base_from_calculate.go 37 KB

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  1. package models
  2. import (
  3. "encoding/json"
  4. "errors"
  5. "eta/eta_index_lib/global"
  6. "eta/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_DB.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_DB.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).Select([]string{"EdbName", "EdbNameSource", "Frequency", "Unit", "EdbNameEn", "UnitEn", "ClassifyId", "CalculateFormula", "ModifyTime", "EmptyType", "MaxEmptyType", "Extra"}).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_DB.Raw(sql, edbInfoId).Scan(&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_DB.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_DB.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. //func refreshAllCalculate(to orm.TxOrmer, edbInfoIdArr []*EdbInfo, edbInfoTag map[string]int, edbInfoId, source, subSource int, edbCode, formulaStr, startDate, endDate string, edbInfoIdBytes []string, emptyType, maxEmptyType int, extra string) (err error) {
  293. realSaveDataMap := make(map[string]map[int]float64)
  294. saveDataMap := make(map[string]map[int]float64)
  295. // 最小的结束日期 , 最晚的数据开始日期
  296. var minLatestDate, maxStartDate time.Time
  297. dateList := make([]string, 0) // 最终的日期数据
  298. dateMap := make(map[string]struct{}) // 最终的日期数据
  299. dateTagConfig := ""
  300. if extra != "" {
  301. var dateConfig CalculateEdbExtra
  302. err = json.Unmarshal([]byte(extra), &dateConfig)
  303. if err != nil {
  304. err = fmt.Errorf("refreshAllCalculate,extra解析失败,Err:%s", err.Error())
  305. return
  306. }
  307. dateTagConfig = dateConfig.DateTag
  308. }
  309. for edbInfoIndex, v := range edbInfoIdArr {
  310. dataList, err := GetEdbDataListAllByTo(to, v.Source, v.SubSource, FindEdbDataListAllCond{
  311. EdbInfoId: v.EdbInfoId,
  312. StartDataTime: startDate,
  313. StartDataTimeCond: ">=",
  314. }, 1)
  315. if err != nil {
  316. return err
  317. }
  318. for _, dv := range dataList {
  319. if val, ok := realSaveDataMap[dv.DataTime]; ok {
  320. if _, ok := val[v.EdbInfoId]; !ok {
  321. val[v.EdbInfoId] = dv.Value
  322. }
  323. } else {
  324. temp := make(map[int]float64)
  325. temp[v.EdbInfoId] = dv.Value
  326. realSaveDataMap[dv.DataTime] = temp
  327. }
  328. // saveDataMap
  329. if val, ok := saveDataMap[dv.DataTime]; ok {
  330. if _, ok := val[v.EdbInfoId]; !ok {
  331. val[v.EdbInfoId] = dv.Value
  332. }
  333. } else {
  334. temp2 := make(map[int]float64)
  335. temp2[v.EdbInfoId] = dv.Value
  336. saveDataMap[dv.DataTime] = temp2
  337. }
  338. if dateTagConfig == "all" {
  339. if _, ok := dateMap[dv.DataTime]; !ok {
  340. dateList = append(dateList, dv.DataTime)
  341. dateMap[dv.DataTime] = struct{}{}
  342. }
  343. } else if dateTagConfig == "" { // 默认取第一个指标的时间序列
  344. if edbInfoIndex == 0 {
  345. if _, ok := dateMap[dv.DataTime]; !ok {
  346. dateList = append(dateList, dv.DataTime)
  347. dateMap[dv.DataTime] = struct{}{}
  348. }
  349. }
  350. } else {
  351. if eId, ok := edbInfoTag[dateTagConfig]; ok {
  352. if v.EdbInfoId == eId {
  353. if _, ok1 := dateMap[dv.DataTime]; !ok1 {
  354. dateList = append(dateList, dv.DataTime)
  355. dateMap[dv.DataTime] = struct{}{}
  356. }
  357. }
  358. }
  359. }
  360. }
  361. }
  362. // 处理最大日期和最小日期
  363. for _, v := range dateList {
  364. tmpDate, _ := time.ParseInLocation(utils.FormatDate, v, time.Local)
  365. if minLatestDate.IsZero() || tmpDate.After(minLatestDate) {
  366. minLatestDate = tmpDate
  367. }
  368. if maxStartDate.IsZero() || tmpDate.Before(maxStartDate) {
  369. maxStartDate = tmpDate
  370. }
  371. }
  372. //数据处理,将日期内不全的数据做补全
  373. HandleDateSaveDataMap(dateList, maxStartDate, minLatestDate, realSaveDataMap, saveDataMap, edbInfoIdArr, emptyType)
  374. formulaDateSlice, formulaDateMap, err := utils.HandleFormulaJson(formulaStr, minLatestDate)
  375. if err != nil {
  376. return
  377. }
  378. addSql := ` INSERT INTO edb_data_calculate(edb_info_id,edb_code,data_time,value,create_time,modify_time,data_timestamp) values `
  379. addSql = utils.ReplaceDriverKeywords("", addSql)
  380. var isAdd bool
  381. //获取指标所有数据
  382. dataList := make([]*EdbData, 0)
  383. dataTableName := GetEdbDataTableName(source, subSource)
  384. sql := `SELECT * FROM %s WHERE edb_info_id=? `
  385. sql = fmt.Sprintf(sql, dataTableName)
  386. //_, err = to.Raw(sql, edbInfoId).QueryRows(&dataList)
  387. err = to.Raw(sql, edbInfoId).Find(&dataList).Error
  388. if err != nil {
  389. return err
  390. }
  391. dataMap := make(map[string]string)
  392. removeDateMap := make(map[string]string) //需要移除的日期
  393. for _, v := range dataList {
  394. dataMap[v.DataTime] = v.Value
  395. removeDateMap[v.DataTime] = v.DataTime
  396. }
  397. edbInfoIdStr := strconv.Itoa(edbInfoId)
  398. existDataMap := make(map[string]string)
  399. // 判断是否特殊处理max和min函数
  400. maxDealFlag := false
  401. if emptyType == 4 && maxEmptyType == 2 {
  402. maxDealFlag = true
  403. }
  404. for sk, sv := range saveDataMap {
  405. // 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
  406. if emptyType == 1 {
  407. if len(sv) != len(edbInfoIdArr) {
  408. continue
  409. }
  410. }
  411. //fmt.Println(sk, sv)
  412. // 根据时间范围,选择对应的公式
  413. formulaMap := make(map[string]string)
  414. formulaStr = ""
  415. for _, fv := range formulaDateSlice {
  416. if sk < fv {
  417. if f, ok := formulaDateMap[fv]; ok {
  418. formulaStr = f
  419. formulaMap, err = utils.CheckFormula(formulaStr)
  420. if err != nil {
  421. err = fmt.Errorf("公式错误,请重新填写")
  422. return
  423. }
  424. }
  425. break
  426. }
  427. }
  428. if formulaStr == "" {
  429. continue
  430. }
  431. svMax := make(map[int]float64)
  432. if maxDealFlag {
  433. // 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
  434. if svMaxData, ok := realSaveDataMap[sk]; ok {
  435. svMax = svMaxData
  436. }
  437. }
  438. formulaStr = strings.ToUpper(formulaStr)
  439. formulaFormStr := ReplaceFormula(edbInfoIdArr, sv, svMax, formulaMap, formulaStr, edbInfoIdBytes, maxDealFlag)
  440. //计算公式异常,那么就移除该指标
  441. if formulaFormStr == `` {
  442. //removeDateList = append(removeDateList, sk)
  443. continue
  444. }
  445. //utils.FileLog.Info(fmt.Sprintf("formulaFormStr:%s", formulaFormStr))
  446. fmt.Println(fmt.Sprintf("%s:formulaFormStr:%s", sk, formulaFormStr))
  447. //expression := formula.NewExpression(formulaFormStr)
  448. //calResult, err := expression.Evaluate()
  449. //if err != nil {
  450. // // 分母为0的报错
  451. // if strings.Contains(err.Error(), "divide by zero") {
  452. // //removeDateList = append(removeDateList, sk)
  453. // continue
  454. // }
  455. // err = errors.New("计算失败:Err:" + err.Error() + ";formulaStr:" + formulaFormStr)
  456. // fmt.Println(err)
  457. // return err
  458. //}
  459. //// 如果计算结果是NAN,那么就退出当前循环
  460. //if calResult.IsNan() {
  461. // continue
  462. //}
  463. calVal, err := engine.ParseAndExec(formulaFormStr)
  464. //calVal, err := calResult.Float64()
  465. if err != nil {
  466. // 分母为0的报错,忽略该循环
  467. if utils.IsDivideZero(err) {
  468. //removeDateList = append(removeDateList, sk)
  469. continue
  470. }
  471. err = errors.New("计算失败:获取计算值失败 Err:" + err.Error() + ";formulaStr:" + formulaFormStr)
  472. fmt.Println(err)
  473. return err
  474. }
  475. nanCheck := fmt.Sprintf("%0.f", calVal)
  476. // 分母为0.0的报错
  477. if nanCheck == "NaN" || nanCheck == "+Inf" || nanCheck == "-Inf" {
  478. continue
  479. }
  480. // 有计算出来值,那么就从待删除指标中移除
  481. delete(removeDateMap, sk)
  482. saveValue := decimal.NewFromFloat(calVal).Round(4).String() //utils.SubFloatToString(calVal, 4)
  483. if existVal, ok := dataMap[sk]; !ok {
  484. dataTime, _ := time.ParseInLocation(utils.FormatDate, sk, time.Local)
  485. timestamp := dataTime.UnixNano() / 1e6
  486. timeStr := fmt.Sprintf("%d", timestamp)
  487. if _, existOk := existDataMap[sk]; !existOk {
  488. addSql += GetAddSql(edbInfoIdStr, edbCode, sk, timeStr, saveValue)
  489. isAdd = true
  490. }
  491. existDataMap[sk] = sk
  492. } else {
  493. existValDecimal, err := decimal.NewFromString(existVal)
  494. existStr := existValDecimal.String()
  495. if existStr != saveValue {
  496. sql := ` UPDATE %s SET value=?,modify_time=NOW() WHERE edb_info_id=? AND data_time=? `
  497. sql = fmt.Sprintf(sql, dataTableName)
  498. //_, err = to.Raw(sql, saveValue, edbInfoId, sk).Exec()
  499. err = to.Exec(sql, saveValue, edbInfoId, sk).Error
  500. if err != nil {
  501. return err
  502. }
  503. }
  504. }
  505. }
  506. if isAdd {
  507. addSql = strings.TrimRight(addSql, ",")
  508. //_, err = to.Raw(addSql).Exec()
  509. err = to.Exec(addSql).Error
  510. if err != nil {
  511. fmt.Println("RefreshAllCalculate add Err", err.Error())
  512. return
  513. }
  514. }
  515. if len(removeDateMap) > 0 {
  516. removeDateList := make([]string, 0) //需要移除的日期
  517. for k := range removeDateMap {
  518. removeDateList = append(removeDateList, k)
  519. }
  520. removeDateStr := strings.Join(removeDateList, `','`)
  521. removeDateStr = `'` + removeDateStr + `'`
  522. //如果拼接指标变更了,那么需要删除所有的指标数据
  523. tableName := GetEdbDataTableName(source, subSource)
  524. sql := fmt.Sprintf(` DELETE FROM %s WHERE edb_info_id = ? and data_time in (%s) `, tableName, removeDateStr)
  525. //_, err = to.Raw(sql, edbInfoId).Exec()
  526. err = to.Exec(sql, edbInfoId).Error
  527. if err != nil {
  528. err = fmt.Errorf("删除计算失败的计算指标数据失败,Err:" + err.Error())
  529. return
  530. }
  531. }
  532. return
  533. }
  534. // ReplaceFormula 替换计算方式
  535. func ReplaceFormula(edbInfoIdArr []*EdbInfo, valArr, valArrMax map[int]float64, formulaMap map[string]string, formulaStr string, edbInfoIdBytes []string, maxDealFlag bool) string {
  536. // todo 先处理max和min函数的特殊情况
  537. //if strings.Contains(formulaStr, "MAX") || strings.Contains(formulaStr, "MIN") {
  538. funMap := GetFormulaMap()
  539. for k, v := range funMap {
  540. formulaStr = strings.Replace(formulaStr, k, v, -1)
  541. }
  542. if maxDealFlag {
  543. formulaStr = GetMaxMinEdbInfo(formulaStr)
  544. }
  545. replaceCount := 0
  546. for dk := len(edbInfoIdArr) - 1; dk >= 0; dk-- {
  547. dv := edbInfoIdArr[dk]
  548. //for dk, dv := range edbInfoIdArr {
  549. var isReplace bool
  550. formulaStr, isReplace = GetFormulaReplace(dk, dv.EdbInfoId, formulaStr, edbInfoIdBytes, formulaMap, valArr, valArrMax, maxDealFlag)
  551. if isReplace {
  552. replaceCount++
  553. }
  554. }
  555. for k, v := range funMap {
  556. formulaStr = strings.Replace(formulaStr, v, k, -1)
  557. }
  558. if strings.Contains(formulaStr, "MAX()") || strings.Contains(formulaStr, "MIN()") {
  559. return ""
  560. }
  561. formulaStr = strings.Replace(formulaStr, "MAX", "max", -1)
  562. formulaStr = strings.Replace(formulaStr, "MIN", "min", -1)
  563. formulaStr = strings.Replace(formulaStr, "LN", "ln", -1)
  564. formulaStr = strings.Replace(formulaStr, "LOG", "log", -1)
  565. formulaStr = strings.Replace(formulaStr, "SIN", "sin", -1)
  566. formulaStr = strings.Replace(formulaStr, "COS", "cos", -1)
  567. formulaStr = strings.Replace(formulaStr, "TAN", "tan", -1)
  568. formulaStr = strings.Replace(formulaStr, "COT", "cot", -1)
  569. formulaStr = strings.Replace(formulaStr, "SEC", "sec", -1)
  570. formulaStr = strings.Replace(formulaStr, "CSC", "csc", -1)
  571. formulaStr = strings.Replace(formulaStr, "ABS", "abs", -1)
  572. formulaStr = strings.Replace(formulaStr, "CEIL", "ceil", -1)
  573. formulaStr = strings.Replace(formulaStr, "FLOOR", "floor", -1)
  574. formulaStr = strings.Replace(formulaStr, "ROUND", "round", -1)
  575. formulaStr = strings.Replace(formulaStr, "SQRT", "sqrt", -1)
  576. formulaStr = strings.Replace(formulaStr, "CBRT", "cbrt", -1)
  577. formulaStr = strings.Replace(formulaStr, "NOERR", "noerr", -1)
  578. formulaStr = strings.Replace(formulaStr, "DOUBLE", "double", -1)
  579. formulaStr = strings.Replace(formulaStr, "POW", "pow", -1)
  580. if replaceCount == len(formulaMap) {
  581. return formulaStr
  582. } else {
  583. return ""
  584. }
  585. }
  586. func GetFormulaReplace(index, edbInfoId int, formulaStr string, edbInfoIdBytes []string, formulaMap map[string]string, valArr, valArrMax map[int]float64, maxDealFlag bool) (formulaResult string, isReplace bool) {
  587. formulaResult = formulaStr
  588. dKey := edbInfoIdBytes[index]
  589. if _, ok := formulaMap[dKey]; ok { //公式中存在
  590. if val, valOk := valArr[edbInfoId]; valOk { //值存在
  591. dvStr := fmt.Sprintf("%v", val)
  592. formulaResult = strings.Replace(formulaResult, dKey, dvStr, -1)
  593. isReplace = true
  594. if maxDealFlag {
  595. if valM, valMOk := valArrMax[edbInfoId]; valMOk { //值存在
  596. dvMStr := fmt.Sprintf("%v", valM)
  597. formulaResult = strings.Replace(formulaResult, strings.ToLower(dKey), dvMStr, -1)
  598. } else {
  599. formulaResult = strings.Replace(formulaResult, strings.ToLower(dKey)+",", "", -1)
  600. formulaResult = strings.Replace(formulaResult, ","+strings.ToLower(dKey), "", -1)
  601. }
  602. }
  603. }
  604. }
  605. return
  606. }
  607. // GetFormulaMap 获取计算公式的map
  608. func GetFormulaMap() map[string]string {
  609. funMap := make(map[string]string)
  610. funMap["MAX"] = "[@@]"
  611. funMap["MIN"] = "[@!]"
  612. funMap["ABS"] = "[@#]"
  613. funMap["CEIL"] = "[@$]"
  614. funMap["COS"] = "[@%]"
  615. funMap["FLOOR"] = "[@^]"
  616. funMap["MOD"] = "[@&]"
  617. funMap["POW"] = "[@*]"
  618. funMap["ROUND"] = "[@`]"
  619. funMap["LN"] = "[@-]"
  620. funMap["EXP"] = "[@+]"
  621. return funMap
  622. }
  623. // CalculateBatchSaveReq 添加计算指标的请求参数
  624. type CalculateBatchSaveReq struct {
  625. EdbList []*CalculateEdbInfoItem //需要批量计算的指标列表
  626. AdminId int `description:"添加人id"`
  627. AdminName string `description:"添加人名称"`
  628. Formula string `description:"N值/移动天数"`
  629. 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"`
  630. CalculateFormula string `description:"计算公式"`
  631. EdbInfoIdArr []EdbInfoCalculateEdbInfoIdReq `description:"关联指标列表"`
  632. MoveType int `description:"移动方式:1:领先(默认),2:滞后"`
  633. MoveFrequency string `description:"移动频度:天/周/月/季/年"`
  634. Calendar string `description:"公历/农历"`
  635. Data interface{} `description:"数据"`
  636. 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)"`
  637. MaxEmptyType int `description:"MAX、MIN公式空值处理类型(1、等于0;2、跳过空值)"`
  638. Extra string `description:"指标额外配置"`
  639. }
  640. type CalculateEdbInfoItem struct {
  641. EdbInfoId int `description:"指标id"`
  642. EdbName string `description:"指标名称"`
  643. Frequency string `description:"频度"`
  644. Unit string `description:"单位"`
  645. ClassifyId int `description:"分类id"`
  646. CalculateId string `description:"当前请求时,单个计算的唯一标识"`
  647. FromEdbInfoId int `description:"计算来源指标id"`
  648. }
  649. // EdbInfoCalculateBatchSaveReq 添加计算指标的请求参数
  650. type EdbInfoCalculateBatchSaveReq struct {
  651. AdminId int `description:"添加人id"`
  652. AdminName string `description:"添加人名称"`
  653. EdbInfoId int `description:"指标id"`
  654. EdbName string `description:"指标名称"`
  655. Frequency string `description:"频度"`
  656. Unit string `description:"单位"`
  657. ClassifyId int `description:"分类id"`
  658. Formula string `description:"N值/移动天数"`
  659. FromEdbInfoId int `description:"计算来源指标id"`
  660. 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"`
  661. CalculateFormula string `description:"计算公式"`
  662. EdbInfoIdArr []EdbInfoCalculateEdbInfoIdReq `description:"关联指标列表"`
  663. MoveType int `description:"移动方式:1:领先(默认),2:滞后"`
  664. MoveFrequency string `description:"移动频度:天/周/月/季/年/交易日/自然日"`
  665. Calendar string `description:"公历/农历"`
  666. Data interface{} `description:"数据"`
  667. 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)"`
  668. MaxEmptyType int `description:"MAX、MIN公式空值处理类型(1、等于0;2、跳过空值)"`
  669. Extra string `description:"指标额外配置"`
  670. }
  671. // EdbInfoCalculateEdbInfoIdReq 新增/编辑请求 关联的指标列表
  672. type EdbInfoCalculateEdbInfoIdReq struct {
  673. EdbInfoId int `description:"指标id"`
  674. FromTag string `description:"指标对应标签"`
  675. MoveValue int `description:"移动的值"`
  676. }
  677. // EdbInfoCalculateBatchEditReq 编辑计算指标的请求参数
  678. type EdbInfoCalculateBatchEditReq struct {
  679. EdbName string `description:"指标名称"`
  680. EdbNameEn string `description:"英文指标名称"`
  681. Frequency string `description:"频度"`
  682. Unit string `description:"单位"`
  683. UnitEn string `description:"英文单位"`
  684. ClassifyId int `description:"分类id"`
  685. AdminId int `description:"操作人id"`
  686. AdminName string `description:"操作人姓名"`
  687. Formula string `description:"N值"`
  688. EdbInfoId int `description:"编辑指标id"`
  689. FromEdbInfoId int `description:"计算来源指标id"`
  690. 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"`
  691. MoveType int `description:"移动方式:1:领先(默认),2:滞后"`
  692. MoveFrequency string `description:"移动频度:天/周/月/季/年"`
  693. EdbInfoIdArr []EdbInfoCalculateEdbInfoIdReq `description:"关联指标列表"`
  694. Calendar string `description:"公历/农历" orm:"default(公历)"`
  695. Extra string `description:"指标的额外配置"`
  696. Data interface{} `description:"数据"`
  697. 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)"`
  698. MaxEmptyType int `description:"MAX、MIN公式空值处理类型(1、等于0;2、跳过空值)"`
  699. CalculateFormula string `description:"计算公式"`
  700. }
  701. // 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)
  702. func CheckFormula2(edbInfoArr []*EdbInfo, formulaMap map[string]string, formulaStr string, edbInfoIdBytes []string) (ok bool, err error) {
  703. valArr := make(map[int]float64)
  704. for k, v := range edbInfoArr {
  705. valArr[v.EdbInfoId] = 100 + float64(k)
  706. }
  707. formulaStr = strings.ToUpper(formulaStr)
  708. // 预设里的max和min无需特殊处理
  709. valArrMax := make(map[int]float64)
  710. formulaFormStr := ReplaceFormula(edbInfoArr, valArr, valArrMax, formulaMap, formulaStr, edbInfoIdBytes, false)
  711. if formulaFormStr == "" {
  712. return
  713. }
  714. _, err = engine.ParseAndExec(formulaFormStr)
  715. if err != nil {
  716. fmt.Println(err)
  717. } else {
  718. ok = true
  719. }
  720. //expression := formula.NewExpression(formulaFormStr)
  721. //_, err = expression.Evaluate()
  722. //if err != nil {
  723. //} else {
  724. // ok = true
  725. //}
  726. return
  727. }
  728. // 处理整个数据
  729. func HandleDateSaveDataMap(dateList []string, maxStartDate, minLatestDate time.Time, realSaveDataMap, saveDataMap map[string]map[int]float64, edbInfoIdArr []*EdbInfo, emptyType int) {
  730. for _, date := range dateList {
  731. dateTime, _ := time.ParseInLocation(utils.FormatDate, date, time.Local)
  732. // 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
  733. if dateTime.Before(maxStartDate) {
  734. continue
  735. }
  736. // 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
  737. if dateTime.After(minLatestDate) {
  738. return
  739. }
  740. tmpDataMap := realSaveDataMap[date]
  741. for _, edbInfo := range edbInfoIdArr {
  742. tmpEdbInfoId := edbInfo.EdbInfoId // 当前指标id
  743. // 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
  744. if _, ok := tmpDataMap[tmpEdbInfoId]; !ok {
  745. //day := 0
  746. //switch edbInfo.Frequency {
  747. //case "周度":
  748. // day = 7
  749. //case "旬度":
  750. // day = 15
  751. //case "月度":
  752. // day = 30
  753. //case "季度":
  754. // day = 90
  755. //case "年度":
  756. // day = 365
  757. //}
  758. // 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)
  759. switch emptyType {
  760. case 0:
  761. handleDateDataMap(realSaveDataMap, saveDataMap, date, tmpEdbInfoId, 35)
  762. case 2:
  763. handleDateDataMapBefore(realSaveDataMap, saveDataMap, date, tmpEdbInfoId, edbInfo.StartDate, edbInfo.EndDate)
  764. case 3:
  765. handleDateDataMapAfter(realSaveDataMap, saveDataMap, date, tmpEdbInfoId, edbInfo.StartDate, edbInfo.EndDate)
  766. case 4:
  767. handleDateDataMapZero(saveDataMap, date, tmpEdbInfoId)
  768. }
  769. }
  770. }
  771. }
  772. }
  773. // handleDateDataMap 前后35天 处理单个日期的数据
  774. func handleDateDataMap(realSaveDataMap, saveDataMap map[string]map[int]float64, date string, edbInfoId, day int) {
  775. currDate, _ := time.ParseInLocation(utils.FormatDate, date, time.Local)
  776. // 后一天
  777. nextDateDayStr := currDate.AddDate(0, 0, 1).Format(utils.FormatDate)
  778. // 前一天
  779. preDateDayStr := currDate.AddDate(0, 0, -1).Format(utils.FormatDate)
  780. for i := 1; i <= day; i++ {
  781. // 下个日期的数据
  782. {
  783. if i >= 1 {
  784. nextDateDayStr = currDate.AddDate(0, 0, i).Format(utils.FormatDate)
  785. }
  786. if findDataMap, hasFindDataMap := realSaveDataMap[nextDateDayStr]; hasFindDataMap { // 下一个日期有数据
  787. if val, hasFindItem := findDataMap[edbInfoId]; hasFindItem {
  788. fmt.Println(fmt.Sprintf("date:%s, 无值,取%s的值%.4f", date, nextDateDayStr, val))
  789. saveDataMap[date][edbInfoId] = val
  790. return
  791. }
  792. }
  793. }
  794. // 上个日期的数据
  795. {
  796. if i >= 1 {
  797. preDateDayStr = currDate.AddDate(0, 0, -i).Format(utils.FormatDate)
  798. }
  799. if findDataMap, hasFindDataMap := realSaveDataMap[preDateDayStr]; hasFindDataMap { // 下一个日期有数据
  800. if val, hasFindItem := findDataMap[edbInfoId]; hasFindItem {
  801. fmt.Println(fmt.Sprintf("date:%s, 无值,取%s的值%.4f", date, preDateDayStr, val))
  802. saveDataMap[date][edbInfoId] = val
  803. return
  804. }
  805. }
  806. }
  807. }
  808. }
  809. // 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
  810. func handleDateDataMapBefore(realSaveDataMap, saveDataMap map[string]map[int]float64, date string, edbInfoId int, startDate, endDate string) {
  811. currDate, _ := time.ParseInLocation(utils.FormatDate, date, time.Local)
  812. // 前一天
  813. preDateDay := currDate
  814. startDateT, _ := time.ParseInLocation(utils.FormatDate, startDate, time.Local)
  815. endDateT, _ := time.ParseInLocation(utils.FormatDate, endDate, time.Local)
  816. if currDate.Before(startDateT) {
  817. if findDataMap, hasFindDataMap := realSaveDataMap[startDate]; hasFindDataMap { // 下一个日期有数据
  818. if val, hasFindItem := findDataMap[edbInfoId]; hasFindItem {
  819. //utils.FileLog.Info(fmt.Sprintf("date:%s, 无值,取%s的值%.4f", date, startDate, val))
  820. saveDataMap[date][edbInfoId] = val
  821. return
  822. }
  823. }
  824. return
  825. }
  826. if currDate.After(endDateT) {
  827. if findDataMap, hasFindDataMap := realSaveDataMap[endDate]; hasFindDataMap { // 下一个日期有数据
  828. if val, hasFindItem := findDataMap[edbInfoId]; hasFindItem {
  829. //utils.FileLog.Info(fmt.Sprintf("date:%s, 无值,取%s的值%.4f", date, endDate, val))
  830. saveDataMap[date][edbInfoId] = val
  831. return
  832. }
  833. }
  834. }
  835. for i := 1; preDateDay.After(startDateT) || preDateDay == startDateT; i++ {
  836. // 上个日期的数据
  837. {
  838. preDateDay = currDate.AddDate(0, 0, -i)
  839. preDateDayStr := preDateDay.Format(utils.FormatDate)
  840. if findDataMap, hasFindDataMap := realSaveDataMap[preDateDayStr]; hasFindDataMap { // 下一个日期有数据
  841. if val, hasFindItem := findDataMap[edbInfoId]; hasFindItem {
  842. //utils.FileLog.Info(fmt.Sprintf("date:%s, 无值,取%s的值%.4f", date, preDateDayStr, val))
  843. saveDataMap[date][edbInfoId] = val
  844. return
  845. }
  846. }
  847. }
  848. }
  849. return
  850. }
  851. // 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
  852. func handleDateDataMapAfter(realSaveDataMap, saveDataMap map[string]map[int]float64, date string, edbInfoId int, startDate, endDate string) {
  853. currDate, _ := time.ParseInLocation(utils.FormatDate, date, time.Local)
  854. // 后一天
  855. nextDateDay := currDate
  856. startDateT, _ := time.ParseInLocation(utils.FormatDate, startDate, time.Local)
  857. endDateT, _ := time.ParseInLocation(utils.FormatDate, endDate, time.Local)
  858. if currDate.Before(startDateT) {
  859. if findDataMap, hasFindDataMap := realSaveDataMap[startDate]; hasFindDataMap { // 下一个日期有数据
  860. if val, hasFindItem := findDataMap[edbInfoId]; hasFindItem {
  861. //utils.FileLog.Info(fmt.Sprintf("date:%s, 无值,取%s的值%.4f", date, startDate, val))
  862. saveDataMap[date][edbInfoId] = val
  863. return
  864. }
  865. }
  866. return
  867. }
  868. if currDate.After(endDateT) {
  869. if findDataMap, hasFindDataMap := realSaveDataMap[endDate]; hasFindDataMap { // 下一个日期有数据
  870. if val, hasFindItem := findDataMap[edbInfoId]; hasFindItem {
  871. //utils.FileLog.Info(fmt.Sprintf("date:%s, 无值,取%s的值%.4f", date, endDate, val))
  872. saveDataMap[date][edbInfoId] = val
  873. return
  874. }
  875. }
  876. }
  877. for i := 1; nextDateDay.Before(endDateT) || nextDateDay == endDateT; i++ {
  878. // 下个日期的数据
  879. {
  880. nextDateDay = currDate.AddDate(0, 0, i)
  881. nextDateDayStr := nextDateDay.Format(utils.FormatDate)
  882. if findDataMap, hasFindDataMap := realSaveDataMap[nextDateDayStr]; hasFindDataMap { // 下一个日期有数据
  883. if val, hasFindItem := findDataMap[edbInfoId]; hasFindItem {
  884. //utils.FileLog.Info(fmt.Sprintf("date:%s, 无值,取%s的值%.4f", date, nextDateDayStr, val))
  885. saveDataMap[date][edbInfoId] = val
  886. return
  887. }
  888. }
  889. }
  890. }
  891. return
  892. }
  893. // handleDateDataMapZero 等于0
  894. func handleDateDataMapZero(saveDataMap map[string]map[int]float64, date string, edbInfoId int) {
  895. saveDataMap[date][edbInfoId] = 0
  896. return
  897. }
  898. func GetMaxMinEdbInfo(formula string) string {
  899. flag := 0
  900. for k, v := range formula {
  901. if v >= 65 && v <= 122 {
  902. // 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
  903. for i := k; i >= 4; i-- {
  904. if formula[i:i+1] == "(" && flag >= 1 {
  905. t := formula[i-4 : i]
  906. if t == "[@@]" || t == "[@!]" {
  907. formula = formula[:k] + strings.ToLower(formula[k:k+1]) + formula[k+1:]
  908. }
  909. break
  910. }
  911. }
  912. } else if formula[k:k+1] == "(" {
  913. flag += 1
  914. } else if formula[k:k+1] == ")" {
  915. flag -= 1
  916. }
  917. }
  918. return formula
  919. }
  920. // PredictRuleCalculateByNineResp 获取预测指标规则9的绘图数据返回
  921. type PredictRuleCalculateByNineResp struct {
  922. LatestDate string
  923. DataList interface{}
  924. }
  925. // BatchEdbInfoCalculateBatchSaveResp 批量添加 计算指标 返回数据
  926. type BatchEdbInfoCalculateBatchSaveResp struct {
  927. Fail []BatchEdbInfoCalculateBatchSaveFailResp `description:"添加失败的指标"`
  928. Success []BatchEdbInfoCalculateBatchSaveSuccessResp `description:"添加成功的指标"`
  929. }
  930. // BatchEdbInfoCalculateBatchSaveFailResp 添加失败的指标信息
  931. type BatchEdbInfoCalculateBatchSaveFailResp struct {
  932. CalculateId string `description:"当前请求时,单个计算的唯一标识"`
  933. Msg string `description:"用户提示信息"`
  934. ErrMsg string `description:"错误信息,内部查看"`
  935. }
  936. // BatchEdbInfoCalculateBatchSaveSuccessResp 添加成功的指标信息
  937. type BatchEdbInfoCalculateBatchSaveSuccessResp struct {
  938. ClassifyId int `description:"分类id"`
  939. CalculateId string `description:"当前请求时,单个计算的唯一标识"`
  940. EdbInfoId int `description:"指标ID"`
  941. UniqueCode string `description:"指标唯一编码"`
  942. }