Merge branch 'feature/eta_1.6.3' into custom

controllers/data_manage/correlation/correlation_chart_classify.go

@@ -7,7 +7,11 @@ import (
 	"eta/eta_api/models/data_manage"
 	"eta/eta_api/models/system"
 	"eta/eta_api/services/data"
+	correlationServ "eta/eta_api/services/data/correlation"
+	"eta/eta_api/services/data/data_manage_permission"
 	"eta/eta_api/utils"
+	"fmt"
+	"sort"
 	"time"
 )
 
@@ -19,93 +23,120 @@ type CorrelationChartClassifyController struct {
 // ChartClassifyList
 // @Title 相关性图表分类列表
 // @Description 相关性图表分类列表接口
-// @Param   IsShowMe   query   bool  true       "是否只看我的，true、false"
-// @Param   Source   query   int  true       "图表类型，3：相关性，4：滚动相关性"
+// @Param   IsShowMe   query   bool  false       "是否只看我的，true、false"
+// @Param   ParentId   query   bool  false       "父级ID"
+// @Param   Source   query   int  false       "图表类型，3：相关性，4：滚动相关性"
 // @Success 200 {object} data_manage.ChartClassifyListResp
 // @router /chart_classify/list [get]
 func (this *CorrelationChartClassifyController) ChartClassifyList() {
 	br := new(models.BaseResponse).Init()
 	defer func() {
+		if br.ErrMsg == "" {
+			br.IsSendEmail = false
+		}
 		this.Data["json"] = br
 		this.ServeJSON()
 	}()
 	resp := new(data_manage.ChartClassifyListResp)
 
 	// 获取当前账号的不可见指标
-	noPermissionChartIdMap := make(map[int]bool)
-	{
-		obj := data_manage.EdbInfoNoPermissionAdmin{}
-		confList, err := obj.GetAllChartListByAdminId(this.SysUser.AdminId)
-		if err != nil && err.Error() != utils.ErrNoRow() {
-			br.Msg = "获取失败"
-			br.ErrMsg = "获取不可见指标配置数据失败，Err:" + err.Error()
-			return
-		}
-		for _, v := range confList {
-			noPermissionChartIdMap[v.ChartInfoId] = true
-		}
-	}
-
-	isShowMe, _ := this.GetBool("IsShowMe")
-	//if isShowMe {
-	//	errMsg, err := getChartClassifyListForMe(*this.SysUser, resp)
-	//	if err != nil {
-	//		br.Msg = errMsg
-	//		br.ErrMsg = err.Error()
+	//noPermissionChartIdMap := make(map[int]bool)
+	//{
+	//	obj := data_manage.EdbInfoNoPermissionAdmin{}
+	//	confList, err := obj.GetAllChartListByAdminId(this.SysUser.AdminId)
+	//	if err != nil && err.Error() != utils.ErrNoRow() {
+	//		br.Msg = "获取失败"
+	//		br.ErrMsg = "获取不可见指标配置数据失败，Err:" + err.Error()
 	//		return
 	//	}
-	//	br.Ret = 200
-	//	br.Success = true
-	//	br.Msg = "获取成功"
-	//	br.Data = resp
-	//	return
+	//	for _, v := range confList {
+	//		noPermissionChartIdMap[v.ChartInfoId] = true
+	//	}
 	//}
 
-	source, _ := this.GetInt("Source")
-	if source <= 0 {
-		source = utils.CHART_SOURCE_CORRELATION
-	}
+	isShowMe, _ := this.GetBool("IsShowMe")
+	parentId, _ := this.GetInt("ParentId")
+	source, _ := this.GetInt("Source", utils.CHART_SOURCE_CORRELATION)
 
-	rootList, err := data_manage.GetChartClassifyByParentId(0, utils.CHART_SOURCE_CORRELATION)
+	nodeAll := make([]*data_manage.ChartClassifyItems, 0)
+	// 查询分类节点
+	rootList, err := data_manage.GetChartClassifyByParentId(parentId, utils.CHART_SOURCE_CORRELATION)
 	if err != nil && err.Error() != utils.ErrNoRow() {
 		br.Msg = "获取失败"
 		br.ErrMsg = "获取数据失败，Err:" + err.Error()
 		return
 	}
 
-	allChartInfo, err := data_manage.GetChartInfoAll([]int{source})
-	if err != nil && err.Error() != utils.ErrNoRow() {
-		br.Msg = "获取失败"
-		br.ErrMsg = "获取图表信息失败，Err:" + err.Error()
-		return
+	if len(rootList) > 0 {
+		permissionClassifyIdList, e := data_manage_permission.GetUserChartClassifyPermissionList(this.SysUser.AdminId, 0)
+		if e != nil {
+			br.Msg = "获取失败"
+			br.ErrMsg = "获取已授权分类id数据失败，Err:" + e.Error()
+			return
+		}
+
+		for _, v := range rootList {
+			// 操作按钮权限
+			v.HaveOperaAuth = data_manage_permission.CheckChartClassifyPermissionByPermissionIdList(v.IsJoinPermission, v.ChartClassifyId, permissionClassifyIdList)
+			button := data.GetChartClassifyOpButton(this.SysUser, v.SysUserId, v.HaveOperaAuth)
+			v.Button = button
+			v.ParentId = parentId
+			v.Children = make([]*data_manage.ChartClassifyItems, 0)
+
+			nodeAll = append(nodeAll, v)
+		}
 	}
 
-	chartInfoMap := make(map[int][]*data_manage.ChartClassifyItems)
-	for _, v := range allChartInfo {
-		if !isShowMe {
-			chartInfoMap[v.ChartClassifyId] = append(chartInfoMap[v.ChartClassifyId], v)
-			continue
+	// 查询图表节点, ParentId=0时说明仅查询一级目录节点
+	if parentId > 0 {
+		// 查询当前分类信息
+		currClassify, e := data_manage.GetChartClassifyById(parentId)
+		if e != nil {
+			br.Msg = "获取失败"
+			br.ErrMsg = "获取当前分类信息失败，Err:" + e.Error()
+			return
+		}
+
+		// 获取所有有权限的指标和分类
+		permissionEdbIdList, permissionClassifyIdList, e := data_manage_permission.GetUserChartAndClassifyPermissionList(this.SysUser.AdminId, 0, 0)
+		if e != nil {
+			br.Msg = "获取失败"
+			br.ErrMsg = "获取所有有权限的指标和分类失败，Err:" + e.Error()
+			return
 		}
-		if v.SysUserId != this.SysUser.AdminId {
-			continue
+
+		var adminId int
+		if isShowMe {
+			adminId = this.SysUser.AdminId
 		}
-		chartInfoMap[v.ChartClassifyId] = append(chartInfoMap[v.ChartClassifyId], v)
-	}
-	rootChildMap := make(map[int][]*data_manage.ChartClassifyItems)
-	for _, v := range rootList {
-		rootChildMap[v.ParentId] = append(rootChildMap[v.ParentId], v)
-		if existItems, ok := chartInfoMap[v.ChartClassifyId]; ok {
-			v.Children = existItems
-		} else {
-			items := make([]*data_manage.ChartClassifyItems, 0)
-			v.Children = items
+
+		charts, e := data_manage.GetChartInfoBySourceAndParentId(source, parentId, adminId)
+		if e != nil {
+			br.Msg = "获取失败"
+			br.ErrMsg = fmt.Sprintf("获取图表信息失败, Err: %v", e)
+			return
+		}
+		for _, v := range charts {
+			// 操作按钮权限
+			v.HaveOperaAuth = data_manage_permission.CheckChartPermissionByPermissionIdList(v.IsJoinPermission, currClassify.IsJoinPermission, v.ChartInfoId, v.ChartClassifyId, permissionEdbIdList, permissionClassifyIdList)
+			button := data.GetChartOpButton(this.SysUser, v.SysUserId, v.HaveOperaAuth)
+			button.AddButton = false //不管有没有权限，图表都是没有添加按钮的
+			v.Button = button
+			v.ParentId = parentId
+			v.Children = make([]*data_manage.ChartClassifyItems, 0)
+
+			nodeAll = append(nodeAll, v)
 		}
 	}
 
-	// 移除没有权限的图表
-	allNodes := data.HandleNoPermissionChart(rootList, noPermissionChartIdMap, this.SysUser.AdminId)
-	resp.AllNodes = allNodes
+	// 整体排序
+	if len(nodeAll) > 0 {
+		sort.Slice(nodeAll, func(i, j int) bool {
+			return nodeAll[i].Sort < nodeAll[j].Sort
+		})
+	}
 
+	resp.AllNodes = nodeAll
 	br.Ret = 200
 	br.Success = true
 	br.Msg = "获取成功"
@@ -514,6 +545,15 @@ func (this *CorrelationChartClassifyController) DeleteChartClassify() {
 				}
 			}
 		}
+
+		// 删除图表关联
+		e = correlationServ.RemoveCorrelationRelate(chartInfo.ChartInfoId)
+		if e != nil {
+			br.Msg = "删除失败"
+			br.ErrMsg = fmt.Sprintf("删除相关性图表关联失败, %v", e)
+			return
+		}
+
 		//新增操作日志
 		{
 			chartLog := new(data_manage.ChartInfoLog)
@@ -530,6 +570,7 @@ func (this *CorrelationChartClassifyController) DeleteChartClassify() {
 			go data_manage.AddChartInfoLog(chartLog)
 		}
 	}
+
 	br.Ret = 200
 	br.Msg = "删除成功"
 	br.Success = true
@@ -545,10 +586,12 @@ func (this *CorrelationChartClassifyController) DeleteChartClassify() {
 func (this *CorrelationChartClassifyController) ChartClassifyMove() {
 	br := new(models.BaseResponse).Init()
 	defer func() {
+		if br.ErrMsg == "" {
+			br.IsSendEmail = false
+		}
 		this.Data["json"] = br
 		this.ServeJSON()
 	}()
-
 	sysUser := this.SysUser
 	if sysUser == nil {
 		br.Msg = "请登录"
@@ -556,7 +599,6 @@ func (this *CorrelationChartClassifyController) ChartClassifyMove() {
 		br.Ret = 408
 		return
 	}
-
 	var req data_manage.MoveChartClassifyReq
 	err := json.Unmarshal(this.Ctx.Input.RequestBody, &req)
 	if err != nil {
@@ -564,107 +606,203 @@ func (this *CorrelationChartClassifyController) ChartClassifyMove() {
 		br.ErrMsg = "参数解析失败，Err:" + err.Error()
 		return
 	}
-
-	if req.ClassifyId <= 0 {
+	if req.ClassifyId <= 0 && req.ChartInfoId <= 0 {
 		br.Msg = "参数错误"
-		br.ErrMsg = "分类id小于等于0"
-		return
-	}
-	//判断分类是否存在
-	chartClassifyInfo, err := data_manage.GetChartClassifyById(req.ClassifyId)
-	if err != nil {
-		br.Msg = "移动失败"
-		br.ErrMsg = "获取分类信息失败,Err:" + err.Error()
-		return
-	}
-	if chartClassifyInfo.Source != utils.CHART_SOURCE_CORRELATION {
-		br.Msg = "分类异常"
-		br.ErrMsg = "分类异常,不是相关性图表的分类"
+		br.ErrMsg = "请选择拖动目标，分类目录或者指标"
 		return
 	}
-	updateCol := make([]string, 0)
 
-	//判断上级id是否一致，如果不一致的话，那么需要移动该分类层级
-	if chartClassifyInfo.ParentId != req.ParentClassifyId && req.ParentClassifyId != 0 {
-		parentChartClassifyInfo, err := data_manage.GetChartClassifyById(req.ParentClassifyId)
+	err, errMsg := data.MoveChartClassify(req, sysUser, utils.CHART_SOURCE_CORRELATION)
+	if errMsg != `` {
+		br.Msg = errMsg
+		br.ErrMsg = errMsg
 		if err != nil {
-			br.Msg = "移动失败"
-			br.ErrMsg = "获取上级分类信息失败,Err:" + err.Error()
-			return
+			br.ErrMsg = err.Error()
+		} else {
+			br.IsSendEmail = false
 		}
-		chartClassifyInfo.ParentId = parentChartClassifyInfo.ChartClassifyId
-		chartClassifyInfo.Level = parentChartClassifyInfo.Level + 1
-		chartClassifyInfo.ModifyTime = time.Now()
-		updateCol = append(updateCol, "ParentId", "Level", "ModifyTime")
+		return
 	}
 
-	//如果有传入 上一个兄弟节点分类id
-	if req.PrevClassifyId > 0 {
-		//上一个兄弟节点
-		prevClassify, err := data_manage.GetChartClassifyById(req.PrevClassifyId)
-		if err != nil {
-			br.Msg = "移动失败"
-			br.ErrMsg = "获取上一个兄弟节点分类信息失败,Err:" + err.Error()
-			return
-		}
+	//if req.ClassifyId <= 0 {
+	//	br.Msg = "参数错误"
+	//	br.ErrMsg = "分类id小于等于0"
+	//	return
+	//}
+	//
+	////判断分类是否存在
+	//chartClassifyInfo, err := data_manage.GetChartClassifyById(req.ClassifyId)
+	//if err != nil {
+	//	br.Msg = "移动失败"
+	//	br.ErrMsg = "获取分类信息失败,Err:" + err.Error()
+	//	return
+	//}
+	//if chartClassifyInfo.Source != utils.CHART_SOURCE_CORRELATION {
+	//	br.Msg = "分类异常"
+	//	br.ErrMsg = "分类异常,不是相关性图表的分类"
+	//	return
+	//}
+	//updateCol := make([]string, 0)
+	//
+	////判断上级id是否一致，如果不一致的话，那么需要移动该分类层级
+	//if chartClassifyInfo.ParentId != req.ParentClassifyId && req.ParentClassifyId != 0 {
+	//	parentChartClassifyInfo, err := data_manage.GetChartClassifyById(req.ParentClassifyId)
+	//	if err != nil {
+	//		br.Msg = "移动失败"
+	//		br.ErrMsg = "获取上级分类信息失败,Err:" + err.Error()
+	//		return
+	//	}
+	//	chartClassifyInfo.ParentId = parentChartClassifyInfo.ChartClassifyId
+	//	chartClassifyInfo.Level = parentChartClassifyInfo.Level + 1
+	//	chartClassifyInfo.ModifyTime = time.Now()
+	//	updateCol = append(updateCol, "ParentId", "Level", "ModifyTime")
+	//}
+	//
+	////如果有传入 上一个兄弟节点分类id
+	//if req.PrevClassifyId > 0 {
+	//	//上一个兄弟节点
+	//	prevClassify, err := data_manage.GetChartClassifyById(req.PrevClassifyId)
+	//	if err != nil {
+	//		br.Msg = "移动失败"
+	//		br.ErrMsg = "获取上一个兄弟节点分类信息失败,Err:" + err.Error()
+	//		return
+	//	}
+	//
+	//	//如果是移动在两个兄弟节点之间
+	//	if req.NextClassifyId > 0 {
+	//		//下一个兄弟节点
+	//		nextClassify, err := data_manage.GetChartClassifyById(req.NextClassifyId)
+	//		if err != nil {
+	//			br.Msg = "移动失败"
+	//			br.ErrMsg = "获取下一个兄弟节点分类信息失败,Err:" + err.Error()
+	//			return
+	//		}
+	//		//如果上一个兄弟与下一个兄弟的排序权重是一致的，那么需要将下一个兄弟（以及下个兄弟的同样排序权重）的排序权重+2，自己变成上一个兄弟的排序权重+1
+	//		if prevClassify.Sort == nextClassify.Sort || prevClassify.Sort == chartClassifyInfo.Sort {
+	//			//变更兄弟节点的排序
+	//			updateSortStr := `sort + 2`
+	//			_ = data_manage.UpdateChartClassifySortByParentId(prevClassify.ParentId, prevClassify.ChartClassifyId, prevClassify.Sort, updateSortStr)
+	//		} else {
+	//			//如果下一个兄弟的排序权重正好是上个兄弟节点的下一层，那么需要再加一层了
+	//			if nextClassify.Sort-prevClassify.Sort == 1 {
+	//				//变更兄弟节点的排序
+	//				updateSortStr := `sort + 1`
+	//				_ = data_manage.UpdateChartClassifySortByParentId(prevClassify.ParentId, 0, prevClassify.Sort, updateSortStr)
+	//			}
+	//		}
+	//	}
+	//
+	//	chartClassifyInfo.Sort = prevClassify.Sort + 1
+	//	chartClassifyInfo.ModifyTime = time.Now()
+	//	updateCol = append(updateCol, "Sort", "ModifyTime")
+	//
+	//} else {
+	//	firstClassify, err := data_manage.GetFirstChartClassifyByParentId(chartClassifyInfo.ParentId)
+	//	if err != nil && err.Error() != utils.ErrNoRow() {
+	//		br.Msg = "移动失败"
+	//		br.ErrMsg = "获取获取当前父级分类下的排序第一条的分类信息失败,Err:" + err.Error()
+	//		return
+	//	}
+	//
+	//	//如果该分类下存在其他分类，且第一个其他分类的排序等于0，那么需要调整排序
+	//	if firstClassify != nil && firstClassify.Sort == 0 {
+	//		updateSortStr := ` sort + 1 `
+	//		_ = data_manage.UpdateChartClassifySortByParentId(firstClassify.ParentId, firstClassify.ChartClassifyId-1, 0, updateSortStr)
+	//	}
+	//
+	//	chartClassifyInfo.Sort = 0 //那就是排在第一位
+	//	chartClassifyInfo.ModifyTime = time.Now()
+	//	updateCol = append(updateCol, "Sort", "ModifyTime")
+	//}
+	//
+	////更新
+	//if len(updateCol) > 0 {
+	//	err = chartClassifyInfo.Update(updateCol)
+	//	if err != nil {
+	//		br.Msg = "移动失败"
+	//		br.ErrMsg = "修改失败,Err:" + err.Error()
+	//		return
+	//	}
+	//}
+	br.Ret = 200
+	br.Success = true
+	br.Msg = "移动成功"
+}
 
-		//如果是移动在两个兄弟节点之间
-		if req.NextClassifyId > 0 {
-			//下一个兄弟节点
-			nextClassify, err := data_manage.GetChartClassifyById(req.NextClassifyId)
-			if err != nil {
-				br.Msg = "移动失败"
-				br.ErrMsg = "获取下一个兄弟节点分类信息失败,Err:" + err.Error()
-				return
-			}
-			//如果上一个兄弟与下一个兄弟的排序权重是一致的，那么需要将下一个兄弟（以及下个兄弟的同样排序权重）的排序权重+2，自己变成上一个兄弟的排序权重+1
-			if prevClassify.Sort == nextClassify.Sort || prevClassify.Sort == chartClassifyInfo.Sort {
-				//变更兄弟节点的排序
-				updateSortStr := `sort + 2`
-				_ = data_manage.UpdateChartClassifySortByParentId(prevClassify.ParentId, prevClassify.ChartClassifyId, prevClassify.Sort, updateSortStr)
-			} else {
-				//如果下一个兄弟的排序权重正好是上个兄弟节点的下一层，那么需要再加一层了
-				if nextClassify.Sort-prevClassify.Sort == 1 {
-					//变更兄弟节点的排序
-					updateSortStr := `sort + 1`
-					_ = data_manage.UpdateChartClassifySortByParentId(prevClassify.ParentId, 0, prevClassify.Sort, updateSortStr)
-				}
-			}
+// ClassifyTree
+// @Title 多层分类列表树
+// @Description 多层分类列表树
+// @Success 200 {object} data_manage.ChartClassifyListResp
+// @router /chart_classify/tree [get]
+func (this *CorrelationChartClassifyController) ClassifyTree() {
+	br := new(models.BaseResponse).Init()
+	defer func() {
+		if br.ErrMsg == "" {
+			br.IsSendEmail = false
 		}
+		this.Data["json"] = br
+		this.ServeJSON()
+	}()
 
-		chartClassifyInfo.Sort = prevClassify.Sort + 1
-		chartClassifyInfo.ModifyTime = time.Now()
-		updateCol = append(updateCol, "Sort", "ModifyTime")
+	allList, err := data_manage.GetChartClassifyAllBySource(utils.CHART_SOURCE_CORRELATION)
+	if err != nil {
+		br.Msg = "获取失败"
+		br.ErrMsg = "获取所有分类失败, Err:" + err.Error()
+		return
+	}
+	nodeAll := make([]*data_manage.ChartClassifyItems, 0)
 
-	} else {
-		firstClassify, err := data_manage.GetFirstChartClassifyByParentId(chartClassifyInfo.ParentId)
-		if err != nil && err.Error() != utils.ErrNoRow() {
-			br.Msg = "移动失败"
-			br.ErrMsg = "获取获取当前父级分类下的排序第一条的分类信息失败,Err:" + err.Error()
+	if len(allList) > 0 {
+		// 已授权分类id
+		permissionClassifyIdList, e := data_manage_permission.GetUserChartClassifyPermissionList(this.SysUser.AdminId, 0)
+		if e != nil {
+			br.Msg = "获取失败"
+			br.ErrMsg = "获取已授权分类id数据失败，Err:" + e.Error()
 			return
 		}
 
-		//如果该分类下存在其他分类，且第一个其他分类的排序等于0，那么需要调整排序
-		if firstClassify != nil && firstClassify.Sort == 0 {
-			updateSortStr := ` sort + 1 `
-			_ = data_manage.UpdateChartClassifySortByParentId(firstClassify.ParentId, firstClassify.ChartClassifyId-1, 0, updateSortStr)
+		for k, v := range allList {
+			// 数据权限
+			v.HaveOperaAuth = data_manage_permission.CheckChartClassifyPermissionByPermissionIdList(v.IsJoinPermission, v.ChartClassifyId, permissionClassifyIdList)
+			// 按钮权限
+			button := data.GetChartClassifyOpButton(this.SysUser, v.SysUserId, v.HaveOperaAuth)
+			allList[k].Button = button
 		}
 
-		chartClassifyInfo.Sort = 0 //那就是排在第一位
-		chartClassifyInfo.ModifyTime = time.Now()
-		updateCol = append(updateCol, "Sort", "ModifyTime")
+		nodeAll = data.GetChartClassifyTreeRecursive(allList, 0)
+		//根据sort值排序
+		sort.Slice(nodeAll, func(i, j int) bool {
+			return nodeAll[i].Sort < nodeAll[j].Sort
+		})
 	}
 
-	//更新
-	if len(updateCol) > 0 {
-		err = chartClassifyInfo.Update(updateCol)
-		if err != nil {
-			br.Msg = "移动失败"
-			br.ErrMsg = "修改失败,Err:" + err.Error()
-			return
+	language := `CN`
+	// 显示的语言
+	{
+		configDetail, _ := system.GetConfigDetailByCode(this.SysUser.AdminId, system.ChartLanguageVar)
+		if configDetail != nil {
+			language = configDetail.ConfigValue
+		} else {
+			configDetail, _ = system.GetDefaultConfigDetailByCode(system.ChartLanguageVar)
+			if configDetail != nil {
+				language = configDetail.ConfigValue
+			}
 		}
 	}
+
+	// 是否允许添加一级分类
+	canOpClassify := true
+	button := data.GetChartClassifyOpButton(this.SysUser, 0, true)
+	if !button.AddButton {
+		canOpClassify = false
+	}
+
+	resp := new(data_manage.ChartClassifyListResp)
+	resp.AllNodes = nodeAll
+	resp.Language = language
+	resp.CanOpClassify = canOpClassify
 	br.Ret = 200
 	br.Success = true
-	br.Msg = "移动成功"
+	br.Msg = "获取成功"
+	br.Data = resp
 }

controllers/data_manage/correlation/correlation_chart_info.go

@@ -13,6 +13,7 @@ import (
 	"eta/eta_api/utils"
 	"fmt"
 	"github.com/rdlucklib/rdluck_tools/paging"
+	"sort"
 	"strconv"
 	"strings"
 	"time"
@@ -90,7 +91,7 @@ func (this *CorrelationChartInfoController) Preview() {
 
 	//chartInfo.CorrelationLeadUnit = req.LeadUnit
 	// 获取图表x轴y轴
-	xEdbIdValue, yDataList, e := correlationServ.GetChartDataByEdbInfo(edbInfoMappingA, edbInfoMappingB, req.LeadValue, req.LeadUnit, req.StartDate, req.EndDate)
+	xEdbIdValue, yDataList, e := correlationServ.GetChartDataByEdbInfo(edbInfoMappingA, edbInfoMappingB, req.LeadValue, req.LeadUnit, req.StartDate, req.EndDate, "")
 	if e != nil {
 		br.Msg = "获取失败"
 		br.ErrMsg = "获取相关性图表, 图表计算值失败, Err:" + e.Error()
@@ -698,49 +699,72 @@ func (this *CorrelationChartInfoController) Detail() {
 		br.ErrMsg = "获取相关性图表, A指标mapping信息失败, Err:" + e.Error()
 		return
 	}
-	edbInfoMappingB, e := data_manage.GetChartEdbMappingByEdbInfoId(correlationChart.EdbInfoIdSecond)
-	if e != nil {
-		br.Msg = "获取失败"
-		br.ErrMsg = "获取相关性图表, B指标mapping信息失败, Err:" + e.Error()
-		return
+	edbInfoMappingB := new(data_manage.ChartEdbInfoMapping)
+	// 非多因子
+	if correlationChart.AnalysisMode != 1 {
+		edbInfoMappingB, e = data_manage.GetChartEdbMappingByEdbInfoId(correlationChart.EdbInfoIdSecond)
+		if e != nil {
+			br.Msg = "获取失败"
+			br.ErrMsg = "获取相关性图表, B指标mapping信息失败, Err:" + e.Error()
+			return
+		}
 	}
 
 	var dataResp interface{} // 绘图数据返回（目前是滚动相关性的图）
 	var xEdbIdValue []int
 	var yDataList []data_manage.YData
-	switch chartInfo.Source {
-	case utils.CHART_SOURCE_CORRELATION: // 相关性图
-		moveUnitDays, ok := utils.FrequencyDaysMap[correlationChart.CalculateUnit]
-		if !ok {
-			br.Msg = "错误的分析周期"
-			br.IsSendEmail = false
-			return
-		}
-		startDate := time.Now().AddDate(0, 0, -correlationChart.CalculateValue*moveUnitDays).Format(utils.FormatDate)
-		endDate := time.Now().Format(utils.FormatDate)
+	if correlationChart.AnalysisMode != 1 {
+		switch chartInfo.Source {
+		case utils.CHART_SOURCE_CORRELATION: // 相关性图
+			moveUnitDays, ok := utils.FrequencyDaysMap[correlationChart.CalculateUnit]
+			if !ok {
+				br.Msg = "错误的分析周期"
+				br.IsSendEmail = false
+				return
+			}
+			startDate := time.Now().AddDate(0, 0, -correlationChart.CalculateValue*moveUnitDays).Format(utils.FormatDate)
+			endDate := time.Now().Format(utils.FormatDate)
 
-		xEdbIdValue, yDataList, e = correlationServ.GetChartDataByEdbInfo(edbInfoMappingA, edbInfoMappingB, correlationChart.LeadValue, correlationChart.LeadUnit, startDate, endDate)
+			xEdbIdValue, yDataList, e = correlationServ.GetChartDataByEdbInfo(edbInfoMappingA, edbInfoMappingB, correlationChart.LeadValue, correlationChart.LeadUnit, startDate, endDate, chartInfo.ExtraConfig)
+			if e != nil {
+				br.Msg = "获取失败"
+				br.ErrMsg = "获取相关性图表, 图表计算值失败, Err:" + e.Error()
+				return
+			}
+		case utils.CHART_SOURCE_ROLLING_CORRELATION: // 滚动相关性图
+			startDate, endDate := utils.GetDateByDateType(correlationChart.DateType, correlationChart.StartDate.Format(utils.FormatDate), correlationChart.EndDate.Format(utils.FormatDate))
+			dataResp, e = correlationServ.GetRollingCorrelationChartDataByEdbInfo(edbInfoMappingA, edbInfoMappingB, correlationChart.LeadValue, correlationChart.LeadUnit, correlationChart.CalculateValue, correlationChart.CalculateUnit, startDate, endDate, chartInfo.ChartName, chartInfo.ChartNameEn)
+			if e != nil {
+				br.Msg = "获取失败"
+				br.ErrMsg = "获取滚动相关性图表, 图表计算值失败, Err:" + e.Error()
+				return
+			}
+		}
+	} else {
+		xEdbIdValue, yDataList, e = correlationServ.GetFactorChartDataByChartId(chartInfoId, chartInfo.ExtraConfig)
 		if e != nil {
 			br.Msg = "获取失败"
 			br.ErrMsg = "获取相关性图表, 图表计算值失败, Err:" + e.Error()
 			return
 		}
-	case utils.CHART_SOURCE_ROLLING_CORRELATION: // 滚动相关性图
-		startDate, endDate := utils.GetDateByDateType(correlationChart.DateType, correlationChart.StartDate.Format(utils.FormatDate), correlationChart.EndDate.Format(utils.FormatDate))
-		dataResp, e = correlationServ.GetRollingCorrelationChartDataByEdbInfo(edbInfoMappingA, edbInfoMappingB, correlationChart.LeadValue, correlationChart.LeadUnit, correlationChart.CalculateValue, correlationChart.CalculateUnit, startDate, endDate, chartInfo.ChartName, chartInfo.ChartNameEn)
+	}
+
+	// 完善指标信息
+	edbList := make([]*data_manage.ChartEdbInfoMapping, 0)
+	if correlationChart.AnalysisMode != 1 {
+		edbList, e = correlationServ.GetChartEdbInfoFormat(chartInfo.ChartInfoId, edbInfoMappingA, edbInfoMappingB)
 		if e != nil {
 			br.Msg = "获取失败"
-			br.ErrMsg = "获取滚动相关性图表, 图表计算值失败, Err:" + e.Error()
+			br.ErrMsg = "获取相关性图表, 完善指标信息失败, Err:" + e.Error()
+			return
+		}
+	} else {
+		// 多因子指标, 获取图表引用到的系列指标(去重后)
+		edbList, e = data_manage.GetChartEdbMappingListByIdList([]int{chartInfoId})
+		if e != nil {
+			err = fmt.Errorf("获取图表引用系列指标失败, err: %v", e)
 			return
 		}
-	}
-
-	// 完善指标信息
-	edbList, e := correlationServ.GetChartEdbInfoFormat(chartInfo.ChartInfoId, edbInfoMappingA, edbInfoMappingB)
-	if e != nil {
-		br.Msg = "获取失败"
-		br.ErrMsg = "获取相关性图表, 完善指标信息失败, Err:" + e.Error()
-		return
 	}
 	correlationInfo := new(data_manage.CorrelationInfo)
 	correlationInfo.LeadValue = correlationChart.LeadValue
@@ -752,6 +776,7 @@ func (this *CorrelationChartInfoController) Detail() {
 	correlationInfo.LeadValue = correlationChart.LeadValue
 	correlationInfo.EdbInfoIdFirst = correlationChart.EdbInfoIdFirst
 	correlationInfo.EdbInfoIdSecond = correlationChart.EdbInfoIdSecond
+	correlationInfo.AnalysisMode = correlationChart.AnalysisMode
 
 	// 判断是否加入我的图库
 	if chartInfoId > 0 && chartInfo != nil {
@@ -783,7 +808,6 @@ func (this *CorrelationChartInfoController) Detail() {
 	chartInfo.IsEnChart = data.CheckIsEnChart(chartInfo.ChartNameEn, edbList[0:1], chartInfo.Source, chartInfo.ChartType)
 	chartInfo.UnitEn = edbInfoMappingA.UnitEn
 
-	// 图表的指标来源
 	sourceNameList, sourceNameEnList := data.GetEdbSourceByEdbInfoIdList(edbList)
 	chartInfo.ChartSource = strings.Join(sourceNameList, ",")
 	chartInfo.ChartSourceEn = strings.Join(sourceNameEnList, ",")
@@ -852,6 +876,24 @@ func (this *CorrelationChartInfoController) Detail() {
 		}
 	}
 
+	// 图表当前分类的分类树
+	classifyLevels := make([]string, 0)
+	{
+		list, e := data_manage.GetChartClassifyAllBySource(utils.CHART_SOURCE_CORRELATION)
+		if e != nil {
+			br.Msg = "获取失败"
+			br.ErrMsg = fmt.Sprintf("获取图表分类失败, Err: %v", e)
+			return
+		}
+		parents := data.GetChartClassifyParentRecursive(list, chartInfo.ChartClassifyId)
+		sort.Slice(parents, func(i, j int) bool {
+			return parents[i].Level < parents[i].Level
+		})
+		for _, v := range parents {
+			classifyLevels = append(classifyLevels, v.UniqueCode)
+		}
+	}
+
 	resp := new(data_manage.ChartInfoDetailResp)
 	resp.ChartInfo = chartInfo
 	resp.EdbInfoList = edbList
@@ -859,6 +901,7 @@ func (this *CorrelationChartInfoController) Detail() {
 	resp.YDataList = yDataList
 	resp.CorrelationChartInfo = correlationInfo
 	resp.DataResp = dataResp
+	resp.ClassifyLevels = classifyLevels
 	br.Ret = 200
 	br.Success = true
 	br.Msg = "获取成功"
@@ -1027,11 +1070,19 @@ func (this *CorrelationChartInfoController) Refresh() {
 	}
 
 	// 刷新相关性图表
-	if e := correlationServ.ChartInfoRefresh(chartInfo.ChartInfoId); e != nil {
+	isAsync, e := correlationServ.ChartInfoRefresh(chartInfo.ChartInfoId, chartInfo.UniqueCode)
+	if e != nil {
 		br.Msg = "刷新失败"
 		br.ErrMsg = "刷新相关性图表失败, Err:" + err.Error()
 		return
 	}
+	// 多因子相关性异步刷新, 前端提示
+	if isAsync {
+		br.Ret = 200
+		br.Success = true
+		br.Msg = "刷新时间较长, 请10分钟后查看"
+		return
+	}
 
 	//清除图表缓存
 	{
@@ -1053,10 +1104,12 @@ func (this *CorrelationChartInfoController) Refresh() {
 func (this *CorrelationChartInfoController) Copy() {
 	br := new(models.BaseResponse).Init()
 	defer func() {
+		if br.ErrMsg == "" {
+			br.IsSendEmail = false
+		}
 		this.Data["json"] = br
 		this.ServeJSON()
 	}()
-
 	sysUser := this.SysUser
 	if sysUser == nil {
 		br.Msg = "请登录"
@@ -1064,6 +1117,28 @@ func (this *CorrelationChartInfoController) Copy() {
 		br.Ret = 408
 		return
 	}
+	var req data_manage.CopyAddChartInfoReq
+	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.ChartInfoId <= 0 {
+		br.Msg = "参数有误"
+		br.ErrMsg = fmt.Sprintf("参数有误, ChartInfoId: %d", req.ChartInfoId)
+		return
+	}
+	req.ChartName = strings.TrimSpace(req.ChartName)
+	if req.ChartName == "" {
+		br.Msg = "请输入图表名称"
+		return
+	}
+	if req.ChartClassifyId <= 0 {
+		br.Msg = "请选择图表分类"
+		return
+	}
+
 	deleteCache := true
 	cacheKey := "CACHE_CHART_INFO_ADD_" + strconv.Itoa(sysUser.AdminId)
 	defer func() {
@@ -1077,76 +1152,297 @@ func (this *CorrelationChartInfoController) Copy() {
 		br.ErrMsg = "系统处理中，请稍后重试！" + sysUser.RealName + ";data:" + string(this.Ctx.Input.RequestBody)
 		return
 	}
-	var req data_manage.CopyAddChartInfoReq
-	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
+
+	chartSource := utils.CHART_SOURCE_CORRELATION
+	// 校验分类、图表名称
+	{
+		var cond string
+		var pars []interface{}
+		switch this.Lang {
+		case utils.EnLangVersion:
+			cond += " AND chart_name_en = ? AND source = ? "
+		default:
+			cond += " AND chart_name = ? AND source = ? "
+		}
+		pars = append(pars, req.ChartName, chartSource)
+		count, e := data_manage.GetChartInfoCountByCondition(cond, pars)
+		if e != nil {
+			br.Msg = "保存失败"
+			br.ErrMsg = fmt.Sprintf("获取同名图表失败, Err: %v", e)
+			return
+		}
+		if count > 0 {
+			br.Msg = "图表名称已存在, 请重新填写"
+			return
+		}
+
+		_, e = data_manage.GetChartClassifyById(req.ChartClassifyId)
+		if e != nil {
+			if e.Error() == utils.ErrNoRow() {
+				br.Msg = "分类不存在"
+				return
+			}
+			br.Msg = "保存失败"
+			br.ErrMsg = fmt.Sprintf("获取图表分类失败, Err: %v", e)
+			return
+		}
 	}
 
-	// 获取原图表信息
-	oldChartInfo, err := data_manage.GetChartInfoById(req.ChartInfoId)
-	if err != nil {
-		br.Msg = "获取原图表信息失败"
-		br.ErrMsg = "获取原图表信息失败,Err:" + err.Error()
+	// 图表信息
+	originChart, e := data_manage.GetChartInfoById(req.ChartInfoId)
+	if e != nil {
+		if e.Error() == utils.ErrNoRow() {
+			br.Msg = "原图表不存在"
+			return
+		}
+		br.Msg = "保存失败"
+		br.ErrMsg = fmt.Sprintf("获取原图表信息失败, Err: %v", e)
 		return
 	}
-	if oldChartInfo.Source == utils.CHART_SOURCE_ROLLING_CORRELATION {
+	if originChart.Source == utils.CHART_SOURCE_ROLLING_CORRELATION {
 		br.Msg = `滚动相关性图不支持另存为`
 		br.IsSendEmail = false
 		return
 	}
 
-	multipleGraphConfigChartMapping, err := data_manage.GetMultipleGraphConfigChartMappingByChartId(req.ChartInfoId)
-	if err != nil && err.Error() != utils.ErrNoRow() {
-		br.Msg = `保存失败`
-		br.ErrMsg = "获取配置与图表的关联关系失败，ERR:" + err.Error()
+	// 相关性图
+	originCorrelate := new(data_manage.ChartInfoCorrelation)
+	if e = originCorrelate.GetItemById(req.ChartInfoId); e != nil {
+		if e.Error() == utils.ErrNoRow() {
+			br.Msg = "原相关性图表不存在"
+			return
+		}
+		br.Msg = "保存失败"
+		br.ErrMsg = fmt.Sprintf("获取原相关性图表信息失败, Err: %v", e)
 		return
 	}
 
-	correlationChart := new(data_manage.ChartInfoCorrelation)
-	if e := correlationChart.GetItemById(req.ChartInfoId); e != nil {
-		br.Msg = "另存为失败"
-		br.ErrMsg = "获取原图表相关性信息失败, Err:" + e.Error()
-		return
-	}
-
-	correlationChartInfoReq := data_manage.CorrelationChartInfoReq{
-		LeadValue:          correlationChart.LeadValue,
-		LeadUnit:           correlationChart.LeadUnit,
-		CalculateValue:     correlationChart.CalculateValue,
-		CalculateUnit:      correlationChart.CalculateUnit,
-		BaseCalculateUnit:  correlationChart.BaseCalculateUnit,
-		BaseCalculateValue: correlationChart.BaseCalculateValue,
-		StartDate:          correlationChart.StartDate.Format(utils.FormatDate),
-		EndDate:            correlationChart.EndDate.Format(utils.FormatDate),
-		EdbInfoIdList: []data_manage.CorrelationChartInfoEdbItemReq{
-			{
-				EdbInfoId: correlationChart.EdbInfoIdFirst,
-				Name:      "",
-				NameEn:    "",
-			}, {
-				EdbInfoId: correlationChart.EdbInfoIdSecond,
-				Name:      "",
-				NameEn:    "",
+	// 普通相关性图表
+	chartInfo := new(data_manage.ChartInfo)
+	if originCorrelate.AnalysisMode != 1 {
+		multipleGraphConfigChartMapping, err := data_manage.GetMultipleGraphConfigChartMappingByChartId(req.ChartInfoId)
+		if err != nil && err.Error() != utils.ErrNoRow() {
+			br.Msg = `保存失败`
+			br.ErrMsg = "获取配置与图表的关联关系失败，ERR:" + err.Error()
+			return
+		}
+
+		correlationChartInfoReq := data_manage.CorrelationChartInfoReq{
+			LeadValue:          originCorrelate.LeadValue,
+			LeadUnit:           originCorrelate.LeadUnit,
+			CalculateValue:     originCorrelate.CalculateValue,
+			CalculateUnit:      originCorrelate.CalculateUnit,
+			BaseCalculateUnit:  originCorrelate.BaseCalculateUnit,
+			BaseCalculateValue: originCorrelate.BaseCalculateValue,
+			StartDate:          originCorrelate.StartDate.Format(utils.FormatDate),
+			EndDate:            originCorrelate.EndDate.Format(utils.FormatDate),
+			EdbInfoIdList: []data_manage.CorrelationChartInfoEdbItemReq{
+				{
+					EdbInfoId: originCorrelate.EdbInfoIdFirst,
+					Name:      "",
+					NameEn:    "",
+				}, {
+					EdbInfoId: originCorrelate.EdbInfoIdSecond,
+					Name:      "",
+					NameEn:    "",
+				},
 			},
-		},
+		}
+
+		newChart, err, errMsg, isSendEmail := correlationServ.CopyChartInfo(multipleGraphConfigChartMapping.MultipleGraphConfigId, req.ChartClassifyId, req.ChartName, correlationChartInfoReq, originChart, sysUser, this.Lang)
+		chartInfo = newChart
+
+		if err != nil {
+			br.Msg = "保存失败"
+			if errMsg != `` {
+				br.Msg = errMsg
+			}
+			br.ErrMsg = err.Error()
+			br.IsSendEmail = isSendEmail
+			return
+		}
 	}
 
-	chartInfo, err, errMsg, isSendEmail := correlationServ.CopyChartInfo(multipleGraphConfigChartMapping.MultipleGraphConfigId, req.ChartClassifyId, req.ChartName, correlationChartInfoReq, oldChartInfo, sysUser, this.Lang)
+	// 多因子相关性图表
+	if originCorrelate.AnalysisMode == 1 {
+		chartInfo.ChartName = req.ChartName
+		chartInfo.ChartNameEn = req.ChartName
+		chartInfo.ChartClassifyId = req.ChartClassifyId
+		chartInfo.SysUserId = sysUser.AdminId
+		chartInfo.SysUserRealName = sysUser.RealName
+		chartInfo.CreateTime = time.Now()
+		chartInfo.ModifyTime = time.Now()
+		timestamp := strconv.FormatInt(time.Now().UnixNano(), 10)
+		chartInfo.UniqueCode = utils.MD5(utils.CHART_PREFIX + "_" + timestamp)
+		chartInfo.ChartType = originChart.ChartType
+		chartInfo.Calendar = originChart.Calendar
+		chartInfo.DateType = originChart.DateType
+		chartInfo.StartDate = originChart.StartDate
+		chartInfo.EndDate = originChart.EndDate
+		chartInfo.SeasonStartDate = originChart.StartDate
+		chartInfo.SeasonEndDate = originChart.EndDate
+		chartInfo.Disabled = originChart.Disabled
+		chartInfo.Source = originChart.Source
+		chartInfo.ChartThemeId = originChart.ChartThemeId
+		chartInfo.ExtraConfig = originChart.ExtraConfig
+		chartInfo.SourcesFrom = originChart.SourcesFrom
+		chartInfo.Instructions = originChart.Instructions
+		chartInfo.MarkersLines = originChart.MarkersLines
+		chartInfo.MarkersAreas = originChart.MarkersAreas
+
+		// 相关性图
+		chartCorrelate := new(data_manage.ChartInfoCorrelation)
+		chartCorrelate.LeadValue = originCorrelate.LeadValue
+		chartCorrelate.LeadUnit = originCorrelate.LeadUnit
+		chartCorrelate.CalculateValue = originCorrelate.CalculateValue
+		chartCorrelate.CalculateUnit = originCorrelate.CalculateUnit
+		chartCorrelate.EdbInfoIdFirst = originCorrelate.EdbInfoIdFirst
+		chartCorrelate.AnalysisMode = 1
+		chartCorrelate.CreateTime = time.Now().Local()
+		chartCorrelate.ModifyTime = time.Now().Local()
+
+		// 图表指标关联
+		edbMappings := make([]*data_manage.ChartEdbMapping, 0)
+		{
+			mappings, e := data_manage.GetChartMappingList(req.ChartInfoId)
+			if e != nil {
+				br.Msg = "保存失败"
+				br.ErrMsg = fmt.Sprintf("获取图表指标关联失败, Err: %v", e)
+				return
+			}
+			for _, v := range mappings {
+				m := new(data_manage.ChartEdbMapping)
+				m.EdbInfoId = v.EdbInfoId
+				edbTimestamp := strconv.FormatInt(time.Now().UnixNano(), 10)
+				m.UniqueCode = utils.MD5(utils.CHART_PREFIX + "_" + edbTimestamp + "_" + strconv.Itoa(v.EdbInfoId))
+				m.IsOrder = true
+				m.IsAxis = 1
+				m.EdbInfoType = 1
+				m.Source = utils.CHART_SOURCE_CORRELATION
+				m.CreateTime = time.Now()
+				m.ModifyTime = time.Now()
+				edbMappings = append(edbMappings, m)
+			}
+		}
 
-	if err != nil {
-		br.Msg = "保存失败"
-		if errMsg != `` {
-			br.Msg = errMsg
+		// 指标系列-图表关联
+		seriesIds := make([]int, 0)
+		originChartMappings := make([]*data_manage.FactorEdbSeriesChartMapping, 0)
+		{
+			ob := new(data_manage.FactorEdbSeriesChartMapping)
+			cond := fmt.Sprintf(" AND %s = ?", ob.Cols().ChartInfoId)
+			pars := make([]interface{}, 0)
+			pars = append(pars, req.ChartInfoId)
+			list, e := ob.GetItemsByCondition(cond, pars, []string{}, "")
+			if e != nil {
+				br.Msg = "保存失败"
+				br.ErrMsg = fmt.Sprintf("获取指标系列-图表关联失败, Err: %v", e)
+				return
+			}
+			for _, v := range list {
+				//seriesMappings = append(seriesMappings, &data_manage.FactorEdbSeriesChartMapping{
+				//	FactorEdbSeriesId: v.FactorEdbSeriesId,
+				//	ChartInfoId:       req.ChartInfoId,
+				//	EdbInfoId:         v.EdbInfoId,
+				//	Source:            v.Source,
+				//	CreateTime:        time.Now().Local(),
+				//	ModifyTime:        time.Now().Local(),
+				//})
+				if !utils.InArrayByInt(seriesIds, v.FactorEdbSeriesId) {
+					seriesIds = append(seriesIds, v.FactorEdbSeriesId)
+				}
+			}
+			originChartMappings = list
 		}
-		br.ErrMsg = err.Error()
-		br.IsSendEmail = isSendEmail
-		return
+		if len(seriesIds) == 0 {
+			br.Msg = "保存失败"
+			br.ErrMsg = "源图表系列有误"
+			return
+		}
+
+		// 注意此处要复制一份系列及系列关联指标, 不可共用被复制图表的系列
+		originSeries := make([]*data_manage.FactorEdbSeries, 0)
+		{
+			ob := new(data_manage.FactorEdbSeries)
+			cond := fmt.Sprintf(" AND %s IN (%s)", ob.Cols().PrimaryId, utils.GetOrmInReplace(len(seriesIds)))
+			pars := make([]interface{}, 0)
+			pars = append(pars, seriesIds)
+			list, e := ob.GetItemsByCondition(cond, pars, []string{}, "")
+			if e != nil {
+				br.Msg = "保存失败"
+				br.ErrMsg = fmt.Sprintf("获取源图表系列失败, %v", e)
+				return
+			}
+			originSeries = list
+		}
+		originEdbSeriesMapping := make([]*data_manage.FactorEdbSeriesMapping, 0)
+		{
+			ob := new(data_manage.FactorEdbSeriesMapping)
+			cond := fmt.Sprintf(" AND %s IN (%s)", ob.Cols().FactorEdbSeriesId, utils.GetOrmInReplace(len(seriesIds)))
+			pars := make([]interface{}, 0)
+			pars = append(pars, seriesIds)
+			list, e := ob.GetItemsByCondition(cond, pars, []string{}, "")
+			if e != nil {
+				br.Msg = "保存失败"
+				br.ErrMsg = fmt.Sprintf("获取源图表系列指标失败, %v", e)
+				return
+			}
+			originEdbSeriesMapping = list
+		}
+
+		seriesData := make([]*data_manage.FactorEdbSeriesCalculateData, 0)
+		{
+			dataOb := new(data_manage.FactorEdbSeriesCalculateData)
+			cond := fmt.Sprintf(" AND %s IN (%s)", dataOb.Cols().FactorEdbSeriesId, utils.GetOrmInReplace(len(seriesIds)))
+			pars := make([]interface{}, 0)
+			pars = append(pars, seriesIds)
+			list, e := dataOb.GetItemsByCondition(cond, pars, []string{}, "")
+			if e != nil {
+				br.Msg = "保存失败"
+				br.ErrMsg = fmt.Sprintf("获取系列计算数据失败, %v", e)
+				return
+			}
+			seriesData = list
+		}
+
+		// 新增图表/相关性图表/图表指标关联/指标系列图表关联
+		chartInfoId, seriesIdMap, e := data_manage.CreateMultiFactorCorrelationChartAndEdb(chartInfo, edbMappings, chartCorrelate, originChartMappings, true, originSeries, originEdbSeriesMapping, seriesData)
+		if e != nil {
+			br.Msg = "保存失败"
+			br.ErrMsg = fmt.Sprintf("新增多因子相关性图表失败, Err: %v", e)
+			return
+		}
+
+		// 如果原图表有设置图例-那么替换图例设置中的系列ID
+		if originChart.ExtraConfig != "" {
+			conf := new(data_manage.CorrelationChartInfoExtraConfig)
+			e = json.Unmarshal([]byte(originChart.ExtraConfig), &conf)
+			if e != nil {
+				br.Msg = "保存失败"
+				br.ErrMsg = fmt.Sprintf("解析图表额外配置失败, Err: %v", e)
+				return
+			}
+			for _, v := range conf.LegendConfig {
+				v.SeriesId = seriesIdMap[v.SeriesId]
+			}
+			b, e := json.Marshal(conf)
+			if e != nil {
+				br.Msg = "保存失败"
+				br.ErrMsg = fmt.Sprintf("图表来源JSON格式化失败, Err: %v", e)
+				return
+			}
+			chartInfo.ExtraConfig = string(b)
+			if e = chartInfo.Update([]string{"ExtraConfig"}); e != nil {
+				br.Msg = "保存失败"
+				br.ErrMsg = fmt.Sprintf("更新图例信息失败, %v", e)
+				return
+			}
+		}
+
+		go data.EsAddOrEditChartInfo(chartInfoId)
 	}
 
-	//新增操作日志
+	// 新增操作日志
 	{
 		chartLog := new(data_manage.ChartInfoLog)
 		chartLog.ChartInfoId = chartInfo.ChartInfoId
@@ -1312,50 +1608,74 @@ func GetChartInfoDetailFromUniqueCode(chartInfo *data_manage.ChartInfoView, isCa
 		errMsg = "获取相关性图表, A指标mapping信息失败, Err:" + e.Error()
 		return
 	}
-	edbInfoMappingB, e := data_manage.GetChartEdbMappingByEdbInfoId(correlationChart.EdbInfoIdSecond)
-	if e != nil {
-		msg = "获取失败"
-		errMsg = "获取相关性图表, B指标mapping信息失败, Err:" + e.Error()
-		return
+	edbInfoMappingB := new(data_manage.ChartEdbInfoMapping)
+	// 非多因子
+	if correlationChart.AnalysisMode != 1 {
+		edbInfoMappingB, e = data_manage.GetChartEdbMappingByEdbInfoId(correlationChart.EdbInfoIdSecond)
+		if e != nil {
+			msg = "获取失败"
+			errMsg = "获取相关性图表, B指标mapping信息失败, Err:" + e.Error()
+			return
+		}
 	}
 
 	var dataResp interface{} // 绘图数据返回（目前是滚动相关性的图）
 	var xEdbIdValue []int
 	var yDataList []data_manage.YData
-	switch chartInfo.Source {
-	case utils.CHART_SOURCE_CORRELATION: // 相关性图
-		moveUnitDays, ok := utils.FrequencyDaysMap[correlationChart.CalculateUnit]
-		if !ok {
-			msg = "错误的分析周期"
-			errMsg = "相关性图表数据有误"
-			return
-		}
-		startDate := time.Now().AddDate(0, 0, -correlationChart.CalculateValue*moveUnitDays).Format(utils.FormatDate)
-		endDate := time.Now().Format(utils.FormatDate)
+	if correlationChart.AnalysisMode != 1 {
+		switch chartInfo.Source {
+		case utils.CHART_SOURCE_CORRELATION: // 相关性图
+			moveUnitDays, ok := utils.FrequencyDaysMap[correlationChart.CalculateUnit]
+			if !ok {
+				msg = "错误的分析周期"
+				errMsg = "相关性图表数据有误"
+				return
+			}
+			startDate := time.Now().AddDate(0, 0, -correlationChart.CalculateValue*moveUnitDays).Format(utils.FormatDate)
+			endDate := time.Now().Format(utils.FormatDate)
+
+			xEdbIdValue, yDataList, e = correlationServ.GetChartDataByEdbInfo(edbInfoMappingA, edbInfoMappingB, correlationChart.LeadValue, correlationChart.LeadUnit, startDate, endDate, chartInfo.ExtraConfig)
+			if e != nil {
+				msg = "获取失败"
+				errMsg = "获取相关性图表, 图表计算值失败, Err:" + e.Error()
+				return
+			}
+		case utils.CHART_SOURCE_ROLLING_CORRELATION: // 滚动相关性图
+			startDate, endDate := utils.GetDateByDateType(correlationChart.DateType, correlationChart.StartDate.Format(utils.FormatDate), correlationChart.EndDate.Format(utils.FormatDate))
 
-		xEdbIdValue, yDataList, e = correlationServ.GetChartDataByEdbInfo(edbInfoMappingA, edbInfoMappingB, correlationChart.LeadValue, correlationChart.LeadUnit, startDate, endDate)
+			dataResp, e = correlationServ.GetRollingCorrelationChartDataByEdbInfo(edbInfoMappingA, edbInfoMappingB, correlationChart.LeadValue, correlationChart.LeadUnit, correlationChart.CalculateValue, correlationChart.CalculateUnit, startDate, endDate, chartInfo.ChartName, chartInfo.ChartNameEn)
+			if e != nil {
+				msg = "获取失败"
+				errMsg = "获取滚动相关性图表, 图表计算值失败, Err:" + e.Error()
+				return
+			}
+		}
+	} else {
+		xEdbIdValue, yDataList, e = correlationServ.GetFactorChartDataByChartId(chartInfoId, chartInfo.ExtraConfig)
 		if e != nil {
 			msg = "获取失败"
 			errMsg = "获取相关性图表, 图表计算值失败, Err:" + e.Error()
 			return
 		}
-	case utils.CHART_SOURCE_ROLLING_CORRELATION: // 滚动相关性图
-		startDate, endDate := utils.GetDateByDateType(correlationChart.DateType, correlationChart.StartDate.Format(utils.FormatDate), correlationChart.EndDate.Format(utils.FormatDate))
+	}
 
-		dataResp, e = correlationServ.GetRollingCorrelationChartDataByEdbInfo(edbInfoMappingA, edbInfoMappingB, correlationChart.LeadValue, correlationChart.LeadUnit, correlationChart.CalculateValue, correlationChart.CalculateUnit, startDate, endDate, chartInfo.ChartName, chartInfo.ChartNameEn)
+	// 完善指标信息
+	edbList := make([]*data_manage.ChartEdbInfoMapping, 0)
+	if correlationChart.AnalysisMode != 1 {
+		edbList, e = correlationServ.GetChartEdbInfoFormat(chartInfo.ChartInfoId, edbInfoMappingA, edbInfoMappingB)
 		if e != nil {
 			msg = "获取失败"
-			errMsg = "获取滚动相关性图表, 图表计算值失败, Err:" + e.Error()
+			errMsg = "获取相关性图表, 完善指标信息失败, Err:" + e.Error()
+			return
+		}
+	} else {
+		// 多因子指标, 获取图表引用到的系列指标(去重后)
+		edbList, e = data_manage.GetChartEdbMappingListByIdList([]int{chartInfoId})
+		if e != nil {
+			msg = "获取失败"
+			errMsg = "获取图表引用系列指标失败, Err:" + e.Error()
 			return
 		}
-	}
-
-	// 完善指标信息
-	edbList, e := correlationServ.GetChartEdbInfoFormat(chartInfo.ChartInfoId, edbInfoMappingA, edbInfoMappingB)
-	if e != nil {
-		msg = "获取失败"
-		errMsg = "获取相关性图表, 完善指标信息失败, Err:" + e.Error()
-		return
 	}
 	correlationInfo := new(data_manage.CorrelationInfo)
 	correlationInfo.LeadValue = correlationChart.LeadValue
@@ -1367,6 +1687,7 @@ func GetChartInfoDetailFromUniqueCode(chartInfo *data_manage.ChartInfoView, isCa
 	correlationInfo.LeadValue = correlationChart.LeadValue
 	correlationInfo.EdbInfoIdFirst = correlationChart.EdbInfoIdFirst
 	correlationInfo.EdbInfoIdSecond = correlationChart.EdbInfoIdSecond
+	correlationInfo.AnalysisMode = correlationChart.AnalysisMode
 
 	if chartInfoId > 0 && chartInfo != nil {
 		//判断是否加入我的图库
@@ -1823,3 +2144,922 @@ func (this *CorrelationChartInfoController) BaseInfoEdit() {
 	br.Msg = "编辑成功"
 	br.IsAddLog = true
 }
+
+// MultiFactorAdd
+// @Title 多因子图表-新增
+// @Description 多因子图表-新增
+// @Param	request	body request.CorrelationChartMultiFactorSaveReq true "type json string"
+// @Success Ret=200 返回图表id
+// @router /chart_info/multi_factor/add [post]
+func (this *CorrelationChartInfoController) MultiFactorAdd() {
+	br := new(models.BaseResponse).Init()
+	defer func() {
+		if br.ErrMsg == "" {
+			br.IsSendEmail = false
+		}
+		this.Data["json"] = br
+		this.ServeJSON()
+	}()
+	sysUser := this.SysUser
+	if sysUser == nil {
+		br.Msg = "请登录"
+		br.ErrMsg = "请登录，SysUser Is Empty"
+		br.Ret = 408
+		return
+	}
+
+	var req request.CorrelationChartMultiFactorSaveReq
+	if e := json.Unmarshal(this.Ctx.Input.RequestBody, &req); e != nil {
+		br.Msg = "参数解析异常！"
+		br.ErrMsg = fmt.Sprintf("参数解析失败, Err: %v", e)
+		return
+	}
+	// 此方法只加多因子图表
+	if req.AnalysisMode != 1 {
+		br.Msg = "分析模式有误"
+		br.ErrMsg = fmt.Sprintf("分析模式有误, Mode: %d", req.AnalysisMode)
+		return
+	}
+	if req.BaseEdbInfoId <= 0 {
+		br.Msg = "请选择标的指标"
+		return
+	}
+	if len(req.FactorCorrelation.SeriesIds) == 0 {
+		br.Msg = "请选择因子指标系列"
+		return
+	}
+	if len(req.FactorCorrelation.SeriesEdb) == 0 {
+		br.Msg = "请选择因子指标"
+		return
+	}
+	if req.FactorCorrelation.LeadValue <= 0 {
+		br.Msg = "分析周期不允许设置为负数或0"
+		return
+	}
+	if req.FactorCorrelation.LeadUnit == "" {
+		br.Msg = "请选择分析周期频度"
+		return
+	}
+	leadUnitDays, ok := utils.FrequencyDaysMap[req.FactorCorrelation.LeadUnit]
+	if !ok {
+		br.Msg = "错误的分析周期频度"
+		br.ErrMsg = fmt.Sprintf("分析周期频度有误: %s", req.FactorCorrelation.LeadUnit)
+		return
+	}
+	if req.FactorCorrelation.CalculateUnit == "" {
+		br.Msg = "请选择计算窗口频度"
+		return
+	}
+	calculateUnitDays, ok := utils.FrequencyDaysMap[req.FactorCorrelation.CalculateUnit]
+	if !ok {
+		br.Msg = "错误的计算窗口频度"
+		br.ErrMsg = fmt.Sprintf("计算窗口频度有误: %s", req.FactorCorrelation.CalculateUnit)
+		return
+	}
+	leadDays := 2 * req.FactorCorrelation.LeadValue * leadUnitDays
+	calculateDays := req.FactorCorrelation.CalculateValue * calculateUnitDays
+	if calculateDays < leadDays {
+		br.Msg = "计算窗口必须≥2*分析周期"
+		return
+	}
+	req.ChartName = strings.TrimSpace(req.ChartName)
+	if req.ChartName == "" {
+		br.Msg = "请输入图表名称"
+		return
+	}
+	if req.ClassifyId <= 0 {
+		br.Msg = "请选择图表分类"
+		return
+	}
+
+	cacheKey := "CACHE_CORRELATION_CHART_INFO_ADD_" + strconv.Itoa(sysUser.AdminId)
+	if !utils.Rc.SetNX(cacheKey, 1, 30*time.Second) {
+		br.Msg = "系统处理中, 请稍后重试"
+		return
+	}
+	defer func() {
+		_ = utils.Rc.Delete(cacheKey)
+	}()
+
+	chartType := 9
+	chartSource := utils.CHART_SOURCE_CORRELATION
+	startDate := time.Now().AddDate(0, 0, -calculateDays).Format(utils.FormatDate)
+	endDate := time.Now().Format(utils.FormatDate)
+	mappingEdbIds := make([]int, 0) // 该图表关联的指标(去除系列中重复指标之后的)
+	{
+		exists := make(map[int]bool)
+		for _, v := range req.FactorCorrelation.SeriesEdb {
+			if !exists[v.EdbInfoId] {
+				mappingEdbIds = append(mappingEdbIds, v.EdbInfoId)
+			}
+		}
+	}
+
+	// 校验分类、图表名称
+	{
+		var cond string
+		var pars []interface{}
+		switch this.Lang {
+		case utils.EnLangVersion:
+			cond += " AND chart_name_en = ? AND source = ? "
+		default:
+			cond += " AND chart_name = ? AND source = ? "
+		}
+		pars = append(pars, req.ChartName, chartSource)
+		count, e := data_manage.GetChartInfoCountByCondition(cond, pars)
+		if e != nil {
+			br.Msg = "保存失败"
+			br.ErrMsg = fmt.Sprintf("获取同名图表失败, Err: %v", e)
+			return
+		}
+		if count > 0 {
+			br.Msg = "图表名称已存在, 请重新填写"
+			return
+		}
+
+		_, e = data_manage.GetChartClassifyById(req.ClassifyId)
+		if e != nil {
+			if e.Error() == utils.ErrNoRow() {
+				br.Msg = "分类不存在"
+				return
+			}
+			br.Msg = "保存失败"
+			br.ErrMsg = fmt.Sprintf("获取图表分类失败, Err: %v", e)
+			return
+		}
+	}
+
+	// 图表来源、图例设置
+	var sourceFrom, extraConfig string
+	if req.SourcesFrom != nil {
+		b, e := json.Marshal(req.SourcesFrom)
+		if e != nil {
+			br.Msg = "保存失败"
+			br.ErrMsg = fmt.Sprintf("图表来源JSON格式化失败, Err: %v", e)
+			return
+		}
+		sourceFrom = string(b)
+	}
+	if req.ExtraConfig != nil {
+		b, e := json.Marshal(req.ExtraConfig)
+		if e != nil {
+			br.Msg = "保存失败"
+			br.ErrMsg = fmt.Sprintf("图表来源JSON格式化失败, Err: %v", e)
+			return
+		}
+		extraConfig = string(b)
+	}
+
+	// 图表信息
+	chartInfo := new(data_manage.ChartInfo)
+	chartInfo.ChartName = req.ChartName
+	chartInfo.ChartNameEn = req.ChartName
+	chartInfo.ChartClassifyId = req.ClassifyId
+	chartInfo.SysUserId = sysUser.AdminId
+	chartInfo.SysUserRealName = sysUser.RealName
+	chartInfo.CreateTime = time.Now()
+	chartInfo.ModifyTime = time.Now()
+	chartInfo.IsSetName = 0
+	timestamp := strconv.FormatInt(time.Now().UnixNano(), 10)
+	chartInfo.UniqueCode = utils.MD5(utils.CHART_PREFIX + "_" + timestamp)
+	chartInfo.ChartType = chartType
+	chartInfo.Calendar = "公历"
+	chartInfo.DateType = 6
+	chartInfo.StartDate = startDate
+	chartInfo.EndDate = endDate
+	chartInfo.SeasonStartDate = startDate
+	chartInfo.SeasonEndDate = endDate
+	chartInfo.Disabled = data.CheckIsDisableChart(mappingEdbIds)
+	chartInfo.Source = chartSource
+	chartInfo.ExtraConfig = extraConfig
+	chartInfo.SourcesFrom = sourceFrom
+
+	// 相关性图
+	chartCorrelate := new(data_manage.ChartInfoCorrelation)
+	chartCorrelate.LeadValue = req.FactorCorrelation.LeadValue
+	chartCorrelate.LeadUnit = req.FactorCorrelation.LeadUnit
+	chartCorrelate.CalculateValue = req.FactorCorrelation.CalculateValue
+	chartCorrelate.CalculateUnit = req.FactorCorrelation.CalculateUnit
+	chartCorrelate.EdbInfoIdFirst = req.BaseEdbInfoId
+	chartCorrelate.AnalysisMode = 1
+	chartCorrelate.CreateTime = time.Now().Local()
+	chartCorrelate.ModifyTime = time.Now().Local()
+
+	// 图表指标关联
+	edbMappings := make([]*data_manage.ChartEdbMapping, 0)
+	for _, v := range mappingEdbIds {
+		m := new(data_manage.ChartEdbMapping)
+		m.EdbInfoId = v
+		m.CreateTime = time.Now()
+		m.ModifyTime = time.Now()
+		edbTimestamp := strconv.FormatInt(time.Now().UnixNano(), 10)
+		m.UniqueCode = utils.MD5(utils.CHART_PREFIX + "_" + edbTimestamp + "_" + strconv.Itoa(v))
+		m.IsOrder = true
+		m.IsAxis = 1
+		m.EdbInfoType = 1
+		m.Source = utils.CHART_SOURCE_CORRELATION
+		edbMappings = append(edbMappings, m)
+	}
+
+	// 标记引用的指标
+	seriesIds := req.FactorCorrelation.SeriesIds
+	edbUsed := make(map[string]bool)
+	for _, v := range req.FactorCorrelation.SeriesEdb {
+		k := fmt.Sprintf("%d-%d", v.SeriesId, v.EdbInfoId)
+		edbUsed[k] = true
+	}
+
+	// TODO:图表关联-生成相关性矩阵
+	var calculatePars data_manage.CalculateCorrelationMatrixPars
+	calculatePars.BaseEdbInfoId = req.BaseEdbInfoId
+	calculatePars.SeriesIds = req.FactorCorrelation.SeriesIds
+	var correlationConf data_manage.CorrelationConfig
+	correlationConf.LeadUnit = req.FactorCorrelation.LeadUnit
+	correlationConf.LeadValue = req.FactorCorrelation.LeadValue
+	correlationConf.CalculateUnit = req.FactorCorrelation.CalculateUnit
+	correlationConf.CalculateValue = req.FactorCorrelation.CalculateValue
+	calculatePars.Correlation = correlationConf
+	_, chartMappings, e := correlationServ.CalculateCorrelationMatrix(calculatePars)
+	if e != nil {
+		br.Msg = "计算矩阵失败"
+		br.ErrMsg = fmt.Sprintf("计算相关性矩阵失败, %v", e)
+		return
+	}
+
+	// 指标系列-图表关联
+	//chartMappings := make([]*data_manage.FactorEdbSeriesChartMapping, 0)
+	//{
+	//	ob := new(data_manage.FactorEdbSeriesChartMapping)
+	//	cond := fmt.Sprintf(" AND %s IN (%s)", ob.Cols().FactorEdbSeriesId, utils.GetOrmInReplace(len(seriesIds)))
+	//	pars := make([]interface{}, 0)
+	//	pars = append(pars, seriesIds)
+	//	items, e := ob.GetItemsByCondition(cond, pars, []string{}, "")
+	//	if e != nil {
+	//		br.Msg = "保存失败"
+	//		br.ErrMsg = fmt.Sprintf("获取指标系列图表关联失败, Err: %v", e)
+	//		return
+	//	}
+	//	chartMappings = items
+	//}
+
+	for _, v := range chartMappings {
+		v.Source = chartSource
+		k := fmt.Sprintf("%d-%d", v.FactorEdbSeriesId, v.EdbInfoId)
+		//v.EdbUsed = 0 // 先重置一下
+		if edbUsed[k] {
+			v.EdbUsed = 1
+		}
+		v.ModifyTime = time.Now().Local()
+	}
+
+	// 另存为
+	originSeries := make([]*data_manage.FactorEdbSeries, 0)
+	originEdbSeriesMapping := make([]*data_manage.FactorEdbSeriesMapping, 0)
+	seriesData := make([]*data_manage.FactorEdbSeriesCalculateData, 0)
+	if req.SaveAs {
+		// 注意此处要复制一份系列及系列关联指标, 不可共用被复制图表的系列
+		{
+			ob := new(data_manage.FactorEdbSeries)
+			cond := fmt.Sprintf(" AND %s IN (%s)", ob.Cols().PrimaryId, utils.GetOrmInReplace(len(seriesIds)))
+			pars := make([]interface{}, 0)
+			pars = append(pars, seriesIds)
+			list, e := ob.GetItemsByCondition(cond, pars, []string{}, "")
+			if e != nil {
+				br.Msg = "保存失败"
+				br.ErrMsg = fmt.Sprintf("获取源图表系列失败, %v", e)
+				return
+			}
+			originSeries = list
+		}
+		{
+			ob := new(data_manage.FactorEdbSeriesMapping)
+			cond := fmt.Sprintf(" AND %s IN (%s)", ob.Cols().FactorEdbSeriesId, utils.GetOrmInReplace(len(seriesIds)))
+			pars := make([]interface{}, 0)
+			pars = append(pars, seriesIds)
+			list, e := ob.GetItemsByCondition(cond, pars, []string{}, "")
+			if e != nil {
+				br.Msg = "保存失败"
+				br.ErrMsg = fmt.Sprintf("获取源图表系列指标失败, %v", e)
+				return
+			}
+			originEdbSeriesMapping = list
+		}
+		{
+			dataOb := new(data_manage.FactorEdbSeriesCalculateData)
+			cond := fmt.Sprintf(" AND %s IN (%s)", dataOb.Cols().FactorEdbSeriesId, utils.GetOrmInReplace(len(seriesIds)))
+			pars := make([]interface{}, 0)
+			pars = append(pars, seriesIds)
+			list, e := dataOb.GetItemsByCondition(cond, pars, []string{}, "")
+			if e != nil {
+				br.Msg = "保存失败"
+				br.ErrMsg = fmt.Sprintf("获取系列计算数据失败, %v", e)
+				return
+			}
+			seriesData = list
+		}
+	}
+
+	// 新增图表/相关性图表/图表指标关联/指标系列图表关联
+	chartInfoId, seriesIdMap, e := data_manage.CreateMultiFactorCorrelationChartAndEdb(chartInfo, edbMappings, chartCorrelate, chartMappings, req.SaveAs, originSeries, originEdbSeriesMapping, seriesData)
+	if e != nil {
+		br.Msg = "保存失败"
+		br.ErrMsg = fmt.Sprintf("新增多因子相关性图表失败, Err: %v", e)
+		return
+	}
+
+	// 另存为-替换图例设置中的系列ID
+	if req.SaveAs {
+		if req.ExtraConfig != nil {
+			for _, v := range req.ExtraConfig.LegendConfig {
+				v.SeriesId = seriesIdMap[v.SeriesId]
+			}
+			b, e := json.Marshal(req.ExtraConfig)
+			if e != nil {
+				br.Msg = "保存失败"
+				br.ErrMsg = fmt.Sprintf("图表来源JSON格式化失败, Err: %v", e)
+				return
+			}
+			chartInfo.ExtraConfig = string(b)
+			if e = chartInfo.Update([]string{"ExtraConfig"}); e != nil {
+				br.Msg = "保存失败"
+				br.ErrMsg = fmt.Sprintf("更新图例信息失败, %v", e)
+				return
+			}
+		}
+	}
+
+	go data.EsAddOrEditChartInfo(chartInfoId)
+
+	// 操作日志
+	{
+		chartLog := new(data_manage.ChartInfoLog)
+		chartLog.ChartInfoId = chartInfo.ChartInfoId
+		chartLog.ChartName = req.ChartName
+		chartLog.ChartClassifyId = req.ClassifyId
+		chartLog.SysUserId = sysUser.AdminId
+		chartLog.SysUserRealName = sysUser.RealName
+		chartLog.UniqueCode = chartInfo.UniqueCode
+		chartLog.CreateTime = time.Now()
+		chartLog.Content = string(this.Ctx.Input.RequestBody)
+		chartLog.Status = "新增多因子相关性图表"
+		chartLog.Method = this.Ctx.Input.URI()
+		go data_manage.AddChartInfoLog(chartLog)
+	}
+
+	resp := new(data_manage.AddChartInfoResp)
+	resp.ChartInfoId = chartInfo.ChartInfoId
+	resp.UniqueCode = chartInfo.UniqueCode
+	resp.ChartType = chartInfo.ChartType
+	resp.ClassifyId = req.ClassifyId
+
+	br.Data = resp
+	br.Ret = 200
+	br.Success = true
+	br.Msg = "保存成功"
+	br.IsAddLog = true
+}
+
+// MultiFactorEdit
+// @Title 多因子图表-编辑
+// @Description 多因子图表-编辑
+// @Param	request	body request.CorrelationChartMultiFactorSaveReq true "type json string"
+// @Success Ret=200 返回图表id
+// @router /chart_info/multi_factor/edit [post]
+func (this *CorrelationChartInfoController) MultiFactorEdit() {
+	br := new(models.BaseResponse).Init()
+	defer func() {
+		if br.ErrMsg == "" {
+			br.IsSendEmail = false
+		}
+		this.Data["json"] = br
+		this.ServeJSON()
+	}()
+	sysUser := this.SysUser
+	if sysUser == nil {
+		br.Msg = "请登录"
+		br.ErrMsg = "请登录，SysUser Is Empty"
+		br.Ret = 408
+		return
+	}
+
+	var req request.CorrelationChartMultiFactorSaveReq
+	if e := json.Unmarshal(this.Ctx.Input.RequestBody, &req); e != nil {
+		br.Msg = "参数解析异常！"
+		br.ErrMsg = fmt.Sprintf("参数解析失败, Err: %v", e)
+		return
+	}
+	if req.ChartInfoId <= 0 {
+		br.Msg = "参数有误"
+		br.ErrMsg = fmt.Sprintf("参数有误, ChartInfoId: %d", req.ChartInfoId)
+		return
+	}
+	// 此方法只加多因子图表
+	if req.AnalysisMode != 1 {
+		br.Msg = "分析模式有误"
+		br.ErrMsg = fmt.Sprintf("分析模式有误, Mode: %d", req.AnalysisMode)
+		return
+	}
+	if req.BaseEdbInfoId <= 0 {
+		br.Msg = "请选择标的指标"
+		return
+	}
+	if len(req.FactorCorrelation.SeriesIds) == 0 {
+		br.Msg = "请选择因子指标系列"
+		return
+	}
+	if len(req.FactorCorrelation.SeriesEdb) == 0 {
+		br.Msg = "请选择因子指标"
+		return
+	}
+	if req.FactorCorrelation.LeadValue <= 0 {
+		br.Msg = "分析周期不允许设置为负数或0"
+		return
+	}
+	if req.FactorCorrelation.LeadUnit == "" {
+		br.Msg = "请选择分析周期频度"
+		return
+	}
+	leadUnitDays, ok := utils.FrequencyDaysMap[req.FactorCorrelation.LeadUnit]
+	if !ok {
+		br.Msg = "错误的分析周期频度"
+		br.ErrMsg = fmt.Sprintf("分析周期频度有误: %s", req.FactorCorrelation.LeadUnit)
+		return
+	}
+	if req.FactorCorrelation.CalculateUnit == "" {
+		br.Msg = "请选择计算窗口频度"
+		return
+	}
+	calculateUnitDays, ok := utils.FrequencyDaysMap[req.FactorCorrelation.CalculateUnit]
+	if !ok {
+		br.Msg = "错误的计算窗口频度"
+		br.ErrMsg = fmt.Sprintf("计算窗口频度有误: %s", req.FactorCorrelation.CalculateUnit)
+		return
+	}
+	leadDays := 2 * req.FactorCorrelation.LeadValue * leadUnitDays
+	calculateDays := req.FactorCorrelation.CalculateValue * calculateUnitDays
+	if calculateDays < leadDays {
+		br.Msg = "计算窗口必须≥2*分析周期"
+		return
+	}
+	req.ChartName = strings.TrimSpace(req.ChartName)
+	if req.ChartName == "" {
+		br.Msg = "请输入图表名称"
+		return
+	}
+	if req.ClassifyId <= 0 {
+		br.Msg = "请选择图表分类"
+		return
+	}
+
+	cacheKey := "CACHE_CORRELATION_CHART_INFO_EDIT_" + strconv.Itoa(sysUser.AdminId)
+	if !utils.Rc.SetNX(cacheKey, 1, 30*time.Second) {
+		br.Msg = "系统处理中, 请稍后重试"
+		return
+	}
+	defer func() {
+		_ = utils.Rc.Delete(cacheKey)
+	}()
+
+	chartSource := utils.CHART_SOURCE_CORRELATION
+	startDate := time.Now().AddDate(0, 0, -calculateDays).Format(utils.FormatDate)
+	endDate := time.Now().Format(utils.FormatDate)
+	mappingEdbIds := make([]int, 0) // 该图表关联的指标(去除系列中重复指标之后的)
+	{
+		exists := make(map[int]bool)
+		for _, v := range req.FactorCorrelation.SeriesEdb {
+			if !exists[v.EdbInfoId] {
+				mappingEdbIds = append(mappingEdbIds, v.EdbInfoId)
+			}
+		}
+	}
+
+	chartInfo, e := data_manage.GetChartInfoById(req.ChartInfoId)
+	if e != nil {
+		if e.Error() == utils.ErrNoRow() {
+			br.Msg = "图表已被删除, 请刷新页面"
+			return
+		}
+		br.Msg = "保存失败"
+		br.ErrMsg = fmt.Sprintf("获取图表信息失败, Err: %v", e)
+		return
+	}
+	chartCorrelate := new(data_manage.ChartInfoCorrelation)
+	if e = chartCorrelate.GetItemById(chartInfo.ChartInfoId); e != nil {
+		br.Msg = "图表相关性信息不存在"
+		br.ErrMsg = fmt.Sprintf("获取图表相关性信息失败, Err: %v", e)
+		return
+	}
+
+	// 图表检验
+	{
+		if chartInfo.Source != chartSource {
+			br.Msg = "该图表不是相关性图表"
+			return
+		}
+
+		// 图表操作权限
+		authOk := data.CheckOpChartPermission(sysUser, chartInfo.SysUserId, true)
+		if !authOk {
+			br.Msg = "没有该图表的操作权限"
+			return
+		}
+
+		// 图表名称、分类
+		var cond string
+		var pars []interface{}
+		switch this.Lang {
+		case utils.EnLangVersion:
+			cond += " AND chart_name_en = ? AND source = ? AND chart_info_id <> ? "
+		default:
+			cond += " AND chart_name = ? AND source = ? AND chart_info_id <> ? "
+		}
+		pars = append(pars, req.ChartName, chartSource, chartInfo.ChartInfoId)
+		count, e := data_manage.GetChartInfoCountByCondition(cond, pars)
+		if e != nil {
+			br.Msg = "保存失败"
+			br.ErrMsg = fmt.Sprintf("获取同名图表失败, Err: %v", e)
+			return
+		}
+		if count > 0 {
+			br.Msg = "图表名称已存在, 请重新填写"
+			return
+		}
+
+		_, e = data_manage.GetChartClassifyById(req.ClassifyId)
+		if e != nil {
+			if e.Error() == utils.ErrNoRow() {
+				br.Msg = "分类不存在"
+				return
+			}
+			br.Msg = "保存失败"
+			br.ErrMsg = fmt.Sprintf("获取图表分类失败, Err: %v", e)
+			return
+		}
+	}
+
+	// 图表来源、图例设置
+	var sourceFrom, extraConfig string
+	if req.SourcesFrom != nil {
+		b, e := json.Marshal(req.SourcesFrom)
+		if e != nil {
+			br.Msg = "保存失败"
+			br.ErrMsg = fmt.Sprintf("图表来源JSON格式化失败, Err: %v", e)
+			return
+		}
+		sourceFrom = string(b)
+	}
+	if req.ExtraConfig != nil {
+		b, e := json.Marshal(req.ExtraConfig)
+		if e != nil {
+			br.Msg = "保存失败"
+			br.ErrMsg = fmt.Sprintf("图表来源JSON格式化失败, Err: %v", e)
+			return
+		}
+		extraConfig = string(b)
+	}
+
+	// 图表信息
+	chartInfo.ChartName = req.ChartName
+	chartInfo.ChartNameEn = req.ChartName
+	chartInfo.ChartClassifyId = req.ClassifyId
+	chartInfo.ModifyTime = time.Now()
+	chartInfo.StartDate = startDate
+	chartInfo.EndDate = endDate
+	chartInfo.SeasonStartDate = startDate
+	chartInfo.SeasonEndDate = endDate
+	chartInfo.ExtraConfig = extraConfig
+	chartInfo.SourcesFrom = sourceFrom
+	chartInfo.Disabled = data.CheckIsDisableChart(mappingEdbIds)
+	chartUpdateCols := []string{"ChartName", "ChartNameEn", "ChartClassifyId", "ModifyTime", "StartDate", "EndDate", "SeasonStartDate", "SeasonEndDate", "ExtraConfig", "SourcesFrom", "Disabled"}
+
+	// 相关性图
+	chartCorrelate.LeadValue = req.FactorCorrelation.LeadValue
+	chartCorrelate.LeadUnit = req.FactorCorrelation.LeadUnit
+	chartCorrelate.CalculateValue = req.FactorCorrelation.CalculateValue
+	chartCorrelate.CalculateUnit = req.FactorCorrelation.CalculateUnit
+	chartCorrelate.EdbInfoIdFirst = req.BaseEdbInfoId
+	chartCorrelate.ModifyTime = time.Now().Local()
+	correlateUpdateCols := []string{"LeadValue", "LeadUnit", "CalculateValue", "CalculateUnit", "EdbInfoIdFirst", "ModifyTime"}
+
+	// 图表指标关联
+	edbMappings := make([]*data_manage.ChartEdbMapping, 0)
+	for _, v := range mappingEdbIds {
+		m := new(data_manage.ChartEdbMapping)
+		m.EdbInfoId = v
+		m.CreateTime = time.Now()
+		m.ModifyTime = time.Now()
+		edbTimestamp := strconv.FormatInt(time.Now().UnixNano(), 10)
+		m.UniqueCode = utils.MD5(utils.CHART_PREFIX + "_" + edbTimestamp + "_" + strconv.Itoa(v))
+		m.IsOrder = true
+		m.IsAxis = 1
+		m.EdbInfoType = 1
+		m.Source = utils.CHART_SOURCE_CORRELATION
+		edbMappings = append(edbMappings, m)
+	}
+
+	//seriesIds := req.FactorCorrelation.SeriesIds
+	edbUsed := make(map[string]bool)
+	for _, v := range req.FactorCorrelation.SeriesEdb {
+		k := fmt.Sprintf("%d-%d", v.SeriesId, v.EdbInfoId)
+		edbUsed[k] = true
+	}
+
+	var calculatePars data_manage.CalculateCorrelationMatrixPars
+	calculatePars.BaseEdbInfoId = req.BaseEdbInfoId
+	calculatePars.SeriesIds = req.FactorCorrelation.SeriesIds
+	var correlationConf data_manage.CorrelationConfig
+	correlationConf.LeadUnit = req.FactorCorrelation.LeadUnit
+	correlationConf.LeadValue = req.FactorCorrelation.LeadValue
+	correlationConf.CalculateUnit = req.FactorCorrelation.CalculateUnit
+	correlationConf.CalculateValue = req.FactorCorrelation.CalculateValue
+	calculatePars.Correlation = correlationConf
+	_, chartMappings, e := correlationServ.CalculateCorrelationMatrix(calculatePars)
+	if e != nil {
+		br.Msg = "计算矩阵失败"
+		br.ErrMsg = fmt.Sprintf("计算相关性矩阵失败, %v", e)
+		return
+	}
+
+	// 指标系列-图表关联
+	//chartMappings := make([]*data_manage.FactorEdbSeriesChartMapping, 0)
+	//{
+	//	ob := new(data_manage.FactorEdbSeriesChartMapping)
+	//	cond := fmt.Sprintf(" AND %s IN (%s)", ob.Cols().FactorEdbSeriesId, utils.GetOrmInReplace(len(seriesIds)))
+	//	pars := make([]interface{}, 0)
+	//	pars = append(pars, seriesIds)
+	//	items, e := ob.GetItemsByCondition(cond, pars, []string{}, "")
+	//	if e != nil {
+	//		br.Msg = "保存失败"
+	//		br.ErrMsg = fmt.Sprintf("获取指标系列图表关联失败, Err: %v", e)
+	//		return
+	//	}
+	//	chartMappings = items
+	//}
+	//existChartMappingIds := make([]int, 0) // 之前加的需要删除掉
+	//updateChartMappings := make([]*data_manage.FactorEdbSeriesChartMapping, 0)
+	for _, v := range chartMappings {
+		//if v.ChartInfoId == req.ChartInfoId {
+		//	existChartMappingIds = append(existChartMappingIds, v.FactorEdbSeriesChartMappingId)
+		//	continue
+		//}
+
+		k := fmt.Sprintf("%d-%d", v.FactorEdbSeriesId, v.EdbInfoId)
+		v.EdbUsed = 0
+		if edbUsed[k] {
+			v.EdbUsed = 1
+		}
+		v.ChartInfoId = chartInfo.ChartInfoId
+		v.Source = chartSource
+		v.ModifyTime = time.Now().Local()
+		//updateChartMappings = append(updateChartMappings, v)
+	}
+
+	// 更新图表/相关性图表/图表指标关联/指标系列图表关联
+	e = data_manage.UpdateMultiFactorCorrelationChartAndEdb(chartInfo, edbMappings, chartCorrelate, chartMappings, chartUpdateCols, correlateUpdateCols)
+	if e != nil {
+		br.Msg = "保存失败"
+		br.ErrMsg = fmt.Sprintf("新增多因子相关性图表失败, Err: %v", e)
+		return
+	}
+
+	// ES
+	go func() {
+		data.EsAddOrEditChartInfo(chartInfo.ChartInfoId)
+		data.EsAddOrEditMyChartInfoByChartInfoId(chartInfo.ChartInfoId)
+	}()
+
+	// 操作日志
+	{
+		chartLog := new(data_manage.ChartInfoLog)
+		chartLog.ChartInfoId = chartInfo.ChartInfoId
+		chartLog.ChartName = req.ChartName
+		chartLog.ChartClassifyId = req.ClassifyId
+		chartLog.SysUserId = sysUser.AdminId
+		chartLog.SysUserRealName = sysUser.RealName
+		chartLog.UniqueCode = chartInfo.UniqueCode
+		chartLog.CreateTime = time.Now()
+		chartLog.Content = string(this.Ctx.Input.RequestBody)
+		chartLog.Status = "编辑多因子相关性图表"
+		chartLog.Method = this.Ctx.Input.URI()
+		go data_manage.AddChartInfoLog(chartLog)
+	}
+
+	resp := new(data_manage.AddChartInfoResp)
+	resp.ChartInfoId = chartInfo.ChartInfoId
+	resp.UniqueCode = chartInfo.UniqueCode
+	resp.ChartType = chartInfo.ChartType
+	resp.ClassifyId = req.ClassifyId
+
+	br.Data = resp
+	br.Ret = 200
+	br.Success = true
+	br.Msg = "保存成功"
+	br.IsAddLog = true
+}
+
+// MultiFactorDetail
+// @Title 多因子图表-编辑页详情
+// @Description 多因子图表-编辑页详情
+// @Param   UniqueCode  query  string  true  "图表唯一编码"
+// @Success Ret=200 返回图表id
+// @router /chart_info/multi_factor/detail [get]
+func (this *CorrelationChartInfoController) MultiFactorDetail() {
+	br := new(models.BaseResponse).Init()
+	defer func() {
+		if br.ErrMsg == "" {
+			br.IsSendEmail = false
+		}
+		this.Data["json"] = br
+		this.ServeJSON()
+	}()
+	sysUser := this.SysUser
+	if sysUser == nil {
+		br.Msg = "请登录"
+		br.ErrMsg = "请登录，SysUser Is Empty"
+		br.Ret = 408
+		return
+	}
+	uniqueCode := this.GetString("UniqueCode")
+	if uniqueCode == "" {
+		br.Msg = "参数有误"
+		br.ErrMsg = fmt.Sprintf("参数有误, UniqueCode: %s", uniqueCode)
+		return
+	}
+
+	chartInfo, e := data_manage.GetChartInfoByUniqueCode(uniqueCode)
+	if e != nil {
+		if e.Error() == utils.ErrNoRow() {
+			br.Msg = "图表已被删除, 请刷新页面"
+			return
+		}
+		br.Msg = "获取失败"
+		br.ErrMsg = fmt.Sprintf("获取图表信息失败, Err: %v", e)
+		return
+	}
+	chartCorrelate := new(data_manage.ChartInfoCorrelation)
+	if e = chartCorrelate.GetItemById(chartInfo.ChartInfoId); e != nil {
+		br.Msg = "图表相关性信息不存在"
+		br.ErrMsg = fmt.Sprintf("获取图表相关性信息失败, Err: %v", e)
+		return
+	}
+	if chartCorrelate.AnalysisMode != 1 {
+		br.Msg = "图表分析模式有误"
+		br.ErrMsg = fmt.Sprintf("图表分析模式有误, Err: %v", e)
+		return
+	}
+	if chartCorrelate.EdbInfoIdFirst <= 0 {
+		br.Msg = "标的指标异常"
+		br.ErrMsg = fmt.Sprintf("标的指标ID异常, Err: %v", e)
+		return
+	}
+	resp := new(data_manage.FactorCorrelationEditDetail)
+
+	// 标的指标
+	baseEdbMapping := new(data_manage.ChartEdbInfoMapping)
+	{
+		mappings, e := data_manage.GetChartEdbMappingListByEdbInfoIdList([]int{chartCorrelate.EdbInfoIdFirst})
+		if e != nil {
+			br.Msg = "获取失败"
+			br.ErrMsg = fmt.Sprintf("获取标的指标信息异常, Err: %v", e)
+			return
+		}
+		if len(mappings) > 0 {
+			baseEdbMapping = mappings[0]
+		}
+	}
+
+	// 获取图表系列
+	chartMappings := make([]*data_manage.FactorEdbSeriesChartMapping, 0)
+	{
+		ob := new(data_manage.FactorEdbSeriesChartMapping)
+		cond := fmt.Sprintf(" AND %s = ?", ob.Cols().ChartInfoId)
+		pars := make([]interface{}, 0)
+		pars = append(pars, chartInfo.ChartInfoId)
+		list, e := ob.GetItemsByCondition(cond, pars, []string{}, "")
+		if e != nil {
+			br.Msg = "获取失败"
+			br.ErrMsg = fmt.Sprintf("获取图表关联系列列表失败, Err: %v", e)
+			return
+		}
+		chartMappings = list
+	}
+	if len(chartMappings) == 0 {
+		br.Msg = "因子指标系列异常"
+		br.ErrMsg = fmt.Sprintf("因子指标系列引用异常")
+		return
+	}
+
+	seriesIds := make([]int, 0)
+	seriesIdExist := make(map[int]bool)
+	edbInfoIds := make([]int, 0)
+	for _, v := range chartMappings {
+		if !seriesIdExist[v.FactorEdbSeriesId] {
+			seriesIds = append(seriesIds, v.FactorEdbSeriesId)
+		}
+		edbInfoIds = append(edbInfoIds, v.EdbInfoId)
+	}
+	if len(seriesIds) == 0 {
+		br.Msg = "因子指标系列异常"
+		br.ErrMsg = fmt.Sprintf("因子指标系列引用异常")
+		return
+	}
+
+	// 系列信息
+	seriesDetails := make([]*data_manage.FactorEdbSeriesDetail, 0)
+	{
+		seriesOb := new(data_manage.FactorEdbSeries)
+		cond := fmt.Sprintf(" AND %s IN (%s)", seriesOb.Cols().PrimaryId, utils.GetOrmInReplace(len(seriesIds)))
+		pars := make([]interface{}, 0)
+		pars = append(pars, seriesIds)
+		list, e := seriesOb.GetItemsByCondition(cond, pars, []string{}, fmt.Sprintf("%s ASC", seriesOb.Cols().PrimaryId))
+		if e != nil {
+			br.Msg = "获取失败"
+			br.ErrMsg = fmt.Sprintf("获取关联系列失败, Err: %v", e)
+			return
+		}
+		for _, v := range list {
+			seriesDetails = append(seriesDetails, &data_manage.FactorEdbSeriesDetail{
+				FactorEdbSeriesItem: v.Format2Item(),
+				EdbMappings:         make([]*data_manage.FactorEdbSeriesMappingItem, 0),
+			})
+		}
+	}
+
+	// 相关性配置
+	var correlateConf data_manage.CorrelationConfig
+	correlateConf.LeadUnit = chartCorrelate.LeadUnit
+	correlateConf.LeadValue = chartCorrelate.LeadValue
+	correlateConf.CalculateUnit = chartCorrelate.CalculateUnit
+	correlateConf.CalculateValue = chartCorrelate.CalculateValue
+
+	edbIdItem := make(map[int]*data_manage.EdbInfo)
+	edbItems, e := data_manage.GetEdbInfoByIdList(edbInfoIds)
+	if e != nil {
+		br.Msg = "获取失败"
+		br.ErrMsg = "获取因子指标失败, Err: " + e.Error()
+		return
+	}
+	for _, v := range edbItems {
+		edbIdItem[v.EdbInfoId] = v
+	}
+
+	// 相关性矩阵
+	seriesEdb := make(map[int][]*data_manage.FactorEdbSeriesMappingItem)
+	var matrixItems []data_manage.FactorEdbSeriesCorrelationMatrixItem
+	for _, v := range chartMappings {
+		edbItem := edbIdItem[v.EdbInfoId]
+		if edbItem == nil {
+			continue
+		}
+
+		var item data_manage.FactorEdbSeriesCorrelationMatrixItem
+		item.SeriesId = v.FactorEdbSeriesId
+		item.EdbInfoId = edbItem.EdbInfoId
+		item.EdbCode = edbItem.EdbCode
+		item.EdbName = edbItem.EdbName
+		var values []data_manage.FactorEdbSeriesCorrelationMatrixValues
+		if v.CalculateData != "" {
+			if e = json.Unmarshal([]byte(v.CalculateData), &values); e != nil {
+				br.Msg = "获取失败"
+				br.ErrMsg = fmt.Sprintf("解析因子指标计算结果失败, Err: %v", e)
+				return
+			}
+		}
+		sort.Sort(data_manage.FactorEdbSeriesCorrelationMatrixOrder(values))
+		item.Values = values
+		if v.EdbUsed == 1 {
+			item.Used = true
+		}
+		item.SourceName = edbItem.SourceName
+		matrixItems = append(matrixItems, item)
+
+		// 系列关联的指标详情
+		if seriesEdb[v.FactorEdbSeriesId] == nil {
+			seriesEdb[v.FactorEdbSeriesId] = make([]*data_manage.FactorEdbSeriesMappingItem, 0)
+		}
+		seriesEdb[v.FactorEdbSeriesId] = append(seriesEdb[v.FactorEdbSeriesId], &data_manage.FactorEdbSeriesMappingItem{
+			SeriesId:  v.FactorEdbSeriesId,
+			EdbInfoId: v.EdbInfoId,
+			EdbCode:   edbItem.EdbCode,
+			EdbName:   edbItem.EdbName,
+			EdbNameEn: edbItem.EdbNameEn,
+		})
+	}
+
+	// 系列关联的指标详情
+	for _, v := range seriesDetails {
+		v.EdbMappings = seriesEdb[v.SeriesId]
+	}
+
+	resp.ChartInfoId = chartInfo.ChartInfoId
+	resp.UniqueCode = chartInfo.UniqueCode
+	resp.BaseEdbInfo = baseEdbMapping
+	resp.EdbSeries = seriesDetails
+	resp.CorrelationConfig = correlateConf
+	resp.CorrelationMatrix = matrixItems
+
+	br.Data = resp
+	br.Ret = 200
+	br.Success = true
+	br.Msg = "获取成功"
+}

controllers/data_manage/edb_info_calculate.go

@@ -2117,6 +2117,7 @@ func (this *ChartInfoController) CalculateComputeCorrelation() {
 // @Param   SysUserIds   query   int  true       "创建人"
 // @Param   Keyword   query   string  false       "关键词搜索"
 // @Param   Frequency   query   string  false       "频度"
+// @Param   EdbInfoType  query  int  false  "指标类型: 0-普通指标; 1-预测指标"
 // @Success 200 {object} data_manage.EdbInfoSearchResp
 // @router /edb_info/calculate/multi/choice [get]
 func (this *ChartInfoController) CalculateMultiChoice() {
@@ -2134,13 +2135,28 @@ func (this *ChartInfoController) CalculateMultiChoice() {
 	edbInfoIds := this.GetString("EdbInfoIds")
 	selectAll, _ := this.GetBool("SelectAll")
 	notFrequency := this.GetString("NotFrequency")
+	edbInfoType, _ := this.GetInt("EdbInfoType", 0)
 	var edbIdArr []int
+	var filterEdbIds []int
+	if edbInfoIds != "" {
+		arr := strings.Split(edbInfoIds, ",")
+		for _, v := range arr {
+			t, e := strconv.Atoi(v)
+			if e != nil {
+				br.Msg = "参数有误"
+				br.ErrMsg = fmt.Sprintf("指标ID有误, %s", v)
+				return
+			}
+			filterEdbIds = append(filterEdbIds, t)
+		}
+	}
 
 	if selectAll {
 		// 如果勾了列表全选，那么EdbCode传的就是排除的code
 
-		var condition string
-		var pars []interface{}
+		condition := ` AND edb_info_type = ? `
+		pars := make([]interface{}, 0)
+		pars = append(pars, edbInfoType)
 
 		if classifyIds != "" {
 			classifyIdsArr := strings.Split(classifyIds, ",")
@@ -2175,14 +2191,19 @@ func (this *ChartInfoController) CalculateMultiChoice() {
 				}
 			}
 		}
-		edbList, e := data_manage.GetEdbInfoFilter(condition, pars)
+		edbList, e := data_manage.GetEdbInfoListByCond(condition, pars)
 		if e != nil {
 			br.Msg = "获取指标列表失败"
 			br.ErrMsg = "获取指标列表失败，Err:" + e.Error()
 			return
 		}
 
+		filterLen := len(filterEdbIds)
 		for _, v := range edbList {
+			// 全选-排除传入的指标
+			if filterLen > 0 && utils.InArrayByInt(filterEdbIds, v.EdbInfoId) {
+				continue
+			}
 			edbIdArr = append(edbIdArr, v.EdbInfoId)
 		}
 	} else {
@@ -2263,6 +2284,7 @@ func (this *ChartInfoController) CalculateMultiChoice() {
 				EdbInfoId:     info.EdbInfoId,
 				ClassifyId:    info.ClassifyId,
 				HaveOperaAuth: haveOperaAuth,
+				EdbInfoType:   info.EdbInfoType,
 			}
 			searchItemList = append(searchItemList, searchItem)
 		}
@@ -2283,6 +2305,7 @@ func (this *ChartInfoController) CalculateMultiChoice() {
 // @Param   SysUserIds   query   int  true       "创建人"
 // @Param   Keyword   query   string  false       "关键词搜索"
 // @Param   Frequency   query   string  false       "频度"
+// @Param   EdbInfoType  query  int  false  "指标类型: 0-普通指标; 1-预测指标"
 // @Success 200 {object} data_manage.EdbInfoSearchResp
 // @router /edb_info/calculate/multi/search [get]
 func (this *ChartInfoController) CalculateMultiSearch() {
@@ -2301,6 +2324,7 @@ func (this *ChartInfoController) CalculateMultiSearch() {
 	pageSize, _ := this.GetInt("PageSize")
 	currentIndex, _ := this.GetInt("CurrentIndex")
 	notFrequency := this.GetString("NotFrequency")
+	edbInfoType, _ := this.GetInt("EdbInfoType", 0)
 
 	var startSize int
 	if pageSize <= 0 {
@@ -2313,8 +2337,9 @@ func (this *ChartInfoController) CalculateMultiSearch() {
 
 	var edbIdArr []int
 
-	condition := ` AND edb_info_type = 0 `
-	var pars []interface{}
+	condition := ` AND edb_info_type = ? `
+	pars := make([]interface{}, 0)
+	pars = append(pars, edbInfoType)
 
 	if classifyIds != "" {
 		classifyIdsArr := strings.Split(classifyIds, ",")
@@ -2422,6 +2447,7 @@ func (this *ChartInfoController) CalculateMultiSearch() {
 				EndDate:         info.EndDate,
 				EndValue:        info.EndValue,
 				HaveOperaAuth:   haveOperaAuth,
+				EdbInfoType:     info.EdbInfoType,
 			}
 			searchItemList = append(searchItemList, searchItem)
 		}

controllers/data_manage/factor_edb_series.go

@@ -0,0 +1,832 @@
+package data_manage
+
+import (
+	"encoding/json"
+	"eta/eta_api/controllers"
+	"eta/eta_api/models"
+	"eta/eta_api/models/data_manage"
+	"eta/eta_api/models/data_manage/request"
+	"eta/eta_api/services/data"
+	correlationServ "eta/eta_api/services/data/correlation"
+	"eta/eta_api/utils"
+	"fmt"
+	"strconv"
+	"strings"
+	"time"
+)
+
+// FactorEdbSeriesController 因子指标系列
+type FactorEdbSeriesController struct {
+	controllers.BaseAuthController
+}
+
+// CalculateFuncList
+// @Title 计算方式列表
+// @Description 计算方式列表
+// @Param   EdbInfoType  query  int  false "指标计算类型: 0-普通指标; 1-预测指标"
+// @Success Ret=200 操作成功
+// @router /factor_edb_series/calculate_func/list [get]
+func (this *FactorEdbSeriesController) CalculateFuncList() {
+	br := new(models.BaseResponse).Init()
+	defer func() {
+		if br.ErrMsg == "" {
+			br.IsSendEmail = false
+		}
+		this.Data["json"] = br
+		this.ServeJSON()
+	}()
+	sysUser := this.SysUser
+	if sysUser == nil {
+		br.Msg = "请登录"
+		br.ErrMsg = "请登录，SysUser Is Empty"
+		br.Ret = 408
+		return
+	}
+	edbInfoType, _ := this.GetInt("EdbInfoType", 0)
+
+	funcOb := new(data_manage.FactorEdbSeriesCalculateFunc)
+	cond := fmt.Sprintf(` AND %s = ?`, funcOb.Cols().EdbInfoType)
+	pars := make([]interface{}, 0)
+	pars = append(pars, edbInfoType)
+	list, e := funcOb.GetItemsByCondition(cond, pars, []string{}, fmt.Sprintf("%s ASC", funcOb.Cols().PrimaryId))
+	if e != nil {
+		br.Msg = "获取失败"
+		br.ErrMsg = fmt.Sprintf("获取计算方式列表失败, Err: %v", e)
+		return
+	}
+	resp := make([]*data_manage.FactorEdbSeriesCalculateFuncItem, 0)
+	for _, v := range list {
+		resp = append(resp, v.Format2Item())
+	}
+
+	br.Data = resp
+	br.Ret = 200
+	br.Success = true
+	br.Msg = "获取成功"
+}
+
+// Add
+// @Title 新增
+// @Description 新增
+// @Param	request	body request.AddFactorEdbSeriesReq true "type json string"
+// @Success Ret=200 操作成功
+// @router /factor_edb_series/add [post]
+func (this *FactorEdbSeriesController) Add() {
+	br := new(models.BaseResponse).Init()
+	defer func() {
+		if br.ErrMsg == "" {
+			br.IsSendEmail = false
+		}
+		this.Data["json"] = br
+		this.ServeJSON()
+	}()
+	sysUser := this.SysUser
+	if sysUser == nil {
+		br.Msg = "请登录"
+		br.ErrMsg = "请登录，SysUser Is Empty"
+		br.Ret = 408
+		return
+	}
+	var req request.AddFactorEdbSeriesReq
+	if e := json.Unmarshal(this.Ctx.Input.RequestBody, &req); e != nil {
+		br.Msg = "参数解析异常"
+		br.ErrMsg = fmt.Sprintf("参数解析异常, Err: %v", e)
+		return
+	}
+	req.SeriesName = strings.TrimSpace(req.SeriesName)
+	if req.SeriesName == "" {
+		br.Msg = "请输入指标系列名称"
+		return
+	}
+	if len(req.EdbInfoIds) <= 0 {
+		br.Msg = "请选择因子指标系列"
+		return
+	}
+	if len(req.EdbInfoIds) > 100 {
+		br.Msg = "添加指标总数量不得超过100"
+		return
+	}
+	calculateLen := len(req.Calculates)
+	if calculateLen > 5 {
+		br.Msg = "计算公式不可超过5个"
+		return
+	}
+	var calculatesJson string
+	if calculateLen > 0 {
+		b, e := json.Marshal(req.Calculates)
+		if e != nil {
+			br.Msg = "计算方式格式有误"
+			br.ErrMsg = "解析计算方式参数失败, Err: " + e.Error()
+			return
+		}
+		calculatesJson = string(b)
+		for _, v := range req.Calculates {
+			switch v.Source {
+			case utils.EdbBaseCalculateNszydpjjs, utils.EdbBaseCalculateHbz, utils.EdbBaseCalculateHcz, utils.EdbBaseCalculateCjjx:
+				if v.Formula == nil {
+					br.Msg = "请输入N值"
+					return
+				}
+				formula, ok := v.Formula.(string)
+				if !ok {
+					br.Msg = "N值格式有误"
+					return
+				}
+				formulaInt, _ := strconv.Atoi(formula)
+				if formulaInt <= 0 {
+					br.Msg = "N值不可小于0, 重新输入"
+					return
+				}
+			case utils.EdbBaseCalculateExponentialSmoothing:
+				if v.Formula == nil {
+					br.Msg = "请填写alpha值"
+					return
+				}
+				formula, ok := v.Formula.(string)
+				if !ok {
+					br.Msg = "alpha值格式有误"
+					return
+				}
+				alpha, _ := strconv.ParseFloat(formula, 64)
+				if alpha <= 0 || alpha >= 1 {
+					br.Msg = "alpha值应在0-1之间, 请重新输入"
+					return
+				}
+			}
+		}
+	}
+	edbArr, e := data_manage.GetEdbInfoByIdList(req.EdbInfoIds)
+	if e != nil {
+		br.Msg = "操作失败"
+		br.ErrMsg = "获取指标列表失败, Err: " + e.Error()
+		return
+	}
+	if len(edbArr) == 0 {
+		br.Msg = "因子指标系列有误"
+		br.ErrMsg = "因子指标系列长度为0"
+		return
+	}
+
+	// 新增指标系列
+	seriesItem := new(data_manage.FactorEdbSeries)
+	seriesItem.SeriesName = req.SeriesName
+	seriesItem.EdbInfoType = req.EdbInfoType
+	seriesItem.CreateTime = time.Now().Local()
+	seriesItem.ModifyTime = time.Now().Local()
+	if calculateLen > 0 {
+		seriesItem.CalculateState = data_manage.FactorEdbSeriesCalculating
+		seriesItem.CalculateStep = calculatesJson
+	}
+	mappings := make([]*data_manage.FactorEdbSeriesMapping, 0)
+	for _, v := range edbArr {
+		mappings = append(mappings, &data_manage.FactorEdbSeriesMapping{
+			EdbInfoId:  v.EdbInfoId,
+			EdbCode:    v.EdbCode,
+			CreateTime: time.Now().Local(),
+			ModifyTime: time.Now().Local(),
+		})
+	}
+	seriesId, e := seriesItem.CreateSeriesAndMapping(seriesItem, mappings)
+	if e != nil {
+		br.Msg = "操作失败"
+		br.ErrMsg = "新增因子指标系列失败, Err: " + e.Error()
+		return
+	}
+
+	// 计算指标数据
+	var calculateResp data_manage.FactorEdbSeriesStepCalculateResp
+	if calculateLen > 0 {
+		calculateResp, e = data.FactorEdbStepCalculate(seriesId, edbArr, req.Calculates, this.Lang, false)
+		if e != nil {
+			br.Msg = "操作失败"
+			br.ErrMsg = "计算因子指标失败, Err: " + e.Error()
+			return
+		}
+
+		// 更新系列计算状态
+		cols := []string{seriesItem.Cols().CalculateState, seriesItem.Cols().ModifyTime}
+		seriesItem.CalculateState = data_manage.FactorEdbSeriesCalculated
+		seriesItem.ModifyTime = time.Now().Local()
+		if e = seriesItem.Update(cols); e != nil {
+			br.Msg = "操作失败"
+			br.ErrMsg = "更新因子指标系列计算状态失败, Err: " + e.Error()
+			return
+		}
+	} else {
+		for _, v := range edbArr {
+			calculateResp.Success = append(calculateResp.Success, data_manage.FactorEdbSeriesStepCalculateResult{
+				EdbInfoId: v.EdbInfoId,
+				EdbCode:   v.EdbCode,
+				Msg:       "保存成功",
+			})
+		}
+	}
+	calculateResp.SeriesId = seriesId
+
+	br.Data = calculateResp
+	br.Ret = 200
+	br.Success = true
+	br.Msg = "操作成功"
+	br.IsAddLog = true
+}
+
+// Edit
+// @Title 编辑
+// @Description 编辑
+// @Param	request	body request.EditFactorEdbSeriesReq true "type json string"
+// @Success Ret=200 操作成功
+// @router /factor_edb_series/edit [post]
+func (this *FactorEdbSeriesController) Edit() {
+	br := new(models.BaseResponse).Init()
+	defer func() {
+		if br.ErrMsg == "" {
+			br.IsSendEmail = false
+		}
+		this.Data["json"] = br
+		this.ServeJSON()
+	}()
+	sysUser := this.SysUser
+	if sysUser == nil {
+		br.Msg = "请登录"
+		br.ErrMsg = "请登录，SysUser Is Empty"
+		br.Ret = 408
+		return
+	}
+	var req request.EditFactorEdbSeriesReq
+	if e := json.Unmarshal(this.Ctx.Input.RequestBody, &req); e != nil {
+		br.Msg = "参数解析异常"
+		br.ErrMsg = fmt.Sprintf("参数解析异常, Err: %v", e)
+		return
+	}
+	if req.SeriesId <= 0 {
+		br.Msg = "参数有误"
+		br.ErrMsg = fmt.Sprintf("参数有误, SeriesId: %d", req.SeriesId)
+		return
+	}
+	req.SeriesName = strings.TrimSpace(req.SeriesName)
+	if req.SeriesName == "" {
+		br.Msg = "请输入指标系列名称"
+		return
+	}
+	if len(req.EdbInfoIds) <= 0 {
+		br.Msg = "请选择因子指标系列"
+		return
+	}
+	if len(req.EdbInfoIds) > 100 {
+		br.Msg = "添加指标总数量不得超过100"
+		return
+	}
+	calculateLen := len(req.Calculates)
+	if calculateLen > 5 {
+		br.Msg = "计算公式不可超过5个"
+		return
+	}
+	var calculatesJson string
+	if calculateLen > 0 {
+		b, e := json.Marshal(req.Calculates)
+		if e != nil {
+			br.Msg = "计算方式格式有误"
+			br.ErrMsg = "解析计算方式参数失败, Err: " + e.Error()
+			return
+		}
+		calculatesJson = string(b)
+		for _, v := range req.Calculates {
+			switch v.Source {
+			case utils.EdbBaseCalculateNszydpjjs, utils.EdbBaseCalculateHbz, utils.EdbBaseCalculateHcz, utils.EdbBaseCalculateCjjx:
+				if v.Formula == nil {
+					br.Msg = "请输入N值"
+					return
+				}
+				formula, ok := v.Formula.(string)
+				if !ok {
+					br.Msg = "N值格式有误"
+					return
+				}
+				formulaInt, _ := strconv.Atoi(formula)
+				if formulaInt <= 0 {
+					br.Msg = "N值不可小于0, 重新输入"
+					return
+				}
+			case utils.EdbBaseCalculateExponentialSmoothing:
+				if v.Formula == nil {
+					br.Msg = "请填写alpha值"
+					return
+				}
+				formula, ok := v.Formula.(string)
+				if !ok {
+					br.Msg = "alpha值格式有误"
+					return
+				}
+				alpha, _ := strconv.ParseFloat(formula, 64)
+				if alpha <= 0 || alpha >= 1 {
+					br.Msg = "alpha值应在0-1之间, 请重新输入"
+					return
+				}
+			}
+		}
+	}
+	seriesOb := new(data_manage.FactorEdbSeries)
+	seriesItem, e := seriesOb.GetItemById(req.SeriesId)
+	if e != nil {
+		if e.Error() == utils.ErrNoRow() {
+			br.Msg = "该因子指标系列不存在"
+			return
+		}
+		br.Msg = "获取失败"
+		br.ErrMsg = "获取因子指标系列失败, Err: " + e.Error()
+		return
+	}
+	originCalculateState := seriesItem.CalculateState
+
+	edbArr, e := data_manage.GetEdbInfoByIdList(req.EdbInfoIds)
+	if e != nil {
+		br.Msg = "操作失败"
+		br.ErrMsg = "获取指标列表失败, Err: " + e.Error()
+		return
+	}
+	if len(edbArr) == 0 {
+		br.Msg = "因子指标系列有误"
+		br.ErrMsg = "因子指标系列长度为0"
+		return
+	}
+	var calculateResp data_manage.FactorEdbSeriesStepCalculateResp
+	calculateResp.SeriesId = seriesItem.FactorEdbSeriesId
+
+	// 如果不需要进行重新计算(比如只改了系列名称)那么只更新指标系列
+	seriesItem.SeriesName = req.SeriesName
+	seriesItem.EdbInfoType = req.EdbInfoType
+	seriesItem.ModifyTime = time.Now().Local()
+	updateCols := []string{seriesOb.Cols().SeriesName, seriesOb.Cols().EdbInfoType, seriesOb.Cols().ModifyTime}
+	if !req.Recalculate {
+		if e = seriesItem.Update(updateCols); e != nil {
+			br.Msg = "操作成功"
+			br.ErrMsg = "更新因子指标系列信息失败, Err: " + e.Error()
+			return
+		}
+		for _, v := range edbArr {
+			calculateResp.Success = append(calculateResp.Success, data_manage.FactorEdbSeriesStepCalculateResult{
+				EdbInfoId: v.EdbInfoId,
+				EdbCode:   v.EdbCode,
+				Msg:       "保存成功",
+			})
+		}
+		br.Data = calculateResp
+		br.Ret = 200
+		br.Success = true
+		br.Msg = "操作成功"
+		return
+	}
+
+	// 更新系列信息和指标关联
+	seriesItem.CalculateState = data_manage.FactorEdbSeriesCalculateNone
+	if calculateLen > 0 {
+		seriesItem.CalculateState = data_manage.FactorEdbSeriesCalculating
+		seriesItem.CalculateStep = calculatesJson
+		updateCols = append(updateCols, seriesOb.Cols().CalculateState, seriesOb.Cols().CalculateStep)
+	}
+	mappings := make([]*data_manage.FactorEdbSeriesMapping, 0)
+	for _, v := range edbArr {
+		mappings = append(mappings, &data_manage.FactorEdbSeriesMapping{
+			EdbInfoId:  v.EdbInfoId,
+			EdbCode:    v.EdbCode,
+			CreateTime: time.Now().Local(),
+			ModifyTime: time.Now().Local(),
+		})
+	}
+	if e = seriesItem.EditSeriesAndMapping(seriesItem, mappings, updateCols); e != nil {
+		br.Msg = "操作失败"
+		br.ErrMsg = "编辑因子指标系列失败, Err: " + e.Error()
+		return
+	}
+
+	// 重新计算
+	calculateResp, e = data.FactorEdbStepCalculate(seriesItem.FactorEdbSeriesId, edbArr, req.Calculates, this.Lang, req.Recalculate)
+	if e != nil {
+		br.Msg = "操作失败"
+		br.ErrMsg = "计算因子指标失败, Err: " + e.Error()
+		return
+	}
+	if seriesItem.CalculateState == data_manage.FactorEdbSeriesCalculating {
+		seriesItem.CalculateState = data_manage.FactorEdbSeriesCalculated
+	}
+
+	// 若原状态不一致, 更新状态
+	if originCalculateState != seriesItem.CalculateState {
+		cols := []string{seriesItem.Cols().CalculateState, seriesItem.Cols().ModifyTime}
+		seriesItem.ModifyTime = time.Now().Local()
+		if e = seriesItem.Update(cols); e != nil {
+			br.Msg = "操作失败"
+			br.ErrMsg = "更新因子指标系列计算状态失败, Err: " + e.Error()
+			return
+		}
+	}
+
+	br.Data = calculateResp
+	br.Ret = 200
+	br.Success = true
+	br.Msg = "操作成功"
+	br.IsAddLog = true
+}
+
+// Detail
+// @Title 详情
+// @Description 详情
+// @Param   SeriesId  query  int  false  "多因子指标系列ID"
+// @Success 200 {object} data_manage.FactorEdbSeriesDetail
+// @router /factor_edb_series/detail [get]
+func (this *FactorEdbSeriesController) Detail() {
+	br := new(models.BaseResponse).Init()
+	defer func() {
+		if br.ErrMsg == "" {
+			br.IsSendEmail = false
+		}
+		this.Data["json"] = br
+		this.ServeJSON()
+	}()
+	sysUser := this.SysUser
+	if sysUser == nil {
+		br.Msg = "请登录"
+		br.ErrMsg = "请登录，SysUser Is Empty"
+		br.Ret = 408
+		return
+	}
+	seriesId, _ := this.GetInt("SeriesId", 0)
+	if seriesId <= 0 {
+		br.Msg = "参数有误"
+		br.ErrMsg = fmt.Sprintf("参数有误, SeriesId: %d", seriesId)
+		return
+	}
+
+	seriesOb := new(data_manage.FactorEdbSeries)
+	series, e := seriesOb.GetItemById(seriesId)
+	if e != nil {
+		if e.Error() == utils.ErrNoRow() {
+			br.Msg = "该因子指标系列不存在"
+			return
+		}
+		br.Msg = "获取失败"
+		br.ErrMsg = "获取因子指标系列失败, Err: " + e.Error()
+		return
+	}
+
+	mappingOb := new(data_manage.FactorEdbSeriesMapping)
+	cond := fmt.Sprintf(" AND %s = ?", mappingOb.Cols().FactorEdbSeriesId)
+	pars := make([]interface{}, 0)
+	pars = append(pars, seriesId)
+	mappings, e := mappingOb.GetItemsByCondition(cond, pars, []string{}, fmt.Sprintf("%s ASC", mappingOb.Cols().CreateTime))
+	if e != nil {
+		br.Msg = "获取失败"
+		br.ErrMsg = "获取因子指标系列关联失败, Err: " + e.Error()
+		return
+	}
+
+	resp := new(data_manage.FactorEdbSeriesDetail)
+	resp.FactorEdbSeriesItem = series.Format2Item()
+	for _, m := range mappings {
+		resp.EdbMappings = append(resp.EdbMappings, m.Format2Item())
+	}
+
+	br.Data = resp
+	br.Ret = 200
+	br.Success = true
+	br.Msg = "获取成功"
+}
+
+// CorrelationMatrix
+// @Title 因子指标系列-相关性矩阵
+// @Description 因子指标系列-相关性矩阵
+// @Param	request	body request.FactorEdbSeriesCorrelationMatrixReq true "type json string"
+// @Success 200 {object} data_manage.FactorEdbSeriesCorrelationMatrixItem
+// @router /factor_edb_series/correlation/matrix [post]
+func (this *FactorEdbSeriesController) CorrelationMatrix() {
+	br := new(models.BaseResponse).Init()
+	defer func() {
+		if br.ErrMsg == "" {
+			br.IsSendEmail = false
+		}
+		this.Data["json"] = br
+		this.ServeJSON()
+	}()
+	sysUser := this.SysUser
+	if sysUser == nil {
+		br.Msg = "请登录"
+		br.ErrMsg = "请登录，SysUser Is Empty"
+		br.Ret = 408
+		return
+	}
+	var req request.FactorEdbSeriesCorrelationMatrixReq
+	if e := json.Unmarshal(this.Ctx.Input.RequestBody, &req); e != nil {
+		br.Msg = "参数解析异常"
+		br.ErrMsg = fmt.Sprintf("参数解析异常, Err: %v", e)
+		return
+	}
+	if req.BaseEdbInfoId <= 0 {
+		br.Msg = "请选择标的指标"
+		return
+	}
+	if len(req.SeriesIds) == 0 {
+		br.Msg = "请选择因子指标系列"
+		return
+	}
+	if req.Correlation.LeadValue <= 0 {
+		br.Msg = "分析周期不允许设置为负数或0"
+		return
+	}
+	if req.Correlation.LeadUnit == "" {
+		br.Msg = "请选择分析周期频度"
+		return
+	}
+	leadUnitDays, ok := utils.FrequencyDaysMap[req.Correlation.LeadUnit]
+	if !ok {
+		br.Msg = "错误的分析周期频度"
+		br.ErrMsg = fmt.Sprintf("分析周期频度有误: %s", req.Correlation.LeadUnit)
+		return
+	}
+
+	if req.Correlation.CalculateUnit == "" {
+		br.Msg = "请选择计算窗口频度"
+		return
+	}
+	calculateUnitDays, ok := utils.FrequencyDaysMap[req.Correlation.CalculateUnit]
+	if !ok {
+		br.Msg = "错误的计算窗口频度"
+		br.ErrMsg = fmt.Sprintf("计算窗口频度有误: %s", req.Correlation.CalculateUnit)
+		return
+	}
+	leadDays := 2 * req.Correlation.LeadValue * leadUnitDays
+	calculateDays := req.Correlation.CalculateValue * calculateUnitDays
+	if calculateDays < leadDays {
+		br.Msg = "计算窗口必须≥2*分析周期"
+		return
+	}
+
+	// 矩阵计算
+	var calculatePars data_manage.CalculateCorrelationMatrixPars
+	calculatePars.BaseEdbInfoId = req.BaseEdbInfoId
+	calculatePars.SeriesIds = req.SeriesIds
+	calculatePars.Correlation = req.Correlation
+	resp, _, e := correlationServ.CalculateCorrelationMatrix(calculatePars)
+	if e != nil {
+		br.Msg = "计算失败"
+		br.ErrMsg = fmt.Sprintf("计算相关性矩阵失败, %v", e)
+		return
+	}
+
+	// 获取标的指标信息及数据
+	//baseEdb, e := data_manage.GetEdbInfoById(req.BaseEdbInfoId)
+	//if e != nil {
+	//	if e.Error() == utils.ErrNoRow() {
+	//		br.Msg = "标的指标不存在"
+	//		return
+	//	}
+	//	br.Msg = "获取失败"
+	//	br.ErrMsg = "获取标的指标信息失败, Err: " + e.Error()
+	//	return
+	//}
+	//dataListA := make([]*data_manage.EdbDataList, 0)
+	//{
+	//	// 标的指标数据日期区间
+	//	startDate := time.Now().AddDate(0, 0, -calculateDays).Format(utils.FormatDate)
+	//	endDate := time.Now().Format(utils.FormatDate)
+	//	startDateTime, _ := time.ParseInLocation(utils.FormatDate, startDate, time.Local)
+	//	startDate = startDateTime.AddDate(0, 0, 1).Format(utils.FormatDate) // 不包含第一天
+	//	switch baseEdb.EdbInfoType {
+	//	case 0:
+	//		dataListA, e = data_manage.GetEdbDataList(baseEdb.Source, baseEdb.SubSource, baseEdb.EdbInfoId, startDate, endDate)
+	//	case 1:
+	//		_, dataListA, _, _, e, _ = data.GetPredictDataListByPredictEdbInfoId(baseEdb.EdbInfoId, startDate, endDate, false)
+	//	default:
+	//		br.Msg = "获取失败"
+	//		br.ErrMsg = fmt.Sprintf("标的指标类型异常: %d", baseEdb.EdbInfoType)
+	//		return
+	//	}
+	//	if e != nil {
+	//		br.Msg = "获取失败"
+	//		br.ErrMsg = "获取标的指标数据失败, Err:" + e.Error()
+	//		return
+	//	}
+	//}
+	//
+	//// 获取因子系列
+	//seriesIdItem := make(map[int]*data_manage.FactorEdbSeries)
+	//{
+	//	ob := new(data_manage.FactorEdbSeries)
+	//	cond := fmt.Sprintf(" AND %s IN (%s)", ob.Cols().PrimaryId, utils.GetOrmInReplace(len(req.SeriesIds)))
+	//	pars := make([]interface{}, 0)
+	//	pars = append(pars, req.SeriesIds)
+	//	items, e := ob.GetItemsByCondition(cond, pars, []string{}, fmt.Sprintf("%s ASC", ob.Cols().PrimaryId))
+	//	if e != nil {
+	//		br.Msg = "获取失败"
+	//		br.ErrMsg = "获取因子指标系列失败, Err: " + e.Error()
+	//		return
+	//	}
+	//	if len(items) != len(req.SeriesIds) {
+	//		br.Msg = "获取失败"
+	//		br.ErrMsg = "因子指标系列数量有误"
+	//		return
+	//	}
+	//	for _, v := range items {
+	//		seriesIdItem[v.FactorEdbSeriesId] = v
+	//	}
+	//}
+	//
+	//// 获取因子指标
+	//edbMappings := make([]*data_manage.FactorEdbSeriesMapping, 0)
+	//edbInfoIds := make([]int, 0)
+	//{
+	//	ob := new(data_manage.FactorEdbSeriesMapping)
+	//	cond := fmt.Sprintf(" AND %s IN (%s)", ob.Cols().FactorEdbSeriesId, utils.GetOrmInReplace(len(req.SeriesIds)))
+	//	pars := make([]interface{}, 0)
+	//	pars = append(pars, req.SeriesIds)
+	//	order := fmt.Sprintf("%s ASC, %s ASC", ob.Cols().FactorEdbSeriesId, ob.Cols().EdbInfoId)
+	//	items, e := ob.GetItemsByCondition(cond, pars, []string{}, order)
+	//	if e != nil {
+	//		br.Msg = "获取失败"
+	//		br.ErrMsg = "获取因子指标关联失败, Err: " + e.Error()
+	//		return
+	//	}
+	//	for _, v := range items {
+	//		edbInfoIds = append(edbInfoIds, v.EdbInfoId)
+	//	}
+	//	edbMappings = items
+	//}
+	//edbIdItem := make(map[int]*data_manage.EdbInfo)
+	//edbItems, e := data_manage.GetEdbInfoByIdList(edbInfoIds)
+	//if e != nil {
+	//	br.Msg = "获取失败"
+	//	br.ErrMsg = "获取因子指标失败, Err: " + e.Error()
+	//	return
+	//}
+	//for _, v := range edbItems {
+	//	edbIdItem[v.EdbInfoId] = v
+	//}
+	//
+	//// 获取因子指标数据, 计算相关性
+	//resp := new(data_manage.FactorEdbSeriesCorrelationMatrixResp)
+	//calculateDataOb := new(data_manage.FactorEdbSeriesCalculateData)
+	//
+	//calculateWorkers := make(chan struct{}, 10)
+	//wg := sync.WaitGroup{}
+	//edbExists := make(map[string]bool)
+	//chartKeyMap := make(map[string]*data_manage.FactorEdbSeriesChartMapping)
+	//for _, v := range edbMappings {
+	//	existsKey := fmt.Sprintf("%d-%d", v.FactorEdbSeriesId, v.EdbInfoId)
+	//	if edbExists[existsKey] {
+	//		continue
+	//	}
+	//	edbExists[existsKey] = true
+	//
+	//	edbItem := edbIdItem[v.EdbInfoId]
+	//	if edbItem == nil {
+	//		continue
+	//	}
+	//	seriesItem := seriesIdItem[v.FactorEdbSeriesId]
+	//	if seriesItem == nil {
+	//		continue
+	//	}
+	//
+	//	wg.Add(1)
+	//	go func(mapping *data_manage.FactorEdbSeriesMapping, edb *data_manage.EdbInfo, series *data_manage.FactorEdbSeries) {
+	//		defer func() {
+	//			wg.Done()
+	//			<-calculateWorkers
+	//		}()
+	//		calculateWorkers <- struct{}{}
+	//
+	//		var item data_manage.FactorEdbSeriesCorrelationMatrixItem
+	//		item.SeriesId = series.FactorEdbSeriesId
+	//		item.EdbInfoId = edb.EdbInfoId
+	//		item.EdbCode = edb.EdbCode
+	//		item.EdbName = edb.EdbName
+	//
+	//		// 指标来源
+	//		edbList := make([]*data_manage.ChartEdbInfoMapping, 0)
+	//		edbList = append(edbList, &data_manage.ChartEdbInfoMapping{
+	//			EdbInfoId:           edb.EdbInfoId,
+	//			EdbInfoCategoryType: edb.EdbInfoType,
+	//			EdbType:             edb.EdbType,
+	//			Source:              edb.Source,
+	//			SourceName:          edb.SourceName,
+	//		})
+	//		sourceNameList, sourceNameEnList := data.GetEdbSourceByEdbInfoIdList(edbList)
+	//		item.SourceName = strings.Join(sourceNameList, ",")
+	//		item.SourceNameEn = strings.Join(sourceNameEnList, ",")
+	//
+	//		// 获取指标数据
+	//		dataListB := make([]*data_manage.EdbDataList, 0)
+	//		if series.CalculateState == data_manage.FactorEdbSeriesCalculated {
+	//			cond := fmt.Sprintf(" AND %s = ? AND %s = ?", calculateDataOb.Cols().FactorEdbSeriesId, calculateDataOb.Cols().EdbInfoId)
+	//			pars := make([]interface{}, 0)
+	//			pars = append(pars, mapping.FactorEdbSeriesId, mapping.EdbInfoId)
+	//			dataItems, e := calculateDataOb.GetItemsByCondition(cond, pars, []string{calculateDataOb.Cols().DataTime, calculateDataOb.Cols().Value}, fmt.Sprintf("%s ASC", calculateDataOb.Cols().DataTime))
+	//			if e != nil {
+	//				item.Msg = fmt.Sprintf("计算失败")
+	//				item.ErrMsg = fmt.Sprintf("获取计算数据失败, err: %v", e)
+	//				resp.Fail = append(resp.Fail, item)
+	//				return
+	//			}
+	//			dataListB = data_manage.TransEdbSeriesCalculateData2EdbDataList(dataItems)
+	//		} else {
+	//			switch edb.EdbInfoType {
+	//			case 0:
+	//				dataListB, e = data_manage.GetEdbDataList(edb.Source, edb.SubSource, edb.EdbInfoId, "", "")
+	//			case 1:
+	//				_, dataListB, _, _, e, _ = data.GetPredictDataListByPredictEdbInfoId(edb.EdbInfoId, "", "", false)
+	//			default:
+	//				item.Msg = fmt.Sprintf("计算失败")
+	//				item.ErrMsg = fmt.Sprintf("指标类型异常, edbType: %d", edb.EdbInfoType)
+	//				resp.Fail = append(resp.Fail, item)
+	//				return
+	//			}
+	//		}
+	//
+	//		// 计算相关性
+	//		xEdbIdValue, yDataList, e := correlationServ.CalculateCorrelation(req.Correlation.LeadValue, req.Correlation.LeadUnit, baseEdb.Frequency, edb.Frequency, dataListA, dataListB)
+	//		if e != nil {
+	//			item.Msg = fmt.Sprintf("计算失败")
+	//			item.ErrMsg = fmt.Sprintf("相关性计算失败, err: %v", e)
+	//			resp.Fail = append(resp.Fail, item)
+	//			return
+	//		}
+	//
+	//		// X及Y轴数据
+	//		yData := yDataList[0].Value
+	//		yLen := len(yData)
+	//		values := make([]data_manage.FactorEdbSeriesCorrelationMatrixValues, len(xEdbIdValue))
+	//		for k, x := range xEdbIdValue {
+	//			var y float64
+	//			if k >= 0 && k < yLen {
+	//				y = yData[k]
+	//			}
+	//			y = utils.SubFloatToFloat(y, 2)
+	//			values[k] = data_manage.FactorEdbSeriesCorrelationMatrixValues{
+	//				XData: x, YData: y,
+	//			}
+	//		}
+	//
+	//		// 图表关联-此处添加的chart_info_id=0
+	//		newMapping := new(data_manage.FactorEdbSeriesChartMapping)
+	//		newMapping.CalculateType = data_manage.FactorEdbSeriesChartCalculateTypeCorrelation
+	//
+	//		// 计算参数
+	//		var calculatePars data_manage.FactorEdbSeriesChartCalculateCorrelationReq
+	//		calculatePars.BaseEdbInfoId = req.BaseEdbInfoId
+	//		calculatePars.LeadValue = req.Correlation.LeadValue
+	//		calculatePars.LeadUnit = req.Correlation.LeadUnit
+	//		calculatePars.CalculateValue = req.Correlation.CalculateValue
+	//		calculatePars.CalculateUnit = req.Correlation.CalculateUnit
+	//		bc, e := json.Marshal(calculatePars)
+	//		if e != nil {
+	//			item.Msg = fmt.Sprintf("计算失败")
+	//			item.ErrMsg = fmt.Sprintf("计算参数JSON格式化失败, err: %v", e)
+	//			resp.Fail = append(resp.Fail, item)
+	//			return
+	//		}
+	//		newMapping.CalculatePars = string(bc)
+	//
+	//		// 计算结果, 注此处保存的是排序前的顺序
+	//		bv, e := json.Marshal(values)
+	//		if e != nil {
+	//			item.Msg = fmt.Sprintf("计算失败")
+	//			item.ErrMsg = fmt.Sprintf("计算结果JSON格式化失败, err: %v", e)
+	//			resp.Fail = append(resp.Fail, item)
+	//			return
+	//		}
+	//		newMapping.CalculateData = string(bv)
+	//		newMapping.FactorEdbSeriesId = mapping.FactorEdbSeriesId
+	//		newMapping.EdbInfoId = mapping.EdbInfoId
+	//		newMapping.CreateTime = time.Now().Local()
+	//		newMapping.ModifyTime = time.Now().Local()
+	//		chartKeyMap[existsKey] = newMapping
+	//
+	//		// 按照固定规则排期数[0 1 2 3 -1 -2 -3], 仅矩阵展示为此顺序
+	//		sort.Sort(data_manage.FactorEdbSeriesCorrelationMatrixOrder(values))
+	//		item.Msg = "计算成功"
+	//		item.Values = values
+	//		resp.Success = append(resp.Success, item)
+	//	}(v, edbItem, seriesItem)
+	//}
+	//wg.Wait()
+	//
+	//// 新增图表关联, 此处按照顺序添加
+	//chartMappings := make([]*data_manage.FactorEdbSeriesChartMapping, 0)
+	//for _, v := range edbMappings {
+	//	k := fmt.Sprintf("%d-%d", v.FactorEdbSeriesId, v.EdbInfoId)
+	//	item := chartKeyMap[k]
+	//	if item == nil {
+	//		continue
+	//	}
+	//	chartMappings = append(chartMappings, item)
+	//}
+	//chartMappingOb := new(data_manage.FactorEdbSeriesChartMapping)
+	//if e = chartMappingOb.ClearAndCreateMapping(req.SeriesIds, chartMappings); e != nil {
+	//	br.Msg = "获取失败"
+	//	br.ErrMsg = fmt.Sprintf("新增图表关联失败, Err: %v", e)
+	//	return
+	//}
+
+	br.Data = resp
+	br.Ret = 200
+	br.Success = true
+	br.Msg = "获取成功"
+}

controllers/data_manage/multiple_graph_config.go

@@ -318,7 +318,7 @@ func (this *ChartInfoController) MultipleGraphPreview() {
 			}
 			startDate := time.Now().AddDate(0, 0, -correlationConf.CalculateValue*moveUnitDays).Format(utils.FormatDate)
 			endDate := time.Now().Format(utils.FormatDate)
-			xEdbIdValue, yDataList, e := correlationServ.GetChartDataByEdbInfo(edbInfoMappingA, edbInfoMappingB, correlationConf.LeadValue, correlationConf.LeadUnit, startDate, endDate)
+			xEdbIdValue, yDataList, e := correlationServ.GetChartDataByEdbInfo(edbInfoMappingA, edbInfoMappingB, correlationConf.LeadValue, correlationConf.LeadUnit, startDate, endDate, "")
 			if e != nil {
 				br.Msg = "获取失败"
 				br.ErrMsg = "获取相关性图表, 图表计算值失败, Err:" + e.Error()
@@ -828,6 +828,27 @@ func (this *ChartInfoController) MultipleGraphConfigSaveChart() {
 				startDate, endDate = utils.GetDateByDateType(req.Curve.DateType, req.Curve.StartDate, req.Curve.EndDate)
 			}
 
+			// 图例, 图表来源
+			var sourceFrom, extraConfig string
+			if req.CorrelationExtraConfig != nil {
+				b, e := json.Marshal(req.CorrelationExtraConfig)
+				if e != nil {
+					br.Msg = "保存失败"
+					br.ErrMsg = fmt.Sprintf("相关性图表图例信息JSON格式化失败, Err: %v", e)
+					return
+				}
+				extraConfig = string(b)
+			}
+			if req.SourcesFrom != nil {
+				b, e := json.Marshal(req.SourcesFrom)
+				if e != nil {
+					br.Msg = "保存失败"
+					br.ErrMsg = fmt.Sprintf("图表来源JSON格式化失败, Err: %v", e)
+					return
+				}
+				sourceFrom = string(b)
+			}
+
 			correlationChartInfoReq := data_manage.CorrelationChartInfoReq{
 				LeadValue:          leadValue,
 				LeadUnit:           leadUnit,
@@ -858,6 +879,8 @@ func (this *ChartInfoController) MultipleGraphConfigSaveChart() {
 					ChartType:            utils.CHART_TYPE_CURVE,
 					Calendar:             "公历",
 					CorrelationChartInfo: correlationChartInfoReq,
+					ExtraConfig:          extraConfig,
+					SourcesFrom:          sourceFrom,
 				}
 				chartInfo, err, errMsg, isSendEmail = correlationServ.AddChartInfo(addChartReq, chartSource, sysUser, this.Lang)
 			} else {
@@ -868,6 +891,8 @@ func (this *ChartInfoController) MultipleGraphConfigSaveChart() {
 					ChartType:            utils.CHART_TYPE_CURVE,
 					Calendar:             "公历",
 					CorrelationChartInfo: correlationChartInfoReq,
+					ExtraConfig:          extraConfig,
+					SourcesFrom:          sourceFrom,
 				}
 				chartInfo, err, errMsg, isSendEmail = correlationServ.EditChartInfo(editChartReq, sysUser, this.Lang)
 				if err != nil {
@@ -1495,12 +1520,16 @@ func (this *ChartInfoController) GetMultipleGraphConfig() {
 			return
 		}
 		for _, v := range chartList {
+			var mapping response.MultipleGraphConfigChartMapping
 			if tmpInfo, ok := chartMappingMap[v.ChartInfoId]; ok {
-				multipleGraphConfigChartMappingList = append(multipleGraphConfigChartMappingList, response.MultipleGraphConfigChartMapping{
-					ChartInfoId:            tmpInfo.ChartInfoId,
-					Source:                 tmpInfo.Source,
-					MultipleLocationSource: tmpInfo.Source,
-				})
+				mapping.ChartInfoId = tmpInfo.ChartInfoId
+				mapping.Source = tmpInfo.Source
+				mapping.MultipleLocationSource = tmpInfo.Source
+				if v.ChartInfoId == chartInfo.ChartInfoId {
+					mapping.CorrelationExtraConfig = chartInfo.ExtraConfig
+					mapping.SourcesFrom = chartInfo.SourcesFrom
+				}
+				multipleGraphConfigChartMappingList = append(multipleGraphConfigChartMappingList, mapping)
 			}
 		}
 	}

models/data_manage/chart_classify.go

@@ -22,6 +22,7 @@ type ChartClassify struct {
 	Source              int       `description:"1：ETA图库；2：商品价格曲线"`
 	IsJoinPermission    int       `description:"是否加入权限管控，0：不加入；1：加入；默认：0"`
 	ChartClassifyNameEn string    `description:"英文分类名称"`
+	RootId              int       `description:"顶级ID"`
 }
 
 func AddChartClassify(item *ChartClassify) (lastId int64, err error) {
@@ -262,6 +263,9 @@ type MoveChartClassifyReq struct {
 	ParentClassifyId int `description:"父级分类id"`
 	PrevClassifyId   int `description:"上一个兄弟节点分类id"`
 	NextClassifyId   int `description:"下一个兄弟节点分类id"`
+	ChartInfoId      int `description:"图表ID, 如果图表ID有值，则移动对象为图表，否则认为移动对象分类"`
+	PrevChartInfoId  int `description:"上一个图表ID"`
+	NextChartInfoId  int `description:"下一个图表ID"`
 }
 
 // GetFirstChartClassifyByParentId 获取当前父级图表分类下的排序第一条的数据
@@ -416,3 +420,46 @@ func GetChartClassifyBySourceAndIsJoinPermission(source, isJoinPermission int) (
 	_, err = o.Raw(sql, source, isJoinPermission).QueryRows(&items)
 	return
 }
+
+type ChartClassifyIdItems struct {
+	ChartClassifyId   int    `description:"分类id"`
+	ChartClassifyName string `description:"分类名称"`
+	UniqueCode        string `description:"唯一编码"`
+	ParentId          int    `description:"父级分类id"`
+	Level             int    `description:"层级"`
+	RootId            int    `description:"顶级分类id"`
+	IsJoinPermission  int    `description:"是否加入权限管控，0：不加入；1：加入；默认：0" json:"-"`
+	HaveOperaAuth     bool   `description:"是否有该数据权限，默认：false"`
+}
+
+func GetChartClassifyByRootIdLevel(rootId, source int, orderStr string) (items []*ChartClassifyIdItems, err error) {
+	o := orm.NewOrmUsingDB("data")
+	sql := ` SELECT * FROM chart_classify WHERE root_id = ? AND source = ? `
+	if orderStr != "" {
+		sql += orderStr
+	} else {
+		sql += ` order by level desc, sort asc, chart_classify_id asc`
+	}
+
+	_, err = o.Raw(sql, rootId, source).QueryRows(&items)
+	return
+}
+
+// UpdateChartClassifySortByParentIdAndSource 根据图表父类id更新排序
+func UpdateChartClassifySortByParentIdAndSource(parentId, classifyId, nowSort int, updateSort string, source int) (err error) {
+	o := orm.NewOrmUsingDB("data")
+	sql := ` update chart_classify set sort = ` + updateSort + ` WHERE parent_id=? and sort > ? AND source = ? `
+	if classifyId > 0 {
+		sql += ` or ( chart_classify_id > ` + fmt.Sprint(classifyId) + ` and sort= ` + fmt.Sprint(nowSort) + `)`
+	}
+	_, err = o.Raw(sql, parentId, nowSort, source).Exec()
+	return
+}
+
+// GetChartClassifyAllBySource 根据来源获取所有分类
+func GetChartClassifyAllBySource(source int) (items []*ChartClassifyItems, err error) {
+	o := orm.NewOrmUsingDB("data")
+	sql := ` SELECT * FROM chart_classify WHERE source = ? ORDER BY parent_id ASC, sort ASC, chart_classify_id ASC`
+	_, err = o.Raw(sql, source).QueryRows(&items)
+	return
+}

models/data_manage/chart_info.go

@@ -700,7 +700,9 @@ type ChartInfoDetailResp struct {
 	BarChartInfo         BarChartInfoReq  `description:"柱方图的配置"`
 	CorrelationChartInfo *CorrelationInfo `description:"相关性图表信息"`
 	DataResp             interface{}      `description:"图表数据,根据图的类型而定的,没有确定的数据格式"`
+	ClassifyLevels       []string         `description:"图表分类的UniqueCode-从最顶级到当前分类(给前端回显定位用的=_=!)"`
 }
+
 type BalanceTableChartListResp struct {
 	List []*BalanceChartInfoDetailResp
 }
@@ -739,6 +741,10 @@ type YData struct {
 	M              []int           `description:"对应开始日期的间隔值" json:"-"`
 	Unit           string          `description:"中文单位名称"`
 	UnitEn         string          `description:"英文单位名称"`
+	SeriesEdb      struct {
+		SeriesId  int `description:"因子指标系列ID"`
+		EdbInfoId int `description:"指标ID"`
+	} `description:"对应的系列指标"`
 }
 
 func ModifyChartInfoAndMapping(edbInfoIdStr string, req *SaveChartInfoReq, chartType int) (err error) {
@@ -1434,6 +1440,7 @@ type AddChartInfoResp struct {
 	ChartInfoId int    `description:"图表id"`
 	UniqueCode  string `description:"图表唯一编码"`
 	ChartType   int    `description:"生成样式:1:曲线图,2:季节性图"`
+	ClassifyId  int    `description:"分类ID"`
 }
 
 type QuarterDataList []*QuarterData
@@ -2000,6 +2007,8 @@ func EditCorrelationChartInfoAndMapping(req *EditChartInfoReq, edbInfoIdStr stri
 	pars = append(pars, req.ChartClassifyId)
 	pars = append(pars, disabled)
 	pars = append(pars, barChartConf)
+	pars = append(pars, req.ExtraConfig)
+	pars = append(pars, req.SourcesFrom)
 
 	sql := ` UPDATE  chart_info
 			SET
@@ -2009,7 +2018,9 @@ func EditCorrelationChartInfoAndMapping(req *EditChartInfoReq, edbInfoIdStr stri
 			  chart_classify_id = ?,
 			  modify_time = NOW(),
               disabled = ?,
-              bar_config = ?
+              bar_config = ?,
+			  extra_config = ?,
+			  sources_from = ?
 			`
 	if calendar != "" {
 		sql += `,calendar = ? `
@@ -2352,3 +2363,49 @@ type RadarYData struct {
 	Name  string    `description:"别名"`
 	Value []float64 `description:"每个指标的值"`
 }
+
+// ChartInfoSourcesFrom 图表来源
+type ChartInfoSourcesFrom struct {
+	IsShow   bool   `description:"是否展示" json:"isShow"`
+	Text     string `description:"来源文本" json:"text"`
+	Color    string `description:"来源颜色" json:"color"`
+	FontSize int    `description:"来源字号" json:"fontSize"`
+}
+
+// UpdateChartInfoSortByClassifyIdV2 根据分类id更新排序
+func UpdateChartInfoSortByClassifyIdV2(classifyId, nowSort int, prevChartInfoId int, updateSort string) (err error) {
+	o := orm.NewOrmUsingDB("data")
+	sql := ` update chart_info set sort = ` + updateSort + ` WHERE chart_classify_id = ?`
+	if prevChartInfoId > 0 {
+		sql += ` AND ( sort > ? or ( chart_info_id > ` + fmt.Sprint(prevChartInfoId) + ` and sort=` + fmt.Sprint(nowSort) + ` )) `
+	} else {
+		sql += ` AND ( sort > ? )`
+	}
+	_, err = o.Raw(sql, classifyId, nowSort).Exec()
+	return
+}
+
+// GetChartInfoMaxSortByClassifyId 获取分类下指标的最大的排序数
+func GetChartInfoMaxSortByClassifyId(classifyId int) (sort int, err error) {
+	o := orm.NewOrmUsingDB("data")
+	sql := `SELECT Max(sort) AS sort FROM chart_info WHERE chart_classify_id = ? `
+	err = o.Raw(sql, classifyId).QueryRow(&sort)
+	return
+}
+
+// GetChartInfoBySourceAndParentId 根据图表来源及父级ID获取图表
+func GetChartInfoBySourceAndParentId(source, parentId, adminId int) (items []*ChartClassifyItems, err error) {
+	o := orm.NewOrmUsingDB("data")
+	sql := ` SELECT chart_info_id,chart_classify_id,chart_name AS chart_classify_name,chart_name_en AS chart_classify_name_en,
+             unique_code,sys_user_id,sys_user_real_name,date_type,start_date,end_date,chart_type,calendar,season_start_date,season_end_date,source
+            FROM chart_info WHERE source = ? AND chart_classify_id = ?`
+	pars := make([]interface{}, 0)
+	pars = append(pars, source, parentId)
+	if adminId > 0 {
+		sql += ` AND sys_user_id = ?`
+		pars = append(pars, adminId)
+	}
+	sql += ` ORDER BY sort asc,chart_info_id ASC `
+	_, err = o.Raw(sql, pars).QueryRows(&items)
+	return
+}

models/data_manage/chart_info_correlation.go

@@ -25,6 +25,7 @@ type ChartInfoCorrelation struct {
 	CorrelationData        string    `description:"Y轴-相关性系数"`
 	CreateTime             time.Time `description:"创建时间"`
 	ModifyTime             time.Time `description:"更新时间"`
+	AnalysisMode           int       `description:"分析模式: 0-单因子; 1-多因子"`
 }
 
 type CorrelationInfo struct {
@@ -38,6 +39,7 @@ type CorrelationInfo struct {
 	EdbInfoIdSecond int    `description:"B指标ID"`
 	PeriodData      string `description:"X轴-期数数据"`
 	CorrelationData string `description:"Y轴-相关性系数"`
+	AnalysisMode    int    `description:"分析模式: 0-单因子; 1-多因子"`
 }
 
 func (m *ChartInfoCorrelation) TableName() string {
@@ -135,3 +137,264 @@ func CreateCorrelationChartAndEdb(chartInfo *ChartInfo, edbMappingList []*ChartE
 	}
 	return
 }
+
+// FactorCorrelationConfig 因子指标系列-相关性配置
+type FactorCorrelationConfig struct {
+	LeadValue      int                       `description:"领先期数"`
+	LeadUnit       string                    `description:"频度"`
+	CalculateValue int                       `description:"计算窗口"`
+	CalculateUnit  string                    `description:"计算频度"`
+	SeriesEdb      []CorrelationSeriesEdbReq `description:"关联系列指标"`
+	SeriesIds      []int                     `description:"所有因子系列"`
+}
+
+// CorrelationChartLegend 相关性图表图例
+type CorrelationChartLegend struct {
+	LegendName string `description:"图例名称"`
+	Color      string `description:"图例颜色"`
+	EdbInfoId  int    `description:"指标ID"`
+	SeriesId   int    `description:"因子指标系列ID"`
+}
+
+// CorrelationSeriesEdbReq 指标系列
+type CorrelationSeriesEdbReq struct {
+	EdbInfoId int `description:"指标ID"`
+	SeriesId  int `description:"因子指标系列ID"`
+}
+
+// CorrelationChartInfoExtraConfig 相关性图表额外设置
+type CorrelationChartInfoExtraConfig struct {
+	LegendConfig []*CorrelationChartLegend `description:"图例设置"`
+}
+
+// CreateMultiFactorCorrelationChartAndEdb 新增多因子相关性图表
+func CreateMultiFactorCorrelationChartAndEdb(chartInfo *ChartInfo, edbMappingList []*ChartEdbMapping, correlationInfo *ChartInfoCorrelation, chartMappings []*FactorEdbSeriesChartMapping, saveAs bool, copySeries []*FactorEdbSeries, copySeriesEdb []*FactorEdbSeriesMapping, copySeriesData []*FactorEdbSeriesCalculateData) (chartInfoId int, seriesIdMap map[int]int, err error) {
+	seriesIdMap = make(map[int]int) // 此处做一个原ID与新ID的映射, 另存为才用的到
+	o := orm.NewOrmUsingDB("data")
+	tx, e := o.Begin()
+	if e != nil {
+		err = fmt.Errorf("orm begin err: %v", e)
+		return
+	}
+	defer func() {
+		if err != nil {
+			_ = tx.Rollback()
+			return
+		}
+		_ = tx.Commit()
+	}()
+
+	// 新增图表信息
+	chartId, e := tx.Insert(chartInfo)
+	if e != nil {
+		err = fmt.Errorf("chart insert err: %v", e)
+		return
+	}
+	chartInfo.ChartInfoId = int(chartId)
+	chartInfoId = chartInfo.ChartInfoId
+
+	// 指标mapping
+	if len(edbMappingList) > 0 {
+		for i := range edbMappingList {
+			edbMappingList[i].ChartInfoId = chartInfoId
+		}
+		_, e = tx.InsertMulti(200, edbMappingList)
+		if e != nil {
+			err = fmt.Errorf("edb mappings insert err: %v", e)
+			return
+		}
+	}
+
+	// 相关性信息
+	correlationInfo.CorrelationChartInfoId = chartInfoId
+	if _, e = tx.Insert(correlationInfo); e != nil {
+		err = fmt.Errorf("correlate chart insert err: %v", e)
+		return
+	}
+
+	// 新增
+	if !saveAs {
+		// 指标系列-图表关联
+		if len(chartMappings) > 0 {
+			for _, v := range chartMappings {
+				//v.FactorEdbSeriesChartMappingId = 0
+				v.ChartInfoId = chartInfoId
+				//v.FactorEdbSeriesId = seriesIdMap[v.FactorEdbSeriesId]
+			}
+			_, e = tx.InsertMulti(200, chartMappings)
+			if e != nil {
+				err = fmt.Errorf("insert series chart mappings err: %v", e)
+				return
+			}
+
+			//chartMappingOb := new(FactorEdbSeriesChartMapping)
+			//sql := fmt.Sprintf(`UPDATE %s SET %s = ?, %s = ?, %s = ?, %s = ? WHERE %s = ?`, chartMappingOb.TableName(), chartMappingOb.Cols().ChartInfoId, chartMappingOb.Cols().Source, chartMappingOb.Cols().EdbUsed, chartMappingOb.Cols().ModifyTime, chartMappingOb.Cols().PrimaryId)
+			//p, e := o.Raw(sql).Prepare()
+			//if e != nil {
+			//	err = fmt.Errorf("sql prepare err: %v", e)
+			//	return
+			//}
+			//defer func() {
+			//	_ = p.Close()
+			//}()
+			//for _, v := range chartMappings {
+			//	v.ChartInfoId = chartInfoId
+			//	_, e = p.Exec(v.ChartInfoId, v.Source, v.EdbUsed, v.ModifyTime, v.FactorEdbSeriesChartMappingId)
+			//	if e != nil {
+			//		err = fmt.Errorf("update exec err: %v", e)
+			//		return
+			//	}
+			//}
+		}
+		return
+	}
+
+	// 另存为
+	originSeriesIds := make([]int, 0)
+	for _, v := range copySeries {
+		id := v.FactorEdbSeriesId
+		originSeriesIds = append(originSeriesIds, id)
+		v.FactorEdbSeriesId = 0
+		newId, e := tx.Insert(v)
+		if e != nil {
+			err = fmt.Errorf("copy series err: %v", e)
+			return
+		}
+		seriesIdMap[id] = int(newId)
+	}
+	for _, v := range copySeriesEdb {
+		v.FactorEdbSeriesMappingId = 0
+		v.FactorEdbSeriesId = seriesIdMap[v.FactorEdbSeriesId]
+	}
+	_, e = tx.InsertMulti(200, copySeriesEdb)
+	if e != nil {
+		err = fmt.Errorf("copy series edb mappings err: %v", e)
+		return
+	}
+	if len(chartMappings) > 0 {
+		for _, v := range chartMappings {
+			v.FactorEdbSeriesChartMappingId = 0
+			v.ChartInfoId = chartInfoId
+			v.FactorEdbSeriesId = seriesIdMap[v.FactorEdbSeriesId]
+		}
+		_, e = tx.InsertMulti(200, chartMappings)
+		if e != nil {
+			err = fmt.Errorf("copy series chart mappings err: %v", e)
+			return
+		}
+	}
+
+	// 系列指标计算
+	if len(copySeriesData) > 0 {
+		newCalculateData := make([]*FactorEdbSeriesCalculateData, 0)
+		for _, v := range copySeriesData {
+			t := v
+			t.FactorEdbSeriesCalculateDataId = 0
+			t.FactorEdbSeriesId = seriesIdMap[t.FactorEdbSeriesId]
+			newCalculateData = append(newCalculateData, t)
+		}
+		_, e = tx.InsertMulti(200, newCalculateData)
+		if e != nil {
+			err = fmt.Errorf("copy series calculate data err: %v", e)
+			return
+		}
+	}
+	return
+}
+
+// UpdateMultiFactorCorrelationChartAndEdb 编辑多因子相关性图表
+func UpdateMultiFactorCorrelationChartAndEdb(chartInfo *ChartInfo, edbMappingList []*ChartEdbMapping, correlationInfo *ChartInfoCorrelation, chartMappings []*FactorEdbSeriesChartMapping, chartUpdateCols, correlateUpdateCols []string) (err error) {
+	o := orm.NewOrmUsingDB("data")
+	tx, e := o.Begin()
+	if e != nil {
+		err = fmt.Errorf("orm begin err: %v", e)
+		return
+	}
+	defer func() {
+		if err != nil {
+			_ = tx.Rollback()
+			return
+		}
+		_ = tx.Commit()
+	}()
+
+	// 更新图表信息
+	_, e = tx.Update(chartInfo, chartUpdateCols...)
+	if e != nil {
+		err = fmt.Errorf("chart update err: %v", e)
+		return
+	}
+
+	// 指标mapping
+	sql := `DELETE FROM chart_edb_mapping WHERE chart_info_id = ?`
+	_, e = tx.Raw(sql, chartInfo.ChartInfoId).Exec()
+	if e != nil {
+		err = fmt.Errorf("clear chart edb mapping err: %v", e)
+		return
+	}
+	if len(edbMappingList) > 0 {
+		for i := range edbMappingList {
+			edbMappingList[i].ChartInfoId = chartInfo.ChartInfoId
+		}
+		_, e = tx.InsertMulti(200, edbMappingList)
+		if e != nil {
+			err = fmt.Errorf("edb mappings insert err: %v", e)
+			return
+		}
+	}
+
+	// 相关性信息
+	_, e = tx.Update(correlationInfo, correlateUpdateCols...)
+	if e != nil {
+		err = fmt.Errorf("correlate chart update err: %v", e)
+		return
+	}
+
+	// 删除原关联
+	chartMappingOb := new(FactorEdbSeriesChartMapping)
+	//if len(existsChartMappingIds) > 0 {
+	sql = fmt.Sprintf(`DELETE FROM %s WHERE %s = ?`, chartMappingOb.TableName(), chartMappingOb.Cols().ChartInfoId)
+	_, e = tx.Raw(sql, chartInfo.ChartInfoId).Exec()
+	if e != nil {
+		err = fmt.Errorf("clear chart mapping err: %v", e)
+		return
+	}
+	//}
+
+	// 指标系列-图表关联
+	if len(chartMappings) > 0 {
+		_, e = tx.InsertMulti(200, chartMappings)
+		if e != nil {
+			err = fmt.Errorf("insert series chart mappings err: %v", e)
+			return
+		}
+
+		//sql = fmt.Sprintf(`UPDATE %s SET %s = ?, %s = ?, %s = ?, %s = ? WHERE %s = ?`, chartMappingOb.TableName(), chartMappingOb.Cols().ChartInfoId, chartMappingOb.Cols().Source, chartMappingOb.Cols().EdbUsed, chartMappingOb.Cols().ModifyTime, chartMappingOb.Cols().PrimaryId)
+		//p, e := o.Raw(sql).Prepare()
+		//if e != nil {
+		//	err = fmt.Errorf("sql prepare err: %v", e)
+		//	return
+		//}
+		//defer func() {
+		//	_ = p.Close()
+		//}()
+		//for _, v := range chartMappings {
+		//	_, e = p.Exec(v.ChartInfoId, v.Source, v.EdbUsed, v.ModifyTime, v.FactorEdbSeriesChartMappingId)
+		//	if e != nil {
+		//		err = fmt.Errorf("update exec err: %v", e)
+		//		return
+		//	}
+		//}
+	}
+	return
+}
+
+// FactorCorrelationEditDetail 编辑页详情
+type FactorCorrelationEditDetail struct {
+	ChartInfoId       int                                    `description:"图表ID"`
+	UniqueCode        string                                 `description:"图表唯一编码"`
+	BaseEdbInfo       *ChartEdbInfoMapping                   `description:"标的指标信息"`
+	EdbSeries         []*FactorEdbSeriesDetail               `description:"指标系列"`
+	CorrelationConfig CorrelationConfig                      `description:"相关性基础配置"`
+	CorrelationMatrix []FactorEdbSeriesCorrelationMatrixItem `description:"相关性矩阵"`
+}

models/data_manage/correlation/request/chart.go

@@ -1,5 +1,7 @@
 package request
 
+import "eta/eta_api/models/data_manage"
+
 // EditChartEnInfoReq
 // @Description: 编辑图表英文信息请求
 type EditChartEnInfoReq struct {
@@ -13,3 +15,23 @@ type EditChartInfoBaseReq struct {
 	ChartInfoId int    `description:"图表ID"`
 	ChartName   string `description:"英文图表名称"`
 }
+
+// CorrelationChartMultiFactorSaveReq 多因子相关性图表-保存请求
+type CorrelationChartMultiFactorSaveReq struct {
+	ChartInfoId       int                                          `description:"图表ID"`
+	ChartName         string                                       `description:"图表名称"`
+	ClassifyId        int                                          `description:"分类id"`
+	AnalysisMode      int                                          `description:"分析模式: 0-单因子; 1-多因子"`
+	BaseEdbInfoId     int                                          `description:"标的指标ID"`
+	FactorCorrelation *data_manage.FactorCorrelationConfig         `description:"多因子指标系列-相关性配置"`
+	SourcesFrom       *data_manage.ChartInfoSourcesFrom            `description:"图表来源"`
+	ExtraConfig       *data_manage.CorrelationChartInfoExtraConfig `description:"额外设置"`
+	SaveAs            bool                                         `description:"是否另存为: true-是"`
+}
+
+// CorrelationChartMultiFactorSaveAsReq 多因子相关性图表-另存为请求
+type CorrelationChartMultiFactorSaveAsReq struct {
+	ChartInfoId int    `description:"图表ID"`
+	ChartName   string `description:"图表名称"`
+	ClassifyId  int    `description:"分类id"`
+}

models/data_manage/edb_info.go

@@ -1824,3 +1824,14 @@ type ReplaceEdbInfoItem struct {
 	OldEdbInfo *EdbInfo
 	NewEdbInfo *EdbInfo
 }
+
+func GetEdbInfoListByCond(condition string, pars []interface{}) (list []*EdbInfoList, err error) {
+	o := orm.NewOrmUsingDB("data")
+	sql := ` SELECT * FROM edb_info WHERE 1=1 `
+	if condition != "" {
+		sql += condition
+	}
+	sql += ` ORDER BY create_time DESC `
+	_, err = o.Raw(sql, pars).QueryRows(&list)
+	return
+}

models/data_manage/edb_info_calculate.go

@@ -167,6 +167,7 @@ type EdbInfoBase struct {
 	UnitEn        string `description:"英文单位"`
 	ClassifyId    int    `description:"分类id"`
 	HaveOperaAuth bool   `description:"是否有数据权限，默认：false"`
+	EdbInfoType   int    `description:"指标类型: 0-普通指标; 1-预测指标"`
 }
 
 type CalculateEdbInfoItem struct {
@@ -511,6 +512,7 @@ type CalculateMultiEdbSearchResp struct {
 	SearchItem []CalculateMultiEdbSearchItem `description:"查询结果"`
 	Paging     *paging.PagingItem
 }
+
 type CalculateMultiEdbSearchItem struct {
 	EdbInfoId       int    `description:"指标id"`
 	EdbName         string `description:"指标名称"`
@@ -524,4 +526,11 @@ type CalculateMultiEdbSearchItem struct {
 	EndValue        float64 `description:"数据的最新值（预测日期的最新值）"`
 	EndDate         string  `description:"终止日期"`
 	HaveOperaAuth   bool    `description:"是否有数据权限，默认：false"`
+	EdbInfoType     int     `description:"指标类型: 0-普通指标; 1-预测指标"`
+}
+
+// BaseStepCalculateReq 指标库-基础分步骤计算请求
+type BaseStepCalculateReq struct {
+	DataList   []*EdbInfoSearchData
+	Calculates []FactorEdbSeriesCalculatePars
 }

models/data_manage/factor_edb_series.go

@@ -0,0 +1,368 @@
+package data_manage
+
+import (
+	"encoding/json"
+	"eta/eta_api/utils"
+	"fmt"
+	"github.com/beego/beego/v2/client/orm"
+	"strings"
+	"time"
+)
+
+const (
+	FactorEdbSeriesCalculateNone = 0
+	FactorEdbSeriesCalculating   = 1
+	FactorEdbSeriesCalculated    = 2
+)
+
+// FactorEdbSeries 因子指标系列表
+type FactorEdbSeries struct {
+	FactorEdbSeriesId int       `orm:"column(factor_edb_series_id);pk"`
+	SeriesName        string    `description:"系列名称"`
+	EdbInfoType       int       `description:"关联指标类型：0-普通指标；1-预测指标"`
+	CalculateStep     string    `description:"计算步骤-JSON"`
+	CalculateState    int       `description:"计算状态: 0-无计算; 1-计算中; 2-计算完成"`
+	CreateTime        time.Time `description:"创建时间"`
+	ModifyTime        time.Time `description:"修改时间"`
+}
+
+func (m *FactorEdbSeries) TableName() string {
+	return "factor_edb_series"
+}
+
+type FactorEdbSeriesCols struct {
+	PrimaryId      string
+	SeriesName     string
+	EdbInfoType    string
+	CalculateStep  string
+	CalculateState string
+	CreateTime     string
+	ModifyTime     string
+}
+
+func (m *FactorEdbSeries) Cols() FactorEdbSeriesCols {
+	return FactorEdbSeriesCols{
+		PrimaryId:      "factor_edb_series_id",
+		SeriesName:     "series_name",
+		EdbInfoType:    "edb_info_type",
+		CalculateStep:  "calculate_step",
+		CalculateState: "calculate_state",
+		CreateTime:     "create_time",
+		ModifyTime:     "modify_time",
+	}
+}
+
+func (m *FactorEdbSeries) Create() (err error) {
+	o := orm.NewOrmUsingDB("data")
+	id, err := o.Insert(m)
+	if err != nil {
+		return
+	}
+	m.FactorEdbSeriesId = int(id)
+	return
+}
+
+func (m *FactorEdbSeries) CreateMulti(items []*FactorEdbSeries) (err error) {
+	if len(items) == 0 {
+		return
+	}
+	o := orm.NewOrmUsingDB("data")
+	_, err = o.InsertMulti(len(items), items)
+	return
+}
+
+func (m *FactorEdbSeries) Update(cols []string) (err error) {
+	o := orm.NewOrmUsingDB("data")
+	_, err = o.Update(m, cols...)
+	return
+}
+
+func (m *FactorEdbSeries) Remove() (err error) {
+	o := orm.NewOrmUsingDB("data")
+	sql := fmt.Sprintf(`DELETE FROM %s WHERE %s = ? LIMIT 1`, m.TableName(), m.Cols().PrimaryId)
+	_, err = o.Raw(sql, m.FactorEdbSeriesId).Exec()
+	return
+}
+
+func (m *FactorEdbSeries) MultiRemove(ids []int) (err error) {
+	if len(ids) == 0 {
+		return
+	}
+	o := orm.NewOrmUsingDB("data")
+	sql := fmt.Sprintf(`DELETE FROM %s WHERE %s IN (%s)`, m.TableName(), m.Cols().PrimaryId, utils.GetOrmInReplace(len(ids)))
+	_, err = o.Raw(sql, ids).Exec()
+	return
+}
+
+func (m *FactorEdbSeries) RemoveByCondition(condition string, pars []interface{}) (err error) {
+	if condition == "" {
+		return
+	}
+	o := orm.NewOrmUsingDB("data")
+	sql := fmt.Sprintf(`DELETE FROM %s WHERE %s`, m.TableName(), condition)
+	_, err = o.Raw(sql, pars).Exec()
+	return
+}
+
+func (m *FactorEdbSeries) GetItemById(id int) (item *FactorEdbSeries, err error) {
+	o := orm.NewOrmUsingDB("data")
+	sql := fmt.Sprintf(`SELECT * FROM %s WHERE %s = ? LIMIT 1`, m.TableName(), m.Cols().PrimaryId)
+	err = o.Raw(sql, id).QueryRow(&item)
+	return
+}
+
+func (m *FactorEdbSeries) GetItemByCondition(condition string, pars []interface{}, orderRule string) (item *FactorEdbSeries, err error) {
+	o := orm.NewOrmUsingDB("data")
+	order := ``
+	if orderRule != "" {
+		order = ` ORDER BY ` + orderRule
+	}
+	sql := fmt.Sprintf(`SELECT * FROM %s WHERE 1=1 %s %s LIMIT 1`, m.TableName(), condition, order)
+	err = o.Raw(sql, pars).QueryRow(&item)
+	return
+}
+
+func (m *FactorEdbSeries) GetCountByCondition(condition string, pars []interface{}) (count int, err error) {
+	o := orm.NewOrmUsingDB("data")
+	sql := fmt.Sprintf(`SELECT COUNT(1) FROM %s WHERE 1=1 %s`, m.TableName(), condition)
+	err = o.Raw(sql, pars).QueryRow(&count)
+	return
+}
+
+func (m *FactorEdbSeries) GetItemsByCondition(condition string, pars []interface{}, fieldArr []string, orderRule string) (items []*FactorEdbSeries, err error) {
+	o := orm.NewOrmUsingDB("data")
+	fields := strings.Join(fieldArr, ",")
+	if len(fieldArr) == 0 {
+		fields = `*`
+	}
+	order := fmt.Sprintf(`ORDER BY %s DESC`, m.Cols().CreateTime)
+	if orderRule != "" {
+		order = ` ORDER BY ` + orderRule
+	}
+	sql := fmt.Sprintf(`SELECT %s FROM %s WHERE 1=1 %s %s`, fields, m.TableName(), condition, order)
+	_, err = o.Raw(sql, pars).QueryRows(&items)
+	return
+}
+
+func (m *FactorEdbSeries) GetPageItemsByCondition(condition string, pars []interface{}, fieldArr []string, orderRule string, startSize, pageSize int) (items []*FactorEdbSeries, err error) {
+	o := orm.NewOrmUsingDB("data")
+	fields := strings.Join(fieldArr, ",")
+	if len(fieldArr) == 0 {
+		fields = `*`
+	}
+	order := fmt.Sprintf(`ORDER BY %s DESC`, m.Cols().CreateTime)
+	if orderRule != "" {
+		order = ` ORDER BY ` + orderRule
+	}
+	sql := fmt.Sprintf(`SELECT %s FROM %s WHERE 1=1 %s %s LIMIT ?,?`, fields, m.TableName(), condition, order)
+	_, err = o.Raw(sql, pars, startSize, pageSize).QueryRows(&items)
+	return
+}
+
+// FactorEdbSeriesItem 多因子系列信息
+type FactorEdbSeriesItem struct {
+	SeriesId      int                            `description:"多因子系列ID"`
+	SeriesName    string                         `description:"系列名称"`
+	EdbInfoType   int                            `description:"关联指标类型：0-普通指标；1-预测指标"`
+	CalculateStep []FactorEdbSeriesCalculatePars `description:"计算步骤-JSON"`
+	CreateTime    string                         `description:"创建时间"`
+	ModifyTime    string                         `description:"修改时间"`
+}
+
+func (m *FactorEdbSeries) Format2Item() (item *FactorEdbSeriesItem) {
+	item = new(FactorEdbSeriesItem)
+	item.SeriesId = m.FactorEdbSeriesId
+	item.SeriesName = m.SeriesName
+	item.EdbInfoType = m.EdbInfoType
+	if m.CalculateStep != "" {
+		_ = json.Unmarshal([]byte(m.CalculateStep), &item.CalculateStep)
+	}
+	item.CreateTime = utils.TimeTransferString(utils.FormatDateTime, m.CreateTime)
+	item.ModifyTime = utils.TimeTransferString(utils.FormatDateTime, m.ModifyTime)
+	return
+}
+
+// FactorEdbSeriesCalculatePars 计算参数
+type FactorEdbSeriesCalculatePars struct {
+	Formula       interface{} `description:"N值/移动天数/指数修匀alpha值/计算公式等"`
+	Calendar      string      `description:"公历/农历"`
+	Frequency     string      `description:"需要转换的频度"`
+	MoveType      int         `description:"移动方式: 1-领先(默认); 2-滞后"`
+	MoveFrequency string      `description:"移动频度"`
+	FromFrequency string      `description:"来源的频度"`
+	Source        int         `description:"计算方式来源(不是指标来源)"`
+	Sort          int         `description:"计算顺序"`
+}
+
+// CreateSeriesAndMapping 新增系列和指标关联
+func (m *FactorEdbSeries) CreateSeriesAndMapping(item *FactorEdbSeries, mappings []*FactorEdbSeriesMapping) (seriesId int, err error) {
+	if item == nil {
+		err = fmt.Errorf("series is nil")
+		return
+	}
+	o := orm.NewOrmUsingDB("data")
+	tx, e := o.Begin()
+	if e != nil {
+		err = fmt.Errorf("orm begin err: %v", e)
+		return
+	}
+	defer func() {
+		if err != nil {
+			_ = tx.Rollback()
+			return
+		}
+		_ = tx.Commit()
+	}()
+
+	id, e := tx.Insert(item)
+	if e != nil {
+		err = fmt.Errorf("insert series err: %v", e)
+		return
+	}
+	seriesId = int(id)
+	item.FactorEdbSeriesId = seriesId
+
+	if len(mappings) > 0 {
+		for _, v := range mappings {
+			v.FactorEdbSeriesId = seriesId
+		}
+		_, e = tx.InsertMulti(200, mappings)
+		if e != nil {
+			err = fmt.Errorf("insert multi mapping err: %v", e)
+			return
+		}
+	}
+	return
+}
+
+// EditSeriesAndMapping 编辑系列和指标关联
+func (m *FactorEdbSeries) EditSeriesAndMapping(item *FactorEdbSeries, mappings []*FactorEdbSeriesMapping, updateCols []string) (err error) {
+	if item == nil {
+		err = fmt.Errorf("series is nil")
+		return
+	}
+	o := orm.NewOrmUsingDB("data")
+	tx, e := o.Begin()
+	if e != nil {
+		err = fmt.Errorf("orm begin err: %v", e)
+		return
+	}
+	defer func() {
+		if err != nil {
+			_ = tx.Rollback()
+			return
+		}
+		_ = tx.Commit()
+	}()
+
+	_, e = tx.Update(item, updateCols...)
+	if e != nil {
+		err = fmt.Errorf("update series err: %v", e)
+		return
+	}
+
+	// 清除原指标关联
+	mappingOb := new(FactorEdbSeriesMapping)
+	cond := fmt.Sprintf("%s = ?", mappingOb.Cols().FactorEdbSeriesId)
+	pars := make([]interface{}, 0)
+	pars = append(pars, item.FactorEdbSeriesId)
+	sql := fmt.Sprintf(`DELETE FROM %s WHERE %s`, mappingOb.TableName(), cond)
+	_, e = tx.Raw(sql, pars).Exec()
+	if e != nil {
+		err = fmt.Errorf("remove mapping err: %v", e)
+		return
+	}
+
+	if len(mappings) > 0 {
+		for _, v := range mappings {
+			v.FactorEdbSeriesId = item.FactorEdbSeriesId
+		}
+		_, e = tx.InsertMulti(200, mappings)
+		if e != nil {
+			err = fmt.Errorf("insert multi mapping err: %v", e)
+			return
+		}
+	}
+	return
+}
+
+// FactorEdbSeriesStepCalculateResp 批量计算响应
+type FactorEdbSeriesStepCalculateResp struct {
+	SeriesId int                                  `description:"多因子指标系列ID"`
+	Fail     []FactorEdbSeriesStepCalculateResult `description:"计算失败的指标"`
+	Success  []FactorEdbSeriesStepCalculateResult `description:"计算成功的指标"`
+}
+
+// FactorEdbSeriesStepCalculateResult 批量计算结果
+type FactorEdbSeriesStepCalculateResult struct {
+	EdbInfoId int    `description:"指标ID"`
+	EdbCode   string `description:"指标编码"`
+	Msg       string `description:"提示信息"`
+	ErrMsg    string `description:"错误信息"`
+}
+
+// FactorEdbSeriesDetail 因子指标系列-详情
+type FactorEdbSeriesDetail struct {
+	*FactorEdbSeriesItem
+	EdbMappings []*FactorEdbSeriesMappingItem
+}
+
+// FactorEdbSeriesCorrelationMatrixResp 因子指标系列-相关性矩阵响应
+type FactorEdbSeriesCorrelationMatrixResp struct {
+	Fail    []FactorEdbSeriesCorrelationMatrixItem `description:"计算失败的指标"`
+	Success []FactorEdbSeriesCorrelationMatrixItem `description:"计算成功的指标"`
+}
+
+// FactorEdbSeriesCorrelationMatrixItem 因子指标系列-相关性矩阵信息
+type FactorEdbSeriesCorrelationMatrixItem struct {
+	SeriesId     int                                      `description:"因子指标系列ID"`
+	EdbInfoId    int                                      `description:"指标ID"`
+	EdbCode      string                                   `description:"指标编码"`
+	EdbName      string                                   `description:"指标名称"`
+	Values       []FactorEdbSeriesCorrelationMatrixValues `description:"X轴和Y轴数据"`
+	Msg          string                                   `description:"提示信息"`
+	ErrMsg       string                                   `description:"错误信息"`
+	Used         bool                                     `description:"是否选中"`
+	SourceName   string                                   `description:"指标来源名称"`
+	SourceNameEn string                                   `description:"英文指标来源名称"`
+}
+
+// FactorEdbSeriesCorrelationMatrixValues 因子指标系列-相关性矩阵XY值
+type FactorEdbSeriesCorrelationMatrixValues struct {
+	XData int     `description:"X轴数据"`
+	YData float64 `description:"Y轴数据"`
+}
+
+// FactorEdbSeriesCorrelationMatrixOrder 排序规则[0 1 2 3 -1 -2 -3]
+type FactorEdbSeriesCorrelationMatrixOrder []FactorEdbSeriesCorrelationMatrixValues
+
+func (a FactorEdbSeriesCorrelationMatrixOrder) Len() int {
+	return len(a)
+}
+
+func (a FactorEdbSeriesCorrelationMatrixOrder) Swap(i, j int) {
+	a[i], a[j] = a[j], a[i]
+}
+
+func (a FactorEdbSeriesCorrelationMatrixOrder) Less(i, j int) bool {
+	// 非负数优先
+	if a[i].XData >= 0 && a[j].XData < 0 {
+		return true
+	}
+	if a[i].XData < 0 && a[j].XData >= 0 {
+		return false
+	}
+	// 非负数升序排序
+	if a[i].XData >= 0 {
+		return a[i].XData < a[j].XData
+	}
+	// 负数按绝对值的降序排序（即数值的升序）
+	return a[i].XData > a[j].XData
+}
+
+// CalculateCorrelationMatrixPars 计算相关性矩阵参数
+type CalculateCorrelationMatrixPars struct {
+	BaseEdbInfoId int               `description:"标的指标ID"`
+	SeriesIds     []int             `description:"系列IDs"`
+	Correlation   CorrelationConfig `description:"相关性配置"`
+}

models/data_manage/factor_edb_series_calculate_data.go

@@ -0,0 +1,190 @@
+package data_manage
+
+import (
+	"eta/eta_api/utils"
+	"fmt"
+	"github.com/beego/beego/v2/client/orm"
+	"strings"
+	"time"
+)
+
+// FactorEdbSeriesCalculateData 因子指标系列-指标计算数据表
+type FactorEdbSeriesCalculateData struct {
+	FactorEdbSeriesCalculateDataId int       `orm:"column(factor_edb_series_calculate_data_id);pk"`
+	FactorEdbSeriesId              int       `description:"因子指标系列ID"`
+	EdbInfoId                      int       `description:"指标ID"`
+	EdbCode                        string    `description:"指标编码"`
+	DataTime                       time.Time `description:"数据日期"`
+	Value                          float64   `description:"数据值"`
+	CreateTime                     time.Time `description:"创建时间"`
+	ModifyTime                     time.Time `description:"修改时间"`
+	DataTimestamp                  int64     `description:"数据日期时间戳"`
+}
+
+func (m *FactorEdbSeriesCalculateData) TableName() string {
+	return "factor_edb_series_calculate_data"
+}
+
+type FactorEdbSeriesCalculateDataCols struct {
+	PrimaryId         string
+	FactorEdbSeriesId string
+	EdbInfoId         string
+	EdbCode           string
+	DataTime          string
+	Value             string
+	CreateTime        string
+	ModifyTime        string
+	DataTimestamp     string
+}
+
+func (m *FactorEdbSeriesCalculateData) Cols() FactorEdbSeriesCalculateDataCols {
+	return FactorEdbSeriesCalculateDataCols{
+		PrimaryId:         "factor_edb_series_calculate_data_id",
+		FactorEdbSeriesId: "factor_edb_series_id",
+		EdbInfoId:         "edb_info_id",
+		EdbCode:           "edb_code",
+		DataTime:          "data_time",
+		Value:             "value",
+		CreateTime:        "create_time",
+		ModifyTime:        "modify_time",
+		DataTimestamp:     "data_timestamp",
+	}
+}
+
+func (m *FactorEdbSeriesCalculateData) Create() (err error) {
+	o := orm.NewOrmUsingDB("data")
+	id, err := o.Insert(m)
+	if err != nil {
+		return
+	}
+	m.FactorEdbSeriesCalculateDataId = int(id)
+	return
+}
+
+func (m *FactorEdbSeriesCalculateData) CreateMulti(items []*FactorEdbSeriesCalculateData) (err error) {
+	if len(items) == 0 {
+		return
+	}
+	o := orm.NewOrmUsingDB("data")
+	_, err = o.InsertMulti(500, items)
+	return
+}
+
+func (m *FactorEdbSeriesCalculateData) Update(cols []string) (err error) {
+	o := orm.NewOrmUsingDB("data")
+	_, err = o.Update(m, cols...)
+	return
+}
+
+func (m *FactorEdbSeriesCalculateData) Remove() (err error) {
+	o := orm.NewOrmUsingDB("data")
+	sql := fmt.Sprintf(`DELETE FROM %s WHERE %s = ? LIMIT 1`, m.TableName(), m.Cols().PrimaryId)
+	_, err = o.Raw(sql, m.FactorEdbSeriesCalculateDataId).Exec()
+	return
+}
+
+func (m *FactorEdbSeriesCalculateData) MultiRemove(ids []int) (err error) {
+	if len(ids) == 0 {
+		return
+	}
+	o := orm.NewOrmUsingDB("data")
+	sql := fmt.Sprintf(`DELETE FROM %s WHERE %s IN (%s)`, m.TableName(), m.Cols().PrimaryId, utils.GetOrmInReplace(len(ids)))
+	_, err = o.Raw(sql, ids).Exec()
+	return
+}
+
+func (m *FactorEdbSeriesCalculateData) RemoveByCondition(condition string, pars []interface{}) (err error) {
+	if condition == "" {
+		return
+	}
+	o := orm.NewOrmUsingDB("data")
+	sql := fmt.Sprintf(`DELETE FROM %s WHERE %s`, m.TableName(), condition)
+	_, err = o.Raw(sql, pars).Exec()
+	return
+}
+
+func (m *FactorEdbSeriesCalculateData) GetItemById(id int) (item *FactorEdbSeriesCalculateData, err error) {
+	o := orm.NewOrmUsingDB("data")
+	sql := fmt.Sprintf(`SELECT * FROM %s WHERE %s = ? LIMIT 1`, m.TableName(), m.Cols().PrimaryId)
+	err = o.Raw(sql, id).QueryRow(&item)
+	return
+}
+
+func (m *FactorEdbSeriesCalculateData) GetItemByCondition(condition string, pars []interface{}, orderRule string) (item *FactorEdbSeriesCalculateData, err error) {
+	o := orm.NewOrmUsingDB("data")
+	order := ``
+	if orderRule != "" {
+		order = ` ORDER BY ` + orderRule
+	}
+	sql := fmt.Sprintf(`SELECT * FROM %s WHERE 1=1 %s %s LIMIT 1`, m.TableName(), condition, order)
+	err = o.Raw(sql, pars).QueryRow(&item)
+	return
+}
+
+func (m *FactorEdbSeriesCalculateData) GetCountByCondition(condition string, pars []interface{}) (count int, err error) {
+	o := orm.NewOrmUsingDB("data")
+	sql := fmt.Sprintf(`SELECT COUNT(1) FROM %s WHERE 1=1 %s`, m.TableName(), condition)
+	err = o.Raw(sql, pars).QueryRow(&count)
+	return
+}
+
+func (m *FactorEdbSeriesCalculateData) GetItemsByCondition(condition string, pars []interface{}, fieldArr []string, orderRule string) (items []*FactorEdbSeriesCalculateData, err error) {
+	o := orm.NewOrmUsingDB("data")
+	fields := strings.Join(fieldArr, ",")
+	if len(fieldArr) == 0 {
+		fields = `*`
+	}
+	order := fmt.Sprintf(`ORDER BY %s DESC`, m.Cols().CreateTime)
+	if orderRule != "" {
+		order = ` ORDER BY ` + orderRule
+	}
+	sql := fmt.Sprintf(`SELECT %s FROM %s WHERE 1=1 %s %s`, fields, m.TableName(), condition, order)
+	_, err = o.Raw(sql, pars).QueryRows(&items)
+	return
+}
+
+func (m *FactorEdbSeriesCalculateData) GetPageItemsByCondition(condition string, pars []interface{}, fieldArr []string, orderRule string, startSize, pageSize int) (items []*FactorEdbSeriesCalculateData, err error) {
+	o := orm.NewOrmUsingDB("data")
+	fields := strings.Join(fieldArr, ",")
+	if len(fieldArr) == 0 {
+		fields = `*`
+	}
+	order := fmt.Sprintf(`ORDER BY %s DESC`, m.Cols().CreateTime)
+	if orderRule != "" {
+		order = ` ORDER BY ` + orderRule
+	}
+	sql := fmt.Sprintf(`SELECT %s FROM %s WHERE 1=1 %s %s LIMIT ?,?`, fields, m.TableName(), condition, order)
+	_, err = o.Raw(sql, pars, startSize, pageSize).QueryRows(&items)
+	return
+}
+
+// FactorEdbSeriesCalculateDataItem 因子指标系列-计算数据信息
+type FactorEdbSeriesCalculateDataItem struct {
+	DataId            int     `description:"数据ID"`
+	FactorEdbSeriesId int     `description:"因子指标系列ID"`
+	EdbInfoId         int     `description:"指标ID"`
+	EdbCode           string  `description:"指标编码"`
+	DataTime          string  `description:"数据日期"`
+	Value             float64 `description:"数据值"`
+}
+
+func (m *FactorEdbSeriesCalculateData) Format2Item() (item *FactorEdbSeriesCalculateDataItem) {
+	item = new(FactorEdbSeriesCalculateDataItem)
+	item.DataId = m.FactorEdbSeriesCalculateDataId
+	item.FactorEdbSeriesId = m.FactorEdbSeriesId
+	item.EdbInfoId = m.EdbInfoId
+	item.EdbCode = m.EdbCode
+	return
+}
+
+// TransEdbSeriesCalculateData2EdbDataList 转换数据格式
+func TransEdbSeriesCalculateData2EdbDataList(items []*FactorEdbSeriesCalculateData) (list []*EdbDataList) {
+	list = make([]*EdbDataList, 0)
+	for _, v := range items {
+		list = append(list, &EdbDataList{
+			DataTime: v.DataTime.Format(utils.FormatDate),
+			Value:    v.Value,
+		})
+	}
+	return
+}

models/data_manage/factor_edb_series_calculate_func.go

@@ -0,0 +1,153 @@
+package data_manage
+
+import (
+	"eta/eta_api/utils"
+	"fmt"
+	"github.com/beego/beego/v2/client/orm"
+	"strings"
+	"time"
+)
+
+// FactorEdbSeriesCalculateFunc 多因子系列-计算方式表
+type FactorEdbSeriesCalculateFunc struct {
+	FactorEdbSeriesCalculateFuncId int       `orm:"column(factor_edb_series_calculate_func_id);pk"`
+	CalculateName                  string    `description:"计算方式名称"`
+	Source                         int       `description:"计算方式来源"`
+	EdbInfoType                    int       `description:"指标计算类型：0-普通指标；1-预测指标"`
+	CreateTime                     time.Time `description:"创建时间"`
+	ModifyTime                     time.Time `description:"修改时间"`
+}
+
+func (m *FactorEdbSeriesCalculateFunc) TableName() string {
+	return "factor_edb_series_calculate_func"
+}
+
+type FactorEdbSeriesCalculateFuncCols struct {
+	PrimaryId     string
+	CalculateName string
+	Source        string
+	EdbInfoType   string
+	CreateTime    string
+	ModifyTime    string
+}
+
+func (m *FactorEdbSeriesCalculateFunc) Cols() FactorEdbSeriesCalculateFuncCols {
+	return FactorEdbSeriesCalculateFuncCols{
+		PrimaryId:     "factor_edb_series_calculate_func_id",
+		CalculateName: "calculate_name",
+		Source:        "source",
+		EdbInfoType:   "edb_info_type",
+		CreateTime:    "create_time",
+		ModifyTime:    "modify_time",
+	}
+}
+
+func (m *FactorEdbSeriesCalculateFunc) Create() (err error) {
+	o := orm.NewOrmUsingDB("data")
+	id, err := o.Insert(m)
+	if err != nil {
+		return
+	}
+	m.FactorEdbSeriesCalculateFuncId = int(id)
+	return
+}
+
+func (m *FactorEdbSeriesCalculateFunc) CreateMulti(items []*FactorEdbSeriesCalculateFunc) (err error) {
+	if len(items) == 0 {
+		return
+	}
+	o := orm.NewOrmUsingDB("data")
+	_, err = o.InsertMulti(len(items), items)
+	return
+}
+
+func (m *FactorEdbSeriesCalculateFunc) Update(cols []string) (err error) {
+	o := orm.NewOrmUsingDB("data")
+	_, err = o.Update(m, cols...)
+	return
+}
+
+func (m *FactorEdbSeriesCalculateFunc) Remove() (err error) {
+	o := orm.NewOrmUsingDB("data")
+	sql := fmt.Sprintf(`DELETE FROM %s WHERE %s = ? LIMIT 1`, m.TableName(), m.Cols().PrimaryId)
+	_, err = o.Raw(sql, m.FactorEdbSeriesCalculateFuncId).Exec()
+	return
+}
+
+func (m *FactorEdbSeriesCalculateFunc) MultiRemove(ids []int) (err error) {
+	if len(ids) == 0 {
+		return
+	}
+	o := orm.NewOrmUsingDB("data")
+	sql := fmt.Sprintf(`DELETE FROM %s WHERE %s IN (%s)`, m.TableName(), m.Cols().PrimaryId, utils.GetOrmInReplace(len(ids)))
+	_, err = o.Raw(sql, ids).Exec()
+	return
+}
+
+func (m *FactorEdbSeriesCalculateFunc) GetItemById(id int) (item *FactorEdbSeriesCalculateFunc, err error) {
+	o := orm.NewOrmUsingDB("data")
+	sql := fmt.Sprintf(`SELECT * FROM %s WHERE %s = ? LIMIT 1`, m.TableName(), m.Cols().PrimaryId)
+	err = o.Raw(sql, id).QueryRow(&item)
+	return
+}
+
+func (m *FactorEdbSeriesCalculateFunc) GetItemByCondition(condition string, pars []interface{}, orderRule string) (item *FactorEdbSeriesCalculateFunc, err error) {
+	o := orm.NewOrmUsingDB("data")
+	order := ``
+	if orderRule != "" {
+		order = ` ORDER BY ` + orderRule
+	}
+	sql := fmt.Sprintf(`SELECT * FROM %s WHERE 1=1 %s %s LIMIT 1`, m.TableName(), condition, order)
+	err = o.Raw(sql, pars).QueryRow(&item)
+	return
+}
+
+func (m *FactorEdbSeriesCalculateFunc) GetCountByCondition(condition string, pars []interface{}) (count int, err error) {
+	o := orm.NewOrmUsingDB("data")
+	sql := fmt.Sprintf(`SELECT COUNT(1) FROM %s WHERE 1=1 %s`, m.TableName(), condition)
+	err = o.Raw(sql, pars).QueryRow(&count)
+	return
+}
+
+func (m *FactorEdbSeriesCalculateFunc) GetItemsByCondition(condition string, pars []interface{}, fieldArr []string, orderRule string) (items []*FactorEdbSeriesCalculateFunc, err error) {
+	o := orm.NewOrmUsingDB("data")
+	fields := strings.Join(fieldArr, ",")
+	if len(fieldArr) == 0 {
+		fields = `*`
+	}
+	order := fmt.Sprintf(`ORDER BY %s DESC`, m.Cols().CreateTime)
+	if orderRule != "" {
+		order = ` ORDER BY ` + orderRule
+	}
+	sql := fmt.Sprintf(`SELECT %s FROM %s WHERE 1=1 %s %s`, fields, m.TableName(), condition, order)
+	_, err = o.Raw(sql, pars).QueryRows(&items)
+	return
+}
+
+func (m *FactorEdbSeriesCalculateFunc) GetPageItemsByCondition(condition string, pars []interface{}, fieldArr []string, orderRule string, startSize, pageSize int) (items []*FactorEdbSeriesCalculateFunc, err error) {
+	o := orm.NewOrmUsingDB("data")
+	fields := strings.Join(fieldArr, ",")
+	if len(fieldArr) == 0 {
+		fields = `*`
+	}
+	order := fmt.Sprintf(`ORDER BY %s DESC`, m.Cols().CreateTime)
+	if orderRule != "" {
+		order = ` ORDER BY ` + orderRule
+	}
+	sql := fmt.Sprintf(`SELECT %s FROM %s WHERE 1=1 %s %s LIMIT ?,?`, fields, m.TableName(), condition, order)
+	_, err = o.Raw(sql, pars, startSize, pageSize).QueryRows(&items)
+	return
+}
+
+// FactorEdbSeriesCalculateFuncItem 多因子系列-计算方式
+type FactorEdbSeriesCalculateFuncItem struct {
+	CalculateName string `description:"计算方式名称"`
+	Source        int    `description:"计算方式来源"`
+}
+
+func (m *FactorEdbSeriesCalculateFunc) Format2Item() (item *FactorEdbSeriesCalculateFuncItem) {
+	item = new(FactorEdbSeriesCalculateFuncItem)
+	item.CalculateName = m.CalculateName
+	item.Source = m.Source
+	return
+}

models/data_manage/factor_edb_series_chart_mapping.go

@@ -0,0 +1,221 @@
+package data_manage
+
+import (
+	"eta/eta_api/utils"
+	"fmt"
+	"github.com/beego/beego/v2/client/orm"
+	"strings"
+	"time"
+)
+
+const (
+	FactorEdbSeriesChartCalculateTypeCorrelation = 1 // 相关性计算
+)
+
+// FactorEdbSeriesChartMapping 因子指标系列-图表关联
+type FactorEdbSeriesChartMapping struct {
+	FactorEdbSeriesChartMappingId int       `orm:"column(factor_edb_series_chart_mapping_id);pk"`
+	ChartInfoId                   int       `description:"图表ID"`
+	Source                        int       `description:"图表来源, 同chart_info表source"`
+	CalculateType                 int       `description:"计算方式: 1-相关性"`
+	CalculatePars                 string    `description:"计算参数-JSON(如计算窗口等)"`
+	CalculateData                 string    `description:"计算数据-JSON(如相关性矩阵等)"`
+	FactorEdbSeriesId             int       `description:"因子指标系列ID"`
+	EdbInfoId                     int       `description:"指标ID"`
+	EdbUsed                       int       `description:"指标是否使用: 0-否; 1-是"`
+	CreateTime                    time.Time `description:"创建时间"`
+	ModifyTime                    time.Time `description:"修改时间"`
+}
+
+func (m *FactorEdbSeriesChartMapping) TableName() string {
+	return "factor_edb_series_chart_mapping"
+}
+
+type MultipleFactorSeriesChartMappingCols struct {
+	PrimaryId         string
+	ChartInfoId       string
+	Source            string
+	CalculateType     string
+	CalculatePars     string
+	CalculateData     string
+	FactorEdbSeriesId string
+	EdbInfoId         string
+	EdbUsed           string
+	CreateTime        string
+	ModifyTime        string
+}
+
+func (m *FactorEdbSeriesChartMapping) Cols() MultipleFactorSeriesChartMappingCols {
+	return MultipleFactorSeriesChartMappingCols{
+		PrimaryId:         "factor_edb_series_chart_mapping_id",
+		ChartInfoId:       "chart_info_id",
+		Source:            "source",
+		CalculateType:     "calculate_type",
+		CalculatePars:     "calculate_pars",
+		CalculateData:     "calculate_data",
+		FactorEdbSeriesId: "factor_edb_series_id",
+		EdbInfoId:         "edb_info_id",
+		EdbUsed:           "edb_used",
+		CreateTime:        "create_time",
+		ModifyTime:        "modify_time",
+	}
+}
+
+func (m *FactorEdbSeriesChartMapping) Create() (err error) {
+	o := orm.NewOrmUsingDB("data")
+	id, err := o.Insert(m)
+	if err != nil {
+		return
+	}
+	m.FactorEdbSeriesChartMappingId = int(id)
+	return
+}
+
+func (m *FactorEdbSeriesChartMapping) CreateMulti(items []*FactorEdbSeriesChartMapping) (err error) {
+	if len(items) == 0 {
+		return
+	}
+	o := orm.NewOrmUsingDB("data")
+	_, err = o.InsertMulti(len(items), items)
+	return
+}
+
+func (m *FactorEdbSeriesChartMapping) Update(cols []string) (err error) {
+	o := orm.NewOrmUsingDB("data")
+	_, err = o.Update(m, cols...)
+	return
+}
+
+func (m *FactorEdbSeriesChartMapping) Remove() (err error) {
+	o := orm.NewOrmUsingDB("data")
+	sql := fmt.Sprintf(`DELETE FROM %s WHERE %s = ? LIMIT 1`, m.TableName(), m.Cols().PrimaryId)
+	_, err = o.Raw(sql, m.FactorEdbSeriesChartMappingId).Exec()
+	return
+}
+
+func (m *FactorEdbSeriesChartMapping) MultiRemove(ids []int) (err error) {
+	if len(ids) == 0 {
+		return
+	}
+	o := orm.NewOrmUsingDB("data")
+	sql := fmt.Sprintf(`DELETE FROM %s WHERE %s IN (%s)`, m.TableName(), m.Cols().PrimaryId, utils.GetOrmInReplace(len(ids)))
+	_, err = o.Raw(sql, ids).Exec()
+	return
+}
+
+func (m *FactorEdbSeriesChartMapping) RemoveByCondition(condition string, pars []interface{}) (err error) {
+	if condition == "" {
+		return
+	}
+	o := orm.NewOrmUsingDB("data")
+	sql := fmt.Sprintf(`DELETE FROM %s WHERE %s`, m.TableName(), condition)
+	_, err = o.Raw(sql, pars).Exec()
+	return
+}
+
+func (m *FactorEdbSeriesChartMapping) GetItemById(id int) (item *FactorEdbSeriesChartMapping, err error) {
+	o := orm.NewOrmUsingDB("data")
+	sql := fmt.Sprintf(`SELECT * FROM %s WHERE %s = ? LIMIT 1`, m.TableName(), m.Cols().PrimaryId)
+	err = o.Raw(sql, id).QueryRow(&item)
+	return
+}
+
+func (m *FactorEdbSeriesChartMapping) GetItemByCondition(condition string, pars []interface{}, orderRule string) (item *FactorEdbSeriesChartMapping, err error) {
+	o := orm.NewOrmUsingDB("data")
+	order := ``
+	if orderRule != "" {
+		order = ` ORDER BY ` + orderRule
+	}
+	sql := fmt.Sprintf(`SELECT * FROM %s WHERE 1=1 %s %s LIMIT 1`, m.TableName(), condition, order)
+	err = o.Raw(sql, pars).QueryRow(&item)
+	return
+}
+
+func (m *FactorEdbSeriesChartMapping) GetCountByCondition(condition string, pars []interface{}) (count int, err error) {
+	o := orm.NewOrmUsingDB("data")
+	sql := fmt.Sprintf(`SELECT COUNT(1) FROM %s WHERE 1=1 %s`, m.TableName(), condition)
+	err = o.Raw(sql, pars).QueryRow(&count)
+	return
+}
+
+func (m *FactorEdbSeriesChartMapping) GetItemsByCondition(condition string, pars []interface{}, fieldArr []string, orderRule string) (items []*FactorEdbSeriesChartMapping, err error) {
+	o := orm.NewOrmUsingDB("data")
+	fields := strings.Join(fieldArr, ",")
+	if len(fieldArr) == 0 {
+		fields = `*`
+	}
+	order := fmt.Sprintf(`ORDER BY %s DESC`, m.Cols().CreateTime)
+	if orderRule != "" {
+		order = ` ORDER BY ` + orderRule
+	}
+	sql := fmt.Sprintf(`SELECT %s FROM %s WHERE 1=1 %s %s`, fields, m.TableName(), condition, order)
+	_, err = o.Raw(sql, pars).QueryRows(&items)
+	return
+}
+
+func (m *FactorEdbSeriesChartMapping) GetPageItemsByCondition(condition string, pars []interface{}, fieldArr []string, orderRule string, startSize, pageSize int) (items []*FactorEdbSeriesChartMapping, err error) {
+	o := orm.NewOrmUsingDB("data")
+	fields := strings.Join(fieldArr, ",")
+	if len(fieldArr) == 0 {
+		fields = `*`
+	}
+	order := fmt.Sprintf(`ORDER BY %s DESC`, m.Cols().CreateTime)
+	if orderRule != "" {
+		order = ` ORDER BY ` + orderRule
+	}
+	sql := fmt.Sprintf(`SELECT %s FROM %s WHERE 1=1 %s %s LIMIT ?,?`, fields, m.TableName(), condition, order)
+	_, err = o.Raw(sql, pars, startSize, pageSize).QueryRows(&items)
+	return
+}
+
+// GetDistinctSeriesIdByChartId 获取图表关联的系列ID
+func (m *FactorEdbSeriesChartMapping) GetDistinctSeriesIdByChartId(chartId int) (seriesIds []int, err error) {
+	o := orm.NewOrmUsingDB("data")
+	sql := fmt.Sprintf(`SELECT DISTINCT %s FROM %s WHERE %s = ?`, m.Cols().FactorEdbSeriesId, m.TableName(), m.Cols().ChartInfoId)
+	_, err = o.Raw(sql, chartId).QueryRows(&seriesIds)
+	return
+}
+
+// ClearAndCreateMapping 新增图表关联
+func (m *FactorEdbSeriesChartMapping) ClearAndCreateMapping(seriesIds []int, mappings []*FactorEdbSeriesChartMapping) (err error) {
+	o := orm.NewOrmUsingDB("data")
+	tx, e := o.Begin()
+	if e != nil {
+		err = fmt.Errorf("orm begin err: %v", e)
+		return
+	}
+	defer func() {
+		if err != nil {
+			_ = tx.Rollback()
+			return
+		}
+		_ = tx.Commit()
+	}()
+
+	if len(seriesIds) > 0 {
+		sql := fmt.Sprintf(`DELETE FROM %s WHERE %s IN (%s) AND %s = 0`, m.TableName(), m.Cols().FactorEdbSeriesId, utils.GetOrmInReplace(len(seriesIds)), m.Cols().ChartInfoId)
+		_, e = tx.Raw(sql, seriesIds).Exec()
+		if e != nil {
+			err = fmt.Errorf("remove chart mapping err: %v", e)
+			return
+		}
+	}
+
+	if len(mappings) > 0 {
+		_, e = tx.InsertMulti(200, mappings)
+		if e != nil {
+			err = fmt.Errorf("insert multi mapping err: %v", e)
+			return
+		}
+	}
+	return
+}
+
+// FactorEdbSeriesChartCalculateCorrelationReq 图表相关性计算参数
+type FactorEdbSeriesChartCalculateCorrelationReq struct {
+	BaseEdbInfoId  int    `description:"标的指标ID"`
+	LeadValue      int    `description:"领先期数"`
+	LeadUnit       string `description:"频度"`
+	CalculateValue int    `description:"计算窗口"`
+	CalculateUnit  string `description:"计算频度"`
+}

models/data_manage/factor_edb_series_mapping.go

@@ -0,0 +1,167 @@
+package data_manage
+
+import (
+	"eta/eta_api/utils"
+	"fmt"
+	"github.com/beego/beego/v2/client/orm"
+	"strings"
+	"time"
+)
+
+// FactorEdbSeriesMapping 因子指标系列-指标关联表
+type FactorEdbSeriesMapping struct {
+	FactorEdbSeriesMappingId int       `orm:"column(factor_edb_series_mapping_id);pk"`
+	FactorEdbSeriesId        int       `description:"因子指标系列ID"`
+	EdbInfoId                int       `description:"指标ID"`
+	EdbCode                  string    `description:"指标编码"`
+	CreateTime               time.Time `description:"创建时间"`
+	ModifyTime               time.Time `description:"修改时间"`
+}
+
+func (m *FactorEdbSeriesMapping) TableName() string {
+	return "factor_edb_series_mapping"
+}
+
+type FactorEdbSeriesMappingCols struct {
+	PrimaryId         string
+	FactorEdbSeriesId string
+	EdbInfoId         string
+	EdbCode           string
+	CreateTime        string
+	ModifyTime        string
+}
+
+func (m *FactorEdbSeriesMapping) Cols() FactorEdbSeriesMappingCols {
+	return FactorEdbSeriesMappingCols{
+		PrimaryId:         "factor_edb_series_mapping_id",
+		FactorEdbSeriesId: "factor_edb_series_id",
+		EdbInfoId:         "edb_info_id",
+		EdbCode:           "edb_code",
+		CreateTime:        "create_time",
+		ModifyTime:        "modify_time",
+	}
+}
+
+func (m *FactorEdbSeriesMapping) Create() (err error) {
+	o := orm.NewOrmUsingDB("data")
+	id, err := o.Insert(m)
+	if err != nil {
+		return
+	}
+	m.FactorEdbSeriesMappingId = int(id)
+	return
+}
+
+func (m *FactorEdbSeriesMapping) CreateMulti(items []*FactorEdbSeriesMapping) (err error) {
+	if len(items) == 0 {
+		return
+	}
+	o := orm.NewOrmUsingDB("data")
+	_, err = o.InsertMulti(len(items), items)
+	return
+}
+
+func (m *FactorEdbSeriesMapping) Update(cols []string) (err error) {
+	o := orm.NewOrmUsingDB("data")
+	_, err = o.Update(m, cols...)
+	return
+}
+
+func (m *FactorEdbSeriesMapping) Remove() (err error) {
+	o := orm.NewOrmUsingDB("data")
+	sql := fmt.Sprintf(`DELETE FROM %s WHERE %s = ? LIMIT 1`, m.TableName(), m.Cols().PrimaryId)
+	_, err = o.Raw(sql, m.FactorEdbSeriesMappingId).Exec()
+	return
+}
+
+func (m *FactorEdbSeriesMapping) MultiRemove(ids []int) (err error) {
+	if len(ids) == 0 {
+		return
+	}
+	o := orm.NewOrmUsingDB("data")
+	sql := fmt.Sprintf(`DELETE FROM %s WHERE %s IN (%s)`, m.TableName(), m.Cols().PrimaryId, utils.GetOrmInReplace(len(ids)))
+	_, err = o.Raw(sql, ids).Exec()
+	return
+}
+
+func (m *FactorEdbSeriesMapping) RemoveByCondition(condition string, pars []interface{}) (err error) {
+	if condition == "" {
+		return
+	}
+	o := orm.NewOrmUsingDB("data")
+	sql := fmt.Sprintf(`DELETE FROM %s WHERE %s`, m.TableName(), condition)
+	_, err = o.Raw(sql, pars).Exec()
+	return
+}
+
+func (m *FactorEdbSeriesMapping) GetItemById(id int) (item *FactorEdbSeriesMapping, err error) {
+	o := orm.NewOrmUsingDB("data")
+	sql := fmt.Sprintf(`SELECT * FROM %s WHERE %s = ? LIMIT 1`, m.TableName(), m.Cols().PrimaryId)
+	err = o.Raw(sql, id).QueryRow(&item)
+	return
+}
+
+func (m *FactorEdbSeriesMapping) GetItemByCondition(condition string, pars []interface{}, orderRule string) (item *FactorEdbSeriesMapping, err error) {
+	o := orm.NewOrmUsingDB("data")
+	order := ``
+	if orderRule != "" {
+		order = ` ORDER BY ` + orderRule
+	}
+	sql := fmt.Sprintf(`SELECT * FROM %s WHERE 1=1 %s %s LIMIT 1`, m.TableName(), condition, order)
+	err = o.Raw(sql, pars).QueryRow(&item)
+	return
+}
+
+func (m *FactorEdbSeriesMapping) GetCountByCondition(condition string, pars []interface{}) (count int, err error) {
+	o := orm.NewOrmUsingDB("data")
+	sql := fmt.Sprintf(`SELECT COUNT(1) FROM %s WHERE 1=1 %s`, m.TableName(), condition)
+	err = o.Raw(sql, pars).QueryRow(&count)
+	return
+}
+
+func (m *FactorEdbSeriesMapping) GetItemsByCondition(condition string, pars []interface{}, fieldArr []string, orderRule string) (items []*FactorEdbSeriesMapping, err error) {
+	o := orm.NewOrmUsingDB("data")
+	fields := strings.Join(fieldArr, ",")
+	if len(fieldArr) == 0 {
+		fields = `*`
+	}
+	order := fmt.Sprintf(`ORDER BY %s DESC`, m.Cols().CreateTime)
+	if orderRule != "" {
+		order = ` ORDER BY ` + orderRule
+	}
+	sql := fmt.Sprintf(`SELECT %s FROM %s WHERE 1=1 %s %s`, fields, m.TableName(), condition, order)
+	_, err = o.Raw(sql, pars).QueryRows(&items)
+	return
+}
+
+func (m *FactorEdbSeriesMapping) GetPageItemsByCondition(condition string, pars []interface{}, fieldArr []string, orderRule string, startSize, pageSize int) (items []*FactorEdbSeriesMapping, err error) {
+	o := orm.NewOrmUsingDB("data")
+	fields := strings.Join(fieldArr, ",")
+	if len(fieldArr) == 0 {
+		fields = `*`
+	}
+	order := fmt.Sprintf(`ORDER BY %s DESC`, m.Cols().CreateTime)
+	if orderRule != "" {
+		order = ` ORDER BY ` + orderRule
+	}
+	sql := fmt.Sprintf(`SELECT %s FROM %s WHERE 1=1 %s %s LIMIT ?,?`, fields, m.TableName(), condition, order)
+	_, err = o.Raw(sql, pars, startSize, pageSize).QueryRows(&items)
+	return
+}
+
+// FactorEdbSeriesMappingItem 因子指标系列-指标关联信息
+type FactorEdbSeriesMappingItem struct {
+	SeriesId  int    `description:"因子指标系列ID"`
+	EdbInfoId int    `description:"指标ID"`
+	EdbCode   string `description:"指标编码"`
+	EdbName   string `description:"指标名称"`
+	EdbNameEn string `description:"指标名称-英文"`
+}
+
+func (m *FactorEdbSeriesMapping) Format2Item() (item *FactorEdbSeriesMappingItem) {
+	item = new(FactorEdbSeriesMappingItem)
+	item.SeriesId = m.FactorEdbSeriesId
+	item.EdbInfoId = m.EdbInfoId
+	item.EdbCode = m.EdbCode
+	return
+}

models/data_manage/request/factor_edb_series.go

@@ -0,0 +1,25 @@
+package request
+
+import "eta/eta_api/models/data_manage"
+
+// AddFactorEdbSeriesReq 新增因子指标系列
+type AddFactorEdbSeriesReq struct {
+	SeriesName  string                                     `description:"系列名称"`
+	EdbInfoType int                                        `description:"指标类型: 0-普通指标; 1-预测指标"`
+	Calculates  []data_manage.FactorEdbSeriesCalculatePars `description:"多步骤计算方式"`
+	EdbInfoIds  []int                                      `description:"指标IDs"`
+}
+
+// EditFactorEdbSeriesReq 编辑因子指标系列
+type EditFactorEdbSeriesReq struct {
+	SeriesId int `description:"系列ID"`
+	AddFactorEdbSeriesReq
+	Recalculate bool `description:"是否需要重新计算"`
+}
+
+// FactorEdbSeriesCorrelationMatrixReq 因子指标系列-相关性矩阵
+type FactorEdbSeriesCorrelationMatrixReq struct {
+	BaseEdbInfoId int                           `description:"标的指标ID"`
+	SeriesIds     []int                         `description:"因子指标系列IDs"`
+	Correlation   data_manage.CorrelationConfig `description:"相关性配置"`
+}

models/data_manage/request/multiple_graph_config.go

@@ -14,16 +14,18 @@ type SaveMultipleGraphConfigReq struct {
 
 // SaveMultipleGraphChartReq 多图配置的单图保存请求
 type SaveMultipleGraphChartReq struct {
-	Source                int                                    `description:"来源,1:曲线图，2：相关性图；3：滚动相关性图1；4：滚动相关性图2；"`
-	ChartName             string                                 `description:"图表名称"`
-	ClassifyId            int                                    `description:"分类id"`
-	MultipleGraphConfigId int                                    `description:"配置id"`
-	EdbInfoIdA            int                                    `description:"指标A"`
-	EdbInfoIdB            int                                    `description:"指标B"`
-	Curve                 data_manage.CurveConfig                `description:"曲线图配置"`
-	Correlation           data_manage.CorrelationConfig          `description:"相关性配置"`
-	RollingCorrelation    []data_manage.RollingCorrelationConfig `description:"滚动相关性配置"`
-	IsSaveAs              bool                                   `description:"是否另存为，true的话，就是另存为，不会建立与配置的关系"`
+	Source                 int                                          `description:"来源,1:曲线图，2：相关性图；3：滚动相关性图1；4：滚动相关性图2；"`
+	ChartName              string                                       `description:"图表名称"`
+	ClassifyId             int                                          `description:"分类id"`
+	MultipleGraphConfigId  int                                          `description:"配置id"`
+	EdbInfoIdA             int                                          `description:"指标A"`
+	EdbInfoIdB             int                                          `description:"指标B"`
+	Curve                  data_manage.CurveConfig                      `description:"曲线图配置"`
+	Correlation            data_manage.CorrelationConfig                `description:"相关性配置"`
+	RollingCorrelation     []data_manage.RollingCorrelationConfig       `description:"滚动相关性配置"`
+	IsSaveAs               bool                                         `description:"是否另存为，true的话，就是另存为，不会建立与配置的关系"`
+	CorrelationExtraConfig *data_manage.CorrelationChartInfoExtraConfig `description:"普通相关性图表额外设置(含图例)"`
+	SourcesFrom            *data_manage.ChartInfoSourcesFrom            `description:"图表来源"`
 }
 
 // SaveMultipleGraphEdbReq 多图配置的单指标保存请求

models/data_manage/response/multiple_graph_config.go

@@ -37,11 +37,15 @@ type MultipleGraphConfigDetailResp struct {
 	ChartMappingList    []MultipleGraphConfigChartMapping `description:"关联图表"`
 	EdbMappingList      []MultipleGraphConfigEdbMapping   `description:"关联指标"`
 }
+
 type MultipleGraphConfigChartMapping struct {
-	ChartInfoId            int `description:"图表id"`
-	Source                 int `description:"来源,1:曲线图，2：相关性图；3：滚动相关性图1；4：滚动相关性图2；"`
-	MultipleLocationSource int `description:"来源,1:曲线图，2：相关性图；3：滚动相关性图1；4：滚动相关性图2；"`
+	ChartInfoId            int    `description:"图表id"`
+	Source                 int    `description:"来源,1:曲线图，2：相关性图；3：滚动相关性图1；4：滚动相关性图2；"`
+	MultipleLocationSource int    `description:"来源,1:曲线图，2：相关性图；3：滚动相关性图1；4：滚动相关性图2；"`
+	CorrelationExtraConfig string `description:"普通相关性图表额外设置(含图例)-JSON字符串"`
+	SourcesFrom            string `description:"图表来源-JSON字符串"`
 }
+
 type MultipleGraphConfigEdbMapping struct {
 	EdbInfoId              int `description:"图表id"`
 	Source                 int `description:"来源,1:曲线图，2：相关性图；3：滚动相关性图1；4：滚动相关性图2；"`

models/db.go

@@ -198,6 +198,9 @@ func init() {
 	// 初始化外汇日历
 	initFeCalendar()
 
+	// 初始化因子指标系列
+	initFactorEdbSeries()
+
 	// 初始化部分数据表变量(直接init会有顺序问题=_=!)
 	data_manage.InitEdbSourceVar()
 }
@@ -599,3 +602,13 @@ func initFeCalendar() {
 		new(fe_calendar.FeCalendarMatter), // 事项表
 	)
 }
+
+// initFactorEdbSeries 因子指标系列数据表
+func initFactorEdbSeries() {
+	orm.RegisterModel(
+		new(data_manage.FactorEdbSeries),              // 因子指标系列
+		new(data_manage.FactorEdbSeriesChartMapping),  // 因子指标系列-图表关联
+		new(data_manage.FactorEdbSeriesMapping),       // 因子指标系列-指标计算数据
+		new(data_manage.FactorEdbSeriesCalculateData), // 因子指标系列-指标关联
+	)
+}

routers/commentsRouter.go

@@ -133,6 +133,15 @@ func init() {
             Filters: nil,
             Params: nil})
 
+    beego.GlobalControllerRouter["eta/eta_api/controllers/data_manage/correlation:CorrelationChartClassifyController"] = append(beego.GlobalControllerRouter["eta/eta_api/controllers/data_manage/correlation:CorrelationChartClassifyController"],
+        beego.ControllerComments{
+            Method: "ClassifyTree",
+            Router: `/chart_classify/tree`,
+            AllowHTTPMethods: []string{"get"},
+            MethodParams: param.Make(),
+            Filters: nil,
+            Params: nil})
+
     beego.GlobalControllerRouter["eta/eta_api/controllers/data_manage/correlation:CorrelationChartInfoController"] = append(beego.GlobalControllerRouter["eta/eta_api/controllers/data_manage/correlation:CorrelationChartInfoController"],
         beego.ControllerComments{
             Method: "Add",
@@ -214,6 +223,33 @@ func init() {
             Filters: nil,
             Params: nil})
 
+    beego.GlobalControllerRouter["eta/eta_api/controllers/data_manage/correlation:CorrelationChartInfoController"] = append(beego.GlobalControllerRouter["eta/eta_api/controllers/data_manage/correlation:CorrelationChartInfoController"],
+        beego.ControllerComments{
+            Method: "MultiFactorAdd",
+            Router: `/chart_info/multi_factor/add`,
+            AllowHTTPMethods: []string{"post"},
+            MethodParams: param.Make(),
+            Filters: nil,
+            Params: nil})
+
+    beego.GlobalControllerRouter["eta/eta_api/controllers/data_manage/correlation:CorrelationChartInfoController"] = append(beego.GlobalControllerRouter["eta/eta_api/controllers/data_manage/correlation:CorrelationChartInfoController"],
+        beego.ControllerComments{
+            Method: "MultiFactorDetail",
+            Router: `/chart_info/multi_factor/detail`,
+            AllowHTTPMethods: []string{"get"},
+            MethodParams: param.Make(),
+            Filters: nil,
+            Params: nil})
+
+    beego.GlobalControllerRouter["eta/eta_api/controllers/data_manage/correlation:CorrelationChartInfoController"] = append(beego.GlobalControllerRouter["eta/eta_api/controllers/data_manage/correlation:CorrelationChartInfoController"],
+        beego.ControllerComments{
+            Method: "MultiFactorEdit",
+            Router: `/chart_info/multi_factor/edit`,
+            AllowHTTPMethods: []string{"post"},
+            MethodParams: param.Make(),
+            Filters: nil,
+            Params: nil})
+
     beego.GlobalControllerRouter["eta/eta_api/controllers/data_manage/correlation:CorrelationChartInfoController"] = append(beego.GlobalControllerRouter["eta/eta_api/controllers/data_manage/correlation:CorrelationChartInfoController"],
         beego.ControllerComments{
             Method: "Newest",
@@ -4372,6 +4408,51 @@ func init() {
             Filters: nil,
             Params: nil})
 
+    beego.GlobalControllerRouter["eta/eta_api/controllers/data_manage:FactorEdbSeriesController"] = append(beego.GlobalControllerRouter["eta/eta_api/controllers/data_manage:FactorEdbSeriesController"],
+        beego.ControllerComments{
+            Method: "Add",
+            Router: `/factor_edb_series/add`,
+            AllowHTTPMethods: []string{"post"},
+            MethodParams: param.Make(),
+            Filters: nil,
+            Params: nil})
+
+    beego.GlobalControllerRouter["eta/eta_api/controllers/data_manage:FactorEdbSeriesController"] = append(beego.GlobalControllerRouter["eta/eta_api/controllers/data_manage:FactorEdbSeriesController"],
+        beego.ControllerComments{
+            Method: "CalculateFuncList",
+            Router: `/factor_edb_series/calculate_func/list`,
+            AllowHTTPMethods: []string{"get"},
+            MethodParams: param.Make(),
+            Filters: nil,
+            Params: nil})
+
+    beego.GlobalControllerRouter["eta/eta_api/controllers/data_manage:FactorEdbSeriesController"] = append(beego.GlobalControllerRouter["eta/eta_api/controllers/data_manage:FactorEdbSeriesController"],
+        beego.ControllerComments{
+            Method: "CorrelationMatrix",
+            Router: `/factor_edb_series/correlation/matrix`,
+            AllowHTTPMethods: []string{"post"},
+            MethodParams: param.Make(),
+            Filters: nil,
+            Params: nil})
+
+    beego.GlobalControllerRouter["eta/eta_api/controllers/data_manage:FactorEdbSeriesController"] = append(beego.GlobalControllerRouter["eta/eta_api/controllers/data_manage:FactorEdbSeriesController"],
+        beego.ControllerComments{
+            Method: "Detail",
+            Router: `/factor_edb_series/detail`,
+            AllowHTTPMethods: []string{"get"},
+            MethodParams: param.Make(),
+            Filters: nil,
+            Params: nil})
+
+    beego.GlobalControllerRouter["eta/eta_api/controllers/data_manage:FactorEdbSeriesController"] = append(beego.GlobalControllerRouter["eta/eta_api/controllers/data_manage:FactorEdbSeriesController"],
+        beego.ControllerComments{
+            Method: "Edit",
+            Router: `/factor_edb_series/edit`,
+            AllowHTTPMethods: []string{"post"},
+            MethodParams: param.Make(),
+            Filters: nil,
+            Params: nil})
+
     beego.GlobalControllerRouter["eta/eta_api/controllers/data_manage:JiaYueEdbSourceController"] = append(beego.GlobalControllerRouter["eta/eta_api/controllers/data_manage:JiaYueEdbSourceController"],
         beego.ControllerComments{
             Method: "FrequencyList",

routers/router.go

@@ -170,6 +170,7 @@ func init() {
 				&data_manage_permission.DataMangePermissionController{},
 				&data_manage.BloombergDataController{},
 				&data_manage.EdbBusinessController{},
+				&data_manage.FactorEdbSeriesController{},
 			),
 		),
 		web.NSNamespace("/my_chart",

services/data/base_edb_lib.go

@@ -558,3 +558,14 @@ func HttpPost(url, postData, lang string, params ...string) ([]byte, error) {
 	utils.FileLog.Debug("HttpPost:" + string(b))
 	return b, err
 }
+
+// BaseStepCalculate 基础运算-多步骤
+func BaseStepCalculate(param, lang string) (resp *BaseCalculateResp, err error) {
+	urlStr := "calculate/base/step_calculate"
+	_, resultByte, err := postAddEdbData(param, urlStr, lang)
+	err = json.Unmarshal(resultByte, &resp)
+	if err != nil {
+		return
+	}
+	return
+}

services/data/chart_classify.go

@@ -261,8 +261,34 @@ func AddChartClassify(chartClassifyName string, parentId, level, source int, lan
 		}
 	}
 
+	if level > 6 {
+		errMsg = `最高只支持添加6级分类`
+		return
+	}
+
 	//获取该层级下最大的排序数
 	maxSort, err := data_manage.GetChartClassifyMaxSort(parentId, source)
+	if err != nil {
+		errMsg = "获取失败"
+		err = errors.New("查询排序信息失败，Err:" + err.Error())
+		return
+	}
+	//查询顶级rootId
+	rootId := 0
+	if parentId > 0 {
+		parentClassify, tErr := data_manage.GetChartClassifyById(parentId)
+		if tErr != nil {
+			if tErr.Error() == utils.ErrNoRow() {
+				errMsg = "父级分类不存在"
+				err = errors.New(errMsg)
+				return
+			}
+			errMsg = "获取失败"
+			err = errors.New("获取分类信息失败，Err:" + tErr.Error())
+			return
+		}
+		rootId = parentClassify.RootId
+	}
 
 	classifyInfo = new(data_manage.ChartClassify)
 	classifyInfo.ParentId = parentId
@@ -278,11 +304,20 @@ func AddChartClassify(chartClassifyName string, parentId, level, source int, lan
 	classifyInfo.UniqueCode = utils.MD5(utils.DATA_PREFIX + "_" + timestamp)
 	classifyInfo.Sort = maxSort + 1
 	classifyInfo.Source = source
+	classifyInfo.RootId = rootId
 
-	_, err = data_manage.AddChartClassify(classifyInfo)
+	newId, err := data_manage.AddChartClassify(classifyInfo)
 	if err != nil {
 		return
 	}
+	if parentId == 0 { //一级目录的rootId等于自己本身
+		classifyInfo.RootId = int(newId)
+		err = classifyInfo.Update([]string{"RootId"})
+		if err != nil {
+			errMsg = "更新分类失败"
+			return
+		}
+	}
 
 	// 目前只有ETA图库需要继承分类权限
 	if classifyInfo.Source == utils.CHART_SOURCE_DEFAULT {
@@ -374,3 +409,556 @@ func EditChartClassify(chartClassifyId, source int, chartClassifyName, lang stri
 
 	return
 }
+
+// MoveChartClassify 移动图表分类
+func MoveChartClassify(req data_manage.MoveChartClassifyReq, sysUser *system.Admin, source int) (err error, errMsg string) {
+	classifyId := req.ClassifyId
+	parentClassifyId := req.ParentClassifyId
+	prevClassifyId := req.PrevClassifyId
+	nextClassifyId := req.NextClassifyId
+
+	chartInfoId := req.ChartInfoId
+	prevChartInfoId := req.PrevChartInfoId
+	nextChartInfoId := req.NextChartInfoId
+
+	//首先确定移动的对象是分类还是指标
+	//判断上一个节点是分类还是指标
+	//判断下一个节点是分类还是指标
+	//同时更新分类目录下的分类sort和指标sort
+	//更新当前移动的分类或者指标sort
+
+	var parentChartClassifyInfo *data_manage.ChartClassify
+	if parentClassifyId > 0 {
+		parentChartClassifyInfo, err = data_manage.GetChartClassifyById(parentClassifyId)
+		if err != nil {
+			errMsg = "移动失败"
+			err = errors.New("获取上级分类信息失败,Err:" + err.Error())
+			return
+		}
+	}
+
+	//如果有传入 上一个兄弟节点分类id
+	var (
+		chartClassifyInfo *data_manage.ChartClassify
+		prevClassify      *data_manage.ChartClassify
+		nextClassify      *data_manage.ChartClassify
+
+		chartInfo     *data_manage.ChartInfo
+		prevChartInfo *data_manage.ChartInfo
+		nextChartInfo *data_manage.ChartInfo
+		prevSort      int
+		nextSort      int
+	)
+
+	// 移动对象为分类， 判断权限
+	if chartInfoId == 0 {
+		chartClassifyInfo, err = data_manage.GetChartClassifyById(classifyId)
+		if err != nil {
+			if err.Error() == utils.ErrNoRow() {
+				errMsg = "当前分类不存在"
+				err = errors.New("获取分类信息失败,Err:" + err.Error())
+				return
+			}
+			errMsg = "移动失败"
+			err = errors.New("获取分类信息失败,Err:" + err.Error())
+			return
+		}
+		if parentClassifyId > 0 && parentChartClassifyInfo.Level == 6 {
+			errMsg = "最高只支持添加6级分类"
+			err = errors.New(errMsg)
+			return
+		}
+		// 如果是移动目录, 那么校验一下父级目录下是否有重名目录
+		exists, e := data_manage.GetChartClassifyByParentIdAndName(parentClassifyId, chartClassifyInfo.ChartClassifyName, classifyId)
+		if e != nil && e.Error() != utils.ErrNoRow() {
+			errMsg = "移动失败"
+			err = fmt.Errorf("获取父级分类下的同名分类失败, Err: %s", e.Error())
+			return
+		}
+		if exists != nil {
+			errMsg = "移动失败，分类名称已存在"
+			return
+		}
+
+		// 权限校验
+		{
+			// 已授权分类id
+			permissionClassifyIdList, tmpErr := data_manage_permission.GetUserChartClassifyPermissionList(sysUser.AdminId, classifyId)
+			if tmpErr != nil {
+				errMsg = "移动失败"
+				err = errors.New("获取已授权分类id数据失败，Err:" + tmpErr.Error())
+				return
+			}
+
+			// 数据权限
+			haveOperaAuth := data_manage_permission.CheckChartClassifyPermissionByPermissionIdList(chartClassifyInfo.IsJoinPermission, chartClassifyInfo.ChartClassifyId, permissionClassifyIdList)
+
+			button := GetChartClassifyOpButton(sysUser, chartClassifyInfo.SysUserId, haveOperaAuth)
+			if !button.MoveButton {
+				errMsg = "无操作权限"
+				err = errors.New(errMsg)
+				return
+			}
+		}
+
+	} else {
+		chartInfo, err = data_manage.GetChartInfoById(req.ChartInfoId)
+		if err != nil {
+			if err.Error() == utils.ErrNoRow() {
+				errMsg = "当前图表不存在"
+				err = errors.New("获取分类信息失败,Err:" + err.Error())
+				return
+			}
+			errMsg = "移动失败"
+			err = errors.New("获取分类信息失败,Err:" + err.Error())
+			return
+		}
+		if parentClassifyId == 0 {
+			errMsg = "移动失败,图表必须挂在分类下"
+			err = errors.New(errMsg)
+			return
+		}
+
+		var haveOperaAuth bool
+		// 权限校验
+		{
+			haveOperaAuth, err = data_manage_permission.CheckChartPermissionByChartInfoId(chartInfo.ChartInfoId, chartInfo.ChartClassifyId, chartInfo.IsJoinPermission, sysUser.AdminId)
+			if err != nil {
+				errMsg = "移动失败"
+				err = errors.New("获取图表权限信息失败,Err:" + err.Error())
+				return
+			}
+		}
+
+		// 移动权限校验
+		button := GetChartOpButton(sysUser, chartInfo.SysUserId, haveOperaAuth)
+		if !button.MoveButton {
+			errMsg = "无操作权限"
+			err = errors.New(errMsg)
+			return
+		}
+	}
+
+	if prevClassifyId > 0 {
+		prevClassify, err = data_manage.GetChartClassifyById(prevClassifyId)
+		if err != nil {
+			errMsg = "移动失败"
+			err = errors.New("获取上一个兄弟节点分类信息失败,Err:" + err.Error())
+			return
+		}
+		prevSort = prevClassify.Sort
+	} else if prevChartInfoId > 0 {
+		prevChartInfo, err = data_manage.GetChartInfoById(prevChartInfoId)
+		if err != nil {
+			errMsg = "移动失败"
+			err = errors.New("获取上一个兄弟节点分类信息失败,Err:" + err.Error())
+			return
+		}
+		prevSort = prevChartInfo.Sort
+	}
+
+	if nextClassifyId > 0 {
+		//下一个兄弟节点
+		nextClassify, err = data_manage.GetChartClassifyById(nextClassifyId)
+		if err != nil {
+			errMsg = "移动失败"
+			err = errors.New("获取下一个兄弟节点分类信息失败,Err:" + err.Error())
+			return
+		}
+		nextSort = nextClassify.Sort
+	} else if nextChartInfoId > 0 {
+		//下一个兄弟节点
+		nextChartInfo, err = data_manage.GetChartInfoById(nextChartInfoId)
+		if err != nil {
+			errMsg = "移动失败"
+			err = errors.New("获取下一个兄弟节点分类信息失败,Err:" + err.Error())
+			return
+		}
+		nextSort = nextChartInfo.Sort
+	}
+
+	err, errMsg = moveChartClassify(parentChartClassifyInfo, chartClassifyInfo, prevClassify, nextClassify, chartInfo, prevChartInfo, nextChartInfo, parentClassifyId, prevSort, nextSort, source)
+	return
+}
+
+// moveChartClassify 移动图表分类
+func moveChartClassify(parentChartClassifyInfo, chartClassifyInfo, prevClassify, nextClassify *data_manage.ChartClassify, chartInfo, prevChartInfo, nextChartInfo *data_manage.ChartInfo, parentClassifyId, prevSort, nextSort, source int) (err error, errMsg string) {
+	updateCol := make([]string, 0)
+
+	// 移动对象为分类， 判断分类是否存在
+	if chartClassifyInfo != nil {
+		oldParentId := chartClassifyInfo.ParentId
+		oldLevel := chartClassifyInfo.Level
+		var classifyIds []int
+		if oldParentId != parentClassifyId {
+			//更新子分类对应的level
+			childList, e, m := GetChildChartClassifyByClassifyId(chartClassifyInfo.ChartClassifyId)
+			if e != nil {
+				errMsg = "移动失败"
+				err = errors.New("查询子分类失败,Err:" + e.Error() + m)
+				return
+			}
+
+			if len(childList) > 0 {
+				for _, v := range childList {
+					if v.ChartClassifyId == chartClassifyInfo.ChartClassifyId {
+						continue
+					}
+					classifyIds = append(classifyIds, v.ChartClassifyId)
+				}
+			}
+		}
+		//判断上级id是否一致，如果不一致的话，那么需要移动该分类层级
+		if chartClassifyInfo.ParentId != parentClassifyId && parentClassifyId != 0 {
+			if chartClassifyInfo.Level != parentChartClassifyInfo.Level+1 { //禁止层级调整
+				errMsg = "移动失败"
+				err = errors.New("不支持目录层级变更")
+				return
+			}
+			chartClassifyInfo.ParentId = parentChartClassifyInfo.ChartClassifyId
+			chartClassifyInfo.RootId = parentChartClassifyInfo.RootId
+			chartClassifyInfo.Level = parentChartClassifyInfo.Level + 1
+			chartClassifyInfo.ModifyTime = time.Now()
+			updateCol = append(updateCol, "ParentId", "RootId", "Level", "ModifyTime")
+		} else if chartClassifyInfo.ParentId != parentClassifyId && parentClassifyId == 0 {
+			errMsg = "移动失败"
+			err = errors.New("不支持目录层级变更")
+			return
+		}
+
+		if prevSort > 0 {
+			//如果是移动在两个兄弟节点之间
+			if nextSort > 0 {
+				//下一个兄弟节点
+				//如果上一个兄弟与下一个兄弟的排序权重是一致的，那么需要将下一个兄弟（以及下个兄弟的同样排序权重）的排序权重+2，自己变成上一个兄弟的排序权重+1
+				if prevSort == nextSort || prevSort == chartClassifyInfo.Sort {
+					//变更兄弟节点的排序
+					updateSortStr := `sort + 2`
+
+					//变更分类
+					if prevClassify != nil {
+						_ = data_manage.UpdateChartClassifySortByParentIdAndSource(parentClassifyId, prevClassify.ChartClassifyId, prevClassify.Sort, updateSortStr, source)
+					} else {
+						_ = data_manage.UpdateChartClassifySortByParentIdAndSource(parentClassifyId, 0, prevSort, updateSortStr, source)
+					}
+
+					//变更图表
+					if prevChartInfo != nil {
+						//变更兄弟节点的排序
+						_ = data_manage.UpdateChartInfoSortByClassifyIdV2(parentClassifyId, prevSort, prevChartInfo.ChartInfoId, updateSortStr)
+					} else {
+						_ = data_manage.UpdateChartInfoSortByClassifyIdV2(parentClassifyId, prevSort, 0, updateSortStr)
+					}
+				} else {
+					//如果下一个兄弟的排序权重正好是上个兄弟节点的下一层，那么需要再加一层了
+					if nextSort-prevSort == 1 {
+						//变更兄弟节点的排序
+						updateSortStr := `sort + 1`
+
+						//变更分类
+						if prevClassify != nil {
+							_ = data_manage.UpdateChartClassifySortByParentIdAndSource(parentClassifyId, prevClassify.ChartClassifyId, prevSort, updateSortStr, source)
+						} else {
+							_ = data_manage.UpdateChartClassifySortByParentIdAndSource(parentClassifyId, 0, prevSort, updateSortStr, source)
+						}
+
+						//变更图表
+						if prevChartInfo != nil {
+							//变更兄弟节点的排序
+							_ = data_manage.UpdateChartInfoSortByClassifyIdV2(parentClassifyId, prevSort, prevChartInfo.ChartInfoId, updateSortStr)
+						} else {
+							_ = data_manage.UpdateChartInfoSortByClassifyIdV2(parentClassifyId, prevSort, 0, updateSortStr)
+						}
+
+					}
+				}
+			}
+
+			chartClassifyInfo.Sort = prevSort + 1
+			chartClassifyInfo.ModifyTime = time.Now()
+			updateCol = append(updateCol, "Sort", "ModifyTime")
+		} else if prevClassify == nil && nextClassify == nil && prevChartInfo == nil && nextChartInfo == nil && parentClassifyId > 0 {
+			//处理只拖动到目录里，默认放到目录底部的情况
+			var maxSort int
+			maxSort, err = GetChartClassifyMaxSort(parentClassifyId, source)
+			if err != nil {
+				errMsg = "移动失败"
+				err = errors.New("查询组内排序信息失败,Err:" + err.Error())
+				return
+			}
+			chartClassifyInfo.Sort = maxSort + 1 //那就是排在组内最后一位
+			chartClassifyInfo.ModifyTime = time.Now()
+			updateCol = append(updateCol, "Sort", "ModifyTime")
+		} else {
+			// 拖动到父级分类的第一位
+			firstClassify, tmpErr := data_manage.GetFirstChartClassifyByParentId(parentClassifyId)
+			if tmpErr != nil && tmpErr.Error() != utils.ErrNoRow() {
+				errMsg = "移动失败"
+				err = errors.New("获取获取当前父级分类下的排序第一条的分类信息失败,Err:" + tmpErr.Error())
+				return
+			}
+
+			//如果该分类下存在其他分类，且第一个其他分类的排序等于0，那么需要调整排序
+			if firstClassify != nil && firstClassify.Sort == 0 {
+				updateSortStr := ` sort + 1 `
+				_ = data_manage.UpdateChartClassifySortByParentIdAndSource(parentClassifyId, firstClassify.ChartClassifyId-1, 0, updateSortStr, source)
+				//该分类下的所有图表也需要+1
+				_ = data_manage.UpdateChartInfoSortByClassifyIdV2(parentClassifyId, 0, 0, updateSortStr)
+			} else {
+				//如果该分类下存在图表，且第一个图表的排序等于0，那么需要调整排序
+				firstEdb, tErr := data_manage.GetFirstChartInfoByClassifyId(parentClassifyId)
+				if tErr != nil && tErr.Error() != utils.ErrNoRow() {
+					errMsg = "移动失败"
+					err = errors.New("获取获取当前父级分类下的排序第一条的分类信息失败,Err:" + tErr.Error())
+					return
+				}
+
+				//如果该分类下存在其他分类，且第一个其他分类的排序等于0，那么需要调整排序
+				if firstEdb != nil && firstEdb.Sort == 0 {
+					updateSortStr := ` sort + 1 `
+					_ = data_manage.UpdateChartInfoSortByClassifyIdV2(parentClassifyId, 0, firstEdb.ChartInfoId-1, updateSortStr)
+					_ = data_manage.UpdateChartClassifySortByParentIdAndSource(parentClassifyId, 0, 0, updateSortStr, source)
+				}
+			}
+
+			chartClassifyInfo.Sort = 0 //那就是排在第一位
+			chartClassifyInfo.ModifyTime = time.Now()
+			updateCol = append(updateCol, "Sort", "ModifyTime")
+		}
+
+		//更新
+		if len(updateCol) > 0 {
+			err = chartClassifyInfo.Update(updateCol)
+			if err != nil {
+				errMsg = "移动失败"
+				err = errors.New("修改失败,Err:" + err.Error())
+				return
+			}
+			//更新对应分类的root_id和层级
+			if oldParentId != parentClassifyId {
+				if len(classifyIds) > 0 {
+					levelStep := chartClassifyInfo.Level - oldLevel
+					err = data_manage.UpdateEdbClassifyChildByParentClassifyId(classifyIds, chartClassifyInfo.RootId, levelStep)
+					if err != nil {
+						errMsg = "移动失败"
+						err = errors.New("更新子分类失败,Err:" + err.Error())
+						return
+					}
+				}
+			}
+		}
+	} else {
+		if chartInfo == nil {
+			errMsg = "当前图表不存在"
+			err = errors.New(errMsg)
+			return
+		}
+		//如果改变了分类，那么移动该图表数据
+		if chartInfo.ChartClassifyId != parentClassifyId {
+			chartInfo.ChartClassifyId = parentClassifyId
+			chartInfo.ModifyTime = time.Now()
+			updateCol = append(updateCol, "ChartClassifyId", "ModifyTime")
+		}
+		if prevSort > 0 {
+			//如果是移动在两个兄弟节点之间
+			if nextSort > 0 {
+				//下一个兄弟节点
+				//如果上一个兄弟与下一个兄弟的排序权重是一致的，那么需要将下一个兄弟（以及下个兄弟的同样排序权重）的排序权重+2，自己变成上一个兄弟的排序权重+1
+				if prevSort == nextSort || prevSort == chartInfo.Sort {
+					//变更兄弟节点的排序
+					updateSortStr := `sort + 2`
+
+					//变更分类
+					if prevClassify != nil {
+						_ = data_manage.UpdateChartClassifySortByParentIdAndSource(parentClassifyId, prevClassify.ChartClassifyId, prevClassify.Sort, updateSortStr, source)
+					} else {
+						_ = data_manage.UpdateChartClassifySortByParentIdAndSource(parentClassifyId, 0, prevSort, updateSortStr, source)
+					}
+
+					//变更图表
+					if prevChartInfo != nil {
+						//变更兄弟节点的排序
+						_ = data_manage.UpdateChartInfoSortByClassifyIdV2(parentClassifyId, prevSort, prevChartInfo.ChartInfoId, updateSortStr)
+					} else {
+						_ = data_manage.UpdateChartInfoSortByClassifyIdV2(parentClassifyId, prevSort, 0, updateSortStr)
+					}
+				} else {
+					//如果下一个兄弟的排序权重正好是上个兄弟节点的下一层，那么需要再加一层了
+					if nextSort-prevSort == 1 {
+						//变更兄弟节点的排序
+						updateSortStr := `sort + 1`
+						//变更分类
+						if prevClassify != nil {
+							_ = data_manage.UpdateChartClassifySortByParentIdAndSource(parentClassifyId, prevClassify.ChartClassifyId, prevSort, updateSortStr, source)
+						} else {
+							_ = data_manage.UpdateChartClassifySortByParentIdAndSource(parentClassifyId, 0, prevSort, updateSortStr, source)
+						}
+
+						//变更图表
+						if prevChartInfo != nil {
+							//变更兄弟节点的排序
+							_ = data_manage.UpdateChartInfoSortByClassifyIdV2(parentClassifyId, prevSort, prevChartInfo.ChartInfoId, updateSortStr)
+						} else {
+							_ = data_manage.UpdateChartInfoSortByClassifyIdV2(parentClassifyId, prevSort, 0, updateSortStr)
+						}
+					}
+				}
+			}
+
+			chartInfo.Sort = prevSort + 1
+			chartInfo.ModifyTime = time.Now()
+			updateCol = append(updateCol, "Sort", "ModifyTime")
+		} else if prevClassify == nil && nextClassify == nil && prevChartInfo == nil && nextChartInfo == nil && parentClassifyId > 0 {
+			//处理只拖动到目录里，默认放到目录底部的情况
+			var maxSort int
+			maxSort, err = GetChartClassifyMaxSort(parentClassifyId, source)
+			if err != nil {
+				errMsg = "移动失败"
+				err = errors.New("查询组内排序信息失败,Err:" + err.Error())
+				return
+			}
+			chartInfo.Sort = maxSort + 1 //那就是排在组内最后一位
+			chartInfo.ModifyTime = time.Now()
+			updateCol = append(updateCol, "Sort", "ModifyTime")
+		} else {
+			// 拖动到父级分类的第一位
+			firstClassify, tmpErr := data_manage.GetFirstChartClassifyByParentId(parentClassifyId)
+			if tmpErr != nil && tmpErr.Error() != utils.ErrNoRow() {
+				errMsg = "移动失败"
+				err = errors.New("获取获取当前父级分类下的排序第一条的分类信息失败,Err:" + tmpErr.Error())
+				return
+			}
+
+			//如果该分类下存在其他分类，且第一个其他分类的排序等于0，那么需要调整排序
+			if firstClassify != nil && firstClassify.Sort == 0 {
+				updateSortStr := ` sort + 1 `
+				_ = data_manage.UpdateChartClassifySortByParentIdAndSource(parentClassifyId, firstClassify.ChartClassifyId-1, 0, updateSortStr, source)
+				//该分类下的所有图表也需要+1
+				_ = data_manage.UpdateChartInfoSortByClassifyIdV2(parentClassifyId, 0, 0, updateSortStr)
+			} else {
+				//如果该分类下存在图表，且第一个图表的排序等于0，那么需要调整排序
+				firstEdb, tErr := data_manage.GetFirstChartInfoByClassifyId(parentClassifyId)
+				if tErr != nil && tErr.Error() != utils.ErrNoRow() {
+					errMsg = "移动失败"
+					err = errors.New("获取获取当前父级分类下的排序第一条的分类信息失败,Err:" + tErr.Error())
+					return
+				}
+
+				//如果该分类下存在其他分类，且第一个其他分类的排序等于0，那么需要调整排序
+				if firstEdb != nil && firstEdb.Sort == 0 {
+					updateSortStr := ` sort + 1 `
+					_ = data_manage.UpdateChartInfoSortByClassifyIdV2(parentClassifyId, 0, firstEdb.ChartInfoId-1, updateSortStr)
+					_ = data_manage.UpdateChartClassifySortByParentIdAndSource(parentClassifyId, 0, 0, updateSortStr, source)
+				}
+			}
+
+			chartInfo.Sort = 0 //那就是排在第一位
+			chartInfo.ModifyTime = time.Now()
+			updateCol = append(updateCol, "Sort", "ModifyTime")
+		}
+
+		//更新
+		if len(updateCol) > 0 {
+			err = chartInfo.Update(updateCol)
+			if err != nil {
+				errMsg = "移动失败"
+				err = errors.New("修改失败,Err:" + err.Error())
+				return
+			}
+		}
+	}
+	return
+}
+
+func GetChildChartClassifyByClassifyId(targetClassifyId int) (targetList []*data_manage.ChartClassifyIdItems, err error, errMsg string) {
+	//判断是否是挂在顶级目录下
+	targetClassify, err := data_manage.GetChartClassifyById(targetClassifyId)
+	if err != nil {
+		if err.Error() == utils.ErrNoRow() {
+			errMsg = "当前分类不存在"
+			err = errors.New(errMsg)
+			return
+		}
+		errMsg = "获取失败"
+		err = errors.New("获取分类信息失败，Err:" + err.Error())
+		return
+	}
+	orderStr := ` order by level asc, sort asc, chart_classify_id asc`
+	tmpList, err := data_manage.GetChartClassifyByRootIdLevel(targetClassify.RootId, targetClassify.Source, orderStr)
+	if err != nil && err.Error() != utils.ErrNoRow() {
+		errMsg = "获取失败"
+		err = errors.New("获取数据失败，Err:" + err.Error())
+		return
+	}
+	idMap := make(map[int]struct{})
+	if len(tmpList) > 0 {
+		for _, v := range tmpList {
+			if v.ChartClassifyId == targetClassify.ChartClassifyId {
+				idMap[v.ChartClassifyId] = struct{}{}
+			}
+		}
+		for _, v := range tmpList {
+			if _, ok := idMap[v.ParentId]; ok {
+				idMap[v.ChartClassifyId] = struct{}{}
+			}
+		}
+		for _, v := range tmpList {
+			if _, ok := idMap[v.ChartClassifyId]; ok {
+				targetItem := new(data_manage.ChartClassifyIdItems)
+				targetItem.ChartClassifyId = v.ChartClassifyId
+				targetItem.ParentId = v.ParentId
+				targetItem.RootId = v.RootId
+				targetItem.UniqueCode = v.UniqueCode
+				targetItem.Level = v.Level
+				targetItem.ChartClassifyName = v.ChartClassifyName
+				targetItem.IsJoinPermission = v.IsJoinPermission
+				targetList = append(targetList, targetItem)
+			}
+		}
+	}
+
+	return
+}
+
+func GetChartClassifyMaxSort(parentId, source int) (maxSort int, err error) {
+	//获取该层级下最大的排序数
+	classifyMaxSort, err := data_manage.GetChartClassifyMaxSort(parentId, source)
+	if err != nil {
+		return
+	}
+	maxSort = classifyMaxSort
+	edbMaxSort, err := data_manage.GetChartInfoMaxSortByClassifyId(parentId)
+	if err != nil {
+		return
+	}
+	if maxSort < edbMaxSort {
+		maxSort = edbMaxSort
+	}
+	return
+}
+
+// GetChartClassifyTreeRecursive 递归获取分类树形结构
+func GetChartClassifyTreeRecursive(list []*data_manage.ChartClassifyItems, parentId int) []*data_manage.ChartClassifyItems {
+	res := make([]*data_manage.ChartClassifyItems, 0)
+	for _, v := range list {
+		if v.ParentId == parentId {
+			v.Children = GetChartClassifyTreeRecursive(list, v.ChartClassifyId)
+			res = append(res, v)
+		}
+	}
+	return res
+}
+
+// GetChartClassifyParentRecursive 根据子目录递归父级目录
+func GetChartClassifyParentRecursive(list []*data_manage.ChartClassifyItems, classifyId int) []*data_manage.ChartClassifyItems {
+	res := make([]*data_manage.ChartClassifyItems, 0)
+	for _, v := range list {
+		if v.ChartClassifyId == classifyId {
+			if v.ParentId > 0 {
+				res = GetChartClassifyParentRecursive(list, v.ParentId)
+			}
+			res = append(res, v)
+		}
+	}
+	return res
+}

services/data/correlation/chart_info.go

@@ -14,6 +14,7 @@ import (
 	"sort"
 	"strconv"
 	"strings"
+	"sync"
 	"time"
 )
 
@@ -200,7 +201,7 @@ func GetChartEdbInfoFormat(chartInfoId int, edbInfoMappingA, edbInfoMappingB *da
 }
 
 // GetChartDataByEdbInfo 相关性图表-根据指标信息获取x轴和y轴
-func GetChartDataByEdbInfo(edbInfoMappingA, edbInfoMappingB *data_manage.ChartEdbInfoMapping, leadValue int, leadUnit, startDate, endDate string) (xEdbIdValue []int, yDataList []data_manage.YData, err error) {
+func GetChartDataByEdbInfo(edbInfoMappingA, edbInfoMappingB *data_manage.ChartEdbInfoMapping, leadValue int, leadUnit, startDate, endDate, extraConfig string) (xEdbIdValue []int, yDataList []data_manage.YData, err error) {
 	xData := make([]int, 0)
 	yData := make([]float64, 0)
 	if leadValue == 0 {
@@ -377,13 +378,30 @@ func GetChartDataByEdbInfo(edbInfoMappingA, edbInfoMappingB *data_manage.ChartEd
 		}
 	}
 
+	// 图例
+	var extra data_manage.CorrelationChartInfoExtraConfig
+	legend := new(data_manage.CorrelationChartLegend)
+	if extraConfig != "" {
+		if e := json.Unmarshal([]byte(extraConfig), &extra); e != nil {
+			err = fmt.Errorf("图例解析异常, err: %v", e)
+			return
+		}
+		if len(extra.LegendConfig) > 0 {
+			legend = extra.LegendConfig[0]
+		}
+	}
+
 	xEdbIdValue = xData
 	yDataList = make([]data_manage.YData, 0)
 	yDate := "0000-00-00"
-	yDataList = append(yDataList, data_manage.YData{
-		Date:  yDate,
-		Value: yData,
-	})
+	var y data_manage.YData
+	y.Date = yDate
+	y.Value = yData
+	if legend != nil {
+		y.Name = legend.LegendName
+		y.Color = legend.Color
+	}
+	yDataList = append(yDataList, y)
 	return
 }
 
@@ -564,11 +582,13 @@ func GetRollingCorrelationChartDataByEdbInfo(edbInfoMappingA, edbInfoMappingB *d
 }
 
 // ChartInfoRefresh 图表刷新
-func ChartInfoRefresh(chartInfoId int) (err error) {
+func ChartInfoRefresh(chartInfoId int, uniqueCode string) (isAsync bool, err error) {
 	var errMsg string
 	defer func() {
 		if err != nil {
-			go alarm_msg.SendAlarmMsg("CorrelationChartInfoRefresh: "+errMsg, 3)
+			tips := fmt.Sprintf("CorrelationChartInfoRefresh: %s", errMsg)
+			utils.FileLog.Info(tips)
+			go alarm_msg.SendAlarmMsg(tips, 3)
 		}
 	}()
 	correlationChart := new(data_manage.ChartInfoCorrelation)
@@ -577,6 +597,53 @@ func ChartInfoRefresh(chartInfoId int) (err error) {
 		return
 	}
 
+	// 多因子刷新-异步
+	if correlationChart.AnalysisMode == 1 {
+		isAsync = true
+
+		go func() {
+			// 1.刷新图表关联的指标
+			mappings, e := data_manage.GetChartEdbMappingList(chartInfoId)
+			if e != nil {
+				utils.FileLog.Info(fmt.Sprintf("获取图表关联指标失败, err: %v", e))
+				return
+			}
+			if len(mappings) == 0 {
+				utils.FileLog.Info("图表无关联指标")
+				return
+			}
+			var edbIds []int
+			for _, v := range mappings {
+				edbIds = append(edbIds, v.EdbInfoId)
+			}
+			if e, _ = data.EdbInfoRefreshAllFromBaseV3(edbIds, false, true, false); e != nil {
+				utils.FileLog.Info(fmt.Sprintf("批量刷新指标失败, err: %v", e))
+				return
+			}
+
+			// 2.刷新指标系列计算数据
+			for _, v := range mappings {
+				_, e = data.PostRefreshFactorEdbRecalculate(v.EdbInfoId, v.EdbCode)
+				if e != nil {
+					utils.FileLog.Info(fmt.Sprintf("PostRefreshFactorEdbRecalculate err: %v", e))
+					continue
+				}
+			}
+
+			// 3.刷新图表矩阵
+			_, e = data.PostRefreshFactorEdbChartRecalculate(chartInfoId)
+			if e != nil {
+				utils.FileLog.Info(fmt.Sprintf("PostRefreshFactorEdbRecalculate err: %v", e))
+				return
+			}
+
+			// 4.清除图表缓存
+			key := utils.HZ_CHART_LIB_DETAIL + uniqueCode
+			_ = utils.Rc.Delete(key)
+		}()
+		return
+	}
+
 	// 批量刷新ETA指标
 	err, _ = data.EdbInfoRefreshAllFromBaseV3([]int{correlationChart.EdbInfoIdFirst, correlationChart.EdbInfoIdSecond}, false, true, false)
 	if err != nil {
@@ -594,7 +661,7 @@ func ChartInfoRefresh(chartInfoId int) (err error) {
 		errMsg = "获取相关性图表, B指标mapping信息失败, Err:" + err.Error()
 		return
 	}
-	periodData, correlationData, err := GetChartDataByEdbInfo(edbInfoMappingA, edbInfoMappingB, correlationChart.LeadValue, correlationChart.LeadUnit, correlationChart.StartDate.Format(utils.FormatDate), correlationChart.EndDate.Format(utils.FormatDate))
+	periodData, correlationData, err := GetChartDataByEdbInfo(edbInfoMappingA, edbInfoMappingB, correlationChart.LeadValue, correlationChart.LeadUnit, correlationChart.StartDate.Format(utils.FormatDate), correlationChart.EndDate.Format(utils.FormatDate), "")
 	if err != nil {
 		errMsg = "获取相关性图表, 图表计算值失败, Err:" + err.Error()
 		return
@@ -821,6 +888,9 @@ func AddChartInfo(req data_manage.AddChartInfoReq, source int, sysUser *system.A
 	chartInfo.Instructions = req.Instructions
 	chartInfo.MarkersLines = req.MarkersLines
 	chartInfo.MarkersAreas = req.MarkersAreas
+	if req.ExtraConfig != "" {
+		chartInfo.ExtraConfig = req.ExtraConfig
+	}
 
 	// 指标信息
 	mapList := make([]*data_manage.ChartEdbMapping, 0)
@@ -1219,3 +1289,615 @@ func CopyChartInfo(configId, classifyId int, chartName string, correlationChartI
 
 	return
 }
+
+// CalculateCorrelation 计算相关性-获取x轴和y轴
+func CalculateCorrelation(leadValue int, leadUnit, frequencyA, frequencyB string, dataListA, dataListB []*data_manage.EdbDataList) (xEdbIdValue []int, yDataList []data_manage.YData, err error) {
+	xData := make([]int, 0)
+	yData := make([]float64, 0)
+	if leadValue == 0 {
+		xData = append(xData, 0)
+	}
+	if leadValue > 0 {
+		leadMin := 0 - leadValue
+		xLen := 2*leadValue + 1
+		for i := 0; i < xLen; i++ {
+			n := leadMin + i
+			xData = append(xData, n)
+		}
+	}
+
+	// 计算窗口，不包含第一天
+	//startDateTime, _ := time.ParseInLocation(utils.FormatDate, startDate, time.Local)
+	//startDate = startDateTime.AddDate(0, 0, 1).Format(utils.FormatDate)
+
+	//// 2023-03-02 时间序列始终以指标B为基准, 始终是A进行平移
+	//baseEdbInfo := edbInfoMappingB
+	//changeEdbInfo := edbInfoMappingA
+	// 2023-03-17 时间序列始终以指标A为基准, 始终是B进行平移
+	//baseEdbInfo := edbInfoMappingA
+	//changeEdbInfo := edbInfoMappingB
+
+	// 获取时间基准指标在时间区间内的值
+	//aDataList := make([]*data_manage.EdbDataList, 0)
+	//switch baseEdbInfo.EdbInfoCategoryType {
+	//case 0:
+	//	aDataList, err = data_manage.GetEdbDataList(baseEdbInfo.Source, baseEdbInfo.SubSource, baseEdbInfo.EdbInfoId, startDate, endDate)
+	//case 1:
+	//	_, aDataList, _, _, err, _ = data.GetPredictDataListByPredictEdbInfoId(baseEdbInfo.EdbInfoId, startDate, endDate, false)
+	//default:
+	//	err = errors.New("指标base类型异常")
+	//	return
+	//}
+	//
+	//// 获取变频指标所有日期的值, 插值法完善数据
+	//bDataList := make([]*data_manage.EdbDataList, 0)
+	//switch changeEdbInfo.EdbInfoCategoryType {
+	//case 0:
+	//	bDataList, err = data_manage.GetEdbDataList(changeEdbInfo.Source, changeEdbInfo.SubSource, changeEdbInfo.EdbInfoId, "", "")
+	//case 1:
+	//	_, bDataList, _, _, err, _ = data.GetPredictDataListByPredictEdbInfoId(changeEdbInfo.EdbInfoId, "", "", false)
+	//default:
+	//	err = errors.New("指标change类型异常")
+	//	return
+	//}
+	//changeDataMap := make(map[string]float64)
+	//newChangeDataList, e := HandleDataByLinearRegression(bDataList, changeDataMap)
+	//if e != nil {
+	//	err = fmt.Errorf("获取变频指标插值法Map失败, Err: %s", e.Error())
+	//	return
+	//}
+
+	// 2023-03-17 时间序列始终以指标A为基准, 始终是B进行平移
+	baseDataList := make([]*data_manage.EdbDataList, 0)
+	baseDataMap := make(map[string]float64)
+	changeDataList := make([]*data_manage.EdbDataList, 0)
+	changeDataMap := make(map[string]float64)
+
+	// 先把低频指标升频为高频
+	{
+		frequencyIntMap := map[string]int{
+			"日度": 1,
+			"周度": 2,
+			"旬度": 3,
+			"月度": 4,
+			"季度": 5,
+			"年度": 6,
+		}
+
+		// 如果A指标是高频，那么就需要对B指标进行升频
+		if frequencyIntMap[frequencyA] < frequencyIntMap[frequencyB] {
+			tmpNewChangeDataList, e := HandleDataByLinearRegression(dataListB, changeDataMap)
+			if e != nil {
+				err = fmt.Errorf("获取变频指标插值法Map失败, Err: %s", e.Error())
+				return
+			}
+			changeDataList = tmpNewChangeDataList
+			baseDataList = dataListA
+			for _, v := range baseDataList {
+				baseDataMap[v.DataTime] = v.Value
+			}
+
+		} else if frequencyIntMap[frequencyA] > frequencyIntMap[frequencyB] {
+			// 如果B指标是高频，那么就需要对A指标进行升频
+			tmpNewChangeDataList, e := HandleDataByLinearRegression(dataListA, baseDataMap)
+			if e != nil {
+				err = fmt.Errorf("获取变频指标插值法Map失败, Err: %s", e.Error())
+				return
+			}
+			baseDataList = tmpNewChangeDataList
+
+			changeDataList = dataListB
+			for _, v := range changeDataList {
+				changeDataMap[v.DataTime] = v.Value
+			}
+		} else {
+			baseDataList = dataListA
+			for _, v := range baseDataList {
+				baseDataMap[v.DataTime] = v.Value
+			}
+			changeDataList = dataListB
+			for _, v := range changeDataList {
+				changeDataMap[v.DataTime] = v.Value
+			}
+		}
+
+	}
+
+	// 计算不领先也不滞后时的相关系数
+	baseCalculateData := make([]float64, 0)
+	baseDataTimeArr := make([]string, 0)
+	for i := range baseDataList {
+		baseDataTimeArr = append(baseDataTimeArr, baseDataList[i].DataTime)
+		baseCalculateData = append(baseCalculateData, baseDataList[i].Value)
+	}
+
+	//zeroBaseData := make([]float64, 0)
+	//zeroCalculateData := make([]float64, 0)
+	//for i := range baseDataTimeArr {
+	//	tmpBaseVal, ok1 := baseDataMap[baseDataTimeArr[i]]
+	//	tmpCalculateVal, ok2 := changeDataMap[baseDataTimeArr[i]]
+	//	if ok1 && ok2 {
+	//		zeroBaseData = append(zeroBaseData, tmpBaseVal)
+	//		zeroCalculateData = append(zeroCalculateData, tmpCalculateVal)
+	//	}
+	//}
+	//if len(zeroBaseData) != len(zeroCalculateData) {
+	//	err = fmt.Errorf("相关系数两组序列元素数不一致, %d-%d", len(baseCalculateData), len(zeroCalculateData))
+	//	return
+	//}
+	//zeroRatio := utils.CalculateCorrelationByIntArr(zeroBaseData, zeroCalculateData)
+	//if leadValue == 0 {
+	//	yData = append(yData, zeroRatio)
+	//}
+
+	// 计算领先/滞后N期
+	if leadValue > 0 {
+		// 平移变频指标领先/滞后的日期(单位天)
+		moveUnitDays := utils.FrequencyDaysMap[leadUnit]
+
+		for i := range xData {
+			//if xData[i] == 0 {
+			//	yData = append(yData, zeroRatio)
+			//	continue
+			//}
+			xCalculateData := make([]float64, 0)
+			yCalculateData := make([]float64, 0)
+
+			// 平移指定天数
+			mDays := int(moveUnitDays) * xData[i]
+			_, dMap := MoveDataDaysToNewDataList(changeDataList, mDays)
+
+			// 取出对应的基准日期的值
+			for i2 := range baseDataTimeArr {
+				tmpDate := baseDataTimeArr[i2]
+				if yVal, ok := dMap[tmpDate]; ok {
+					xCalculateData = append(xCalculateData, baseCalculateData[i2])
+					yCalculateData = append(yCalculateData, yVal)
+				}
+			}
+			if len(yCalculateData) <= 0 {
+				//err = fmt.Errorf("领先滞后相关系数两组序列元素数不一致, %d-%d", len(baseCalculateData), len(yCalculateData))
+				//return
+				// 领先滞后后，没有可以计算的数据了
+				continue
+			}
+
+			// 公式计算出领先/滞后频度对应点的相关性系数
+			ratio := utils.CalculateCorrelationByIntArr(xCalculateData, yCalculateData)
+			yData = append(yData, ratio)
+		}
+	}
+
+	xEdbIdValue = xData
+	yDataList = make([]data_manage.YData, 0)
+	yDate := "0000-00-00"
+	yDataList = append(yDataList, data_manage.YData{
+		Date:  yDate,
+		Value: yData,
+	})
+	return
+}
+
+// GetFactorChartDataByChartId 获取多因子相关性图表数据
+func GetFactorChartDataByChartId(chartInfoId int, extraConfig string) (xEdbIdValue []int, yDataList []data_manage.YData, err error) {
+	if chartInfoId <= 0 {
+		return
+	}
+	// 指标对应的图例
+	extra := new(data_manage.CorrelationChartInfoExtraConfig)
+	if extraConfig != "" {
+		if e := json.Unmarshal([]byte(extraConfig), extra); e != nil {
+			err = fmt.Errorf("解析图表额外配置失败, err: %v", e)
+			return
+		}
+	}
+	legends := make(map[string]*data_manage.CorrelationChartLegend)
+	if extra != nil {
+		for _, v := range extra.LegendConfig {
+			s := fmt.Sprintf("%d-%d", v.SeriesId, v.EdbInfoId)
+			legends[s] = v
+		}
+	}
+
+	// 获取图表引用到的系列指标
+	chartMappingOb := new(data_manage.FactorEdbSeriesChartMapping)
+	cond := fmt.Sprintf(" AND %s = ? AND %s = 1", chartMappingOb.Cols().ChartInfoId, chartMappingOb.Cols().EdbUsed)
+	pars := make([]interface{}, 0)
+	pars = append(pars, chartInfoId)
+	chartMappings, e := chartMappingOb.GetItemsByCondition(cond, pars, []string{}, "")
+	if e != nil {
+		err = fmt.Errorf("获取图表引用系列指标失败")
+		return
+	}
+
+	// 取出计算结果
+	yDataList = make([]data_manage.YData, 0)
+	yDate := "0000-00-00"
+	for k, m := range chartMappings {
+		var values []data_manage.FactorEdbSeriesCorrelationMatrixValues
+		if m.CalculateData != "" {
+			e = json.Unmarshal([]byte(m.CalculateData), &values)
+			if e != nil {
+				err = fmt.Errorf("系列指标计算数据有误, err: %v", e)
+				return
+			}
+		}
+		var y []float64
+		for _, v := range values {
+			if k == 0 {
+				xEdbIdValue = append(xEdbIdValue, v.XData)
+			}
+			y = append(y, v.YData)
+		}
+		var yData data_manage.YData
+		yData.Date = yDate
+		yData.Value = y
+		yData.SeriesEdb.SeriesId = m.FactorEdbSeriesId
+		yData.SeriesEdb.EdbInfoId = m.EdbInfoId
+
+		// 图例
+		s := fmt.Sprintf("%d-%d", m.FactorEdbSeriesId, m.EdbInfoId)
+		legend := legends[s]
+		if legend != nil {
+			yData.Name = legend.LegendName
+			yData.Color = legend.Color
+		}
+		yDataList = append(yDataList, yData)
+	}
+	return
+}
+
+// RemoveCorrelationRelate 删除相关性图表关联信息
+func RemoveCorrelationRelate(chartInfoId int) (err error) {
+	if chartInfoId <= 0 {
+		return
+	}
+	// 相关性图表
+	chartCorrelate := new(data_manage.ChartInfoCorrelation)
+	if e := chartCorrelate.GetItemById(chartInfoId); e != nil && e.Error() != utils.ErrNoRow() {
+		err = fmt.Errorf("获取相关性图表信息失败, %v", e)
+		return
+	}
+	if chartCorrelate == nil {
+		return
+	}
+
+	// 删除相关性图
+	if e := chartCorrelate.Delete(); e != nil {
+		err = fmt.Errorf("删除相关性图表失败, %v", e)
+		return
+	}
+
+	// 多因子
+	if chartCorrelate.AnalysisMode != 1 {
+		return
+	}
+	seriesIds := make([]int, 0)
+
+	// 删除图表关联
+	chartMappingOb := new(data_manage.FactorEdbSeriesChartMapping)
+	{
+		cond := fmt.Sprintf(" AND %s = ?", chartMappingOb.Cols().ChartInfoId)
+		pars := make([]interface{}, 0)
+		pars = append(pars, chartCorrelate.CorrelationChartInfoId)
+		items, e := chartMappingOb.GetItemsByCondition(cond, pars, []string{}, "")
+		if e != nil {
+			err = fmt.Errorf("获取图表关联指标系列失败, %v", e)
+			return
+		}
+		for _, v := range items {
+			if !utils.InArrayByInt(seriesIds, v.FactorEdbSeriesId) {
+				seriesIds = append(seriesIds, v.FactorEdbSeriesId)
+			}
+		}
+		removeCond := fmt.Sprintf(" %s = ?", chartMappingOb.Cols().ChartInfoId)
+		if e = chartMappingOb.RemoveByCondition(removeCond, pars); e != nil {
+			err = fmt.Errorf("删除图表关联指标系列失败, %v", e)
+			return
+		}
+	}
+
+	// 删除系列
+	if len(seriesIds) == 0 {
+		return
+	}
+	seriesOb := new(data_manage.FactorEdbSeries)
+	if e := seriesOb.MultiRemove(seriesIds); e != nil {
+		err = fmt.Errorf("删除系列失败, %v", e)
+		return
+	}
+
+	edbMappingOb := new(data_manage.FactorEdbSeriesMapping)
+	{
+		cond := fmt.Sprintf(" %s IN (%s)", edbMappingOb.Cols().FactorEdbSeriesId, utils.GetOrmInReplace(len(seriesIds)))
+		pars := make([]interface{}, 0)
+		pars = append(pars, seriesIds)
+		if e := edbMappingOb.RemoveByCondition(cond, pars); e != nil {
+			err = fmt.Errorf("删除系列指标失败, %v", e)
+			return
+		}
+	}
+	calculateOb := new(data_manage.FactorEdbSeriesCalculateData)
+	{
+		cond := fmt.Sprintf(" %s IN (%s)", calculateOb.Cols().FactorEdbSeriesId, utils.GetOrmInReplace(len(seriesIds)))
+		pars := make([]interface{}, 0)
+		pars = append(pars, seriesIds)
+		if e := calculateOb.RemoveByCondition(cond, pars); e != nil {
+			err = fmt.Errorf("删除系列指标计算失败, %v", e)
+			return
+		}
+	}
+	return
+}
+
+// CalculateCorrelationMatrix 计算相关性矩阵
+func CalculateCorrelationMatrix(req data_manage.CalculateCorrelationMatrixPars) (resp data_manage.FactorEdbSeriesCorrelationMatrixResp, chartMappings []*data_manage.FactorEdbSeriesChartMapping, err error) {
+	if req.BaseEdbInfoId <= 0 {
+		err = fmt.Errorf("请选择标的指标")
+		return
+	}
+	if len(req.SeriesIds) == 0 {
+		err = fmt.Errorf("请选择因子指标系列")
+		return
+	}
+	if req.Correlation.LeadValue <= 0 {
+		err = fmt.Errorf("分析周期不允许设置为负数或0")
+		return
+	}
+	if req.Correlation.LeadUnit == "" {
+		err = fmt.Errorf("请选择分析周期频度")
+		return
+	}
+	leadUnitDays, ok := utils.FrequencyDaysMap[req.Correlation.LeadUnit]
+	if !ok {
+		err = fmt.Errorf("错误的分析周期频度: %s", req.Correlation.LeadUnit)
+		return
+	}
+
+	if req.Correlation.CalculateUnit == "" {
+		err = fmt.Errorf("请选择计算窗口频度")
+		return
+	}
+	calculateUnitDays, ok := utils.FrequencyDaysMap[req.Correlation.CalculateUnit]
+	if !ok {
+		err = fmt.Errorf("计算窗口频度有误: %s", req.Correlation.CalculateUnit)
+		return
+	}
+	leadDays := 2 * req.Correlation.LeadValue * leadUnitDays
+	calculateDays := req.Correlation.CalculateValue * calculateUnitDays
+	if calculateDays < leadDays {
+		err = fmt.Errorf("计算窗口必须≥2*分析周期")
+		return
+	}
+
+	// 获取标的指标信息及数据
+	baseEdb, e := data_manage.GetEdbInfoById(req.BaseEdbInfoId)
+	if e != nil {
+		err = fmt.Errorf("获取标的指标失败, %v", e)
+		return
+	}
+	dataListA := make([]*data_manage.EdbDataList, 0)
+	{
+		// 标的指标数据日期区间
+		startDate := time.Now().AddDate(0, 0, -calculateDays).Format(utils.FormatDate)
+		endDate := time.Now().Format(utils.FormatDate)
+		startDateTime, _ := time.ParseInLocation(utils.FormatDate, startDate, time.Local)
+		startDate = startDateTime.AddDate(0, 0, 1).Format(utils.FormatDate) // 不包含第一天
+		switch baseEdb.EdbInfoType {
+		case 0:
+			dataListA, e = data_manage.GetEdbDataList(baseEdb.Source, baseEdb.SubSource, baseEdb.EdbInfoId, startDate, endDate)
+		case 1:
+			_, dataListA, _, _, e, _ = data.GetPredictDataListByPredictEdbInfoId(baseEdb.EdbInfoId, startDate, endDate, false)
+		default:
+			err = fmt.Errorf("标的指标类型异常: %d", baseEdb.EdbInfoType)
+			return
+		}
+		if e != nil {
+			err = fmt.Errorf("获取标的指标数据失败, %v", e)
+			return
+		}
+	}
+
+	// 获取因子系列
+	seriesIdItem := make(map[int]*data_manage.FactorEdbSeries)
+	{
+		ob := new(data_manage.FactorEdbSeries)
+		cond := fmt.Sprintf(" AND %s IN (%s)", ob.Cols().PrimaryId, utils.GetOrmInReplace(len(req.SeriesIds)))
+		pars := make([]interface{}, 0)
+		pars = append(pars, req.SeriesIds)
+		items, e := ob.GetItemsByCondition(cond, pars, []string{}, fmt.Sprintf("%s ASC", ob.Cols().PrimaryId))
+		if e != nil {
+			err = fmt.Errorf("获取因子指标系列失败, %v", e)
+			return
+		}
+		for _, v := range items {
+			seriesIdItem[v.FactorEdbSeriesId] = v
+		}
+	}
+
+	// 获取因子指标
+	edbMappings := make([]*data_manage.FactorEdbSeriesMapping, 0)
+	edbInfoIds := make([]int, 0)
+	{
+		ob := new(data_manage.FactorEdbSeriesMapping)
+		cond := fmt.Sprintf(" AND %s IN (%s)", ob.Cols().FactorEdbSeriesId, utils.GetOrmInReplace(len(req.SeriesIds)))
+		pars := make([]interface{}, 0)
+		pars = append(pars, req.SeriesIds)
+		order := fmt.Sprintf("%s ASC, %s ASC", ob.Cols().FactorEdbSeriesId, ob.Cols().EdbInfoId)
+		items, e := ob.GetItemsByCondition(cond, pars, []string{}, order)
+		if e != nil {
+			err = fmt.Errorf("获取系列指标失败, %v", e)
+			return
+		}
+		for _, v := range items {
+			edbInfoIds = append(edbInfoIds, v.EdbInfoId)
+		}
+		edbMappings = items
+	}
+	edbIdItem := make(map[int]*data_manage.EdbInfo)
+	edbItems, e := data_manage.GetEdbInfoByIdList(edbInfoIds)
+	if e != nil {
+		err = fmt.Errorf("获取因子指标信息失败, %v", e)
+		return
+	}
+	for _, v := range edbItems {
+		edbIdItem[v.EdbInfoId] = v
+	}
+
+	calculateDataOb := new(data_manage.FactorEdbSeriesCalculateData)
+
+	calculateWorkers := make(chan struct{}, 10)
+	wg := sync.WaitGroup{}
+	edbExists := make(map[string]bool)
+	chartKeyMap := make(map[string]*data_manage.FactorEdbSeriesChartMapping)
+	for _, v := range edbMappings {
+		existsKey := fmt.Sprintf("%d-%d", v.FactorEdbSeriesId, v.EdbInfoId)
+		if edbExists[existsKey] {
+			continue
+		}
+		edbExists[existsKey] = true
+
+		edbItem := edbIdItem[v.EdbInfoId]
+		if edbItem == nil {
+			continue
+		}
+		seriesItem := seriesIdItem[v.FactorEdbSeriesId]
+		if seriesItem == nil {
+			continue
+		}
+
+		wg.Add(1)
+		go func(mapping *data_manage.FactorEdbSeriesMapping, edb *data_manage.EdbInfo, series *data_manage.FactorEdbSeries) {
+			defer func() {
+				wg.Done()
+				<-calculateWorkers
+			}()
+			calculateWorkers <- struct{}{}
+
+			var item data_manage.FactorEdbSeriesCorrelationMatrixItem
+			item.SeriesId = series.FactorEdbSeriesId
+			item.EdbInfoId = edb.EdbInfoId
+			item.EdbCode = edb.EdbCode
+			item.EdbName = edb.EdbName
+
+			// 指标来源
+			edbList := make([]*data_manage.ChartEdbInfoMapping, 0)
+			edbList = append(edbList, &data_manage.ChartEdbInfoMapping{
+				EdbInfoId:           edb.EdbInfoId,
+				EdbInfoCategoryType: edb.EdbInfoType,
+				EdbType:             edb.EdbType,
+				Source:              edb.Source,
+				SourceName:          edb.SourceName,
+			})
+			sourceNameList, sourceNameEnList := data.GetEdbSourceByEdbInfoIdList(edbList)
+			item.SourceName = strings.Join(sourceNameList, ",")
+			item.SourceNameEn = strings.Join(sourceNameEnList, ",")
+
+			// 获取指标数据
+			dataListB := make([]*data_manage.EdbDataList, 0)
+			if series.CalculateState == data_manage.FactorEdbSeriesCalculated {
+				cond := fmt.Sprintf(" AND %s = ? AND %s = ?", calculateDataOb.Cols().FactorEdbSeriesId, calculateDataOb.Cols().EdbInfoId)
+				pars := make([]interface{}, 0)
+				pars = append(pars, mapping.FactorEdbSeriesId, mapping.EdbInfoId)
+				dataItems, e := calculateDataOb.GetItemsByCondition(cond, pars, []string{calculateDataOb.Cols().DataTime, calculateDataOb.Cols().Value}, fmt.Sprintf("%s ASC", calculateDataOb.Cols().DataTime))
+				if e != nil {
+					item.Msg = fmt.Sprintf("计算失败")
+					item.ErrMsg = fmt.Sprintf("获取计算数据失败, err: %v", e)
+					resp.Fail = append(resp.Fail, item)
+					return
+				}
+				dataListB = data_manage.TransEdbSeriesCalculateData2EdbDataList(dataItems)
+			} else {
+				switch edb.EdbInfoType {
+				case 0:
+					dataListB, e = data_manage.GetEdbDataList(edb.Source, edb.SubSource, edb.EdbInfoId, "", "")
+				case 1:
+					_, dataListB, _, _, e, _ = data.GetPredictDataListByPredictEdbInfoId(edb.EdbInfoId, "", "", false)
+				default:
+					item.Msg = fmt.Sprintf("计算失败")
+					item.ErrMsg = fmt.Sprintf("指标类型异常, edbType: %d", edb.EdbInfoType)
+					resp.Fail = append(resp.Fail, item)
+					return
+				}
+			}
+
+			// 计算相关性
+			xEdbIdValue, yDataList, e := CalculateCorrelation(req.Correlation.LeadValue, req.Correlation.LeadUnit, baseEdb.Frequency, edb.Frequency, dataListA, dataListB)
+			if e != nil {
+				item.Msg = fmt.Sprintf("计算失败")
+				item.ErrMsg = fmt.Sprintf("相关性计算失败, err: %v", e)
+				resp.Fail = append(resp.Fail, item)
+				return
+			}
+
+			// X及Y轴数据
+			yData := yDataList[0].Value
+			yLen := len(yData)
+			values := make([]data_manage.FactorEdbSeriesCorrelationMatrixValues, len(xEdbIdValue))
+			for k, x := range xEdbIdValue {
+				var y float64
+				if k >= 0 && k < yLen {
+					y = yData[k]
+				}
+				y = utils.SubFloatToFloat(y, 2)
+				values[k] = data_manage.FactorEdbSeriesCorrelationMatrixValues{
+					XData: x, YData: y,
+				}
+			}
+
+			// 图表关联
+			newMapping := new(data_manage.FactorEdbSeriesChartMapping)
+			newMapping.CalculateType = data_manage.FactorEdbSeriesChartCalculateTypeCorrelation
+
+			// 计算参数
+			var calculatePars data_manage.FactorEdbSeriesChartCalculateCorrelationReq
+			calculatePars.BaseEdbInfoId = req.BaseEdbInfoId
+			calculatePars.LeadValue = req.Correlation.LeadValue
+			calculatePars.LeadUnit = req.Correlation.LeadUnit
+			calculatePars.CalculateValue = req.Correlation.CalculateValue
+			calculatePars.CalculateUnit = req.Correlation.CalculateUnit
+			bc, e := json.Marshal(calculatePars)
+			if e != nil {
+				item.Msg = fmt.Sprintf("计算失败")
+				item.ErrMsg = fmt.Sprintf("计算参数JSON格式化失败, err: %v", e)
+				resp.Fail = append(resp.Fail, item)
+				return
+			}
+			newMapping.CalculatePars = string(bc)
+
+			// 计算结果, 注此处保存的是排序前的顺序
+			bv, e := json.Marshal(values)
+			if e != nil {
+				item.Msg = fmt.Sprintf("计算失败")
+				item.ErrMsg = fmt.Sprintf("计算结果JSON格式化失败, err: %v", e)
+				resp.Fail = append(resp.Fail, item)
+				return
+			}
+			newMapping.CalculateData = string(bv)
+			newMapping.FactorEdbSeriesId = mapping.FactorEdbSeriesId
+			newMapping.EdbInfoId = mapping.EdbInfoId
+			newMapping.CreateTime = time.Now().Local()
+			newMapping.ModifyTime = time.Now().Local()
+			chartKeyMap[existsKey] = newMapping
+
+			// 按照固定规则排期数[0 1 2 3 -1 -2 -3], 仅矩阵展示为此顺序
+			sort.Sort(data_manage.FactorEdbSeriesCorrelationMatrixOrder(values))
+			item.Msg = "计算成功"
+			item.Values = values
+			resp.Success = append(resp.Success, item)
+		}(v, edbItem, seriesItem)
+	}
+	wg.Wait()
+
+	// 新增图表关联, 此处按照顺序添加
+	chartMappings = make([]*data_manage.FactorEdbSeriesChartMapping, 0)
+	for _, v := range edbMappings {
+		k := fmt.Sprintf("%d-%d", v.FactorEdbSeriesId, v.EdbInfoId)
+		item := chartKeyMap[k]
+		if item == nil {
+			continue
+		}
+		chartMappings = append(chartMappings, item)
+	}
+	return
+}

services/data/edb_classify.go

@@ -650,6 +650,25 @@ func DeleteCheck(classifyId, edbInfoId int, sysUser *system.Admin) (deleteStatus
 				return
 			}*/
 		}
+
+		// 判断指标是否用于因子指标系列
+		{
+			ob := new(data_manage.FactorEdbSeriesMapping)
+			cond := fmt.Sprintf(" AND %s = ?", ob.Cols().EdbInfoId)
+			pars := make([]interface{}, 0)
+			pars = append(pars, edbInfoId)
+			count, e := ob.GetCountByCondition(cond, pars)
+			if e != nil {
+				errMsg = "删除失败"
+				err = fmt.Errorf("获取指标是否用于系列失败, err: %v", e)
+				return
+			}
+			if count > 0 {
+				deleteStatus = 3
+				tipsMsg = "当前指标已用于因子指标系列, 不可删除"
+				return
+			}
+		}
 	}
 	return
 }

services/data/factor_edb_series.go

@@ -0,0 +1,191 @@
+package data
+
+import (
+	"encoding/json"
+	"eta/eta_api/models"
+	"eta/eta_api/models/data_manage"
+	"eta/eta_api/services/alarm_msg"
+	"eta/eta_api/utils"
+	"fmt"
+	"sync"
+	"time"
+)
+
+// FactorEdbStepCalculate 因子指标-多公式计算
+func FactorEdbStepCalculate(seriesId int, edbArr []*data_manage.EdbInfo, calculates []data_manage.FactorEdbSeriesCalculatePars, lang string, recalculate bool) (calculateResp data_manage.FactorEdbSeriesStepCalculateResp, err error) {
+	if len(edbArr) == 0 || len(calculates) == 0 {
+		return
+	}
+	defer func() {
+		if err != nil {
+			tips := fmt.Sprintf("StepCalculate计算失败, ErrMsg: %v", err)
+			fmt.Println(tips)
+			utils.FileLog.Info(tips)
+			go alarm_msg.SendAlarmMsg(tips, 3)
+		}
+		if len(calculateResp.Fail) > 0 {
+			tips := "StepCalculate计算失败, ErrMsg: "
+			for _, f := range calculateResp.Fail {
+				tips += fmt.Sprintf("code: %s, err: %s\n", f.EdbCode, f.ErrMsg)
+			}
+			fmt.Println(tips)
+			utils.FileLog.Info(tips)
+			go alarm_msg.SendAlarmMsg(tips, 2)
+		}
+	}()
+
+	// 重新计算-先清除原数据
+	calculateDataOb := new(data_manage.FactorEdbSeriesCalculateData)
+	if recalculate {
+		cond := fmt.Sprintf("%s = ?", calculateDataOb.Cols().FactorEdbSeriesId)
+		pars := make([]interface{}, 0)
+		pars = append(pars, seriesId)
+		if e := calculateDataOb.RemoveByCondition(cond, pars); e != nil {
+			err = fmt.Errorf("清除原数据失败, err: %v", e)
+			return
+		}
+	}
+
+	wg := sync.WaitGroup{}
+	calculateWorkers := make(chan struct{}, 10)
+	for _, edb := range edbArr {
+		wg.Add(1)
+		go func(v *data_manage.EdbInfo) {
+			defer func() {
+				wg.Done()
+				<-calculateWorkers
+			}()
+			calculateWorkers <- struct{}{}
+
+			var result data_manage.FactorEdbSeriesStepCalculateResult
+			result.EdbInfoId = v.EdbInfoId
+			result.EdbCode = v.EdbCode
+			result.Msg = "计算失败"
+
+			// 获取基础数据
+			edbData, e := data_manage.GetEdbDataAllByEdbCode(v.EdbCode, v.Source, v.SubSource, 0)
+			if e != nil {
+				result.ErrMsg = fmt.Sprintf("获取基础数据失败, edbCode: %s, err: %v", v.EdbCode, e)
+				calculateResp.Fail = append(calculateResp.Fail, result)
+				return
+			}
+			if len(edbData) == 0 {
+				result.Msg = "该指标无基础数据"
+				result.ErrMsg = fmt.Sprintf("该指标无基础数据, edbCode: %s", v.EdbCode)
+				calculateResp.Fail = append(calculateResp.Fail, result)
+				return
+			}
+
+			// 请求指标服务进行计算
+			j, e := json.Marshal(data_manage.BaseStepCalculateReq{
+				DataList:   edbData,
+				Calculates: calculates,
+			})
+			if e != nil {
+				result.ErrMsg = fmt.Sprintf("请求体JSON格式化失败, edbCode: %s, err: %v", v.EdbCode, e)
+				calculateResp.Fail = append(calculateResp.Fail, result)
+				return
+			}
+			requestRes, e := BaseStepCalculate(string(j), lang)
+			if e != nil {
+				result.ErrMsg = fmt.Sprintf("指标计算响应失败, edbCode: %s, err: %v", v.EdbCode, e)
+				calculateResp.Fail = append(calculateResp.Fail, result)
+				return
+			}
+			if requestRes.Ret != 200 {
+				result.Msg = requestRes.Msg
+				result.ErrMsg = requestRes.ErrMsg
+				calculateResp.Fail = append(calculateResp.Fail, result)
+				return
+			}
+
+			// 计算成功的保存结果
+			dataArr := make([]*data_manage.FactorEdbSeriesCalculateData, 0)
+			for _, d := range requestRes.Data.DateList {
+				val, ok := requestRes.Data.DataMap[d]
+				if !ok {
+					continue
+				}
+				dataTime, e := time.ParseInLocation(time.DateOnly, d, time.Local)
+				if e != nil {
+					result.ErrMsg = fmt.Sprintf("解析计算结果日期失败, edbCode: %s, date: %s, err: %v, ", v.EdbCode, d, e)
+					calculateResp.Fail = append(calculateResp.Fail, result)
+					return
+				}
+				dataArr = append(dataArr, &data_manage.FactorEdbSeriesCalculateData{
+					FactorEdbSeriesId: seriesId,
+					EdbInfoId:         v.EdbInfoId,
+					EdbCode:           v.EdbCode,
+					DataTime:          dataTime,
+					Value:             val,
+					CreateTime:        time.Now().Local(),
+					ModifyTime:        time.Now().Local(),
+					DataTimestamp:     dataTime.UnixNano() / 1e6,
+				})
+			}
+			if len(dataArr) == 0 {
+				result.Msg = "计算结果无数据"
+				result.ErrMsg = fmt.Sprintf("计算结果无数据, edbCode: %s", v.EdbCode)
+				calculateResp.Fail = append(calculateResp.Fail, result)
+				return
+			}
+			if e = calculateDataOb.CreateMulti(dataArr); e != nil {
+				result.ErrMsg = fmt.Sprintf("保存计算结果失败, edbCode: %s, err: %v, ", v.EdbCode, e)
+				calculateResp.Fail = append(calculateResp.Fail, result)
+				return
+			}
+
+			result.Msg = "计算成功"
+			calculateResp.Success = append(calculateResp.Success, result)
+		}(edb)
+	}
+	wg.Wait()
+	return
+}
+
+// PostRefreshFactorEdbRecalculate 因子指标重计算
+func PostRefreshFactorEdbRecalculate(edbInfoId int, edbCode string) (resp *models.BaseResponse, err error) {
+	param := make(map[string]interface{})
+	param["EdbInfoId"] = edbInfoId
+	param["EdbCode"] = edbCode
+	postUrl := fmt.Sprintf("%s%s", utils.EDB_LIB_URL, "factor_edb_series/recalculate")
+	postData, e := json.Marshal(param)
+	if e != nil {
+		err = fmt.Errorf("param json err: %v", e)
+		return
+	}
+	result, e := HttpPost(postUrl, string(postData), utils.ZhLangVersion, "application/json")
+	if e != nil {
+		err = fmt.Errorf("http post err: %v", e)
+		return
+	}
+	utils.FileLog.Info("PostRefreshFactorEdbRecalculate:" + postUrl + ";" + string(postData) + ";result:" + string(result))
+	if e = json.Unmarshal(result, &resp); e != nil {
+		err = fmt.Errorf("resp unmarshal err: %v", e)
+		return
+	}
+	return
+}
+
+// PostRefreshFactorEdbChartRecalculate 因子指标图表重计算
+func PostRefreshFactorEdbChartRecalculate(chartInfoId int) (resp *models.BaseResponse, err error) {
+	param := make(map[string]interface{})
+	param["ChartInfoId"] = chartInfoId
+	postUrl := fmt.Sprintf("%s%s", utils.EDB_LIB_URL, "factor_edb_series/chart_recalculate")
+	postData, e := json.Marshal(param)
+	if e != nil {
+		err = fmt.Errorf("param json err: %v", e)
+		return
+	}
+	result, e := HttpPost(postUrl, string(postData), utils.ZhLangVersion, "application/json")
+	if e != nil {
+		err = fmt.Errorf("http post err: %v", e)
+		return
+	}
+	utils.FileLog.Info("PostRefreshFactorEdbChartRecalculate:" + postUrl + ";" + string(postData) + ";result:" + string(result))
+	if e = json.Unmarshal(result, &resp); e != nil {
+		err = fmt.Errorf("resp unmarshal err: %v", e)
+		return
+	}
+	return
+}

utils/constants.go

@@ -433,3 +433,23 @@ const (
 	ZhLangVersion = "zh" // 中文语言版本
 	EnLangVersion = "en" // 英文语言版本
 )
+
+// 指标计算方式
+const (
+	EdbBaseCalculateLjzzy                = 1  // 累计值转月->1
+	EdbBaseCalculateLjzzj                = 2  // 累计值转季->2
+	EdbBaseCalculateTbz                  = 3  // 同比值->3
+	EdbBaseCalculateTcz                  = 4  // 同差值->4
+	EdbBaseCalculateNszydpjjs            = 5  // N数值移动平均数计算->5
+	EdbBaseCalculateHbz                  = 6  // 环比值->6
+	EdbBaseCalculateHcz                  = 7  // 环差值->7
+	EdbBaseCalculateUpFrequency          = 8  // 升频->8
+	EdbBaseCalculateDownFrequency        = 9  // 降频->9
+	EdbBaseCalculateTimeShift            = 10 // 时间移位->10
+	EdbBaseCalculateCjjx                 = 11 // 超季节性->11
+	EdbBaseCalculateAnnualized           = 12 // 年化->12
+	EdbBaseCalculateLjz                  = 13 // 累计值->13
+	EdbBaseCalculateLjzNczj              = 14 // 累计值年初至今->14
+	EdbBaseCalculateExponentialSmoothing = 15 // 指数修匀->15
+	EdbBaseCalculateRjz                  = 16 // 日均值->16
+)