edb_data_calculate_ljztbpj.go 21 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. "sort"
  9. "strings"
  10. "time"
  11. )
  12. // EdbDataCalculateLjztbpj 累计值同比拼接数据结构体
  13. type EdbDataCalculateLjztbpj 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. // AddCalculateLjztbpj 新增累计值同比拼接数据
  25. func AddCalculateLjztbpj(req *EdbInfoCalculateBatchSaveReq, firstEdbInfo, secondEdbInfo *EdbInfo, edbCode, uniqueCode string, sysUserId int, sysUserRealName string) (edbInfo *EdbInfo, 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("AddCalculateLjztbpj,Err:" + err.Error())
  34. _ = to.Rollback()
  35. } else {
  36. _ = to.Commit()
  37. }
  38. }()
  39. //待拼接指标map
  40. pjDataMap := make(map[string]float64)
  41. //拼接指标的日期切片数据
  42. pjEdbDataTimeList := make([]string, 0)
  43. //最近开始的时间
  44. var lastDateTime time.Time
  45. //获取待拼接指标
  46. {
  47. var condition string
  48. var pars []interface{}
  49. //获取待拼接指标最近的个12月31日有值的年份
  50. condition += " AND data_time like ? AND edb_info_id=? "
  51. pars = append(pars, "%12-31", firstEdbInfo.EdbInfoId)
  52. lastEdbData, tmpErr := GetLastEdbData(condition, pars, firstEdbInfo.Source, firstEdbInfo.SubSource)
  53. if tmpErr != nil {
  54. err = tmpErr
  55. return
  56. }
  57. lastDateTime, _ = time.ParseInLocation(utils.FormatDate, lastEdbData.DataTime, time.Local)
  58. //获取待拼接指标的数据列表
  59. firstDataList, tmpErr := GetEdbDataListAllByTo(to, firstEdbInfo.Source, firstEdbInfo.SubSource, FindEdbDataListAllCond{
  60. EdbInfoId: firstEdbInfo.EdbInfoId,
  61. EndDataTime: lastEdbData.DataTime,
  62. EndDataTimeCond: "<=",
  63. }, 0)
  64. if tmpErr != nil {
  65. err = tmpErr
  66. return
  67. }
  68. for _, v := range firstDataList {
  69. pjDataMap[v.DataTime] = v.Value
  70. pjEdbDataTimeList = append(pjEdbDataTimeList, v.DataTime)
  71. }
  72. }
  73. if req.EdbInfoId <= 0 {
  74. edbInfo = &EdbInfo{
  75. SourceName: "累计值同比拼接",
  76. Source: utils.DATA_SOURCE_CALCULATE_LJZTBPJ,
  77. EdbCode: edbCode,
  78. EdbName: req.EdbName,
  79. EdbNameSource: req.EdbName,
  80. Frequency: req.Frequency,
  81. Unit: req.Unit,
  82. StartDate: firstEdbInfo.StartDate,
  83. EndDate: firstEdbInfo.EndDate,
  84. ClassifyId: req.ClassifyId,
  85. SysUserId: sysUserId,
  86. SysUserRealName: sysUserRealName,
  87. UniqueCode: uniqueCode,
  88. CreateTime: time.Now(),
  89. ModifyTime: time.Now(),
  90. CalculateFormula: lastDateTime.Format(utils.FormatDate),
  91. EdbNameEn: req.EdbName,
  92. UnitEn: req.Unit,
  93. EdbType: 2,
  94. }
  95. newEdbInfoId, tmpErr := to.Insert(edbInfo)
  96. if tmpErr != nil {
  97. err = tmpErr
  98. return
  99. }
  100. edbInfo.EdbInfoId = int(newEdbInfoId)
  101. } else {
  102. edbInfo, err = GetEdbInfoById(req.EdbInfoId)
  103. if err != nil {
  104. return
  105. }
  106. //查询
  107. tmpEdbInfo, tmpErr := GetEdbInfoById(edbInfo.EdbInfoId)
  108. if tmpErr != nil {
  109. err = tmpErr
  110. return
  111. }
  112. tmpEdbInfo.EdbName = req.EdbName
  113. tmpEdbInfo.ClassifyId = req.ClassifyId
  114. tmpEdbInfo.Frequency = req.Frequency
  115. tmpEdbInfo.Unit = req.Unit
  116. tmpEdbInfo.CalculateFormula = req.Formula
  117. edbInfo = tmpEdbInfo
  118. //删除指标数据
  119. dataTableName := GetEdbDataTableName(utils.DATA_SOURCE_CALCULATE_LJZTBPJ, utils.DATA_SUB_SOURCE_EDB)
  120. fmt.Println("dataTableName:" + dataTableName)
  121. deleteSql := ` DELETE FROM %s WHERE edb_info_id=? `
  122. deleteSql = fmt.Sprintf(deleteSql, dataTableName)
  123. _, err = to.Raw(deleteSql, req.EdbInfoId).Exec()
  124. if err != nil {
  125. return
  126. }
  127. //删除指标关系
  128. sql := ` DELETE FROM edb_info_calculate_mapping WHERE edb_info_id=? `
  129. _, err = to.Raw(sql, edbInfo.EdbInfoId).Exec()
  130. }
  131. //关联关系
  132. var existItemA, existItemB *EdbInfoCalculateMapping
  133. //拼接指标
  134. {
  135. existItemA = &EdbInfoCalculateMapping{
  136. EdbInfoCalculateMappingId: 0,
  137. EdbInfoId: edbInfo.EdbInfoId,
  138. Source: edbInfo.Source,
  139. SourceName: edbInfo.SourceName,
  140. EdbCode: edbInfo.EdbCode,
  141. FromEdbInfoId: firstEdbInfo.EdbInfoId,
  142. FromEdbCode: firstEdbInfo.EdbCode,
  143. FromEdbName: firstEdbInfo.EdbName,
  144. FromSource: firstEdbInfo.Source,
  145. FromSourceName: firstEdbInfo.SourceName,
  146. FromTag: "A",
  147. Sort: 1,
  148. CreateTime: time.Now(),
  149. ModifyTime: time.Now(),
  150. FromSubSource: firstEdbInfo.SubSource,
  151. }
  152. insertId, tmpErr := to.Insert(existItemA)
  153. if tmpErr != nil {
  154. err = tmpErr
  155. return
  156. }
  157. existItemA.EdbInfoCalculateMappingId = int(insertId)
  158. }
  159. //同比值指标
  160. {
  161. existItemB = &EdbInfoCalculateMapping{
  162. EdbInfoCalculateMappingId: 0,
  163. EdbInfoId: edbInfo.EdbInfoId,
  164. Source: edbInfo.Source,
  165. SourceName: edbInfo.SourceName,
  166. EdbCode: edbInfo.EdbCode,
  167. FromEdbInfoId: secondEdbInfo.EdbInfoId,
  168. FromEdbCode: secondEdbInfo.EdbCode,
  169. FromEdbName: secondEdbInfo.EdbName,
  170. FromSource: secondEdbInfo.Source,
  171. FromSourceName: secondEdbInfo.SourceName,
  172. FromTag: "B",
  173. Sort: 1,
  174. CreateTime: time.Now(),
  175. ModifyTime: time.Now(),
  176. FromSubSource: secondEdbInfo.SubSource,
  177. }
  178. insertId, tmpErr := to.Insert(existItemB)
  179. if tmpErr != nil {
  180. err = tmpErr
  181. return
  182. }
  183. existItemB.EdbInfoCalculateMappingId = int(insertId)
  184. }
  185. // 添加数据
  186. err = refreshAllCalculateLjztbpj(to, edbInfo, existItemA, existItemB)
  187. return
  188. }
  189. // EditCalculateLjztbpj 编辑累计值同比拼接数据
  190. func EditCalculateLjztbpj(req *EdbInfoCalculateBatchEditReq, edbInfo, firstEdbInfo, secondEdbInfo *EdbInfo) (err error) {
  191. o := orm.NewOrm()
  192. to, err := o.Begin()
  193. if err != nil {
  194. return
  195. }
  196. defer func() {
  197. if err != nil {
  198. fmt.Println("EditCalculateLjztbpj,Err:" + err.Error())
  199. _ = to.Rollback()
  200. } else {
  201. _ = to.Commit()
  202. }
  203. }()
  204. nowEdbInfo := *edbInfo // 现在的指标信息
  205. sql := ``
  206. //修改指标信息
  207. edbInfo.EdbNameSource = req.EdbName
  208. edbInfo.Frequency = req.Frequency
  209. edbInfo.Unit = req.Unit
  210. edbInfo.ClassifyId = req.ClassifyId
  211. //edbInfo.CalculateFormula = req.Formula
  212. edbInfo.EdbNameEn = req.EdbNameEn
  213. edbInfo.UnitEn = req.UnitEn
  214. edbInfo.ModifyTime = time.Now()
  215. _, err = to.Update(edbInfo, "EdbName", "EdbNameSource", "Frequency", "Unit", "ClassifyId", "ModifyTime", "EdbNameEn", "UnitEn")
  216. if err != nil {
  217. return
  218. }
  219. //查询出所有的关联指标
  220. var existCondition string
  221. var existPars []interface{}
  222. existCondition += " AND edb_info_id=? "
  223. existPars = append(existPars, edbInfo.EdbInfoId)
  224. existList, err := GetEdbInfoCalculateListByCondition(existCondition, existPars)
  225. if err != nil {
  226. err = errors.New("判断指标是否改变失败,Err:" + err.Error())
  227. return
  228. }
  229. var existItemA, existItemB *EdbInfoCalculateMapping
  230. for _, existItem := range existList {
  231. if existItem.FromTag == "A" {
  232. existItemA = existItem
  233. } else if existItem.FromTag == "B" {
  234. existItemB = existItem
  235. }
  236. }
  237. // 是否需要删除数据重新计算
  238. isNeedCalculateData := false
  239. // 如果截止日期变更,那么需要重新计算
  240. if req.Formula != nowEdbInfo.CalculateFormula {
  241. isNeedCalculateData = true
  242. }
  243. //待拼接指标数据
  244. //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
  245. if existItemA.FromEdbInfoId != firstEdbInfo.EdbInfoId {
  246. //删除之前的A指标关联关系
  247. sql := ` DELETE FROM edb_info_calculate_mapping WHERE edb_info_id = ? and from_edb_info_id = ?`
  248. _, err = to.Raw(sql, edbInfo.EdbInfoId, existItemA.FromEdbInfoId).Exec()
  249. if err != nil {
  250. err = errors.New("删除拼接日期之前的指标关联关系失败,Err:" + err.Error())
  251. return
  252. }
  253. //添加新的指标关系
  254. {
  255. existItemA = &EdbInfoCalculateMapping{
  256. EdbInfoCalculateMappingId: 0,
  257. EdbInfoId: edbInfo.EdbInfoId,
  258. Source: edbInfo.Source,
  259. SourceName: edbInfo.SourceName,
  260. EdbCode: edbInfo.EdbCode,
  261. FromEdbInfoId: firstEdbInfo.EdbInfoId,
  262. FromEdbCode: firstEdbInfo.EdbCode,
  263. FromEdbName: firstEdbInfo.EdbName,
  264. FromSource: firstEdbInfo.Source,
  265. FromSourceName: firstEdbInfo.SourceName,
  266. FromTag: "A",
  267. Sort: 1,
  268. CreateTime: time.Now(),
  269. ModifyTime: time.Now(),
  270. FromSubSource: firstEdbInfo.SubSource,
  271. }
  272. insertId, tmpErr := to.Insert(existItemA)
  273. if tmpErr != nil {
  274. err = tmpErr
  275. return
  276. }
  277. existItemA.EdbInfoCalculateMappingId = int(insertId)
  278. isNeedCalculateData = true
  279. }
  280. }
  281. //同比值指标
  282. if existItemB.FromEdbInfoId != secondEdbInfo.EdbInfoId {
  283. //删除之前的B指标关联关系
  284. sql = ` DELETE FROM edb_info_calculate_mapping WHERE edb_info_id = ? and from_edb_info_id = ?`
  285. _, err = to.Raw(sql, edbInfo.EdbInfoId, existItemB.FromEdbInfoId).Exec()
  286. if err != nil {
  287. err = errors.New("删除拼接日期之后的指标关联关系失败,Err:" + err.Error())
  288. return
  289. }
  290. //添加新的指标关系
  291. {
  292. existItemB = &EdbInfoCalculateMapping{
  293. EdbInfoCalculateMappingId: 0,
  294. EdbInfoId: edbInfo.EdbInfoId,
  295. Source: edbInfo.Source,
  296. SourceName: edbInfo.SourceName,
  297. EdbCode: edbInfo.EdbCode,
  298. FromEdbInfoId: secondEdbInfo.EdbInfoId,
  299. FromEdbCode: secondEdbInfo.EdbCode,
  300. FromEdbName: secondEdbInfo.EdbName,
  301. FromSource: secondEdbInfo.Source,
  302. FromSourceName: secondEdbInfo.SourceName,
  303. FromTag: "B",
  304. Sort: 2,
  305. CreateTime: time.Now(),
  306. ModifyTime: time.Now(),
  307. FromSubSource: secondEdbInfo.SubSource,
  308. }
  309. insertId, tmpErr := to.Insert(existItemB)
  310. if tmpErr != nil {
  311. err = tmpErr
  312. return
  313. }
  314. existItemB.EdbInfoCalculateMappingId = int(insertId)
  315. isNeedCalculateData = true
  316. }
  317. }
  318. // 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
  319. if isNeedCalculateData {
  320. // 删除之前所有的指标数据
  321. tableName := GetEdbDataTableName(edbInfo.Source, edbInfo.SubSource)
  322. sql = fmt.Sprintf(` DELETE FROM %s WHERE edb_info_id = ? `, tableName)
  323. _, err = to.Raw(sql, edbInfo.EdbInfoId).Exec()
  324. if err != nil {
  325. err = errors.New("删除所有的累计值同比拼接指标数据失败,Err:" + err.Error())
  326. return
  327. }
  328. //获取待拼接指标最近一年的12月份日期
  329. {
  330. var condition string
  331. var pars []interface{}
  332. //获取待拼接指标最近的个12月31日有值的年份
  333. condition += " AND data_time like ? AND edb_info_id=? "
  334. pars = append(pars, "%12-31", firstEdbInfo.EdbInfoId)
  335. lastEdbData, tmpErr := GetLastEdbData(condition, pars, firstEdbInfo.Source, firstEdbInfo.SubSource)
  336. if tmpErr != nil {
  337. err = tmpErr
  338. return
  339. }
  340. lastDateTime, tmpErr := time.ParseInLocation(utils.FormatDate, lastEdbData.DataTime, time.Local)
  341. if tmpErr != nil {
  342. err = tmpErr
  343. return
  344. }
  345. edbInfo.CalculateFormula = lastDateTime.Format(utils.FormatDate)
  346. _, err = to.Update(edbInfo, "CalculateFormula")
  347. if err != nil {
  348. return
  349. }
  350. }
  351. // 重新计算
  352. err = refreshAllCalculateLjztbpj(to, edbInfo, existItemA, existItemB)
  353. }
  354. return
  355. }
  356. // GetAllEdbDataCalculateLjztbpjByEdbInfoId 根据指标id获取全部的数据
  357. func GetAllEdbDataCalculateLjztbpjByEdbInfoId(edbInfoId int) (items []*EdbDataCalculateLjztbpj, err error) {
  358. o := orm.NewOrm()
  359. sql := ` SELECT * FROM edb_data_calculate_ljztbpj WHERE edb_info_id=? ORDER BY data_time DESC `
  360. _, err = o.Raw(sql, edbInfoId).QueryRows(&items)
  361. return
  362. }
  363. // RefreshAllCalculateLjztbpj 刷新所有 累计值同比拼接 数据
  364. func RefreshAllCalculateLjztbpj(edbInfo *EdbInfo) (err error) {
  365. o := orm.NewOrm()
  366. to, err := o.Begin()
  367. if err != nil {
  368. return
  369. }
  370. defer func() {
  371. if err != nil {
  372. fmt.Println("RefreshAllCalculateLjztbpj,Err:" + err.Error())
  373. _ = to.Rollback()
  374. } else {
  375. _ = to.Commit()
  376. }
  377. }()
  378. //查询关联指标信息
  379. var existCondition string
  380. var existPars []interface{}
  381. existCondition += " AND edb_info_id=? "
  382. existPars = append(existPars, edbInfo.EdbInfoId)
  383. existList, err := GetEdbInfoCalculateListByCondition(existCondition, existPars)
  384. if err != nil {
  385. err = errors.New("判断指标是否改变失败,Err:" + err.Error())
  386. return
  387. }
  388. var existItemA, existItemB *EdbInfoCalculateMapping
  389. for _, existItem := range existList {
  390. if existItem.FromTag == "A" {
  391. existItemA = existItem
  392. } else if existItem.FromTag == "B" {
  393. existItemB = existItem
  394. }
  395. }
  396. // 刷新数据
  397. err = refreshAllCalculateLjztbpj(to, edbInfo, existItemA, existItemB)
  398. return
  399. }
  400. // refreshAllCalculateLjztbpj 刷新所有 累计值同比拼接 数据
  401. func refreshAllCalculateLjztbpj(to orm.TxOrmer, edbInfo *EdbInfo, existItemA, existItemB *EdbInfoCalculateMapping) (err error) {
  402. //查询当前指标现有的数据
  403. var condition string
  404. var pars []interface{}
  405. condition += " AND edb_info_id=? "
  406. pars = append(pars, edbInfo.EdbInfoId)
  407. //根据指标id获取全部的数据
  408. var dataList []*EdbDataCalculateLjztbpj
  409. sql := ` SELECT * FROM edb_data_calculate_ljztbpj WHERE edb_info_id=? ORDER BY data_time DESC `
  410. _, err = to.Raw(sql, edbInfo.EdbInfoId).QueryRows(&dataList)
  411. if err != nil {
  412. return err
  413. }
  414. //待拼接指标map
  415. pjDataMap := make(map[string]float64) //需要入库的数据
  416. nowEdbDataMap := make(map[string]float64) //当前指标的数据(已经在库里了,不需要重新)
  417. //拼接指标的日期切片数据
  418. pjEdbDataTimeList := make([]string, 0)
  419. dataMap := make(map[string]*EdbDataCalculateLjztbpj)
  420. for _, v := range dataList {
  421. pjEdbDataTimeList = append(pjEdbDataTimeList, v.DataTime)
  422. dataMap[v.DataTime] = v
  423. nowEdbDataMap[v.DataTime] = v.Value
  424. }
  425. // 原数据开始计算日期
  426. startCalculationDate, _ := time.ParseInLocation(utils.FormatDate, edbInfo.CalculateFormula, time.Local)
  427. //待拼接指标
  428. {
  429. //第一个指标的数据列表
  430. firstDataList, tmpErr := GetEdbDataListAllByTo(to, existItemA.FromSource, existItemA.FromSubSource, FindEdbDataListAllCond{
  431. EdbInfoId: existItemA.FromEdbInfoId,
  432. EndDataTime: startCalculationDate.Format(utils.FormatDate),
  433. EndDataTimeCond: "<=",
  434. }, 0)
  435. if tmpErr != nil {
  436. return tmpErr
  437. }
  438. for _, v := range firstDataList {
  439. //时间戳
  440. if edbData, ok := dataMap[v.DataTime]; ok {
  441. if edbData.Value != v.Value {
  442. //更新指标数据
  443. edbData.Value = v.Value
  444. _, _ = to.Update(edbData, "Value")
  445. }
  446. } else {
  447. pjDataMap[v.DataTime] = v.Value
  448. pjEdbDataTimeList = append(pjEdbDataTimeList, v.DataTime)
  449. }
  450. //将新的数据存入已入库指标map里面,以便后续计算
  451. nowEdbDataMap[v.DataTime] = v.Value
  452. }
  453. }
  454. //同比值指标map
  455. tbzEdbDataMap := make(map[string]float64)
  456. //同比值日期切片列表
  457. tbzEdbDataTimeList := make([]string, 0)
  458. //同比值指标
  459. {
  460. //第二个指标的数据列表
  461. secondDataList, tmpErr := GetEdbDataListAllByTo(to, existItemB.FromSource, existItemB.FromSubSource, FindEdbDataListAllCond{
  462. EdbInfoId: existItemB.FromEdbInfoId,
  463. StartDataTime: startCalculationDate.Format(utils.FormatDate),
  464. StartDataTimeCond: ">",
  465. }, 0)
  466. if tmpErr != nil {
  467. return tmpErr
  468. }
  469. for _, v := range secondDataList {
  470. tbzEdbDataMap[v.DataTime] = v.Value
  471. tbzEdbDataTimeList = append(tbzEdbDataTimeList, v.DataTime)
  472. }
  473. }
  474. sort.Strings(tbzEdbDataTimeList)
  475. // 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)
  476. removeDateList := make([]string, 0)
  477. for nowEdbDate := range nowEdbDataMap {
  478. nowEdbDateTime, _ := time.ParseInLocation(utils.FormatDate, nowEdbDate, time.Local)
  479. //校验日期 需要 大于 拼接前日期
  480. if startCalculationDate.Before(nowEdbDateTime) {
  481. if _, ok := tbzEdbDataMap[nowEdbDate]; !ok {
  482. // 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
  483. removeDateList = append(removeDateList, nowEdbDate)
  484. }
  485. }
  486. }
  487. //待修改的指标数据map(index:日期,value:值)
  488. updateEdbDataMap := make(map[string]float64)
  489. for _, v := range tbzEdbDataTimeList {
  490. tbzDataTime, _ := time.ParseInLocation(utils.FormatDate, v, time.Local)
  491. //获取拼接指标上一年同一天的数据
  492. var pjDataTime time.Time
  493. if tbzDataTime.Month() == 2 {
  494. pjDataTime = tbzDataTime.AddDate(0, -11, 0)
  495. pjDataTime = time.Date(pjDataTime.Year(), pjDataTime.Month(), 1, 0, 0, 0, 0, time.Now().Location()).AddDate(0, 0, -1)
  496. } else {
  497. pjDataTime = tbzDataTime.AddDate(-1, 0, 0)
  498. }
  499. //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
  500. if nowEdbDataValue, isHas := nowEdbDataMap[v]; isHas {
  501. //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
  502. if lastYearEdbDataValue, ok := nowEdbDataMap[pjDataTime.Format(utils.FormatDate)]; ok {
  503. if v == "2021-08-31" {
  504. fmt.Println("进来了")
  505. }
  506. tbzDataValue := tbzEdbDataMap[v] //同比值
  507. currValue := lastYearEdbDataValue * (1 + tbzDataValue/100)
  508. currValue, _ = decimal.NewFromFloat(currValue).Truncate(4).Float64() //保留4位小数
  509. //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
  510. if nowEdbDataValue != currValue {
  511. //将计算后的数据存入待拼接指标map里面,以便后续计算
  512. updateEdbDataMap[v] = currValue
  513. }
  514. }
  515. } else {
  516. //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
  517. //如果去年今日存在该数据,那么就去计算当前的数据
  518. if pjDataValue, ok := nowEdbDataMap[pjDataTime.Format(utils.FormatDate)]; ok {
  519. tbzDataValue := tbzEdbDataMap[v] //同比值
  520. currValue := pjDataValue * (1 + tbzDataValue/100)
  521. currValue, _ = decimal.NewFromFloat(currValue).Truncate(4).Float64()
  522. //将计算后的数据存入已入库指标map里面,以便后续计算
  523. nowEdbDataMap[v] = currValue
  524. //将计算后的数据存入待拼接指标map里面,以便后续入库
  525. pjDataMap[v] = currValue
  526. pjEdbDataTimeList = append(pjEdbDataTimeList, v)
  527. }
  528. }
  529. }
  530. //新增的数据入库
  531. {
  532. addDataList := make([]*EdbDataCalculateLjztbpj, 0)
  533. //日期排序下
  534. sort.Strings(pjEdbDataTimeList)
  535. //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-_-|)
  536. for _, dataTime := range pjEdbDataTimeList {
  537. if dataValue, ok := pjDataMap[dataTime]; ok {
  538. //时间戳
  539. currentDate, _ := time.ParseInLocation(utils.FormatDate, dataTime, time.Local)
  540. timestamp := currentDate.UnixNano() / 1e6
  541. edbDataLjztbpj := &EdbDataCalculateLjztbpj{
  542. EdbInfoId: edbInfo.EdbInfoId,
  543. EdbCode: edbInfo.EdbCode,
  544. DataTime: dataTime,
  545. Value: dataValue,
  546. Status: 1,
  547. CreateTime: time.Now(),
  548. ModifyTime: time.Now(),
  549. DataTimestamp: timestamp,
  550. }
  551. addDataList = append(addDataList, edbDataLjztbpj)
  552. }
  553. }
  554. //数据入库
  555. if len(addDataList) > 0 {
  556. _, tmpErr := to.InsertMulti(len(addDataList), addDataList)
  557. if tmpErr != nil {
  558. err = tmpErr
  559. return
  560. }
  561. }
  562. }
  563. //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)
  564. {
  565. if len(removeDateList) > 0 {
  566. removeDateStr := strings.Join(removeDateList, `","`)
  567. removeDateStr = `"` + removeDateStr + `"`
  568. //如果拼接指标变更了,那么需要删除所有的指标数据
  569. tableName := GetEdbDataTableName(edbInfo.Source, edbInfo.SubSource)
  570. sql := fmt.Sprintf(` DELETE FROM %s WHERE edb_info_id = ? and data_time in (%s) `, tableName, removeDateStr)
  571. _, err = to.Raw(sql, edbInfo.EdbInfoId).Exec()
  572. if err != nil {
  573. 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())
  574. return
  575. }
  576. }
  577. }
  578. //修改现有的数据中对应的值
  579. {
  580. tableName := GetEdbDataTableName(edbInfo.Source, edbInfo.SubSource)
  581. for edbDate, edbDataValue := range updateEdbDataMap {
  582. sql := fmt.Sprintf(` UPDATE %s set value = ?,modify_time=now() WHERE edb_info_id = ? and data_time = ? `, tableName)
  583. _, err = to.Raw(sql, edbDataValue, edbInfo.EdbInfoId, edbDate).Exec()
  584. if err != nil {
  585. err = errors.New("更新现有的累计值同比拼接指标数据失败,Err:" + err.Error())
  586. return
  587. }
  588. }
  589. }
  590. return
  591. }