base_predict_from_calculate.go 13 KB

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  1. package models
  2. import (
  3. "encoding/json"
  4. "errors"
  5. "eta_gn/eta_index_lib/global"
  6. "eta_gn/eta_index_lib/utils"
  7. "fmt"
  8. "github.com/dengsgo/math-engine/engine"
  9. "github.com/shopspring/decimal"
  10. "gorm.io/gorm"
  11. "strconv"
  12. "strings"
  13. "time"
  14. )
  15. // PredictEdbInfoCalculateSaveReq 预测计算(运算)指标请求参数
  16. type PredictEdbInfoCalculateSaveReq struct {
  17. AdminId int `description:"添加人id"`
  18. AdminName string `description:"添加人名称"`
  19. EdbName string `description:"指标名称"`
  20. Frequency string `description:"频率"`
  21. Unit string `description:"单位"`
  22. ClassifyId int `description:"分类id"`
  23. CalculateFormula string `description:"计算公式"`
  24. EdbInfoIdArr []struct {
  25. EdbInfoId int `description:"指标id"`
  26. FromTag string `description:"指标对应标签"`
  27. }
  28. }
  29. // PredictCalculateItems 预测计算(运算)指标信息
  30. type PredictCalculateItems struct {
  31. EdbInfoId int
  32. DataMap map[string]float64
  33. }
  34. // EditPredictCalculate 新增预测计算(运算)指标
  35. func EditPredictCalculate(edbInfo *EdbInfo, calculateMappingList []*EdbInfoCalculateMapping) (err error) {
  36. to := global.DEFAULT_DmSQL.Begin()
  37. defer func() {
  38. if err != nil {
  39. tmpErr := to.Rollback().Error
  40. errMsg := fmt.Sprintf("AddPredictCalculate Err:%s" + err.Error())
  41. if tmpErr != nil {
  42. errMsg += `;rollback失败:` + tmpErr.Error()
  43. }
  44. utils.FileLog.Info(errMsg)
  45. return
  46. }
  47. tmpErr := to.Commit().Error
  48. if tmpErr != nil {
  49. errMsg := fmt.Sprintf("AddPredictCalculate commit Err:%s" + tmpErr.Error())
  50. utils.FileLog.Info(errMsg)
  51. }
  52. }()
  53. // 修改指标信息
  54. err = edbInfo.Update(
  55. []string{"EdbName", "Frequency", "Unit", "ClassifyId", "CalculateFormula", "EmptyType", "MaxEmptyType", "Extra", "EdbNameEn", "UnitEn"},
  56. )
  57. if err != nil {
  58. return
  59. }
  60. //删除,计算指标关联的,基础指标的关联关系
  61. sql := ` DELETE FROM edb_info_calculate_mapping WHERE edb_info_id = ? `
  62. err = to.Exec(sql, edbInfo.EdbInfoId).Error
  63. if err != nil {
  64. err = errors.New("删除计算指标关联关系失败,Err:" + err.Error())
  65. return
  66. }
  67. // 插入新的关系表
  68. if len(calculateMappingList) > 0 {
  69. err = to.CreateInBatches(calculateMappingList, len(calculateMappingList)).Error
  70. }
  71. //数据表
  72. tableName := GetEdbDataTableName(edbInfo.Source, edbInfo.SubSource)
  73. //清空原有数据
  74. sql = ` DELETE FROM ` + tableName + ` WHERE edb_info_id = ? `
  75. err = to.Exec(sql, edbInfo.EdbInfoId).Error
  76. if err != nil {
  77. return
  78. }
  79. return
  80. }
  81. func AddPredictCalculateData(edbInfoIdList []*EdbInfo, edbInfoTag map[string]int, edbInfo *EdbInfo, edbCode, formulaStr string, edbInfoIdBytes []string) (latestDateStr string, latestValue float64, err error) {
  82. to := global.DEFAULT_DmSQL.Begin()
  83. defer func() {
  84. if err != nil {
  85. fmt.Println("AddPredictCalculateData Calculate,Err:" + err.Error())
  86. _ = to.Rollback()
  87. } else {
  88. _ = to.Commit()
  89. }
  90. }()
  91. latestDateStr, latestValue, err = refreshAllPredictCalculate(to, edbInfoIdList, edbInfoTag, edbInfo.EdbInfoId, edbInfo.Source, edbInfo.SubSource, edbCode, formulaStr, "", edbInfoIdBytes, edbInfo.EmptyType, edbInfo.MaxEmptyType, edbInfo.Extra)
  92. return
  93. }
  94. // RefreshAllPredictCalculate 刷新预测计算指标的全部数据
  95. func RefreshAllPredictCalculate(edbInfoIdList []*EdbInfo, edbInfoTag map[string]int, edbInfoId, source, subSource int, edbCode, formulaStr, startDate string, edbInfoIdBytes []string, emptyType, maxEmptyType int, extra string) (latestDateStr string, latestValue float64, err error) {
  96. to := global.DEFAULT_DmSQL.Begin()
  97. defer func() {
  98. if err != nil {
  99. fmt.Println("RefreshAllCalculate,Err:" + err.Error())
  100. _ = to.Rollback()
  101. } else {
  102. _ = to.Commit()
  103. }
  104. }()
  105. latestDateStr, latestValue, err = refreshAllPredictCalculate(to, edbInfoIdList, edbInfoTag, edbInfoId, source, subSource, edbCode, formulaStr, startDate, edbInfoIdBytes, emptyType, maxEmptyType, extra)
  106. return
  107. }
  108. // refreshAllPredictCalculate 刷新预测计算指标的全部数据
  109. func refreshAllPredictCalculate(to *gorm.DB, edbInfoIdList []*EdbInfo, edbInfoTag map[string]int, edbInfoId, source, subSource int, edbCode, formulaStr, startDate string, edbInfoIdBytes []string, emptyType, maxEmptyType int, extra string) (latestDateStr string, latestValue float64, err error) {
  110. fmt.Println("startDate:", startDate)
  111. // 最小的结束日期 , 最晚的数据开始日期
  112. var newLatestDate, minLatestDate, maxStartDate time.Time
  113. dateList := make([]string, 0) // 第一个指标的日期数据
  114. realSaveDataMap := make(map[string]map[int]float64)
  115. saveDataMap := make(map[string]map[int]float64)
  116. dateMap := make(map[string]struct{}) // 最终的日期数据
  117. dateTagConfig := ""
  118. if extra != "" {
  119. var dateConfig CalculateEdbExtra
  120. err = json.Unmarshal([]byte(extra), &dateConfig)
  121. if err != nil {
  122. err = fmt.Errorf("refreshAllCalculate,extra解析失败,Err:%s", err.Error())
  123. return
  124. }
  125. dateTagConfig = dateConfig.DateTag
  126. }
  127. for edbInfoIndex, v := range edbInfoIdList {
  128. // 单独存储max、min函数里的指标的数据
  129. tmpNewLatestDate, tmpErr := time.ParseInLocation(utils.FormatDate, v.LatestDate, time.Local)
  130. if tmpErr != nil {
  131. err = errors.New(`最近的日期格式化失败;日期:` + v.LatestDate + `;err:` + tmpErr.Error())
  132. return
  133. }
  134. if newLatestDate.IsZero() || tmpNewLatestDate.Before(newLatestDate) {
  135. newLatestDate = tmpNewLatestDate
  136. }
  137. // 获取关联指标数据
  138. dataList, tmpErr := GetPredictEdbDataListAllByStartDate(v, 1, startDate)
  139. if tmpErr != nil {
  140. err = tmpErr
  141. return
  142. }
  143. for _, dv := range dataList { // 现有实际数据
  144. if val, ok := realSaveDataMap[dv.DataTime]; ok {
  145. if _, ok := val[v.EdbInfoId]; !ok {
  146. val[v.EdbInfoId] = dv.Value
  147. }
  148. } else {
  149. temp := make(map[int]float64)
  150. temp[v.EdbInfoId] = dv.Value
  151. realSaveDataMap[dv.DataTime] = temp
  152. }
  153. // 待处理的数据
  154. if val, ok := saveDataMap[dv.DataTime]; ok {
  155. if _, ok := val[v.EdbInfoId]; !ok {
  156. val[v.EdbInfoId] = dv.Value
  157. }
  158. } else {
  159. temp := make(map[int]float64)
  160. temp[v.EdbInfoId] = dv.Value
  161. saveDataMap[dv.DataTime] = temp
  162. }
  163. if dateTagConfig == "all" {
  164. if _, ok := dateMap[dv.DataTime]; !ok {
  165. dateList = append(dateList, dv.DataTime)
  166. dateMap[dv.DataTime] = struct{}{}
  167. }
  168. } else if dateTagConfig == "" { // 默认取第一个指标的时间序列
  169. if edbInfoIndex == 0 {
  170. if _, ok := dateMap[dv.DataTime]; !ok {
  171. dateList = append(dateList, dv.DataTime)
  172. dateMap[dv.DataTime] = struct{}{}
  173. }
  174. }
  175. } else {
  176. if eId, ok := edbInfoTag[dateTagConfig]; ok {
  177. if v.EdbInfoId == eId {
  178. if _, ok1 := dateMap[dv.DataTime]; !ok1 {
  179. dateList = append(dateList, dv.DataTime)
  180. dateMap[dv.DataTime] = struct{}{}
  181. }
  182. }
  183. }
  184. }
  185. }
  186. }
  187. // 处理最大日期和最小日期
  188. for _, v := range dateList {
  189. tmpDate, _ := time.ParseInLocation(utils.FormatDate, v, time.Local)
  190. if minLatestDate.IsZero() || tmpDate.After(minLatestDate) {
  191. minLatestDate = tmpDate
  192. }
  193. if maxStartDate.IsZero() || tmpDate.Before(maxStartDate) {
  194. maxStartDate = tmpDate
  195. }
  196. }
  197. //数据处理,将日期内不全的数据做填补
  198. HandleDateSaveDataMap(dateList, maxStartDate, minLatestDate, realSaveDataMap, saveDataMap, edbInfoIdList, emptyType)
  199. formulaDateSlice, formulaDateMap, err := utils.HandleFormulaJson(formulaStr, minLatestDate)
  200. if err != nil {
  201. return
  202. }
  203. addSql := ` INSERT INTO edb_data_predict_calculate (edb_info_id,edb_code,data_time,value,create_time,modify_time,data_timestamp) values `
  204. var isAdd bool
  205. var sql string
  206. dataTableName := GetEdbDataTableName(source, subSource)
  207. //获取指标所有数据
  208. dataList, err := GetAllEdbDataListByTo(to, edbInfoId, source, subSource)
  209. if err != nil {
  210. return
  211. }
  212. dataMap := make(map[string]string)
  213. for _, v := range dataList {
  214. dataMap[v.DataTime] = v.Value
  215. }
  216. edbInfoIdStr := strconv.Itoa(edbInfoId)
  217. existDataMap := make(map[string]string)
  218. removeDateList := make([]string, 0) //需要移除的日期
  219. // 判断是否特殊处理max和min函数
  220. maxDealFlag := false
  221. if emptyType == 4 && maxEmptyType == 2 {
  222. maxDealFlag = true
  223. }
  224. for sk, sv := range saveDataMap {
  225. if _, ok := dateMap[sk]; !ok { //不在最终的日期序列里面不计算
  226. continue
  227. }
  228. // 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
  229. if emptyType == 1 {
  230. if len(sv) != len(edbInfoIdList) {
  231. continue
  232. }
  233. }
  234. // 根据时间范围,选择对应的公式
  235. formulaMap := make(map[string]string)
  236. formulaStr = ""
  237. for _, fv := range formulaDateSlice {
  238. if sk < fv {
  239. if f, ok := formulaDateMap[fv]; ok {
  240. formulaStr = f
  241. formulaMap, err = utils.CheckFormula(formulaStr)
  242. if err != nil {
  243. err = fmt.Errorf("公式错误,请重新填写")
  244. return
  245. }
  246. }
  247. break
  248. }
  249. }
  250. if formulaStr == "" {
  251. continue
  252. }
  253. svMax := make(map[int]float64)
  254. if maxDealFlag {
  255. // 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
  256. if svMaxData, ok := realSaveDataMap[sk]; ok {
  257. svMax = svMaxData
  258. }
  259. }
  260. formulaStr = strings.ToUpper(formulaStr)
  261. formulaFormStr := ReplaceFormula(edbInfoIdList, sv, svMax, formulaMap, formulaStr, edbInfoIdBytes, maxDealFlag)
  262. if formulaFormStr != "" {
  263. fmt.Println(fmt.Sprintf("date %s:formulaFormStr:%s", sk, formulaFormStr))
  264. calVal, err := engine.ParseAndExec(formulaFormStr)
  265. if err != nil {
  266. // 分母为0的报错,忽略该循环
  267. if utils.IsDivideZero(err) {
  268. removeDateList = append(removeDateList, sk)
  269. continue
  270. }
  271. err = errors.New("计算失败:获取计算值失败 Err:" + err.Error() + ";formulaStr:" + formulaFormStr)
  272. return "", 0, err
  273. }
  274. nanCheck := fmt.Sprintf("%0.f", calVal)
  275. // 分母为0.0的报错
  276. if nanCheck == "NaN" || nanCheck == "+Inf" || nanCheck == "-Inf" {
  277. removeDateList = append(removeDateList, sk)
  278. continue
  279. }
  280. saveValue := decimal.NewFromFloat(calVal).Round(4).String() //utils.SubFloatToString(calVal, 4)
  281. if existVal, ok := dataMap[sk]; !ok {
  282. dataTime, _ := time.ParseInLocation(utils.FormatDate, sk, time.Local)
  283. timestamp := dataTime.UnixNano() / 1e6
  284. timeStr := fmt.Sprintf("%d", timestamp)
  285. if _, existOk := existDataMap[sk]; !existOk {
  286. addSql += GetAddSql(edbInfoIdStr, edbCode, sk, timeStr, saveValue)
  287. isAdd = true
  288. }
  289. existDataMap[sk] = sk
  290. } else {
  291. existValDecimal, tmpErr := decimal.NewFromString(existVal)
  292. if tmpErr != nil {
  293. err = tmpErr
  294. return "", 0, err
  295. }
  296. existStr := existValDecimal.String()
  297. if existStr != saveValue {
  298. sql := ` UPDATE %s SET value=?,modify_time=NOW() WHERE edb_info_id=? AND data_time=? `
  299. sql = fmt.Sprintf(sql, dataTableName)
  300. err = to.Exec(sql, saveValue, edbInfoId, sk).Error
  301. if err != nil {
  302. return "", 0, err
  303. }
  304. }
  305. }
  306. } else {
  307. //计算公式异常,那么就移除该指标
  308. removeDateList = append(removeDateList, sk)
  309. continue
  310. }
  311. }
  312. if isAdd {
  313. addSql = strings.TrimRight(addSql, ",")
  314. err = global.DEFAULT_DmSQL.Exec(addSql).Error
  315. if err != nil {
  316. fmt.Println("RefreshAllCalculate add Err", err.Error())
  317. return
  318. }
  319. }
  320. if len(removeDateList) > 0 {
  321. removeDateStr := strings.Join(removeDateList, `','`)
  322. removeDateStr = `'` + removeDateStr + `'`
  323. //如果拼接指标变更了,那么需要删除所有的指标数据
  324. tableName := GetEdbDataTableName(source, subSource)
  325. sql := fmt.Sprintf(` DELETE FROM %s WHERE edb_info_id = ? and data_time in (%s) `, tableName, removeDateStr)
  326. err = to.Exec(sql, edbInfoId).Error
  327. if err != nil {
  328. err = fmt.Errorf("删除计算失败的计算指标数据失败,Err:" + err.Error())
  329. return
  330. }
  331. }
  332. //查询预测日期
  333. if !newLatestDate.IsZero() {
  334. latestDateStr = newLatestDate.Format(utils.FormatDate)
  335. sql = fmt.Sprintf(` SELECT * FROM %s WHERE edb_info_id = ? and data_time <= ? ORDER BY data_time desc limit 1`, dataTableName)
  336. var latestDate EdbData
  337. e := to.Raw(sql, edbInfoId, latestDateStr).Find(&latestDate).Error
  338. if e != nil {
  339. if e.Error() == utils.ErrNoRow() {
  340. //首个日期的值
  341. sql = fmt.Sprintf(` SELECT * FROM %s WHERE edb_info_id = ? ORDER BY data_time ASC limit 1`, dataTableName)
  342. e = to.Raw(sql, edbInfoId).Find(&latestDate).Error
  343. if e != nil {
  344. err = fmt.Errorf("查询最新日期失败,Err:" + e.Error())
  345. return
  346. }
  347. floatValue, _ := strconv.ParseFloat(latestDate.Value, 64)
  348. latestDateStr = latestDate.DataTime
  349. latestValue = floatValue
  350. } else {
  351. err = fmt.Errorf("查询最新日期失败,Err:" + e.Error())
  352. return
  353. }
  354. } else {
  355. floatValue, _ := strconv.ParseFloat(latestDate.Value, 64)
  356. latestDateStr = latestDate.DataTime
  357. latestValue = floatValue
  358. }
  359. }
  360. return
  361. }