predict_edb_data_calculate_ljztbpj.go 19 KB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285286287288289290291292293294295296297298299300301302303304305306307308309310311312313314315316317318319320321322323324325326327328329330331332333334335336337338339340341342343344345346347348349350351352353354355356357358359360361362363364365366367368369370371372373374375376377378379380381382383384385386387388389390391392393394395396397398399400401402403404405406407408409410411412413414415416417418419420421422423424425426427428429430431432433434435436437438439440441442443444445446447448449450451452453454455456457458459460461462463464465466467468469470471472473474475476477478479480481482483484485486487488489490491492493494495496497498499500501502503504505506507508509510511512513514515516517518519520521522523524525526527528529530531532533534535536537538539540541542543544545546547548549550551552553554555556557558559560561562563564565566567568569570571572573574575576577578579580581582583584585586587588589590591592593594595
  1. package models
  2. import (
  3. "errors"
  4. "fmt"
  5. "github.com/beego/beego/v2/client/orm"
  6. "github.com/shopspring/decimal"
  7. "hongze/hongze_edb_lib/utils"
  8. "sort"
  9. "strings"
  10. "time"
  11. )
  12. // EdbDataPredictCalculateLjztbpj 累计值同比拼接数据结构体
  13. type EdbDataPredictCalculateLjztbpj struct {
  14. EdbDataId int `orm:"column(edb_data_id);pk"`
  15. EdbInfoId int
  16. EdbCode string
  17. DataTime string
  18. Value float64
  19. Status int
  20. CreateTime time.Time
  21. ModifyTime time.Time
  22. DataTimestamp int64
  23. }
  24. // SavePredictCalculateLjztbpj 新增累计值同比拼接数据
  25. func SavePredictCalculateLjztbpj(req *EdbInfoCalculateBatchSaveReq, firstEdbInfo, secondEdbInfo *EdbInfo, edbCode, uniqueCode string, sysUserId int, sysUserRealName string) (edbInfo *EdbInfo, latestDateStr string, latestValue float64, err error) {
  26. o := orm.NewOrm()
  27. to, err := o.Begin()
  28. if err != nil {
  29. return
  30. }
  31. defer func() {
  32. if err != nil {
  33. fmt.Println("SavePredictCalculateLjztbpj,Err:" + err.Error())
  34. _ = to.Rollback()
  35. } else {
  36. _ = to.Commit()
  37. }
  38. }()
  39. //最近开始的时间
  40. var lastDateTime time.Time
  41. var existItemA, existItemB *EdbInfoCalculateMapping
  42. //获取待拼接指标
  43. {
  44. /*var condition string
  45. var pars []interface{}
  46. //获取待拼接指标最近的个12月31日有值的年份
  47. condition += " AND data_time like ? AND edb_info_id=? "
  48. pars = append(pars, "%12-31", firstEdbInfo.EdbInfoId)
  49. lastEdbData, tmpErr := GetLastEdbData(condition, pars, firstEdbInfo.Source)
  50. if tmpErr != nil {
  51. err = tmpErr
  52. return
  53. }*/
  54. var firstDataList []*EdbInfoSearchData
  55. var lastEdbData *EdbInfoSearchData
  56. firstDataList, err = GetPredictEdbDataListAllByStartDate(firstEdbInfo, 0, "")
  57. if err != nil {
  58. return
  59. }
  60. for _, v := range firstDataList {
  61. if strings.Contains(v.DataTime, "-12-31") {
  62. lastEdbData = v
  63. }
  64. }
  65. if lastEdbData == nil {
  66. err = errors.New("找不到最近的12月31号")
  67. return
  68. }
  69. lastDateTime, _ = time.ParseInLocation(utils.FormatDate, lastEdbData.DataTime, time.Local)
  70. }
  71. if req.EdbInfoId <= 0 {
  72. edbInfo = &EdbInfo{
  73. EdbInfoType: 1,
  74. SourceName: "预测累计值同比拼接",
  75. Source: utils.DATA_SOURCE_PREDICT_CALCULATE_LJZTBPJ,
  76. EdbCode: edbCode,
  77. EdbName: req.EdbName,
  78. EdbNameSource: req.EdbName,
  79. Frequency: req.Frequency,
  80. Unit: req.Unit,
  81. StartDate: firstEdbInfo.StartDate,
  82. EndDate: firstEdbInfo.EndDate,
  83. ClassifyId: req.ClassifyId,
  84. SysUserId: sysUserId,
  85. SysUserRealName: sysUserRealName,
  86. UniqueCode: uniqueCode,
  87. CreateTime: time.Now(),
  88. ModifyTime: time.Now(),
  89. CalculateFormula: lastDateTime.Format(utils.FormatDate),
  90. EdbType: 2,
  91. }
  92. newEdbInfoId, tmpErr := to.Insert(edbInfo)
  93. if tmpErr != nil {
  94. err = tmpErr
  95. return
  96. }
  97. edbInfo.EdbInfoId = int(newEdbInfoId)
  98. //关联关系
  99. {
  100. existItemA = &EdbInfoCalculateMapping{
  101. EdbInfoCalculateMappingId: 0,
  102. EdbInfoId: edbInfo.EdbInfoId,
  103. Source: edbInfo.Source,
  104. SourceName: edbInfo.SourceName,
  105. EdbCode: edbInfo.EdbCode,
  106. FromEdbInfoId: firstEdbInfo.EdbInfoId,
  107. FromEdbCode: firstEdbInfo.EdbCode,
  108. FromEdbName: firstEdbInfo.EdbName,
  109. FromSource: firstEdbInfo.Source,
  110. FromSourceName: firstEdbInfo.SourceName,
  111. FromTag: "A",
  112. Sort: 1,
  113. CreateTime: time.Now(),
  114. ModifyTime: time.Now(),
  115. }
  116. insertId, tmpErr := to.Insert(existItemA)
  117. if tmpErr != nil {
  118. err = tmpErr
  119. return
  120. }
  121. existItemA.EdbInfoCalculateMappingId = int(insertId)
  122. }
  123. //同比值指标
  124. {
  125. existItemB = &EdbInfoCalculateMapping{
  126. EdbInfoCalculateMappingId: 0,
  127. EdbInfoId: edbInfo.EdbInfoId,
  128. Source: edbInfo.Source,
  129. SourceName: edbInfo.SourceName,
  130. EdbCode: edbInfo.EdbCode,
  131. FromEdbInfoId: secondEdbInfo.EdbInfoId,
  132. FromEdbCode: secondEdbInfo.EdbCode,
  133. FromEdbName: secondEdbInfo.EdbName,
  134. FromSource: secondEdbInfo.Source,
  135. FromSourceName: secondEdbInfo.SourceName,
  136. FromTag: "B",
  137. Sort: 1,
  138. CreateTime: time.Now(),
  139. ModifyTime: time.Now(),
  140. }
  141. insertId, tmpErr := to.Insert(existItemB)
  142. if tmpErr != nil {
  143. err = tmpErr
  144. return
  145. }
  146. existItemB.EdbInfoCalculateMappingId = int(insertId)
  147. }
  148. } else {
  149. edbInfo, err = GetEdbInfoById(req.EdbInfoId)
  150. if err != nil {
  151. return
  152. }
  153. nowEdbInfo := *edbInfo // 现在的指标信息
  154. sql := ``
  155. //修改指标信息
  156. edbInfo.EdbNameSource = req.EdbName
  157. edbInfo.Frequency = req.Frequency
  158. edbInfo.Unit = req.Unit
  159. edbInfo.ClassifyId = req.ClassifyId
  160. edbInfo.CalculateFormula = lastDateTime.Format(utils.FormatDate)
  161. edbInfo.ModifyTime = time.Now()
  162. _, err = to.Update(edbInfo, "EdbName", "EdbNameSource", "Frequency", "Unit", "ClassifyId", "CalculateFormula", "ModifyTime")
  163. if err != nil {
  164. return
  165. }
  166. //查询出所有的关联指标
  167. var existCondition string
  168. var existPars []interface{}
  169. existCondition += " AND edb_info_id=? "
  170. existPars = append(existPars, edbInfo.EdbInfoId)
  171. var existList []*EdbInfoCalculateMapping
  172. existList, err = GetEdbInfoCalculateListByCondition(existCondition, existPars)
  173. if err != nil {
  174. err = errors.New("判断指标是否改变失败,Err:" + err.Error())
  175. return
  176. }
  177. for _, existItem := range existList {
  178. if existItem.FromTag == "A" {
  179. existItemA = existItem
  180. } else if existItem.FromTag == "B" {
  181. existItemB = existItem
  182. }
  183. }
  184. if existItemA == nil {
  185. err = errors.New("原待拼接指标不存在")
  186. return
  187. }
  188. if existItemB == nil {
  189. err = errors.New("原同比值指标不存在")
  190. return
  191. }
  192. // 是否需要删除数据重新计算
  193. isNeedCalculateData := false
  194. // 如果截止日期变更,那么需要重新计算
  195. if lastDateTime.Format(utils.FormatDate) != nowEdbInfo.CalculateFormula {
  196. isNeedCalculateData = true
  197. }
  198. //待拼接指标数据
  199. //如果拼接指标变更了,那么需要删除所有的指标进行重新拼接
  200. if existItemA.FromEdbInfoId != firstEdbInfo.EdbInfoId {
  201. //删除之前的A指标关联关系
  202. sql := ` DELETE FROM edb_info_calculate_mapping WHERE edb_info_id = ? and from_edb_info_id = ?`
  203. _, err = to.Raw(sql, edbInfo.EdbInfoId, existItemA.FromEdbInfoId).Exec()
  204. if err != nil {
  205. err = errors.New("删除拼接日期之前的指标关联关系失败,Err:" + err.Error())
  206. return
  207. }
  208. //添加新的指标关系
  209. {
  210. existItemA = &EdbInfoCalculateMapping{
  211. EdbInfoCalculateMappingId: 0,
  212. EdbInfoId: edbInfo.EdbInfoId,
  213. Source: edbInfo.Source,
  214. SourceName: edbInfo.SourceName,
  215. EdbCode: edbInfo.EdbCode,
  216. FromEdbInfoId: firstEdbInfo.EdbInfoId,
  217. FromEdbCode: firstEdbInfo.EdbCode,
  218. FromEdbName: firstEdbInfo.EdbName,
  219. FromSource: firstEdbInfo.Source,
  220. FromSourceName: firstEdbInfo.SourceName,
  221. FromTag: "A",
  222. Sort: 1,
  223. CreateTime: time.Now(),
  224. ModifyTime: time.Now(),
  225. }
  226. insertId, tmpErr := to.Insert(existItemA)
  227. if tmpErr != nil {
  228. err = tmpErr
  229. return
  230. }
  231. existItemA.EdbInfoCalculateMappingId = int(insertId)
  232. isNeedCalculateData = true
  233. }
  234. }
  235. //同比值指标
  236. if existItemB.FromEdbInfoId != secondEdbInfo.EdbInfoId {
  237. //删除之前的B指标关联关系
  238. sql = ` DELETE FROM edb_info_calculate_mapping WHERE edb_info_id = ? and from_edb_info_id = ?`
  239. _, err = to.Raw(sql, edbInfo.EdbInfoId, existItemB.FromEdbInfoId).Exec()
  240. if err != nil {
  241. err = errors.New("删除拼接日期之后的指标关联关系失败,Err:" + err.Error())
  242. return
  243. }
  244. //添加新的指标关系
  245. {
  246. existItemB = &EdbInfoCalculateMapping{
  247. EdbInfoCalculateMappingId: 0,
  248. EdbInfoId: edbInfo.EdbInfoId,
  249. Source: edbInfo.Source,
  250. SourceName: edbInfo.SourceName,
  251. EdbCode: edbInfo.EdbCode,
  252. FromEdbInfoId: secondEdbInfo.EdbInfoId,
  253. FromEdbCode: secondEdbInfo.EdbCode,
  254. FromEdbName: secondEdbInfo.EdbName,
  255. FromSource: secondEdbInfo.Source,
  256. FromSourceName: secondEdbInfo.SourceName,
  257. FromTag: "B",
  258. Sort: 2,
  259. CreateTime: time.Now(),
  260. ModifyTime: time.Now(),
  261. }
  262. insertId, tmpErr := to.Insert(existItemB)
  263. if tmpErr != nil {
  264. err = tmpErr
  265. return
  266. }
  267. existItemB.EdbInfoCalculateMappingId = int(insertId)
  268. isNeedCalculateData = true
  269. }
  270. }
  271. // 如果需要重新计算,那么先删除所有的指标数据,然后再重新计算
  272. if isNeedCalculateData {
  273. // 删除之前所有的指标数据
  274. tableName := GetEdbDataTableName(edbInfo.Source)
  275. sql = fmt.Sprintf(` DELETE FROM %s WHERE edb_info_id = ? `, tableName)
  276. _, err = to.Raw(sql, edbInfo.EdbInfoId).Exec()
  277. if err != nil {
  278. err = errors.New("删除所有的累计值同比拼接指标数据失败,Err:" + err.Error())
  279. return
  280. }
  281. }else{
  282. return
  283. }
  284. }
  285. // 添加数据
  286. latestDateStr, latestValue, err = refreshAllPredictCalculateLjztbpj(to, edbInfo, firstEdbInfo, existItemB)
  287. return
  288. }
  289. // RefreshAllPredictCalculateLjztbpj 刷新所有 累计值同比拼接 数据
  290. func RefreshAllPredictCalculateLjztbpj(edbInfo *EdbInfo) (latestDateStr string, latestValue float64, err error) {
  291. o := orm.NewOrm()
  292. to, err := o.Begin()
  293. if err != nil {
  294. return
  295. }
  296. defer func() {
  297. if err != nil {
  298. fmt.Println("RefreshAllCalculateLjztbpj,Err:" + err.Error())
  299. _ = to.Rollback()
  300. } else {
  301. _ = to.Commit()
  302. }
  303. }()
  304. //查询关联指标信息
  305. var existCondition string
  306. var existPars []interface{}
  307. existCondition += " AND edb_info_id=? "
  308. existPars = append(existPars, edbInfo.EdbInfoId)
  309. existList, err := GetEdbInfoCalculateListByCondition(existCondition, existPars)
  310. if err != nil {
  311. err = errors.New("判断指标是否改变失败,Err:" + err.Error())
  312. return
  313. }
  314. var existItemA, existItemB *EdbInfoCalculateMapping
  315. for _, existItem := range existList {
  316. if existItem.FromTag == "A" {
  317. existItemA = existItem
  318. } else if existItem.FromTag == "B" {
  319. existItemB = existItem
  320. }
  321. }
  322. if existItemA == nil {
  323. err = errors.New("原待拼接指标不存在")
  324. return
  325. }
  326. if existItemB == nil {
  327. err = errors.New("原同比值指标不存在")
  328. return
  329. }
  330. fromEdbInfo, err := GetEdbInfoById(existItemA.FromEdbInfoId)
  331. if err != nil {
  332. err = fmt.Errorf("GetEdbInfoById Err:" + err.Error())
  333. return
  334. }
  335. // 刷新数据
  336. latestDateStr, latestValue, err = refreshAllPredictCalculateLjztbpj(to, edbInfo, fromEdbInfo, existItemB)
  337. return
  338. }
  339. // refreshAllPredictCalculateLjztbpj 刷新所有 累计值同比拼接 数据
  340. func refreshAllPredictCalculateLjztbpj(to orm.TxOrmer, edbInfo, firstEdbInfo *EdbInfo, existItemB *EdbInfoCalculateMapping) (latestDateStr string, latestValue float64, err error) {
  341. //根据指标id获取全部的数据
  342. var dataList []*EdbDataPredictCalculateLjztbpj
  343. sql := ` SELECT * FROM edb_data_predict_calculate_ljztbpj WHERE edb_info_id=? ORDER BY data_time DESC `
  344. _, err = to.Raw(sql, edbInfo.EdbInfoId).QueryRows(&dataList)
  345. if err != nil {
  346. return
  347. }
  348. //待拼接指标map
  349. pjDataMap := make(map[string]float64) //需要入库的数据
  350. nowEdbDataMap := make(map[string]float64) //当前指标的数据(已经在库里了,不需要重新)
  351. //拼接指标的日期切片数据
  352. pjEdbDataTimeList := make([]string, 0)
  353. dataMap := make(map[string]*EdbDataPredictCalculateLjztbpj)
  354. for _, v := range dataList {
  355. pjEdbDataTimeList = append(pjEdbDataTimeList, v.DataTime)
  356. dataMap[v.DataTime] = v
  357. nowEdbDataMap[v.DataTime] = v.Value
  358. }
  359. // 原数据开始计算日期
  360. startCalculationDate, _ := time.ParseInLocation(utils.FormatDate, edbInfo.CalculateFormula, time.Local)
  361. //待拼接指标
  362. {
  363. /*var condition string
  364. var pars []interface{}
  365. condition += " AND data_time <= ? AND edb_info_id=? "
  366. pars = append(pars, startCalculationDate, existItemA.FromEdbInfoId)
  367. //第一个指标的数据列表
  368. firstDataList, tmpErr := GetEdbDataListAllByTo(to, condition, pars, existItemA.FromSource, 0)
  369. if tmpErr != nil {
  370. err = tmpErr
  371. return
  372. }*/
  373. var firstDataList []*EdbInfoSearchData
  374. firstDataList, err = GetPredictEdbDataListAllByStartDate(firstEdbInfo, 0, "")
  375. if err != nil {
  376. return
  377. }
  378. latestDateStr = firstEdbInfo.LatestDate
  379. for _, v := range firstDataList {
  380. if v.DataTime > startCalculationDate.Format(utils.FormatDate) {
  381. continue
  382. }
  383. //时间戳
  384. if edbData, ok := dataMap[v.DataTime]; ok {
  385. if edbData.Value != v.Value {
  386. //更新指标数据
  387. edbData.Value = v.Value
  388. _, _ = to.Update(edbData, "Value")
  389. }
  390. } else {
  391. pjDataMap[v.DataTime] = v.Value
  392. pjEdbDataTimeList = append(pjEdbDataTimeList, v.DataTime)
  393. }
  394. //将新的数据存入已入库指标map里面,以便后续计算
  395. nowEdbDataMap[v.DataTime] = v.Value
  396. }
  397. }
  398. //同比值指标map
  399. tbzEdbDataMap := make(map[string]float64)
  400. //同比值日期切片列表
  401. tbzEdbDataTimeList := make([]string, 0)
  402. //同比值指标
  403. {
  404. var condition string
  405. pars := make([]interface{}, 0)
  406. condition += " AND data_time > ? AND edb_info_id = ? "
  407. pars = append(pars, startCalculationDate, existItemB.FromEdbInfoId)
  408. //第二个指标的数据列表
  409. secondDataList, tmpErr := GetEdbDataListAllByTo(to, condition, pars, existItemB.FromSource, 0)
  410. if tmpErr != nil {
  411. err = tmpErr
  412. return
  413. }
  414. for _, v := range secondDataList {
  415. tbzEdbDataMap[v.DataTime] = v.Value
  416. tbzEdbDataTimeList = append(tbzEdbDataTimeList, v.DataTime)
  417. }
  418. }
  419. sort.Strings(tbzEdbDataTimeList)
  420. // 遍历现有的数据,判断拼接指标中是否存在该日期数据,如果拼接指标无此数据,那么需要删除该日期数据(日期的判断:需要在开始计算日期之后)
  421. removeDateList := make([]string, 0)
  422. for nowEdbDate := range nowEdbDataMap {
  423. nowEdbDateTime, _ := time.ParseInLocation(utils.FormatDate, nowEdbDate, time.Local)
  424. //校验日期 需要 大于 拼接前日期
  425. if startCalculationDate.Before(nowEdbDateTime) {
  426. if _, ok := tbzEdbDataMap[nowEdbDate]; !ok {
  427. // 同比指标中,不存在该日期数据,那么需要移除 现有数据 中该日期的数据
  428. removeDateList = append(removeDateList, nowEdbDate)
  429. }
  430. }
  431. }
  432. //待修改的指标数据map(index:日期,value:值)
  433. updateEdbDataMap := make(map[string]float64)
  434. for _, v := range tbzEdbDataTimeList {
  435. tbzDataTime, _ := time.ParseInLocation(utils.FormatDate, v, time.Local)
  436. //获取拼接指标上一年同一天的数据
  437. var pjDataTime time.Time
  438. if tbzDataTime.Month() == 2 {
  439. pjDataTime = tbzDataTime.AddDate(0, -11, 0)
  440. pjDataTime = time.Date(pjDataTime.Year(), pjDataTime.Month(), 1, 0, 0, 0, 0, time.Now().Location()).AddDate(0, 0, -1)
  441. } else {
  442. pjDataTime = tbzDataTime.AddDate(-1, 0, 0)
  443. }
  444. //校验现有数据中,是否存在该日期的数据,如果存在的话,那么就要去校验 最新计算数据 与 现有数据 是否一致
  445. if nowEdbDataValue, isHas := nowEdbDataMap[v]; isHas {
  446. //获取去年今日的数据,获取到后,然后是去修改该日期的数据
  447. if lastYearEdbDataValue, ok := nowEdbDataMap[pjDataTime.Format(utils.FormatDate)]; ok {
  448. if v == "2021-08-31" {
  449. fmt.Println("进来了")
  450. }
  451. tbzDataValue := tbzEdbDataMap[v] //同比值
  452. currValue := lastYearEdbDataValue * (1 + tbzDataValue/100)
  453. currValue, _ = decimal.NewFromFloat(currValue).Truncate(4).Float64() //保留4位小数
  454. //如果计算出来的值与库里面的值不匹配,那么就去修改该值
  455. if nowEdbDataValue != currValue {
  456. //将计算后的数据存入待拼接指标map里面,以便后续计算
  457. updateEdbDataMap[v] = currValue
  458. }
  459. }
  460. } else {
  461. //因为 现有数据中 不存在该日期数据,那么需要做新增数据处理
  462. //如果去年今日存在该数据,那么就去计算当前的数据
  463. if pjDataValue, ok := nowEdbDataMap[pjDataTime.Format(utils.FormatDate)]; ok {
  464. tbzDataValue := tbzEdbDataMap[v] //同比值
  465. currValue := pjDataValue * (1 + tbzDataValue/100)
  466. currValue, _ = decimal.NewFromFloat(currValue).Truncate(4).Float64()
  467. //将计算后的数据存入已入库指标map里面,以便后续计算
  468. nowEdbDataMap[v] = currValue
  469. //将计算后的数据存入待拼接指标map里面,以便后续入库
  470. pjDataMap[v] = currValue
  471. pjEdbDataTimeList = append(pjEdbDataTimeList, v)
  472. }
  473. }
  474. }
  475. //新增的数据入库
  476. {
  477. addDataList := make([]*EdbDataPredictCalculateLjztbpj, 0)
  478. //日期排序下
  479. sort.Strings(pjEdbDataTimeList)
  480. //这么做的目的是为了让数据插入的时候,可以正序插入(业务上没啥卵用,就是为了让我看数据的时候舒服点,手动狗头-_-|)
  481. for _, dataTime := range pjEdbDataTimeList {
  482. if dataValue, ok := pjDataMap[dataTime]; ok {
  483. //时间戳
  484. currentDate, _ := time.Parse(utils.FormatDate, dataTime)
  485. timestamp := currentDate.UnixNano() / 1e6
  486. edbDataLjztbpj := &EdbDataPredictCalculateLjztbpj{
  487. EdbInfoId: edbInfo.EdbInfoId,
  488. EdbCode: edbInfo.EdbCode,
  489. DataTime: dataTime,
  490. Value: dataValue,
  491. Status: 1,
  492. CreateTime: time.Now(),
  493. ModifyTime: time.Now(),
  494. DataTimestamp: timestamp,
  495. }
  496. addDataList = append(addDataList, edbDataLjztbpj)
  497. if firstEdbInfo.LatestDate == dataTime {
  498. latestValue = dataValue
  499. }
  500. }
  501. }
  502. //数据入库
  503. if len(addDataList) > 0 {
  504. _, tmpErr := to.InsertMulti(len(addDataList), addDataList)
  505. if tmpErr != nil {
  506. err = tmpErr
  507. return
  508. }
  509. }
  510. }
  511. //删除已经不存在的累计同比拼接指标数据(由于同比值当日的数据删除了)
  512. {
  513. if len(removeDateList) > 0 {
  514. removeDateStr := strings.Join(removeDateList, `","`)
  515. removeDateStr = `"` + removeDateStr + `"`
  516. //如果拼接指标变更了,那么需要删除所有的指标数据
  517. tableName := GetEdbDataTableName(edbInfo.Source)
  518. sql := fmt.Sprintf(` DELETE FROM %s WHERE edb_info_id = ? and data_time in (%s) `, tableName, removeDateStr)
  519. _, err = to.Raw(sql, edbInfo.EdbInfoId).Exec()
  520. if err != nil {
  521. err = errors.New("删除不存在的累计值同比拼接指标数据失败,Err:" + err.Error())
  522. return
  523. }
  524. }
  525. }
  526. //修改现有的数据中对应的值
  527. {
  528. tableName := GetEdbDataTableName(edbInfo.Source)
  529. for edbDate, edbDataValue := range updateEdbDataMap {
  530. sql := fmt.Sprintf(` UPDATE %s set value = ?,modify_time=now() WHERE edb_info_id = ? and data_time = ? `, tableName)
  531. _, err = to.Raw(sql, edbDataValue, edbInfo.EdbInfoId, edbDate).Exec()
  532. if err != nil {
  533. err = errors.New("更新现有的累计值同比拼接指标数据失败,Err:" + err.Error())
  534. return
  535. }
  536. if firstEdbInfo.LatestDate == edbDate {
  537. latestValue = edbDataValue
  538. }
  539. }
  540. }
  541. return
  542. }