edb_info.go 48 KB

12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152535455565758596061626364656667686970717273747576777879808182838485868788899091929394959697989910010110210310410510610710810911011111211311411511611711811912012112212312412512612712812913013113213313413513613713813914014114214314414514614714814915015115215315415515615715815916016116216316416516616716816917017117217317417517617717817918018118218318418518618718818919019119219319419519619719819920020120220320420520620720820921021121221321421521621721821922022122222322422522622722822923023123223323423523623723823924024124224324424524624724824925025125225325425525625725825926026126226326426526626726826927027127227327427527627727827928028128228328428528628728828929029129229329429529629729829930030130230330430530630730830931031131231331431531631731831932032132232332432532632732832933033133233333433533633733833934034134234334434534634734834935035135235335435535635735835936036136236336436536636736836937037137237337437537637737837938038138238338438538638738838939039139239339439539639739839940040140240340440540640740840941041141241341441541641741841942042142242342442542642742842943043143243343443543643743843944044144244344444544644744844945045145245345445545645745845946046146246346446546646746846947047147247347447547647747847948048148248348448548648748848949049149249349449549649749849950050150250350450550650750850951051151251351451551651751851952052152252352452552652752852953053153253353453553653753853954054154254354454554654754854955055155255355455555655755855956056156256356456556656756856957057157257357457557657757857958058158258358458558658758858959059159259359459559659759859960060160260360460560660760860961061161261361461561661761861962062162262362462562662762862963063163263363463563663763863964064164264364464564664764864965065165265365465565665765865966066166266366466566666766866967067167267367467567667767867968068168268368468568668768868969069169269369469569669769869970070170270370470570670770870971071171271371471571671771871972072172272372472572672772872973073173273373473573673773873974074174274374474574674774874975075175275375475575675775875976076176276376476576676776876977077177277377477577677777877978078178278378478578678778878979079179279379479579679779879980080180280380480580680780880981081181281381481581681781881982082182282382482582682782882983083183283383483583683783883984084184284384484584684784884985085185285385485585685785885986086186286386486586686786886987087187287387487587687787887988088188288388488588688788888989089189289389489589689789889990090190290390490590690790890991091191291391491591691791891992092192292392492592692792892993093193293393493593693793893994094194294394494594694794894995095195295395495595695795895996096196296396496596696796896997097197297397497597697797897998098198298398498598698798898999099199299399499599699799899910001001100210031004100510061007100810091010101110121013101410151016101710181019102010211022102310241025102610271028102910301031103210331034103510361037103810391040104110421043104410451046104710481049105010511052105310541055105610571058105910601061106210631064106510661067106810691070107110721073107410751076107710781079108010811082108310841085108610871088108910901091109210931094109510961097109810991100110111021103110411051106110711081109111011111112111311141115111611171118111911201121112211231124112511261127112811291130113111321133113411351136113711381139114011411142114311441145114611471148114911501151115211531154115511561157115811591160116111621163116411651166116711681169117011711172117311741175117611771178117911801181118211831184118511861187118811891190119111921193119411951196119711981199120012011202120312041205120612071208120912101211121212131214121512161217121812191220122112221223122412251226122712281229123012311232123312341235123612371238123912401241124212431244124512461247124812491250125112521253125412551256125712581259126012611262126312641265126612671268
  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. Extra string `description:"指标的额外配置"`
  60. }
  61. func (e *EdbInfo) Add() (err error) {
  62. o := orm.NewOrm()
  63. _, err = o.Insert(e)
  64. return
  65. }
  66. // AddEdbInfo 添加指标
  67. func AddEdbInfo(item *EdbInfo) (lastId int64, err error) {
  68. o := orm.NewOrm()
  69. lastId, err = o.Insert(item)
  70. return
  71. }
  72. // EdbInfoList 指标数据列表
  73. type EdbInfoList struct {
  74. EdbInfoId int `orm:"column(edb_info_id);pk"`
  75. EdbInfoType int `description:"指标类型,0:普通指标,1:预测指标"`
  76. SourceName string `description:"来源名称"`
  77. Source int `description:"来源id"`
  78. EdbCode string `description:"指标编码"`
  79. EdbNameEn string `description:"英文指标名称"`
  80. EdbName string `description:"指标名称"`
  81. Frequency string `description:"频率"`
  82. FrequencyEn string `description:"英文频率"`
  83. Unit string `description:"单位"`
  84. UnitEn string `description:"英文单位"`
  85. StartDate string `description:"起始日期"`
  86. EndDate string `description:"终止日期"`
  87. LatestDate string `description:"数据最新日期(实际日期)"`
  88. LatestValue float64 `description:"数据最新值(实际值)"`
  89. EndValue float64 `description:"数据的最新值(预测日期的最新值)"`
  90. ClassifyId int `description:"分类id"`
  91. UniqueCode string `description:"指标唯一编码"`
  92. SysUserId int `description:"创建人id"`
  93. SysUserRealName string `description:"创建人姓名"`
  94. ModifyTime string `description:"最新修改时间"`
  95. CreateTime string `description:"创建时间"`
  96. EdbNameAlias string `json:"-" description:"指标名称,别名"`
  97. EdbType int `description:"指标类型:1:基础指标,2:计算指标"`
  98. ChartImage string `description:"图表图片"`
  99. RuleType int `description:"预测规则,1:最新,2:固定值"`
  100. FixedValue float64 `description:"固定值"`
  101. DataList []*EdbData `description:"实际指标数据"`
  102. PredictDataList []*EdbData `description:"预测指标数据"`
  103. Button EdbClassifyItemsButton `description:"操作权限"`
  104. IsEnEdb bool `description:"是否展示英文标识"`
  105. }
  106. // EdbClassifyItemsButton 操作按钮
  107. type EdbClassifyItemsButton struct {
  108. AddButton bool `description:"是否可添加"`
  109. OpButton bool `description:"是否可编辑"`
  110. DeleteButton bool `description:"是否可删除"`
  111. MoveButton bool `description:"是否可移动"`
  112. ShowEdbRelation bool `description:"是否展示关联指标"`
  113. ShowChartRelation bool `description:"是否展示关联图表"`
  114. }
  115. // GetEdbInfoByName 根据指标名称获取所有的指标数据列表
  116. func GetEdbInfoByName(edbName string) (items []*EdbInfoList, err error) {
  117. o := orm.NewOrm()
  118. sql := ` SELECT * FROM edb_info WHERE edb_name=? `
  119. _, err = o.Raw(sql, edbName).QueryRows(&items)
  120. return
  121. }
  122. // ModifyEdbInfoNameSource 根据来源修改指标名称
  123. func ModifyEdbInfoNameSource(edbNameSource string, edbInfoId int) (err error) {
  124. o := orm.NewOrm()
  125. sql := ` UPDATE edb_info SET edb_name_source=? WHERE edb_info_id = ? `
  126. _, err = o.Raw(sql, edbNameSource, edbInfoId).Exec()
  127. return
  128. }
  129. // GetEdbInfoById 根据指标id获取指标信息
  130. func GetEdbInfoById(edbInfoId int) (item *EdbInfo, err error) {
  131. o := orm.NewOrm()
  132. sql := ` SELECT * FROM edb_info WHERE edb_info_id=? `
  133. err = o.Raw(sql, edbInfoId).QueryRow(&item)
  134. return
  135. }
  136. // GetEdbInfoByUniqueCode 根据指标唯一编码获取指标信息
  137. func GetEdbInfoByUniqueCode(uniqueCode string) (item *EdbInfo, err error) {
  138. o := orm.NewOrm()
  139. sql := ` SELECT * FROM edb_info WHERE unique_code=? `
  140. err = o.Raw(sql, uniqueCode).QueryRow(&item)
  141. return
  142. }
  143. // GetEdbInfoByIdList 根据指标id列表获取指标信息
  144. func GetEdbInfoByIdList(edbInfoIdList []int) (items []*EdbInfo, err error) {
  145. num := len(edbInfoIdList)
  146. if num <= 0 {
  147. return
  148. }
  149. o := orm.NewOrm()
  150. sql := ` SELECT * FROM edb_info WHERE edb_info_id in (` + utils.GetOrmInReplace(num) + `) `
  151. _, err = o.Raw(sql, edbInfoIdList).QueryRows(&items)
  152. return
  153. }
  154. // Update 更新EdbInfo信息
  155. func (edbInfo *EdbInfo) Update(cols []string) (err error) {
  156. o := orm.NewOrm()
  157. _, err = o.Update(edbInfo, cols...)
  158. return
  159. }
  160. // EdbInfoSearchData
  161. type EdbInfoSearchData struct {
  162. EdbDataId int `description:"数据ID"`
  163. DataTime string `description:"数据日期"`
  164. Value float64 `description:"数据"`
  165. EdbCode string `description:"指标编码"`
  166. }
  167. // GetEdbDataListAll 获取指标数据列表 order:1升序,其余值为降序
  168. func GetEdbDataListAll(condition string, pars []interface{}, source, subSource, order int) (item []*EdbInfoSearchData, err error) {
  169. o := orm.NewOrm()
  170. sql := ``
  171. tableName := GetEdbDataTableName(source, subSource)
  172. sql = ` SELECT * FROM %s WHERE 1=1 `
  173. sql = fmt.Sprintf(sql, tableName)
  174. if condition != "" {
  175. sql += condition
  176. }
  177. if order == 1 {
  178. sql += ` ORDER BY data_time ASC `
  179. } else {
  180. sql += ` ORDER BY data_time DESC `
  181. }
  182. _, err = o.Raw(sql, pars).QueryRows(&item)
  183. return
  184. }
  185. // 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
  186. func GetEdbDataListAllByTo(to orm.TxOrmer, condition string, pars []interface{}, source, subSource, order int) (item []*EdbInfoSearchData, err error) {
  187. sql := ``
  188. tableName := GetEdbDataTableName(source, subSource)
  189. sql = ` SELECT * FROM %s WHERE 1=1 `
  190. sql = fmt.Sprintf(sql, tableName)
  191. if condition != "" {
  192. sql += condition
  193. }
  194. if order == 1 {
  195. sql += ` ORDER BY data_time ASC `
  196. } else {
  197. sql += ` ORDER BY data_time DESC `
  198. }
  199. _, err = to.Raw(sql, pars).QueryRows(&item)
  200. return
  201. }
  202. // EdbInfoMaxAndMinInfo 指标最新数据记录结构体
  203. type EdbInfoMaxAndMinInfo struct {
  204. MinDate string `description:"最小日期"`
  205. MaxDate string `description:"最大日期"`
  206. MinValue float64 `description:"最小值"`
  207. MaxValue float64 `description:"最大值"`
  208. LatestValue float64 `description:"最新值"`
  209. LatestDate string `description:"实际数据最新日期"`
  210. EndValue float64 `description:"最新值"`
  211. }
  212. // GetEdbInfoMaxAndMinInfo 获取指标的最新数据记录信息
  213. func GetEdbInfoMaxAndMinInfo(source, subSource int, edbCode string) (item *EdbInfoMaxAndMinInfo, err error) {
  214. o := orm.NewOrm()
  215. sql := ``
  216. tableName := GetEdbDataTableName(source, subSource)
  217. 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=? `
  218. sql = fmt.Sprintf(sql, tableName)
  219. err = o.Raw(sql, edbCode).QueryRow(&item)
  220. var latest_value float64
  221. sql = ` SELECT value AS latest_value FROM %s WHERE edb_code=? ORDER BY data_time DESC LIMIT 1 `
  222. sql = fmt.Sprintf(sql, tableName)
  223. err = o.Raw(sql, edbCode).QueryRow(&latest_value)
  224. item.LatestValue = latest_value
  225. return
  226. }
  227. type EdbIndoDataUpdateTime struct {
  228. MinDate string `description:"本次更新,数据发生变化的最早日期"`
  229. }
  230. // GetEdbDataUpdateTimeByModify 获取指标的刷新时间获取最早的一条记录
  231. func GetEdbDataUpdateTimeByModify(source, subSource int, edbCode string, dataUpdateTime string) (item *EdbIndoDataUpdateTime, err error) {
  232. o := orm.NewOrm()
  233. sql := ``
  234. tableName := GetEdbDataTableName(source, subSource)
  235. sql = ` SELECT MIN(data_time) AS min_date FROM %s WHERE edb_code=? and modify_time>=?`
  236. sql = fmt.Sprintf(sql, tableName)
  237. err = o.Raw(sql, edbCode, dataUpdateTime).QueryRow(&item)
  238. return
  239. }
  240. // ModifyEdbInfoMaxAndMinInfo 修改指标的最新数据信息
  241. func ModifyEdbInfoMaxAndMinInfo(edbInfoId int, item *EdbInfoMaxAndMinInfo) (err error) {
  242. o := orm.NewOrm()
  243. 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=? `
  244. _, err = o.Raw(sql, item.MinDate, item.MaxDate, item.MinValue, item.MaxValue, item.MaxDate, item.LatestValue, item.LatestValue, edbInfoId).Exec()
  245. return
  246. }
  247. // ModifyEdbTimeAndLastInfo 修改指标的最新数据信息(除上下限)
  248. func ModifyEdbTimeAndLastInfo(edbInfoId int, item *EdbInfoMaxAndMinInfo) (err error) {
  249. o := orm.NewOrm()
  250. 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 = ?`
  251. _, err = o.Raw(sql, item.MinDate, item.MaxDate, item.MaxDate, item.LatestValue, item.LatestValue, edbInfoId).Exec()
  252. return
  253. }
  254. // ModifyEdbDataUpdateTime 修改指标刷新,本次数据刷新的最早日期
  255. func ModifyEdbDataUpdateTime(edbInfoId int, dataUpdateTime, erDataUpdateDate string) (err error) {
  256. o := orm.NewOrm()
  257. sql := `UPDATE edb_info SET data_update_time = ?, er_data_update_date = ?, modify_time = NOW() WHERE edb_info_id = ?`
  258. _, err = o.Raw(sql, dataUpdateTime, erDataUpdateDate, edbInfoId).Exec()
  259. return
  260. }
  261. // GetEdbDataCount 获取edb指标数据的数量; order:1升序,其余值为降序
  262. func GetEdbDataCount(condition string, pars []interface{}, source, subSource int) (count int, err error) {
  263. o := orm.NewOrm()
  264. sql := ``
  265. tableName := GetEdbDataTableName(source, subSource)
  266. sql = ` SELECT COUNT(1) AS count FROM %s WHERE 1=1 `
  267. sql = fmt.Sprintf(sql, tableName)
  268. if condition != "" {
  269. sql += condition
  270. }
  271. err = o.Raw(sql, pars).QueryRow(&count)
  272. return
  273. }
  274. // GetLastEdbData 获取最近的一条指标数据
  275. func GetLastEdbData(condition string, pars []interface{}, source, subSource int) (item *EdbInfoSearchData, err error) {
  276. o := orm.NewOrm()
  277. sql := ``
  278. tableName := GetEdbDataTableName(source, subSource)
  279. sql = ` SELECT * FROM %s WHERE 1=1 `
  280. sql = fmt.Sprintf(sql, tableName)
  281. if condition != "" {
  282. sql += condition
  283. }
  284. sql += ` ORDER BY data_time DESC `
  285. err = o.Raw(sql, pars).QueryRow(&item)
  286. return
  287. }
  288. // GetEdbInfoByEdbCode 根据指标code获取指标信息
  289. func GetEdbInfoByEdbCode(source int, edbCode string) (item *EdbInfo, err error) {
  290. o := orm.NewOrm()
  291. sql := ` SELECT * FROM edb_info WHERE source=? AND edb_code=? `
  292. err = o.Raw(sql, source, edbCode).QueryRow(&item)
  293. return
  294. }
  295. // GetEdbInfoOnlyByEdbCode 仅根据指标code获取指标信息
  296. func GetEdbInfoOnlyByEdbCode(edbCode string) (item *EdbInfo, err error) {
  297. o := orm.NewOrm()
  298. sql := ` SELECT * FROM edb_info WHERE edb_code=? `
  299. err = o.Raw(sql, edbCode).QueryRow(&item)
  300. return
  301. }
  302. // GetEdbInfoCalculateListByCondition 获取指标关系列表
  303. func GetEdbInfoCalculateListByCondition(condition string, pars []interface{}) (items []*EdbInfoCalculateMapping, err error) {
  304. o := orm.NewOrm()
  305. sql := ` SELECT * FROM edb_info_calculate_mapping WHERE 1=1 `
  306. if condition != "" {
  307. sql += condition
  308. }
  309. _, err = o.Raw(sql, pars).QueryRows(&items)
  310. return
  311. }
  312. // GetEdbInfoCalculateCountByCondition 获取关联指标数量
  313. func GetEdbInfoCalculateCountByCondition(condition string, pars []interface{}) (count int, err error) {
  314. o := orm.NewOrm()
  315. sql := ` SELECT COUNT(1) AS count FROM edb_info_calculate_mapping WHERE 1=1 `
  316. if condition != "" {
  317. sql += condition
  318. }
  319. err = o.Raw(sql, pars).QueryRow(&count)
  320. return
  321. }
  322. // 优化版本-处理数据精度问题
  323. type EdbInfoSearchDataV1 struct {
  324. EdbDataId int `description:"数据ID"`
  325. DataTime string `description:"数据日期"`
  326. Value string `description:"数据"`
  327. }
  328. // 优化版本-处理数据精度问题
  329. func GetEdbDataListAllV1(condition string, pars []interface{}, source, subSource, order int) (item []*EdbInfoSearchDataV1, err error) {
  330. o := orm.NewOrm()
  331. sql := ``
  332. tableName := GetEdbDataTableName(source, subSource)
  333. sql = ` SELECT * FROM %s WHERE 1=1 `
  334. sql = fmt.Sprintf(sql, tableName)
  335. if condition != "" {
  336. sql += condition
  337. }
  338. if order == 1 {
  339. sql += ` ORDER BY data_time ASC `
  340. } else {
  341. sql += ` ORDER BY data_time DESC `
  342. }
  343. _, err = o.Raw(sql, pars).QueryRows(&item)
  344. return
  345. }
  346. // GetEdbDataListAllV1ByTo 通过事务链接获取数据列表
  347. func GetEdbDataListAllV1ByTo(to orm.TxOrmer, condition string, pars []interface{}, source, subSource, order int) (item []*EdbInfoSearchDataV1, err error) {
  348. sql := ``
  349. tableName := GetEdbDataTableName(source, subSource)
  350. sql = ` SELECT * FROM %s WHERE 1=1 `
  351. sql = fmt.Sprintf(sql, tableName)
  352. if condition != "" {
  353. sql += condition
  354. }
  355. if order == 1 {
  356. sql += ` ORDER BY data_time ASC `
  357. } else {
  358. sql += ` ORDER BY data_time DESC `
  359. }
  360. _, err = to.Raw(sql, pars).QueryRows(&item)
  361. return
  362. }
  363. // GetEdbInfoByCondition 获取指标列表
  364. func GetEdbInfoByCondition(condition string, pars []interface{}, order int) (item []*EdbInfo, err error) {
  365. o := orm.NewOrm()
  366. sql := ` SELECT * FROM edb_info WHERE 1=1 `
  367. if condition != "" {
  368. sql += condition
  369. }
  370. if order == 1 {
  371. sql += ` ORDER BY end_date ASC `
  372. } else {
  373. sql += ` ORDER BY edb_info_id ASC `
  374. }
  375. _, err = o.Raw(sql, pars).QueryRows(&item)
  376. return
  377. }
  378. // UnifiedModifyEdbInfoMaxAndMinInfo 统一修改指标的最大最小值
  379. func UnifiedModifyEdbInfoMaxAndMinInfo(edbInfo *EdbInfo) (err error, errMsg string) {
  380. // 修改最大最小值
  381. maxAndMinItem, err := GetEdbInfoMaxAndMinInfo(edbInfo.Source, edbInfo.SubSource, edbInfo.EdbCode)
  382. if err != nil {
  383. if err.Error() == utils.ErrNoRow() {
  384. err = nil
  385. return
  386. }
  387. errMsg = "刷新指标失败!"
  388. err = errors.New("获取指标最大最小值失败,err:" + err.Error())
  389. return
  390. }
  391. if maxAndMinItem != nil {
  392. // 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
  393. if edbInfo.ManualSave == 1 {
  394. err = ModifyEdbTimeAndLastInfo(edbInfo.EdbInfoId, maxAndMinItem)
  395. if err != nil {
  396. errMsg = "刷新指标失败!"
  397. err = errors.New("修改指标最新日期和数据失败,err:" + err.Error())
  398. return
  399. }
  400. } else {
  401. err = ModifyEdbInfoMaxAndMinInfo(edbInfo.EdbInfoId, maxAndMinItem)
  402. if err != nil {
  403. errMsg = "刷新指标失败!"
  404. err = errors.New("修改指标最大最小值失败,err:" + err.Error())
  405. return
  406. }
  407. }
  408. }
  409. // 修改关联的预测指标
  410. go ModifyPredictEdbInfoMaxAndMinInfoBySourceEdbInfoId(edbInfo.EdbInfoId, maxAndMinItem)
  411. return
  412. }
  413. // UnifiedModifyEdbInfoMaxAndMinInfoDataUpdate 统一修改指标的最大最小值以及数据更新时间点
  414. func UnifiedModifyEdbInfoMaxAndMinInfoDataUpdate(edbInfo *EdbInfo, dataUpdateTime string) (erDataUpdateDate string, err error, errMsg string) {
  415. err, errMsg = UnifiedModifyEdbInfoMaxAndMinInfo(edbInfo)
  416. if err != nil {
  417. return
  418. }
  419. // 获取本次刷新,指标数据更新的最早日期
  420. erDataUpdateTime, tErr := GetEdbDataUpdateTimeByModify(edbInfo.Source, edbInfo.SubSource, edbInfo.EdbCode, dataUpdateTime)
  421. if tErr != nil {
  422. if tErr.Error() != utils.ErrNoRow() { //本次刷新指标数据无变化
  423. errMsg = "刷新指标失败!"
  424. err = errors.New("查询指标刷新,数据更新的最早日期失败,err:" + tErr.Error())
  425. return
  426. }
  427. } else if erDataUpdateTime.MinDate != "" {
  428. err = ModifyEdbDataUpdateTime(edbInfo.EdbInfoId, dataUpdateTime, erDataUpdateTime.MinDate)
  429. if err != nil {
  430. errMsg = "刷新指标失败!"
  431. err = errors.New("修改指标数据更新的最早日期失败,err:" + tErr.Error())
  432. return
  433. }
  434. erDataUpdateDate = erDataUpdateTime.MinDate
  435. }
  436. return
  437. }
  438. // UnifiedModifyPredictEdbInfoMaxAndMinInfo 统一修改预测运算指标的最大最小值
  439. func UnifiedModifyPredictEdbInfoMaxAndMinInfo(edbInfo *EdbInfo, latestDateStr string, latestValue float64) (err error, errMsg string) {
  440. // 修改最大最小值
  441. maxAndMinItem, err := GetEdbInfoMaxAndMinInfo(edbInfo.Source, edbInfo.SubSource, edbInfo.EdbCode)
  442. if err != nil {
  443. if err.Error() == utils.ErrNoRow() {
  444. err = nil
  445. return
  446. }
  447. errMsg = "刷新指标失败!"
  448. err = errors.New("获取指标最大最小值失败,err:" + err.Error())
  449. return
  450. }
  451. // 最晚的日期的值
  452. maxAndMinItem.EndValue = maxAndMinItem.LatestValue
  453. if maxAndMinItem != nil {
  454. maxAndMinItem.LatestDate = latestDateStr
  455. maxAndMinItem.LatestValue = latestValue
  456. err = ModifyPredictEdbInfoMaxAndMinInfo(edbInfo.EdbInfoId, maxAndMinItem)
  457. if err != nil {
  458. errMsg = "刷新指标失败!"
  459. err = errors.New("修改指标最大最小值失败,err:" + err.Error())
  460. return
  461. }
  462. }
  463. return
  464. }
  465. // GetChartPredictEdbInfoDataListByConfList 获取图表的预测指标的未来数据
  466. func GetChartPredictEdbInfoDataListByConfList(predictEdbConfList []*PredictEdbConfAndData, filtrateStartDateStr, latestDateStr, endDateStr, frequency, dataDateType string, realPredictEdbInfoData []*EdbInfoSearchData) (predictEdbInfoData []*EdbInfoSearchData, minValue, maxValue float64, err error) {
  467. endDate, err := time.ParseInLocation(utils.FormatDate, endDateStr, time.Local)
  468. if err != nil {
  469. return
  470. }
  471. latestDate, err := time.ParseInLocation(utils.FormatDate, latestDateStr, time.Local)
  472. if err != nil {
  473. return
  474. }
  475. // 开始预测数据的时间
  476. startDate := latestDate
  477. // 如果有筛选时间的话
  478. if filtrateStartDateStr != `` {
  479. filtrateStartDate, tmpErr := time.ParseInLocation(utils.FormatDate, filtrateStartDateStr, time.Local)
  480. if tmpErr != nil {
  481. err = tmpErr
  482. return
  483. }
  484. //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
  485. if filtrateStartDate.After(latestDate) {
  486. startDate = filtrateStartDate.AddDate(0, 0, -1)
  487. }
  488. }
  489. //var dateArr []string
  490. // 对应日期的值
  491. existMap := make(map[string]float64)
  492. for _, v := range realPredictEdbInfoData {
  493. //dateArr = append(dateArr, v.DataTime)
  494. existMap[v.DataTime] = v.Value
  495. }
  496. predictEdbInfoData = make([]*EdbInfoSearchData, 0)
  497. //dataValue := lastDataValue
  498. //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
  499. for _, predictEdbConf := range predictEdbConfList {
  500. dataEndTime := endDate
  501. if predictEdbConf.EndDate.Before(dataEndTime) {
  502. dataEndTime = predictEdbConf.EndDate
  503. }
  504. var tmpMinValue, tmpMaxValue float64 // 当前预测结果中的最大/最小值
  505. dayList := getPredictEdbDayList(startDate, dataEndTime, frequency, dataDateType)
  506. 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
  507. continue
  508. }
  509. switch predictEdbConf.RuleType {
  510. case 1: //1:最新
  511. var lastDataValue float64 //最新值
  512. tmpAllData := make([]*EdbInfoSearchData, 0)
  513. tmpAllData = append(tmpAllData, realPredictEdbInfoData...)
  514. tmpAllData = append(tmpAllData, predictEdbInfoData...)
  515. lenTmpAllData := len(tmpAllData)
  516. if lenTmpAllData > 0 {
  517. lastDataValue = tmpAllData[lenTmpAllData-1].Value
  518. }
  519. predictEdbInfoData = GetChartPredictEdbInfoDataListByRule1(predictEdbConf.PredictEdbInfoId, lastDataValue, dayList, predictEdbInfoData, existMap)
  520. tmpMaxValue = lastDataValue
  521. tmpMinValue = lastDataValue
  522. case 2: //2:固定值
  523. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  524. if tmpErr != nil {
  525. err = tmpErr
  526. return
  527. }
  528. dataValue, _ := tmpValDecimal.Float64()
  529. predictEdbInfoData = GetChartPredictEdbInfoDataListByRule1(predictEdbConf.PredictEdbInfoId, dataValue, dayList, predictEdbInfoData, existMap)
  530. tmpMaxValue = dataValue
  531. tmpMinValue = dataValue
  532. case 3: //3:同比
  533. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  534. if tmpErr != nil {
  535. err = tmpErr
  536. return
  537. }
  538. tbValue, _ := tmpValDecimal.Float64()
  539. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleTb(predictEdbConf.PredictEdbInfoId, tbValue, dayList, frequency, realPredictEdbInfoData, predictEdbInfoData, existMap)
  540. case 4: //4:同差
  541. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  542. if tmpErr != nil {
  543. err = tmpErr
  544. return
  545. }
  546. tcValue, _ := tmpValDecimal.Float64()
  547. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleTc(predictEdbConf.PredictEdbInfoId, tcValue, dayList, frequency, realPredictEdbInfoData, predictEdbInfoData, existMap)
  548. case 5: //5:环比
  549. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  550. if tmpErr != nil {
  551. err = tmpErr
  552. return
  553. }
  554. hbValue, _ := tmpValDecimal.Float64()
  555. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleHb(predictEdbConf.PredictEdbInfoId, hbValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  556. case 6: //6:环差
  557. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  558. if tmpErr != nil {
  559. err = tmpErr
  560. return
  561. }
  562. hcValue, _ := tmpValDecimal.Float64()
  563. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleHc(predictEdbConf.PredictEdbInfoId, hcValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  564. case 7: //7:N期移动均值
  565. nValue, tmpErr := strconv.Atoi(predictEdbConf.Value)
  566. if tmpErr != nil {
  567. err = tmpErr
  568. return
  569. }
  570. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleNMoveMeanValue(predictEdbConf.PredictEdbInfoId, nValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  571. case 8: //8:N期段线性外推值
  572. nValue, tmpErr := strconv.Atoi(predictEdbConf.Value)
  573. if tmpErr != nil {
  574. err = tmpErr
  575. return
  576. }
  577. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleNLinearRegression(predictEdbConf.PredictEdbInfoId, nValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  578. if err != nil {
  579. return
  580. }
  581. case 9: //9:动态环差”预测规则;
  582. hcDataMap := make(map[string]float64) //规则计算的环差值map
  583. if predictEdbConf.PredictEdbInfoId > 0 {
  584. tmpPredictEdbRuleDataList, tmpErr := GetPredictEdbRuleDataItemList(predictEdbConf.PredictEdbInfoId, predictEdbConf.ConfigId, startDate.Format(utils.FormatDate), endDate.Format(utils.FormatDate))
  585. if tmpErr != nil {
  586. err = tmpErr
  587. return
  588. }
  589. for _, v := range tmpPredictEdbRuleDataList {
  590. hcDataMap[v.DataTime] = v.Value
  591. }
  592. } else {
  593. if len(predictEdbConf.DataList) <= 0 {
  594. return
  595. }
  596. for _, v := range predictEdbConf.DataList {
  597. currentDate, tmpErr := time.ParseInLocation(utils.FormatDate, v.DataTime, time.Local)
  598. if tmpErr != nil {
  599. continue
  600. }
  601. // 只处理时间段内的数据
  602. if currentDate.Before(startDate) || currentDate.After(endDate) {
  603. continue
  604. }
  605. hcDataMap[v.DataTime] = v.Value
  606. }
  607. }
  608. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleTrendsHC(predictEdbConf.PredictEdbInfoId, dayList, realPredictEdbInfoData, predictEdbInfoData, hcDataMap, existMap)
  609. case 10: //10:根据 给定终值后插值 规则获取预测数据
  610. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  611. if tmpErr != nil {
  612. err = tmpErr
  613. return
  614. }
  615. finalValue, _ := tmpValDecimal.Float64()
  616. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleFinalValueHc(predictEdbConf.PredictEdbInfoId, finalValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  617. case 11: //11:根据 季节性 规则获取预测数据
  618. var seasonConf SeasonConf
  619. tmpErr := json.Unmarshal([]byte(predictEdbConf.Value), &seasonConf)
  620. if tmpErr != nil {
  621. err = errors.New("季节性配置信息异常:" + tmpErr.Error())
  622. return
  623. }
  624. calendar := "公历"
  625. if seasonConf.Calendar == "农历" {
  626. calendar = "农历"
  627. }
  628. yearList := make([]int, 0)
  629. //选择方式,1:连续N年;2:指定年份
  630. if seasonConf.YearType == 1 {
  631. if seasonConf.NValue < 1 {
  632. err = errors.New("连续N年不允许小于1")
  633. return
  634. }
  635. currYear := time.Now().Year()
  636. for i := 0; i < seasonConf.NValue; i++ {
  637. yearList = append(yearList, currYear-i-1)
  638. }
  639. } else {
  640. yearList = seasonConf.YearList
  641. }
  642. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleSeason(predictEdbConf.PredictEdbInfoId, yearList, calendar, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  643. if err != nil {
  644. return
  645. }
  646. case 12: //12:根据 移动平均同比 规则获取预测数据
  647. var moveAverageConf MoveAverageConf
  648. tmpErr := json.Unmarshal([]byte(predictEdbConf.Value), &moveAverageConf)
  649. if tmpErr != nil {
  650. err = errors.New("季节性配置信息异常:" + tmpErr.Error())
  651. return
  652. }
  653. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleMoveAverageTb(predictEdbConf.PredictEdbInfoId, moveAverageConf.NValue, moveAverageConf.Year, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  654. if err != nil {
  655. return
  656. }
  657. case 13: //13:根据 同比增速差值 规则获取预测数据
  658. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  659. if tmpErr != nil {
  660. err = tmpErr
  661. return
  662. }
  663. tbEndValue, _ := tmpValDecimal.Float64()
  664. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleTbzscz(predictEdbConf.PredictEdbInfoId, tbEndValue, dayList, frequency, realPredictEdbInfoData, predictEdbInfoData, existMap)
  665. case 14: //14:根据 一元线性拟合 规则获取预测数据
  666. var ruleConf RuleLineNhConf
  667. err = json.Unmarshal([]byte(predictEdbConf.Value), &ruleConf)
  668. if err != nil {
  669. err = errors.New("一元线性拟合规则配置信息异常:" + err.Error())
  670. return
  671. }
  672. // 规则计算的拟合残差值map
  673. newNhccDataMap := make(map[string]float64)
  674. if predictEdbConf.PredictEdbInfoId > 0 { //已经生成的动态数据
  675. tmpPredictEdbRuleDataList, tmpErr := GetPredictEdbRuleDataItemList(predictEdbConf.PredictEdbInfoId, predictEdbConf.ConfigId, startDate.Format(utils.FormatDate), endDate.Format(utils.FormatDate))
  676. if tmpErr != nil {
  677. err = tmpErr
  678. return
  679. }
  680. for _, v := range tmpPredictEdbRuleDataList {
  681. newNhccDataMap[v.DataTime] = v.Value
  682. }
  683. } else { //未生成的动态数据,需要使用外部传入的数据进行计算
  684. newNhccDataMap, err, _ = getCalculateNhccData(append(realPredictEdbInfoData, predictEdbInfoData...), ruleConf)
  685. }
  686. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleLineNh(predictEdbConf.PredictEdbInfoId, dayList, realPredictEdbInfoData, predictEdbInfoData, newNhccDataMap, existMap)
  687. if err != nil {
  688. return
  689. }
  690. 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;
  691. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleNAnnualAverage(predictEdbConf.PredictEdbInfoId, predictEdbConf.Value, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  692. if err != nil {
  693. return
  694. }
  695. case 16: //16:年度值倒推
  696. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleAnnualValueInversion(predictEdbConf.PredictEdbInfoId, predictEdbConf.Value, dayList, frequency, realPredictEdbInfoData, predictEdbInfoData, existMap)
  697. if err != nil {
  698. return
  699. }
  700. }
  701. // 下一个规则的开始日期
  702. {
  703. lenPredictEdbInfoData := len(predictEdbInfoData)
  704. if lenPredictEdbInfoData > 0 {
  705. tmpDataEndTime, _ := time.ParseInLocation(utils.FormatDate, predictEdbInfoData[lenPredictEdbInfoData-1].DataTime, time.Local)
  706. if startDate.Before(tmpDataEndTime) {
  707. startDate = tmpDataEndTime
  708. }
  709. }
  710. }
  711. if tmpMinValue < minValue {
  712. minValue = tmpMinValue
  713. }
  714. if tmpMaxValue < maxValue {
  715. maxValue = tmpMaxValue
  716. }
  717. }
  718. return
  719. }
  720. // GetPredictEdbDayList 获取预测指标日期列表
  721. // GetPredictEdbDayList 获取预测指标日期列表
  722. func getPredictEdbDayList(startDate, endDate time.Time, frequency, dataDateType string) (dayList []time.Time) {
  723. if dataDateType == `` {
  724. dataDateType = `交易日`
  725. }
  726. switch frequency {
  727. case "日度":
  728. for currDate := startDate.AddDate(0, 0, 1); currDate.Before(endDate) || currDate.Equal(endDate); currDate = currDate.AddDate(0, 0, 1) {
  729. // 如果日期类型是交易日的时候,那么需要将周六、日排除
  730. if dataDateType == `交易日` && (currDate.Weekday() == time.Sunday || currDate.Weekday() == time.Saturday) {
  731. continue
  732. }
  733. dayList = append(dayList, currDate)
  734. }
  735. case "周度":
  736. //nextDate := startDate.AddDate(0, 0, 7)
  737. for currDate := startDate.AddDate(0, 0, 7); currDate.Before(endDate) || currDate.Equal(endDate); currDate = currDate.AddDate(0, 0, 7) {
  738. dayList = append(dayList, currDate)
  739. }
  740. case "旬度":
  741. for currDate := startDate.AddDate(0, 0, 1); currDate.Before(endDate) || currDate.Equal(endDate); {
  742. nextDate := currDate.AddDate(0, 0, 1)
  743. //每个月的10号、20号、最后一天,那么就写入
  744. if nextDate.Day() == 11 || nextDate.Day() == 21 || nextDate.Day() == 1 {
  745. dayList = append(dayList, currDate)
  746. }
  747. currDate = nextDate
  748. }
  749. case "月度":
  750. for currDate := startDate; currDate.Before(endDate) || currDate.Equal(endDate); {
  751. currDate = time.Date(currDate.Year(), currDate.Month(), 1, 0, 0, 0, 0, time.Now().Location()).AddDate(0, 1, -1)
  752. if !currDate.After(endDate) && !currDate.Equal(startDate) {
  753. dayList = append(dayList, currDate)
  754. }
  755. currDate = currDate.AddDate(0, 0, 1)
  756. }
  757. case "季度":
  758. for currDate := startDate; currDate.Before(endDate) || currDate.Equal(endDate); {
  759. // 每月的最后一天
  760. currDate = time.Date(currDate.Year(), currDate.Month(), 1, 0, 0, 0, 0, time.Now().Location()).AddDate(0, 1, -1)
  761. if !currDate.After(endDate) && !currDate.Equal(startDate) {
  762. // 季度日期就写入,否则不写入
  763. if currDate.Month() == 3 || currDate.Month() == 6 || currDate.Month() == 9 || currDate.Month() == 12 {
  764. dayList = append(dayList, currDate)
  765. }
  766. }
  767. currDate = currDate.AddDate(0, 0, 1)
  768. }
  769. case "半年度":
  770. for currDate := startDate; currDate.Before(endDate) || currDate.Equal(endDate); {
  771. // 每月的最后一天
  772. currDate = time.Date(currDate.Year(), currDate.Month(), 1, 0, 0, 0, 0, time.Now().Location()).AddDate(0, 1, -1)
  773. if !currDate.After(endDate) && !currDate.Equal(startDate) {
  774. // 半年度日期就写入,否则不写入
  775. if currDate.Month() == 6 || currDate.Month() == 12 {
  776. dayList = append(dayList, currDate)
  777. }
  778. }
  779. currDate = currDate.AddDate(0, 0, 1)
  780. }
  781. case "年度":
  782. for currDate := startDate; currDate.Before(endDate) || currDate.Equal(endDate); {
  783. currDate = time.Date(currDate.Year()+1, 12, 31, 0, 0, 0, 0, time.Now().Location())
  784. if !currDate.After(endDate) && !currDate.Equal(startDate) {
  785. dayList = append(dayList, currDate)
  786. }
  787. }
  788. }
  789. return
  790. }
  791. // 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
  792. func GetPredictDataListByPredictEdbInfo(edbInfo *EdbInfo, order int, startDate string) (dataList []*EdbInfoSearchData, sourceEdbInfoItem *EdbInfo, err error, errMsg string) {
  793. // 查找该预测指标配置
  794. predictEdbConfList, err := GetPredictEdbConfAndDataListById(edbInfo.EdbInfoId)
  795. if err != nil && err.Error() != utils.ErrNoRow() {
  796. errMsg = "获取预测指标配置信息失败"
  797. return
  798. }
  799. if len(predictEdbConfList) == 0 {
  800. errMsg = "获取预测指标配置信息失败"
  801. err = errors.New(errMsg)
  802. return
  803. }
  804. predictEdbConf := predictEdbConfList[0]
  805. // 来源指标
  806. sourceEdbInfoItem, err = GetEdbInfoById(predictEdbConf.SourceEdbInfoId)
  807. if err != nil {
  808. if err.Error() == utils.ErrNoRow() {
  809. errMsg = "找不到来源指标信息"
  810. err = errors.New(errMsg)
  811. }
  812. return
  813. }
  814. dataList, err, errMsg = GetPredictDataListByPredictEdbConfList(edbInfo, sourceEdbInfoItem, predictEdbConfList, order, startDate)
  815. return
  816. }
  817. // 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
  818. func GetPredictDataListByPredictEdbConfList(edbInfo, sourceEdbInfoItem *EdbInfo, predictEdbConfList []*PredictEdbConfAndData, order int, startDate string) (dataList []*EdbInfoSearchData, err error, errMsg string) {
  819. allDataList := make([]*EdbInfoSearchData, 0)
  820. //获取指标数据(实际已生成)
  821. var condition string
  822. var pars []interface{}
  823. condition += " AND edb_info_id=? "
  824. pars = append(pars, sourceEdbInfoItem.EdbInfoId)
  825. if startDate != "" {
  826. condition += " AND data_time>=? "
  827. pars = append(pars, startDate)
  828. }
  829. tmpDataList, err := GetEdbDataListAll(condition, pars, sourceEdbInfoItem.Source, sourceEdbInfoItem.SubSource, 1)
  830. if err != nil {
  831. return
  832. }
  833. // 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
  834. if startDate != `` {
  835. allDataList, err = GetEdbDataListAll(" AND edb_info_id=? ", []interface{}{sourceEdbInfoItem.EdbInfoId}, sourceEdbInfoItem.Source, sourceEdbInfoItem.SubSource, 1)
  836. if err != nil {
  837. return
  838. }
  839. } else {
  840. allDataList = tmpDataList
  841. }
  842. // 获取预测指标未来的数据
  843. predictDataList := make([]*EdbInfoSearchData, 0)
  844. endDateStr := edbInfo.EndDate //预测指标的结束日期
  845. var predictMinValue, predictMaxValue float64
  846. // 如果有配置的预测规则,那么就进行预测
  847. if len(predictEdbConfList) > 0 {
  848. predictDataList, predictMinValue, predictMaxValue, err = GetChartPredictEdbInfoDataListByConfList(predictEdbConfList, startDate, sourceEdbInfoItem.LatestDate, endDateStr, edbInfo.Frequency, edbInfo.DataDateType, allDataList)
  849. if err != nil {
  850. return
  851. }
  852. }
  853. //order:1升序,其余值为降序
  854. if order == 1 {
  855. dataList = append(tmpDataList, predictDataList...)
  856. } else {
  857. // 先倒序预测数据
  858. lenPredictDataList := len(predictDataList)
  859. if lenPredictDataList > 0 {
  860. for k := range predictDataList {
  861. dataList = append(dataList, predictDataList[lenPredictDataList-k-1])
  862. }
  863. }
  864. // 接着倒序实际指标
  865. lenDataList := len(tmpDataList)
  866. for k := range tmpDataList {
  867. dataList = append(dataList, tmpDataList[lenDataList-k-1])
  868. }
  869. }
  870. if len(predictDataList) > 0 {
  871. // 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
  872. if edbInfo.MinValue > predictMinValue {
  873. edbInfo.MinValue = predictMinValue
  874. }
  875. // 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
  876. if edbInfo.MaxValue < predictMaxValue {
  877. edbInfo.MaxValue = predictMaxValue
  878. }
  879. }
  880. return
  881. }
  882. // GetPredictEdbDataListAll 获取该预测指标所有的数据 ,order:1升序,其余值为降序
  883. func GetPredictEdbDataListAll(edbInfo *EdbInfo, order int) (items []*EdbInfoSearchData, err error) {
  884. 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
  885. items, _, err, _ = GetPredictDataListByPredictEdbInfo(edbInfo, 1, "")
  886. } else {
  887. var condition string
  888. var pars []interface{}
  889. condition += " AND edb_info_id=? "
  890. pars = append(pars, edbInfo.EdbInfoId)
  891. items, err = GetEdbDataListAll(condition, pars, edbInfo.Source, edbInfo.SubSource, order)
  892. }
  893. return
  894. }
  895. // 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
  896. func GetPredictEdbDataListAllByStartDate(edbInfo *EdbInfo, order int, startDate string) (items []*EdbInfoSearchData, err error) {
  897. 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
  898. items, _, err, _ = GetPredictDataListByPredictEdbInfo(edbInfo, order, startDate)
  899. } else {
  900. var condition string
  901. var pars []interface{}
  902. condition += " AND edb_info_id=? "
  903. pars = append(pars, edbInfo.EdbInfoId)
  904. if startDate != "" {
  905. condition += " AND data_time>=? "
  906. pars = append(pars, startDate)
  907. }
  908. items, err = GetEdbDataListAll(condition, pars, edbInfo.Source, edbInfo.SubSource, order)
  909. }
  910. return
  911. }
  912. // ModifyPredictEdbInfoMaxAndMinInfo 修改预测指标的最新数据信息
  913. func ModifyPredictEdbInfoMaxAndMinInfo(edbInfoId int, item *EdbInfoMaxAndMinInfo) (err error) {
  914. o := orm.NewOrm()
  915. 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=? `
  916. _, err = o.Raw(sql, item.MinDate, item.MaxDate, item.MinValue, item.MaxValue, item.LatestDate, item.LatestValue, item.EndValue, edbInfoId).Exec()
  917. return
  918. }
  919. // ModifyCalculateEdbInfo 修改计算指标信息
  920. func ModifyCalculateEdbInfo(edbName, frequency, unit, calculateFormula string, classifyId, edbInfoId int) (err error) {
  921. o := orm.NewOrm()
  922. sql := ` UPDATE edb_info
  923. SET
  924. edb_name =?,
  925. edb_name_source =?,
  926. frequency = ?,
  927. unit = ?,
  928. classify_id = ?,
  929. calculate_formula=?,
  930. modify_time = NOW()
  931. WHERE edb_info_id = ?`
  932. _, err = o.Raw(sql, edbName, edbName, frequency, unit, classifyId, calculateFormula, edbInfoId).Exec()
  933. return
  934. }
  935. func GetEdbInfoItemByCondition(condition string, pars []interface{}) (item *EdbInfoList, err error) {
  936. o := orm.NewOrm()
  937. sql := ` SELECT * FROM edb_info WHERE 1=1 `
  938. if condition != "" {
  939. sql += condition
  940. }
  941. err = o.Raw(sql, pars).QueryRow(&item)
  942. return
  943. }
  944. func GetEdbInfoItemListByCondition() (items []*EdbInfoList, err error) {
  945. o := orm.NewOrm()
  946. sql := ` SELECT * FROM edb_info WHERE 1=1 `
  947. _, err = o.Raw(sql).QueryRows(&items)
  948. return
  949. }
  950. // EdbInfoDetailReq 指标详情请求
  951. type EdbInfoDetailReq struct {
  952. UniqueCode string `description:"指标唯一编码"`
  953. EdbCode string `description:"指标编码"`
  954. }
  955. // EdbInfoDetailResp 指标详情返回
  956. type EdbInfoDetailResp struct {
  957. SourceName string `description:"来源名称"`
  958. EdbCode string `description:"指标编码"`
  959. EdbName string `description:"指标名称"`
  960. EdbNameSource string `description:"指标名称来源"`
  961. Frequency string `description:"频率"`
  962. Unit string `description:"单位"`
  963. StartDate string `description:"起始日期"`
  964. EndDate string `description:"终止日期"`
  965. UniqueCode string `description:"指标唯一编码"`
  966. CreateTime time.Time
  967. ModifyTime time.Time
  968. MinValue float64 `description:"指标最小值"`
  969. MaxValue float64 `description:"指标最大值"`
  970. EdbNameEn string `description:"英文指标名称"`
  971. UnitEn string `description:"英文单位"`
  972. LatestDate string `description:"数据最新日期"`
  973. LatestValue float64 `description:"数据最新值"`
  974. ChartImage string `description:"图表图片"`
  975. DataList []*EdbInfoSearchData
  976. }
  977. type AddEdbInfoParams struct {
  978. Source int `description:"来源id"`
  979. EdbCode string `description:"指标编码"`
  980. EdbName string `description:"指标名称"`
  981. Frequency string `description:"频率"`
  982. Unit string `description:"单位"`
  983. ClassifyId int `description:"分类id"`
  984. TerminalCode string `description:"终端编码"`
  985. AdminId int `description:"创建人ID"`
  986. AdminName string `description:"创建人姓名"`
  987. }
  988. // EdbInfoAdd 添加指标到指标库
  989. func EdbInfoAdd(req *AddEdbInfoParams, serverUrl string, sysUserId int, sysUserRealName string) (edbInfo *EdbInfo, err error) {
  990. source := req.Source
  991. //判断指标名称是否存在
  992. var condition string
  993. var pars []interface{}
  994. //condition += " AND source=? "
  995. //pars = append(pars, source)
  996. condition += " AND edb_code=? "
  997. pars = append(pars, req.EdbCode)
  998. items, err := GetEdbInfoByCondition(condition, pars, 0)
  999. if err != nil {
  1000. err = errors.New("判断指标是否存在失败,Err:" + err.Error())
  1001. return
  1002. }
  1003. if len(items) > 0 {
  1004. sql := ` UPDATE edb_info SET classify_id=?,modify_time=NOW() WHERE edb_code=? `
  1005. o := orm.NewOrm()
  1006. _, err = o.Raw(sql, req.ClassifyId, req.EdbCode).Exec()
  1007. if err != nil {
  1008. err = errors.New("更新指标分类信息失败,Err:" + err.Error())
  1009. return
  1010. }
  1011. edbInfo = items[0]
  1012. return
  1013. }
  1014. edbInfo = new(EdbInfo)
  1015. edbInfo.Source = source
  1016. sourceNameMap := map[int]string{
  1017. utils.DATA_SOURCE_THS: "同花顺",
  1018. utils.DATA_SOURCE_WIND: "wind",
  1019. utils.DATA_SOURCE_PB: "彭博",
  1020. utils.DATA_SOURCE_PB_FINANCE: "彭博财务",
  1021. utils.DATA_SOURCE_MANUAL: "手工数据",
  1022. utils.DATA_SOURCE_LZ: "隆众",
  1023. utils.DATA_SOURCE_YS: "SMM",
  1024. utils.DATA_SOURCE_GL: "钢联",
  1025. utils.DATA_SOURCE_ZZ: "郑商所",
  1026. utils.DATA_SOURCE_DL: "大商所",
  1027. utils.DATA_SOURCE_SH: "上期所",
  1028. utils.DATA_SOURCE_CFFEX: "中金所",
  1029. utils.DATA_SOURCE_SHFE: "上期能源",
  1030. utils.DATA_SOURCE_GIE: "欧洲天然气",
  1031. utils.DATA_SOURCE_LT: "路透",
  1032. utils.DATA_SOURCE_COAL: "中国煤炭网",
  1033. utils.DATA_SOURCE_GOOGLE_TRAVEL: "our world in data",
  1034. utils.DATA_SOURCE_MYSTEEL_CHEMICAL: "钢联化工",
  1035. utils.DATA_SOURCE_EIA_STEO: "EIA STEO报告",
  1036. utils.DATA_SOURCE_COM_TRADE: "UN",
  1037. utils.DATA_SOURCE_SCI: "SCI",
  1038. utils.DATA_SOURCE_BAIINFO: "BAIINFO",
  1039. utils.DATA_SOURCE_STOCK_PLANT: "存量装置",
  1040. utils.DATA_SOURCE_NATIONAL_STATISTICS: "国家统计局",
  1041. utils.DATA_SOURCE_FUBAO: "富宝数据",
  1042. }
  1043. sourceName, ok := sourceNameMap[source]
  1044. if !ok {
  1045. edbSource := EdbSourceIdMap[source]
  1046. if edbSource != nil {
  1047. sourceName = edbSource.SourceName
  1048. }
  1049. if sourceName == "" {
  1050. err = errors.New("指标来源异常")
  1051. return
  1052. }
  1053. }
  1054. edbInfo.SourceName = sourceName
  1055. edbType := 1 //基础指标
  1056. if source == utils.DATA_SOURCE_STOCK_PLANT {
  1057. edbType = 2 //计算指标
  1058. }
  1059. var sourceIndexName string
  1060. // 钢联化工需要校验下信息是否完整
  1061. if source == utils.DATA_SOURCE_MYSTEEL_CHEMICAL {
  1062. indexObj := new(BaseFromMysteelChemicalIndex)
  1063. tmpItem, tmpErr := indexObj.GetIndexItem(req.EdbCode)
  1064. if tmpErr != nil {
  1065. err = tmpErr
  1066. return
  1067. }
  1068. if tmpItem == nil || tmpItem.IndexName == `` {
  1069. err = errors.New("指标信息不全")
  1070. return
  1071. }
  1072. }
  1073. //获取该层级下最大的排序数
  1074. maxSort, err := GetEdbAndClassifyMaxSort(req.ClassifyId, 0)
  1075. if err != nil {
  1076. err = errors.New("查询排序信息失败,Err:" + err.Error())
  1077. return
  1078. }
  1079. edbInfo.EdbCode = req.EdbCode
  1080. edbInfo.EdbName = req.EdbName
  1081. edbInfo.EdbNameSource = req.EdbName
  1082. edbInfo.Frequency = req.Frequency
  1083. edbInfo.Unit = req.Unit
  1084. edbInfo.ClassifyId = req.ClassifyId
  1085. edbInfo.SysUserId = sysUserId
  1086. edbInfo.SysUserRealName = sysUserRealName
  1087. edbInfo.StartDate = "1990-01-01"
  1088. edbInfo.CreateTime = time.Now()
  1089. edbInfo.ModifyTime = time.Now()
  1090. edbInfo.ServerUrl = serverUrl
  1091. edbInfo.TerminalCode = req.TerminalCode
  1092. edbInfo.Sort = maxSort + 1
  1093. timestamp := strconv.FormatInt(time.Now().UnixNano(), 10)
  1094. edbInfo.UniqueCode = utils.MD5(utils.DATA_PREFIX + "_" + req.EdbCode + timestamp)
  1095. itemVal, err := GetEdbInfoMaxAndMinInfo(source, utils.DATA_SUB_SOURCE_EDB, req.EdbCode)
  1096. if itemVal != nil && err == nil {
  1097. edbInfo.MaxValue = itemVal.MaxValue
  1098. edbInfo.MinValue = itemVal.MinValue
  1099. }
  1100. edbInfo.EdbType = edbType
  1101. edbInfo.SourceIndexName = sourceIndexName
  1102. edbInfoId, err := AddEdbInfo(edbInfo)
  1103. if err != nil {
  1104. err = errors.New("保存失败,Err:" + err.Error())
  1105. return
  1106. }
  1107. edbInfo.EdbInfoId = int(edbInfoId)
  1108. return
  1109. }
  1110. // EdbInfoRefreshCheckReq 指标数据更新情况查询
  1111. type EdbInfoRefreshCheckReq struct {
  1112. Source int `description:"来源id"`
  1113. LatestDate string `description:"数据最新日期"`
  1114. FrequencyBatch string `description:"更新频度"`
  1115. }
  1116. // EdbInfoRefreshCheckResp 指标数据更新情况查询
  1117. type EdbInfoRefreshCheckResp struct {
  1118. UpdateNum int `description:"已更新指标数"`
  1119. UnUpdateNum int `description:"未更新指标数"`
  1120. }
  1121. // ResetEdbClassifyReq 指标重新分类请求体
  1122. type ResetEdbClassifyReq struct {
  1123. IndexCode string `description:"指标编码"`
  1124. ClassifyFirst string `description:"一级分类名称"`
  1125. ClassifySecond string `description:"二级分类名称"`
  1126. ClassifyThird string `description:"三级分类名称"`
  1127. }
  1128. // GetEdbInfoMaxSortByClassifyId 获取分类下指标的最大的排序数
  1129. func GetEdbInfoMaxSortByClassifyId(classifyId int) (sort int, err error) {
  1130. o := orm.NewOrm()
  1131. sql := `SELECT Max(sort) AS sort FROM edb_info WHERE classify_id=? `
  1132. err = o.Raw(sql, classifyId).QueryRow(&sort)
  1133. return
  1134. }
  1135. func GetEdbAndClassifyMaxSort(parentId int, classifyType uint8) (maxSort int, err error) {
  1136. //获取该层级下最大的排序数
  1137. classifyMaxSort, err := GetEdbClassifyMaxSort(parentId, classifyType)
  1138. if err != nil {
  1139. return
  1140. }
  1141. maxSort = classifyMaxSort
  1142. edbMaxSort, err := GetEdbInfoMaxSortByClassifyId(parentId)
  1143. if err != nil {
  1144. return
  1145. }
  1146. if maxSort < edbMaxSort {
  1147. maxSort = edbMaxSort
  1148. }
  1149. return
  1150. }
  1151. // CalculateEdbExtra 指标运算额外配置
  1152. type CalculateEdbExtra struct {
  1153. DateTag string `description:"时间序列的生成方式,all 表示所选指标的时间序列并集"`
  1154. }
  1155. // CalculateLjzEdbExtra 累计值额外配置
  1156. type CalculateLjzEdbExtra struct {
  1157. LastValType int `description:"最新值处理:0默认、均值填充"`
  1158. }