base_from_calculate.go 33 KB

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  1. package models
  2. import (
  3. "encoding/json"
  4. "errors"
  5. "eta_gn/eta_index_lib/global"
  6. "eta_gn/eta_index_lib/utils"
  7. "fmt"
  8. "gorm.io/gorm"
  9. "strconv"
  10. "strings"
  11. "time"
  12. "github.com/dengsgo/math-engine/engine"
  13. "github.com/shopspring/decimal"
  14. )
  15. // EdbInfoCalculateSaveReq 计算(运算)指标请求参数
  16. type EdbInfoCalculateSaveReq struct {
  17. AdminId int `description:"添加人id"`
  18. AdminName string `description:"添加人名称"`
  19. EdbInfoId int `description:"指标id"`
  20. EdbName string `description:"指标名称"`
  21. EdbNameEn string `description:"英文指标名称"`
  22. Frequency string `description:"频率"`
  23. Unit string `description:"单位"`
  24. UnitEn string `description:"英文单位"`
  25. ClassifyId int `description:"分类id"`
  26. CalculateFormula string `description:"计算公式"`
  27. EmptyType int `description:"空值处理类型(0查找前后35天,1不计算,2前值填充,3后值填充,4等于0)"`
  28. MaxEmptyType int `description:"MAX、MIN公式空值处理类型(1、等于0;2、跳过空值)"`
  29. Extra string `description:"指标额外配置"`
  30. EdbInfoIdArr []EdbInfoFromTag
  31. }
  32. // EdbInfoFromTag 计算指标的关联指标
  33. type EdbInfoFromTag struct {
  34. EdbInfoId int `description:"指标id"`
  35. FromTag string `description:"指标对应标签"`
  36. }
  37. // CalculateItems 计算(运算)指标信息
  38. type CalculateItems struct {
  39. EdbInfoId int
  40. DataMap map[string]float64
  41. }
  42. // AddCalculateInfo 新增计算(运算)指标
  43. func AddCalculateInfo(req EdbInfoCalculateSaveReq, calculateMappingList []*EdbInfoCalculateMapping, edbInfoList []*EdbInfo, edbCode, uniqueCode string, edbInfoIdBytes []string) (edbInfo *EdbInfo, err error) {
  44. to := global.DEFAULT_DmSQL.Begin()
  45. if err != nil {
  46. return
  47. }
  48. defer func() {
  49. if err != nil {
  50. fmt.Println("AddCalculateHcz,Err:" + err.Error())
  51. _ = to.Rollback()
  52. } else {
  53. _ = to.Commit()
  54. }
  55. }()
  56. edbInfo = &EdbInfo{
  57. EdbInfoId: 0,
  58. SourceName: "指标运算",
  59. Source: utils.DATA_SOURCE_CALCULATE,
  60. EdbCode: edbCode,
  61. EdbName: req.EdbName,
  62. EdbNameSource: req.EdbName,
  63. Frequency: req.Frequency,
  64. Unit: req.Unit,
  65. StartDate: "",
  66. EndDate: "",
  67. ClassifyId: req.ClassifyId,
  68. SysUserId: req.AdminId,
  69. SysUserRealName: req.AdminName,
  70. UniqueCode: uniqueCode,
  71. CreateTime: time.Now(),
  72. ModifyTime: time.Now(),
  73. MinValue: 0,
  74. MaxValue: 0,
  75. CalculateFormula: req.CalculateFormula,
  76. EdbType: 2,
  77. Sort: GetAddEdbMaxSortByClassifyId(req.ClassifyId, utils.EDB_INFO_TYPE),
  78. MoveType: 0,
  79. MoveFrequency: "",
  80. NoUpdate: 0,
  81. ServerUrl: "",
  82. EdbInfoType: 0,
  83. EdbNameEn: req.EdbName,
  84. UnitEn: req.Unit,
  85. LatestDate: "",
  86. LatestValue: 0,
  87. ChartImage: "",
  88. EmptyType: req.EmptyType,
  89. MaxEmptyType: req.MaxEmptyType,
  90. Extra: req.Extra,
  91. }
  92. err = to.Create(edbInfo).Error
  93. if err != nil {
  94. return
  95. }
  96. edbInfoTag := make(map[string]int)
  97. //关联关系表
  98. {
  99. //处理关联指标
  100. for _, v := range calculateMappingList {
  101. edbInfoTag[v.FromTag] = v.FromEdbInfoId
  102. v.EdbCode = edbCode
  103. v.EdbInfoId = edbInfo.EdbInfoId
  104. }
  105. if len(calculateMappingList) > 0 {
  106. err = to.CreateInBatches(calculateMappingList, len(calculateMappingList)).Error
  107. if err != nil {
  108. return
  109. }
  110. }
  111. }
  112. //计算数据
  113. err = refreshAllCalculate(to, edbInfoList, edbInfoTag, edbInfo.EdbInfoId, edbInfo.Source, edbInfo.SubSource, edbInfo.EdbCode, edbInfo.CalculateFormula, "", "", edbInfoIdBytes, edbInfo.EmptyType, edbInfo.MaxEmptyType, edbInfo.Extra)
  114. return
  115. }
  116. // EditCalculateInfo 编辑计算(运算)指标
  117. func EditCalculateInfo(edbInfo *EdbInfo, req EdbInfoCalculateSaveReq, formulaSlice []string, edbInfoIdBytes []string, needCalculate bool) (err error, errMsg string) {
  118. to := global.DEFAULT_DmSQL.Begin()
  119. if err != nil {
  120. return
  121. }
  122. defer func() {
  123. if err != nil {
  124. fmt.Println("AddCalculateHcz,Err:" + err.Error())
  125. _ = to.Rollback()
  126. } else {
  127. _ = to.Commit()
  128. }
  129. }()
  130. // 修改指标信息
  131. edbInfo.EdbName = req.EdbName
  132. edbInfo.EdbNameEn = req.EdbNameEn
  133. edbInfo.EdbNameSource = req.EdbName
  134. edbInfo.Frequency = req.Frequency
  135. edbInfo.Unit = req.Unit
  136. edbInfo.UnitEn = req.UnitEn
  137. edbInfo.ClassifyId = req.ClassifyId
  138. edbInfo.CalculateFormula = req.CalculateFormula
  139. edbInfo.ModifyTime = time.Now()
  140. edbInfo.EmptyType = req.EmptyType
  141. edbInfo.MaxEmptyType = req.MaxEmptyType
  142. edbInfo.Extra = req.Extra
  143. err = to.Model(edbInfo).Updates(edbInfo).Error
  144. if err != nil {
  145. return
  146. }
  147. if needCalculate {
  148. // 清除计算数据
  149. sql := `DELETE FROM edb_data_calculate WHERE edb_info_id=?`
  150. err = to.Exec(sql, edbInfo.EdbInfoId).Error
  151. if err != nil {
  152. return
  153. }
  154. // 清除关联关系表
  155. sql = `DELETE FROM edb_info_calculate_mapping WHERE edb_info_id=?`
  156. err = to.Exec(sql, edbInfo.EdbInfoId).Error
  157. if err != nil {
  158. return
  159. }
  160. edbInfoList := make([]*EdbInfo, 0)
  161. calculateMappingList := make([]*EdbInfoCalculateMapping, 0)
  162. edbInfoTag := make(map[string]int)
  163. for k, v := range req.EdbInfoIdArr {
  164. edbInfoTag[v.FromTag] = v.EdbInfoId
  165. fromEdbInfo, tmpErr := GetEdbInfoById(v.EdbInfoId)
  166. if tmpErr != nil {
  167. err = tmpErr
  168. return
  169. }
  170. edbInfoList = append(edbInfoList, fromEdbInfo)
  171. //关联关系表
  172. {
  173. calculateMappingItem := &EdbInfoCalculateMapping{
  174. EdbInfoCalculateMappingId: 0,
  175. EdbInfoId: req.EdbInfoId,
  176. Source: edbInfo.Source,
  177. SourceName: edbInfo.SourceName,
  178. EdbCode: edbInfo.EdbCode,
  179. FromEdbInfoId: fromEdbInfo.EdbInfoId,
  180. FromEdbCode: fromEdbInfo.EdbCode,
  181. FromEdbName: fromEdbInfo.EdbName,
  182. FromSource: fromEdbInfo.Source,
  183. FromSourceName: fromEdbInfo.SourceName,
  184. FromTag: v.FromTag,
  185. Sort: k + 1,
  186. CreateTime: time.Now(),
  187. ModifyTime: time.Now(),
  188. }
  189. calculateMappingList = append(calculateMappingList, calculateMappingItem)
  190. }
  191. }
  192. for _, v := range formulaSlice {
  193. formulaMap, e := utils.CheckFormula(v)
  194. if e != nil {
  195. err = fmt.Errorf("公式错误,请重新填写")
  196. return
  197. }
  198. //预先计算,判断公式是否正常
  199. ok, _ := CheckFormula2(edbInfoList, formulaMap, v, edbInfoIdBytes)
  200. if !ok {
  201. errMsg = "生成计算指标失败,请使用正确的计算公式"
  202. err = errors.New(errMsg)
  203. return
  204. }
  205. }
  206. //关联关系表
  207. {
  208. if len(calculateMappingList) > 0 {
  209. err = to.CreateInBatches(calculateMappingList, len(calculateMappingList)).Error
  210. if err != nil {
  211. return
  212. }
  213. }
  214. }
  215. //计算数据
  216. err = refreshAllCalculate(to, edbInfoList, edbInfoTag, edbInfo.EdbInfoId, edbInfo.Source, edbInfo.SubSource, edbInfo.EdbCode, edbInfo.CalculateFormula, "", "", edbInfoIdBytes, edbInfo.EmptyType, edbInfo.MaxEmptyType, edbInfo.Extra)
  217. }
  218. return
  219. }
  220. // GetCalculateEdbInfo 获取计算指标的关联指标id
  221. func GetCalculateEdbInfo(edbInfoId int) (from_edb_info_id string, err error) {
  222. sql := ` SELECT LISTAGG(from_edb_info_id ,',') WITHIN GROUP (ORDER BY sort asc) AS from_edb_info_id
  223. FROM edb_info_calculate_mapping
  224. WHERE edb_info_id=?
  225. GROUP BY edb_info_id
  226. `
  227. err = global.DEFAULT_DmSQL.Raw(sql, edbInfoId).Find(&from_edb_info_id).Error
  228. return
  229. }
  230. // RefreshAllCalculate 刷新全部数据
  231. func RefreshAllCalculate(edbInfoIdArr []*EdbInfo, edbInfoTag map[string]int, edbInfoId, source, subSource int, edbCode, formulaStr, startDate, endDate string, edbInfoIdBytes []string, emptyType, maxEmptyType int, extra string) (err error) {
  232. to := global.DEFAULT_DmSQL.Begin()
  233. if err != nil {
  234. return
  235. }
  236. defer func() {
  237. if err != nil {
  238. fmt.Println("RefreshAllCalculate,Err:" + err.Error())
  239. _ = to.Rollback()
  240. } else {
  241. _ = to.Commit()
  242. }
  243. }()
  244. fmt.Println(startDate, endDate)
  245. //计算数据
  246. err = refreshAllCalculate(to, edbInfoIdArr, edbInfoTag, edbInfoId, source, subSource, edbCode, formulaStr, startDate, endDate, edbInfoIdBytes, emptyType, maxEmptyType, extra)
  247. return
  248. }
  249. // refreshAllCalculate 刷新全部数据
  250. func refreshAllCalculate(to *gorm.DB, edbInfoIdArr []*EdbInfo, edbInfoTag map[string]int, edbInfoId, source, subSource int, edbCode, formulaStr, startDate, endDate string, edbInfoIdBytes []string, emptyType, maxEmptyType int, extra string) (err error) {
  251. realSaveDataMap := make(map[string]map[int]float64)
  252. saveDataMap := make(map[string]map[int]float64)
  253. // 最小的结束日期 , 最晚的数据开始日期
  254. var minLatestDate, maxStartDate time.Time
  255. dateList := make([]string, 0) // 最终的日期数据
  256. dateMap := make(map[string]struct{}) // 最终的日期数据
  257. dateTagConfig := ""
  258. if extra != "" {
  259. var dateConfig CalculateEdbExtra
  260. err = json.Unmarshal([]byte(extra), &dateConfig)
  261. if err != nil {
  262. err = fmt.Errorf("refreshAllCalculate,extra解析失败,Err:%s", err.Error())
  263. return
  264. }
  265. dateTagConfig = dateConfig.DateTag
  266. }
  267. for edbInfoIndex, v := range edbInfoIdArr {
  268. dataList, err := GetEdbDataListAllByTo(to, v.Source, v.SubSource, FindEdbDataListAllCond{
  269. EdbInfoId: v.EdbInfoId,
  270. StartDataTime: startDate,
  271. StartDataTimeCond: ">=",
  272. }, 1)
  273. if err != nil {
  274. return err
  275. }
  276. for _, dv := range dataList {
  277. if val, ok := realSaveDataMap[dv.DataTime]; ok {
  278. if _, ok := val[v.EdbInfoId]; !ok {
  279. val[v.EdbInfoId] = dv.Value
  280. }
  281. } else {
  282. temp := make(map[int]float64)
  283. temp[v.EdbInfoId] = dv.Value
  284. realSaveDataMap[dv.DataTime] = temp
  285. }
  286. // saveDataMap
  287. if val, ok := saveDataMap[dv.DataTime]; ok {
  288. if _, ok := val[v.EdbInfoId]; !ok {
  289. val[v.EdbInfoId] = dv.Value
  290. }
  291. } else {
  292. temp2 := make(map[int]float64)
  293. temp2[v.EdbInfoId] = dv.Value
  294. saveDataMap[dv.DataTime] = temp2
  295. }
  296. if dateTagConfig == "all" {
  297. if _, ok := dateMap[dv.DataTime]; !ok {
  298. dateList = append(dateList, dv.DataTime)
  299. dateMap[dv.DataTime] = struct{}{}
  300. }
  301. } else if dateTagConfig == "" { // 默认取第一个指标的时间序列
  302. if edbInfoIndex == 0 {
  303. if _, ok := dateMap[dv.DataTime]; !ok {
  304. dateList = append(dateList, dv.DataTime)
  305. dateMap[dv.DataTime] = struct{}{}
  306. }
  307. }
  308. } else {
  309. if eId, ok := edbInfoTag[dateTagConfig]; ok {
  310. if v.EdbInfoId == eId {
  311. if _, ok1 := dateMap[dv.DataTime]; !ok1 {
  312. dateList = append(dateList, dv.DataTime)
  313. dateMap[dv.DataTime] = struct{}{}
  314. }
  315. }
  316. }
  317. }
  318. }
  319. }
  320. // 处理最大日期和最小日期
  321. for _, v := range dateList {
  322. tmpDate, _ := time.ParseInLocation(utils.FormatDate, v, time.Local)
  323. if minLatestDate.IsZero() || tmpDate.After(minLatestDate) {
  324. minLatestDate = tmpDate
  325. }
  326. if maxStartDate.IsZero() || tmpDate.Before(maxStartDate) {
  327. maxStartDate = tmpDate
  328. }
  329. }
  330. //数据处理,将日期内不全的数据做补全
  331. HandleDateSaveDataMap(dateList, maxStartDate, minLatestDate, realSaveDataMap, saveDataMap, edbInfoIdArr, emptyType)
  332. formulaDateSlice, formulaDateMap, err := utils.HandleFormulaJson(formulaStr, minLatestDate)
  333. if err != nil {
  334. return
  335. }
  336. addSql := ` INSERT INTO edb_data_calculate(edb_info_id,edb_code,data_time,value,create_time,modify_time,data_timestamp) values `
  337. var isAdd bool
  338. dataTableName := GetEdbDataTableName(source, subSource)
  339. //获取指标所有数据
  340. dataList, err := GetAllEdbDataListByTo(to, edbInfoId, source, subSource)
  341. if err != nil {
  342. return err
  343. }
  344. dataMap := make(map[string]string)
  345. removeDateMap := make(map[string]string) //需要移除的日期
  346. for _, v := range dataList {
  347. dataMap[v.DataTime] = v.Value
  348. removeDateMap[v.DataTime] = v.DataTime
  349. }
  350. edbInfoIdStr := strconv.Itoa(edbInfoId)
  351. existDataMap := make(map[string]string)
  352. // 判断是否特殊处理max和min函数
  353. maxDealFlag := false
  354. if emptyType == 4 && maxEmptyType == 2 {
  355. maxDealFlag = true
  356. }
  357. for sk, sv := range saveDataMap {
  358. // 当空值处理类型选择了不计算时,只要有一个指标在某个日期没有值(即空值),则计算指标在该日期没有值
  359. if emptyType == 1 {
  360. if len(sv) != len(edbInfoIdArr) {
  361. continue
  362. }
  363. }
  364. //fmt.Println(sk, sv)
  365. // 根据时间范围,选择对应的公式
  366. formulaMap := make(map[string]string)
  367. formulaStr = ""
  368. for _, fv := range formulaDateSlice {
  369. if sk < fv {
  370. if f, ok := formulaDateMap[fv]; ok {
  371. formulaStr = f
  372. formulaMap, err = utils.CheckFormula(formulaStr)
  373. if err != nil {
  374. err = fmt.Errorf("公式错误,请重新填写")
  375. return
  376. }
  377. }
  378. break
  379. }
  380. }
  381. if formulaStr == "" {
  382. continue
  383. }
  384. svMax := make(map[int]float64)
  385. if maxDealFlag {
  386. // 特殊处理max和min函数,如果原本的值为空,则选择空值参与运算
  387. if svMaxData, ok := realSaveDataMap[sk]; ok {
  388. svMax = svMaxData
  389. }
  390. }
  391. formulaStr = strings.ToUpper(formulaStr)
  392. formulaFormStr := ReplaceFormula(edbInfoIdArr, sv, svMax, formulaMap, formulaStr, edbInfoIdBytes, maxDealFlag)
  393. //计算公式异常,那么就移除该指标
  394. if formulaFormStr == `` {
  395. continue
  396. }
  397. fmt.Println(fmt.Sprintf("%s:formulaFormStr:%s", sk, formulaFormStr))
  398. calVal, err := engine.ParseAndExec(formulaFormStr)
  399. if err != nil {
  400. // 分母为0的报错,忽略该循环
  401. if utils.IsDivideZero(err) {
  402. //removeDateList = append(removeDateList, sk)
  403. continue
  404. }
  405. err = errors.New("计算失败:获取计算值失败 Err:" + err.Error() + ";formulaStr:" + formulaFormStr)
  406. fmt.Println(err)
  407. return err
  408. }
  409. nanCheck := fmt.Sprintf("%0.f", calVal)
  410. // 分母为0.0的报错
  411. if nanCheck == "NaN" || nanCheck == "+Inf" || nanCheck == "-Inf" {
  412. continue
  413. }
  414. // 有计算出来值,那么就从待删除指标中移除
  415. delete(removeDateMap, sk)
  416. saveValue := decimal.NewFromFloat(calVal).Round(4).String() //utils.SubFloatToString(calVal, 4)
  417. if existVal, ok := dataMap[sk]; !ok {
  418. dataTime, _ := time.ParseInLocation(utils.FormatDate, sk, time.Local)
  419. timestamp := dataTime.UnixNano() / 1e6
  420. timeStr := fmt.Sprintf("%d", timestamp)
  421. if _, existOk := existDataMap[sk]; !existOk {
  422. addSql += GetAddSql(edbInfoIdStr, edbCode, sk, timeStr, saveValue)
  423. isAdd = true
  424. }
  425. existDataMap[sk] = sk
  426. } else {
  427. existValDecimal, err := decimal.NewFromString(existVal)
  428. existStr := existValDecimal.String()
  429. if existStr != saveValue {
  430. sql := ` UPDATE %s SET value=?,modify_time=NOW() WHERE edb_info_id=? AND data_time=? `
  431. sql = fmt.Sprintf(sql, dataTableName)
  432. //_, err = to.Raw(sql, saveValue, edbInfoId, sk).Exec()
  433. err = to.Exec(sql, saveValue, edbInfoId, sk).Error
  434. if err != nil {
  435. return err
  436. }
  437. }
  438. }
  439. }
  440. if isAdd {
  441. addSql = strings.TrimRight(addSql, ",")
  442. err = to.Exec(addSql).Error
  443. if err != nil {
  444. fmt.Println("RefreshAllCalculate add Err", err.Error())
  445. return
  446. }
  447. }
  448. if len(removeDateMap) > 0 {
  449. removeDateList := make([]string, 0) //需要移除的日期
  450. for k := range removeDateMap {
  451. removeDateList = append(removeDateList, k)
  452. }
  453. removeDateStr := strings.Join(removeDateList, `','`)
  454. removeDateStr = `'` + removeDateStr + `'`
  455. //如果拼接指标变更了,那么需要删除所有的指标数据
  456. tableName := GetEdbDataTableName(source, subSource)
  457. sql := fmt.Sprintf(` DELETE FROM %s WHERE edb_info_id = ? and data_time in (%s) `, tableName, removeDateStr)
  458. err = to.Exec(sql, edbInfoId).Error
  459. if err != nil {
  460. err = fmt.Errorf("删除计算失败的计算指标数据失败,Err:" + err.Error())
  461. return
  462. }
  463. }
  464. return
  465. }
  466. // ReplaceFormula 替换计算方式
  467. func ReplaceFormula(edbInfoIdArr []*EdbInfo, valArr, valArrMax map[int]float64, formulaMap map[string]string, formulaStr string, edbInfoIdBytes []string, maxDealFlag bool) string {
  468. // todo 先处理max和min函数的特殊情况
  469. //if strings.Contains(formulaStr, "MAX") || strings.Contains(formulaStr, "MIN") {
  470. funMap := GetFormulaMap()
  471. for k, v := range funMap {
  472. formulaStr = strings.Replace(formulaStr, k, v, -1)
  473. }
  474. if maxDealFlag {
  475. formulaStr = GetMaxMinEdbInfo(formulaStr)
  476. }
  477. replaceCount := 0
  478. for dk := len(edbInfoIdArr) - 1; dk >= 0; dk-- {
  479. dv := edbInfoIdArr[dk]
  480. //for dk, dv := range edbInfoIdArr {
  481. var isReplace bool
  482. formulaStr, isReplace = GetFormulaReplace(dk, dv.EdbInfoId, formulaStr, edbInfoIdBytes, formulaMap, valArr, valArrMax, maxDealFlag)
  483. if isReplace {
  484. replaceCount++
  485. }
  486. }
  487. for k, v := range funMap {
  488. formulaStr = strings.Replace(formulaStr, v, k, -1)
  489. }
  490. if strings.Contains(formulaStr, "MAX()") || strings.Contains(formulaStr, "MIN()") {
  491. return ""
  492. }
  493. formulaStr = strings.Replace(formulaStr, "MAX", "max", -1)
  494. formulaStr = strings.Replace(formulaStr, "MIN", "min", -1)
  495. formulaStr = strings.Replace(formulaStr, "LN", "ln", -1)
  496. formulaStr = strings.Replace(formulaStr, "LOG", "log", -1)
  497. formulaStr = strings.Replace(formulaStr, "SIN", "sin", -1)
  498. formulaStr = strings.Replace(formulaStr, "COS", "cos", -1)
  499. formulaStr = strings.Replace(formulaStr, "TAN", "tan", -1)
  500. formulaStr = strings.Replace(formulaStr, "COT", "cot", -1)
  501. formulaStr = strings.Replace(formulaStr, "SEC", "sec", -1)
  502. formulaStr = strings.Replace(formulaStr, "CSC", "csc", -1)
  503. formulaStr = strings.Replace(formulaStr, "ABS", "abs", -1)
  504. formulaStr = strings.Replace(formulaStr, "CEIL", "ceil", -1)
  505. formulaStr = strings.Replace(formulaStr, "FLOOR", "floor", -1)
  506. formulaStr = strings.Replace(formulaStr, "ROUND", "round", -1)
  507. formulaStr = strings.Replace(formulaStr, "SQRT", "sqrt", -1)
  508. formulaStr = strings.Replace(formulaStr, "CBRT", "cbrt", -1)
  509. formulaStr = strings.Replace(formulaStr, "NOERR", "noerr", -1)
  510. formulaStr = strings.Replace(formulaStr, "DOUBLE", "double", -1)
  511. if replaceCount == len(formulaMap) {
  512. return formulaStr
  513. } else {
  514. return ""
  515. }
  516. }
  517. func GetFormulaReplace(index, edbInfoId int, formulaStr string, edbInfoIdBytes []string, formulaMap map[string]string, valArr, valArrMax map[int]float64, maxDealFlag bool) (formulaResult string, isReplace bool) {
  518. formulaResult = formulaStr
  519. dKey := edbInfoIdBytes[index]
  520. if _, ok := formulaMap[dKey]; ok { //公式中存在
  521. if val, valOk := valArr[edbInfoId]; valOk { //值存在
  522. dvStr := fmt.Sprintf("%v", val)
  523. formulaResult = strings.Replace(formulaResult, dKey, dvStr, -1)
  524. isReplace = true
  525. if maxDealFlag {
  526. if valM, valMOk := valArrMax[edbInfoId]; valMOk { //值存在
  527. dvMStr := fmt.Sprintf("%v", valM)
  528. formulaResult = strings.Replace(formulaResult, strings.ToLower(dKey), dvMStr, -1)
  529. } else {
  530. formulaResult = strings.Replace(formulaResult, strings.ToLower(dKey)+",", "", -1)
  531. formulaResult = strings.Replace(formulaResult, ","+strings.ToLower(dKey), "", -1)
  532. }
  533. }
  534. }
  535. }
  536. return
  537. }
  538. // GetFormulaMap 获取计算公式的map
  539. func GetFormulaMap() map[string]string {
  540. funMap := make(map[string]string)
  541. funMap["MAX"] = "[@@]"
  542. funMap["MIN"] = "[@!]"
  543. funMap["ABS"] = "[@#]"
  544. funMap["CEIL"] = "[@$]"
  545. funMap["COS"] = "[@%]"
  546. funMap["FLOOR"] = "[@^]"
  547. funMap["MOD"] = "[@&]"
  548. funMap["POW"] = "[@*]"
  549. funMap["ROUND"] = "[@`]"
  550. funMap["LN"] = "[@-]"
  551. funMap["EXP"] = "[@+]"
  552. return funMap
  553. }
  554. // CalculateBatchSaveReq 添加计算指标的请求参数
  555. type CalculateBatchSaveReq struct {
  556. EdbList []*CalculateEdbInfoItem //需要批量计算的指标列表
  557. AdminId int `description:"添加人id"`
  558. AdminName string `description:"添加人名称"`
  559. Formula string `description:"N值/移动天数"`
  560. Source int `description:"来源:1:同花顺,2:wind,3:彭博,4:指标运算,5:累计值转月,6:同比值,7:同差值,8:N数值移动平均计算,12:环比值,13:环差值,14:升频"`
  561. CalculateFormula string `description:"计算公式"`
  562. EdbInfoIdArr []EdbInfoCalculateEdbInfoIdReq `description:"关联指标列表"`
  563. MoveType int `description:"移动方式:1:领先(默认),2:滞后"`
  564. MoveFrequency string `description:"移动频度:天/周/月/季/年"`
  565. Calendar string `description:"公历/农历"`
  566. Data interface{} `description:"数据"`
  567. EmptyType int `description:"空值处理类型(0查找前后35天,1不计算,2前值填充,3后值填充,4等于0)"`
  568. MaxEmptyType int `description:"MAX、MIN公式空值处理类型(1、等于0;2、跳过空值)"`
  569. Extra string `description:"指标额外配置"`
  570. }
  571. type CalculateEdbInfoItem struct {
  572. EdbInfoId int `description:"指标id"`
  573. EdbName string `description:"指标名称"`
  574. Frequency string `description:"频度"`
  575. Unit string `description:"单位"`
  576. ClassifyId int `description:"分类id"`
  577. CalculateId string `description:"当前请求时,单个计算的唯一标识"`
  578. FromEdbInfoId int `description:"计算来源指标id"`
  579. }
  580. // EdbInfoCalculateBatchSaveReq 添加计算指标的请求参数
  581. type EdbInfoCalculateBatchSaveReq struct {
  582. AdminId int `description:"添加人id"`
  583. AdminName string `description:"添加人名称"`
  584. EdbInfoId int `description:"指标id"`
  585. EdbName string `description:"指标名称"`
  586. Frequency string `description:"频度"`
  587. Unit string `description:"单位"`
  588. ClassifyId int `description:"分类id"`
  589. Formula string `description:"N值/移动天数"`
  590. FromEdbInfoId int `description:"计算来源指标id"`
  591. Source int `description:"来源:1:同花顺,2:wind,3:彭博,4:指标运算,5:累计值转月,6:同比值,7:同差值,8:N数值移动平均计算,12:环比值,13:环差值,14:升频"`
  592. CalculateFormula string `description:"计算公式"`
  593. EdbInfoIdArr []EdbInfoCalculateEdbInfoIdReq `description:"关联指标列表"`
  594. MoveType int `description:"移动方式:1:领先(默认),2:滞后"`
  595. MoveFrequency string `description:"移动频度:天/周/月/季/年"`
  596. Calendar string `description:"公历/农历"`
  597. Data interface{} `description:"数据"`
  598. EmptyType int `description:"空值处理类型(0查找前后35天,1不计算,2前值填充,3后值填充,4等于0)"`
  599. MaxEmptyType int `description:"MAX、MIN公式空值处理类型(1、等于0;2、跳过空值)"`
  600. Extra string `description:"指标额外配置"`
  601. }
  602. // EdbInfoCalculateEdbInfoIdReq 新增/编辑请求 关联的指标列表
  603. type EdbInfoCalculateEdbInfoIdReq struct {
  604. EdbInfoId int `description:"指标id"`
  605. FromTag string `description:"指标对应标签"`
  606. MoveValue int `description:"移动的值"`
  607. }
  608. // EdbInfoCalculateBatchEditReq 编辑计算指标的请求参数
  609. type EdbInfoCalculateBatchEditReq struct {
  610. EdbName string `description:"指标名称"`
  611. EdbNameEn string `description:"英文指标名称"`
  612. Frequency string `description:"频度"`
  613. Unit string `description:"单位"`
  614. UnitEn string `description:"英文单位"`
  615. ClassifyId int `description:"分类id"`
  616. AdminId int `description:"操作人id"`
  617. AdminName string `description:"操作人姓名"`
  618. Formula string `description:"N值"`
  619. EdbInfoId int `description:"编辑指标id"`
  620. FromEdbInfoId int `description:"计算来源指标id"`
  621. Source int `description:"来源:1:同花顺,2:wind,3:彭博,4:指标运算,5:累计值转月,6:同比值,7:同差值,8:N数值移动平均计算,12:环比值,13:环差值,14:升频"`
  622. MoveType int `description:"移动方式:1:领先(默认),2:滞后"`
  623. MoveFrequency string `description:"移动频度:天/周/月/季/年"`
  624. EdbInfoIdArr []EdbInfoCalculateEdbInfoIdReq `description:"关联指标列表"`
  625. Calendar string `description:"公历/农历" orm:"default(公历)"`
  626. Extra string `description:"指标的额外配置"`
  627. Data interface{} `description:"数据"`
  628. EmptyType int `description:"空值处理类型(0查找前后35天,1不计算,2前值填充,3后值填充,4等于0)"`
  629. MaxEmptyType int `description:"MAX、MIN公式空值处理类型(1、等于0;2、跳过空值)"`
  630. CalculateFormula string `description:"计算公式"`
  631. }
  632. // CheckFormula2 校验公式是否正常(比如说除法的分母不能为0之类的,实际上就是用预设的字段数据做一次计算)
  633. func CheckFormula2(edbInfoArr []*EdbInfo, formulaMap map[string]string, formulaStr string, edbInfoIdBytes []string) (ok bool, err error) {
  634. valArr := make(map[int]float64)
  635. for k, v := range edbInfoArr {
  636. valArr[v.EdbInfoId] = 100 + float64(k)
  637. }
  638. formulaStr = strings.ToUpper(formulaStr)
  639. // 预设里的max和min无需特殊处理
  640. valArrMax := make(map[int]float64)
  641. formulaFormStr := ReplaceFormula(edbInfoArr, valArr, valArrMax, formulaMap, formulaStr, edbInfoIdBytes, false)
  642. if formulaFormStr == "" {
  643. return
  644. }
  645. _, err = engine.ParseAndExec(formulaFormStr)
  646. if err != nil {
  647. fmt.Println(err)
  648. } else {
  649. ok = true
  650. }
  651. return
  652. }
  653. // 处理整个数据
  654. func HandleDateSaveDataMap(dateList []string, maxStartDate, minLatestDate time.Time, realSaveDataMap, saveDataMap map[string]map[int]float64, edbInfoIdArr []*EdbInfo, emptyType int) {
  655. for _, date := range dateList {
  656. dateTime, _ := time.ParseInLocation(utils.FormatDate, date, time.Local)
  657. // 如果当前日期早于数据的最大开始日期,那么不处理,进入下一个循环
  658. if dateTime.Before(maxStartDate) {
  659. continue
  660. }
  661. // todo 规则是否生效如果当前日期晚于数据的最小结束日期,那么不处理,直接返回了
  662. if dateTime.After(minLatestDate) {
  663. return
  664. }
  665. tmpDataMap := realSaveDataMap[date]
  666. for _, edbInfo := range edbInfoIdArr {
  667. tmpEdbInfoId := edbInfo.EdbInfoId // 当前指标id
  668. // 如果该日期不存在该指标数据,那么需要找寻前后日期的数据,进行填补
  669. if _, ok := tmpDataMap[tmpEdbInfoId]; !ok {
  670. switch emptyType {
  671. case 0:
  672. handleDateDataMap(realSaveDataMap, saveDataMap, date, tmpEdbInfoId, 35)
  673. case 2:
  674. handleDateDataMapBefore(realSaveDataMap, saveDataMap, date, tmpEdbInfoId, edbInfo.StartDate, edbInfo.EndDate)
  675. case 3:
  676. handleDateDataMapAfter(realSaveDataMap, saveDataMap, date, tmpEdbInfoId, edbInfo.StartDate, edbInfo.EndDate)
  677. case 4:
  678. handleDateDataMapZero(saveDataMap, date, tmpEdbInfoId)
  679. }
  680. }
  681. }
  682. }
  683. }
  684. // handleDateDataMap 前后35天 处理单个日期的数据
  685. func handleDateDataMap(realSaveDataMap, saveDataMap map[string]map[int]float64, date string, edbInfoId, day int) {
  686. currDate, _ := time.ParseInLocation(utils.FormatDate, date, time.Local)
  687. // 后一天
  688. nextDateDayStr := currDate.AddDate(0, 0, 1).Format(utils.FormatDate)
  689. // 前一天
  690. preDateDayStr := currDate.AddDate(0, 0, -1).Format(utils.FormatDate)
  691. for i := 1; i <= day; i++ {
  692. // 下个日期的数据
  693. {
  694. if i >= 1 {
  695. nextDateDayStr = currDate.AddDate(0, 0, i).Format(utils.FormatDate)
  696. }
  697. if findDataMap, hasFindDataMap := realSaveDataMap[nextDateDayStr]; hasFindDataMap { // 下一个日期有数据
  698. if val, hasFindItem := findDataMap[edbInfoId]; hasFindItem {
  699. fmt.Println(fmt.Sprintf("date:%s, 无值,取%s的值%.4f", date, nextDateDayStr, val))
  700. saveDataMap[date][edbInfoId] = val
  701. return
  702. }
  703. }
  704. }
  705. // 上个日期的数据
  706. {
  707. if i >= 1 {
  708. preDateDayStr = currDate.AddDate(0, 0, -i).Format(utils.FormatDate)
  709. }
  710. if findDataMap, hasFindDataMap := realSaveDataMap[preDateDayStr]; hasFindDataMap { // 下一个日期有数据
  711. if val, hasFindItem := findDataMap[edbInfoId]; hasFindItem {
  712. fmt.Println(fmt.Sprintf("date:%s, 无值,取%s的值%.4f", date, preDateDayStr, val))
  713. saveDataMap[date][edbInfoId] = val
  714. return
  715. }
  716. }
  717. }
  718. }
  719. }
  720. // handleDateDataMapBefore 前值填充:空值优先以最近的前值填充,没有前值时,用后值填充
  721. func handleDateDataMapBefore(realSaveDataMap, saveDataMap map[string]map[int]float64, date string, edbInfoId int, startDate, endDate string) {
  722. currDate, _ := time.ParseInLocation(utils.FormatDate, date, time.Local)
  723. // 前一天
  724. preDateDay := currDate
  725. startDateT, _ := time.ParseInLocation(utils.FormatDate, startDate, time.Local)
  726. endDateT, _ := time.ParseInLocation(utils.FormatDate, endDate, time.Local)
  727. if currDate.Before(startDateT) {
  728. if findDataMap, hasFindDataMap := realSaveDataMap[startDate]; hasFindDataMap { // 下一个日期有数据
  729. if val, hasFindItem := findDataMap[edbInfoId]; hasFindItem {
  730. saveDataMap[date][edbInfoId] = val
  731. return
  732. }
  733. }
  734. return
  735. }
  736. if currDate.After(endDateT) {
  737. if findDataMap, hasFindDataMap := realSaveDataMap[endDate]; hasFindDataMap { // 下一个日期有数据
  738. if val, hasFindItem := findDataMap[edbInfoId]; hasFindItem {
  739. saveDataMap[date][edbInfoId] = val
  740. return
  741. }
  742. }
  743. }
  744. for i := 1; preDateDay.After(startDateT) || preDateDay == startDateT; i++ {
  745. // 上个日期的数据
  746. {
  747. preDateDay = currDate.AddDate(0, 0, -i)
  748. preDateDayStr := preDateDay.Format(utils.FormatDate)
  749. if findDataMap, hasFindDataMap := realSaveDataMap[preDateDayStr]; hasFindDataMap { // 下一个日期有数据
  750. if val, hasFindItem := findDataMap[edbInfoId]; hasFindItem {
  751. saveDataMap[date][edbInfoId] = val
  752. return
  753. }
  754. }
  755. }
  756. }
  757. return
  758. }
  759. // handleDateDataMapAfter 后值填充:空值优先以最近的后值填充,没有后值时,用前值填充
  760. func handleDateDataMapAfter(realSaveDataMap, saveDataMap map[string]map[int]float64, date string, edbInfoId int, startDate, endDate string) {
  761. currDate, _ := time.ParseInLocation(utils.FormatDate, date, time.Local)
  762. // 后一天
  763. nextDateDay := currDate
  764. startDateT, _ := time.ParseInLocation(utils.FormatDate, startDate, time.Local)
  765. endDateT, _ := time.ParseInLocation(utils.FormatDate, endDate, time.Local)
  766. if currDate.Before(startDateT) {
  767. if findDataMap, hasFindDataMap := realSaveDataMap[startDate]; hasFindDataMap { // 下一个日期有数据
  768. if val, hasFindItem := findDataMap[edbInfoId]; hasFindItem {
  769. saveDataMap[date][edbInfoId] = val
  770. return
  771. }
  772. }
  773. return
  774. }
  775. if currDate.After(endDateT) {
  776. if findDataMap, hasFindDataMap := realSaveDataMap[endDate]; hasFindDataMap { // 下一个日期有数据
  777. if val, hasFindItem := findDataMap[edbInfoId]; hasFindItem {
  778. saveDataMap[date][edbInfoId] = val
  779. return
  780. }
  781. }
  782. }
  783. for i := 1; nextDateDay.Before(endDateT) || nextDateDay == endDateT; i++ {
  784. // 下个日期的数据
  785. {
  786. nextDateDay = currDate.AddDate(0, 0, i)
  787. nextDateDayStr := nextDateDay.Format(utils.FormatDate)
  788. if findDataMap, hasFindDataMap := realSaveDataMap[nextDateDayStr]; hasFindDataMap { // 下一个日期有数据
  789. if val, hasFindItem := findDataMap[edbInfoId]; hasFindItem {
  790. saveDataMap[date][edbInfoId] = val
  791. return
  792. }
  793. }
  794. }
  795. }
  796. return
  797. }
  798. // handleDateDataMapZero 等于0
  799. func handleDateDataMapZero(saveDataMap map[string]map[int]float64, date string, edbInfoId int) {
  800. saveDataMap[date][edbInfoId] = 0
  801. return
  802. }
  803. func GetMaxMinEdbInfo(formula string) string {
  804. flag := 0
  805. for k, v := range formula {
  806. if v >= 65 && v <= 122 {
  807. // 从左边找到第一个左括号的位置,往前截取三个字符,判断是不是max或者min,如果是的话,把该入参改成小写
  808. for i := k; i >= 4; i-- {
  809. if formula[i:i+1] == "(" && flag >= 1 {
  810. t := formula[i-4 : i]
  811. if t == "[@@]" || t == "[@!]" {
  812. formula = formula[:k] + strings.ToLower(formula[k:k+1]) + formula[k+1:]
  813. }
  814. break
  815. }
  816. }
  817. } else if formula[k:k+1] == "(" {
  818. flag += 1
  819. } else if formula[k:k+1] == ")" {
  820. flag -= 1
  821. }
  822. }
  823. return formula
  824. }
  825. // PredictRuleCalculateByNineResp 获取预测指标规则9的绘图数据返回
  826. type PredictRuleCalculateByNineResp struct {
  827. LatestDate string
  828. DataList interface{}
  829. }
  830. // BatchEdbInfoCalculateBatchSaveResp 批量添加 计算指标 返回数据
  831. type BatchEdbInfoCalculateBatchSaveResp struct {
  832. Fail []BatchEdbInfoCalculateBatchSaveFailResp `description:"添加失败的指标"`
  833. Success []BatchEdbInfoCalculateBatchSaveSuccessResp `description:"添加成功的指标"`
  834. }
  835. // BatchEdbInfoCalculateBatchSaveFailResp 添加失败的指标信息
  836. type BatchEdbInfoCalculateBatchSaveFailResp struct {
  837. CalculateId string `description:"当前请求时,单个计算的唯一标识"`
  838. Msg string `description:"用户提示信息"`
  839. ErrMsg string `description:"错误信息,内部查看"`
  840. }
  841. // BatchEdbInfoCalculateBatchSaveSuccessResp 添加成功的指标信息
  842. type BatchEdbInfoCalculateBatchSaveSuccessResp struct {
  843. ClassifyId int `description:"分类id"`
  844. CalculateId string `description:"当前请求时,单个计算的唯一标识"`
  845. EdbInfoId int `description:"指标ID"`
  846. UniqueCode string `description:"指标唯一编码"`
  847. }