predict_edb_data_calculate_bp.go 14 KB

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  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. "strconv"
  9. "strings"
  10. "time"
  11. )
  12. // SavePredictCalculateBp 变频
  13. func SavePredictCalculateBp(req *EdbInfoCalculateBatchSaveReq, fromEdbInfo *EdbInfo, edbCode, uniqueCode string, sysUserId int, sysUserRealName, lang string) (edbInfo *EdbInfo, latestDateStr string, latestValue float64, err error) {
  14. o := orm.NewOrm()
  15. to, err := o.Begin()
  16. if err != nil {
  17. return
  18. }
  19. defer func() {
  20. if err != nil {
  21. fmt.Println("AddPredictCalculateBp,Err:" + err.Error())
  22. _ = to.Rollback()
  23. } else {
  24. _ = to.Commit()
  25. }
  26. }()
  27. if req.EdbInfoId <= 0 {
  28. edbInfo = new(EdbInfo)
  29. edbInfo.EdbInfoType = 1
  30. edbInfo.Source = utils.DATA_SOURCE_PREDICT_CALCULATE_BP
  31. edbInfo.SourceName = "预测变频"
  32. edbInfo.EdbCode = edbCode
  33. edbInfo.EdbName = req.EdbName
  34. edbInfo.EdbNameSource = req.EdbName
  35. edbInfo.Frequency = req.Frequency
  36. edbInfo.Unit = req.Unit
  37. edbInfo.ClassifyId = req.ClassifyId
  38. edbInfo.SysUserId = sysUserId
  39. edbInfo.SysUserRealName = sysUserRealName
  40. edbInfo.CreateTime = time.Now()
  41. edbInfo.ModifyTime = time.Now()
  42. edbInfo.UniqueCode = uniqueCode
  43. edbInfo.EdbNameEn = req.EdbName
  44. edbInfo.UnitEn = req.Unit
  45. edbInfo.CalculateFormula = req.Formula
  46. edbInfo.EdbType = 2
  47. newEdbInfoId, tmpErr := to.Insert(edbInfo)
  48. if tmpErr != nil {
  49. err = tmpErr
  50. return
  51. }
  52. edbInfo.EdbInfoId = int(newEdbInfoId)
  53. //关联关系
  54. {
  55. calculateMappingItem := new(EdbInfoCalculateMapping)
  56. calculateMappingItem.CreateTime = time.Now()
  57. calculateMappingItem.ModifyTime = time.Now()
  58. calculateMappingItem.Sort = 1
  59. calculateMappingItem.EdbCode = edbCode
  60. calculateMappingItem.EdbInfoId = edbInfo.EdbInfoId
  61. calculateMappingItem.FromEdbInfoId = fromEdbInfo.EdbInfoId
  62. calculateMappingItem.FromEdbCode = fromEdbInfo.EdbCode
  63. calculateMappingItem.FromEdbName = fromEdbInfo.EdbName
  64. calculateMappingItem.FromSource = fromEdbInfo.Source
  65. calculateMappingItem.FromSourceName = fromEdbInfo.SourceName
  66. calculateMappingItem.FromTag = ""
  67. calculateMappingItem.Source = edbInfo.Source
  68. calculateMappingItem.SourceName = edbInfo.SourceName
  69. _, err = to.Insert(calculateMappingItem)
  70. if err != nil {
  71. return
  72. }
  73. }
  74. } else {
  75. edbInfo, err = GetEdbInfoById(req.EdbInfoId)
  76. if err != nil {
  77. return
  78. }
  79. latestDateStr = edbInfo.LatestDate
  80. latestValue = edbInfo.LatestValue
  81. //修改指标信息
  82. switch lang {
  83. case utils.EnLangVersion:
  84. edbInfo.EdbNameEn = req.EdbName
  85. edbInfo.UnitEn = req.Unit
  86. default:
  87. edbInfo.EdbName = req.EdbName
  88. edbInfo.Unit = req.Unit
  89. edbInfo.EdbNameSource = req.EdbName
  90. }
  91. edbInfo.Frequency = req.Frequency
  92. edbInfo.ClassifyId = req.ClassifyId
  93. edbInfo.ModifyTime = time.Now()
  94. _, err = to.Update(edbInfo, "EdbName", "EdbNameSource", "Frequency", "Unit", "ClassifyId", "ModifyTime", "EdbNameEn", "UnitEn")
  95. if err != nil {
  96. return
  97. }
  98. //判断计算指标是否被更换
  99. var existCondition string
  100. var existPars []interface{}
  101. existCondition += " AND edb_info_id=? AND from_edb_info_id=? "
  102. existPars = append(existPars, edbInfo.EdbInfoId, req.FromEdbInfoId)
  103. count, e := GetEdbInfoCalculateCountByCondition(existCondition, existPars)
  104. if e != nil {
  105. err = errors.New("判断指标是否改变失败,Err:" + e.Error())
  106. return
  107. }
  108. if count > 0 { // 指标未被替换,无需重新计算
  109. return
  110. }
  111. //删除,计算指标关联的,基础指标的关联关系
  112. sql := ` DELETE FROM edb_info_calculate_mapping WHERE edb_info_id = ? `
  113. _, err = to.Raw(sql, edbInfo.EdbInfoId).Exec()
  114. if err != nil {
  115. err = errors.New("删除计算指标关联关系失败,Err:" + err.Error())
  116. return
  117. }
  118. //清空原有数据
  119. sql = ` DELETE FROM edb_data_predict_calculate_bp WHERE edb_info_id = ? `
  120. _, err = to.Raw(sql, edbInfo.EdbInfoId).Exec()
  121. if err != nil {
  122. return
  123. }
  124. //关联关系
  125. {
  126. calculateMappingItem := &EdbInfoCalculateMapping{
  127. EdbInfoCalculateMappingId: 0,
  128. EdbInfoId: edbInfo.EdbInfoId,
  129. Source: utils.DATA_SOURCE_PREDICT_CALCULATE_BP,
  130. SourceName: "预测变频",
  131. EdbCode: edbInfo.EdbCode,
  132. FromEdbInfoId: fromEdbInfo.EdbInfoId,
  133. FromEdbCode: fromEdbInfo.EdbCode,
  134. FromEdbName: fromEdbInfo.EdbName,
  135. FromSource: fromEdbInfo.Source,
  136. FromSourceName: fromEdbInfo.SourceName,
  137. FromTag: "",
  138. Sort: 1,
  139. CreateTime: time.Now(),
  140. ModifyTime: time.Now(),
  141. }
  142. _, err = to.Insert(calculateMappingItem)
  143. if err != nil {
  144. return
  145. }
  146. }
  147. }
  148. //计算数据
  149. latestDateStr, latestValue, err = refreshAllPredictCalculateBp(to, edbInfo.EdbInfoId, edbInfo.Source, edbInfo.SubSource, fromEdbInfo, edbInfo.EdbCode, "", "", 0)
  150. return
  151. }
  152. func RefreshAllPredictCalculateBp(edbInfoId, source, subSource int, fromEdbInfo *EdbInfo, edbCode, startDate, endDate string) (latestDateStr string, latestValue float64, err error) {
  153. o := orm.NewOrm()
  154. to, err := o.Begin()
  155. if err != nil {
  156. return
  157. }
  158. defer func() {
  159. if err != nil {
  160. fmt.Println("RefreshAllPredictCalculateBp,Err:" + err.Error())
  161. _ = to.Rollback()
  162. } else {
  163. _ = to.Commit()
  164. }
  165. }()
  166. // 计算数据
  167. latestDateStr, latestValue, err = refreshAllPredictCalculateBp(to, edbInfoId, source, subSource, fromEdbInfo, edbCode, startDate, endDate, 1)
  168. return
  169. }
  170. // refreshAllPredictCalculateBp 刷新变频数据
  171. func refreshAllPredictCalculateBp(to orm.TxOrmer, edbInfoId, source, subSource int, fromEdbInfo *EdbInfo, edbCode, startDate, endDate string, order int) (latestDateStr string, latestValue float64, err error) {
  172. edbInfoIdStr := strconv.Itoa(edbInfoId)
  173. // 获取关联指标数据
  174. dataList, err := GetPredictEdbDataListAllByStartDate(fromEdbInfo, order, "")
  175. if err != nil {
  176. return
  177. }
  178. latestDateStr = fromEdbInfo.LatestDate
  179. var dateArr []string
  180. dataMap := make(map[string]*EdbInfoSearchData)
  181. fromDataMap := make(map[string]float64)
  182. //来源指指标数据
  183. for _, v := range dataList {
  184. dateArr = append(dateArr, v.DataTime)
  185. dataMap[v.DataTime] = v
  186. fromDataMap[v.DataTime] = v.Value
  187. }
  188. fmt.Println("source:", source)
  189. //获取变频指标所有数据
  190. existDataList, err := GetAllEdbDataListByTo(to, edbInfoId, source, subSource)
  191. if err != nil {
  192. return
  193. }
  194. //计算指标的map
  195. existDataMap := make(map[string]*EdbData, 0)
  196. addSql := ` INSERT INTO edb_data_predict_calculate_bp(edb_info_id,edb_code,data_time,value,create_time,modify_time,data_timestamp) values `
  197. var isAdd bool
  198. var lastValue float64 //最后数据的值(float64)
  199. var lastValueStr string //最后数据的值(string)
  200. //待删除的日期
  201. removeDateList := make([]string, 0)
  202. if len(existDataList) > 0 {
  203. //第一个已经入库的日期
  204. firstExistDataTimeStr := existDataList[0].DataTime //计算指标数据第一条的日期字符串
  205. if len(dateArr) > 0 {
  206. firstFromDataTimeStr := dateArr[0] //来源数据第一条的日期字符串
  207. firstExistDataTime, _ := time.ParseInLocation(utils.FormatDate, firstExistDataTimeStr, time.Local) //计算指标数据第一条的日期(time类型)
  208. firstFromDataTime, _ := time.ParseInLocation(utils.FormatDate, firstFromDataTimeStr, time.Local) //来源数据第一条的日期(time类型)
  209. nowDateStr := time.Now().Format(utils.FormatDate) //当天日期字符串
  210. nowDate, _ := time.ParseInLocation(utils.FormatDate, nowDateStr, firstFromDataTime.Location()) //当天日期(time类型)
  211. lastValue = fromDataMap[firstFromDataTimeStr]
  212. lastValueStr = decimal.NewFromFloat(lastValue).String()
  213. //第一步: 判断来源指标的开始时间与计算指标的开始时间是否相等,相等的话,那么就不需要对两个时间之间的数据做处理
  214. if firstExistDataTimeStr != firstFromDataTimeStr {
  215. if firstExistDataTime.Before(firstFromDataTime) { //如果计算指标第一条数据的开始时间 早于 来源指标的第一条开始时间,那么需要对两个时间之间的计算指标数据做 删除处理
  216. for _, v := range existDataList {
  217. if v.DataTime == firstFromDataTimeStr {
  218. if tmpLastValue, ok := fromDataMap[firstFromDataTimeStr]; ok { //来源指标当天的数据
  219. lastValue = tmpLastValue
  220. lastValueStr = decimal.NewFromFloat(lastValue).String()
  221. }
  222. break
  223. }
  224. removeDateList = append(removeDateList, v.DataTime)
  225. }
  226. } else {
  227. for _, v := range dateArr { //如果计算指标第一条数据的开始时间 晚于 来源指标的第一条开始时间,那么需要对两个时间之间的计算指标数据做 新增处理
  228. vDataTime, _ := time.ParseInLocation(utils.FormatDate, v, time.Local) //当前日期(time类型)
  229. if firstExistDataTime.Equal(vDataTime) || firstExistDataTime.Before(vDataTime) {
  230. if tmpLastValue, ok := fromDataMap[v]; ok { //来源指标当天的数据
  231. lastValue = tmpLastValue
  232. lastValueStr = decimal.NewFromFloat(lastValue).String()
  233. }
  234. break
  235. }
  236. currentDate, _ := time.ParseInLocation(utils.FormatDate, v, time.Local)
  237. timestamp := currentDate.UnixNano() / 1e6
  238. timestampStr := fmt.Sprintf("%d", timestamp)
  239. addSql += GetAddSql(edbInfoIdStr, edbCode, v, timestampStr, lastValueStr)
  240. // 实际数据的值
  241. if fromEdbInfo.LatestDate == v {
  242. latestValue = lastValue
  243. }
  244. isAdd = true
  245. }
  246. }
  247. }
  248. //第二步 剩余数据每天修改
  249. day := int(nowDate.Sub(firstExistDataTime).Hours() / float64(24))
  250. //第三步: 已经入库的数据处理
  251. for _, v := range existDataList {
  252. existDataMap[v.DataTime] = v
  253. }
  254. for k := day; k >= 0; k-- {
  255. needDay := nowDate.AddDate(0, 0, -k)
  256. needDayStr := needDay.Format(utils.FormatDate)
  257. tmpExistData, ok := existDataMap[needDayStr]
  258. if ok {
  259. if tmpLastValue, ok := fromDataMap[tmpExistData.DataTime]; ok { //来源指标当天的数据
  260. lastValue = tmpLastValue
  261. //lastValueStr = decimal.NewFromFloat(lastValue).String()
  262. lastValueStr = fmt.Sprintf("%.4f", lastValue)
  263. }
  264. if fromEdbInfo.LatestDate == tmpExistData.DataTime {
  265. latestValue = lastValue
  266. }
  267. //如果对应的值不匹配
  268. if tmpExistData.Value != lastValueStr {
  269. err = ModifyEdbDataById(source, subSource, tmpExistData.EdbDataId, lastValueStr)
  270. if err != nil {
  271. return
  272. }
  273. }
  274. } else {
  275. timestamp := needDay.UnixNano() / 1e6
  276. timestampStr := fmt.Sprintf("%d", timestamp)
  277. addSql += GetAddSql(edbInfoIdStr, edbCode, needDayStr, timestampStr, lastValueStr)
  278. if fromEdbInfo.LatestDate == needDayStr {
  279. latestValue = lastValue
  280. }
  281. isAdd = true
  282. }
  283. }
  284. } else {
  285. //如果没有来源指标数据,那么已经入库的计算指标数据需要全部删除
  286. tableName := GetEdbDataTableName(source, subSource)
  287. sql := fmt.Sprintf(` DELETE FROM %s WHERE edb_info_id = ?`, tableName)
  288. _, err = to.Raw(sql, edbInfoId).Exec()
  289. if err != nil {
  290. err = fmt.Errorf("删除所有的变频指标数据失败,Err:" + err.Error())
  291. return
  292. }
  293. //for _, v := range existDataList {
  294. // removeDateList = append(removeDateList, v.DataTime)
  295. //}
  296. }
  297. } else {
  298. existMap := make(map[string]string)
  299. dataLen := len(dataList)
  300. for i := 0; i < dataLen; i++ {
  301. //当期
  302. currentItem := dataList[i]
  303. currentDate, _ := time.ParseInLocation(utils.FormatDate, currentItem.DataTime, time.Local)
  304. var day int
  305. var preItem *EdbInfoSearchData
  306. var preDate time.Time
  307. if i == 0 {
  308. day = int(time.Now().Sub(currentDate).Hours() / float64(24))
  309. preDate = time.Now()
  310. } else {
  311. j := i - 1
  312. if j < dataLen {
  313. preItem = dataList[j]
  314. preDate, _ = time.ParseInLocation(utils.FormatDate, preItem.DataTime, time.Local)
  315. day = int(preDate.Sub(currentDate).Hours() / float64(24))
  316. utils.FileLog.Info("preItem.DataTime:" + preItem.DataTime + ";currentItem.DataTime" + currentItem.DataTime)
  317. }
  318. }
  319. for k := 0; k <= day; k++ {
  320. needDay := preDate.AddDate(0, 0, -k)
  321. needDayStr := needDay.Format(utils.FormatDate)
  322. existKey := edbCode + needDayStr
  323. if _, ok := existMap[existKey]; !ok {
  324. timestamp := needDay.UnixNano() / 1e6
  325. timestampStr := fmt.Sprintf("%d", timestamp)
  326. valStr := decimal.NewFromFloat(currentItem.Value).String()
  327. addSql += GetAddSql(edbInfoIdStr, edbCode, needDayStr, timestampStr, valStr)
  328. if fromEdbInfo.LatestDate == needDayStr {
  329. latestValue = currentItem.Value
  330. }
  331. isAdd = true
  332. }
  333. existMap[existKey] = needDayStr
  334. }
  335. existKey := edbCode + currentItem.DataTime
  336. if _, ok := existMap[existKey]; !ok {
  337. currentDate, _ := time.ParseInLocation(utils.FormatDate, currentItem.DataTime, time.Local)
  338. timestamp := currentDate.UnixNano() / 1e6
  339. timestampStr := fmt.Sprintf("%d", timestamp)
  340. valStr := decimal.NewFromFloat(currentItem.Value).String()
  341. addSql += GetAddSql(edbInfoIdStr, edbCode, currentItem.DataTime, timestampStr, valStr)
  342. if fromEdbInfo.LatestDate == currentItem.DataTime {
  343. latestValue = currentItem.Value
  344. }
  345. isAdd = true
  346. }
  347. existMap[existKey] = currentItem.DataTime
  348. }
  349. }
  350. // 删除不需要的指标数据
  351. if len(removeDateList) > 0 {
  352. removeDateStr := strings.Join(removeDateList, `","`)
  353. removeDateStr = `"` + removeDateStr + `"`
  354. //如果拼接指标变更了,那么需要删除所有的指标数据
  355. tableName := GetEdbDataTableName(source, subSource)
  356. sql := fmt.Sprintf(` DELETE FROM %s WHERE edb_info_id = ? and data_time in (%s) `, tableName, removeDateStr)
  357. _, err = to.Raw(sql, edbInfoId).Exec()
  358. if err != nil {
  359. err = fmt.Errorf("删除不存在的变频指标数据失败,Err:" + err.Error())
  360. return
  361. }
  362. }
  363. if isAdd {
  364. addSql = strings.TrimRight(addSql, ",")
  365. _, err = to.Raw(addSql).Exec()
  366. }
  367. return
  368. }