edb_info.go 48 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(实际日期)"`
  39. LatestValue float64 `description:"数据最新值(实际值)"`
  40. EndValue float64 `description:"数据的最新值(预测日期的最新值)"`
  41. MoveType int `description:"移动方式:1:领先(默认),2:滞后"`
  42. MoveFrequency string `description:"移动频度"`
  43. NoUpdate int8 `description:"是否停止更新,0:继续更新;1:停止更新"`
  44. ServerUrl string `description:"服务器地址"`
  45. ChartImage string `description:"图表图片"`
  46. Calendar string `description:"公历/农历" orm:"default(公历);"`
  47. EmptyType int `description:"空值处理类型(0查找前后35天,1不计算,2前值填充,3后值填充,4等于0)"`
  48. MaxEmptyType int `description:"MAX、MIN公式空值处理类型(1、等于0;2、跳过空值)"`
  49. DataDateType string `orm:"column(data_date_type);size(255);null;default(交易日)"`
  50. ManualSave int `description:"是否有手动保存过上下限: 0-否; 1-是"`
  51. TerminalCode string `description:"终端编码,用于配置在机器上"`
  52. DataUpdateTime string `description:"最近一次数据发生变化的时间"`
  53. ErDataUpdateDate string `description:"本次更新,数据发生变化的最早日期"`
  54. SourceIndexName string `description:"数据源中的指标名称"`
  55. SubSource int `description:"子数据来源:0:经济数据库,1:日期序列"`
  56. SubSourceName string `description:"子数据来源名称"`
  57. IndicatorCode string `description:"指标代码"`
  58. StockCode string `description:"证券代码"`
  59. }
  60. func (e *EdbInfo) Add() (err error) {
  61. o := orm.NewOrm()
  62. _, err = o.Insert(e)
  63. return
  64. }
  65. // AddEdbInfo 添加指标
  66. func AddEdbInfo(item *EdbInfo) (lastId int64, err error) {
  67. o := orm.NewOrm()
  68. lastId, err = o.Insert(item)
  69. return
  70. }
  71. // EdbInfoList 指标数据列表
  72. type EdbInfoList struct {
  73. EdbInfoId int `orm:"column(edb_info_id);pk"`
  74. EdbInfoType int `description:"指标类型,0:普通指标,1:预测指标"`
  75. SourceName string `description:"来源名称"`
  76. Source int `description:"来源id"`
  77. EdbCode string `description:"指标编码"`
  78. EdbNameEn string `description:"英文指标名称"`
  79. EdbName string `description:"指标名称"`
  80. Frequency string `description:"频率"`
  81. FrequencyEn string `description:"英文频率"`
  82. Unit string `description:"单位"`
  83. UnitEn string `description:"英文单位"`
  84. StartDate string `description:"起始日期"`
  85. EndDate string `description:"终止日期"`
  86. LatestDate string `description:"数据最新日期(实际日期)"`
  87. LatestValue float64 `description:"数据最新值(实际值)"`
  88. EndValue float64 `description:"数据的最新值(预测日期的最新值)"`
  89. ClassifyId int `description:"分类id"`
  90. UniqueCode string `description:"指标唯一编码"`
  91. SysUserId int `description:"创建人id"`
  92. SysUserRealName string `description:"创建人姓名"`
  93. ModifyTime string `description:"最新修改时间"`
  94. CreateTime string `description:"创建时间"`
  95. EdbNameAlias string `json:"-" description:"指标名称,别名"`
  96. EdbType int `description:"指标类型:1:基础指标,2:计算指标"`
  97. ChartImage string `description:"图表图片"`
  98. RuleType int `description:"预测规则,1:最新,2:固定值"`
  99. FixedValue float64 `description:"固定值"`
  100. DataList []*EdbData `description:"实际指标数据"`
  101. PredictDataList []*EdbData `description:"预测指标数据"`
  102. Button EdbClassifyItemsButton `description:"操作权限"`
  103. IsEnEdb bool `description:"是否展示英文标识"`
  104. DataDateType string `description:"数据日期类型,枚举值:交易日、自然日"`
  105. EmptyType int `description:"空值处理类型(0查找前后35天,1不计算,2前值填充,3后值填充,4等于0)"`
  106. MaxEmptyType int `description:"MAX、MIN公式空值处理类型(1、等于0;2、跳过空值)"`
  107. SubSource int `description:"子数据来源:0:经济数据库,1:日期序列"`
  108. SubSourceName string `description:"子数据来源名称"`
  109. IndicatorCode string `description:"指标代码"`
  110. StockCode string `description:"证券代码"`
  111. NoUpdate int8 `description:"是否停止更新,0:继续更新;1:停止更新"`
  112. }
  113. // EdbClassifyItemsButton 操作按钮
  114. type EdbClassifyItemsButton struct {
  115. AddButton bool `description:"是否可添加"`
  116. OpButton bool `description:"是否可编辑"`
  117. DeleteButton bool `description:"是否可删除"`
  118. MoveButton bool `description:"是否可移动"`
  119. ShowEdbRelation bool `description:"是否展示关联指标"`
  120. ShowChartRelation bool `description:"是否展示关联图表"`
  121. }
  122. // GetEdbInfoByName 根据指标名称获取所有的指标数据列表
  123. func GetEdbInfoByName(edbName string) (items []*EdbInfoList, err error) {
  124. o := orm.NewOrm()
  125. sql := ` SELECT * FROM edb_info WHERE edb_name=? `
  126. _, err = o.Raw(sql, edbName).QueryRows(&items)
  127. return
  128. }
  129. // ModifyEdbInfoNameSource 根据来源修改指标名称
  130. func ModifyEdbInfoNameSource(edbNameSource string, edbInfoId int) (err error) {
  131. o := orm.NewOrm()
  132. sql := ` UPDATE edb_info SET edb_name_source=? WHERE edb_info_id = ? `
  133. _, err = o.Raw(sql, edbNameSource, edbInfoId).Exec()
  134. return
  135. }
  136. // GetEdbInfoById 根据指标id获取指标信息
  137. func GetEdbInfoById(edbInfoId int) (item *EdbInfo, err error) {
  138. o := orm.NewOrm()
  139. sql := ` SELECT * FROM edb_info WHERE edb_info_id=? `
  140. err = o.Raw(sql, edbInfoId).QueryRow(&item)
  141. return
  142. }
  143. // GetEdbInfoByUniqueCode 根据指标唯一编码获取指标信息
  144. func GetEdbInfoByUniqueCode(uniqueCode string) (item *EdbInfo, err error) {
  145. o := orm.NewOrm()
  146. sql := ` SELECT * FROM edb_info WHERE unique_code=? `
  147. err = o.Raw(sql, uniqueCode).QueryRow(&item)
  148. return
  149. }
  150. // GetEdbInfoByIdList 根据指标id列表获取指标信息
  151. func GetEdbInfoByIdList(edbInfoIdList []int) (items []*EdbInfo, err error) {
  152. num := len(edbInfoIdList)
  153. if num <= 0 {
  154. return
  155. }
  156. o := orm.NewOrm()
  157. sql := ` SELECT * FROM edb_info WHERE edb_info_id in (` + utils.GetOrmInReplace(num) + `) `
  158. _, err = o.Raw(sql, edbInfoIdList).QueryRows(&items)
  159. return
  160. }
  161. // Update 更新EdbInfo信息
  162. func (edbInfo *EdbInfo) Update(cols []string) (err error) {
  163. o := orm.NewOrm()
  164. _, err = o.Update(edbInfo, cols...)
  165. return
  166. }
  167. // EdbInfoSearchData
  168. type EdbInfoSearchData struct {
  169. EdbDataId int `description:"数据ID"`
  170. DataTime string `description:"数据日期"`
  171. Value float64 `description:"数据"`
  172. EdbCode string `description:"指标编码"`
  173. }
  174. // GetEdbDataListAll 获取指标数据列表 order:1升序,其余值为降序
  175. func GetEdbDataListAll(condition string, pars []interface{}, source, subSource, order int) (item []*EdbInfoSearchData, err error) {
  176. o := orm.NewOrm()
  177. sql := ``
  178. tableName := GetEdbDataTableName(source, subSource)
  179. sql = ` SELECT * FROM %s WHERE 1=1 `
  180. sql = fmt.Sprintf(sql, tableName)
  181. if condition != "" {
  182. sql += condition
  183. }
  184. if order == 1 {
  185. sql += ` ORDER BY data_time ASC `
  186. } else {
  187. sql += ` ORDER BY data_time DESC `
  188. }
  189. _, err = o.Raw(sql, pars).QueryRows(&item)
  190. return
  191. }
  192. // 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
  193. func GetEdbDataListAllByTo(to orm.TxOrmer, condition string, pars []interface{}, source, subSource, order int) (item []*EdbInfoSearchData, err error) {
  194. sql := ``
  195. tableName := GetEdbDataTableName(source, subSource)
  196. sql = ` SELECT * FROM %s WHERE 1=1 `
  197. sql = fmt.Sprintf(sql, tableName)
  198. if condition != "" {
  199. sql += condition
  200. }
  201. if order == 1 {
  202. sql += ` ORDER BY data_time ASC `
  203. } else {
  204. sql += ` ORDER BY data_time DESC `
  205. }
  206. _, err = to.Raw(sql, pars).QueryRows(&item)
  207. return
  208. }
  209. // EdbInfoMaxAndMinInfo 指标最新数据记录结构体
  210. type EdbInfoMaxAndMinInfo struct {
  211. MinDate string `description:"最小日期"`
  212. MaxDate string `description:"最大日期"`
  213. MinValue float64 `description:"最小值"`
  214. MaxValue float64 `description:"最大值"`
  215. LatestValue float64 `description:"最新值"`
  216. LatestDate string `description:"实际数据最新日期"`
  217. EndValue float64 `description:"最新值"`
  218. }
  219. // GetEdbInfoMaxAndMinInfo 获取指标的最新数据记录信息
  220. func GetEdbInfoMaxAndMinInfo(source, subSource int, edbCode string) (item *EdbInfoMaxAndMinInfo, err error) {
  221. o := orm.NewOrm()
  222. sql := ``
  223. tableName := GetEdbDataTableName(source, subSource)
  224. 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=? `
  225. sql = fmt.Sprintf(sql, tableName)
  226. err = o.Raw(sql, edbCode).QueryRow(&item)
  227. var latest_value float64
  228. sql = ` SELECT value AS latest_value FROM %s WHERE edb_code=? ORDER BY data_time DESC LIMIT 1 `
  229. sql = fmt.Sprintf(sql, tableName)
  230. err = o.Raw(sql, edbCode).QueryRow(&latest_value)
  231. item.LatestValue = latest_value
  232. return
  233. }
  234. type EdbIndoDataUpdateTime struct {
  235. MinDate string `description:"本次更新,数据发生变化的最早日期"`
  236. }
  237. // GetEdbDataUpdateTimeByModify 获取指标的刷新时间获取最早的一条记录
  238. func GetEdbDataUpdateTimeByModify(source, subSource int, edbCode string, dataUpdateTime string) (item *EdbIndoDataUpdateTime, err error) {
  239. o := orm.NewOrm()
  240. sql := ``
  241. tableName := GetEdbDataTableName(source, subSource)
  242. sql = ` SELECT MIN(data_time) AS min_date FROM %s WHERE edb_code=? and modify_time>=?`
  243. sql = fmt.Sprintf(sql, tableName)
  244. err = o.Raw(sql, edbCode, dataUpdateTime).QueryRow(&item)
  245. return
  246. }
  247. // ModifyEdbInfoMaxAndMinInfo 修改指标的最新数据信息
  248. func ModifyEdbInfoMaxAndMinInfo(edbInfoId int, item *EdbInfoMaxAndMinInfo) (err error) {
  249. o := orm.NewOrm()
  250. sql := ` UPDATE edb_info SET start_date=?,end_date=?,min_value=?,max_value=?,is_update=2,latest_date=?,latest_value=?, end_value = ?,modify_time=NOW() WHERE edb_info_id=? `
  251. _, err = o.Raw(sql, item.MinDate, item.MaxDate, item.MinValue, item.MaxValue, item.MaxDate, item.LatestValue, item.LatestValue, edbInfoId).Exec()
  252. return
  253. }
  254. // ModifyEdbTimeAndLastInfo 修改指标的最新数据信息(除上下限)
  255. func ModifyEdbTimeAndLastInfo(edbInfoId int, item *EdbInfoMaxAndMinInfo) (err error) {
  256. o := orm.NewOrm()
  257. sql := `UPDATE edb_info SET start_date = ?, end_date = ?, is_update = 2,latest_date = ?, latest_value = ?, end_value = ?, modify_time = NOW() WHERE edb_info_id = ?`
  258. _, err = o.Raw(sql, item.MinDate, item.MaxDate, item.MaxDate, item.LatestValue, item.LatestValue, edbInfoId).Exec()
  259. return
  260. }
  261. // ModifyEdbDataUpdateTime 修改指标刷新,本次数据刷新的最早日期
  262. func ModifyEdbDataUpdateTime(edbInfoId int, dataUpdateTime, erDataUpdateDate string) (err error) {
  263. o := orm.NewOrm()
  264. sql := `UPDATE edb_info SET data_update_time = ?, er_data_update_date = ?, modify_time = NOW() WHERE edb_info_id = ?`
  265. _, err = o.Raw(sql, dataUpdateTime, erDataUpdateDate, edbInfoId).Exec()
  266. return
  267. }
  268. // GetEdbDataCount 获取edb指标数据的数量; order:1升序,其余值为降序
  269. func GetEdbDataCount(condition string, pars []interface{}, source, subSource int) (count int, err error) {
  270. o := orm.NewOrm()
  271. sql := ``
  272. tableName := GetEdbDataTableName(source, subSource)
  273. sql = ` SELECT COUNT(1) AS count FROM %s WHERE 1=1 `
  274. sql = fmt.Sprintf(sql, tableName)
  275. if condition != "" {
  276. sql += condition
  277. }
  278. err = o.Raw(sql, pars).QueryRow(&count)
  279. return
  280. }
  281. // GetLastEdbData 获取最近的一条指标数据
  282. func GetLastEdbData(condition string, pars []interface{}, source, subSource int) (item *EdbInfoSearchData, err error) {
  283. o := orm.NewOrm()
  284. sql := ``
  285. tableName := GetEdbDataTableName(source, subSource)
  286. sql = ` SELECT * FROM %s WHERE 1=1 `
  287. sql = fmt.Sprintf(sql, tableName)
  288. if condition != "" {
  289. sql += condition
  290. }
  291. sql += ` ORDER BY data_time DESC `
  292. err = o.Raw(sql, pars).QueryRow(&item)
  293. return
  294. }
  295. // GetEdbInfoByEdbCode 根据指标code获取指标信息
  296. func GetEdbInfoByEdbCode(source int, edbCode string) (item *EdbInfo, err error) {
  297. o := orm.NewOrm()
  298. sql := ` SELECT * FROM edb_info WHERE source=? AND edb_code=? `
  299. err = o.Raw(sql, source, edbCode).QueryRow(&item)
  300. return
  301. }
  302. // GetEdbInfoOnlyByEdbCode 仅根据指标code获取指标信息
  303. func GetEdbInfoOnlyByEdbCode(edbCode string) (item *EdbInfo, err error) {
  304. o := orm.NewOrm()
  305. sql := ` SELECT * FROM edb_info WHERE edb_code=? `
  306. err = o.Raw(sql, edbCode).QueryRow(&item)
  307. return
  308. }
  309. // GetEdbInfoCalculateListByCondition 获取指标关系列表
  310. func GetEdbInfoCalculateListByCondition(condition string, pars []interface{}) (items []*EdbInfoCalculateMapping, err error) {
  311. o := orm.NewOrm()
  312. sql := ` SELECT * FROM edb_info_calculate_mapping WHERE 1=1 `
  313. if condition != "" {
  314. sql += condition
  315. }
  316. _, err = o.Raw(sql, pars).QueryRows(&items)
  317. return
  318. }
  319. // GetEdbInfoCalculateCountByCondition 获取关联指标数量
  320. func GetEdbInfoCalculateCountByCondition(condition string, pars []interface{}) (count int, err error) {
  321. o := orm.NewOrm()
  322. sql := ` SELECT COUNT(1) AS count FROM edb_info_calculate_mapping WHERE 1=1 `
  323. if condition != "" {
  324. sql += condition
  325. }
  326. err = o.Raw(sql, pars).QueryRow(&count)
  327. return
  328. }
  329. // 优化版本-处理数据精度问题
  330. type EdbInfoSearchDataV1 struct {
  331. EdbDataId int `description:"数据ID"`
  332. DataTime string `description:"数据日期"`
  333. Value string `description:"数据"`
  334. }
  335. // 优化版本-处理数据精度问题
  336. func GetEdbDataListAllV1(condition string, pars []interface{}, source, subSource, order int) (item []*EdbInfoSearchDataV1, err error) {
  337. o := orm.NewOrm()
  338. sql := ``
  339. tableName := GetEdbDataTableName(source, subSource)
  340. sql = ` SELECT * FROM %s WHERE 1=1 `
  341. sql = fmt.Sprintf(sql, tableName)
  342. if condition != "" {
  343. sql += condition
  344. }
  345. if order == 1 {
  346. sql += ` ORDER BY data_time ASC `
  347. } else {
  348. sql += ` ORDER BY data_time DESC `
  349. }
  350. _, err = o.Raw(sql, pars).QueryRows(&item)
  351. return
  352. }
  353. // GetEdbDataListAllV1ByTo 通过事务链接获取数据列表
  354. func GetEdbDataListAllV1ByTo(to orm.TxOrmer, condition string, pars []interface{}, source, subSource, order int) (item []*EdbInfoSearchDataV1, err error) {
  355. sql := ``
  356. tableName := GetEdbDataTableName(source, subSource)
  357. sql = ` SELECT * FROM %s WHERE 1=1 `
  358. sql = fmt.Sprintf(sql, tableName)
  359. if condition != "" {
  360. sql += condition
  361. }
  362. if order == 1 {
  363. sql += ` ORDER BY data_time ASC `
  364. } else {
  365. sql += ` ORDER BY data_time DESC `
  366. }
  367. _, err = to.Raw(sql, pars).QueryRows(&item)
  368. return
  369. }
  370. // GetEdbInfoByCondition 获取指标列表
  371. func GetEdbInfoByCondition(condition string, pars []interface{}, order int) (item []*EdbInfo, err error) {
  372. o := orm.NewOrm()
  373. sql := ` SELECT * FROM edb_info WHERE 1=1 `
  374. if condition != "" {
  375. sql += condition
  376. }
  377. if order == 1 {
  378. sql += ` ORDER BY end_date ASC `
  379. } else {
  380. sql += ` ORDER BY edb_info_id ASC `
  381. }
  382. _, err = o.Raw(sql, pars).QueryRows(&item)
  383. return
  384. }
  385. // UnifiedModifyEdbInfoMaxAndMinInfo 统一修改指标的最大最小值
  386. func UnifiedModifyEdbInfoMaxAndMinInfo(edbInfo *EdbInfo) (err error, errMsg string) {
  387. // 修改最大最小值
  388. maxAndMinItem, err := GetEdbInfoMaxAndMinInfo(edbInfo.Source, edbInfo.SubSource, edbInfo.EdbCode)
  389. if err != nil {
  390. if err.Error() == utils.ErrNoRow() {
  391. err = nil
  392. return
  393. }
  394. errMsg = "刷新指标失败!"
  395. err = errors.New("获取指标最大最小值失败,err:" + err.Error())
  396. return
  397. }
  398. if maxAndMinItem != nil {
  399. // 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
  400. if edbInfo.ManualSave == 1 {
  401. err = ModifyEdbTimeAndLastInfo(edbInfo.EdbInfoId, maxAndMinItem)
  402. if err != nil {
  403. errMsg = "刷新指标失败!"
  404. err = errors.New("修改指标最新日期和数据失败,err:" + err.Error())
  405. return
  406. }
  407. } else {
  408. err = ModifyEdbInfoMaxAndMinInfo(edbInfo.EdbInfoId, maxAndMinItem)
  409. if err != nil {
  410. errMsg = "刷新指标失败!"
  411. err = errors.New("修改指标最大最小值失败,err:" + err.Error())
  412. return
  413. }
  414. }
  415. }
  416. // 修改关联的预测指标
  417. go ModifyPredictEdbInfoMaxAndMinInfoBySourceEdbInfoId(edbInfo.EdbInfoId, maxAndMinItem)
  418. return
  419. }
  420. // UnifiedModifyEdbInfoMaxAndMinInfoDataUpdate 统一修改指标的最大最小值以及数据更新时间点
  421. func UnifiedModifyEdbInfoMaxAndMinInfoDataUpdate(edbInfo *EdbInfo, dataUpdateTime string) (erDataUpdateDate string, err error, errMsg string) {
  422. err, errMsg = UnifiedModifyEdbInfoMaxAndMinInfo(edbInfo)
  423. if err != nil {
  424. return
  425. }
  426. // 获取本次刷新,指标数据更新的最早日期
  427. erDataUpdateTime, tErr := GetEdbDataUpdateTimeByModify(edbInfo.Source, edbInfo.SubSource, edbInfo.EdbCode, dataUpdateTime)
  428. if tErr != nil {
  429. if tErr.Error() != utils.ErrNoRow() { //本次刷新指标数据无变化
  430. errMsg = "刷新指标失败!"
  431. err = errors.New("查询指标刷新,数据更新的最早日期失败,err:" + tErr.Error())
  432. return
  433. }
  434. } else if erDataUpdateTime.MinDate != "" {
  435. err = ModifyEdbDataUpdateTime(edbInfo.EdbInfoId, dataUpdateTime, erDataUpdateTime.MinDate)
  436. if err != nil {
  437. errMsg = "刷新指标失败!"
  438. err = errors.New("修改指标数据更新的最早日期失败,err:" + tErr.Error())
  439. return
  440. }
  441. erDataUpdateDate = erDataUpdateTime.MinDate
  442. }
  443. return
  444. }
  445. // UnifiedModifyPredictEdbInfoMaxAndMinInfo 统一修改预测运算指标的最大最小值
  446. func UnifiedModifyPredictEdbInfoMaxAndMinInfo(edbInfo *EdbInfo, latestDateStr string, latestValue float64) (err error, errMsg string) {
  447. // 修改最大最小值
  448. maxAndMinItem, err := GetEdbInfoMaxAndMinInfo(edbInfo.Source, edbInfo.SubSource, edbInfo.EdbCode)
  449. if err != nil {
  450. if err.Error() == utils.ErrNoRow() {
  451. err = nil
  452. return
  453. }
  454. errMsg = "刷新指标失败!"
  455. err = errors.New("获取指标最大最小值失败,err:" + err.Error())
  456. return
  457. }
  458. // 最晚的日期的值
  459. maxAndMinItem.EndValue = maxAndMinItem.LatestValue
  460. if maxAndMinItem != nil {
  461. maxAndMinItem.LatestDate = latestDateStr
  462. maxAndMinItem.LatestValue = latestValue
  463. err = ModifyPredictEdbInfoMaxAndMinInfo(edbInfo.EdbInfoId, maxAndMinItem)
  464. if err != nil {
  465. errMsg = "刷新指标失败!"
  466. err = errors.New("修改指标最大最小值失败,err:" + err.Error())
  467. return
  468. }
  469. }
  470. return
  471. }
  472. // GetChartPredictEdbInfoDataListByConfList 获取图表的预测指标的未来数据
  473. func GetChartPredictEdbInfoDataListByConfList(predictEdbConfList []*PredictEdbConfAndData, filtrateStartDateStr, latestDateStr, endDateStr, frequency, dataDateType string, realPredictEdbInfoData []*EdbInfoSearchData) (predictEdbInfoData []*EdbInfoSearchData, minValue, maxValue float64, err error) {
  474. endDate, err := time.ParseInLocation(utils.FormatDate, endDateStr, time.Local)
  475. if err != nil {
  476. return
  477. }
  478. latestDate, err := time.ParseInLocation(utils.FormatDate, latestDateStr, time.Local)
  479. if err != nil {
  480. return
  481. }
  482. // 开始预测数据的时间
  483. startDate := latestDate
  484. // 如果有筛选时间的话
  485. if filtrateStartDateStr != `` {
  486. filtrateStartDate, tmpErr := time.ParseInLocation(utils.FormatDate, filtrateStartDateStr, time.Local)
  487. if tmpErr != nil {
  488. err = tmpErr
  489. return
  490. }
  491. //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
  492. if filtrateStartDate.After(latestDate) {
  493. startDate = filtrateStartDate.AddDate(0, 0, -1)
  494. }
  495. }
  496. //var dateArr []string
  497. // 对应日期的值
  498. existMap := make(map[string]float64)
  499. for _, v := range realPredictEdbInfoData {
  500. //dateArr = append(dateArr, v.DataTime)
  501. existMap[v.DataTime] = v.Value
  502. }
  503. predictEdbInfoData = make([]*EdbInfoSearchData, 0)
  504. //dataValue := lastDataValue
  505. //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
  506. for _, predictEdbConf := range predictEdbConfList {
  507. dataEndTime := endDate
  508. if predictEdbConf.EndDate.Before(dataEndTime) {
  509. dataEndTime = predictEdbConf.EndDate
  510. }
  511. var tmpMinValue, tmpMaxValue float64 // 当前预测结果中的最大/最小值
  512. dayList := getPredictEdbDayList(startDate, dataEndTime, frequency, dataDateType)
  513. 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
  514. continue
  515. }
  516. switch predictEdbConf.RuleType {
  517. case 1: //1:最新
  518. var lastDataValue float64 //最新值
  519. tmpAllData := make([]*EdbInfoSearchData, 0)
  520. tmpAllData = append(tmpAllData, realPredictEdbInfoData...)
  521. tmpAllData = append(tmpAllData, predictEdbInfoData...)
  522. lenTmpAllData := len(tmpAllData)
  523. if lenTmpAllData > 0 {
  524. lastDataValue = tmpAllData[lenTmpAllData-1].Value
  525. }
  526. predictEdbInfoData = GetChartPredictEdbInfoDataListByRule1(predictEdbConf.PredictEdbInfoId, lastDataValue, dayList, predictEdbInfoData, existMap)
  527. tmpMaxValue = lastDataValue
  528. tmpMinValue = lastDataValue
  529. case 2: //2:固定值
  530. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  531. if tmpErr != nil {
  532. err = tmpErr
  533. return
  534. }
  535. dataValue, _ := tmpValDecimal.Float64()
  536. predictEdbInfoData = GetChartPredictEdbInfoDataListByRule1(predictEdbConf.PredictEdbInfoId, dataValue, dayList, predictEdbInfoData, existMap)
  537. tmpMaxValue = dataValue
  538. tmpMinValue = dataValue
  539. case 3: //3:同比
  540. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  541. if tmpErr != nil {
  542. err = tmpErr
  543. return
  544. }
  545. tbValue, _ := tmpValDecimal.Float64()
  546. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleTb(predictEdbConf.PredictEdbInfoId, tbValue, dayList, frequency, realPredictEdbInfoData, predictEdbInfoData, existMap)
  547. case 4: //4:同差
  548. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  549. if tmpErr != nil {
  550. err = tmpErr
  551. return
  552. }
  553. tcValue, _ := tmpValDecimal.Float64()
  554. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleTc(predictEdbConf.PredictEdbInfoId, tcValue, dayList, frequency, realPredictEdbInfoData, predictEdbInfoData, existMap)
  555. case 5: //5:环比
  556. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  557. if tmpErr != nil {
  558. err = tmpErr
  559. return
  560. }
  561. hbValue, _ := tmpValDecimal.Float64()
  562. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleHb(predictEdbConf.PredictEdbInfoId, hbValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  563. case 6: //6:环差
  564. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  565. if tmpErr != nil {
  566. err = tmpErr
  567. return
  568. }
  569. hcValue, _ := tmpValDecimal.Float64()
  570. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleHc(predictEdbConf.PredictEdbInfoId, hcValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  571. case 7: //7:N期移动均值
  572. nValue, tmpErr := strconv.Atoi(predictEdbConf.Value)
  573. if tmpErr != nil {
  574. err = tmpErr
  575. return
  576. }
  577. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleNMoveMeanValue(predictEdbConf.PredictEdbInfoId, nValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  578. case 8: //8:N期段线性外推值
  579. nValue, tmpErr := strconv.Atoi(predictEdbConf.Value)
  580. if tmpErr != nil {
  581. err = tmpErr
  582. return
  583. }
  584. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleNLinearRegression(predictEdbConf.PredictEdbInfoId, nValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  585. if err != nil {
  586. return
  587. }
  588. case 9: //9:动态环差”预测规则;
  589. hcDataMap := make(map[string]float64) //规则计算的环差值map
  590. if predictEdbConf.PredictEdbInfoId > 0 {
  591. tmpPredictEdbRuleDataList, tmpErr := GetPredictEdbRuleDataItemList(predictEdbConf.PredictEdbInfoId, predictEdbConf.ConfigId, startDate.Format(utils.FormatDate), endDate.Format(utils.FormatDate))
  592. if tmpErr != nil {
  593. err = tmpErr
  594. return
  595. }
  596. for _, v := range tmpPredictEdbRuleDataList {
  597. hcDataMap[v.DataTime] = v.Value
  598. }
  599. } else {
  600. if len(predictEdbConf.DataList) <= 0 {
  601. return
  602. }
  603. for _, v := range predictEdbConf.DataList {
  604. currentDate, tmpErr := time.ParseInLocation(utils.FormatDate, v.DataTime, time.Local)
  605. if tmpErr != nil {
  606. continue
  607. }
  608. // 只处理时间段内的数据
  609. if currentDate.Before(startDate) || currentDate.After(endDate) {
  610. continue
  611. }
  612. hcDataMap[v.DataTime] = v.Value
  613. }
  614. }
  615. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleTrendsHC(predictEdbConf.PredictEdbInfoId, dayList, realPredictEdbInfoData, predictEdbInfoData, hcDataMap, existMap)
  616. case 10: //10:根据 给定终值后插值 规则获取预测数据
  617. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  618. if tmpErr != nil {
  619. err = tmpErr
  620. return
  621. }
  622. finalValue, _ := tmpValDecimal.Float64()
  623. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleFinalValueHc(predictEdbConf.PredictEdbInfoId, finalValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  624. case 11: //11:根据 季节性 规则获取预测数据
  625. var seasonConf SeasonConf
  626. tmpErr := json.Unmarshal([]byte(predictEdbConf.Value), &seasonConf)
  627. if tmpErr != nil {
  628. err = errors.New("季节性配置信息异常:" + tmpErr.Error())
  629. return
  630. }
  631. calendar := "公历"
  632. if seasonConf.Calendar == "农历" {
  633. calendar = "农历"
  634. }
  635. yearList := make([]int, 0)
  636. //选择方式,1:连续N年;2:指定年份
  637. if seasonConf.YearType == 1 {
  638. if seasonConf.NValue < 1 {
  639. err = errors.New("连续N年不允许小于1")
  640. return
  641. }
  642. currYear := time.Now().Year()
  643. for i := 0; i < seasonConf.NValue; i++ {
  644. yearList = append(yearList, currYear-i-1)
  645. }
  646. } else {
  647. yearList = seasonConf.YearList
  648. }
  649. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleSeason(predictEdbConf.PredictEdbInfoId, yearList, calendar, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  650. if err != nil {
  651. return
  652. }
  653. case 12: //12:根据 移动平均同比 规则获取预测数据
  654. var moveAverageConf MoveAverageConf
  655. tmpErr := json.Unmarshal([]byte(predictEdbConf.Value), &moveAverageConf)
  656. if tmpErr != nil {
  657. err = errors.New("季节性配置信息异常:" + tmpErr.Error())
  658. return
  659. }
  660. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleMoveAverageTb(predictEdbConf.PredictEdbInfoId, moveAverageConf.NValue, moveAverageConf.Year, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  661. if err != nil {
  662. return
  663. }
  664. case 13: //13:根据 同比增速差值 规则获取预测数据
  665. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  666. if tmpErr != nil {
  667. err = tmpErr
  668. return
  669. }
  670. tbEndValue, _ := tmpValDecimal.Float64()
  671. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleTbzscz(predictEdbConf.PredictEdbInfoId, tbEndValue, dayList, frequency, realPredictEdbInfoData, predictEdbInfoData, existMap)
  672. case 14: //14:根据 一元线性拟合 规则获取预测数据
  673. var ruleConf RuleLineNhConf
  674. err = json.Unmarshal([]byte(predictEdbConf.Value), &ruleConf)
  675. if err != nil {
  676. err = errors.New("一元线性拟合规则配置信息异常:" + err.Error())
  677. return
  678. }
  679. // 规则计算的拟合残差值map
  680. newNhccDataMap := make(map[string]float64)
  681. if predictEdbConf.PredictEdbInfoId > 0 { //已经生成的动态数据
  682. tmpPredictEdbRuleDataList, tmpErr := GetPredictEdbRuleDataItemList(predictEdbConf.PredictEdbInfoId, predictEdbConf.ConfigId, startDate.Format(utils.FormatDate), endDate.Format(utils.FormatDate))
  683. if tmpErr != nil {
  684. err = tmpErr
  685. return
  686. }
  687. for _, v := range tmpPredictEdbRuleDataList {
  688. newNhccDataMap[v.DataTime] = v.Value
  689. }
  690. } else { //未生成的动态数据,需要使用外部传入的数据进行计算
  691. newNhccDataMap, err, _ = getCalculateNhccData(append(realPredictEdbInfoData, predictEdbInfoData...), ruleConf)
  692. }
  693. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleLineNh(predictEdbConf.PredictEdbInfoId, dayList, realPredictEdbInfoData, predictEdbInfoData, newNhccDataMap, existMap)
  694. if err != nil {
  695. return
  696. }
  697. 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;
  698. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleNAnnualAverage(predictEdbConf.PredictEdbInfoId, predictEdbConf.Value, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  699. if err != nil {
  700. return
  701. }
  702. case 16: //16:年度值倒推
  703. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleAnnualValueInversion(predictEdbConf.PredictEdbInfoId, predictEdbConf.Value, dayList, frequency, realPredictEdbInfoData, predictEdbInfoData, existMap)
  704. if err != nil {
  705. return
  706. }
  707. }
  708. // 下一个规则的开始日期
  709. {
  710. lenPredictEdbInfoData := len(predictEdbInfoData)
  711. if lenPredictEdbInfoData > 0 {
  712. tmpDataEndTime, _ := time.ParseInLocation(utils.FormatDate, predictEdbInfoData[lenPredictEdbInfoData-1].DataTime, time.Local)
  713. if startDate.Before(tmpDataEndTime) {
  714. startDate = tmpDataEndTime
  715. }
  716. }
  717. }
  718. if tmpMinValue < minValue {
  719. minValue = tmpMinValue
  720. }
  721. if tmpMaxValue < maxValue {
  722. maxValue = tmpMaxValue
  723. }
  724. }
  725. return
  726. }
  727. // GetPredictEdbDayList 获取预测指标日期列表
  728. // GetPredictEdbDayList 获取预测指标日期列表
  729. func getPredictEdbDayList(startDate, endDate time.Time, frequency, dataDateType string) (dayList []time.Time) {
  730. if dataDateType == `` {
  731. dataDateType = `交易日`
  732. }
  733. switch frequency {
  734. case "日度":
  735. for currDate := startDate.AddDate(0, 0, 1); currDate.Before(endDate) || currDate.Equal(endDate); currDate = currDate.AddDate(0, 0, 1) {
  736. // 如果日期类型是交易日的时候,那么需要将周六、日排除
  737. if dataDateType == `交易日` && (currDate.Weekday() == time.Sunday || currDate.Weekday() == time.Saturday) {
  738. continue
  739. }
  740. dayList = append(dayList, currDate)
  741. }
  742. case "周度":
  743. //nextDate := startDate.AddDate(0, 0, 7)
  744. for currDate := startDate.AddDate(0, 0, 7); currDate.Before(endDate) || currDate.Equal(endDate); currDate = currDate.AddDate(0, 0, 7) {
  745. dayList = append(dayList, currDate)
  746. }
  747. case "旬度":
  748. for currDate := startDate.AddDate(0, 0, 1); currDate.Before(endDate) || currDate.Equal(endDate); {
  749. nextDate := currDate.AddDate(0, 0, 1)
  750. //每个月的10号、20号、最后一天,那么就写入
  751. if nextDate.Day() == 11 || nextDate.Day() == 21 || nextDate.Day() == 1 {
  752. dayList = append(dayList, currDate)
  753. }
  754. currDate = nextDate
  755. }
  756. case "月度":
  757. for currDate := startDate; currDate.Before(endDate) || currDate.Equal(endDate); {
  758. currDate = time.Date(currDate.Year(), currDate.Month(), 1, 0, 0, 0, 0, time.Now().Location()).AddDate(0, 1, -1)
  759. if !currDate.After(endDate) && !currDate.Equal(startDate) {
  760. dayList = append(dayList, currDate)
  761. }
  762. currDate = currDate.AddDate(0, 0, 1)
  763. }
  764. case "季度":
  765. for currDate := startDate; currDate.Before(endDate) || currDate.Equal(endDate); {
  766. // 每月的最后一天
  767. currDate = time.Date(currDate.Year(), currDate.Month(), 1, 0, 0, 0, 0, time.Now().Location()).AddDate(0, 1, -1)
  768. if !currDate.After(endDate) && !currDate.Equal(startDate) {
  769. // 季度日期就写入,否则不写入
  770. if currDate.Month() == 3 || currDate.Month() == 6 || currDate.Month() == 9 || currDate.Month() == 12 {
  771. dayList = append(dayList, currDate)
  772. }
  773. }
  774. currDate = currDate.AddDate(0, 0, 1)
  775. }
  776. case "半年度":
  777. for currDate := startDate; currDate.Before(endDate) || currDate.Equal(endDate); {
  778. // 每月的最后一天
  779. currDate = time.Date(currDate.Year(), currDate.Month(), 1, 0, 0, 0, 0, time.Now().Location()).AddDate(0, 1, -1)
  780. if !currDate.After(endDate) && !currDate.Equal(startDate) {
  781. // 半年度日期就写入,否则不写入
  782. if currDate.Month() == 6 || currDate.Month() == 12 {
  783. dayList = append(dayList, currDate)
  784. }
  785. }
  786. currDate = currDate.AddDate(0, 0, 1)
  787. }
  788. case "年度":
  789. for currDate := startDate; currDate.Before(endDate) || currDate.Equal(endDate); {
  790. currDate = time.Date(currDate.Year()+1, 12, 31, 0, 0, 0, 0, time.Now().Location())
  791. if !currDate.After(endDate) && !currDate.Equal(startDate) {
  792. dayList = append(dayList, currDate)
  793. }
  794. }
  795. }
  796. return
  797. }
  798. // 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
  799. func GetPredictDataListByPredictEdbInfo(edbInfo *EdbInfo, order int, startDate string) (dataList []*EdbInfoSearchData, sourceEdbInfoItem *EdbInfo, err error, errMsg string) {
  800. // 查找该预测指标配置
  801. predictEdbConfList, err := GetPredictEdbConfAndDataListById(edbInfo.EdbInfoId)
  802. if err != nil && err.Error() != utils.ErrNoRow() {
  803. errMsg = "获取预测指标配置信息失败"
  804. return
  805. }
  806. if len(predictEdbConfList) == 0 {
  807. errMsg = "获取预测指标配置信息失败"
  808. err = errors.New(errMsg)
  809. return
  810. }
  811. predictEdbConf := predictEdbConfList[0]
  812. // 来源指标
  813. sourceEdbInfoItem, err = GetEdbInfoById(predictEdbConf.SourceEdbInfoId)
  814. if err != nil {
  815. if err.Error() == utils.ErrNoRow() {
  816. errMsg = "找不到来源指标信息"
  817. err = errors.New(errMsg)
  818. }
  819. return
  820. }
  821. dataList, err, errMsg = GetPredictDataListByPredictEdbConfList(edbInfo, sourceEdbInfoItem, predictEdbConfList, order, startDate)
  822. return
  823. }
  824. // 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
  825. func GetPredictDataListByPredictEdbConfList(edbInfo, sourceEdbInfoItem *EdbInfo, predictEdbConfList []*PredictEdbConfAndData, order int, startDate string) (dataList []*EdbInfoSearchData, err error, errMsg string) {
  826. allDataList := make([]*EdbInfoSearchData, 0)
  827. //获取指标数据(实际已生成)
  828. var condition string
  829. var pars []interface{}
  830. condition += " AND edb_info_id=? "
  831. pars = append(pars, sourceEdbInfoItem.EdbInfoId)
  832. if startDate != "" {
  833. condition += " AND data_time>=? "
  834. pars = append(pars, startDate)
  835. }
  836. tmpDataList, err := GetEdbDataListAll(condition, pars, sourceEdbInfoItem.Source, sourceEdbInfoItem.SubSource, 1)
  837. if err != nil {
  838. return
  839. }
  840. // 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
  841. if startDate != `` {
  842. allDataList, err = GetEdbDataListAll(" AND edb_info_id=? ", []interface{}{sourceEdbInfoItem.EdbInfoId}, sourceEdbInfoItem.Source, sourceEdbInfoItem.SubSource, 1)
  843. if err != nil {
  844. return
  845. }
  846. } else {
  847. allDataList = tmpDataList
  848. }
  849. // 获取预测指标未来的数据
  850. predictDataList := make([]*EdbInfoSearchData, 0)
  851. endDateStr := edbInfo.EndDate //预测指标的结束日期
  852. var predictMinValue, predictMaxValue float64
  853. // 如果有配置的预测规则,那么就进行预测
  854. if len(predictEdbConfList) > 0 {
  855. predictDataList, predictMinValue, predictMaxValue, err = GetChartPredictEdbInfoDataListByConfList(predictEdbConfList, startDate, sourceEdbInfoItem.LatestDate, endDateStr, edbInfo.Frequency, edbInfo.DataDateType, allDataList)
  856. if err != nil {
  857. return
  858. }
  859. }
  860. //order:1升序,其余值为降序
  861. if order == 1 {
  862. dataList = append(tmpDataList, predictDataList...)
  863. } else {
  864. // 先倒序预测数据
  865. lenPredictDataList := len(predictDataList)
  866. if lenPredictDataList > 0 {
  867. for k := range predictDataList {
  868. dataList = append(dataList, predictDataList[lenPredictDataList-k-1])
  869. }
  870. }
  871. // 接着倒序实际指标
  872. lenDataList := len(tmpDataList)
  873. for k := range tmpDataList {
  874. dataList = append(dataList, tmpDataList[lenDataList-k-1])
  875. }
  876. }
  877. if len(predictDataList) > 0 {
  878. // 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
  879. if edbInfo.MinValue > predictMinValue {
  880. edbInfo.MinValue = predictMinValue
  881. }
  882. // 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
  883. if edbInfo.MaxValue < predictMaxValue {
  884. edbInfo.MaxValue = predictMaxValue
  885. }
  886. }
  887. return
  888. }
  889. // GetPredictEdbDataListAll 获取该预测指标所有的数据 ,order:1升序,其余值为降序
  890. func GetPredictEdbDataListAll(edbInfo *EdbInfo, order int) (items []*EdbInfoSearchData, err error) {
  891. 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
  892. items, _, err, _ = GetPredictDataListByPredictEdbInfo(edbInfo, 1, "")
  893. } else {
  894. var condition string
  895. var pars []interface{}
  896. condition += " AND edb_info_id=? "
  897. pars = append(pars, edbInfo.EdbInfoId)
  898. items, err = GetEdbDataListAll(condition, pars, edbInfo.Source, edbInfo.SubSource, order)
  899. }
  900. return
  901. }
  902. // 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
  903. func GetPredictEdbDataListAllByStartDate(edbInfo *EdbInfo, order int, startDate string) (items []*EdbInfoSearchData, err error) {
  904. 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
  905. items, _, err, _ = GetPredictDataListByPredictEdbInfo(edbInfo, order, startDate)
  906. } else {
  907. var condition string
  908. var pars []interface{}
  909. condition += " AND edb_info_id=? "
  910. pars = append(pars, edbInfo.EdbInfoId)
  911. if startDate != "" {
  912. condition += " AND data_time>=? "
  913. pars = append(pars, startDate)
  914. }
  915. items, err = GetEdbDataListAll(condition, pars, edbInfo.Source, edbInfo.SubSource, order)
  916. }
  917. return
  918. }
  919. // ModifyPredictEdbInfoMaxAndMinInfo 修改预测指标的最新数据信息
  920. func ModifyPredictEdbInfoMaxAndMinInfo(edbInfoId int, item *EdbInfoMaxAndMinInfo) (err error) {
  921. o := orm.NewOrm()
  922. sql := ` UPDATE edb_info SET start_date=?,end_date=?,min_value=?,max_value=?,is_update=2,latest_date=?,latest_value=?,end_value=?,modify_time=NOW() WHERE edb_info_id=? `
  923. _, err = o.Raw(sql, item.MinDate, item.MaxDate, item.MinValue, item.MaxValue, item.LatestDate, item.LatestValue, item.EndValue, edbInfoId).Exec()
  924. return
  925. }
  926. // ModifyCalculateEdbInfo 修改计算指标信息
  927. func ModifyCalculateEdbInfo(edbName, frequency, unit, calculateFormula string, classifyId, edbInfoId int) (err error) {
  928. o := orm.NewOrm()
  929. sql := ` UPDATE edb_info
  930. SET
  931. edb_name =?,
  932. edb_name_source =?,
  933. frequency = ?,
  934. unit = ?,
  935. classify_id = ?,
  936. calculate_formula=?,
  937. modify_time = NOW()
  938. WHERE edb_info_id = ?`
  939. _, err = o.Raw(sql, edbName, edbName, frequency, unit, classifyId, calculateFormula, edbInfoId).Exec()
  940. return
  941. }
  942. func GetEdbInfoItemByCondition(condition string, pars []interface{}) (item *EdbInfoList, err error) {
  943. o := orm.NewOrm()
  944. sql := ` SELECT * FROM edb_info WHERE 1=1 `
  945. if condition != "" {
  946. sql += condition
  947. }
  948. err = o.Raw(sql, pars).QueryRow(&item)
  949. return
  950. }
  951. func GetEdbInfoItemListByCondition() (items []*EdbInfoList, err error) {
  952. o := orm.NewOrm()
  953. sql := ` SELECT * FROM edb_info WHERE 1=1 `
  954. _, err = o.Raw(sql).QueryRows(&items)
  955. return
  956. }
  957. // EdbInfoDetailReq 指标详情请求
  958. type EdbInfoDetailReq struct {
  959. UniqueCode string `description:"指标唯一编码"`
  960. EdbCode string `description:"指标编码"`
  961. }
  962. // EdbInfoDetailResp 指标详情返回
  963. type EdbInfoDetailResp struct {
  964. SourceName string `description:"来源名称"`
  965. EdbCode string `description:"指标编码"`
  966. EdbName string `description:"指标名称"`
  967. EdbNameSource string `description:"指标名称来源"`
  968. Frequency string `description:"频率"`
  969. Unit string `description:"单位"`
  970. StartDate string `description:"起始日期"`
  971. EndDate string `description:"终止日期"`
  972. UniqueCode string `description:"指标唯一编码"`
  973. CreateTime time.Time
  974. ModifyTime time.Time
  975. MinValue float64 `description:"指标最小值"`
  976. MaxValue float64 `description:"指标最大值"`
  977. EdbNameEn string `description:"英文指标名称"`
  978. UnitEn string `description:"英文单位"`
  979. LatestDate string `description:"数据最新日期"`
  980. LatestValue float64 `description:"数据最新值"`
  981. ChartImage string `description:"图表图片"`
  982. DataList []*EdbInfoSearchData
  983. }
  984. type AddEdbInfoParams struct {
  985. Source int `description:"来源id"`
  986. EdbCode string `description:"指标编码"`
  987. EdbName string `description:"指标名称"`
  988. Frequency string `description:"频率"`
  989. Unit string `description:"单位"`
  990. ClassifyId int `description:"分类id"`
  991. TerminalCode string `description:"终端编码"`
  992. AdminId int `description:"创建人ID"`
  993. AdminName string `description:"创建人姓名"`
  994. }
  995. // EdbInfoAdd 添加指标到指标库
  996. func EdbInfoAdd(req *AddEdbInfoParams, serverUrl string, sysUserId int, sysUserRealName string) (edbInfo *EdbInfo, err error) {
  997. source := req.Source
  998. //判断指标名称是否存在
  999. var condition string
  1000. var pars []interface{}
  1001. //condition += " AND source=? "
  1002. //pars = append(pars, source)
  1003. condition += " AND edb_code=? "
  1004. pars = append(pars, req.EdbCode)
  1005. items, err := GetEdbInfoByCondition(condition, pars, 0)
  1006. if err != nil {
  1007. err = errors.New("判断指标是否存在失败,Err:" + err.Error())
  1008. return
  1009. }
  1010. if len(items) > 0 {
  1011. sql := ` UPDATE edb_info SET classify_id=?,modify_time=NOW() WHERE edb_code=? `
  1012. o := orm.NewOrm()
  1013. _, err = o.Raw(sql, req.ClassifyId, req.EdbCode).Exec()
  1014. if err != nil {
  1015. err = errors.New("更新指标分类信息失败,Err:" + err.Error())
  1016. return
  1017. }
  1018. edbInfo = items[0]
  1019. return
  1020. }
  1021. edbInfo = new(EdbInfo)
  1022. edbInfo.Source = source
  1023. sourceNameMap := map[int]string{
  1024. utils.DATA_SOURCE_THS: "同花顺",
  1025. utils.DATA_SOURCE_WIND: "wind",
  1026. utils.DATA_SOURCE_PB: "彭博",
  1027. utils.DATA_SOURCE_PB_FINANCE: "彭博财务",
  1028. utils.DATA_SOURCE_MANUAL: "手工数据",
  1029. utils.DATA_SOURCE_LZ: "隆众",
  1030. utils.DATA_SOURCE_YS: "SMM",
  1031. utils.DATA_SOURCE_GL: "钢联",
  1032. utils.DATA_SOURCE_ZZ: "郑商所",
  1033. utils.DATA_SOURCE_DL: "大商所",
  1034. utils.DATA_SOURCE_SH: "上期所",
  1035. utils.DATA_SOURCE_CFFEX: "中金所",
  1036. utils.DATA_SOURCE_SHFE: "上期能源",
  1037. utils.DATA_SOURCE_GIE: "欧洲天然气",
  1038. utils.DATA_SOURCE_LT: "路透",
  1039. utils.DATA_SOURCE_COAL: "中国煤炭网",
  1040. utils.DATA_SOURCE_GOOGLE_TRAVEL: "our world in data",
  1041. utils.DATA_SOURCE_MYSTEEL_CHEMICAL: "钢联化工",
  1042. utils.DATA_SOURCE_EIA_STEO: "EIA STEO报告",
  1043. utils.DATA_SOURCE_COM_TRADE: "UN",
  1044. utils.DATA_SOURCE_SCI: "SCI",
  1045. utils.DATA_SOURCE_BAIINFO: "BAIINFO",
  1046. utils.DATA_SOURCE_STOCK_PLANT: "存量装置",
  1047. utils.DATA_SOURCE_NATIONAL_STATISTICS: "国家统计局",
  1048. utils.DATA_SOURCE_FUBAO: "富宝数据",
  1049. }
  1050. sourceName, ok := sourceNameMap[source]
  1051. if !ok {
  1052. edbSource := EdbSourceIdMap[source]
  1053. if edbSource != nil {
  1054. sourceName = edbSource.SourceName
  1055. }
  1056. if sourceName == "" {
  1057. err = errors.New("指标来源异常")
  1058. return
  1059. }
  1060. }
  1061. edbInfo.SourceName = sourceName
  1062. edbType := 1 //基础指标
  1063. if source == utils.DATA_SOURCE_STOCK_PLANT {
  1064. edbType = 2 //计算指标
  1065. }
  1066. var sourceIndexName string
  1067. // 钢联化工需要校验下信息是否完整
  1068. if source == utils.DATA_SOURCE_MYSTEEL_CHEMICAL {
  1069. indexObj := new(BaseFromMysteelChemicalIndex)
  1070. tmpItem, tmpErr := indexObj.GetIndexItem(req.EdbCode)
  1071. if tmpErr != nil {
  1072. err = tmpErr
  1073. return
  1074. }
  1075. if tmpItem == nil || tmpItem.IndexName == `` {
  1076. err = errors.New("指标信息不全")
  1077. return
  1078. }
  1079. }
  1080. //获取该层级下最大的排序数
  1081. maxSort, err := GetEdbAndClassifyMaxSort(req.ClassifyId, 0)
  1082. if err != nil {
  1083. err = errors.New("查询排序信息失败,Err:" + err.Error())
  1084. return
  1085. }
  1086. edbInfo.EdbCode = req.EdbCode
  1087. edbInfo.EdbName = req.EdbName
  1088. edbInfo.EdbNameSource = req.EdbName
  1089. edbInfo.Frequency = req.Frequency
  1090. edbInfo.Unit = req.Unit
  1091. edbInfo.ClassifyId = req.ClassifyId
  1092. edbInfo.SysUserId = sysUserId
  1093. edbInfo.SysUserRealName = sysUserRealName
  1094. edbInfo.StartDate = "1990-01-01"
  1095. edbInfo.CreateTime = time.Now()
  1096. edbInfo.ModifyTime = time.Now()
  1097. edbInfo.ServerUrl = serverUrl
  1098. edbInfo.TerminalCode = req.TerminalCode
  1099. edbInfo.Sort = maxSort + 1
  1100. timestamp := strconv.FormatInt(time.Now().UnixNano(), 10)
  1101. edbInfo.UniqueCode = utils.MD5(utils.DATA_PREFIX + "_" + req.EdbCode + timestamp)
  1102. itemVal, err := GetEdbInfoMaxAndMinInfo(source, utils.DATA_SUB_SOURCE_EDB, req.EdbCode)
  1103. if itemVal != nil && err == nil {
  1104. edbInfo.MaxValue = itemVal.MaxValue
  1105. edbInfo.MinValue = itemVal.MinValue
  1106. }
  1107. edbInfo.EdbType = edbType
  1108. edbInfo.SourceIndexName = sourceIndexName
  1109. edbInfoId, err := AddEdbInfo(edbInfo)
  1110. if err != nil {
  1111. err = errors.New("保存失败,Err:" + err.Error())
  1112. return
  1113. }
  1114. edbInfo.EdbInfoId = int(edbInfoId)
  1115. return
  1116. }
  1117. // EdbInfoRefreshCheckReq 指标数据更新情况查询
  1118. type EdbInfoRefreshCheckReq struct {
  1119. Source int `description:"来源id"`
  1120. LatestDate string `description:"数据最新日期"`
  1121. FrequencyBatch string `description:"更新频度"`
  1122. }
  1123. // EdbInfoRefreshCheckResp 指标数据更新情况查询
  1124. type EdbInfoRefreshCheckResp struct {
  1125. UpdateNum int `description:"已更新指标数"`
  1126. UnUpdateNum int `description:"未更新指标数"`
  1127. }
  1128. // ResetEdbClassifyReq 指标重新分类请求体
  1129. type ResetEdbClassifyReq struct {
  1130. IndexCode string `description:"指标编码"`
  1131. ClassifyFirst string `description:"一级分类名称"`
  1132. ClassifySecond string `description:"二级分类名称"`
  1133. ClassifyThird string `description:"三级分类名称"`
  1134. }
  1135. // GetEdbInfoMaxSortByClassifyId 获取分类下指标的最大的排序数
  1136. func GetEdbInfoMaxSortByClassifyId(classifyId int) (sort int, err error) {
  1137. o := orm.NewOrm()
  1138. sql := `SELECT Max(sort) AS sort FROM edb_info WHERE classify_id=? `
  1139. err = o.Raw(sql, classifyId).QueryRow(&sort)
  1140. return
  1141. }
  1142. func GetEdbAndClassifyMaxSort(parentId int, classifyType uint8) (maxSort int, err error) {
  1143. //获取该层级下最大的排序数
  1144. classifyMaxSort, err := GetEdbClassifyMaxSort(parentId, classifyType)
  1145. if err != nil {
  1146. return
  1147. }
  1148. maxSort = classifyMaxSort
  1149. edbMaxSort, err := GetEdbInfoMaxSortByClassifyId(parentId)
  1150. if err != nil {
  1151. return
  1152. }
  1153. if maxSort < edbMaxSort {
  1154. maxSort = edbMaxSort
  1155. }
  1156. return
  1157. }