edb_info.go 42 KB

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  1. package models
  2. import (
  3. "encoding/json"
  4. "errors"
  5. "eta/eta_index_lib/utils"
  6. "fmt"
  7. "github.com/beego/beego/v2/client/orm"
  8. "github.com/shopspring/decimal"
  9. "strconv"
  10. "time"
  11. )
  12. type EdbInfo struct {
  13. EdbInfoId int `orm:"column(edb_info_id);pk"`
  14. EdbInfoType int `description:"指标类型,0:普通指标,1:预测指标"`
  15. SourceName string `description:"来源名称"`
  16. Source int `description:"来源id"`
  17. EdbCode string `description:"指标编码"`
  18. EdbName string `description:"指标名称"`
  19. EdbNameEn string `description:"英文指标名称"`
  20. EdbNameSource string `description:"指标名称来源"`
  21. Frequency string `description:"频率"`
  22. Unit string `description:"单位"`
  23. UnitEn string `description:"英文单位"`
  24. StartDate string `description:"起始日期"`
  25. EndDate string `description:"终止日期"`
  26. ClassifyId int `description:"分类id"`
  27. SysUserId int
  28. SysUserRealName string
  29. UniqueCode string `description:"指标唯一编码"`
  30. CreateTime time.Time
  31. ModifyTime time.Time
  32. MinValue float64 `description:"指标最小值"`
  33. MaxValue float64 `description:"指标最大值"`
  34. CalculateFormula string `description:"计算公式"`
  35. EdbType int `description:"指标类型:1:基础指标,2:计算指标"`
  36. IsUpdate int `description:"当天是否已更新,1:未更新,2:已更新"`
  37. Sort int `description:"排序字段"`
  38. LatestDate string `description:"数据最新日期"`
  39. LatestValue float64 `description:"数据最新值"`
  40. MoveType int `description:"移动方式:1:领先(默认),2:滞后"`
  41. MoveFrequency string `description:"移动频度"`
  42. NoUpdate int8 `description:"是否停止更新,0:继续更新;1:停止更新"`
  43. ServerUrl string `description:"服务器地址"`
  44. ChartImage string `description:"图表图片"`
  45. Calendar string `description:"公历/农历" orm:"default(公历);"`
  46. DataDateType string `orm:"column(data_date_type);size(255);null;default(交易日)"`
  47. ManualSave int `description:"是否有手动保存过上下限: 0-否; 1-是"`
  48. }
  49. func (e *EdbInfo) Add() (err error) {
  50. o := orm.NewOrm()
  51. _, err = o.Insert(e)
  52. return
  53. }
  54. // AddEdbInfo 添加指标
  55. func AddEdbInfo(item *EdbInfo) (lastId int64, err error) {
  56. o := orm.NewOrm()
  57. lastId, err = o.Insert(item)
  58. return
  59. }
  60. // EdbInfoList 指标数据列表
  61. type EdbInfoList struct {
  62. EdbInfoId int `orm:"column(edb_info_id);pk"`
  63. EdbInfoType int `description:"指标类型,0:普通指标,1:预测指标"`
  64. SourceName string `description:"来源名称"`
  65. Source int `description:"来源id"`
  66. EdbCode string `description:"指标编码"`
  67. EdbNameEn string `description:"英文指标名称"`
  68. EdbName string `description:"指标名称"`
  69. Frequency string `description:"频率"`
  70. FrequencyEn string `description:"英文频率"`
  71. Unit string `description:"单位"`
  72. UnitEn string `description:"英文单位"`
  73. StartDate string `description:"起始日期"`
  74. EndDate string `description:"终止日期"`
  75. LatestDate string `description:"数据最新日期"`
  76. LatestValue float64 `description:"数据最新值"`
  77. ClassifyId int `description:"分类id"`
  78. UniqueCode string `description:"指标唯一编码"`
  79. SysUserId int `description:"创建人id"`
  80. SysUserRealName string `description:"创建人姓名"`
  81. ModifyTime string `description:"最新修改时间"`
  82. CreateTime string `description:"创建时间"`
  83. EdbNameAlias string `json:"-" description:"指标名称,别名"`
  84. EdbType int `description:"指标类型:1:基础指标,2:计算指标"`
  85. ChartImage string `description:"图表图片"`
  86. RuleType int `description:"预测规则,1:最新,2:固定值"`
  87. FixedValue float64 `description:"固定值"`
  88. DataList []*EdbData `description:"实际指标数据"`
  89. PredictDataList []*EdbData `description:"预测指标数据"`
  90. Button EdbClassifyItemsButton `description:"操作权限"`
  91. IsEnEdb bool `description:"是否展示英文标识"`
  92. }
  93. // EdbClassifyItemsButton 操作按钮
  94. type EdbClassifyItemsButton struct {
  95. AddButton bool `description:"是否可添加"`
  96. OpButton bool `description:"是否可编辑"`
  97. DeleteButton bool `description:"是否可删除"`
  98. MoveButton bool `description:"是否可移动"`
  99. ShowEdbRelation bool `description:"是否展示关联指标"`
  100. ShowChartRelation bool `description:"是否展示关联图表"`
  101. }
  102. // GetEdbInfoByName 根据指标名称获取所有的指标数据列表
  103. func GetEdbInfoByName(edbName string) (items []*EdbInfoList, err error) {
  104. o := orm.NewOrm()
  105. sql := ` SELECT * FROM edb_info WHERE edb_name=? `
  106. _, err = o.Raw(sql, edbName).QueryRows(&items)
  107. return
  108. }
  109. // ModifyEdbInfoNameSource 根据来源修改指标名称
  110. func ModifyEdbInfoNameSource(edbNameSource string, edbInfoId int) (err error) {
  111. o := orm.NewOrm()
  112. sql := ` UPDATE edb_info SET edb_name_source=? WHERE edb_info_id = ? `
  113. _, err = o.Raw(sql, edbNameSource, edbInfoId).Exec()
  114. return
  115. }
  116. // GetEdbInfoById 根据指标id获取指标信息
  117. func GetEdbInfoById(edbInfoId int) (item *EdbInfo, err error) {
  118. o := orm.NewOrm()
  119. sql := ` SELECT * FROM edb_info WHERE edb_info_id=? `
  120. err = o.Raw(sql, edbInfoId).QueryRow(&item)
  121. return
  122. }
  123. // GetEdbInfoByUniqueCode 根据指标唯一编码获取指标信息
  124. func GetEdbInfoByUniqueCode(uniqueCode string) (item *EdbInfo, err error) {
  125. o := orm.NewOrm()
  126. sql := ` SELECT * FROM edb_info WHERE unique_code=? `
  127. err = o.Raw(sql, uniqueCode).QueryRow(&item)
  128. return
  129. }
  130. // GetEdbInfoByIdList 根据指标id列表获取指标信息
  131. func GetEdbInfoByIdList(edbInfoIdList []int) (items []*EdbInfo, err error) {
  132. num := len(edbInfoIdList)
  133. if num <= 0 {
  134. return
  135. }
  136. o := orm.NewOrm()
  137. sql := ` SELECT * FROM edb_info WHERE edb_info_id in (` + utils.GetOrmInReplace(num) + `) `
  138. _, err = o.Raw(sql, edbInfoIdList).QueryRows(&items)
  139. return
  140. }
  141. // Update 更新EdbInfo信息
  142. func (edbInfo *EdbInfo) Update(cols []string) (err error) {
  143. o := orm.NewOrm()
  144. _, err = o.Update(edbInfo, cols...)
  145. return
  146. }
  147. // EdbInfoSearchData
  148. type EdbInfoSearchData struct {
  149. EdbDataId int `description:"数据ID"`
  150. DataTime string `description:"数据日期"`
  151. Value float64 `description:"数据"`
  152. EdbCode string `description:"指标编码"`
  153. }
  154. // GetEdbDataListAll 获取指标数据列表 order:1升序,其余值为降序
  155. func GetEdbDataListAll(condition string, pars []interface{}, source, order int) (item []*EdbInfoSearchData, err error) {
  156. o := orm.NewOrm()
  157. sql := ``
  158. tableName := GetEdbDataTableName(source)
  159. sql = ` SELECT * FROM %s WHERE 1=1 `
  160. sql = fmt.Sprintf(sql, tableName)
  161. if condition != "" {
  162. sql += condition
  163. }
  164. if order == 1 {
  165. sql += ` ORDER BY data_time ASC `
  166. } else {
  167. sql += ` ORDER BY data_time DESC `
  168. }
  169. _, err = o.Raw(sql, pars).QueryRows(&item)
  170. return
  171. }
  172. // GetEdbDataListAllByTo 根据事务链接获取指标数据列表 order:1升序,其余值为降序
  173. func GetEdbDataListAllByTo(to orm.TxOrmer, condition string, pars []interface{}, source, order int) (item []*EdbInfoSearchData, err error) {
  174. sql := ``
  175. tableName := GetEdbDataTableName(source)
  176. sql = ` SELECT * FROM %s WHERE 1=1 `
  177. sql = fmt.Sprintf(sql, tableName)
  178. if condition != "" {
  179. sql += condition
  180. }
  181. if order == 1 {
  182. sql += ` ORDER BY data_time ASC `
  183. } else {
  184. sql += ` ORDER BY data_time DESC `
  185. }
  186. _, err = to.Raw(sql, pars).QueryRows(&item)
  187. return
  188. }
  189. // EdbInfoMaxAndMinInfo 指标最新数据记录结构体
  190. type EdbInfoMaxAndMinInfo struct {
  191. MinDate string `description:"最小日期"`
  192. MaxDate string `description:"最大日期"`
  193. MinValue float64 `description:"最小值"`
  194. MaxValue float64 `description:"最大值"`
  195. LatestValue float64 `description:"最新值"`
  196. LatestDate string `description:"实际数据最新日期"`
  197. }
  198. // GetEdbInfoMaxAndMinInfo 获取指标的最新数据记录信息
  199. func GetEdbInfoMaxAndMinInfo(source int, edbCode string) (item *EdbInfoMaxAndMinInfo, err error) {
  200. o := orm.NewOrm()
  201. sql := ``
  202. tableName := GetEdbDataTableName(source)
  203. sql = ` SELECT MIN(data_time) AS min_date,MAX(data_time) AS max_date,MIN(value) AS min_value,MAX(value) AS max_value FROM %s WHERE edb_code=? `
  204. sql = fmt.Sprintf(sql, tableName)
  205. err = o.Raw(sql, edbCode).QueryRow(&item)
  206. var latest_value float64
  207. sql = ` SELECT value AS latest_value FROM %s WHERE edb_code=? ORDER BY data_time DESC LIMIT 1 `
  208. sql = fmt.Sprintf(sql, tableName)
  209. err = o.Raw(sql, edbCode).QueryRow(&latest_value)
  210. item.LatestValue = latest_value
  211. return
  212. }
  213. // ModifyEdbInfoMaxAndMinInfo 修改指标的最新数据信息
  214. func ModifyEdbInfoMaxAndMinInfo(edbInfoId int, item *EdbInfoMaxAndMinInfo) (err error) {
  215. o := orm.NewOrm()
  216. sql := ` UPDATE edb_info SET start_date=?,end_date=?,min_value=?,max_value=?,is_update=2,latest_date=?,latest_value=?,modify_time=NOW() WHERE edb_info_id=? `
  217. _, err = o.Raw(sql, item.MinDate, item.MaxDate, item.MinValue, item.MaxValue, item.MaxDate, item.LatestValue, edbInfoId).Exec()
  218. return
  219. }
  220. // ModifyEdbTimeAndLastInfo 修改指标的最新数据信息(除上下限)
  221. func ModifyEdbTimeAndLastInfo(edbInfoId int, item *EdbInfoMaxAndMinInfo) (err error) {
  222. o := orm.NewOrm()
  223. sql := `UPDATE edb_info SET start_date = ?, end_date = ?, is_update = 2,latest_date = ?, latest_value = ?, modify_time = NOW() WHERE edb_info_id = ?`
  224. _, err = o.Raw(sql, item.MinDate, item.MaxDate, item.MaxDate, item.LatestValue, edbInfoId).Exec()
  225. return
  226. }
  227. // GetEdbDataCount 获取edb指标数据的数量; order:1升序,其余值为降序
  228. func GetEdbDataCount(condition string, pars []interface{}, source int) (count int, err error) {
  229. o := orm.NewOrm()
  230. sql := ``
  231. tableName := GetEdbDataTableName(source)
  232. sql = ` SELECT COUNT(1) AS count FROM %s WHERE 1=1 `
  233. sql = fmt.Sprintf(sql, tableName)
  234. if condition != "" {
  235. sql += condition
  236. }
  237. err = o.Raw(sql, pars).QueryRow(&count)
  238. return
  239. }
  240. // GetLastEdbData 获取最近的一条指标数据
  241. func GetLastEdbData(condition string, pars []interface{}, source int) (item *EdbInfoSearchData, err error) {
  242. o := orm.NewOrm()
  243. sql := ``
  244. tableName := GetEdbDataTableName(source)
  245. sql = ` SELECT * FROM %s WHERE 1=1 `
  246. sql = fmt.Sprintf(sql, tableName)
  247. if condition != "" {
  248. sql += condition
  249. }
  250. sql += ` ORDER BY data_time DESC `
  251. err = o.Raw(sql, pars).QueryRow(&item)
  252. return
  253. }
  254. // GetEdbInfoByEdbCode 根据指标code获取指标信息
  255. func GetEdbInfoByEdbCode(source int, edbCode string) (item *EdbInfo, err error) {
  256. o := orm.NewOrm()
  257. sql := ` SELECT * FROM edb_info WHERE source=? AND edb_code=? `
  258. err = o.Raw(sql, source, edbCode).QueryRow(&item)
  259. return
  260. }
  261. // GetEdbInfoOnlyByEdbCode 仅根据指标code获取指标信息
  262. func GetEdbInfoOnlyByEdbCode(edbCode string) (item *EdbInfo, err error) {
  263. o := orm.NewOrm()
  264. sql := ` SELECT * FROM edb_info WHERE edb_code=? `
  265. err = o.Raw(sql, edbCode).QueryRow(&item)
  266. return
  267. }
  268. // GetEdbInfoCalculateListByCondition 获取指标关系列表
  269. func GetEdbInfoCalculateListByCondition(condition string, pars []interface{}) (items []*EdbInfoCalculateMapping, err error) {
  270. o := orm.NewOrm()
  271. sql := ` SELECT * FROM edb_info_calculate_mapping WHERE 1=1 `
  272. if condition != "" {
  273. sql += condition
  274. }
  275. _, err = o.Raw(sql, pars).QueryRows(&items)
  276. return
  277. }
  278. // GetEdbInfoCalculateCountByCondition 获取关联指标数量
  279. func GetEdbInfoCalculateCountByCondition(condition string, pars []interface{}) (count int, err error) {
  280. o := orm.NewOrm()
  281. sql := ` SELECT COUNT(1) AS count FROM edb_info_calculate_mapping WHERE 1=1 `
  282. if condition != "" {
  283. sql += condition
  284. }
  285. err = o.Raw(sql, pars).QueryRow(&count)
  286. return
  287. }
  288. // 优化版本-处理数据精度问题
  289. type EdbInfoSearchDataV1 struct {
  290. EdbDataId int `description:"数据ID"`
  291. DataTime string `description:"数据日期"`
  292. Value string `description:"数据"`
  293. }
  294. // 优化版本-处理数据精度问题
  295. func GetEdbDataListAllV1(condition string, pars []interface{}, source, order int) (item []*EdbInfoSearchDataV1, err error) {
  296. o := orm.NewOrm()
  297. sql := ``
  298. tableName := GetEdbDataTableName(source)
  299. sql = ` SELECT * FROM %s WHERE 1=1 `
  300. sql = fmt.Sprintf(sql, tableName)
  301. if condition != "" {
  302. sql += condition
  303. }
  304. if order == 1 {
  305. sql += ` ORDER BY data_time ASC `
  306. } else {
  307. sql += ` ORDER BY data_time DESC `
  308. }
  309. _, err = o.Raw(sql, pars).QueryRows(&item)
  310. return
  311. }
  312. // GetEdbDataListAllV1ByTo 通过事务链接获取数据列表
  313. func GetEdbDataListAllV1ByTo(to orm.TxOrmer, condition string, pars []interface{}, source, order int) (item []*EdbInfoSearchDataV1, err error) {
  314. sql := ``
  315. tableName := GetEdbDataTableName(source)
  316. sql = ` SELECT * FROM %s WHERE 1=1 `
  317. sql = fmt.Sprintf(sql, tableName)
  318. if condition != "" {
  319. sql += condition
  320. }
  321. if order == 1 {
  322. sql += ` ORDER BY data_time ASC `
  323. } else {
  324. sql += ` ORDER BY data_time DESC `
  325. }
  326. _, err = to.Raw(sql, pars).QueryRows(&item)
  327. return
  328. }
  329. // GetEdbInfoByCondition 获取指标列表
  330. func GetEdbInfoByCondition(condition string, pars []interface{}, order int) (item []*EdbInfo, err error) {
  331. o := orm.NewOrm()
  332. sql := ` SELECT * FROM edb_info WHERE 1=1 `
  333. if condition != "" {
  334. sql += condition
  335. }
  336. if order == 1 {
  337. sql += ` ORDER BY end_date ASC `
  338. } else {
  339. sql += ` ORDER BY edb_info_id ASC `
  340. }
  341. _, err = o.Raw(sql, pars).QueryRows(&item)
  342. return
  343. }
  344. // UnifiedModifyEdbInfoMaxAndMinInfo 统一修改指标的最大最小值
  345. func UnifiedModifyEdbInfoMaxAndMinInfo(edbInfo *EdbInfo) (err error, errMsg string) {
  346. // 修改最大最小值
  347. maxAndMinItem, err := GetEdbInfoMaxAndMinInfo(edbInfo.Source, edbInfo.EdbCode)
  348. if err != nil {
  349. if err.Error() == utils.ErrNoRow() {
  350. err = nil
  351. return
  352. }
  353. errMsg = "刷新指标失败!"
  354. err = errors.New("获取指标最大最小值失败,err:" + err.Error())
  355. return
  356. }
  357. if maxAndMinItem != nil {
  358. // ETA1.0.3改-如果指标有手动保存过, 那么就不更新指标的最大最小值
  359. if edbInfo.ManualSave == 1 {
  360. err = ModifyEdbTimeAndLastInfo(edbInfo.EdbInfoId, maxAndMinItem)
  361. if err != nil {
  362. errMsg = "刷新指标失败!"
  363. err = errors.New("修改指标最新日期和数据失败,err:" + err.Error())
  364. return
  365. }
  366. } else {
  367. err = ModifyEdbInfoMaxAndMinInfo(edbInfo.EdbInfoId, maxAndMinItem)
  368. if err != nil {
  369. errMsg = "刷新指标失败!"
  370. err = errors.New("修改指标最大最小值失败,err:" + err.Error())
  371. return
  372. }
  373. }
  374. }
  375. // 修改关联的预测指标
  376. go ModifyPredictEdbInfoMaxAndMinInfoBySourceEdbInfoId(edbInfo.EdbInfoId, maxAndMinItem)
  377. return
  378. }
  379. // UnifiedModifyPredictEdbInfoMaxAndMinInfo 统一修改预测运算指标的最大最小值
  380. func UnifiedModifyPredictEdbInfoMaxAndMinInfo(edbInfo *EdbInfo, latestDateStr string, latestValue float64) (err error, errMsg string) {
  381. // 修改最大最小值
  382. maxAndMinItem, err := GetEdbInfoMaxAndMinInfo(edbInfo.Source, edbInfo.EdbCode)
  383. if err != nil {
  384. if err.Error() == utils.ErrNoRow() {
  385. err = nil
  386. return
  387. }
  388. errMsg = "刷新指标失败!"
  389. err = errors.New("获取指标最大最小值失败,err:" + err.Error())
  390. return
  391. }
  392. if maxAndMinItem != nil {
  393. maxAndMinItem.LatestDate = latestDateStr
  394. maxAndMinItem.LatestValue = latestValue
  395. err = ModifyPredictEdbInfoMaxAndMinInfo(edbInfo.EdbInfoId, maxAndMinItem)
  396. if err != nil {
  397. errMsg = "刷新指标失败!"
  398. err = errors.New("修改指标最大最小值失败,err:" + err.Error())
  399. return
  400. }
  401. }
  402. return
  403. }
  404. // GetChartPredictEdbInfoDataListByConfList 获取图表的预测指标的未来数据
  405. func GetChartPredictEdbInfoDataListByConfList(predictEdbConfList []*PredictEdbConfAndData, filtrateStartDateStr, latestDateStr, endDateStr, frequency, dataDateType string, realPredictEdbInfoData []*EdbInfoSearchData) (predictEdbInfoData []*EdbInfoSearchData, minValue, maxValue float64, err error) {
  406. endDate, err := time.ParseInLocation(utils.FormatDate, endDateStr, time.Local)
  407. if err != nil {
  408. return
  409. }
  410. latestDate, err := time.ParseInLocation(utils.FormatDate, latestDateStr, time.Local)
  411. if err != nil {
  412. return
  413. }
  414. // 开始预测数据的时间
  415. startDate := latestDate
  416. // 如果有筛选时间的话
  417. if filtrateStartDateStr != `` {
  418. filtrateStartDate, tmpErr := time.ParseInLocation(utils.FormatDate, filtrateStartDateStr, time.Local)
  419. if tmpErr != nil {
  420. err = tmpErr
  421. return
  422. }
  423. //如果筛选时间晚于实际数据时间,那么就以筛选时间作为获取预测数据的时间
  424. if filtrateStartDate.After(latestDate) {
  425. startDate = filtrateStartDate.AddDate(0, 0, -1)
  426. }
  427. }
  428. //var dateArr []string
  429. // 对应日期的值
  430. existMap := make(map[string]float64)
  431. for _, v := range realPredictEdbInfoData {
  432. //dateArr = append(dateArr, v.DataTime)
  433. existMap[v.DataTime] = v.Value
  434. }
  435. predictEdbInfoData = make([]*EdbInfoSearchData, 0)
  436. //dataValue := lastDataValue
  437. //预测规则,1:最新,2:固定值,3:同比,4:同差,5:环比,6:环差,7:N期移动均值,8:N期段线性外推值
  438. for _, predictEdbConf := range predictEdbConfList {
  439. dataEndTime := endDate
  440. if predictEdbConf.EndDate.Before(dataEndTime) {
  441. dataEndTime = predictEdbConf.EndDate
  442. }
  443. var tmpMinValue, tmpMaxValue float64 // 当前预测结果中的最大/最小值
  444. dayList := getPredictEdbDayList(startDate, dataEndTime, frequency, dataDateType)
  445. if len(dayList) <= 0 { // 如果未来没有日期的话,那么就退出当前循环,进入下一个循环
  446. continue
  447. }
  448. switch predictEdbConf.RuleType {
  449. case 1: //1:最新
  450. var lastDataValue float64 //最新值
  451. tmpAllData := make([]*EdbInfoSearchData, 0)
  452. tmpAllData = append(tmpAllData, realPredictEdbInfoData...)
  453. tmpAllData = append(tmpAllData, predictEdbInfoData...)
  454. lenTmpAllData := len(tmpAllData)
  455. if lenTmpAllData > 0 {
  456. lastDataValue = tmpAllData[lenTmpAllData-1].Value
  457. }
  458. predictEdbInfoData = GetChartPredictEdbInfoDataListByRule1(predictEdbConf.PredictEdbInfoId, lastDataValue, dayList, predictEdbInfoData, existMap)
  459. tmpMaxValue = lastDataValue
  460. tmpMinValue = lastDataValue
  461. case 2: //2:固定值
  462. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  463. if tmpErr != nil {
  464. err = tmpErr
  465. return
  466. }
  467. dataValue, _ := tmpValDecimal.Float64()
  468. predictEdbInfoData = GetChartPredictEdbInfoDataListByRule1(predictEdbConf.PredictEdbInfoId, dataValue, dayList, predictEdbInfoData, existMap)
  469. tmpMaxValue = dataValue
  470. tmpMinValue = dataValue
  471. case 3: //3:同比
  472. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  473. if tmpErr != nil {
  474. err = tmpErr
  475. return
  476. }
  477. tbValue, _ := tmpValDecimal.Float64()
  478. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleTb(predictEdbConf.PredictEdbInfoId, tbValue, dayList, frequency, realPredictEdbInfoData, predictEdbInfoData, existMap)
  479. case 4: //4:同差
  480. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  481. if tmpErr != nil {
  482. err = tmpErr
  483. return
  484. }
  485. tcValue, _ := tmpValDecimal.Float64()
  486. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleTc(predictEdbConf.PredictEdbInfoId, tcValue, dayList, frequency, realPredictEdbInfoData, predictEdbInfoData, existMap)
  487. case 5: //5:环比
  488. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  489. if tmpErr != nil {
  490. err = tmpErr
  491. return
  492. }
  493. hbValue, _ := tmpValDecimal.Float64()
  494. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleHb(predictEdbConf.PredictEdbInfoId, hbValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  495. case 6: //6:环差
  496. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  497. if tmpErr != nil {
  498. err = tmpErr
  499. return
  500. }
  501. hcValue, _ := tmpValDecimal.Float64()
  502. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleHc(predictEdbConf.PredictEdbInfoId, hcValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  503. case 7: //7:N期移动均值
  504. nValue, tmpErr := strconv.Atoi(predictEdbConf.Value)
  505. if tmpErr != nil {
  506. err = tmpErr
  507. return
  508. }
  509. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleNMoveMeanValue(predictEdbConf.PredictEdbInfoId, nValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  510. case 8: //8:N期段线性外推值
  511. nValue, tmpErr := strconv.Atoi(predictEdbConf.Value)
  512. if tmpErr != nil {
  513. err = tmpErr
  514. return
  515. }
  516. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleNLinearRegression(predictEdbConf.PredictEdbInfoId, nValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  517. if err != nil {
  518. return
  519. }
  520. case 9: //9:动态环差”预测规则;
  521. hcDataMap := make(map[string]float64) //规则计算的环差值map
  522. if predictEdbConf.PredictEdbInfoId > 0 {
  523. tmpPredictEdbRuleDataList, tmpErr := GetPredictEdbRuleDataItemList(predictEdbConf.PredictEdbInfoId, predictEdbConf.ConfigId, startDate.Format(utils.FormatDate), endDate.Format(utils.FormatDate))
  524. if tmpErr != nil {
  525. err = tmpErr
  526. return
  527. }
  528. for _, v := range tmpPredictEdbRuleDataList {
  529. hcDataMap[v.DataTime] = v.Value
  530. }
  531. } else {
  532. if len(predictEdbConf.DataList) <= 0 {
  533. return
  534. }
  535. for _, v := range predictEdbConf.DataList {
  536. currentDate, tmpErr := time.ParseInLocation(utils.FormatDate, v.DataTime, time.Local)
  537. if tmpErr != nil {
  538. continue
  539. }
  540. // 只处理时间段内的数据
  541. if currentDate.Before(startDate) || currentDate.After(endDate) {
  542. continue
  543. }
  544. hcDataMap[v.DataTime] = v.Value
  545. }
  546. }
  547. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleTrendsHC(predictEdbConf.PredictEdbInfoId, dayList, realPredictEdbInfoData, predictEdbInfoData, hcDataMap, existMap)
  548. case 10: //10:根据 给定终值后插值 规则获取预测数据
  549. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  550. if tmpErr != nil {
  551. err = tmpErr
  552. return
  553. }
  554. finalValue, _ := tmpValDecimal.Float64()
  555. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleFinalValueHc(predictEdbConf.PredictEdbInfoId, finalValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  556. case 11: //11:根据 季节性 规则获取预测数据
  557. var seasonConf SeasonConf
  558. tmpErr := json.Unmarshal([]byte(predictEdbConf.Value), &seasonConf)
  559. if tmpErr != nil {
  560. err = errors.New("季节性配置信息异常:" + tmpErr.Error())
  561. return
  562. }
  563. calendar := "公历"
  564. if seasonConf.Calendar == "农历" {
  565. calendar = "农历"
  566. }
  567. yearList := make([]int, 0)
  568. //选择方式,1:连续N年;2:指定年份
  569. if seasonConf.YearType == 1 {
  570. if seasonConf.NValue < 1 {
  571. err = errors.New("连续N年不允许小于1")
  572. return
  573. }
  574. currYear := time.Now().Year()
  575. for i := 0; i < seasonConf.NValue; i++ {
  576. yearList = append(yearList, currYear-i-1)
  577. }
  578. } else {
  579. yearList = seasonConf.YearList
  580. }
  581. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleSeason(predictEdbConf.PredictEdbInfoId, yearList, calendar, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  582. if err != nil {
  583. return
  584. }
  585. case 12: //12:根据 移动平均同比 规则获取预测数据
  586. var moveAverageConf MoveAverageConf
  587. tmpErr := json.Unmarshal([]byte(predictEdbConf.Value), &moveAverageConf)
  588. if tmpErr != nil {
  589. err = errors.New("季节性配置信息异常:" + tmpErr.Error())
  590. return
  591. }
  592. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleMoveAverageTb(predictEdbConf.PredictEdbInfoId, moveAverageConf.NValue, moveAverageConf.Year, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  593. if err != nil {
  594. return
  595. }
  596. case 13: //13:根据 同比增速差值 规则获取预测数据
  597. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  598. if tmpErr != nil {
  599. err = tmpErr
  600. return
  601. }
  602. tbEndValue, _ := tmpValDecimal.Float64()
  603. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleTbzscz(predictEdbConf.PredictEdbInfoId, tbEndValue, dayList, frequency, realPredictEdbInfoData, predictEdbInfoData, existMap)
  604. case 14: //14:根据 一元线性拟合 规则获取预测数据
  605. var ruleConf RuleLineNhConf
  606. err = json.Unmarshal([]byte(predictEdbConf.Value), &ruleConf)
  607. if err != nil {
  608. err = errors.New("一元线性拟合规则配置信息异常:" + err.Error())
  609. return
  610. }
  611. // 规则计算的拟合残差值map
  612. newNhccDataMap := make(map[string]float64)
  613. if predictEdbConf.PredictEdbInfoId > 0 { //已经生成的动态数据
  614. tmpPredictEdbRuleDataList, tmpErr := GetPredictEdbRuleDataItemList(predictEdbConf.PredictEdbInfoId, predictEdbConf.ConfigId, startDate.Format(utils.FormatDate), endDate.Format(utils.FormatDate))
  615. if tmpErr != nil {
  616. err = tmpErr
  617. return
  618. }
  619. for _, v := range tmpPredictEdbRuleDataList {
  620. newNhccDataMap[v.DataTime] = v.Value
  621. }
  622. } else { //未生成的动态数据,需要使用外部传入的数据进行计算
  623. newNhccDataMap, err, _ = getCalculateNhccData(append(realPredictEdbInfoData, predictEdbInfoData...), ruleConf)
  624. }
  625. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleLineNh(predictEdbConf.PredictEdbInfoId, dayList, realPredictEdbInfoData, predictEdbInfoData, newNhccDataMap, existMap)
  626. if err != nil {
  627. return
  628. }
  629. case 15: //15:N年均值:过去N年同期均值。过去N年可以连续或者不连续,指标数据均用线性插值补全为日度数据后计算;
  630. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleNAnnualAverage(predictEdbConf.PredictEdbInfoId, predictEdbConf.Value, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  631. if err != nil {
  632. return
  633. }
  634. case 16: //16:年度值倒推
  635. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleAnnualValueInversion(predictEdbConf.PredictEdbInfoId, predictEdbConf.Value, dayList, frequency, realPredictEdbInfoData, predictEdbInfoData, existMap)
  636. if err != nil {
  637. return
  638. }
  639. }
  640. // 下一个规则的开始日期
  641. {
  642. lenPredictEdbInfoData := len(predictEdbInfoData)
  643. if lenPredictEdbInfoData > 0 {
  644. tmpDataEndTime, _ := time.ParseInLocation(utils.FormatDate, predictEdbInfoData[lenPredictEdbInfoData-1].DataTime, time.Local)
  645. if startDate.Before(tmpDataEndTime) {
  646. startDate = tmpDataEndTime
  647. }
  648. }
  649. }
  650. if tmpMinValue < minValue {
  651. minValue = tmpMinValue
  652. }
  653. if tmpMaxValue < maxValue {
  654. maxValue = tmpMaxValue
  655. }
  656. }
  657. return
  658. }
  659. // GetPredictEdbDayList 获取预测指标日期列表
  660. // GetPredictEdbDayList 获取预测指标日期列表
  661. func getPredictEdbDayList(startDate, endDate time.Time, frequency, dataDateType string) (dayList []time.Time) {
  662. if dataDateType == `` {
  663. dataDateType = `交易日`
  664. }
  665. switch frequency {
  666. case "日度":
  667. for currDate := startDate.AddDate(0, 0, 1); currDate.Before(endDate) || currDate.Equal(endDate); currDate = currDate.AddDate(0, 0, 1) {
  668. // 如果日期类型是交易日的时候,那么需要将周六、日排除
  669. if dataDateType == `交易日` && (currDate.Weekday() == time.Sunday || currDate.Weekday() == time.Saturday) {
  670. continue
  671. }
  672. dayList = append(dayList, currDate)
  673. }
  674. case "周度":
  675. //nextDate := startDate.AddDate(0, 0, 7)
  676. for currDate := startDate.AddDate(0, 0, 7); currDate.Before(endDate) || currDate.Equal(endDate); currDate = currDate.AddDate(0, 0, 7) {
  677. dayList = append(dayList, currDate)
  678. }
  679. case "旬度":
  680. for currDate := startDate.AddDate(0, 0, 1); currDate.Before(endDate) || currDate.Equal(endDate); {
  681. nextDate := currDate.AddDate(0, 0, 1)
  682. //每个月的10号、20号、最后一天,那么就写入
  683. if nextDate.Day() == 11 || nextDate.Day() == 21 || nextDate.Day() == 1 {
  684. dayList = append(dayList, currDate)
  685. }
  686. currDate = nextDate
  687. }
  688. case "月度":
  689. for currDate := startDate; currDate.Before(endDate) || currDate.Equal(endDate); {
  690. currDate = time.Date(currDate.Year(), currDate.Month(), 1, 0, 0, 0, 0, time.Now().Location()).AddDate(0, 1, -1)
  691. if !currDate.After(endDate) && !currDate.Equal(startDate) {
  692. dayList = append(dayList, currDate)
  693. }
  694. currDate = currDate.AddDate(0, 0, 1)
  695. }
  696. case "季度":
  697. for currDate := startDate; currDate.Before(endDate) || currDate.Equal(endDate); {
  698. // 每月的最后一天
  699. currDate = time.Date(currDate.Year(), currDate.Month(), 1, 0, 0, 0, 0, time.Now().Location()).AddDate(0, 1, -1)
  700. if !currDate.After(endDate) && !currDate.Equal(startDate) {
  701. // 季度日期就写入,否则不写入
  702. if currDate.Month() == 3 || currDate.Month() == 6 || currDate.Month() == 9 || currDate.Month() == 12 {
  703. dayList = append(dayList, currDate)
  704. }
  705. }
  706. currDate = currDate.AddDate(0, 0, 1)
  707. }
  708. case "半年度":
  709. for currDate := startDate; currDate.Before(endDate) || currDate.Equal(endDate); {
  710. // 每月的最后一天
  711. currDate = time.Date(currDate.Year(), currDate.Month(), 1, 0, 0, 0, 0, time.Now().Location()).AddDate(0, 1, -1)
  712. if !currDate.After(endDate) && !currDate.Equal(startDate) {
  713. // 半年度日期就写入,否则不写入
  714. if currDate.Month() == 6 || currDate.Month() == 12 {
  715. dayList = append(dayList, currDate)
  716. }
  717. }
  718. currDate = currDate.AddDate(0, 0, 1)
  719. }
  720. case "年度":
  721. for currDate := startDate; currDate.Before(endDate) || currDate.Equal(endDate); {
  722. currDate = time.Date(currDate.Year()+1, 12, 31, 0, 0, 0, 0, time.Now().Location())
  723. if !currDate.After(endDate) && !currDate.Equal(startDate) {
  724. dayList = append(dayList, currDate)
  725. }
  726. }
  727. }
  728. return
  729. }
  730. // GetPredictDataListByPredictEdbInfo 根据预测指标信息获取预测指标的数据,order:1升序,其余值为降序
  731. func GetPredictDataListByPredictEdbInfo(edbInfo *EdbInfo, order int, startDate string) (dataList []*EdbInfoSearchData, sourceEdbInfoItem *EdbInfo, err error, errMsg string) {
  732. // 查找该预测指标配置
  733. predictEdbConfList, err := GetPredictEdbConfAndDataListById(edbInfo.EdbInfoId)
  734. if err != nil && err.Error() != utils.ErrNoRow() {
  735. errMsg = "获取预测指标配置信息失败"
  736. return
  737. }
  738. if len(predictEdbConfList) == 0 {
  739. errMsg = "获取预测指标配置信息失败"
  740. err = errors.New(errMsg)
  741. return
  742. }
  743. predictEdbConf := predictEdbConfList[0]
  744. // 来源指标
  745. sourceEdbInfoItem, err = GetEdbInfoById(predictEdbConf.SourceEdbInfoId)
  746. if err != nil {
  747. if err.Error() == utils.ErrNoRow() {
  748. errMsg = "找不到来源指标信息"
  749. err = errors.New(errMsg)
  750. }
  751. return
  752. }
  753. dataList, err, errMsg = GetPredictDataListByPredictEdbConfList(edbInfo, sourceEdbInfoItem, predictEdbConfList, order, startDate)
  754. return
  755. }
  756. // GetPredictDataListByPredictEdbConfList 根据预测指标信息获取预测指标的数据,order:1升序,其余值为降序
  757. func GetPredictDataListByPredictEdbConfList(edbInfo, sourceEdbInfoItem *EdbInfo, predictEdbConfList []*PredictEdbConfAndData, order int, startDate string) (dataList []*EdbInfoSearchData, err error, errMsg string) {
  758. allDataList := make([]*EdbInfoSearchData, 0)
  759. //获取指标数据(实际已生成)
  760. var condition string
  761. var pars []interface{}
  762. condition += " AND edb_info_id=? "
  763. pars = append(pars, sourceEdbInfoItem.EdbInfoId)
  764. if startDate != "" {
  765. condition += " AND data_time>=? "
  766. pars = append(pars, startDate)
  767. }
  768. tmpDataList, err := GetEdbDataListAll(condition, pars, sourceEdbInfoItem.Source, 1)
  769. if err != nil {
  770. return
  771. }
  772. // 如果选择了日期,那么需要筛选所有的数据,用于未来指标的生成
  773. if startDate != `` {
  774. allDataList, err = GetEdbDataListAll(" AND edb_info_id=? ", []interface{}{sourceEdbInfoItem.EdbInfoId}, sourceEdbInfoItem.Source, 1)
  775. if err != nil {
  776. return
  777. }
  778. } else {
  779. allDataList = tmpDataList
  780. }
  781. // 获取预测指标未来的数据
  782. predictDataList := make([]*EdbInfoSearchData, 0)
  783. endDateStr := edbInfo.EndDate //预测指标的结束日期
  784. var predictMinValue, predictMaxValue float64
  785. // 如果有配置的预测规则,那么就进行预测
  786. if len(predictEdbConfList) > 0 {
  787. predictDataList, predictMinValue, predictMaxValue, err = GetChartPredictEdbInfoDataListByConfList(predictEdbConfList, startDate, sourceEdbInfoItem.LatestDate, endDateStr, edbInfo.Frequency, edbInfo.DataDateType, allDataList)
  788. if err != nil {
  789. return
  790. }
  791. }
  792. //order:1升序,其余值为降序
  793. if order == 1 {
  794. dataList = append(tmpDataList, predictDataList...)
  795. } else {
  796. // 先倒序预测数据
  797. lenPredictDataList := len(predictDataList)
  798. if lenPredictDataList > 0 {
  799. for k := range predictDataList {
  800. dataList = append(dataList, predictDataList[lenPredictDataList-k-1])
  801. }
  802. }
  803. // 接着倒序实际指标
  804. lenDataList := len(tmpDataList)
  805. for k := range tmpDataList {
  806. dataList = append(dataList, tmpDataList[lenDataList-k-1])
  807. }
  808. }
  809. if len(predictDataList) > 0 {
  810. // 如果最小值 大于 预测值,那么将预测值作为最小值数据返回
  811. if edbInfo.MinValue > predictMinValue {
  812. edbInfo.MinValue = predictMinValue
  813. }
  814. // 如果最大值 小于 预测值,那么将预测值作为最大值数据返回
  815. if edbInfo.MaxValue < predictMaxValue {
  816. edbInfo.MaxValue = predictMaxValue
  817. }
  818. }
  819. return
  820. }
  821. // GetPredictEdbDataListAll 获取该预测指标所有的数据 ,order:1升序,其余值为降序
  822. func GetPredictEdbDataListAll(edbInfo *EdbInfo, order int) (items []*EdbInfoSearchData, err error) {
  823. if edbInfo.Source == utils.DATA_SOURCE_PREDICT { //普通的预测指标是没有入库数据的,直接往配置里面获取
  824. items, _, err, _ = GetPredictDataListByPredictEdbInfo(edbInfo, 1, "")
  825. } else {
  826. var condition string
  827. var pars []interface{}
  828. condition += " AND edb_info_id=? "
  829. pars = append(pars, edbInfo.EdbInfoId)
  830. items, err = GetEdbDataListAll(condition, pars, edbInfo.Source, order)
  831. }
  832. return
  833. }
  834. // GetPredictEdbDataListAllByStartDate 根据开始日期获取该预测指标所有的数据 ,order:1升序,其余值为降序
  835. func GetPredictEdbDataListAllByStartDate(edbInfo *EdbInfo, order int, startDate string) (items []*EdbInfoSearchData, err error) {
  836. if edbInfo.Source == utils.DATA_SOURCE_PREDICT { //普通的预测指标是没有入库数据的,直接往配置里面获取
  837. items, _, err, _ = GetPredictDataListByPredictEdbInfo(edbInfo, order, startDate)
  838. } else {
  839. var condition string
  840. var pars []interface{}
  841. condition += " AND edb_info_id=? "
  842. pars = append(pars, edbInfo.EdbInfoId)
  843. if startDate != "" {
  844. condition += " AND data_time>=? "
  845. pars = append(pars, startDate)
  846. }
  847. items, err = GetEdbDataListAll(condition, pars, edbInfo.Source, order)
  848. }
  849. return
  850. }
  851. // ModifyPredictEdbInfoMaxAndMinInfo 修改预测指标的最新数据信息
  852. func ModifyPredictEdbInfoMaxAndMinInfo(edbInfoId int, item *EdbInfoMaxAndMinInfo) (err error) {
  853. o := orm.NewOrm()
  854. sql := ` UPDATE edb_info SET start_date=?,end_date=?,min_value=?,max_value=?,is_update=2,latest_date=?,latest_value=?,modify_time=NOW() WHERE edb_info_id=? `
  855. _, err = o.Raw(sql, item.MinDate, item.MaxDate, item.MinValue, item.MaxValue, item.LatestDate, item.LatestValue, edbInfoId).Exec()
  856. return
  857. }
  858. // ModifyCalculateEdbInfo 修改计算指标信息
  859. func ModifyCalculateEdbInfo(edbName, frequency, unit, calculateFormula string, classifyId, edbInfoId int) (err error) {
  860. o := orm.NewOrm()
  861. sql := ` UPDATE edb_info
  862. SET
  863. edb_name =?,
  864. edb_name_source =?,
  865. frequency = ?,
  866. unit = ?,
  867. classify_id = ?,
  868. calculate_formula=?,
  869. modify_time = NOW()
  870. WHERE edb_info_id = ?`
  871. _, err = o.Raw(sql, edbName, edbName, frequency, unit, classifyId, calculateFormula, edbInfoId).Exec()
  872. return
  873. }
  874. func GetEdbInfoItemByCondition(condition string, pars []interface{}) (item *EdbInfoList, err error) {
  875. o := orm.NewOrm()
  876. sql := ` SELECT * FROM edb_info WHERE 1=1 `
  877. if condition != "" {
  878. sql += condition
  879. }
  880. err = o.Raw(sql, pars).QueryRow(&item)
  881. return
  882. }
  883. func GetEdbInfoItemListByCondition() (items []*EdbInfoList, err error) {
  884. o := orm.NewOrm()
  885. sql := ` SELECT * FROM edb_info WHERE 1=1 `
  886. _, err = o.Raw(sql).QueryRows(&items)
  887. return
  888. }
  889. // EdbInfoDetailReq 指标详情请求
  890. type EdbInfoDetailReq struct {
  891. UniqueCode string `description:"指标唯一编码"`
  892. EdbCode string `description:"指标编码"`
  893. }
  894. // EdbInfoDetailResp 指标详情返回
  895. type EdbInfoDetailResp struct {
  896. SourceName string `description:"来源名称"`
  897. EdbCode string `description:"指标编码"`
  898. EdbName string `description:"指标名称"`
  899. EdbNameSource string `description:"指标名称来源"`
  900. Frequency string `description:"频率"`
  901. Unit string `description:"单位"`
  902. StartDate string `description:"起始日期"`
  903. EndDate string `description:"终止日期"`
  904. UniqueCode string `description:"指标唯一编码"`
  905. CreateTime time.Time
  906. ModifyTime time.Time
  907. MinValue float64 `description:"指标最小值"`
  908. MaxValue float64 `description:"指标最大值"`
  909. EdbNameEn string `description:"英文指标名称"`
  910. UnitEn string `description:"英文单位"`
  911. LatestDate string `description:"数据最新日期"`
  912. LatestValue float64 `description:"数据最新值"`
  913. ChartImage string `description:"图表图片"`
  914. DataList []*EdbInfoSearchData
  915. }
  916. type AddEdbInfoParams struct {
  917. Source int `description:"来源id"`
  918. EdbCode string `description:"指标编码"`
  919. EdbName string `description:"指标名称"`
  920. Frequency string `description:"频率"`
  921. Unit string `description:"单位"`
  922. ClassifyId int `description:"分类id"`
  923. AdminId int `description:"创建人ID"`
  924. AdminName string `description:"创建人姓名"`
  925. }
  926. // EdbInfoAdd 添加指标到指标库
  927. func EdbInfoAdd(req *AddEdbInfoParams, serverUrl string, sysUserId int, sysUserRealName string) (edbInfo *EdbInfo, err error) {
  928. source := req.Source
  929. //判断指标名称是否存在
  930. var condition string
  931. var pars []interface{}
  932. //condition += " AND source=? "
  933. //pars = append(pars, source)
  934. condition += " AND edb_code=? "
  935. pars = append(pars, req.EdbCode)
  936. items, err := GetEdbInfoByCondition(condition, pars, 0)
  937. if err != nil {
  938. err = errors.New("判断指标是否存在失败,Err:" + err.Error())
  939. return
  940. }
  941. if len(items) > 0 {
  942. sql := ` UPDATE edb_info SET classify_id=?,modify_time=NOW() WHERE edb_code=? `
  943. o := orm.NewOrm()
  944. _, err = o.Raw(sql, req.ClassifyId, req.EdbCode).Exec()
  945. if err != nil {
  946. err = errors.New("更新指标分类信息失败,Err:" + err.Error())
  947. return
  948. }
  949. edbInfo = items[0]
  950. return
  951. }
  952. edbInfo = new(EdbInfo)
  953. edbInfo.Source = source
  954. sourceNameMap := map[int]string{
  955. utils.DATA_SOURCE_THS: "同花顺",
  956. utils.DATA_SOURCE_WIND: "wind",
  957. utils.DATA_SOURCE_PB: "彭博",
  958. utils.DATA_SOURCE_PB_FINANCE: "彭博财务",
  959. utils.DATA_SOURCE_MANUAL: "手工数据",
  960. utils.DATA_SOURCE_LZ: "隆众",
  961. utils.DATA_SOURCE_YS: "SMM",
  962. utils.DATA_SOURCE_GL: "钢联",
  963. utils.DATA_SOURCE_ZZ: "郑商所",
  964. utils.DATA_SOURCE_DL: "大商所",
  965. utils.DATA_SOURCE_SH: "上期所",
  966. utils.DATA_SOURCE_CFFEX: "中金所",
  967. utils.DATA_SOURCE_SHFE: "上期能源",
  968. utils.DATA_SOURCE_GIE: "欧洲天然气",
  969. utils.DATA_SOURCE_LT: "路透",
  970. utils.DATA_SOURCE_COAL: "中国煤炭网",
  971. utils.DATA_SOURCE_GOOGLE_TRAVEL: "our world in data",
  972. utils.DATA_SOURCE_MYSTEEL_CHEMICAL: "钢联化工",
  973. utils.DATA_SOURCE_EIA_STEO: "EIA STEO报告",
  974. utils.DATA_SOURCE_COM_TRADE: "UN",
  975. utils.DATA_SOURCE_SCI: "SCI",
  976. utils.DATA_SOURCE_BAIINFO: "BAIINFO",
  977. utils.DATA_SOURCE_STOCK_PLANT: "存量装置",
  978. utils.DATA_SOURCE_NATIONAL_STATISTICS: "国家统计局",
  979. utils.DATA_SOURCE_FUBAO: "富宝数据",
  980. }
  981. sourceName, ok := sourceNameMap[source]
  982. if !ok {
  983. edbSource := EdbSourceIdMap[source]
  984. if edbSource != nil {
  985. sourceName = edbSource.SourceName
  986. }
  987. if sourceName == "" {
  988. err = errors.New("指标来源异常")
  989. return
  990. }
  991. }
  992. edbInfo.SourceName = sourceName
  993. edbType := 1 //基础指标
  994. if source == utils.DATA_SOURCE_STOCK_PLANT {
  995. edbType = 2 //计算指标
  996. }
  997. // 钢联化工需要校验下信息是否完整
  998. if source == utils.DATA_SOURCE_MYSTEEL_CHEMICAL {
  999. indexObj := new(BaseFromMysteelChemicalIndex)
  1000. tmpItem, tmpErr := indexObj.GetIndexItem(req.EdbCode)
  1001. if tmpErr != nil {
  1002. err = tmpErr
  1003. return
  1004. }
  1005. if tmpItem == nil || tmpItem.IndexName == `` {
  1006. err = errors.New("指标信息不全")
  1007. return
  1008. }
  1009. }
  1010. edbInfo.EdbCode = req.EdbCode
  1011. edbInfo.EdbName = req.EdbName
  1012. edbInfo.EdbNameSource = req.EdbName
  1013. edbInfo.Frequency = req.Frequency
  1014. edbInfo.Unit = req.Unit
  1015. edbInfo.ClassifyId = req.ClassifyId
  1016. edbInfo.SysUserId = sysUserId
  1017. edbInfo.SysUserRealName = sysUserRealName
  1018. edbInfo.StartDate = "1990-01-01"
  1019. edbInfo.CreateTime = time.Now()
  1020. edbInfo.ModifyTime = time.Now()
  1021. edbInfo.ServerUrl = serverUrl
  1022. timestamp := strconv.FormatInt(time.Now().UnixNano(), 10)
  1023. edbInfo.UniqueCode = utils.MD5(utils.DATA_PREFIX + "_" + req.EdbCode + timestamp)
  1024. itemVal, err := GetEdbInfoMaxAndMinInfo(source, req.EdbCode)
  1025. if itemVal != nil && err == nil {
  1026. edbInfo.MaxValue = itemVal.MaxValue
  1027. edbInfo.MinValue = itemVal.MinValue
  1028. }
  1029. edbInfo.EdbType = edbType
  1030. edbInfoId, err := AddEdbInfo(edbInfo)
  1031. if err != nil {
  1032. err = errors.New("保存失败,Err:" + err.Error())
  1033. return
  1034. }
  1035. edbInfo.EdbInfoId = int(edbInfoId)
  1036. return
  1037. }
  1038. // EdbInfoRefreshCheckReq 指标数据更新情况查询
  1039. type EdbInfoRefreshCheckReq struct {
  1040. Source int `description:"来源id"`
  1041. LatestDate string `description:"数据最新日期"`
  1042. FrequencyBatch string `description:"更新频度"`
  1043. }
  1044. // EdbInfoRefreshCheckResp 指标数据更新情况查询
  1045. type EdbInfoRefreshCheckResp struct {
  1046. UpdateNum int `description:"已更新指标数"`
  1047. UnUpdateNum int `description:"未更新指标数"`
  1048. }
  1049. // ResetEdbClassifyReq 指标重新分类请求体
  1050. type ResetEdbClassifyReq struct {
  1051. IndexCode string `description:"指标编码"`
  1052. ClassifyFirst string `description:"一级分类名称"`
  1053. ClassifySecond string `description:"二级分类名称"`
  1054. ClassifyThird string `description:"三级分类名称"`
  1055. }