.AddEdbInfoReq
+// @router /add [post]
+func (this *SciHqController) Add() {
+	br := new(models.BaseResponse).Init()
+	var cacheKey string
+	defer func() {
+		utils.Rc.Delete(cacheKey)
+		this.Data["json"] = br
+		this.ServeJSON()
+	}()
+	source := utils.DATA_SOURCE_SCI
+	var req models.AddEdbInfoReq
+	err := json.Unmarshal(this.Ctx.Input.RequestBody, &req)
+	if err != nil {
+		br.Msg = "参数解析异常！"
+		br.ErrMsg = "参数解析失败，Err:" + err.Error()
+		return
+	}
+	if req.EdbCode == "" {
+		br.Msg = "请输入指标编码！"
+		br.ErrMsg = "请输入指标编码，指标编码为空"
+		return
+	}
+	cacheKey = utils.CACHE_EDB_DATA_ADD + strconv.Itoa(source) + "_" + req.EdbCode
+	if !utils.Rc.IsExist(cacheKey) {
+		utils.Rc.SetNX(cacheKey, 1, 1*time.Minute)
+		err = models.AddEdbDataFromSci(req.EdbCode)
+		if err != nil {
+			br.Msg = "获取指标信息失败！"
+			br.ErrMsg = "获取指标信息失败 AddEdbDataFromSci，Err:" + err.Error()
+			return
+		}
+		br.Ret = 200
+		br.Success = true
+		br.Msg = "获取成功"
+	} else {
+		br.Ret = 501
+		br.Success = true
+		br.Msg = "系统处理中，请稍后重试"
+	}
+
+}
+
+// Refresh
+// @Title 刷新卓创红期指标接口
+// @Description 刷新卓创红期指标接口
+// @Success 200 {object} models.RefreshEdbInfoReq
+// @router /refresh [post]
+func (this *SciHqController) Refresh() {
+	br := new(models.BaseResponse).Init()
+	defer func() {
+		this.Data["json"] = br
+		this.ServeJSON()
+	}()
+	source := utils.DATA_SOURCE_SCI
+	var req models.RefreshEdbInfoReq
+	err := json.Unmarshal(this.Ctx.Input.RequestBody, &req)
+	if err != nil {
+		br.Msg = "参数解析异常！"
+		br.ErrMsg = "参数解析失败，Err:" + err.Error()
+		return
+	}
+	if req.EdbCode == "" {
+		br.Msg = "请输入指标编码！"
+		br.ErrMsg = "请输入指标编码，指标编码为空"
+		return
+	}
+	if req.EdbInfoId < 0 {
+		br.Msg = "请输入指标ID！"
+		br.ErrMsg = "请输入指标ID"
+		return
+	}
+
+	// 获取指标详情
+	edbInfo, err := models.GetEdbInfoByEdbCode(source, req.EdbCode)
+	if err != nil {
+		br.Msg = "指标不存在！"
+		br.ErrMsg = "指标不存在"
+		return
+	}
+	isHandling, errMsg, err := logic.RefreshBaseEdbInfo(edbInfo, req.StartDate)
+	if isHandling {
+		br.Ret = 501
+		br.Success = true
+		br.Msg = "系统处理中，请稍后重试"
+		return
+	}
+	if err != nil {
+		br.Msg = errMsg
+		br.ErrMsg = err.Error()
+		return
+	}
+
+	br.Ret = 200
+	br.Success = true
+	br.Msg = "获取成功"
+}
+
+// HandleExcelData
+// @Title 处理卓创（红桃3）指标的接口
+// @Description 处理卓创（红桃3）指标的接口
+// @Success 200 {object} models.HandleMysteelIndexResp
+// @router /handle/excel_data [post]
+func (this *SciHqController) HandleExcelData() {
+	br := new(models.BaseResponse).Init()
+	defer func() {
+		this.Data["json"] = br
+		this.ServeJSON()
+	}()
+	var req []*models.HandleSciHqExcelDataReq
+	err := json.Unmarshal(this.Ctx.Input.RequestBody, &req)
+	if err != nil {
+		br.Msg = "参数解析异常！"
+		br.ErrMsg = "参数解析失败，Err:" + err.Error()
+		return
+	}
+	indexList, err := models.GetAllBaseFromSciHqIndex()
+	if err != nil {
+		br.Msg = "获取指标列表失败！"
+		br.ErrMsg = "获取指标列表失败，Err:" + err.Error()
+		return
+	}
+	allIndexMap := make(map[string]*models.BaseFromSciHqIndex)
+	for _, v := range indexList {
+		allIndexMap[v.IndexCode] = v
+	}
+
+	addSciHqIndexList := make([]*models.BaseFromSciHqIndex, 0)
+	for _, v := range req {
+		t := new(models.BaseFromSciHqIndex)
+		if _, ok := allIndexMap[v.ExcelIndexCode]; !ok {
+			t.ClassifyId = 0
+			t.IndexName = v.IndexName
+			t.IndexCode = v.ExcelIndexCode
+			t.Frequency = v.Frequency
+			t.Unit = v.Unit
+			t.TerminalCode = v.TerminalCode
+			t.FilePath = v.FilePath
+			t.CreateTime = time.Now()
+			t.ModifyTime = time.Now()
+			addSciHqIndexList = append(addSciHqIndexList, t)
+		}
+	}
+	if len(addSciHqIndexList) > 0 {
+		err = models.BatchAddBaseFromSciHqIndex(addSciHqIndexList)
+		if err != nil {
+			br.Msg = "添加指标失败！"
+			br.ErrMsg = "添加指标失败，Err:" + err.Error()
+			return
+		}
+	}
+
+	indexList, err = models.GetAllBaseFromSciHqIndex()
+	if err != nil {
+		br.Msg = "获取指标列表失败！"
+		br.ErrMsg = "获取指标列表失败，Err:" + err.Error()
+		return
+	}
+	allIndexMap = make(map[string]*models.BaseFromSciHqIndex)
+	for _, v := range indexList {
+		allIndexMap[v.IndexCode] = v
+	}
+	for _, v := range req {
+		if indexInfo, ok := allIndexMap[v.ExcelIndexCode]; !ok {
+			utils.FileLog.Info("指标不存在,indexCode:" + v.ExcelIndexCode)
+			continue
+		} else {
+			indexDataList, err := models.GetBaseFromSciHqDataByIndexCode(indexInfo.IndexCode)
+			if err != nil {
+				br.Msg = "获取指标数据失败！"
+				br.ErrMsg = "获取指标数据失败，Err:" + err.Error()
+				return
+			}
+			indexDataExistMap := make(map[string]*models.BaseFromSciHqData)
+			for _, indexData := range indexDataList {
+				indexDataExistMap[indexData.DataTime] = indexData
+			}
+			addSciHqDataList := make([]*models.BaseFromSciHqData, 0)
+			for dataDate, dataVal := range v.Data {
+				currDataTime, err := time.ParseInLocation(utils.FormatDate, dataDate, time.Local)
+				if err != nil {
+					utils.FileLog.Info("时间格式化失败,indexCode:" + v.ExcelIndexCode + "Err:" + err.Error())
+					continue
+				}
+				timestamp := currDataTime.UnixNano() / 1e6
+				sciHqData, ok := indexDataExistMap[dataDate]
+				if !ok {
+					tmpBaseFromSciData := &models.BaseFromSciHqData{
+						BaseFromSciHqIndexId: indexInfo.BaseFromSciHqIndexId,
+						IndexCode:            indexInfo.IndexCode,
+						DataTime:             dataDate,
+						Value:                dataVal,
+						CreateTime:           time.Now(),
+						ModifyTime:           time.Now(),
+						DataTimestamp:        timestamp,
+					}
+					addSciHqDataList = append(addSciHqDataList, tmpBaseFromSciData)
+				} else {
+					existValue := sciHqData.Value
+					if dataVal != "" && existValue != dataVal {
+						sciHqData.Value = dataVal
+						sciHqData.ModifyTime = time.Now()
+						if sciHqData.SciHqDataId > 0 {
+							err = sciHqData.Update([]string{"value", "modify_time"})
+							if err != nil {
+								utils.FileLog.Info("更新指标数据失败,indexCode:" + v.ExcelIndexCode + "Err:" + err.Error())
+								continue
+							}
+						}
+					}
+				}
+			}
+			if len(addSciHqDataList) > 0 {
+				err = models.BatchAddBaseFromSciHqData(addSciHqDataList)
+				if err != nil {
+					utils.FileLog.Info("添加指标数据失败,indexCode:" + v.ExcelIndexCode + "Err:" + err.Error())
+					continue
+				}
+			}
+			// 同步刷新ETA图库卓创红期的指标
+			{
+				// 获取指标详情
+				edbInfo, err := models.GetEdbInfoByEdbCode(utils.DATA_SOURCE_SCI_HQ, indexInfo.IndexCode)
+				if err != nil && err.Error() != utils.ErrNoRow() {
+					utils.FileLog.Info("刷新指标异常,indexCode:" + v.ExcelIndexCode + "Err:" + err.Error())
+					continue
+				}
+
+				// 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, ``)
+				}
+			}
+		}
+	}
+
+	br.Msg = "处理成功"
+	br.Success = true
+	br.Ret = 200
+}

logic/base_edb_info.go

@@ -34,6 +34,8 @@ func RefreshBaseEdbInfo(edbInfo *models.EdbInfo, startDate string) (isHandling b
 	case utils.DATA_SOURCE_CCF:
 		ccfOb := new(models.BaseFromCCF)
 		err = ccfOb.Refresh(edbInfo.EdbInfoId, edbInfo.EdbCode, startDate)
+	case utils.DATA_SOURCE_SCI_HQ:
+		err = models.RefreshEdbDataFromSciHq(edbInfo.EdbInfoId, edbInfo.EdbCode, startDate)
 	default:
 		return
 	}

models/base_from_sci_hq.go

@@ -0,0 +1,242 @@
+package models
+
+import (
+	"eta/eta_index_lib/utils"
+	"fmt"
+	"strconv"
+	"strings"
+	"time"
+
+	"github.com/beego/beego/v2/client/orm"
+)
+
+func GetBaseFromSciHqDataByCondition(condition string, pars []interface{}) (list []*BaseFromSciHqData, err error) {
+	o := orm.NewOrm()
+	sql := `SELECT * FROM base_from_sci_hq_data WHERE 1=1 `
+	if condition != "" {
+		sql += condition
+	}
+	_, err = o.Raw(sql, pars).QueryRows(&list)
+	return
+}
+
+func GetBaseFromSciHqDataByIndexCode(indexCode string) (list []*BaseFromSciHqData, err error) {
+	o := orm.NewOrm()
+	sql := `SELECT * FROM base_from_sci_hq_data WHERE 1=1 AND index_code=?`
+	_, err = o.Raw(sql, indexCode).QueryRows(&list)
+	return
+}
+
+// AddEdbDataFromSciHq 新增卓创红期指标数据
+func AddEdbDataFromSciHq(edbCode string) (err error) {
+	o := orm.NewOrm()
+
+	var condition string
+	var pars []interface{}
+	if edbCode != "" {
+		condition += " AND index_code=? "
+		pars = append(pars, edbCode)
+	}
+	sciBaseDataAll, err := GetBaseFromSciHqDataByCondition(condition, pars)
+	if err != nil && err.Error() != utils.ErrNoRow() {
+		return
+	}
+	var isAdd bool
+	addSql := ` INSERT INTO edb_data_sci_hq(edb_info_id,edb_code,data_time,value,create_time,modify_time,data_timestamp) values `
+	existMap := make(map[string]string)
+	for _, sv := range sciBaseDataAll {
+		eDate := sv.DataTime
+		dataTime, err := time.ParseInLocation(utils.FormatDate, eDate, time.Local)
+		if err != nil {
+			return err
+		}
+		timestamp := dataTime.UnixNano() / 1e6
+		timeStr := fmt.Sprintf("%d", timestamp)
+		if _, ok := existMap[eDate]; !ok {
+			addSql += GetAddSql("0", edbCode, eDate, timeStr, sv.Value)
+			isAdd = true
+		}
+		existMap[eDate] = sv.Value
+	}
+	if isAdd {
+		addSql = strings.TrimRight(addSql, ",")
+		utils.FileLog.Info("addSql:" + addSql)
+		_, err = o.Raw(addSql).Exec()
+		if err != nil {
+			return err
+		}
+	}
+	return
+}
+
+// RefreshEdbDataFromSciHq 刷新卓创红期指标数据
+func RefreshEdbDataFromSciHq(edbInfoId int, edbCode, startDate string) (err error) {
+	source := utils.DATA_SOURCE_SCI_HQ
+	subSource := utils.DATA_SUB_SOURCE_EDB
+
+	o := orm.NewOrm()
+	edbInfoIdStr := strconv.Itoa(edbInfoId)
+	//计算数据
+	var condition string
+	var pars []interface{}
+
+	if edbCode != "" {
+		condition += " AND index_code=? "
+		pars = append(pars, edbCode)
+	}
+
+	if startDate != "" {
+		condition += " AND data_time>=? "
+		pars = append(pars, startDate)
+	}
+
+	sciDataList, err := GetBaseFromSciDataByCondition(condition, pars)
+	if err != nil {
+		return
+	}
+
+	// 真实数据的最大日期  ， 插入规则配置的日期
+	var realDataMaxDate, edbDataInsertConfigDate time.Time
+	var edbDataInsertConfig *EdbDataInsertConfig
+	var isFindConfigDateRealData bool //是否找到配置日期的实际数据的值
+	{
+		edbDataInsertConfig, err = GetEdbDataInsertConfigByEdbId(edbInfoId)
+		if err != nil && err.Error() != utils.ErrNoRow() {
+			return
+		}
+		if edbDataInsertConfig != nil {
+			edbDataInsertConfigDate = edbDataInsertConfig.Date
+		}
+	}
+
+	var existCondition string
+	var existPars []interface{}
+
+	existCondition += " AND edb_info_id=? "
+	existPars = append(existPars, edbInfoId)
+	if startDate != "" {
+		existCondition += " AND data_time>=? "
+		existPars = append(existPars, startDate)
+	}
+
+	existList, err := GetEdbDataByCondition(source, subSource, existCondition, existPars)
+	if err != nil {
+		return err
+	}
+	existMap := make(map[string]*EdbInfoSearchData)
+	for _, v := range existList {
+		existMap[v.DataTime] = v
+	}
+	addSql := ` INSERT INTO edb_data_sci_hq(edb_info_id,edb_code,data_time,value,create_time,modify_time,data_timestamp) values `
+	var isAdd bool
+	for _, v := range sciDataList {
+		item := v
+
+		eDate := item.DataTime
+		dataTime, err := time.ParseInLocation(utils.FormatDate, eDate, time.Local)
+		if err != nil {
+			return err
+		}
+		if findItem, ok := existMap[v.DataTime]; !ok {
+			sValue := item.Value
+			timestamp := dataTime.UnixNano() / 1e6
+			timeStr := fmt.Sprintf("%d", timestamp)
+
+			addSql += GetAddSql(edbInfoIdStr, edbCode, eDate, timeStr, sValue)
+			isAdd = true
+		} else {
+			if findItem != nil && utils.SubFloatToString(findItem.Value, 30) != item.Value {
+				err = ModifyEdbDataById(source, subSource, findItem.EdbDataId, item.Value)
+				if err != nil {
+					return err
+				}
+			}
+		}
+
+		// 下面代码主要目的是处理掉手动插入的数据判断
+		{
+			if realDataMaxDate.IsZero() || dataTime.After(realDataMaxDate) {
+				realDataMaxDate = dataTime
+			}
+			if edbDataInsertConfigDate.IsZero() || dataTime.Equal(edbDataInsertConfigDate) {
+				isFindConfigDateRealData = true
+			}
+		}
+	}
+
+	// 处理手工数据补充的配置
+	HandleConfigInsertEdbData(realDataMaxDate, edbDataInsertConfig, edbInfoId, source, subSource, existMap, isFindConfigDateRealData)
+
+	if isAdd {
+		addSql = strings.TrimRight(addSql, ",")
+		_, err = o.Raw(addSql).Exec()
+		if err != nil {
+			fmt.Println("RefreshEdbDataFromSci add Err", err.Error())
+			return
+		}
+	}
+	return
+}
+
+// HandleSciHqExcelDataReq 卓创红期的excel数据
+type HandleSciHqExcelDataReq struct {
+	IndexName      string
+	ExcelIndexCode string
+	Frequency      string
+	Unit           string
+	TerminalCode   string
+	FilePath       string
+	Data           map[string]string
+}
+
+type BaseFromSciHqIndex struct {
+	BaseFromSciHqIndexId int       `orm:"column(base_from_sci_hq_index_id);pk"` //序号
+	IndexCode            string    `description:"指标编码"`
+	IndexName            string    `description:"指标名称"`
+	ClassifyId           int       `description:"分类id"`
+	Frequency            string    `description:"频率"`
+	Unit                 string    `description:"单位"`
+	StartDate            string    `description:"开始日期"`
+	EndDate              string    `description:"结束日期"`
+	Sort                 int       `description:"排序"`
+	TerminalCode         string    `description:"终端编码"`
+	FilePath             string    `description:"文件路径"`
+	CreateTime           time.Time `description:"创建时间"`
+	ModifyTime           time.Time `description:"更新时间"`
+}
+
+func GetAllBaseFromSciHqIndex() (items []*BaseFromSciHqIndex, err error) {
+	o := orm.NewOrm()
+	sql := `SELECT * FROM base_from_sci_hq_index`
+	_, err = o.Raw(sql).QueryRows(&items)
+	return
+}
+
+func BatchAddBaseFromSciHqIndex(list []*BaseFromSciHqIndex) (err error) {
+	o := orm.NewOrm()
+	_, err = o.InsertMulti(len(list), list)
+	return
+}
+
+type BaseFromSciHqData struct {
+	SciHqDataId          int       `orm:"column(sci_hq_data_id);pk"`         //序号
+	BaseFromSciHqIndexId int       `orm:"column(base_from_sci_hq_index_id)"` //指标id
+	IndexCode            string    `description:"指标编码"`
+	DataTime             string    `description:"数据时间"`
+	Value                string    `description:"数据值"`
+	CreateTime           time.Time `description:"创建时间"`
+	ModifyTime           time.Time `description:"更新时间"`
+	DataTimestamp        int64     `description:"数据时间戳"`
+}
+
+func (r *BaseFromSciHqData) Update(cols []string) (err error) {
+	o := orm.NewOrm()
+	_, err = o.Update(r, cols...)
+	return
+}
+
+func BatchAddBaseFromSciHqData(list []*BaseFromSciHqData) (err error) {
+	o := orm.NewOrm()
+	_, err = o.InsertMulti(500, list)
+	return
+}

models/db.go

@@ -7,9 +7,10 @@ import (
 	"eta/eta_index_lib/models/future_good"
 	"eta/eta_index_lib/models/supply_analysis"
 	"eta/eta_index_lib/utils"
+	"time"
+
 	"github.com/beego/beego/v2/client/orm"
 	_ "github.com/go-sql-driver/mysql"
-	"time"
 )
 
 func init() {
@@ -140,6 +141,8 @@ func initBaseIndex() {
 		new(BaseFromCCFIndex),
 		new(BaseFromCCFData),
 		new(CCFStockExcel),
+		new(BaseFromSciHqData),
+		new(BaseFromSciHqIndex),
 	)
 }
 

models/edb_data_table.go

@@ -164,6 +164,8 @@ func GetEdbDataTableName(source, subSource int) (tableName string) {
 		tableName = "edb_data_calculate_rjz"
 	case utils.DATA_SOURCE_PREDICT: // 基础预测指标->30
 		tableName = "edb_data_predict_base"
+	case utils.DATA_SOURCE_SCI_HQ: // 卓创红期
+		tableName = "edb_data_sci_hq"
 	default:
 		edbSource := EdbSourceIdMap[source]
 		if edbSource != nil {

routers/commentsRouter.go

@@ -1213,6 +1213,33 @@ func init() {
             Filters: nil,
             Params: nil})
 
+    beego.GlobalControllerRouter["eta/eta_index_lib/controllers:SciHqController"] = append(beego.GlobalControllerRouter["eta/eta_index_lib/controllers:SciHqController"],
+        beego.ControllerComments{
+            Method: "Add",
+            Router: `/add`,
+            AllowHTTPMethods: []string{"post"},
+            MethodParams: param.Make(),
+            Filters: nil,
+            Params: nil})
+
+    beego.GlobalControllerRouter["eta/eta_index_lib/controllers:SciHqController"] = append(beego.GlobalControllerRouter["eta/eta_index_lib/controllers:SciHqController"],
+        beego.ControllerComments{
+            Method: "HandleExcelData",
+            Router: `/handle/excel_data`,
+            AllowHTTPMethods: []string{"post"},
+            MethodParams: param.Make(),
+            Filters: nil,
+            Params: nil})
+
+    beego.GlobalControllerRouter["eta/eta_index_lib/controllers:SciHqController"] = append(beego.GlobalControllerRouter["eta/eta_index_lib/controllers:SciHqController"],
+        beego.ControllerComments{
+            Method: "Refresh",
+            Router: `/refresh`,
+            AllowHTTPMethods: []string{"post"},
+            MethodParams: param.Make(),
+            Filters: nil,
+            Params: nil})
+
     beego.GlobalControllerRouter["eta/eta_index_lib/controllers:ShController"] = append(beego.GlobalControllerRouter["eta/eta_index_lib/controllers:ShController"],
         beego.ControllerComments{
             Method: "Add",

routers/router.go

@@ -275,6 +275,11 @@ func init() {
 				&controllers.ShanghaiSmmController{},
 			),
 		),
+		beego.NSNamespace("/sci_hq",
+			beego.NSInclude(
+				&controllers.SciHqController{},
+			),
+		),
 	)
 	beego.AddNamespace(ns)
 }

services/base_from_sci_hq.go

@@ -0,0 +1,8 @@
+package services
+
+import "eta/eta_index_lib/models"
+
+// HandleSciHqIndex 处理卓创红期的Excel数据
+func HandleSciHqIndex([]*models.HandleSciHqExcelDataReq) {
+
+}

utils/constants.go

@@ -109,84 +109,85 @@ const (
 	DATA_SOURCE_BUSINESS      = 84 // 来源于自有数据
 	DATA_SOURCE_SCI99         = 85 // 卓创资讯
 	DATA_SOURCE_CCF           = 86 // CCF化纤信息
+	DATA_SOURCE_SCI_HQ        = 87 // 卓创红期->87
 )
 
 // 指标来源的中文展示
 const (
-	DATA_SOURCE_NAME_THS                                  = `同花顺`                //同花顺
-	DATA_SOURCE_NAME_WIND                                 = `wind`                  //wind
-	DATA_SOURCE_NAME_PB                                   = `彭博`                  //彭博
+	DATA_SOURCE_NAME_THS                                  = `同花顺`               //同花顺
+	DATA_SOURCE_NAME_WIND                                 = `wind`              //wind
+	DATA_SOURCE_NAME_PB                                   = `彭博`                //彭博
 	DATA_SOURCE_NAME_CALCULATE                            = `指标运算`              //指标运算
-	DATA_SOURCE_NAME_CALCULATE_LJZZY                      = `累计值转月值`          //累计值转月
-	DATA_SOURCE_NAME_CALCULATE_TBZ                        = `同比值`                //同比值
-	DATA_SOURCE_NAME_CALCULATE_TCZ                        = `同差值`                //同差值
-	DATA_SOURCE_NAME_CALCULATE_NSZYDPJJS                  = `N数值移动平均计算`     //N数值移动平均计算
+	DATA_SOURCE_NAME_CALCULATE_LJZZY                      = `累计值转月值`            //累计值转月
+	DATA_SOURCE_NAME_CALCULATE_TBZ                        = `同比值`               //同比值
+	DATA_SOURCE_NAME_CALCULATE_TCZ                        = `同差值`               //同差值
+	DATA_SOURCE_NAME_CALCULATE_NSZYDPJJS                  = `N数值移动平均计算`         //N数值移动平均计算
 	DATA_SOURCE_NAME_MANUAL                               = `手工数据`              //手工指标
-	DATA_SOURCE_NAME_LZ                                   = `隆众`                  //隆众
-	DATA_SOURCE_NAME_YS                                   = `SMM`                   //有色
-	DATA_SOURCE_NAME_CALCULATE_HBZ                        = `环比值`                //环比值->12
-	DATA_SOURCE_NAME_CALCULATE_HCZ                        = `环差值`                //环差值->13
-	DATA_SOURCE_NAME_CALCULATE_BP                         = `升频`                  //变频,2023-2-10 13:56:01调整为"升频"->14
-	DATA_SOURCE_NAME_GL                                   = `钢联`                  //钢联->15
-	DATA_SOURCE_NAME_ZZ                                   = `郑商所`                //郑商所->16
-	DATA_SOURCE_NAME_DL                                   = `大商所`                //大商所->17
-	DATA_SOURCE_NAME_SH                                   = `上期所`                //上期所->18
-	DATA_SOURCE_NAME_CFFEX                                = `中金所`                //中金所->19
+	DATA_SOURCE_NAME_LZ                                   = `隆众`                //隆众
+	DATA_SOURCE_NAME_YS                                   = `SMM`               //有色
+	DATA_SOURCE_NAME_CALCULATE_HBZ                        = `环比值`               //环比值->12
+	DATA_SOURCE_NAME_CALCULATE_HCZ                        = `环差值`               //环差值->13
+	DATA_SOURCE_NAME_CALCULATE_BP                         = `升频`                //变频,2023-2-10 13:56:01调整为"升频"->14
+	DATA_SOURCE_NAME_GL                                   = `钢联`                //钢联->15
+	DATA_SOURCE_NAME_ZZ                                   = `郑商所`               //郑商所->16
+	DATA_SOURCE_NAME_DL                                   = `大商所`               //大商所->17
+	DATA_SOURCE_NAME_SH                                   = `上期所`               //上期所->18
+	DATA_SOURCE_NAME_CFFEX                                = `中金所`               //中金所->19
 	DATA_SOURCE_NAME_SHFE                                 = `上期能源`              //上期能源->20
-	DATA_SOURCE_NAME_GIE                                  = `欧洲天然气`            //欧洲天然气->21
+	DATA_SOURCE_NAME_GIE                                  = `欧洲天然气`             //欧洲天然气->21
 	DATA_SOURCE_NAME_CALCULATE_TIME_SHIFT                 = `时间移位`              //时间移位->22
 	DATA_SOURCE_NAME_CALCULATE_ZJPJ                       = `直接拼接`              //直接拼接->23
-	DATA_SOURCE_NAME_CALCULATE_LJZTBPJ                    = `累计值同比拼接`        //累计值同比拼接->24
-	DATA_SOURCE_NAME_LT                                   = `路透`                  //路透->25
-	DATA_SOURCE_NAME_COAL                                 = `中国煤炭市场网`        //中国煤炭市场网->26
+	DATA_SOURCE_NAME_CALCULATE_LJZTBPJ                    = `累计值同比拼接`           //累计值同比拼接->24
+	DATA_SOURCE_NAME_LT                                   = `路透`                //路透->25
+	DATA_SOURCE_NAME_COAL                                 = `中国煤炭市场网`           //中国煤炭市场网->26
 	DATA_SOURCE_NAME_PYTHON                               = `代码运算`              //python代码->27
 	DATA_SOURCE_NAME_PB_FINANCE                           = `彭博财务`              //彭博财务数据->28
-	DATA_SOURCE_NAME_GOOGLE_TRAVEL                        = `our world in data`     //谷歌出行数据->29
+	DATA_SOURCE_NAME_GOOGLE_TRAVEL                        = `our world in data` //谷歌出行数据->29
 	DATA_SOURCE_NAME_PREDICT                              = `预测指标`              //普通预测指标->30
-	DATA_SOURCE_NAME_PREDICT_CALCULATE                    = `预测指标运算`          //预测指标运算->31
+	DATA_SOURCE_NAME_PREDICT_CALCULATE                    = `预测指标运算`            //预测指标运算->31
 	DATA_SOURCE_NAME_PREDICT_CALCULATE_TBZ                = `预测同比`              //预测指标 - 同比值->32
 	DATA_SOURCE_NAME_PREDICT_CALCULATE_TCZ                = `预测同差`              //预测指标 - 同差值->33
 	DATA_SOURCE_NAME_MYSTEEL_CHEMICAL                     = `钢联化工`              //钢联化工->34
 	DATA_SOURCE_NAME_CALCULATE_CJJX                       = `超季节性`              //超季节性->35
-	DATA_SOURCE_NAME_EIA_STEO                             = `EIA STERO报告`         //eia stero报告->36
+	DATA_SOURCE_NAME_EIA_STEO                             = `EIA STERO报告`       //eia stero报告->36
 	DATA_SOURCE_NAME_CALCULATE_NHCC                       = `拟合残差`              //计算指标（拟合残差）->37
-	DATA_SOURCE_NAME_COM_TRADE                            = `UN`                    //联合国商品贸易数据->38
-	DATA_SOURCE_NAME_PREDICT_CALCULATE_NSZYDPJJS          = `预测N数值移动平均计算` //预测指标 - N数值移动平均计算 -> 39
+	DATA_SOURCE_NAME_COM_TRADE                            = `UN`                //联合国商品贸易数据->38
+	DATA_SOURCE_NAME_PREDICT_CALCULATE_NSZYDPJJS          = `预测N数值移动平均计算`       //预测指标 - N数值移动平均计算 -> 39
 	DATA_SOURCE_NAME_CALCULATE_ADJUST                     = `数据调整`              //数据调整->40
-	DATA_SOURCE_NAME_SCI                                  = `SCI`                   //卓创数据（红桃三）->41
-	DATA_SOURCE_NAME_PREDICT_CALCULATE_LJZZY              = `预测累计值转月值`      //预测指标 - 累计值转月->42
-	DATA_SOURCE_NAME_PREDICT_CALCULATE_HBZ                = `预测环比值`            //预测指标 - 环比值->43
-	DATA_SOURCE_NAME_PREDICT_CALCULATE_HCZ                = `预测环差值`            //预测指标 - 环差值->44
+	DATA_SOURCE_NAME_SCI                                  = `SCI`               //卓创数据（红桃三）->41
+	DATA_SOURCE_NAME_PREDICT_CALCULATE_LJZZY              = `预测累计值转月值`          //预测指标 - 累计值转月->42
+	DATA_SOURCE_NAME_PREDICT_CALCULATE_HBZ                = `预测环比值`             //预测指标 - 环比值->43
+	DATA_SOURCE_NAME_PREDICT_CALCULATE_HCZ                = `预测环差值`             //预测指标 - 环差值->44
 	DATA_SOURCE_NAME_PREDICT_CALCULATE_BP                 = `预测升频`              //预测指标 - 升频->45
-	DATA_SOURCE_NAME_PREDICT_CALCULATE_TIME_SHIFT         = `预测时间移位`          //预测指标 - 时间移位->46
-	DATA_SOURCE_NAME_PREDICT_CALCULATE_ZJPJ               = `预测直接拼接`          //预测指标 - 直接拼接->47
-	DATA_SOURCE_NAME_PREDICT_CALCULATE_LJZTBPJ            = `预测累计值同比拼接`    //预测指标 - 累计值同比拼接->48
-	DATA_SOURCE_NAME_PREDICT_CALCULATE_CJJX               = `预测超季节性`          //预测指标 - 超季节性->49
-	DATA_SOURCE_NAME_PREDICT_CALCULATE_NHCC               = `预测拟合残差`          //预测指标 - 计算指标（拟合残差）->50
-	DATA_SOURCE_NAME_CALCULATE_JP                         = `降频`                  //降频->51
-	DATA_SOURCE_NAME_CALCULATE_NH                         = `年化`                  //年化->52
+	DATA_SOURCE_NAME_PREDICT_CALCULATE_TIME_SHIFT         = `预测时间移位`            //预测指标 - 时间移位->46
+	DATA_SOURCE_NAME_PREDICT_CALCULATE_ZJPJ               = `预测直接拼接`            //预测指标 - 直接拼接->47
+	DATA_SOURCE_NAME_PREDICT_CALCULATE_LJZTBPJ            = `预测累计值同比拼接`         //预测指标 - 累计值同比拼接->48
+	DATA_SOURCE_NAME_PREDICT_CALCULATE_CJJX               = `预测超季节性`            //预测指标 - 超季节性->49
+	DATA_SOURCE_NAME_PREDICT_CALCULATE_NHCC               = `预测拟合残差`            //预测指标 - 计算指标（拟合残差）->50
+	DATA_SOURCE_NAME_CALCULATE_JP                         = `降频`                //降频->51
+	DATA_SOURCE_NAME_CALCULATE_NH                         = `年化`                //年化->52
 	DATA_SOURCE_NAME_CALCULATE_KSZS                       = `扩散指数`              //扩散指数->53
 	DATA_SOURCE_NAME_PREDICT_CALCULATE_JP                 = `预测降频`              //预测指标 - 计算指标(降频)->54
 	DATA_SOURCE_NAME_PREDICT_CALCULATE_NH                 = `预测年化`              //预测指标 - 计算指标(年化)->55
-	DATA_SOURCE_NAME_PREDICT_CALCULATE_KSZS               = `预测扩散指数`          //预测指标 - 计算指标(扩散指数)->56
+	DATA_SOURCE_NAME_PREDICT_CALCULATE_KSZS               = `预测扩散指数`            //预测指标 - 计算指标(扩散指数)->56
 	DATA_SOURCE_NAME_BAIINFO                              = `百川盈孚`              //百川盈孚 ->57
 	DATA_SOURCE_NAME_STOCK_PLANT                          = `存量装置`              //存量装置 ->58
-	DATA_SOURCE_NAME_CALCULATE_CORRELATION                = `相关性计算`            //相关性计算->59
-	DATA_SOURCE_NAME_NATIONAL_STATISTICS                  = `国家统计局`            //国家统计局->60
-	DATA_SOURCE_NAME_CALCULATE_LJZZJ                      = `累计值转季值`          //累计值转季 -> 61
-	DATA_SOURCE_NAME_CALCULATE_LJZ                        = `累计值`                //累计值 -> 62
-	DATA_SOURCE_NAME_CALCULATE_LJZNCZJ                    = `年初至今累计值`        //累计值(年初至今） -> 63
-	DATA_SOURCE_NAME_PREDICT_CALCULATE_LJZZJ              = `预测累计值转季值`      //预测指标 - 累计值转季->64
-	DATA_SOURCE_NAME_PREDICT_CALCULATE_LJZ                = `预测累计值`            //预测指标 - 累计值 -> 65
-	DATA_SOURCE_NAME_PREDICT_CALCULATE_LJZNCZJ            = `预测年初至今累计值`    //预测指标 - 累计值(年初至今） -> 66
-	DATA_SOURCE_NAME_CALCULATE_STANDARD_DEVIATION         = `标准差`                //标准差->67
-	DATA_SOURCE_NAME_CALCULATE_PERCENTILE                 = `百分位`                //百分位->68
-	DATA_SOURCE_NAME_PREDICT_CALCULATE_STANDARD_DEVIATION = `预测标准差`            //预测标准差->69
-	DATA_SOURCE_NAME_PREDICT_CALCULATE_PERCENTILE         = `预测百分位`            //预测百分位->70
+	DATA_SOURCE_NAME_CALCULATE_CORRELATION                = `相关性计算`             //相关性计算->59
+	DATA_SOURCE_NAME_NATIONAL_STATISTICS                  = `国家统计局`             //国家统计局->60
+	DATA_SOURCE_NAME_CALCULATE_LJZZJ                      = `累计值转季值`            //累计值转季 -> 61
+	DATA_SOURCE_NAME_CALCULATE_LJZ                        = `累计值`               //累计值 -> 62
+	DATA_SOURCE_NAME_CALCULATE_LJZNCZJ                    = `年初至今累计值`           //累计值(年初至今） -> 63
+	DATA_SOURCE_NAME_PREDICT_CALCULATE_LJZZJ              = `预测累计值转季值`          //预测指标 - 累计值转季->64
+	DATA_SOURCE_NAME_PREDICT_CALCULATE_LJZ                = `预测累计值`             //预测指标 - 累计值 -> 65
+	DATA_SOURCE_NAME_PREDICT_CALCULATE_LJZNCZJ            = `预测年初至今累计值`         //预测指标 - 累计值(年初至今） -> 66
+	DATA_SOURCE_NAME_CALCULATE_STANDARD_DEVIATION         = `标准差`               //标准差->67
+	DATA_SOURCE_NAME_CALCULATE_PERCENTILE                 = `百分位`               //百分位->68
+	DATA_SOURCE_NAME_PREDICT_CALCULATE_STANDARD_DEVIATION = `预测标准差`             //预测标准差->69
+	DATA_SOURCE_NAME_PREDICT_CALCULATE_PERCENTILE         = `预测百分位`             //预测百分位->70
 	DATA_SOURCE_NAME_FUBAO                                = `富宝数据`              //富宝数据->71
 	DATA_SOURCE_NAME_CALCULATE_ZSXY                       = `指数修匀`              //指数修匀->72
-	DATA_SOURCE_NAME_PREDICT_CALCULATE_ZSXY               = `预测指数修匀`          //预测指数修匀->73
-	DATA_SOURCE_NAME_CALCULATE_ZDYFX                      = `自定义分析`            //自定义分析->74
+	DATA_SOURCE_NAME_PREDICT_CALCULATE_ZSXY               = `预测指数修匀`            //预测指数修匀->73
+	DATA_SOURCE_NAME_CALCULATE_ZDYFX                      = `自定义分析`             //自定义分析->74
 	DATA_SOURCE_NAME_YONYI                                = `涌益咨询`              // 涌益咨询
 	DATA_SOURCE_NAME_FENWEI                               = `汾渭数据`              // 汾渭煤炭
 	DATA_SOURCE_NAME_MTJH                                 = `煤炭江湖`              // 煤炭江湖->80
@@ -194,7 +195,8 @@ const (
 	DATA_SOURCE_NAME_CALCULATE_SUM                        = `多指标求和`
 	DATA_SOURCE_NAME_CALCULATE_AVG                        = `多指标求平均`
 	DATA_SOURCE_NAME_BUSINESS                             = `自有数据`
-	DATA_SOURCE_NAME_CCF                                  = `CCF` // CCF化纤信息
+	DATA_SOURCE_NAME_CCF                                  = `CCF`  // CCF化纤信息
+	DATA_SOURCE_NAME_SCI_HQ                               = `卓创红期` // 卓创红期
 )
 
 // 基础数据初始化日期