base_from_calculate.go 37 KB

12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152535455565758596061626364656667686970717273747576777879808182838485868788899091929394959697989910010110210310410510610710810911011111211311411511611711811912012112212312412512612712812913013113213313413513613713813914014114214314414514614714814915015115215315415515615715815916016116216316416516616716816917017117217317417517617717817918018118218318418518618718818919019119219319419519619719819920020120220320420520620720820921021121221321421521621721821922022122222322422522622722822923023123223323423523623723823924024124224324424524624724824925025125225325425525625725825926026126226326426526626726826927027127227327427527627727827928028128228328428528628728828929029129229329429529629729829930030130230330430530630730830931031131231331431531631731831932032132232332432532632732832933033133233333433533633733833934034134234334434534634734834935035135235335435535635735835936036136236336436536636736836937037137237337437537637737837938038138238338438538638738838939039139239339439539639739839940040140240340440540640740840941041141241341441541641741841942042142242342442542642742842943043143243343443543643743843944044144244344444544644744844945045145245345445545645745845946046146246346446546646746846947047147247347447547647747847948048148248348448548648748848949049149249349449549649749849950050150250350450550650750850951051151251351451551651751851952052152252352452552652752852953053153253353453553653753853954054154254354454554654754854955055155255355455555655755855956056156256356456556656756856957057157257357457557657757857958058158258358458558658758858959059159259359459559659759859960060160260360460560660760860961061161261361461561661761861962062162262362462562662762862963063163263363463563663763863964064164264364464564664764864965065165265365465565665765865966066166266366466566666766866967067167267367467567667767867968068168268368468568668768868969069169269369469569669769869970070170270370470570670770870971071171271371471571671771871972072172272372472572672772872973073173273373473573673773873974074174274374474574674774874975075175275375475575675775875976076176276376476576676776876977077177277377477577677777877978078178278378478578678778878979079179279379479579679779879980080180280380480580680780880981081181281381481581681781881982082182282382482582682782882983083183283383483583683783883984084184284384484584684784884985085185285385485585685785885986086186286386486586686786886987087187287387487587687787887988088188288388488588688788888989089189289389489589689789889990090190290390490590690790890991091191291391491591691791891992092192292392492592692792892993093193293393493593693793893994094194294394494594694794894995095195295395495595695795895996096196296396496596696796896997097197297397497597697797897998098198298398498598698798898999099199299399499599699799899910001001100210031004100510061007100810091010101110121013
  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. //o := orm.NewOrm()
  45. //to, err := o.Begin()
  46. to := global.DEFAULT_DmSQL.Begin()
  47. if err != nil {
  48. return
  49. }
  50. defer func() {
  51. if err != nil {
  52. fmt.Println("AddCalculateHcz,Err:" + err.Error())
  53. _ = to.Rollback()
  54. } else {
  55. _ = to.Commit()
  56. }
  57. }()
  58. edbInfo = &EdbInfo{
  59. EdbInfoId: 0,
  60. SourceName: "指标运算",
  61. Source: utils.DATA_SOURCE_CALCULATE,
  62. EdbCode: edbCode,
  63. EdbName: req.EdbName,
  64. EdbNameSource: req.EdbName,
  65. Frequency: req.Frequency,
  66. Unit: req.Unit,
  67. StartDate: "",
  68. EndDate: "",
  69. ClassifyId: req.ClassifyId,
  70. SysUserId: req.AdminId,
  71. SysUserRealName: req.AdminName,
  72. UniqueCode: uniqueCode,
  73. CreateTime: time.Now(),
  74. ModifyTime: time.Now(),
  75. MinValue: 0,
  76. MaxValue: 0,
  77. CalculateFormula: req.CalculateFormula,
  78. EdbType: 2,
  79. Sort: GetAddEdbMaxSortByClassifyId(req.ClassifyId, utils.EDB_INFO_TYPE),
  80. MoveType: 0,
  81. MoveFrequency: "",
  82. NoUpdate: 0,
  83. ServerUrl: "",
  84. EdbInfoType: 0,
  85. EdbNameEn: req.EdbName,
  86. UnitEn: req.Unit,
  87. LatestDate: "",
  88. LatestValue: 0,
  89. ChartImage: "",
  90. EmptyType: req.EmptyType,
  91. MaxEmptyType: req.MaxEmptyType,
  92. Extra: req.Extra,
  93. }
  94. //lastId, err := to.Insert(edbInfo)
  95. err = to.Create(edbInfo).Error
  96. if err != nil {
  97. return
  98. }
  99. //edbInfo.EdbInfoId = int(lastId)
  100. edbInfoTag := make(map[string]int)
  101. //关联关系表
  102. {
  103. //处理关联指标
  104. for _, v := range calculateMappingList {
  105. edbInfoTag[v.FromTag] = v.FromEdbInfoId
  106. v.EdbCode = edbCode
  107. v.EdbInfoId = edbInfo.EdbInfoId
  108. }
  109. if len(calculateMappingList) > 0 {
  110. //_, err = to.InsertMulti(len(calculateMappingList), calculateMappingList)
  111. err = to.CreateInBatches(calculateMappingList, len(calculateMappingList)).Error
  112. if err != nil {
  113. return
  114. }
  115. }
  116. }
  117. //计算数据
  118. err = refreshAllCalculate(to, edbInfoList, edbInfoTag, edbInfo.EdbInfoId, edbInfo.Source, edbInfo.SubSource, edbInfo.EdbCode, edbInfo.CalculateFormula, "", "", edbInfoIdBytes, edbInfo.EmptyType, edbInfo.MaxEmptyType, edbInfo.Extra)
  119. return
  120. }
  121. // EditCalculateInfo 编辑计算(运算)指标
  122. func EditCalculateInfo(edbInfo *EdbInfo, req EdbInfoCalculateSaveReq, formulaSlice []string, edbInfoIdBytes []string, needCalculate bool) (err error, errMsg string) {
  123. //o := orm.NewOrm()
  124. //to, err := o.Begin()
  125. to := global.DEFAULT_DmSQL.Begin()
  126. if err != nil {
  127. return
  128. }
  129. defer func() {
  130. if err != nil {
  131. fmt.Println("AddCalculateHcz,Err:" + err.Error())
  132. _ = to.Rollback()
  133. } else {
  134. _ = to.Commit()
  135. }
  136. }()
  137. // 修改指标信息
  138. edbInfo.EdbName = req.EdbName
  139. edbInfo.EdbNameEn = req.EdbNameEn
  140. edbInfo.EdbNameSource = req.EdbName
  141. edbInfo.Frequency = req.Frequency
  142. edbInfo.Unit = req.Unit
  143. edbInfo.UnitEn = req.UnitEn
  144. edbInfo.ClassifyId = req.ClassifyId
  145. edbInfo.CalculateFormula = req.CalculateFormula
  146. edbInfo.ModifyTime = time.Now()
  147. edbInfo.EmptyType = req.EmptyType
  148. edbInfo.MaxEmptyType = req.MaxEmptyType
  149. edbInfo.Extra = req.Extra
  150. //_, err = to.Update(edbInfo, "EdbName", "EdbNameSource", "Frequency", "Unit", "EdbNameEn", "UnitEn", "ClassifyId", "CalculateFormula", "ModifyTime", "EmptyType", "MaxEmptyType", "Extra")
  151. err = to.Model(edbInfo).Updates(edbInfo).Error
  152. if err != nil {
  153. return
  154. }
  155. if needCalculate {
  156. // 清除计算数据
  157. sql := `DELETE FROM edb_data_calculate WHERE edb_info_id=?`
  158. //_, err = to.Raw(sql, edbInfo.EdbInfoId).Exec()
  159. err = to.Exec(sql, edbInfo.EdbInfoId).Error
  160. if err != nil {
  161. return
  162. }
  163. // 清除关联关系表
  164. sql = `DELETE FROM edb_info_calculate_mapping WHERE edb_info_id=?`
  165. //_, err = to.Raw(sql, edbInfo.EdbInfoId).Exec()
  166. err = to.Exec(sql, edbInfo.EdbInfoId).Error
  167. if err != nil {
  168. return
  169. }
  170. edbInfoList := make([]*EdbInfo, 0)
  171. calculateMappingList := make([]*EdbInfoCalculateMapping, 0)
  172. edbInfoTag := make(map[string]int)
  173. for k, v := range req.EdbInfoIdArr {
  174. edbInfoTag[v.FromTag] = v.EdbInfoId
  175. fromEdbInfo, tmpErr := GetEdbInfoById(v.EdbInfoId)
  176. if tmpErr != nil {
  177. err = tmpErr
  178. return
  179. }
  180. edbInfoList = append(edbInfoList, fromEdbInfo)
  181. //关联关系表
  182. {
  183. calculateMappingItem := &EdbInfoCalculateMapping{
  184. EdbInfoCalculateMappingId: 0,
  185. EdbInfoId: req.EdbInfoId,
  186. Source: edbInfo.Source,
  187. SourceName: edbInfo.SourceName,
  188. EdbCode: edbInfo.EdbCode,
  189. FromEdbInfoId: fromEdbInfo.EdbInfoId,
  190. FromEdbCode: fromEdbInfo.EdbCode,
  191. FromEdbName: fromEdbInfo.EdbName,
  192. FromSource: fromEdbInfo.Source,
  193. FromSourceName: fromEdbInfo.SourceName,
  194. FromTag: v.FromTag,
  195. Sort: k + 1,
  196. CreateTime: time.Now(),
  197. ModifyTime: time.Now(),
  198. }
  199. calculateMappingList = append(calculateMappingList, calculateMappingItem)
  200. }
  201. }
  202. for _, v := range formulaSlice {
  203. formulaMap, e := utils.CheckFormula(v)
  204. if e != nil {
  205. err = fmt.Errorf("公式错误,请重新填写")
  206. return
  207. }
  208. //预先计算,判断公式是否正常
  209. ok, _ := CheckFormula2(edbInfoList, formulaMap, v, edbInfoIdBytes)
  210. if !ok {
  211. errMsg = "生成计算指标失败,请使用正确的计算公式"
  212. err = errors.New(errMsg)
  213. return
  214. }
  215. }
  216. //关联关系表
  217. {
  218. if len(calculateMappingList) > 0 {
  219. //_, err = to.InsertMulti(len(calculateMappingList), calculateMappingList)
  220. err = to.CreateInBatches(calculateMappingList, len(calculateMappingList)).Error
  221. if err != nil {
  222. return
  223. }
  224. }
  225. }
  226. //计算数据
  227. err = refreshAllCalculate(to, edbInfoList, edbInfoTag, edbInfo.EdbInfoId, edbInfo.Source, edbInfo.SubSource, edbInfo.EdbCode, edbInfo.CalculateFormula, "", "", edbInfoIdBytes, edbInfo.EmptyType, edbInfo.MaxEmptyType, edbInfo.Extra)
  228. }
  229. return
  230. }
  231. // GetCalculateEdbInfo 获取计算指标的关联指标id
  232. func GetCalculateEdbInfo(edbInfoId int) (from_edb_info_id string, err error) {
  233. //o := orm.NewOrm()
  234. sql := ` SELECT GROUP_CONCAT(from_edb_info_id ORDER BY sort ASC SEPARATOR ',') AS from_edb_info_id
  235. FROM edb_info_calculate_mapping
  236. WHERE edb_info_id=?
  237. GROUP BY edb_info_id
  238. `
  239. //err = o.Raw(sql, edbInfoId).QueryRow(&from_edb_info_id)
  240. err = global.DEFAULT_DmSQL.Raw(sql, edbInfoId).Find(&from_edb_info_id).Error
  241. return
  242. }
  243. // DeleteCalculateEdbInfo 删除指标信息
  244. func DeleteCalculateEdbInfo(edbInfoId int) (err error) {
  245. //o := orm.NewOrm()
  246. //to, err := o.Begin()
  247. to := global.DEFAULT_DmSQL.Begin()
  248. if err != nil {
  249. return
  250. }
  251. defer func() {
  252. if err != nil {
  253. _ = to.Rollback()
  254. } else {
  255. _ = to.Commit()
  256. }
  257. }()
  258. sql := `DELETE FROM edb_data_calculate WHERE edb_info_id=?`
  259. //_, err = to.Raw(sql, edbInfoId).Exec()
  260. err = to.Exec(sql, edbInfoId).Error
  261. if err != nil {
  262. return
  263. }
  264. sql = `DELETE FROM edb_info_calculate_mapping WHERE edb_info_id=?`
  265. //_, err = to.Raw(sql, edbInfoId).Exec()
  266. err = to.Exec(sql, edbInfoId).Error
  267. return
  268. }
  269. // RefreshAllCalculate 刷新全部数据
  270. 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) {
  271. //o := orm.NewOrm()
  272. //to, err := o.Begin()
  273. to := global.DEFAULT_DmSQL.Begin()
  274. if err != nil {
  275. return
  276. }
  277. defer func() {
  278. if err != nil {
  279. fmt.Println("RefreshAllCalculate,Err:" + err.Error())
  280. _ = to.Rollback()
  281. } else {
  282. _ = to.Commit()
  283. }
  284. }()
  285. fmt.Println(startDate, endDate)
  286. //计算数据
  287. err = refreshAllCalculate(to, edbInfoIdArr, edbInfoTag, edbInfoId, source, subSource, edbCode, formulaStr, startDate, endDate, edbInfoIdBytes, emptyType, maxEmptyType, extra)
  288. return
  289. }
  290. // refreshAllCalculate 刷新全部数据
  291. 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) {
  292. realSaveDataMap := make(map[string]map[int]float64)
  293. saveDataMap := make(map[string]map[int]float64)
  294. // 最小的结束日期 , 最晚的数据开始日期
  295. var minLatestDate, maxStartDate time.Time
  296. dateList := make([]string, 0) // 最终的日期数据
  297. dateMap := make(map[string]struct{}) // 最终的日期数据
  298. dateTagConfig := ""
  299. if extra != "" {
  300. var dateConfig CalculateEdbExtra
  301. err = json.Unmarshal([]byte(extra), &dateConfig)
  302. if err != nil {
  303. err = fmt.Errorf("refreshAllCalculate,extra解析失败,Err:%s", err.Error())
  304. return
  305. }
  306. dateTagConfig = dateConfig.DateTag
  307. }
  308. for edbInfoIndex, v := range edbInfoIdArr {
  309. dataList, err := GetEdbDataListAllByTo(to, v.Source, v.SubSource, FindEdbDataListAllCond{
  310. EdbInfoId: v.EdbInfoId,
  311. StartDataTime: startDate,
  312. StartDataTimeCond: ">=",
  313. }, 1)
  314. if err != nil {
  315. return err
  316. }
  317. for _, dv := range dataList {
  318. if val, ok := realSaveDataMap[dv.DataTime]; ok {
  319. if _, ok := val[v.EdbInfoId]; !ok {
  320. val[v.EdbInfoId] = dv.Value
  321. }
  322. } else {
  323. temp := make(map[int]float64)
  324. temp[v.EdbInfoId] = dv.Value
  325. realSaveDataMap[dv.DataTime] = temp
  326. }
  327. // saveDataMap
  328. if val, ok := saveDataMap[dv.DataTime]; ok {
  329. if _, ok := val[v.EdbInfoId]; !ok {
  330. val[v.EdbInfoId] = dv.Value
  331. }
  332. } else {
  333. temp2 := make(map[int]float64)
  334. temp2[v.EdbInfoId] = dv.Value
  335. saveDataMap[dv.DataTime] = temp2
  336. }
  337. if dateTagConfig == "all" {
  338. if _, ok := dateMap[dv.DataTime]; !ok {
  339. dateList = append(dateList, dv.DataTime)
  340. dateMap[dv.DataTime] = struct{}{}
  341. }
  342. } else if dateTagConfig == "" { // 默认取第一个指标的时间序列
  343. if edbInfoIndex == 0 {
  344. if _, ok := dateMap[dv.DataTime]; !ok {
  345. dateList = append(dateList, dv.DataTime)
  346. dateMap[dv.DataTime] = struct{}{}
  347. }
  348. }
  349. } else {
  350. if eId, ok := edbInfoTag[dateTagConfig]; ok {
  351. if v.EdbInfoId == eId {
  352. if _, ok1 := dateMap[dv.DataTime]; !ok1 {
  353. dateList = append(dateList, dv.DataTime)
  354. dateMap[dv.DataTime] = struct{}{}
  355. }
  356. }
  357. }
  358. }
  359. }
  360. }
  361. // 处理最大日期和最小日期
  362. for _, v := range dateList {
  363. tmpDate, _ := time.ParseInLocation(utils.FormatDate, v, time.Local)
  364. if minLatestDate.IsZero() || tmpDate.After(minLatestDate) {
  365. minLatestDate = tmpDate
  366. }
  367. if maxStartDate.IsZero() || tmpDate.Before(maxStartDate) {
  368. maxStartDate = tmpDate
  369. }
  370. }
  371. //数据处理,将日期内不全的数据做补全
  372. HandleDateSaveDataMap(dateList, maxStartDate, minLatestDate, realSaveDataMap, saveDataMap, edbInfoIdArr, emptyType)
  373. formulaDateSlice, formulaDateMap, err := utils.HandleFormulaJson(formulaStr, minLatestDate)
  374. if err != nil {
  375. return
  376. }
  377. addSql := ` INSERT INTO edb_data_calculate(edb_info_id,edb_code,data_time,value,create_time,modify_time,data_timestamp) values `
  378. var isAdd bool
  379. dataTableName := GetEdbDataTableName(source, subSource)
  380. //获取指标所有数据
  381. dataList, err := GetAllEdbDataListByTo(to, source, subSource, edbInfoId)
  382. if err != nil {
  383. return err
  384. }
  385. dataMap := make(map[string]string)
  386. removeDateMap := make(map[string]string) //需要移除的日期
  387. for _, v := range dataList {
  388. dataMap[v.DataTime] = v.Value
  389. removeDateMap[v.DataTime] = v.DataTime
  390. }
  391. edbInfoIdStr := strconv.Itoa(edbInfoId)
  392. existDataMap := make(map[string]string)
  393. // 判断是否特殊处理max和min函数
  394. maxDealFlag := false
  395. if emptyType == 4 && maxEmptyType == 2 {
  396. maxDealFlag = true
  397. }
  398. for sk, sv := range saveDataMap {
  399. // 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
  400. if emptyType == 1 {
  401. if len(sv) != len(edbInfoIdArr) {
  402. continue
  403. }
  404. }
  405. //fmt.Println(sk, sv)
  406. // 根据时间范围,选择对应的公式
  407. formulaMap := make(map[string]string)
  408. formulaStr = ""
  409. for _, fv := range formulaDateSlice {
  410. if sk < fv {
  411. if f, ok := formulaDateMap[fv]; ok {
  412. formulaStr = f
  413. formulaMap, err = utils.CheckFormula(formulaStr)
  414. if err != nil {
  415. err = fmt.Errorf("公式错误,请重新填写")
  416. return
  417. }
  418. }
  419. break
  420. }
  421. }
  422. if formulaStr == "" {
  423. continue
  424. }
  425. svMax := make(map[int]float64)
  426. if maxDealFlag {
  427. // 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
  428. if svMaxData, ok := realSaveDataMap[sk]; ok {
  429. svMax = svMaxData
  430. }
  431. }
  432. formulaStr = strings.ToUpper(formulaStr)
  433. formulaFormStr := ReplaceFormula(edbInfoIdArr, sv, svMax, formulaMap, formulaStr, edbInfoIdBytes, maxDealFlag)
  434. //计算公式异常,那么就移除该指标
  435. if formulaFormStr == `` {
  436. //removeDateList = append(removeDateList, sk)
  437. continue
  438. }
  439. //utils.FileLog.Info(fmt.Sprintf("formulaFormStr:%s", formulaFormStr))
  440. fmt.Println(fmt.Sprintf("%s:formulaFormStr:%s", sk, formulaFormStr))
  441. //expression := formula.NewExpression(formulaFormStr)
  442. //calResult, err := expression.Evaluate()
  443. //if err != nil {
  444. // // 分母为0的报错
  445. // if strings.Contains(err.Error(), "divide by zero") {
  446. // //removeDateList = append(removeDateList, sk)
  447. // continue
  448. // }
  449. // err = errors.New("计算失败:Err:" + err.Error() + ";formulaStr:" + formulaFormStr)
  450. // fmt.Println(err)
  451. // return err
  452. //}
  453. //// 如果计算结果是NAN,那么就退出当前循环
  454. //if calResult.IsNan() {
  455. // continue
  456. //}
  457. calVal, err := engine.ParseAndExec(formulaFormStr)
  458. //calVal, err := calResult.Float64()
  459. if err != nil {
  460. // 分母为0的报错,忽略该循环
  461. if utils.IsDivideZero(err) {
  462. //removeDateList = append(removeDateList, sk)
  463. continue
  464. }
  465. err = errors.New("计算失败:获取计算值失败 Err:" + err.Error() + ";formulaStr:" + formulaFormStr)
  466. fmt.Println(err)
  467. return err
  468. }
  469. nanCheck := fmt.Sprintf("%0.f", calVal)
  470. // 分母为0.0的报错
  471. if nanCheck == "NaN" || nanCheck == "+Inf" || nanCheck == "-Inf" {
  472. continue
  473. }
  474. // 有计算出来值,那么就从待删除指标中移除
  475. delete(removeDateMap, sk)
  476. saveValue := decimal.NewFromFloat(calVal).Round(4).String() //utils.SubFloatToString(calVal, 4)
  477. if existVal, ok := dataMap[sk]; !ok {
  478. dataTime, _ := time.ParseInLocation(utils.FormatDate, sk, time.Local)
  479. timestamp := dataTime.UnixNano() / 1e6
  480. timeStr := fmt.Sprintf("%d", timestamp)
  481. if _, existOk := existDataMap[sk]; !existOk {
  482. addSql += GetAddSql(edbInfoIdStr, edbCode, sk, timeStr, saveValue)
  483. isAdd = true
  484. }
  485. existDataMap[sk] = sk
  486. } else {
  487. existValDecimal, err := decimal.NewFromString(existVal)
  488. existStr := existValDecimal.String()
  489. if existStr != saveValue {
  490. sql := ` UPDATE %s SET value=?,modify_time=NOW() WHERE edb_info_id=? AND data_time=? `
  491. sql = fmt.Sprintf(sql, dataTableName)
  492. //_, err = to.Raw(sql, saveValue, edbInfoId, sk).Exec()
  493. err = to.Exec(sql, saveValue, edbInfoId, sk).Error
  494. if err != nil {
  495. return err
  496. }
  497. }
  498. }
  499. }
  500. if isAdd {
  501. addSql = strings.TrimRight(addSql, ",")
  502. //_, err = to.Raw(addSql).Exec()
  503. err = to.Exec(addSql).Error
  504. if err != nil {
  505. fmt.Println("RefreshAllCalculate add Err", err.Error())
  506. return
  507. }
  508. }
  509. if len(removeDateMap) > 0 {
  510. removeDateList := make([]string, 0) //需要移除的日期
  511. for k := range removeDateMap {
  512. removeDateList = append(removeDateList, k)
  513. }
  514. removeDateStr := strings.Join(removeDateList, `","`)
  515. removeDateStr = `"` + removeDateStr + `"`
  516. //如果拼接指标变更了,那么需要删除所有的指标数据
  517. tableName := GetEdbDataTableName(source, subSource)
  518. sql := fmt.Sprintf(` DELETE FROM %s WHERE edb_info_id = ? and data_time in (%s) `, tableName, removeDateStr)
  519. //_, err = to.Raw(sql, edbInfoId).Exec()
  520. err = to.Exec(sql, edbInfoId).Error
  521. if err != nil {
  522. err = fmt.Errorf("删除计算失败的计算指标数据失败,Err:" + err.Error())
  523. return
  524. }
  525. }
  526. return
  527. }
  528. // ReplaceFormula 替换计算方式
  529. func ReplaceFormula(edbInfoIdArr []*EdbInfo, valArr, valArrMax map[int]float64, formulaMap map[string]string, formulaStr string, edbInfoIdBytes []string, maxDealFlag bool) string {
  530. // todo 先处理max和min函数的特殊情况
  531. //if strings.Contains(formulaStr, "MAX") || strings.Contains(formulaStr, "MIN") {
  532. funMap := GetFormulaMap()
  533. for k, v := range funMap {
  534. formulaStr = strings.Replace(formulaStr, k, v, -1)
  535. }
  536. if maxDealFlag {
  537. formulaStr = GetMaxMinEdbInfo(formulaStr)
  538. }
  539. replaceCount := 0
  540. for dk := len(edbInfoIdArr) - 1; dk >= 0; dk-- {
  541. dv := edbInfoIdArr[dk]
  542. //for dk, dv := range edbInfoIdArr {
  543. var isReplace bool
  544. formulaStr, isReplace = GetFormulaReplace(dk, dv.EdbInfoId, formulaStr, edbInfoIdBytes, formulaMap, valArr, valArrMax, maxDealFlag)
  545. if isReplace {
  546. replaceCount++
  547. }
  548. }
  549. for k, v := range funMap {
  550. formulaStr = strings.Replace(formulaStr, v, k, -1)
  551. }
  552. if strings.Contains(formulaStr, "MAX()") || strings.Contains(formulaStr, "MIN()") {
  553. return ""
  554. }
  555. formulaStr = strings.Replace(formulaStr, "MAX", "max", -1)
  556. formulaStr = strings.Replace(formulaStr, "MIN", "min", -1)
  557. formulaStr = strings.Replace(formulaStr, "LN", "ln", -1)
  558. formulaStr = strings.Replace(formulaStr, "LOG", "log", -1)
  559. formulaStr = strings.Replace(formulaStr, "SIN", "sin", -1)
  560. formulaStr = strings.Replace(formulaStr, "COS", "cos", -1)
  561. formulaStr = strings.Replace(formulaStr, "TAN", "tan", -1)
  562. formulaStr = strings.Replace(formulaStr, "COT", "cot", -1)
  563. formulaStr = strings.Replace(formulaStr, "SEC", "sec", -1)
  564. formulaStr = strings.Replace(formulaStr, "CSC", "csc", -1)
  565. formulaStr = strings.Replace(formulaStr, "ABS", "abs", -1)
  566. formulaStr = strings.Replace(formulaStr, "CEIL", "ceil", -1)
  567. formulaStr = strings.Replace(formulaStr, "FLOOR", "floor", -1)
  568. formulaStr = strings.Replace(formulaStr, "ROUND", "round", -1)
  569. formulaStr = strings.Replace(formulaStr, "SQRT", "sqrt", -1)
  570. formulaStr = strings.Replace(formulaStr, "CBRT", "cbrt", -1)
  571. formulaStr = strings.Replace(formulaStr, "NOERR", "noerr", -1)
  572. formulaStr = strings.Replace(formulaStr, "DOUBLE", "double", -1)
  573. if replaceCount == len(formulaMap) {
  574. return formulaStr
  575. } else {
  576. return ""
  577. }
  578. }
  579. func GetFormulaReplace(index, edbInfoId int, formulaStr string, edbInfoIdBytes []string, formulaMap map[string]string, valArr, valArrMax map[int]float64, maxDealFlag bool) (formulaResult string, isReplace bool) {
  580. formulaResult = formulaStr
  581. dKey := edbInfoIdBytes[index]
  582. if _, ok := formulaMap[dKey]; ok { //公式中存在
  583. if val, valOk := valArr[edbInfoId]; valOk { //值存在
  584. dvStr := fmt.Sprintf("%v", val)
  585. formulaResult = strings.Replace(formulaResult, dKey, dvStr, -1)
  586. isReplace = true
  587. if maxDealFlag {
  588. if valM, valMOk := valArrMax[edbInfoId]; valMOk { //值存在
  589. dvMStr := fmt.Sprintf("%v", valM)
  590. formulaResult = strings.Replace(formulaResult, strings.ToLower(dKey), dvMStr, -1)
  591. } else {
  592. formulaResult = strings.Replace(formulaResult, strings.ToLower(dKey)+",", "", -1)
  593. formulaResult = strings.Replace(formulaResult, ","+strings.ToLower(dKey), "", -1)
  594. }
  595. }
  596. }
  597. }
  598. return
  599. }
  600. // GetFormulaMap 获取计算公式的map
  601. func GetFormulaMap() map[string]string {
  602. funMap := make(map[string]string)
  603. funMap["MAX"] = "[@@]"
  604. funMap["MIN"] = "[@!]"
  605. funMap["ABS"] = "[@#]"
  606. funMap["CEIL"] = "[@$]"
  607. funMap["COS"] = "[@%]"
  608. funMap["FLOOR"] = "[@^]"
  609. funMap["MOD"] = "[@&]"
  610. funMap["POW"] = "[@*]"
  611. funMap["ROUND"] = "[@`]"
  612. funMap["LN"] = "[@-]"
  613. funMap["EXP"] = "[@+]"
  614. return funMap
  615. }
  616. // CalculateBatchSaveReq 添加计算指标的请求参数
  617. type CalculateBatchSaveReq struct {
  618. EdbList []*CalculateEdbInfoItem //需要批量计算的指标列表
  619. AdminId int `description:"添加人id"`
  620. AdminName string `description:"添加人名称"`
  621. Formula string `description:"N值/移动天数"`
  622. 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"`
  623. CalculateFormula string `description:"计算公式"`
  624. EdbInfoIdArr []EdbInfoCalculateEdbInfoIdReq `description:"关联指标列表"`
  625. MoveType int `description:"移动方式:1:领先(默认),2:滞后"`
  626. MoveFrequency string `description:"移动频度:天/周/月/季/年"`
  627. Calendar string `description:"公历/农历"`
  628. Data interface{} `description:"数据"`
  629. 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)"`
  630. MaxEmptyType int `description:"MAX、MIN公式空值处理类型(1、等于0;2、跳过空值)"`
  631. Extra string `description:"指标额外配置"`
  632. }
  633. type CalculateEdbInfoItem struct {
  634. EdbInfoId int `description:"指标id"`
  635. EdbName string `description:"指标名称"`
  636. Frequency string `description:"频度"`
  637. Unit string `description:"单位"`
  638. ClassifyId int `description:"分类id"`
  639. CalculateId string `description:"当前请求时,单个计算的唯一标识"`
  640. FromEdbInfoId int `description:"计算来源指标id"`
  641. }
  642. // EdbInfoCalculateBatchSaveReq 添加计算指标的请求参数
  643. type EdbInfoCalculateBatchSaveReq struct {
  644. AdminId int `description:"添加人id"`
  645. AdminName string `description:"添加人名称"`
  646. EdbInfoId int `description:"指标id"`
  647. EdbName string `description:"指标名称"`
  648. Frequency string `description:"频度"`
  649. Unit string `description:"单位"`
  650. ClassifyId int `description:"分类id"`
  651. Formula string `description:"N值/移动天数"`
  652. FromEdbInfoId int `description:"计算来源指标id"`
  653. 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"`
  654. CalculateFormula string `description:"计算公式"`
  655. EdbInfoIdArr []EdbInfoCalculateEdbInfoIdReq `description:"关联指标列表"`
  656. MoveType int `description:"移动方式:1:领先(默认),2:滞后"`
  657. MoveFrequency string `description:"移动频度:天/周/月/季/年"`
  658. Calendar string `description:"公历/农历"`
  659. Data interface{} `description:"数据"`
  660. 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)"`
  661. MaxEmptyType int `description:"MAX、MIN公式空值处理类型(1、等于0;2、跳过空值)"`
  662. Extra string `description:"指标额外配置"`
  663. }
  664. // EdbInfoCalculateEdbInfoIdReq 新增/编辑请求 关联的指标列表
  665. type EdbInfoCalculateEdbInfoIdReq struct {
  666. EdbInfoId int `description:"指标id"`
  667. FromTag string `description:"指标对应标签"`
  668. MoveValue int `description:"移动的值"`
  669. }
  670. // EdbInfoCalculateBatchEditReq 编辑计算指标的请求参数
  671. type EdbInfoCalculateBatchEditReq struct {
  672. EdbName string `description:"指标名称"`
  673. EdbNameEn string `description:"英文指标名称"`
  674. Frequency string `description:"频度"`
  675. Unit string `description:"单位"`
  676. UnitEn string `description:"英文单位"`
  677. ClassifyId int `description:"分类id"`
  678. AdminId int `description:"操作人id"`
  679. AdminName string `description:"操作人姓名"`
  680. Formula string `description:"N值"`
  681. EdbInfoId int `description:"编辑指标id"`
  682. FromEdbInfoId int `description:"计算来源指标id"`
  683. 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"`
  684. MoveType int `description:"移动方式:1:领先(默认),2:滞后"`
  685. MoveFrequency string `description:"移动频度:天/周/月/季/年"`
  686. EdbInfoIdArr []EdbInfoCalculateEdbInfoIdReq `description:"关联指标列表"`
  687. Calendar string `description:"公历/农历" orm:"default(公历)"`
  688. Extra string `description:"指标的额外配置"`
  689. Data interface{} `description:"数据"`
  690. 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)"`
  691. MaxEmptyType int `description:"MAX、MIN公式空值处理类型(1、等于0;2、跳过空值)"`
  692. CalculateFormula string `description:"计算公式"`
  693. }
  694. // 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)
  695. func CheckFormula2(edbInfoArr []*EdbInfo, formulaMap map[string]string, formulaStr string, edbInfoIdBytes []string) (ok bool, err error) {
  696. valArr := make(map[int]float64)
  697. for k, v := range edbInfoArr {
  698. valArr[v.EdbInfoId] = 100 + float64(k)
  699. }
  700. formulaStr = strings.ToUpper(formulaStr)
  701. // 预设里的max和min无需特殊处理
  702. valArrMax := make(map[int]float64)
  703. formulaFormStr := ReplaceFormula(edbInfoArr, valArr, valArrMax, formulaMap, formulaStr, edbInfoIdBytes, false)
  704. if formulaFormStr == "" {
  705. return
  706. }
  707. _, err = engine.ParseAndExec(formulaFormStr)
  708. if err != nil {
  709. fmt.Println(err)
  710. } else {
  711. ok = true
  712. }
  713. //expression := formula.NewExpression(formulaFormStr)
  714. //_, err = expression.Evaluate()
  715. //if err != nil {
  716. //} else {
  717. // ok = true
  718. //}
  719. return
  720. }
  721. // 处理整个数据
  722. func HandleDateSaveDataMap(dateList []string, maxStartDate, minLatestDate time.Time, realSaveDataMap, saveDataMap map[string]map[int]float64, edbInfoIdArr []*EdbInfo, emptyType int) {
  723. for _, date := range dateList {
  724. dateTime, _ := time.ParseInLocation(utils.FormatDate, date, time.Local)
  725. // 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
  726. if dateTime.Before(maxStartDate) {
  727. continue
  728. }
  729. // 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
  730. if dateTime.After(minLatestDate) {
  731. return
  732. }
  733. tmpDataMap := realSaveDataMap[date]
  734. for _, edbInfo := range edbInfoIdArr {
  735. tmpEdbInfoId := edbInfo.EdbInfoId // 当前指标id
  736. // 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
  737. if _, ok := tmpDataMap[tmpEdbInfoId]; !ok {
  738. //day := 0
  739. //switch edbInfo.Frequency {
  740. //case "周度":
  741. // day = 7
  742. //case "旬度":
  743. // day = 15
  744. //case "月度":
  745. // day = 30
  746. //case "季度":
  747. // day = 90
  748. //case "年度":
  749. // day = 365
  750. //}
  751. // 需求池 255 指标运算文案修改,补数据遍历区间修改(2023-3-7 09:37:23修改)
  752. switch emptyType {
  753. case 0:
  754. handleDateDataMap(realSaveDataMap, saveDataMap, date, tmpEdbInfoId, 35)
  755. case 2:
  756. handleDateDataMapBefore(realSaveDataMap, saveDataMap, date, tmpEdbInfoId, edbInfo.StartDate, edbInfo.EndDate)
  757. case 3:
  758. handleDateDataMapAfter(realSaveDataMap, saveDataMap, date, tmpEdbInfoId, edbInfo.StartDate, edbInfo.EndDate)
  759. case 4:
  760. handleDateDataMapZero(saveDataMap, date, tmpEdbInfoId)
  761. }
  762. }
  763. }
  764. }
  765. }
  766. // handleDateDataMap 前后35天 处理单个日期的数据
  767. func handleDateDataMap(realSaveDataMap, saveDataMap map[string]map[int]float64, date string, edbInfoId, day int) {
  768. currDate, _ := time.ParseInLocation(utils.FormatDate, date, time.Local)
  769. // 后一天
  770. nextDateDayStr := currDate.AddDate(0, 0, 1).Format(utils.FormatDate)
  771. // 前一天
  772. preDateDayStr := currDate.AddDate(0, 0, -1).Format(utils.FormatDate)
  773. for i := 1; i <= day; i++ {
  774. // 下个日期的数据
  775. {
  776. if i >= 1 {
  777. nextDateDayStr = currDate.AddDate(0, 0, i).Format(utils.FormatDate)
  778. }
  779. if findDataMap, hasFindDataMap := realSaveDataMap[nextDateDayStr]; hasFindDataMap { // 下一个日期有数据
  780. if val, hasFindItem := findDataMap[edbInfoId]; hasFindItem {
  781. fmt.Println(fmt.Sprintf("date:%s, 无值,取%s的值%.4f", date, nextDateDayStr, val))
  782. saveDataMap[date][edbInfoId] = val
  783. return
  784. }
  785. }
  786. }
  787. // 上个日期的数据
  788. {
  789. if i >= 1 {
  790. preDateDayStr = currDate.AddDate(0, 0, -i).Format(utils.FormatDate)
  791. }
  792. if findDataMap, hasFindDataMap := realSaveDataMap[preDateDayStr]; hasFindDataMap { // 下一个日期有数据
  793. if val, hasFindItem := findDataMap[edbInfoId]; hasFindItem {
  794. fmt.Println(fmt.Sprintf("date:%s, 无值,取%s的值%.4f", date, preDateDayStr, val))
  795. saveDataMap[date][edbInfoId] = val
  796. return
  797. }
  798. }
  799. }
  800. }
  801. }
  802. // 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
  803. func handleDateDataMapBefore(realSaveDataMap, saveDataMap map[string]map[int]float64, date string, edbInfoId int, startDate, endDate string) {
  804. currDate, _ := time.ParseInLocation(utils.FormatDate, date, time.Local)
  805. // 前一天
  806. preDateDay := currDate
  807. startDateT, _ := time.ParseInLocation(utils.FormatDate, startDate, time.Local)
  808. endDateT, _ := time.ParseInLocation(utils.FormatDate, endDate, time.Local)
  809. if currDate.Before(startDateT) {
  810. if findDataMap, hasFindDataMap := realSaveDataMap[startDate]; hasFindDataMap { // 下一个日期有数据
  811. if val, hasFindItem := findDataMap[edbInfoId]; hasFindItem {
  812. //utils.FileLog.Info(fmt.Sprintf("date:%s, 无值,取%s的值%.4f", date, startDate, val))
  813. saveDataMap[date][edbInfoId] = val
  814. return
  815. }
  816. }
  817. return
  818. }
  819. if currDate.After(endDateT) {
  820. if findDataMap, hasFindDataMap := realSaveDataMap[endDate]; hasFindDataMap { // 下一个日期有数据
  821. if val, hasFindItem := findDataMap[edbInfoId]; hasFindItem {
  822. //utils.FileLog.Info(fmt.Sprintf("date:%s, 无值,取%s的值%.4f", date, endDate, val))
  823. saveDataMap[date][edbInfoId] = val
  824. return
  825. }
  826. }
  827. }
  828. for i := 1; preDateDay.After(startDateT) || preDateDay == startDateT; i++ {
  829. // 上个日期的数据
  830. {
  831. preDateDay = currDate.AddDate(0, 0, -i)
  832. preDateDayStr := preDateDay.Format(utils.FormatDate)
  833. if findDataMap, hasFindDataMap := realSaveDataMap[preDateDayStr]; hasFindDataMap { // 下一个日期有数据
  834. if val, hasFindItem := findDataMap[edbInfoId]; hasFindItem {
  835. //utils.FileLog.Info(fmt.Sprintf("date:%s, 无值,取%s的值%.4f", date, preDateDayStr, val))
  836. saveDataMap[date][edbInfoId] = val
  837. return
  838. }
  839. }
  840. }
  841. }
  842. return
  843. }
  844. // 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
  845. func handleDateDataMapAfter(realSaveDataMap, saveDataMap map[string]map[int]float64, date string, edbInfoId int, startDate, endDate string) {
  846. currDate, _ := time.ParseInLocation(utils.FormatDate, date, time.Local)
  847. // 后一天
  848. nextDateDay := currDate
  849. startDateT, _ := time.ParseInLocation(utils.FormatDate, startDate, time.Local)
  850. endDateT, _ := time.ParseInLocation(utils.FormatDate, endDate, time.Local)
  851. if currDate.Before(startDateT) {
  852. if findDataMap, hasFindDataMap := realSaveDataMap[startDate]; hasFindDataMap { // 下一个日期有数据
  853. if val, hasFindItem := findDataMap[edbInfoId]; hasFindItem {
  854. //utils.FileLog.Info(fmt.Sprintf("date:%s, 无值,取%s的值%.4f", date, startDate, val))
  855. saveDataMap[date][edbInfoId] = val
  856. return
  857. }
  858. }
  859. return
  860. }
  861. if currDate.After(endDateT) {
  862. if findDataMap, hasFindDataMap := realSaveDataMap[endDate]; hasFindDataMap { // 下一个日期有数据
  863. if val, hasFindItem := findDataMap[edbInfoId]; hasFindItem {
  864. //utils.FileLog.Info(fmt.Sprintf("date:%s, 无值,取%s的值%.4f", date, endDate, val))
  865. saveDataMap[date][edbInfoId] = val
  866. return
  867. }
  868. }
  869. }
  870. for i := 1; nextDateDay.Before(endDateT) || nextDateDay == endDateT; i++ {
  871. // 下个日期的数据
  872. {
  873. nextDateDay = currDate.AddDate(0, 0, i)
  874. nextDateDayStr := nextDateDay.Format(utils.FormatDate)
  875. if findDataMap, hasFindDataMap := realSaveDataMap[nextDateDayStr]; hasFindDataMap { // 下一个日期有数据
  876. if val, hasFindItem := findDataMap[edbInfoId]; hasFindItem {
  877. //utils.FileLog.Info(fmt.Sprintf("date:%s, 无值,取%s的值%.4f", date, nextDateDayStr, val))
  878. saveDataMap[date][edbInfoId] = val
  879. return
  880. }
  881. }
  882. }
  883. }
  884. return
  885. }
  886. // handleDateDataMapZero 等于0
  887. func handleDateDataMapZero(saveDataMap map[string]map[int]float64, date string, edbInfoId int) {
  888. saveDataMap[date][edbInfoId] = 0
  889. return
  890. }
  891. func GetMaxMinEdbInfo(formula string) string {
  892. flag := 0
  893. for k, v := range formula {
  894. if v >= 65 && v <= 122 {
  895. // 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
  896. for i := k; i >= 4; i-- {
  897. if formula[i:i+1] == "(" && flag >= 1 {
  898. t := formula[i-4 : i]
  899. if t == "[@@]" || t == "[@!]" {
  900. formula = formula[:k] + strings.ToLower(formula[k:k+1]) + formula[k+1:]
  901. }
  902. break
  903. }
  904. }
  905. } else if formula[k:k+1] == "(" {
  906. flag += 1
  907. } else if formula[k:k+1] == ")" {
  908. flag -= 1
  909. }
  910. }
  911. return formula
  912. }
  913. // PredictRuleCalculateByNineResp 获取预测指标规则9的绘图数据返回
  914. type PredictRuleCalculateByNineResp struct {
  915. LatestDate string
  916. DataList interface{}
  917. }
  918. // BatchEdbInfoCalculateBatchSaveResp 批量添加 计算指标 返回数据
  919. type BatchEdbInfoCalculateBatchSaveResp struct {
  920. Fail []BatchEdbInfoCalculateBatchSaveFailResp `description:"添加失败的指标"`
  921. Success []BatchEdbInfoCalculateBatchSaveSuccessResp `description:"添加成功的指标"`
  922. }
  923. // BatchEdbInfoCalculateBatchSaveFailResp 添加失败的指标信息
  924. type BatchEdbInfoCalculateBatchSaveFailResp struct {
  925. CalculateId string `description:"当前请求时,单个计算的唯一标识"`
  926. Msg string `description:"用户提示信息"`
  927. ErrMsg string `description:"错误信息,内部查看"`
  928. }
  929. // BatchEdbInfoCalculateBatchSaveSuccessResp 添加成功的指标信息
  930. type BatchEdbInfoCalculateBatchSaveSuccessResp struct {
  931. ClassifyId int `description:"分类id"`
  932. CalculateId string `description:"当前请求时,单个计算的唯一标识"`
  933. EdbInfoId int `description:"指标ID"`
  934. UniqueCode string `description:"指标唯一编码"`
  935. }