base_from_calculate.go 29 KB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285286287288289290291292293294295296297298299300301302303304305306307308309310311312313314315316317318319320321322323324325326327328329330331332333334335336337338339340341342343344345346347348349350351352353354355356357358359360361362363364365366367368369370371372373374375376377378379380381382383384385386387388389390391392393394395396397398399400401402403404405406407408409410411412413414415416417418419420421422423424425426427428429430431432433434435436437438439440441442443444445446447448449450451452453454455456457458459460461462463464465466467468469470471472473474475476477478479480481482483484485486487488489490491492493494495496497498499500501502503504505506507508509510511512513514515516517518519520521522523524525526527528529530531532533534535536537538539540541542543544545546547548549550551552553554555556557558559560561562563564565566567568569570571572573574575576577578579580581582583584585586587588589590591592593594595596597598599600601602603604605606607608609610611612613614615616617618619620621622623624625626627628629630631632633634635636637638639640641642643644645646647648649650651652653654655656657658659660661662663664665666667668669670671672673674675676677678679680681682683684685686687688689690691692693694695696697698699700701702703704705706707708709710711712713714715716717718719720721722723724725726727728729730731732733734735736737738739740741742743744745746747748749750751752753754755756757758759760761762763764765766767768769770771772773774775776777778779780781782783784785786787788789790791792793794795796797798799800801802803804805806807808809810811812813814815816817818819820821822823824825826827828829830831832833834835836837838839840841842843844845846847848849850851852853854855856857858859860861862863
  1. package models
  2. import (
  3. "errors"
  4. "eta/eta_index_lib/utils"
  5. "fmt"
  6. "github.com/beego/beego/v2/client/orm"
  7. "github.com/shopspring/decimal"
  8. "github.com/yidane/formula"
  9. "strconv"
  10. "strings"
  11. "time"
  12. )
  13. // EdbInfoCalculateSaveReq 计算(运算)指标请求参数
  14. type EdbInfoCalculateSaveReq struct {
  15. AdminId int `description:"添加人id"`
  16. AdminName string `description:"添加人名称"`
  17. EdbInfoId int `description:"指标id"`
  18. EdbName string `description:"指标名称"`
  19. Frequency string `description:"频率"`
  20. Unit string `description:"单位"`
  21. ClassifyId int `description:"分类id"`
  22. CalculateFormula string `description:"计算公式"`
  23. 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)"`
  24. MaxEmptyType int `description:"MAX、MIN公式空值处理类型(1、等于0;2、跳过空值)"`
  25. EdbInfoIdArr []EdbInfoFromTag
  26. }
  27. // EdbInfoFromTag 计算指标的关联指标
  28. type EdbInfoFromTag struct {
  29. EdbInfoId int `description:"指标id"`
  30. FromTag string `description:"指标对应标签"`
  31. }
  32. // CalculateItems 计算(运算)指标信息
  33. type CalculateItems struct {
  34. EdbInfoId int
  35. DataMap map[string]float64
  36. }
  37. // AddCalculateInfo 新增计算(运算)指标
  38. func AddCalculateInfo(req EdbInfoCalculateSaveReq, calculateMappingList []*EdbInfoCalculateMapping, edbInfoList []*EdbInfo, edbCode, uniqueCode string, edbInfoIdBytes []string) (edbInfo *EdbInfo, err error) {
  39. o := orm.NewOrm()
  40. to, err := o.Begin()
  41. if err != nil {
  42. return
  43. }
  44. defer func() {
  45. if err != nil {
  46. fmt.Println("AddCalculateHcz,Err:" + err.Error())
  47. _ = to.Rollback()
  48. } else {
  49. _ = to.Commit()
  50. }
  51. }()
  52. edbInfo = &EdbInfo{
  53. EdbInfoId: 0,
  54. SourceName: "指标运算",
  55. Source: utils.DATA_SOURCE_CALCULATE,
  56. EdbCode: edbCode,
  57. EdbName: req.EdbName,
  58. EdbNameSource: req.EdbName,
  59. Frequency: req.Frequency,
  60. Unit: req.Unit,
  61. StartDate: "",
  62. EndDate: "",
  63. ClassifyId: req.ClassifyId,
  64. SysUserId: req.AdminId,
  65. SysUserRealName: req.AdminName,
  66. UniqueCode: uniqueCode,
  67. CreateTime: time.Now(),
  68. ModifyTime: time.Now(),
  69. MinValue: 0,
  70. MaxValue: 0,
  71. CalculateFormula: req.CalculateFormula,
  72. EdbType: 2,
  73. Sort: 0,
  74. MoveType: 0,
  75. MoveFrequency: "",
  76. NoUpdate: 0,
  77. ServerUrl: "",
  78. EdbInfoType: 0,
  79. EdbNameEn: "",
  80. UnitEn: "",
  81. LatestDate: "",
  82. LatestValue: 0,
  83. ChartImage: "",
  84. EmptyType: req.EmptyType,
  85. MaxEmptyType: req.MaxEmptyType,
  86. }
  87. lastId, err := to.Insert(edbInfo)
  88. if err != nil {
  89. return
  90. }
  91. edbInfo.EdbInfoId = int(lastId)
  92. //关联关系表
  93. {
  94. //处理关联指标
  95. for _, v := range calculateMappingList {
  96. v.EdbCode = edbCode
  97. v.EdbInfoId = edbInfo.EdbInfoId
  98. }
  99. if len(calculateMappingList) > 0 {
  100. _, err = to.InsertMulti(len(calculateMappingList), calculateMappingList)
  101. if err != nil {
  102. return
  103. }
  104. }
  105. }
  106. //计算数据
  107. err = refreshAllCalculate(to, edbInfoList, edbInfo.EdbInfoId, edbInfo.Source, edbInfo.SubSource, edbInfo.EdbCode, edbInfo.CalculateFormula, "", "", edbInfoIdBytes, edbInfo.EmptyType, edbInfo.MaxEmptyType)
  108. return
  109. }
  110. // EditCalculateInfo 编辑计算(运算)指标
  111. func EditCalculateInfo(edbInfo *EdbInfo, req EdbInfoCalculateSaveReq, formulaSlice []string, edbInfoIdBytes []string, needCalculate bool) (err error, errMsg string) {
  112. o := orm.NewOrm()
  113. to, err := o.Begin()
  114. if err != nil {
  115. return
  116. }
  117. defer func() {
  118. if err != nil {
  119. fmt.Println("AddCalculateHcz,Err:" + err.Error())
  120. _ = to.Rollback()
  121. } else {
  122. _ = to.Commit()
  123. }
  124. }()
  125. // 修改指标信息
  126. edbInfo.EdbName = req.EdbName
  127. edbInfo.EdbNameSource = req.EdbName
  128. edbInfo.Frequency = req.Frequency
  129. edbInfo.Unit = req.Unit
  130. edbInfo.ClassifyId = req.ClassifyId
  131. edbInfo.CalculateFormula = req.CalculateFormula
  132. edbInfo.ModifyTime = time.Now()
  133. edbInfo.EmptyType = req.EmptyType
  134. edbInfo.MaxEmptyType = req.MaxEmptyType
  135. _, err = to.Update(edbInfo, "EdbName", "EdbNameSource", "Frequency", "Unit", "ClassifyId", "CalculateFormula", "ModifyTime", "EmptyType", "MaxEmptyType")
  136. if err != nil {
  137. return
  138. }
  139. if needCalculate {
  140. // 清除计算数据
  141. sql := `DELETE FROM edb_data_calculate WHERE edb_info_id=?`
  142. _, err = to.Raw(sql, edbInfo.EdbInfoId).Exec()
  143. if err != nil {
  144. return
  145. }
  146. // 清除关联关系表
  147. sql = `DELETE FROM edb_info_calculate_mapping WHERE edb_info_id=?`
  148. _, err = to.Raw(sql, edbInfo.EdbInfoId).Exec()
  149. if err != nil {
  150. return
  151. }
  152. edbInfoList := make([]*EdbInfo, 0)
  153. calculateMappingList := make([]*EdbInfoCalculateMapping, 0)
  154. for k, v := range req.EdbInfoIdArr {
  155. fromEdbInfo, tmpErr := GetEdbInfoById(v.EdbInfoId)
  156. if tmpErr != nil {
  157. err = tmpErr
  158. return
  159. }
  160. edbInfoList = append(edbInfoList, fromEdbInfo)
  161. //关联关系表
  162. {
  163. calculateMappingItem := &EdbInfoCalculateMapping{
  164. EdbInfoCalculateMappingId: 0,
  165. EdbInfoId: req.EdbInfoId,
  166. Source: edbInfo.Source,
  167. SourceName: edbInfo.SourceName,
  168. EdbCode: edbInfo.EdbCode,
  169. FromEdbInfoId: fromEdbInfo.EdbInfoId,
  170. FromEdbCode: fromEdbInfo.EdbCode,
  171. FromEdbName: fromEdbInfo.EdbName,
  172. FromSource: fromEdbInfo.Source,
  173. FromSourceName: fromEdbInfo.SourceName,
  174. FromTag: v.FromTag,
  175. Sort: k + 1,
  176. CreateTime: time.Now(),
  177. ModifyTime: time.Now(),
  178. }
  179. calculateMappingList = append(calculateMappingList, calculateMappingItem)
  180. }
  181. }
  182. for _, v := range formulaSlice {
  183. formulaMap := utils.CheckFormula(v)
  184. //预先计算,判断公式是否正常
  185. ok, _ := CheckFormula2(edbInfoList, formulaMap, v, edbInfoIdBytes)
  186. if !ok {
  187. errMsg = "生成计算指标失败,请使用正确的计算公式"
  188. err = errors.New(errMsg)
  189. return
  190. }
  191. }
  192. //关联关系表
  193. {
  194. if len(calculateMappingList) > 0 {
  195. _, err = to.InsertMulti(len(calculateMappingList), calculateMappingList)
  196. if err != nil {
  197. return
  198. }
  199. }
  200. }
  201. //计算数据
  202. err = refreshAllCalculate(to, edbInfoList, edbInfo.EdbInfoId, edbInfo.Source, edbInfo.SubSource, edbInfo.EdbCode, edbInfo.CalculateFormula, "", "", edbInfoIdBytes, edbInfo.EmptyType, edbInfo.MaxEmptyType)
  203. }
  204. return
  205. }
  206. // GetCalculateEdbInfo 获取计算指标的关联指标id
  207. func GetCalculateEdbInfo(edbInfoId int) (from_edb_info_id string, err error) {
  208. o := orm.NewOrm()
  209. sql := ` SELECT GROUP_CONCAT(from_edb_info_id ORDER BY sort ASC SEPARATOR ',') AS from_edb_info_id
  210. FROM edb_info_calculate_mapping
  211. WHERE edb_info_id=?
  212. GROUP BY edb_info_id
  213. `
  214. err = o.Raw(sql, edbInfoId).QueryRow(&from_edb_info_id)
  215. return
  216. }
  217. // DeleteCalculateEdbInfo 删除指标信息
  218. func DeleteCalculateEdbInfo(edbInfoId int) (err error) {
  219. o := orm.NewOrm()
  220. to, err := o.Begin()
  221. if err != nil {
  222. return
  223. }
  224. defer func() {
  225. if err != nil {
  226. _ = to.Rollback()
  227. } else {
  228. _ = to.Commit()
  229. }
  230. }()
  231. sql := `DELETE FROM edb_data_calculate WHERE edb_info_id=?`
  232. _, err = to.Raw(sql, edbInfoId).Exec()
  233. if err != nil {
  234. return
  235. }
  236. sql = `DELETE FROM edb_info_calculate_mapping WHERE edb_info_id=?`
  237. _, err = to.Raw(sql, edbInfoId).Exec()
  238. return
  239. }
  240. // RefreshAllCalculate 刷新全部数据
  241. func RefreshAllCalculate(edbInfoIdArr []*EdbInfo, edbInfoId, source, subSource int, edbCode, formulaStr, startDate, endDate string, edbInfoIdBytes []string, emptyType, maxEmptyType int) (err error) {
  242. o := orm.NewOrm()
  243. to, err := o.Begin()
  244. if err != nil {
  245. return
  246. }
  247. defer func() {
  248. if err != nil {
  249. fmt.Println("RefreshAllCalculate,Err:" + err.Error())
  250. _ = to.Rollback()
  251. } else {
  252. _ = to.Commit()
  253. }
  254. }()
  255. fmt.Println(startDate, endDate)
  256. //计算数据
  257. err = refreshAllCalculate(to, edbInfoIdArr, edbInfoId, source, subSource, edbCode, formulaStr, startDate, endDate, edbInfoIdBytes, emptyType, maxEmptyType)
  258. return
  259. }
  260. // refreshAllCalculate 刷新全部数据
  261. func refreshAllCalculate(to orm.TxOrmer, edbInfoIdArr []*EdbInfo, edbInfoId, source, subSource int, edbCode, formulaStr, startDate, endDate string, edbInfoIdBytes []string, emptyType, maxEmptyType int) (err error) {
  262. realSaveDataMap := make(map[string]map[int]float64)
  263. saveDataMap := make(map[string]map[int]float64)
  264. // 最小的结束日期 , 最晚的数据开始日期
  265. var minLatestDate, maxStartDate time.Time
  266. dateList := make([]string, 0) // 第一个指标的日期数据
  267. for edbInfoIndex, v := range edbInfoIdArr {
  268. var condition string
  269. var pars []interface{}
  270. condition += " AND edb_info_id=? "
  271. pars = append(pars, v.EdbInfoId)
  272. if startDate != "" {
  273. condition += " AND data_time>=? "
  274. pars = append(pars, startDate)
  275. }
  276. //if endDate != "" {
  277. // condition += " AND data_time<=? "
  278. // pars = append(pars, endDate)
  279. //}
  280. //fmt.Println("v.Source:", v.Source)
  281. dataList, err := GetEdbDataListAllByTo(to, condition, pars, v.Source, v.SubSource, 1)
  282. if err != nil {
  283. return err
  284. }
  285. for _, dv := range dataList {
  286. if val, ok := realSaveDataMap[dv.DataTime]; ok {
  287. if _, ok := val[v.EdbInfoId]; !ok {
  288. val[v.EdbInfoId] = dv.Value
  289. }
  290. } else {
  291. temp := make(map[int]float64)
  292. temp[v.EdbInfoId] = dv.Value
  293. realSaveDataMap[dv.DataTime] = temp
  294. }
  295. // saveDataMap
  296. if val, ok := saveDataMap[dv.DataTime]; ok {
  297. if _, ok := val[v.EdbInfoId]; !ok {
  298. val[v.EdbInfoId] = dv.Value
  299. }
  300. } else {
  301. temp2 := make(map[int]float64)
  302. temp2[v.EdbInfoId] = dv.Value
  303. saveDataMap[dv.DataTime] = temp2
  304. }
  305. // 以第一个指标的日期作为基准日期
  306. if edbInfoIndex == 0 {
  307. dateList = append(dateList, dv.DataTime)
  308. tmpDate, _ := time.ParseInLocation(utils.FormatDate, dv.DataTime, time.Local)
  309. if minLatestDate.IsZero() || tmpDate.After(minLatestDate) {
  310. minLatestDate = tmpDate
  311. }
  312. if maxStartDate.IsZero() || tmpDate.Before(maxStartDate) {
  313. maxStartDate = tmpDate
  314. }
  315. }
  316. }
  317. }
  318. //数据处理,将日期内不全的数据做补全
  319. HandleDateSaveDataMap(dateList, maxStartDate, minLatestDate, realSaveDataMap, saveDataMap, edbInfoIdArr, emptyType)
  320. formulaDateSlice, formulaDateMap, err := utils.HandleFormulaJson(formulaStr, minLatestDate)
  321. if err != nil {
  322. return
  323. }
  324. addSql := ` INSERT INTO edb_data_calculate(edb_info_id,edb_code,data_time,value,create_time,modify_time,data_timestamp) values `
  325. var isAdd bool
  326. //获取指标所有数据
  327. dataList := make([]*EdbData, 0)
  328. dataTableName := GetEdbDataTableName(source, subSource)
  329. sql := `SELECT * FROM %s WHERE edb_info_id=? `
  330. sql = fmt.Sprintf(sql, dataTableName)
  331. _, err = to.Raw(sql, edbInfoId).QueryRows(&dataList)
  332. if err != nil {
  333. return err
  334. }
  335. dataMap := make(map[string]string)
  336. removeDateMap := make(map[string]string) //需要移除的日期
  337. for _, v := range dataList {
  338. dataMap[v.DataTime] = v.Value
  339. removeDateMap[v.DataTime] = v.DataTime
  340. }
  341. edbInfoIdStr := strconv.Itoa(edbInfoId)
  342. existDataMap := make(map[string]string)
  343. // 判断是否特殊处理max和min函数
  344. maxDealFlag := false
  345. if emptyType == 4 && maxEmptyType == 2 {
  346. maxDealFlag = true
  347. }
  348. for sk, sv := range saveDataMap {
  349. // 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
  350. if emptyType == 1 {
  351. if len(sv) != len(edbInfoIdArr) {
  352. continue
  353. }
  354. }
  355. //fmt.Println(sk, sv)
  356. // 根据时间范围,选择对应的公式
  357. formulaMap := make(map[string]string)
  358. formulaStr = ""
  359. for _, fv := range formulaDateSlice {
  360. if sk < fv {
  361. if f, ok := formulaDateMap[fv]; ok {
  362. formulaStr = f
  363. formulaMap = utils.CheckFormula(formulaStr)
  364. }
  365. break
  366. }
  367. }
  368. if formulaStr == "" {
  369. continue
  370. }
  371. svMax := make(map[int]float64)
  372. if maxDealFlag {
  373. // 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
  374. if svMaxData, ok := realSaveDataMap[sk]; ok {
  375. svMax = svMaxData
  376. }
  377. }
  378. formulaStr = strings.ToUpper(formulaStr)
  379. formulaFormStr := ReplaceFormula(edbInfoIdArr, sv, svMax, formulaMap, formulaStr, edbInfoIdBytes, maxDealFlag)
  380. //计算公式异常,那么就移除该指标
  381. if formulaFormStr == `` {
  382. //removeDateList = append(removeDateList, sk)
  383. continue
  384. }
  385. //utils.FileLog.Info(fmt.Sprintf("formulaFormStr:%s", formulaFormStr))
  386. fmt.Println(fmt.Sprintf("%s:formulaFormStr:%s", sk, formulaFormStr))
  387. expression := formula.NewExpression(formulaFormStr)
  388. calResult, err := expression.Evaluate()
  389. if err != nil {
  390. // 分母为0的报错
  391. if strings.Contains(err.Error(), "divide by zero") {
  392. //removeDateList = append(removeDateList, sk)
  393. continue
  394. }
  395. err = errors.New("计算失败:Err:" + err.Error() + ";formulaStr:" + formulaFormStr)
  396. fmt.Println(err)
  397. return err
  398. }
  399. // 如果计算结果是NAN,那么就退出当前循环
  400. if calResult.IsNan() {
  401. continue
  402. }
  403. calVal, err := calResult.Float64()
  404. if err != nil {
  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).RoundCeil(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. if err != nil {
  434. return err
  435. }
  436. }
  437. }
  438. }
  439. if isAdd {
  440. addSql = strings.TrimRight(addSql, ",")
  441. _, err = to.Raw(addSql).Exec()
  442. if err != nil {
  443. fmt.Println("RefreshAllCalculate add Err", err.Error())
  444. return
  445. }
  446. }
  447. if len(removeDateMap) > 0 {
  448. removeDateList := make([]string, 0) //需要移除的日期
  449. for k := range removeDateMap {
  450. removeDateList = append(removeDateList, k)
  451. }
  452. removeDateStr := strings.Join(removeDateList, `","`)
  453. removeDateStr = `"` + removeDateStr + `"`
  454. //如果拼接指标变更了,那么需要删除所有的指标数据
  455. tableName := GetEdbDataTableName(source, subSource)
  456. sql := fmt.Sprintf(` DELETE FROM %s WHERE edb_info_id = ? and data_time in (%s) `, tableName, removeDateStr)
  457. _, err = to.Raw(sql, edbInfoId).Exec()
  458. if err != nil {
  459. err = fmt.Errorf("删除计算失败的计算指标数据失败,Err:" + err.Error())
  460. return
  461. }
  462. }
  463. return
  464. }
  465. // ReplaceFormula 替换计算方式
  466. func ReplaceFormula(edbInfoIdArr []*EdbInfo, valArr, valArrMax map[int]float64, formulaMap map[string]string, formulaStr string, edbInfoIdBytes []string, maxDealFlag bool) string {
  467. // todo 先处理max和min函数的特殊情况
  468. //if strings.Contains(formulaStr, "MAX") || strings.Contains(formulaStr, "MIN") {
  469. funMap := GetFormulaMap()
  470. for k, v := range funMap {
  471. formulaStr = strings.Replace(formulaStr, k, v, -1)
  472. }
  473. if maxDealFlag {
  474. formulaStr = GetMaxMinEdbInfo(formulaStr)
  475. }
  476. replaceCount := 0
  477. for dk, dv := range edbInfoIdArr {
  478. var isReplace bool
  479. formulaStr, isReplace = GetFormulaReplace(dk, dv.EdbInfoId, formulaStr, edbInfoIdBytes, formulaMap, valArr, valArrMax, maxDealFlag)
  480. if isReplace {
  481. replaceCount++
  482. }
  483. }
  484. for k, v := range funMap {
  485. formulaStr = strings.Replace(formulaStr, v, k, -1)
  486. }
  487. if strings.Contains(formulaStr, "MAX()") || strings.Contains(formulaStr, "MIN()") {
  488. return ""
  489. }
  490. if replaceCount == len(formulaMap) {
  491. return formulaStr
  492. } else {
  493. return ""
  494. }
  495. }
  496. func GetFormulaReplace(index, edbInfoId int, formulaStr string, edbInfoIdBytes []string, formulaMap map[string]string, valArr, valArrMax map[int]float64, maxDealFlag bool) (formulaResult string, isReplace bool) {
  497. formulaResult = formulaStr
  498. dKey := edbInfoIdBytes[index]
  499. if _, ok := formulaMap[dKey]; ok { //公式中存在
  500. if val, valOk := valArr[edbInfoId]; valOk { //值存在
  501. dvStr := fmt.Sprintf("%v", val)
  502. formulaResult = strings.Replace(formulaResult, dKey, dvStr, -1)
  503. isReplace = true
  504. if maxDealFlag {
  505. if valM, valMOk := valArrMax[edbInfoId]; valMOk { //值存在
  506. dvMStr := fmt.Sprintf("%v", valM)
  507. formulaResult = strings.Replace(formulaResult, strings.ToLower(dKey), dvMStr, -1)
  508. } else {
  509. formulaResult = strings.Replace(formulaResult, strings.ToLower(dKey)+",", "", -1)
  510. formulaResult = strings.Replace(formulaResult, ","+strings.ToLower(dKey), "", -1)
  511. }
  512. }
  513. }
  514. }
  515. return
  516. }
  517. // GetFormulaMap 获取计算公式的map
  518. func GetFormulaMap() map[string]string {
  519. funMap := make(map[string]string)
  520. funMap["MAX"] = "[@@]"
  521. funMap["MIN"] = "[@!]"
  522. funMap["ABS"] = "[@#]"
  523. funMap["CEIL"] = "[@$]"
  524. funMap["COS"] = "[@%]"
  525. funMap["FLOOR"] = "[@^]"
  526. funMap["MOD"] = "[@&]"
  527. funMap["POW"] = "[@*]"
  528. funMap["ROUND"] = "[@`]"
  529. funMap["LN"] = "[@-]"
  530. funMap["EXP"] = "[@+]"
  531. return funMap
  532. }
  533. // EdbInfoCalculateBatchSaveReq 添加计算指标的请求参数
  534. type EdbInfoCalculateBatchSaveReq struct {
  535. AdminId int `description:"添加人id"`
  536. AdminName string `description:"添加人名称"`
  537. EdbInfoId int `description:"指标id"`
  538. EdbName string `description:"指标名称"`
  539. Frequency string `description:"频度"`
  540. Unit string `description:"单位"`
  541. ClassifyId int `description:"分类id"`
  542. Formula string `description:"N值/移动天数"`
  543. FromEdbInfoId int `description:"计算来源指标id"`
  544. 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"`
  545. CalculateFormula string `description:"计算公式"`
  546. EdbInfoIdArr []EdbInfoCalculateEdbInfoIdReq `description:"关联指标列表"`
  547. MoveType int `description:"移动方式:1:领先(默认),2:滞后"`
  548. MoveFrequency string `description:"移动频度:天/周/月/季/年"`
  549. Calendar string `description:"公历/农历"`
  550. Data interface{} `description:"数据"`
  551. }
  552. // EdbInfoCalculateEdbInfoIdReq 新增/编辑请求 关联的指标列表
  553. type EdbInfoCalculateEdbInfoIdReq struct {
  554. EdbInfoId int `description:"指标id"`
  555. FromTag string `description:"指标对应标签"`
  556. MoveValue int `description:"移动的值"`
  557. }
  558. // EdbInfoCalculateBatchEditReq 编辑计算指标的请求参数
  559. type EdbInfoCalculateBatchEditReq struct {
  560. EdbName string `description:"指标名称"`
  561. Frequency string `description:"频度"`
  562. Unit string `description:"单位"`
  563. ClassifyId int `description:"分类id"`
  564. Formula string `description:"N值"`
  565. EdbInfoId int `description:"编辑指标id"`
  566. FromEdbInfoId int `description:"计算来源指标id"`
  567. 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"`
  568. MoveType int `description:"移动方式:1:领先(默认),2:滞后"`
  569. MoveFrequency string `description:"移动频度:天/周/月/季/年"`
  570. EdbInfoIdArr []struct {
  571. EdbInfoId int `description:"指标id"`
  572. FromTag string `description:"指标对应标签"`
  573. MoveValue int `description:"移动的值"`
  574. }
  575. Calendar string `description:"公历/农历" orm:"default(公历)"`
  576. Data interface{} `description:"数据"`
  577. }
  578. // 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)
  579. func CheckFormula2(edbInfoArr []*EdbInfo, formulaMap map[string]string, formulaStr string, edbInfoIdBytes []string) (ok bool, err error) {
  580. valArr := make(map[int]float64)
  581. for _, v := range edbInfoArr {
  582. valArr[v.EdbInfoId] = 100
  583. }
  584. formulaStr = strings.ToUpper(formulaStr)
  585. // 预设里的max和min无需特殊处理
  586. valArrMax := make(map[int]float64)
  587. formulaFormStr := ReplaceFormula(edbInfoArr, valArr, valArrMax, formulaMap, formulaStr, edbInfoIdBytes, false)
  588. if formulaFormStr == "" {
  589. return
  590. }
  591. expression := formula.NewExpression(formulaFormStr)
  592. _, err = expression.Evaluate()
  593. if err != nil {
  594. } else {
  595. ok = true
  596. }
  597. return
  598. }
  599. // 处理整个数据
  600. func HandleDateSaveDataMap(dateList []string, maxStartDate, minLatestDate time.Time, realSaveDataMap, saveDataMap map[string]map[int]float64, edbInfoIdArr []*EdbInfo, emptyType int) {
  601. for _, date := range dateList {
  602. dateTime, _ := time.ParseInLocation(utils.FormatDate, date, time.Local)
  603. // 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
  604. if dateTime.Before(maxStartDate) {
  605. continue
  606. }
  607. // 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
  608. if dateTime.After(minLatestDate) {
  609. return
  610. }
  611. tmpDataMap := realSaveDataMap[date]
  612. for _, edbInfo := range edbInfoIdArr {
  613. tmpEdbInfoId := edbInfo.EdbInfoId // 当前指标id
  614. // 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
  615. if _, ok := tmpDataMap[tmpEdbInfoId]; !ok {
  616. //day := 0
  617. //switch edbInfo.Frequency {
  618. //case "周度":
  619. // day = 7
  620. //case "旬度":
  621. // day = 15
  622. //case "月度":
  623. // day = 30
  624. //case "季度":
  625. // day = 90
  626. //case "年度":
  627. // day = 365
  628. //}
  629. // 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)
  630. switch emptyType {
  631. case 0:
  632. handleDateDataMap(realSaveDataMap, saveDataMap, date, tmpEdbInfoId, 35)
  633. case 2:
  634. handleDateDataMapBefore(realSaveDataMap, saveDataMap, date, tmpEdbInfoId, edbInfo.StartDate, edbInfo.EndDate)
  635. case 3:
  636. handleDateDataMapAfter(realSaveDataMap, saveDataMap, date, tmpEdbInfoId, edbInfo.StartDate, edbInfo.EndDate)
  637. case 4:
  638. handleDateDataMapZero(saveDataMap, date, tmpEdbInfoId)
  639. }
  640. }
  641. }
  642. }
  643. }
  644. // handleDateDataMap 前后35天 处理单个日期的数据
  645. func handleDateDataMap(realSaveDataMap, saveDataMap map[string]map[int]float64, date string, edbInfoId, day int) {
  646. currDate, _ := time.ParseInLocation(utils.FormatDate, date, time.Local)
  647. // 后一天
  648. nextDateDayStr := currDate.AddDate(0, 0, 1).Format(utils.FormatDate)
  649. // 前一天
  650. preDateDayStr := currDate.AddDate(0, 0, -1).Format(utils.FormatDate)
  651. for i := 1; i <= day; i++ {
  652. // 下个日期的数据
  653. {
  654. if i >= 1 {
  655. nextDateDayStr = currDate.AddDate(0, 0, i).Format(utils.FormatDate)
  656. }
  657. if findDataMap, hasFindDataMap := realSaveDataMap[nextDateDayStr]; hasFindDataMap { // 下一个日期有数据
  658. if val, hasFindItem := findDataMap[edbInfoId]; hasFindItem {
  659. fmt.Println(fmt.Sprintf("date:%s, 无值,取%s的值%.4f", date, nextDateDayStr, val))
  660. saveDataMap[date][edbInfoId] = val
  661. return
  662. }
  663. }
  664. }
  665. // 上个日期的数据
  666. {
  667. if i >= 1 {
  668. preDateDayStr = currDate.AddDate(0, 0, -i).Format(utils.FormatDate)
  669. }
  670. if findDataMap, hasFindDataMap := realSaveDataMap[preDateDayStr]; hasFindDataMap { // 下一个日期有数据
  671. if val, hasFindItem := findDataMap[edbInfoId]; hasFindItem {
  672. fmt.Println(fmt.Sprintf("date:%s, 无值,取%s的值%.4f", date, preDateDayStr, val))
  673. saveDataMap[date][edbInfoId] = val
  674. return
  675. }
  676. }
  677. }
  678. }
  679. }
  680. // 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
  681. func handleDateDataMapBefore(realSaveDataMap, saveDataMap map[string]map[int]float64, date string, edbInfoId int, startDate, endDate string) {
  682. currDate, _ := time.ParseInLocation(utils.FormatDate, date, time.Local)
  683. // 前一天
  684. preDateDay := currDate
  685. startDateT, _ := time.ParseInLocation(utils.FormatDate, startDate, time.Local)
  686. endDateT, _ := time.ParseInLocation(utils.FormatDate, endDate, time.Local)
  687. if currDate.Before(startDateT) {
  688. if findDataMap, hasFindDataMap := realSaveDataMap[startDate]; hasFindDataMap { // 下一个日期有数据
  689. if val, hasFindItem := findDataMap[edbInfoId]; hasFindItem {
  690. //utils.FileLog.Info(fmt.Sprintf("date:%s, 无值,取%s的值%.4f", date, startDate, val))
  691. saveDataMap[date][edbInfoId] = val
  692. return
  693. }
  694. }
  695. return
  696. }
  697. if currDate.After(endDateT) {
  698. if findDataMap, hasFindDataMap := realSaveDataMap[endDate]; hasFindDataMap { // 下一个日期有数据
  699. if val, hasFindItem := findDataMap[edbInfoId]; hasFindItem {
  700. //utils.FileLog.Info(fmt.Sprintf("date:%s, 无值,取%s的值%.4f", date, endDate, val))
  701. saveDataMap[date][edbInfoId] = val
  702. return
  703. }
  704. }
  705. }
  706. for i := 1; preDateDay.After(startDateT) || preDateDay == startDateT; i++ {
  707. // 上个日期的数据
  708. {
  709. preDateDay = currDate.AddDate(0, 0, -i)
  710. preDateDayStr := preDateDay.Format(utils.FormatDate)
  711. if findDataMap, hasFindDataMap := realSaveDataMap[preDateDayStr]; hasFindDataMap { // 下一个日期有数据
  712. if val, hasFindItem := findDataMap[edbInfoId]; hasFindItem {
  713. //utils.FileLog.Info(fmt.Sprintf("date:%s, 无值,取%s的值%.4f", date, preDateDayStr, val))
  714. saveDataMap[date][edbInfoId] = val
  715. return
  716. }
  717. }
  718. }
  719. }
  720. return
  721. }
  722. // 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
  723. func handleDateDataMapAfter(realSaveDataMap, saveDataMap map[string]map[int]float64, date string, edbInfoId int, startDate, endDate string) {
  724. currDate, _ := time.ParseInLocation(utils.FormatDate, date, time.Local)
  725. // 后一天
  726. nextDateDay := currDate
  727. startDateT, _ := time.ParseInLocation(utils.FormatDate, startDate, time.Local)
  728. endDateT, _ := time.ParseInLocation(utils.FormatDate, endDate, time.Local)
  729. if currDate.Before(startDateT) {
  730. if findDataMap, hasFindDataMap := realSaveDataMap[startDate]; hasFindDataMap { // 下一个日期有数据
  731. if val, hasFindItem := findDataMap[edbInfoId]; hasFindItem {
  732. //utils.FileLog.Info(fmt.Sprintf("date:%s, 无值,取%s的值%.4f", date, startDate, val))
  733. saveDataMap[date][edbInfoId] = val
  734. return
  735. }
  736. }
  737. return
  738. }
  739. if currDate.After(endDateT) {
  740. if findDataMap, hasFindDataMap := realSaveDataMap[endDate]; hasFindDataMap { // 下一个日期有数据
  741. if val, hasFindItem := findDataMap[edbInfoId]; hasFindItem {
  742. //utils.FileLog.Info(fmt.Sprintf("date:%s, 无值,取%s的值%.4f", date, endDate, val))
  743. saveDataMap[date][edbInfoId] = val
  744. return
  745. }
  746. }
  747. }
  748. for i := 1; nextDateDay.Before(endDateT) || nextDateDay == endDateT; i++ {
  749. // 下个日期的数据
  750. {
  751. nextDateDay = currDate.AddDate(0, 0, i)
  752. nextDateDayStr := nextDateDay.Format(utils.FormatDate)
  753. if findDataMap, hasFindDataMap := realSaveDataMap[nextDateDayStr]; hasFindDataMap { // 下一个日期有数据
  754. if val, hasFindItem := findDataMap[edbInfoId]; hasFindItem {
  755. //utils.FileLog.Info(fmt.Sprintf("date:%s, 无值,取%s的值%.4f", date, nextDateDayStr, val))
  756. saveDataMap[date][edbInfoId] = val
  757. return
  758. }
  759. }
  760. }
  761. }
  762. return
  763. }
  764. // handleDateDataMapZero 等于0
  765. func handleDateDataMapZero(saveDataMap map[string]map[int]float64, date string, edbInfoId int) {
  766. saveDataMap[date][edbInfoId] = 0
  767. return
  768. }
  769. func GetMaxMinEdbInfo(formula string) string {
  770. flag := 0
  771. for k, v := range formula {
  772. if v >= 65 && v <= 122 {
  773. // 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
  774. for i := k; i >= 4; i-- {
  775. if formula[i:i+1] == "(" && flag >= 1 {
  776. t := formula[i-4 : i]
  777. if t == "[@@]" || t == "[@!]" {
  778. formula = formula[:k] + strings.ToLower(formula[k:k+1]) + formula[k+1:]
  779. }
  780. break
  781. }
  782. }
  783. } else if formula[k:k+1] == "(" {
  784. flag += 1
  785. } else if formula[k:k+1] == ")" {
  786. flag -= 1
  787. }
  788. }
  789. return formula
  790. }
  791. // PredictRuleCalculateByNineResp 获取预测指标规则9的绘图数据返回
  792. type PredictRuleCalculateByNineResp struct {
  793. LatestDate string
  794. DataList interface{}
  795. }