edb_info.go 41 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. }
  153. // GetEdbDataListAll 获取指标数据列表 order:1升序,其余值为降序
  154. func GetEdbDataListAll(condition string, pars []interface{}, source, order int) (item []*EdbInfoSearchData, err error) {
  155. o := orm.NewOrm()
  156. sql := ``
  157. tableName := GetEdbDataTableName(source)
  158. sql = ` SELECT * FROM %s WHERE 1=1 `
  159. sql = fmt.Sprintf(sql, tableName)
  160. if condition != "" {
  161. sql += condition
  162. }
  163. if order == 1 {
  164. sql += ` ORDER BY data_time ASC `
  165. } else {
  166. sql += ` ORDER BY data_time DESC `
  167. }
  168. _, err = o.Raw(sql, pars).QueryRows(&item)
  169. return
  170. }
  171. // 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
  172. func GetEdbDataListAllByTo(to orm.TxOrmer, condition string, pars []interface{}, source, order int) (item []*EdbInfoSearchData, err error) {
  173. sql := ``
  174. tableName := GetEdbDataTableName(source)
  175. sql = ` SELECT * FROM %s WHERE 1=1 `
  176. sql = fmt.Sprintf(sql, tableName)
  177. if condition != "" {
  178. sql += condition
  179. }
  180. if order == 1 {
  181. sql += ` ORDER BY data_time ASC `
  182. } else {
  183. sql += ` ORDER BY data_time DESC `
  184. }
  185. _, err = to.Raw(sql, pars).QueryRows(&item)
  186. return
  187. }
  188. // EdbInfoMaxAndMinInfo 指标最新数据记录结构体
  189. type EdbInfoMaxAndMinInfo struct {
  190. MinDate string `description:"最小日期"`
  191. MaxDate string `description:"最大日期"`
  192. MinValue float64 `description:"最小值"`
  193. MaxValue float64 `description:"最大值"`
  194. LatestValue float64 `description:"最新值"`
  195. LatestDate string `description:"实际数据最新日期"`
  196. }
  197. // GetEdbInfoMaxAndMinInfo 获取指标的最新数据记录信息
  198. func GetEdbInfoMaxAndMinInfo(source int, edbCode string) (item *EdbInfoMaxAndMinInfo, err error) {
  199. o := orm.NewOrm()
  200. sql := ``
  201. tableName := GetEdbDataTableName(source)
  202. 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=? `
  203. sql = fmt.Sprintf(sql, tableName)
  204. err = o.Raw(sql, edbCode).QueryRow(&item)
  205. var latest_value float64
  206. sql = ` SELECT value AS latest_value FROM %s WHERE edb_code=? ORDER BY data_time DESC LIMIT 1 `
  207. sql = fmt.Sprintf(sql, tableName)
  208. err = o.Raw(sql, edbCode).QueryRow(&latest_value)
  209. item.LatestValue = latest_value
  210. return
  211. }
  212. // ModifyEdbInfoMaxAndMinInfo 修改指标的最新数据信息
  213. func ModifyEdbInfoMaxAndMinInfo(edbInfoId int, item *EdbInfoMaxAndMinInfo) (err error) {
  214. o := orm.NewOrm()
  215. 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=? `
  216. _, err = o.Raw(sql, item.MinDate, item.MaxDate, item.MinValue, item.MaxValue, item.MaxDate, item.LatestValue, edbInfoId).Exec()
  217. return
  218. }
  219. // GetEdbDataCount 获取edb指标数据的数量; order:1升序,其余值为降序
  220. func GetEdbDataCount(condition string, pars []interface{}, source int) (count int, err error) {
  221. o := orm.NewOrm()
  222. sql := ``
  223. tableName := GetEdbDataTableName(source)
  224. sql = ` SELECT COUNT(1) AS count FROM %s WHERE 1=1 `
  225. sql = fmt.Sprintf(sql, tableName)
  226. if condition != "" {
  227. sql += condition
  228. }
  229. err = o.Raw(sql, pars).QueryRow(&count)
  230. return
  231. }
  232. // GetLastEdbData 获取最近的一条指标数据
  233. func GetLastEdbData(condition string, pars []interface{}, source int) (item *EdbInfoSearchData, err error) {
  234. o := orm.NewOrm()
  235. sql := ``
  236. tableName := GetEdbDataTableName(source)
  237. sql = ` SELECT * FROM %s WHERE 1=1 `
  238. sql = fmt.Sprintf(sql, tableName)
  239. if condition != "" {
  240. sql += condition
  241. }
  242. sql += ` ORDER BY data_time DESC `
  243. err = o.Raw(sql, pars).QueryRow(&item)
  244. return
  245. }
  246. // GetEdbInfoByEdbCode 根据指标code获取指标信息
  247. func GetEdbInfoByEdbCode(source int, edbCode string) (item *EdbInfo, err error) {
  248. o := orm.NewOrm()
  249. sql := ` SELECT * FROM edb_info WHERE source=? AND edb_code=? `
  250. err = o.Raw(sql, source, edbCode).QueryRow(&item)
  251. return
  252. }
  253. // GetEdbInfoOnlyByEdbCode 仅根据指标code获取指标信息
  254. func GetEdbInfoOnlyByEdbCode(edbCode string) (item *EdbInfo, err error) {
  255. o := orm.NewOrm()
  256. sql := ` SELECT * FROM edb_info WHERE edb_code=? `
  257. err = o.Raw(sql, edbCode).QueryRow(&item)
  258. return
  259. }
  260. // GetEdbInfoCalculateListByCondition 获取指标关系列表
  261. func GetEdbInfoCalculateListByCondition(condition string, pars []interface{}) (items []*EdbInfoCalculateMapping, err error) {
  262. o := orm.NewOrm()
  263. sql := ` SELECT * FROM edb_info_calculate_mapping WHERE 1=1 `
  264. if condition != "" {
  265. sql += condition
  266. }
  267. _, err = o.Raw(sql, pars).QueryRows(&items)
  268. return
  269. }
  270. // GetEdbInfoCalculateCountByCondition 获取关联指标数量
  271. func GetEdbInfoCalculateCountByCondition(condition string, pars []interface{}) (count int, err error) {
  272. o := orm.NewOrm()
  273. sql := ` SELECT COUNT(1) AS count FROM edb_info_calculate_mapping WHERE 1=1 `
  274. if condition != "" {
  275. sql += condition
  276. }
  277. err = o.Raw(sql, pars).QueryRow(&count)
  278. return
  279. }
  280. // 优化版本-处理数据精度问题
  281. type EdbInfoSearchDataV1 struct {
  282. EdbDataId int `description:"数据ID"`
  283. DataTime string `description:"数据日期"`
  284. Value string `description:"数据"`
  285. }
  286. // 优化版本-处理数据精度问题
  287. func GetEdbDataListAllV1(condition string, pars []interface{}, source, order int) (item []*EdbInfoSearchDataV1, err error) {
  288. o := orm.NewOrm()
  289. sql := ``
  290. tableName := GetEdbDataTableName(source)
  291. sql = ` SELECT * FROM %s WHERE 1=1 `
  292. sql = fmt.Sprintf(sql, tableName)
  293. if condition != "" {
  294. sql += condition
  295. }
  296. if order == 1 {
  297. sql += ` ORDER BY data_time ASC `
  298. } else {
  299. sql += ` ORDER BY data_time DESC `
  300. }
  301. _, err = o.Raw(sql, pars).QueryRows(&item)
  302. return
  303. }
  304. // GetEdbDataListAllV1ByTo 通过事务链接获取数据列表
  305. func GetEdbDataListAllV1ByTo(to orm.TxOrmer, condition string, pars []interface{}, source, order int) (item []*EdbInfoSearchDataV1, err error) {
  306. sql := ``
  307. tableName := GetEdbDataTableName(source)
  308. sql = ` SELECT * FROM %s WHERE 1=1 `
  309. sql = fmt.Sprintf(sql, tableName)
  310. if condition != "" {
  311. sql += condition
  312. }
  313. if order == 1 {
  314. sql += ` ORDER BY data_time ASC `
  315. } else {
  316. sql += ` ORDER BY data_time DESC `
  317. }
  318. _, err = to.Raw(sql, pars).QueryRows(&item)
  319. return
  320. }
  321. // GetEdbInfoByCondition 获取指标列表
  322. func GetEdbInfoByCondition(condition string, pars []interface{}, order int) (item []*EdbInfo, err error) {
  323. o := orm.NewOrm()
  324. sql := ` SELECT * FROM edb_info WHERE 1=1 `
  325. if condition != "" {
  326. sql += condition
  327. }
  328. if order == 1 {
  329. sql += ` ORDER BY end_date ASC `
  330. } else {
  331. sql += ` ORDER BY edb_info_id ASC `
  332. }
  333. _, err = o.Raw(sql, pars).QueryRows(&item)
  334. return
  335. }
  336. // UnifiedModifyEdbInfoMaxAndMinInfo 统一修改指标的最大最小值
  337. func UnifiedModifyEdbInfoMaxAndMinInfo(edbInfo *EdbInfo) (err error, errMsg string) {
  338. // 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
  339. if edbInfo.ManualSave == 1 {
  340. return
  341. }
  342. // 修改最大最小值
  343. maxAndMinItem, err := GetEdbInfoMaxAndMinInfo(edbInfo.Source, edbInfo.EdbCode)
  344. if err != nil {
  345. if err.Error() == utils.ErrNoRow() {
  346. err = nil
  347. return
  348. }
  349. errMsg = "刷新指标失败!"
  350. err = errors.New("获取指标最大最小值失败,err:" + err.Error())
  351. return
  352. }
  353. if maxAndMinItem != nil {
  354. err = ModifyEdbInfoMaxAndMinInfo(edbInfo.EdbInfoId, maxAndMinItem)
  355. if err != nil {
  356. errMsg = "刷新指标失败!"
  357. err = errors.New("修改指标最大最小值失败,err:" + err.Error())
  358. return
  359. }
  360. }
  361. // 修改关联的预测指标
  362. go ModifyPredictEdbInfoMaxAndMinInfoBySourceEdbInfoId(edbInfo.EdbInfoId, maxAndMinItem)
  363. return
  364. }
  365. // UnifiedModifyPredictEdbInfoMaxAndMinInfo 统一修改预测运算指标的最大最小值
  366. func UnifiedModifyPredictEdbInfoMaxAndMinInfo(edbInfo *EdbInfo, latestDateStr string, latestValue float64) (err error, errMsg string) {
  367. // 修改最大最小值
  368. maxAndMinItem, err := GetEdbInfoMaxAndMinInfo(edbInfo.Source, edbInfo.EdbCode)
  369. if err != nil {
  370. if err.Error() == utils.ErrNoRow() {
  371. err = nil
  372. return
  373. }
  374. errMsg = "刷新指标失败!"
  375. err = errors.New("获取指标最大最小值失败,err:" + err.Error())
  376. return
  377. }
  378. if maxAndMinItem != nil {
  379. maxAndMinItem.LatestDate = latestDateStr
  380. maxAndMinItem.LatestValue = latestValue
  381. err = ModifyPredictEdbInfoMaxAndMinInfo(edbInfo.EdbInfoId, maxAndMinItem)
  382. if err != nil {
  383. errMsg = "刷新指标失败!"
  384. err = errors.New("修改指标最大最小值失败,err:" + err.Error())
  385. return
  386. }
  387. }
  388. return
  389. }
  390. // GetChartPredictEdbInfoDataListByConfList 获取图表的预测指标的未来数据
  391. func GetChartPredictEdbInfoDataListByConfList(predictEdbConfList []*PredictEdbConfAndData, filtrateStartDateStr, latestDateStr, endDateStr, frequency, dataDateType string, realPredictEdbInfoData []*EdbInfoSearchData) (predictEdbInfoData []*EdbInfoSearchData, minValue, maxValue float64, err error) {
  392. endDate, err := time.ParseInLocation(utils.FormatDate, endDateStr, time.Local)
  393. if err != nil {
  394. return
  395. }
  396. latestDate, err := time.ParseInLocation(utils.FormatDate, latestDateStr, time.Local)
  397. if err != nil {
  398. return
  399. }
  400. // 开始预测数据的时间
  401. startDate := latestDate
  402. // 如果有筛选时间的话
  403. if filtrateStartDateStr != `` {
  404. filtrateStartDate, tmpErr := time.ParseInLocation(utils.FormatDate, filtrateStartDateStr, time.Local)
  405. if tmpErr != nil {
  406. err = tmpErr
  407. return
  408. }
  409. //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
  410. if filtrateStartDate.After(latestDate) {
  411. startDate = filtrateStartDate.AddDate(0, 0, -1)
  412. }
  413. }
  414. //var dateArr []string
  415. // 对应日期的值
  416. existMap := make(map[string]float64)
  417. for _, v := range realPredictEdbInfoData {
  418. //dateArr = append(dateArr, v.DataTime)
  419. existMap[v.DataTime] = v.Value
  420. }
  421. predictEdbInfoData = make([]*EdbInfoSearchData, 0)
  422. //dataValue := lastDataValue
  423. //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
  424. for _, predictEdbConf := range predictEdbConfList {
  425. dataEndTime := endDate
  426. if predictEdbConf.EndDate.Before(dataEndTime) {
  427. dataEndTime = predictEdbConf.EndDate
  428. }
  429. var tmpMinValue, tmpMaxValue float64 // 当前预测结果中的最大/最小值
  430. dayList := getPredictEdbDayList(startDate, dataEndTime, frequency, dataDateType)
  431. 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
  432. continue
  433. }
  434. switch predictEdbConf.RuleType {
  435. case 1: //1:最新
  436. var lastDataValue float64 //最新值
  437. tmpAllData := make([]*EdbInfoSearchData, 0)
  438. tmpAllData = append(tmpAllData, realPredictEdbInfoData...)
  439. tmpAllData = append(tmpAllData, predictEdbInfoData...)
  440. lenTmpAllData := len(tmpAllData)
  441. if lenTmpAllData > 0 {
  442. lastDataValue = tmpAllData[lenTmpAllData-1].Value
  443. }
  444. predictEdbInfoData = GetChartPredictEdbInfoDataListByRule1(predictEdbConf.PredictEdbInfoId, lastDataValue, dayList, predictEdbInfoData, existMap)
  445. tmpMaxValue = lastDataValue
  446. tmpMinValue = lastDataValue
  447. case 2: //2:固定值
  448. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  449. if tmpErr != nil {
  450. err = tmpErr
  451. return
  452. }
  453. dataValue, _ := tmpValDecimal.Float64()
  454. predictEdbInfoData = GetChartPredictEdbInfoDataListByRule1(predictEdbConf.PredictEdbInfoId, dataValue, dayList, predictEdbInfoData, existMap)
  455. tmpMaxValue = dataValue
  456. tmpMinValue = dataValue
  457. case 3: //3:同比
  458. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  459. if tmpErr != nil {
  460. err = tmpErr
  461. return
  462. }
  463. tbValue, _ := tmpValDecimal.Float64()
  464. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleTb(predictEdbConf.PredictEdbInfoId, tbValue, dayList, frequency, realPredictEdbInfoData, predictEdbInfoData, existMap)
  465. case 4: //4:同差
  466. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  467. if tmpErr != nil {
  468. err = tmpErr
  469. return
  470. }
  471. tcValue, _ := tmpValDecimal.Float64()
  472. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleTc(predictEdbConf.PredictEdbInfoId, tcValue, dayList, frequency, realPredictEdbInfoData, predictEdbInfoData, existMap)
  473. case 5: //5:环比
  474. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  475. if tmpErr != nil {
  476. err = tmpErr
  477. return
  478. }
  479. hbValue, _ := tmpValDecimal.Float64()
  480. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleHb(predictEdbConf.PredictEdbInfoId, hbValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  481. case 6: //6:环差
  482. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  483. if tmpErr != nil {
  484. err = tmpErr
  485. return
  486. }
  487. hcValue, _ := tmpValDecimal.Float64()
  488. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleHc(predictEdbConf.PredictEdbInfoId, hcValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  489. case 7: //7:N期移动均值
  490. nValue, tmpErr := strconv.Atoi(predictEdbConf.Value)
  491. if tmpErr != nil {
  492. err = tmpErr
  493. return
  494. }
  495. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleNMoveMeanValue(predictEdbConf.PredictEdbInfoId, nValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  496. case 8: //8:N期段线性外推值
  497. nValue, tmpErr := strconv.Atoi(predictEdbConf.Value)
  498. if tmpErr != nil {
  499. err = tmpErr
  500. return
  501. }
  502. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleNLinearRegression(predictEdbConf.PredictEdbInfoId, nValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  503. if err != nil {
  504. return
  505. }
  506. case 9: //9:动态环差”预测规则;
  507. hcDataMap := make(map[string]float64) //规则计算的环差值map
  508. if predictEdbConf.PredictEdbInfoId > 0 {
  509. tmpPredictEdbRuleDataList, tmpErr := GetPredictEdbRuleDataItemList(predictEdbConf.PredictEdbInfoId, predictEdbConf.ConfigId, startDate.Format(utils.FormatDate), endDate.Format(utils.FormatDate))
  510. if tmpErr != nil {
  511. err = tmpErr
  512. return
  513. }
  514. for _, v := range tmpPredictEdbRuleDataList {
  515. hcDataMap[v.DataTime] = v.Value
  516. }
  517. } else {
  518. if len(predictEdbConf.DataList) <= 0 {
  519. return
  520. }
  521. for _, v := range predictEdbConf.DataList {
  522. currentDate, tmpErr := time.ParseInLocation(utils.FormatDate, v.DataTime, time.Local)
  523. if tmpErr != nil {
  524. continue
  525. }
  526. // 只处理时间段内的数据
  527. if currentDate.Before(startDate) || currentDate.After(endDate) {
  528. continue
  529. }
  530. hcDataMap[v.DataTime] = v.Value
  531. }
  532. }
  533. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleTrendsHC(predictEdbConf.PredictEdbInfoId, dayList, realPredictEdbInfoData, predictEdbInfoData, hcDataMap, existMap)
  534. case 10: //10:根据 给定终值后插值 规则获取预测数据
  535. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  536. if tmpErr != nil {
  537. err = tmpErr
  538. return
  539. }
  540. finalValue, _ := tmpValDecimal.Float64()
  541. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleFinalValueHc(predictEdbConf.PredictEdbInfoId, finalValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  542. case 11: //11:根据 季节性 规则获取预测数据
  543. var seasonConf SeasonConf
  544. tmpErr := json.Unmarshal([]byte(predictEdbConf.Value), &seasonConf)
  545. if tmpErr != nil {
  546. err = errors.New("季节性配置信息异常:" + tmpErr.Error())
  547. return
  548. }
  549. calendar := "公历"
  550. if seasonConf.Calendar == "农历" {
  551. calendar = "农历"
  552. }
  553. yearList := make([]int, 0)
  554. //选择方式,1:连续N年;2:指定年份
  555. if seasonConf.YearType == 1 {
  556. if seasonConf.NValue < 1 {
  557. err = errors.New("连续N年不允许小于1")
  558. return
  559. }
  560. currYear := time.Now().Year()
  561. for i := 0; i < seasonConf.NValue; i++ {
  562. yearList = append(yearList, currYear-i-1)
  563. }
  564. } else {
  565. yearList = seasonConf.YearList
  566. }
  567. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleSeason(predictEdbConf.PredictEdbInfoId, yearList, calendar, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  568. if err != nil {
  569. return
  570. }
  571. case 12: //12:根据 移动平均同比 规则获取预测数据
  572. var moveAverageConf MoveAverageConf
  573. tmpErr := json.Unmarshal([]byte(predictEdbConf.Value), &moveAverageConf)
  574. if tmpErr != nil {
  575. err = errors.New("季节性配置信息异常:" + tmpErr.Error())
  576. return
  577. }
  578. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleMoveAverageTb(predictEdbConf.PredictEdbInfoId, moveAverageConf.NValue, moveAverageConf.Year, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  579. if err != nil {
  580. return
  581. }
  582. case 13: //13:根据 同比增速差值 规则获取预测数据
  583. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  584. if tmpErr != nil {
  585. err = tmpErr
  586. return
  587. }
  588. tbEndValue, _ := tmpValDecimal.Float64()
  589. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleTbzscz(predictEdbConf.PredictEdbInfoId, tbEndValue, dayList, frequency, realPredictEdbInfoData, predictEdbInfoData, existMap)
  590. case 14: //14:根据 一元线性拟合 规则获取预测数据
  591. var ruleConf RuleLineNhConf
  592. err = json.Unmarshal([]byte(predictEdbConf.Value), &ruleConf)
  593. if err != nil {
  594. err = errors.New("一元线性拟合规则配置信息异常:" + err.Error())
  595. return
  596. }
  597. // 规则计算的拟合残差值map
  598. newNhccDataMap := make(map[string]float64)
  599. if predictEdbConf.PredictEdbInfoId > 0 { //已经生成的动态数据
  600. tmpPredictEdbRuleDataList, tmpErr := GetPredictEdbRuleDataItemList(predictEdbConf.PredictEdbInfoId, predictEdbConf.ConfigId, startDate.Format(utils.FormatDate), endDate.Format(utils.FormatDate))
  601. if tmpErr != nil {
  602. err = tmpErr
  603. return
  604. }
  605. for _, v := range tmpPredictEdbRuleDataList {
  606. newNhccDataMap[v.DataTime] = v.Value
  607. }
  608. } else { //未生成的动态数据,需要使用外部传入的数据进行计算
  609. newNhccDataMap, err, _ = getCalculateNhccData(append(realPredictEdbInfoData, predictEdbInfoData...), ruleConf)
  610. }
  611. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleLineNh(predictEdbConf.PredictEdbInfoId, dayList, realPredictEdbInfoData, predictEdbInfoData, newNhccDataMap, existMap)
  612. if err != nil {
  613. return
  614. }
  615. 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;
  616. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleNAnnualAverage(predictEdbConf.PredictEdbInfoId, predictEdbConf.Value, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  617. if err != nil {
  618. return
  619. }
  620. case 16: //16:年度值倒推
  621. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleAnnualValueInversion(predictEdbConf.PredictEdbInfoId, predictEdbConf.Value, dayList, frequency, realPredictEdbInfoData, predictEdbInfoData, existMap)
  622. if err != nil {
  623. return
  624. }
  625. }
  626. // 下一个规则的开始日期
  627. {
  628. lenPredictEdbInfoData := len(predictEdbInfoData)
  629. if lenPredictEdbInfoData > 0 {
  630. tmpDataEndTime, _ := time.ParseInLocation(utils.FormatDate, predictEdbInfoData[lenPredictEdbInfoData-1].DataTime, time.Local)
  631. if startDate.Before(tmpDataEndTime) {
  632. startDate = tmpDataEndTime
  633. }
  634. }
  635. }
  636. if tmpMinValue < minValue {
  637. minValue = tmpMinValue
  638. }
  639. if tmpMaxValue < maxValue {
  640. maxValue = tmpMaxValue
  641. }
  642. }
  643. return
  644. }
  645. // GetPredictEdbDayList 获取预测指标日期列表
  646. // GetPredictEdbDayList 获取预测指标日期列表
  647. func getPredictEdbDayList(startDate, endDate time.Time, frequency, dataDateType string) (dayList []time.Time) {
  648. if dataDateType == `` {
  649. dataDateType = `交易日`
  650. }
  651. switch frequency {
  652. case "日度":
  653. for currDate := startDate.AddDate(0, 0, 1); currDate.Before(endDate) || currDate.Equal(endDate); currDate = currDate.AddDate(0, 0, 1) {
  654. // 如果日期类型是交易日的时候,那么需要将周六、日排除
  655. if dataDateType == `交易日` && (currDate.Weekday() == time.Sunday || currDate.Weekday() == time.Saturday) {
  656. continue
  657. }
  658. dayList = append(dayList, currDate)
  659. }
  660. case "周度":
  661. //nextDate := startDate.AddDate(0, 0, 7)
  662. for currDate := startDate.AddDate(0, 0, 7); currDate.Before(endDate) || currDate.Equal(endDate); currDate = currDate.AddDate(0, 0, 7) {
  663. dayList = append(dayList, currDate)
  664. }
  665. case "旬度":
  666. for currDate := startDate.AddDate(0, 0, 1); currDate.Before(endDate) || currDate.Equal(endDate); {
  667. nextDate := currDate.AddDate(0, 0, 1)
  668. //每个月的10号、20号、最后一天,那么就写入
  669. if nextDate.Day() == 11 || nextDate.Day() == 21 || nextDate.Day() == 1 {
  670. dayList = append(dayList, currDate)
  671. }
  672. currDate = nextDate
  673. }
  674. case "月度":
  675. for currDate := startDate; currDate.Before(endDate) || currDate.Equal(endDate); {
  676. currDate = time.Date(currDate.Year(), currDate.Month(), 1, 0, 0, 0, 0, time.Now().Location()).AddDate(0, 1, -1)
  677. if !currDate.After(endDate) && !currDate.Equal(startDate) {
  678. dayList = append(dayList, currDate)
  679. }
  680. currDate = currDate.AddDate(0, 0, 1)
  681. }
  682. case "季度":
  683. for currDate := startDate; currDate.Before(endDate) || currDate.Equal(endDate); {
  684. // 每月的最后一天
  685. currDate = time.Date(currDate.Year(), currDate.Month(), 1, 0, 0, 0, 0, time.Now().Location()).AddDate(0, 1, -1)
  686. if !currDate.After(endDate) && !currDate.Equal(startDate) {
  687. // 季度日期就写入,否则不写入
  688. if currDate.Month() == 3 || currDate.Month() == 6 || currDate.Month() == 9 || currDate.Month() == 12 {
  689. dayList = append(dayList, currDate)
  690. }
  691. }
  692. currDate = currDate.AddDate(0, 0, 1)
  693. }
  694. case "半年度":
  695. for currDate := startDate; currDate.Before(endDate) || currDate.Equal(endDate); {
  696. // 每月的最后一天
  697. currDate = time.Date(currDate.Year(), currDate.Month(), 1, 0, 0, 0, 0, time.Now().Location()).AddDate(0, 1, -1)
  698. if !currDate.After(endDate) && !currDate.Equal(startDate) {
  699. // 半年度日期就写入,否则不写入
  700. if currDate.Month() == 6 || currDate.Month() == 12 {
  701. dayList = append(dayList, currDate)
  702. }
  703. }
  704. currDate = currDate.AddDate(0, 0, 1)
  705. }
  706. case "年度":
  707. for currDate := startDate; currDate.Before(endDate) || currDate.Equal(endDate); {
  708. currDate = time.Date(currDate.Year()+1, 12, 31, 0, 0, 0, 0, time.Now().Location())
  709. if !currDate.After(endDate) && !currDate.Equal(startDate) {
  710. dayList = append(dayList, currDate)
  711. }
  712. }
  713. }
  714. return
  715. }
  716. // 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
  717. func GetPredictDataListByPredictEdbInfo(edbInfo *EdbInfo, order int, startDate string) (dataList []*EdbInfoSearchData, sourceEdbInfoItem *EdbInfo, err error, errMsg string) {
  718. // 查找该预测指标配置
  719. predictEdbConfList, err := GetPredictEdbConfAndDataListById(edbInfo.EdbInfoId)
  720. if err != nil && err.Error() != utils.ErrNoRow() {
  721. errMsg = "获取预测指标配置信息失败"
  722. return
  723. }
  724. if len(predictEdbConfList) == 0 {
  725. errMsg = "获取预测指标配置信息失败"
  726. err = errors.New(errMsg)
  727. return
  728. }
  729. predictEdbConf := predictEdbConfList[0]
  730. // 来源指标
  731. sourceEdbInfoItem, err = GetEdbInfoById(predictEdbConf.SourceEdbInfoId)
  732. if err != nil {
  733. if err.Error() == utils.ErrNoRow() {
  734. errMsg = "找不到来源指标信息"
  735. err = errors.New(errMsg)
  736. }
  737. return
  738. }
  739. dataList, err, errMsg = GetPredictDataListByPredictEdbConfList(edbInfo, sourceEdbInfoItem, predictEdbConfList, order, startDate)
  740. return
  741. }
  742. // 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
  743. func GetPredictDataListByPredictEdbConfList(edbInfo, sourceEdbInfoItem *EdbInfo, predictEdbConfList []*PredictEdbConfAndData, order int, startDate string) (dataList []*EdbInfoSearchData, err error, errMsg string) {
  744. allDataList := make([]*EdbInfoSearchData, 0)
  745. //获取指标数据(实际已生成)
  746. var condition string
  747. var pars []interface{}
  748. condition += " AND edb_info_id=? "
  749. pars = append(pars, sourceEdbInfoItem.EdbInfoId)
  750. if startDate != "" {
  751. condition += " AND data_time>=? "
  752. pars = append(pars, startDate)
  753. }
  754. tmpDataList, err := GetEdbDataListAll(condition, pars, sourceEdbInfoItem.Source, 1)
  755. if err != nil {
  756. return
  757. }
  758. // 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
  759. if startDate != `` {
  760. allDataList, err = GetEdbDataListAll(" AND edb_info_id=? ", []interface{}{sourceEdbInfoItem.EdbInfoId}, sourceEdbInfoItem.Source, 1)
  761. if err != nil {
  762. return
  763. }
  764. } else {
  765. allDataList = tmpDataList
  766. }
  767. // 获取预测指标未来的数据
  768. predictDataList := make([]*EdbInfoSearchData, 0)
  769. endDateStr := edbInfo.EndDate //预测指标的结束日期
  770. var predictMinValue, predictMaxValue float64
  771. // 如果有配置的预测规则,那么就进行预测
  772. if len(predictEdbConfList) > 0 {
  773. predictDataList, predictMinValue, predictMaxValue, err = GetChartPredictEdbInfoDataListByConfList(predictEdbConfList, startDate, sourceEdbInfoItem.LatestDate, endDateStr, edbInfo.Frequency, edbInfo.DataDateType, allDataList)
  774. if err != nil {
  775. return
  776. }
  777. }
  778. //order:1升序,其余值为降序
  779. if order == 1 {
  780. dataList = append(tmpDataList, predictDataList...)
  781. } else {
  782. // 先倒序预测数据
  783. lenPredictDataList := len(predictDataList)
  784. if lenPredictDataList > 0 {
  785. for k := range predictDataList {
  786. dataList = append(dataList, predictDataList[lenPredictDataList-k-1])
  787. }
  788. }
  789. // 接着倒序实际指标
  790. lenDataList := len(tmpDataList)
  791. for k := range tmpDataList {
  792. dataList = append(dataList, tmpDataList[lenDataList-k-1])
  793. }
  794. }
  795. if len(predictDataList) > 0 {
  796. // 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
  797. if edbInfo.MinValue > predictMinValue {
  798. edbInfo.MinValue = predictMinValue
  799. }
  800. // 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
  801. if edbInfo.MaxValue < predictMaxValue {
  802. edbInfo.MaxValue = predictMaxValue
  803. }
  804. }
  805. return
  806. }
  807. // GetPredictEdbDataListAll 获取该预测指标所有的数据 ,order:1升序,其余值为降序
  808. func GetPredictEdbDataListAll(edbInfo *EdbInfo, order int) (items []*EdbInfoSearchData, err error) {
  809. 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
  810. items, _, err, _ = GetPredictDataListByPredictEdbInfo(edbInfo, 1, "")
  811. } else {
  812. var condition string
  813. var pars []interface{}
  814. condition += " AND edb_info_id=? "
  815. pars = append(pars, edbInfo.EdbInfoId)
  816. items, err = GetEdbDataListAll(condition, pars, edbInfo.Source, order)
  817. }
  818. return
  819. }
  820. // 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
  821. func GetPredictEdbDataListAllByStartDate(edbInfo *EdbInfo, order int, startDate string) (items []*EdbInfoSearchData, err error) {
  822. 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
  823. items, _, err, _ = GetPredictDataListByPredictEdbInfo(edbInfo, order, startDate)
  824. } else {
  825. var condition string
  826. var pars []interface{}
  827. condition += " AND edb_info_id=? "
  828. pars = append(pars, edbInfo.EdbInfoId)
  829. if startDate != "" {
  830. condition += " AND data_time>=? "
  831. pars = append(pars, startDate)
  832. }
  833. items, err = GetEdbDataListAll(condition, pars, edbInfo.Source, order)
  834. }
  835. return
  836. }
  837. // ModifyPredictEdbInfoMaxAndMinInfo 修改预测指标的最新数据信息
  838. func ModifyPredictEdbInfoMaxAndMinInfo(edbInfoId int, item *EdbInfoMaxAndMinInfo) (err error) {
  839. o := orm.NewOrm()
  840. 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=? `
  841. _, err = o.Raw(sql, item.MinDate, item.MaxDate, item.MinValue, item.MaxValue, item.LatestDate, item.LatestValue, edbInfoId).Exec()
  842. return
  843. }
  844. // ModifyCalculateEdbInfo 修改计算指标信息
  845. func ModifyCalculateEdbInfo(edbName, frequency, unit, calculateFormula string, classifyId, edbInfoId int) (err error) {
  846. o := orm.NewOrm()
  847. sql := ` UPDATE edb_info
  848. SET
  849. edb_name =?,
  850. edb_name_source =?,
  851. frequency = ?,
  852. unit = ?,
  853. classify_id = ?,
  854. calculate_formula=?,
  855. modify_time = NOW()
  856. WHERE edb_info_id = ?`
  857. _, err = o.Raw(sql, edbName, edbName, frequency, unit, classifyId, calculateFormula, edbInfoId).Exec()
  858. return
  859. }
  860. func GetEdbInfoItemByCondition(condition string, pars []interface{}) (item *EdbInfoList, err error) {
  861. o := orm.NewOrm()
  862. sql := ` SELECT * FROM edb_info WHERE 1=1 `
  863. if condition != "" {
  864. sql += condition
  865. }
  866. err = o.Raw(sql, pars).QueryRow(&item)
  867. return
  868. }
  869. func GetEdbInfoItemListByCondition() (items []*EdbInfoList, err error) {
  870. o := orm.NewOrm()
  871. sql := ` SELECT * FROM edb_info WHERE 1=1 `
  872. _, err = o.Raw(sql).QueryRows(&items)
  873. return
  874. }
  875. // EdbInfoDetailReq 指标详情请求
  876. type EdbInfoDetailReq struct {
  877. UniqueCode string `description:"指标唯一编码"`
  878. EdbCode string `description:"指标编码"`
  879. }
  880. // EdbInfoDetailResp 指标详情返回
  881. type EdbInfoDetailResp struct {
  882. SourceName string `description:"来源名称"`
  883. EdbCode string `description:"指标编码"`
  884. EdbName string `description:"指标名称"`
  885. EdbNameSource string `description:"指标名称来源"`
  886. Frequency string `description:"频率"`
  887. Unit string `description:"单位"`
  888. StartDate string `description:"起始日期"`
  889. EndDate string `description:"终止日期"`
  890. UniqueCode string `description:"指标唯一编码"`
  891. CreateTime time.Time
  892. ModifyTime time.Time
  893. MinValue float64 `description:"指标最小值"`
  894. MaxValue float64 `description:"指标最大值"`
  895. EdbNameEn string `description:"英文指标名称"`
  896. UnitEn string `description:"英文单位"`
  897. LatestDate string `description:"数据最新日期"`
  898. LatestValue float64 `description:"数据最新值"`
  899. ChartImage string `description:"图表图片"`
  900. DataList []*EdbInfoSearchData
  901. }
  902. type AddEdbInfoParams struct {
  903. Source int `description:"来源id"`
  904. EdbCode string `description:"指标编码"`
  905. EdbName string `description:"指标名称"`
  906. Frequency string `description:"频率"`
  907. Unit string `description:"单位"`
  908. ClassifyId int `description:"分类id"`
  909. }
  910. // EdbInfoAdd 添加指标到指标库
  911. func EdbInfoAdd(req *AddEdbInfoParams, serverUrl string, sysUserId int, sysUserRealName string) (edbInfo *EdbInfo, err error) {
  912. source := req.Source
  913. //判断指标名称是否存在
  914. var condition string
  915. var pars []interface{}
  916. //condition += " AND source=? "
  917. //pars = append(pars, source)
  918. condition += " AND edb_code=? "
  919. pars = append(pars, req.EdbCode)
  920. items, err := GetEdbInfoByCondition(condition, pars, 0)
  921. if err != nil {
  922. err = errors.New("判断指标是否存在失败,Err:" + err.Error())
  923. return
  924. }
  925. if len(items) > 0 {
  926. sql := ` UPDATE edb_info SET classify_id=?,modify_time=NOW() WHERE edb_code=? `
  927. o := orm.NewOrm()
  928. _, err = o.Raw(sql, req.ClassifyId, req.EdbCode).Exec()
  929. if err != nil {
  930. err = errors.New("更新指标分类信息失败,Err:" + err.Error())
  931. return
  932. }
  933. edbInfo = items[0]
  934. return
  935. }
  936. edbInfo = new(EdbInfo)
  937. edbInfo.Source = source
  938. sourceNameMap := map[int]string{
  939. utils.DATA_SOURCE_THS: "同花顺",
  940. utils.DATA_SOURCE_WIND: "wind",
  941. utils.DATA_SOURCE_PB: "彭博",
  942. utils.DATA_SOURCE_PB_FINANCE: "彭博财务",
  943. utils.DATA_SOURCE_MANUAL: "手工数据",
  944. utils.DATA_SOURCE_LZ: "隆众",
  945. utils.DATA_SOURCE_YS: "SMM",
  946. utils.DATA_SOURCE_GL: "钢联",
  947. utils.DATA_SOURCE_ZZ: "郑商所",
  948. utils.DATA_SOURCE_DL: "大商所",
  949. utils.DATA_SOURCE_SH: "上期所",
  950. utils.DATA_SOURCE_CFFEX: "中金所",
  951. utils.DATA_SOURCE_SHFE: "上期能源",
  952. utils.DATA_SOURCE_GIE: "欧洲天然气",
  953. utils.DATA_SOURCE_LT: "路透",
  954. utils.DATA_SOURCE_COAL: "中国煤炭网",
  955. utils.DATA_SOURCE_GOOGLE_TRAVEL: "our world in data",
  956. utils.DATA_SOURCE_MYSTEEL_CHEMICAL: "钢联化工",
  957. utils.DATA_SOURCE_EIA_STEO: "EIA STEO报告",
  958. utils.DATA_SOURCE_COM_TRADE: "UN",
  959. utils.DATA_SOURCE_SCI: "SCI",
  960. utils.DATA_SOURCE_BAIINFO: "BAIINFO",
  961. utils.DATA_SOURCE_STOCK_PLANT: "存量装置",
  962. utils.DATA_SOURCE_NATIONAL_STATISTICS: "国家统计局",
  963. utils.DATA_SOURCE_FUBAO: "富宝数据",
  964. }
  965. sourceName, ok := sourceNameMap[source]
  966. if !ok {
  967. err = errors.New("指标来源异常")
  968. return
  969. }
  970. edbInfo.SourceName = sourceName
  971. edbType := 1 //基础指标
  972. if source == utils.DATA_SOURCE_STOCK_PLANT {
  973. edbType = 2 //计算指标
  974. }
  975. edbInfo.EdbCode = req.EdbCode
  976. edbInfo.EdbName = req.EdbName
  977. edbInfo.EdbNameSource = req.EdbName
  978. edbInfo.Frequency = req.Frequency
  979. edbInfo.Unit = req.Unit
  980. edbInfo.ClassifyId = req.ClassifyId
  981. edbInfo.SysUserId = sysUserId
  982. edbInfo.SysUserRealName = sysUserRealName
  983. edbInfo.StartDate = "1990-01-01"
  984. edbInfo.CreateTime = time.Now()
  985. edbInfo.ModifyTime = time.Now()
  986. edbInfo.ServerUrl = serverUrl
  987. timestamp := strconv.FormatInt(time.Now().UnixNano(), 10)
  988. edbInfo.UniqueCode = utils.MD5(utils.DATA_PREFIX + "_" + timestamp)
  989. itemVal, err := GetEdbInfoMaxAndMinInfo(source, req.EdbCode)
  990. if itemVal != nil && err == nil {
  991. edbInfo.MaxValue = itemVal.MaxValue
  992. edbInfo.MinValue = itemVal.MinValue
  993. }
  994. edbInfo.EdbType = edbType
  995. edbInfoId, err := AddEdbInfo(edbInfo)
  996. if err != nil {
  997. err = errors.New("保存失败,Err:" + err.Error())
  998. return
  999. }
  1000. edbInfo.EdbInfoId = int(edbInfoId)
  1001. return
  1002. }
  1003. // EdbInfoRefreshCheckReq 指标数据更新情况查询
  1004. type EdbInfoRefreshCheckReq struct {
  1005. Source int `description:"来源id"`
  1006. LatestDate string `description:"数据最新日期"`
  1007. FrequencyBatch string `description:"更新频度"`
  1008. }
  1009. // EdbInfoRefreshCheckResp 指标数据更新情况查询
  1010. type EdbInfoRefreshCheckResp struct {
  1011. UpdateNum int `description:"已更新指标数"`
  1012. UnUpdateNum int `description:"未更新指标数"`
  1013. }