edb_info.go 55 KB

1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859606162636465666768697071727374757677787980818283848586878889909192939495969798991001011021031041051061071081091101111121131141151161171181191201211221231241251261271281291301311321331341351361371381391401411421431441451461471481491501511521531541551561571581591601611621631641651661671681691701711721731741751761771781791801811821831841851861871881891901911921931941951961971981992002012022032042052062072082092102112122132142152162172182192202212222232242252262272282292302312322332342352362372382392402412422432442452462472482492502512522532542552562572582592602612622632642652662672682692702712722732742752762772782792802812822832842852862872882892902912922932942952962972982993003013023033043053063073083093103113123133143153163173183193203213223233243253263273283293303313323333343353363373383393403413423433443453463473483493503513523533543553563573583593603613623633643653663673683693703713723733743753763773783793803813823833843853863873883893903913923933943953963973983994004014024034044054064074084094104114124134144154164174184194204214224234244254264274284294304314324334344354364374384394404414424434444454464474484494504514524534544554564574584594604614624634644654664674684694704714724734744754764774784794804814824834844854864874884894904914924934944954964974984995005015025035045055065075085095105115125135145155165175185195205215225235245255265275285295305315325335345355365375385395405415425435445455465475485495505515525535545555565575585595605615625635645655665675685695705715725735745755765775785795805815825835845855865875885895905915925935945955965975985996006016026036046056066076086096106116126136146156166176186196206216226236246256266276286296306316326336346356366376386396406416426436446456466476486496506516526536546556566576586596606616626636646656666676686696706716726736746756766776786796806816826836846856866876886896906916926936946956966976986997007017027037047057067077087097107117127137147157167177187197207217227237247257267277287297307317327337347357367377387397407417427437447457467477487497507517527537547557567577587597607617627637647657667677687697707717727737747757767777787797807817827837847857867877887897907917927937947957967977987998008018028038048058068078088098108118128138148158168178188198208218228238248258268278288298308318328338348358368378388398408418428438448458468478488498508518528538548558568578588598608618628638648658668678688698708718728738748758768778788798808818828838848858868878888898908918928938948958968978988999009019029039049059069079089099109119129139149159169179189199209219229239249259269279289299309319329339349359369379389399409419429439449459469479489499509519529539549559569579589599609619629639649659669679689699709719729739749759769779789799809819829839849859869879889899909919929939949959969979989991000100110021003100410051006100710081009101010111012101310141015101610171018101910201021102210231024102510261027102810291030103110321033103410351036103710381039104010411042104310441045104610471048104910501051105210531054105510561057105810591060106110621063106410651066106710681069107010711072107310741075107610771078107910801081108210831084108510861087108810891090109110921093109410951096109710981099110011011102110311041105110611071108110911101111111211131114111511161117111811191120112111221123112411251126112711281129113011311132113311341135113611371138113911401141114211431144114511461147114811491150115111521153115411551156115711581159116011611162116311641165116611671168116911701171117211731174117511761177117811791180118111821183118411851186118711881189119011911192119311941195119611971198119912001201120212031204120512061207120812091210121112121213121412151216121712181219122012211222122312241225122612271228122912301231123212331234123512361237123812391240124112421243124412451246124712481249125012511252125312541255125612571258125912601261126212631264126512661267126812691270127112721273127412751276127712781279128012811282128312841285128612871288128912901291129212931294129512961297129812991300130113021303130413051306130713081309131013111312131313141315131613171318131913201321132213231324132513261327132813291330133113321333133413351336133713381339134013411342134313441345134613471348134913501351135213531354135513561357135813591360136113621363136413651366136713681369137013711372137313741375137613771378137913801381138213831384138513861387138813891390139113921393139413951396139713981399140014011402140314041405140614071408140914101411141214131414141514161417141814191420142114221423142414251426142714281429143014311432143314341435143614371438143914401441144214431444144514461447144814491450145114521453145414551456145714581459146014611462146314641465146614671468146914701471147214731474
  1. package models
  2. import (
  3. "encoding/json"
  4. "errors"
  5. "eta/eta_index_lib/models/mgo"
  6. "eta/eta_index_lib/utils"
  7. "fmt"
  8. "github.com/beego/beego/v2/client/orm"
  9. "github.com/shopspring/decimal"
  10. "go.mongodb.org/mongo-driver/bson"
  11. "strconv"
  12. "time"
  13. )
  14. type EdbInfo struct {
  15. EdbInfoId int `orm:"column(edb_info_id);pk"`
  16. EdbInfoType int `description:"指标类型,0:普通指标,1:预测指标"`
  17. SourceName string `description:"来源名称"`
  18. Source int `description:"来源id"`
  19. EdbCode string `description:"指标编码"`
  20. EdbName string `description:"指标名称"`
  21. EdbNameEn string `description:"英文指标名称"`
  22. EdbNameSource string `description:"指标名称来源"`
  23. Frequency string `description:"频率"`
  24. Unit string `description:"单位"`
  25. UnitEn string `description:"英文单位"`
  26. StartDate string `description:"起始日期"`
  27. EndDate string `description:"终止日期"`
  28. ClassifyId int `description:"分类id"`
  29. SysUserId int
  30. SysUserRealName string
  31. UniqueCode string `description:"指标唯一编码"`
  32. CreateTime time.Time
  33. ModifyTime time.Time
  34. BaseModifyTime time.Time
  35. MinValue float64 `description:"指标最小值"`
  36. MaxValue float64 `description:"指标最大值"`
  37. CalculateFormula string `description:"计算公式"`
  38. EdbType int `description:"指标类型:1:基础指标,2:计算指标"`
  39. IsUpdate int `description:"当天是否已更新,1:未更新,2:已更新"`
  40. Sort int `description:"排序字段"`
  41. LatestDate string `description:"数据最新日期(实际日期)"`
  42. LatestValue float64 `description:"数据最新值(实际值)"`
  43. EndValue float64 `description:"数据的最新值(预测日期的最新值)"`
  44. MoveType int `description:"移动方式:1:领先(默认),2:滞后"`
  45. MoveFrequency string `description:"移动频度"`
  46. NoUpdate int8 `description:"是否停止更新,0:继续更新;1:停止更新"`
  47. ServerUrl string `description:"服务器地址"`
  48. ChartImage string `description:"图表图片"`
  49. Calendar string `description:"公历/农历" orm:"default(公历);"`
  50. 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)"`
  51. MaxEmptyType int `description:"MAX、MIN公式空值处理类型(1、等于0;2、跳过空值)"`
  52. DataDateType string `orm:"column(data_date_type);size(255);null;default(交易日)"`
  53. ManualSave int `description:"是否有手动保存过上下限: 0-否; 1-是"`
  54. TerminalCode string `description:"终端编码,用于配置在机器上"`
  55. DataUpdateTime string `description:"最近一次数据发生变化的时间"`
  56. ErDataUpdateDate string `description:"本次更新,数据发生变化的最早日期"`
  57. SourceIndexName string `description:"数据源中的指标名称"`
  58. SubSource int `description:"子数据来源:0:经济数据库,1:日期序列"`
  59. SubSourceName string `description:"子数据来源名称"`
  60. IndicatorCode string `description:"指标代码"`
  61. StockCode string `description:"证券代码"`
  62. Extra string `description:"指标的额外配置"`
  63. }
  64. func (e *EdbInfo) Add() (err error) {
  65. o := orm.NewOrm()
  66. _, err = o.Insert(e)
  67. return
  68. }
  69. // AddEdbInfo 添加指标
  70. func AddEdbInfo(item *EdbInfo) (lastId int64, err error) {
  71. o := orm.NewOrm()
  72. lastId, err = o.Insert(item)
  73. return
  74. }
  75. // EdbInfoList 指标数据列表
  76. type EdbInfoList struct {
  77. EdbInfoId int `orm:"column(edb_info_id);pk"`
  78. EdbInfoType int `description:"指标类型,0:普通指标,1:预测指标"`
  79. SourceName string `description:"来源名称"`
  80. Source int `description:"来源id"`
  81. EdbCode string `description:"指标编码"`
  82. EdbNameEn string `description:"英文指标名称"`
  83. EdbName string `description:"指标名称"`
  84. Frequency string `description:"频率"`
  85. FrequencyEn string `description:"英文频率"`
  86. Unit string `description:"单位"`
  87. UnitEn string `description:"英文单位"`
  88. StartDate string `description:"起始日期"`
  89. EndDate string `description:"终止日期"`
  90. LatestDate string `description:"数据最新日期(实际日期)"`
  91. LatestValue float64 `description:"数据最新值(实际值)"`
  92. EndValue float64 `description:"数据的最新值(预测日期的最新值)"`
  93. ClassifyId int `description:"分类id"`
  94. UniqueCode string `description:"指标唯一编码"`
  95. SysUserId int `description:"创建人id"`
  96. SysUserRealName string `description:"创建人姓名"`
  97. ModifyTime string `description:"最新修改时间"`
  98. CreateTime string `description:"创建时间"`
  99. EdbNameAlias string `json:"-" description:"指标名称,别名"`
  100. EdbType int `description:"指标类型:1:基础指标,2:计算指标"`
  101. ChartImage string `description:"图表图片"`
  102. RuleType int `description:"预测规则,1:最新,2:固定值"`
  103. FixedValue float64 `description:"固定值"`
  104. DataList []*EdbData `description:"实际指标数据"`
  105. PredictDataList []*EdbData `description:"预测指标数据"`
  106. Button EdbClassifyItemsButton `description:"操作权限"`
  107. IsEnEdb bool `description:"是否展示英文标识"`
  108. DataDateType string `description:"数据日期类型,枚举值:交易日、自然日"`
  109. 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)"`
  110. MaxEmptyType int `description:"MAX、MIN公式空值处理类型(1、等于0;2、跳过空值)"`
  111. SubSource int `description:"子数据来源:0:经济数据库,1:日期序列"`
  112. SubSourceName string `description:"子数据来源名称"`
  113. IndicatorCode string `description:"指标代码"`
  114. StockCode string `description:"证券代码"`
  115. NoUpdate int8 `description:"是否停止更新,0:继续更新;1:停止更新"`
  116. }
  117. // EdbClassifyItemsButton 操作按钮
  118. type EdbClassifyItemsButton struct {
  119. AddButton bool `description:"是否可添加"`
  120. OpButton bool `description:"是否可编辑"`
  121. DeleteButton bool `description:"是否可删除"`
  122. MoveButton bool `description:"是否可移动"`
  123. ShowEdbRelation bool `description:"是否展示关联指标"`
  124. ShowChartRelation bool `description:"是否展示关联图表"`
  125. }
  126. // GetEdbInfoByName 根据指标名称获取所有的指标数据列表
  127. func GetEdbInfoByName(edbName string) (items []*EdbInfoList, err error) {
  128. o := orm.NewOrm()
  129. sql := ` SELECT * FROM edb_info WHERE edb_name=? `
  130. _, err = o.Raw(sql, edbName).QueryRows(&items)
  131. return
  132. }
  133. // ModifyEdbInfoNameSource 根据来源修改指标名称
  134. func ModifyEdbInfoNameSource(edbNameSource string, edbInfoId int) (err error) {
  135. o := orm.NewOrm()
  136. sql := ` UPDATE edb_info SET edb_name_source=? WHERE edb_info_id = ? `
  137. _, err = o.Raw(sql, edbNameSource, edbInfoId).Exec()
  138. return
  139. }
  140. // GetEdbInfoById 根据指标id获取指标信息
  141. func GetEdbInfoById(edbInfoId int) (item *EdbInfo, err error) {
  142. o := orm.NewOrm()
  143. sql := ` SELECT * FROM edb_info WHERE edb_info_id=? `
  144. err = o.Raw(sql, edbInfoId).QueryRow(&item)
  145. return
  146. }
  147. // GetEdbInfoByUniqueCode 根据指标唯一编码获取指标信息
  148. func GetEdbInfoByUniqueCode(uniqueCode string) (item *EdbInfo, err error) {
  149. o := orm.NewOrm()
  150. sql := ` SELECT * FROM edb_info WHERE unique_code=? `
  151. err = o.Raw(sql, uniqueCode).QueryRow(&item)
  152. return
  153. }
  154. // GetEdbInfoByIdList 根据指标id列表获取指标信息
  155. func GetEdbInfoByIdList(edbInfoIdList []int) (items []*EdbInfo, err error) {
  156. num := len(edbInfoIdList)
  157. if num <= 0 {
  158. return
  159. }
  160. o := orm.NewOrm()
  161. sql := ` SELECT * FROM edb_info WHERE edb_info_id in (` + utils.GetOrmInReplace(num) + `) `
  162. _, err = o.Raw(sql, edbInfoIdList).QueryRows(&items)
  163. return
  164. }
  165. // Update 更新EdbInfo信息
  166. func (edbInfo *EdbInfo) Update(cols []string) (err error) {
  167. o := orm.NewOrm()
  168. _, err = o.Update(edbInfo, cols...)
  169. return
  170. }
  171. // EdbInfoSearchData
  172. type EdbInfoSearchData struct {
  173. EdbDataId int `description:"数据ID"`
  174. EdbInfoId int `description:"指标ID"`
  175. DataTime string `description:"数据日期"`
  176. Value float64 `description:"数据"`
  177. EdbCode string `description:"指标编码"`
  178. DataTimestamp int64 `description:"时间戳"`
  179. }
  180. type FindEdbDataListAllCond struct {
  181. EdbInfoId int
  182. StartDataTime string
  183. StartDataTimeCond string
  184. EndDataTime string
  185. EndDataTimeCond string
  186. }
  187. // GetEdbDataListAll
  188. // @Description: 获取指标数据列表 order:1升序,其余值为降序
  189. // @author: Roc
  190. // @datetime 2024-05-08 15:34:01
  191. // @param source int
  192. // @param subSource int
  193. // @param findEdbDataListAllCond FindEdbDataListAllCond
  194. // @param order int order:1升序,其余值为降序
  195. // @return item []*EdbInfoSearchData
  196. // @return err error
  197. func GetEdbDataListAll(source, subSource int, findEdbDataListAllCond FindEdbDataListAllCond, order int) (item []*EdbInfoSearchData, err error) {
  198. if source == utils.DATA_SOURCE_BUSINESS {
  199. return GetEdbDataListAllByMongo(source, subSource, findEdbDataListAllCond, order)
  200. }
  201. return GetEdbDataListAllByMysql(source, subSource, findEdbDataListAllCond, order)
  202. }
  203. // GetEdbDataListAllByMysql
  204. // @Description: 从mysql数据库中获取指标数据列表 order:1升序,其余值为降序
  205. // @author: Roc
  206. // @datetime 2024-05-08 15:32:55
  207. // @param source int
  208. // @param subSource int
  209. // @param findEdbDataListAllCond FindEdbDataListAllCond
  210. // @param order int
  211. // @return item []*EdbInfoSearchData
  212. // @return err error
  213. func GetEdbDataListAllByMysql(source, subSource int, findEdbDataListAllCond FindEdbDataListAllCond, order int) (item []*EdbInfoSearchData, err error) {
  214. if findEdbDataListAllCond.EdbInfoId <= 0 {
  215. return
  216. }
  217. to := orm.NewOrm()
  218. sql := ``
  219. tableName := GetEdbDataTableName(source, subSource)
  220. sql = ` SELECT * FROM %s WHERE 1=1 `
  221. sql = fmt.Sprintf(sql, tableName)
  222. var condition string
  223. var pars []interface{}
  224. condition += " AND edb_info_id=? "
  225. pars = append(pars, findEdbDataListAllCond.EdbInfoId)
  226. // 开始日期
  227. if findEdbDataListAllCond.StartDataTime != "" && findEdbDataListAllCond.StartDataTimeCond != `` {
  228. condition += fmt.Sprintf(" AND data_time %s ? ", findEdbDataListAllCond.StartDataTimeCond)
  229. pars = append(pars, findEdbDataListAllCond.StartDataTime)
  230. }
  231. // 结束日期
  232. if findEdbDataListAllCond.EndDataTime != "" && findEdbDataListAllCond.EndDataTimeCond != `` {
  233. condition += fmt.Sprintf(" AND data_time %s ? ", findEdbDataListAllCond.EndDataTimeCond)
  234. pars = append(pars, findEdbDataListAllCond.EndDataTime)
  235. }
  236. if condition != "" {
  237. sql += condition
  238. }
  239. if order == 1 {
  240. sql += ` ORDER BY data_time ASC `
  241. } else {
  242. sql += ` ORDER BY data_time DESC `
  243. }
  244. _, err = to.Raw(sql, pars).QueryRows(&item)
  245. return
  246. }
  247. // GetEdbDataListAllByTo
  248. // @Description: 根据事务链接获取指标数据列表 order:1升序,其余值为降序
  249. // @author: Roc
  250. // @datetime 2024-05-08 15:34:06
  251. // @param to orm.TxOrmer
  252. // @param source int
  253. // @param subSource int
  254. // @param findEdbDataListAllCond FindEdbDataListAllCond
  255. // @param order int
  256. // @return item []*EdbInfoSearchData
  257. // @return err error
  258. func GetEdbDataListAllByTo(to orm.TxOrmer, source, subSource int, findEdbDataListAllCond FindEdbDataListAllCond, order int) (item []*EdbInfoSearchData, err error) {
  259. if source == utils.DATA_SOURCE_BUSINESS {
  260. return GetEdbDataListAllByMongo(source, subSource, findEdbDataListAllCond, order)
  261. }
  262. return GetEdbDataListAllByMysqlTo(to, source, subSource, findEdbDataListAllCond, order)
  263. }
  264. // GetEdbDataListAllByMysqlTo
  265. // @Description: 根据事务链接获取指标数据列表 order:1升序,其余值为降序(Mysql)
  266. // @author: Roc
  267. // @datetime 2024-05-08 15:34:13
  268. // @param to orm.TxOrmer
  269. // @param source int
  270. // @param subSource int
  271. // @param findEdbDataListAllCond FindEdbDataListAllCond
  272. // @param order int
  273. // @return item []*EdbInfoSearchData
  274. // @return err error
  275. func GetEdbDataListAllByMysqlTo(to orm.TxOrmer, source, subSource int, findEdbDataListAllCond FindEdbDataListAllCond, order int) (item []*EdbInfoSearchData, err error) {
  276. if findEdbDataListAllCond.EdbInfoId <= 0 {
  277. return
  278. }
  279. sql := ``
  280. tableName := GetEdbDataTableName(source, subSource)
  281. sql = ` SELECT * FROM %s WHERE 1=1 `
  282. sql = fmt.Sprintf(sql, tableName)
  283. var condition string
  284. var pars []interface{}
  285. condition += " AND edb_info_id=? "
  286. pars = append(pars, findEdbDataListAllCond.EdbInfoId)
  287. // 开始日期
  288. if findEdbDataListAllCond.StartDataTime != "" && findEdbDataListAllCond.StartDataTimeCond != `` {
  289. condition += fmt.Sprintf(" AND data_time %s ? ", findEdbDataListAllCond.StartDataTimeCond)
  290. pars = append(pars, findEdbDataListAllCond.StartDataTime)
  291. }
  292. // 结束日期
  293. if findEdbDataListAllCond.EndDataTime != "" && findEdbDataListAllCond.EndDataTimeCond != `` {
  294. condition += fmt.Sprintf(" AND data_time %s ? ", findEdbDataListAllCond.EndDataTimeCond)
  295. pars = append(pars, findEdbDataListAllCond.EndDataTime)
  296. }
  297. if condition != "" {
  298. sql += condition
  299. }
  300. if order == 1 {
  301. sql += ` ORDER BY data_time ASC `
  302. } else {
  303. sql += ` ORDER BY data_time DESC `
  304. }
  305. _, err = to.Raw(sql, pars).QueryRows(&item)
  306. return
  307. }
  308. // GetEdbDataListAllByMongo
  309. // @Description: 根据事务链接获取指标数据列表 order:1升序,其余值为降序(Mongo)
  310. // @author: Roc
  311. // @datetime 2024-05-08 15:34:24
  312. // @param source int
  313. // @param subSource int
  314. // @param findEdbDataListAllCond FindEdbDataListAllCond
  315. // @param order int
  316. // @return dataList []*EdbInfoSearchData
  317. // @return err error
  318. func GetEdbDataListAllByMongo(source, subSource int, findEdbDataListAllCond FindEdbDataListAllCond, order int) (dataList []*EdbInfoSearchData, err error) {
  319. dataList = make([]*EdbInfoSearchData, 0)
  320. if findEdbDataListAllCond.EdbInfoId <= 0 {
  321. return
  322. }
  323. mogDataObj := mgo.EdbDataBusiness{}
  324. // 构建查询条件
  325. queryConditions := bson.M{
  326. "edb_info_id": findEdbDataListAllCond.EdbInfoId,
  327. }
  328. // 开始日期
  329. if findEdbDataListAllCond.StartDataTime != "" {
  330. startDateTime, tmpErr := time.ParseInLocation(utils.FormatDate, findEdbDataListAllCond.StartDataTime, time.Local)
  331. if tmpErr != nil {
  332. err = tmpErr
  333. return
  334. }
  335. // 日期比较符
  336. cond := utils.DateConvMysqlConvMongo(findEdbDataListAllCond.StartDataTimeCond)
  337. if cond != `` {
  338. queryConditions["data_time"] = bson.M{cond: startDateTime}
  339. }
  340. }
  341. // 结束日期
  342. if findEdbDataListAllCond.EndDataTime != "" {
  343. endDateTime, tmpErr := time.ParseInLocation(utils.FormatDate, findEdbDataListAllCond.EndDataTime, time.Local)
  344. if tmpErr != nil {
  345. err = tmpErr
  346. return
  347. }
  348. // 日期比较符
  349. cond := utils.DateConvMysqlConvMongo(findEdbDataListAllCond.EndDataTimeCond)
  350. if cond != `` {
  351. queryConditions["data_time"] = bson.M{cond: endDateTime}
  352. }
  353. }
  354. sortList := make([]string, 0)
  355. if order == 1 {
  356. sortList = append(sortList, "-data_time")
  357. } else {
  358. sortList = append(sortList, "data_time")
  359. }
  360. // 获取列表数据
  361. tmpDataList, tmpErr := mogDataObj.GetAllDataList(queryConditions, sortList)
  362. if tmpErr != nil {
  363. err = tmpErr
  364. return
  365. }
  366. for k, v := range tmpDataList {
  367. dataList = append(dataList, &EdbInfoSearchData{
  368. EdbDataId: k + 1,
  369. EdbInfoId: v.EdbInfoId,
  370. EdbCode: v.EdbCode,
  371. DataTime: v.DataTime.Format(utils.FormatDate),
  372. Value: v.Value,
  373. DataTimestamp: v.DataTimestamp,
  374. })
  375. }
  376. return
  377. }
  378. // EdbInfoMaxAndMinInfo 指标最新数据记录结构体
  379. type EdbInfoMaxAndMinInfo struct {
  380. MinDate string `description:"最小日期" bson:"min_date"`
  381. MaxDate string `description:"最大日期" bson:"max_date"`
  382. MinValue float64 `description:"最小值" bson:"min_value"`
  383. MaxValue float64 `description:"最大值" bson:"max_value"`
  384. LatestValue float64 `description:"最新值" bson:"latest_value"`
  385. LatestDate string `description:"实际数据最新日期" bson:"latest_date"`
  386. EndValue float64 `description:"最新值" bson:"end_value"`
  387. }
  388. // GetEdbInfoMaxAndMinInfo 获取指标的最新数据记录信息
  389. func GetEdbInfoMaxAndMinInfo(source, subSource int, edbCode string) (item *EdbInfoMaxAndMinInfo, err error) {
  390. o := orm.NewOrm()
  391. sql := ``
  392. tableName := GetEdbDataTableName(source, subSource)
  393. 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=? `
  394. sql = fmt.Sprintf(sql, tableName)
  395. err = o.Raw(sql, edbCode).QueryRow(&item)
  396. var latest_value float64
  397. sql = ` SELECT value AS latest_value FROM %s WHERE edb_code=? ORDER BY data_time DESC LIMIT 1 `
  398. sql = fmt.Sprintf(sql, tableName)
  399. err = o.Raw(sql, edbCode).QueryRow(&latest_value)
  400. item.LatestValue = latest_value
  401. return
  402. }
  403. type EdbIndoDataUpdateTime struct {
  404. MinDate string `description:"本次更新,数据发生变化的最早日期"`
  405. }
  406. // GetEdbDataUpdateTimeByModify 获取指标的刷新时间获取最早的一条记录
  407. func GetEdbDataUpdateTimeByModify(source, subSource int, edbCode string, dataUpdateTime string) (item *EdbIndoDataUpdateTime, err error) {
  408. o := orm.NewOrm()
  409. sql := ``
  410. tableName := GetEdbDataTableName(source, subSource)
  411. sql = ` SELECT MIN(data_time) AS min_date FROM %s WHERE edb_code=? and modify_time>=?`
  412. sql = fmt.Sprintf(sql, tableName)
  413. err = o.Raw(sql, edbCode, dataUpdateTime).QueryRow(&item)
  414. return
  415. }
  416. // ModifyEdbInfoMaxAndMinInfo 修改指标的最新数据信息
  417. func ModifyEdbInfoMaxAndMinInfo(edbInfoId int, item *EdbInfoMaxAndMinInfo) (err error) {
  418. o := orm.NewOrm()
  419. 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=? `
  420. _, err = o.Raw(sql, item.MinDate, item.MaxDate, item.MinValue, item.MaxValue, item.MaxDate, item.LatestValue, item.LatestValue, edbInfoId).Exec()
  421. return
  422. }
  423. // ModifyEdbTimeAndLastInfo 修改指标的最新数据信息(除上下限)
  424. func ModifyEdbTimeAndLastInfo(edbInfoId int, item *EdbInfoMaxAndMinInfo) (err error) {
  425. o := orm.NewOrm()
  426. 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 = ?`
  427. _, err = o.Raw(sql, item.MinDate, item.MaxDate, item.MaxDate, item.LatestValue, item.LatestValue, edbInfoId).Exec()
  428. return
  429. }
  430. // ModifyEdbDataUpdateTime 修改指标刷新,本次数据刷新的最早日期
  431. func ModifyEdbDataUpdateTime(edbInfoId int, dataUpdateTime, erDataUpdateDate string) (err error) {
  432. o := orm.NewOrm()
  433. sql := `UPDATE edb_info SET data_update_time = ?, er_data_update_date = ?, modify_time = NOW() WHERE edb_info_id = ?`
  434. _, err = o.Raw(sql, dataUpdateTime, erDataUpdateDate, edbInfoId).Exec()
  435. return
  436. }
  437. // GetEdbDataCount 获取edb指标数据的数量; order:1升序,其余值为降序
  438. func GetEdbDataCount(condition string, pars []interface{}, source, subSource int) (count int, err error) {
  439. o := orm.NewOrm()
  440. sql := ``
  441. tableName := GetEdbDataTableName(source, subSource)
  442. sql = ` SELECT COUNT(1) AS count FROM %s WHERE 1=1 `
  443. sql = fmt.Sprintf(sql, tableName)
  444. if condition != "" {
  445. sql += condition
  446. }
  447. err = o.Raw(sql, pars).QueryRow(&count)
  448. return
  449. }
  450. // GetLastEdbData 获取最近的一条指标数据
  451. func GetLastEdbData(condition string, pars []interface{}, source, subSource int) (item *EdbInfoSearchData, err error) {
  452. o := orm.NewOrm()
  453. sql := ``
  454. tableName := GetEdbDataTableName(source, subSource)
  455. sql = ` SELECT * FROM %s WHERE 1=1 `
  456. sql = fmt.Sprintf(sql, tableName)
  457. if condition != "" {
  458. sql += condition
  459. }
  460. sql += ` ORDER BY data_time DESC `
  461. err = o.Raw(sql, pars).QueryRow(&item)
  462. return
  463. }
  464. // GetEdbInfoByEdbCode 根据指标code获取指标信息
  465. func GetEdbInfoByEdbCode(source int, edbCode string) (item *EdbInfo, err error) {
  466. o := orm.NewOrm()
  467. sql := ` SELECT * FROM edb_info WHERE source=? AND edb_code=? `
  468. err = o.Raw(sql, source, edbCode).QueryRow(&item)
  469. return
  470. }
  471. // GetEdbInfoOnlyByEdbCode 仅根据指标code获取指标信息
  472. func GetEdbInfoOnlyByEdbCode(edbCode string) (item *EdbInfo, err error) {
  473. o := orm.NewOrm()
  474. sql := ` SELECT * FROM edb_info WHERE edb_code=? `
  475. err = o.Raw(sql, edbCode).QueryRow(&item)
  476. return
  477. }
  478. // GetEdbInfoCalculateListByCondition 获取指标关系列表
  479. func GetEdbInfoCalculateListByCondition(condition string, pars []interface{}) (items []*EdbInfoCalculateMapping, err error) {
  480. o := orm.NewOrm()
  481. sql := ` SELECT * FROM edb_info_calculate_mapping WHERE 1=1 `
  482. if condition != "" {
  483. sql += condition
  484. }
  485. _, err = o.Raw(sql, pars).QueryRows(&items)
  486. return
  487. }
  488. // GetEdbInfoCalculateCountByCondition 获取关联指标数量
  489. func GetEdbInfoCalculateCountByCondition(condition string, pars []interface{}) (count int, err error) {
  490. o := orm.NewOrm()
  491. sql := ` SELECT COUNT(1) AS count FROM edb_info_calculate_mapping WHERE 1=1 `
  492. if condition != "" {
  493. sql += condition
  494. }
  495. err = o.Raw(sql, pars).QueryRow(&count)
  496. return
  497. }
  498. // 优化版本-处理数据精度问题
  499. type EdbInfoSearchDataV1 struct {
  500. EdbDataId int `description:"数据ID"`
  501. DataTime string `description:"数据日期"`
  502. Value string `description:"数据"`
  503. }
  504. // 优化版本-处理数据精度问题
  505. func GetEdbDataListAllV1(condition string, pars []interface{}, source, subSource, order int) (item []*EdbInfoSearchDataV1, err error) {
  506. o := orm.NewOrm()
  507. sql := ``
  508. tableName := GetEdbDataTableName(source, subSource)
  509. sql = ` SELECT * FROM %s WHERE 1=1 `
  510. sql = fmt.Sprintf(sql, tableName)
  511. if condition != "" {
  512. sql += condition
  513. }
  514. if order == 1 {
  515. sql += ` ORDER BY data_time ASC `
  516. } else {
  517. sql += ` ORDER BY data_time DESC `
  518. }
  519. _, err = o.Raw(sql, pars).QueryRows(&item)
  520. return
  521. }
  522. // GetEdbDataListAllV1ByTo 通过事务链接获取数据列表
  523. func GetEdbDataListAllV1ByTo(to orm.TxOrmer, condition string, pars []interface{}, source, subSource, order int) (item []*EdbInfoSearchDataV1, err error) {
  524. sql := ``
  525. tableName := GetEdbDataTableName(source, subSource)
  526. sql = ` SELECT * FROM %s WHERE 1=1 `
  527. sql = fmt.Sprintf(sql, tableName)
  528. if condition != "" {
  529. sql += condition
  530. }
  531. if order == 1 {
  532. sql += ` ORDER BY data_time ASC `
  533. } else {
  534. sql += ` ORDER BY data_time DESC `
  535. }
  536. _, err = to.Raw(sql, pars).QueryRows(&item)
  537. return
  538. }
  539. // GetEdbInfoByCondition 获取指标列表
  540. func GetEdbInfoByCondition(condition string, pars []interface{}, order int) (item []*EdbInfo, err error) {
  541. o := orm.NewOrm()
  542. sql := ` SELECT * FROM edb_info WHERE 1=1 `
  543. if condition != "" {
  544. sql += condition
  545. }
  546. if order == 1 {
  547. sql += ` ORDER BY end_date ASC `
  548. } else {
  549. sql += ` ORDER BY edb_info_id ASC `
  550. }
  551. _, err = o.Raw(sql, pars).QueryRows(&item)
  552. return
  553. }
  554. // UnifiedModifyEdbInfoMaxAndMinInfo 统一修改指标的最大最小值
  555. func UnifiedModifyEdbInfoMaxAndMinInfo(edbInfo *EdbInfo) (err error, errMsg string) {
  556. // 修改最大最小值
  557. maxAndMinItem, err := GetEdbInfoMaxAndMinInfo(edbInfo.Source, edbInfo.SubSource, edbInfo.EdbCode)
  558. if err != nil {
  559. if err.Error() == utils.ErrNoRow() {
  560. err = nil
  561. return
  562. }
  563. errMsg = "刷新指标失败!"
  564. err = errors.New("获取指标最大最小值失败,err:" + err.Error())
  565. return
  566. }
  567. if maxAndMinItem != nil {
  568. // 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
  569. if edbInfo.ManualSave == 1 {
  570. err = ModifyEdbTimeAndLastInfo(edbInfo.EdbInfoId, maxAndMinItem)
  571. if err != nil {
  572. errMsg = "刷新指标失败!"
  573. err = errors.New("修改指标最新日期和数据失败,err:" + err.Error())
  574. return
  575. }
  576. } else {
  577. err = ModifyEdbInfoMaxAndMinInfo(edbInfo.EdbInfoId, maxAndMinItem)
  578. if err != nil {
  579. errMsg = "刷新指标失败!"
  580. err = errors.New("修改指标最大最小值失败,err:" + err.Error())
  581. return
  582. }
  583. }
  584. }
  585. // 刷新关联的预测指标
  586. go RefreshPredictStandardBaseByGeneralEdbInfoId(edbInfo.EdbInfoId)
  587. //go ModifyPredictEdbInfoMaxAndMinInfoBySourceEdbInfoId(edbInfo.EdbInfoId, maxAndMinItem)
  588. return
  589. }
  590. // UnifiedModifyEdbInfoMaxAndMinInfoDataUpdate 统一修改指标的最大最小值以及数据更新时间点
  591. func UnifiedModifyEdbInfoMaxAndMinInfoDataUpdate(edbInfo *EdbInfo, dataUpdateTime string) (erDataUpdateDate string, err error, errMsg string) {
  592. err, errMsg = UnifiedModifyEdbInfoMaxAndMinInfo(edbInfo)
  593. if err != nil {
  594. return
  595. }
  596. // 获取本次刷新,指标数据更新的最早日期
  597. erDataUpdateTime, tErr := GetEdbDataUpdateTimeByModify(edbInfo.Source, edbInfo.SubSource, edbInfo.EdbCode, dataUpdateTime)
  598. if tErr != nil {
  599. if tErr.Error() != utils.ErrNoRow() { //本次刷新指标数据无变化
  600. errMsg = "刷新指标失败!"
  601. err = errors.New("查询指标刷新,数据更新的最早日期失败,err:" + tErr.Error())
  602. return
  603. }
  604. } else if erDataUpdateTime.MinDate != "" {
  605. err = ModifyEdbDataUpdateTime(edbInfo.EdbInfoId, dataUpdateTime, erDataUpdateTime.MinDate)
  606. if err != nil {
  607. errMsg = "刷新指标失败!"
  608. err = errors.New("修改指标数据更新的最早日期失败,err:" + tErr.Error())
  609. return
  610. }
  611. erDataUpdateDate = erDataUpdateTime.MinDate
  612. }
  613. return
  614. }
  615. // UnifiedModifyPredictEdbInfoMaxAndMinInfo 统一修改预测运算指标的最大最小值
  616. func UnifiedModifyPredictEdbInfoMaxAndMinInfo(edbInfo *EdbInfo, latestDateStr string, latestValue float64) (err error, errMsg string) {
  617. // 修改最大最小值
  618. maxAndMinItem, err := GetEdbInfoMaxAndMinInfo(edbInfo.Source, edbInfo.SubSource, edbInfo.EdbCode)
  619. if err != nil {
  620. if err.Error() == utils.ErrNoRow() {
  621. err = nil
  622. return
  623. }
  624. errMsg = "刷新指标失败!"
  625. err = errors.New("获取指标最大最小值失败,err:" + err.Error())
  626. return
  627. }
  628. // 最晚的日期的值
  629. maxAndMinItem.EndValue = maxAndMinItem.LatestValue
  630. if maxAndMinItem != nil {
  631. maxAndMinItem.LatestDate = latestDateStr
  632. maxAndMinItem.LatestValue = latestValue
  633. err = ModifyPredictEdbInfoMaxAndMinInfo(edbInfo.EdbInfoId, maxAndMinItem)
  634. if err != nil {
  635. errMsg = "刷新指标失败!"
  636. err = errors.New("修改指标最大最小值失败,err:" + err.Error())
  637. return
  638. }
  639. }
  640. return
  641. }
  642. // GetChartPredictEdbInfoDataListByConfList 获取图表的预测指标的未来数据
  643. func GetChartPredictEdbInfoDataListByConfList(predictEdbConfList []*PredictEdbConfAndData, filtrateStartDateStr, latestDateStr, endDateStr, frequency, dataDateType string, realPredictEdbInfoData []*EdbInfoSearchData) (predictEdbInfoData []*EdbInfoSearchData, minValue, maxValue float64, err error) {
  644. endDate, err := time.ParseInLocation(utils.FormatDate, endDateStr, time.Local)
  645. if err != nil {
  646. return
  647. }
  648. latestDate, err := time.ParseInLocation(utils.FormatDate, latestDateStr, time.Local)
  649. if err != nil {
  650. return
  651. }
  652. // 开始预测数据的时间
  653. startDate := latestDate
  654. // 如果有筛选时间的话
  655. if filtrateStartDateStr != `` {
  656. filtrateStartDate, tmpErr := time.ParseInLocation(utils.FormatDate, filtrateStartDateStr, time.Local)
  657. if tmpErr != nil {
  658. err = tmpErr
  659. return
  660. }
  661. //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
  662. if filtrateStartDate.After(latestDate) {
  663. startDate = filtrateStartDate.AddDate(0, 0, -1)
  664. }
  665. }
  666. //var dateArr []string
  667. // 对应日期的值
  668. existMap := make(map[string]float64)
  669. for _, v := range realPredictEdbInfoData {
  670. //dateArr = append(dateArr, v.DataTime)
  671. existMap[v.DataTime] = v.Value
  672. }
  673. predictEdbInfoData = make([]*EdbInfoSearchData, 0)
  674. //dataValue := lastDataValue
  675. //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
  676. for _, predictEdbConf := range predictEdbConfList {
  677. dataEndTime := endDate
  678. if predictEdbConf.EndDate.Before(dataEndTime) {
  679. dataEndTime = predictEdbConf.EndDate
  680. }
  681. var tmpMinValue, tmpMaxValue float64 // 当前预测结果中的最大/最小值
  682. dayList := getPredictEdbDayList(startDate, dataEndTime, frequency, dataDateType)
  683. 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
  684. continue
  685. }
  686. switch predictEdbConf.RuleType {
  687. case 1: //1:最新
  688. var lastDataValue float64 //最新值
  689. tmpAllData := make([]*EdbInfoSearchData, 0)
  690. tmpAllData = append(tmpAllData, realPredictEdbInfoData...)
  691. tmpAllData = append(tmpAllData, predictEdbInfoData...)
  692. lenTmpAllData := len(tmpAllData)
  693. if lenTmpAllData > 0 {
  694. lastDataValue = tmpAllData[lenTmpAllData-1].Value
  695. }
  696. predictEdbInfoData = GetChartPredictEdbInfoDataListByRule1(predictEdbConf.PredictEdbInfoId, lastDataValue, dayList, predictEdbInfoData, existMap)
  697. tmpMaxValue = lastDataValue
  698. tmpMinValue = lastDataValue
  699. case 2: //2:固定值
  700. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  701. if tmpErr != nil {
  702. err = tmpErr
  703. return
  704. }
  705. dataValue, _ := tmpValDecimal.Float64()
  706. predictEdbInfoData = GetChartPredictEdbInfoDataListByRule1(predictEdbConf.PredictEdbInfoId, dataValue, dayList, predictEdbInfoData, existMap)
  707. tmpMaxValue = dataValue
  708. tmpMinValue = dataValue
  709. case 3: //3:同比
  710. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  711. if tmpErr != nil {
  712. err = tmpErr
  713. return
  714. }
  715. tbValue, _ := tmpValDecimal.Float64()
  716. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleTb(predictEdbConf.PredictEdbInfoId, tbValue, dayList, frequency, realPredictEdbInfoData, predictEdbInfoData, existMap)
  717. case 4: //4:同差
  718. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  719. if tmpErr != nil {
  720. err = tmpErr
  721. return
  722. }
  723. tcValue, _ := tmpValDecimal.Float64()
  724. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleTc(predictEdbConf.PredictEdbInfoId, tcValue, dayList, frequency, realPredictEdbInfoData, predictEdbInfoData, existMap)
  725. case 5: //5:环比
  726. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  727. if tmpErr != nil {
  728. err = tmpErr
  729. return
  730. }
  731. hbValue, _ := tmpValDecimal.Float64()
  732. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleHb(predictEdbConf.PredictEdbInfoId, hbValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  733. case 6: //6:环差
  734. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  735. if tmpErr != nil {
  736. err = tmpErr
  737. return
  738. }
  739. hcValue, _ := tmpValDecimal.Float64()
  740. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleHc(predictEdbConf.PredictEdbInfoId, hcValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  741. case 7: //7:N期移动均值
  742. nValue, tmpErr := strconv.Atoi(predictEdbConf.Value)
  743. if tmpErr != nil {
  744. err = tmpErr
  745. return
  746. }
  747. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleNMoveMeanValue(predictEdbConf.PredictEdbInfoId, nValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  748. case 8: //8:N期段线性外推值
  749. nValue, tmpErr := strconv.Atoi(predictEdbConf.Value)
  750. if tmpErr != nil {
  751. err = tmpErr
  752. return
  753. }
  754. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleNLinearRegression(predictEdbConf.PredictEdbInfoId, nValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  755. if err != nil {
  756. return
  757. }
  758. case 9: //9:动态环差”预测规则;
  759. hcDataMap := make(map[string]float64) //规则计算的环差值map
  760. if predictEdbConf.PredictEdbInfoId > 0 {
  761. tmpPredictEdbRuleDataList, tmpErr := GetPredictEdbRuleDataItemList(predictEdbConf.PredictEdbInfoId, predictEdbConf.ConfigId, startDate.Format(utils.FormatDate), endDate.Format(utils.FormatDate))
  762. if tmpErr != nil {
  763. err = tmpErr
  764. return
  765. }
  766. for _, v := range tmpPredictEdbRuleDataList {
  767. hcDataMap[v.DataTime] = v.Value
  768. }
  769. } else {
  770. if len(predictEdbConf.DataList) <= 0 {
  771. return
  772. }
  773. for _, v := range predictEdbConf.DataList {
  774. currentDate, tmpErr := time.ParseInLocation(utils.FormatDate, v.DataTime, time.Local)
  775. if tmpErr != nil {
  776. continue
  777. }
  778. // 只处理时间段内的数据
  779. if currentDate.Before(startDate) || currentDate.After(endDate) {
  780. continue
  781. }
  782. hcDataMap[v.DataTime] = v.Value
  783. }
  784. }
  785. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleTrendsHC(predictEdbConf.PredictEdbInfoId, dayList, realPredictEdbInfoData, predictEdbInfoData, hcDataMap, existMap)
  786. case 10: //10:根据 给定终值后插值 规则获取预测数据
  787. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  788. if tmpErr != nil {
  789. err = tmpErr
  790. return
  791. }
  792. finalValue, _ := tmpValDecimal.Float64()
  793. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleFinalValueHc(predictEdbConf.PredictEdbInfoId, finalValue, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  794. case 11: //11:根据 季节性 规则获取预测数据
  795. var seasonConf SeasonConf
  796. tmpErr := json.Unmarshal([]byte(predictEdbConf.Value), &seasonConf)
  797. if tmpErr != nil {
  798. err = errors.New("季节性配置信息异常:" + tmpErr.Error())
  799. return
  800. }
  801. calendar := "公历"
  802. if seasonConf.Calendar == "农历" {
  803. calendar = "农历"
  804. }
  805. yearList := make([]int, 0)
  806. //选择方式,1:连续N年;2:指定年份
  807. if seasonConf.YearType == 1 {
  808. if seasonConf.NValue < 1 {
  809. err = errors.New("连续N年不允许小于1")
  810. return
  811. }
  812. currYear := time.Now().Year()
  813. for i := 0; i < seasonConf.NValue; i++ {
  814. yearList = append(yearList, currYear-i-1)
  815. }
  816. } else {
  817. yearList = seasonConf.YearList
  818. }
  819. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleSeason(predictEdbConf.PredictEdbInfoId, yearList, calendar, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  820. if err != nil {
  821. return
  822. }
  823. case 12: //12:根据 移动平均同比 规则获取预测数据
  824. var moveAverageConf MoveAverageConf
  825. tmpErr := json.Unmarshal([]byte(predictEdbConf.Value), &moveAverageConf)
  826. if tmpErr != nil {
  827. err = errors.New("季节性配置信息异常:" + tmpErr.Error())
  828. return
  829. }
  830. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleMoveAverageTb(predictEdbConf.PredictEdbInfoId, moveAverageConf.NValue, moveAverageConf.Year, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  831. if err != nil {
  832. return
  833. }
  834. case 13: //13:根据 同比增速差值 规则获取预测数据
  835. tmpValDecimal, tmpErr := decimal.NewFromString(predictEdbConf.Value)
  836. if tmpErr != nil {
  837. err = tmpErr
  838. return
  839. }
  840. tbEndValue, _ := tmpValDecimal.Float64()
  841. predictEdbInfoData, tmpMinValue, tmpMaxValue = GetChartPredictEdbInfoDataListByRuleTbzscz(predictEdbConf.PredictEdbInfoId, tbEndValue, dayList, frequency, realPredictEdbInfoData, predictEdbInfoData, existMap)
  842. case 14: //14:根据 一元线性拟合 规则获取预测数据
  843. var ruleConf RuleLineNhConf
  844. err = json.Unmarshal([]byte(predictEdbConf.Value), &ruleConf)
  845. if err != nil {
  846. err = errors.New("一元线性拟合规则配置信息异常:" + err.Error())
  847. return
  848. }
  849. // 规则计算的拟合残差值map
  850. newNhccDataMap := make(map[string]float64)
  851. if predictEdbConf.PredictEdbInfoId > 0 { //已经生成的动态数据
  852. tmpPredictEdbRuleDataList, tmpErr := GetPredictEdbRuleDataItemList(predictEdbConf.PredictEdbInfoId, predictEdbConf.ConfigId, startDate.Format(utils.FormatDate), endDate.Format(utils.FormatDate))
  853. if tmpErr != nil {
  854. err = tmpErr
  855. return
  856. }
  857. for _, v := range tmpPredictEdbRuleDataList {
  858. newNhccDataMap[v.DataTime] = v.Value
  859. }
  860. } else { //未生成的动态数据,需要使用外部传入的数据进行计算
  861. newNhccDataMap, err, _ = getCalculateNhccData(append(realPredictEdbInfoData, predictEdbInfoData...), ruleConf)
  862. }
  863. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleLineNh(predictEdbConf.PredictEdbInfoId, dayList, realPredictEdbInfoData, predictEdbInfoData, newNhccDataMap, existMap)
  864. if err != nil {
  865. return
  866. }
  867. 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;
  868. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleNAnnualAverage(predictEdbConf.PredictEdbInfoId, predictEdbConf.Value, dayList, realPredictEdbInfoData, predictEdbInfoData, existMap)
  869. if err != nil {
  870. return
  871. }
  872. case 16: //16:年度值倒推
  873. predictEdbInfoData, tmpMinValue, tmpMaxValue, err = GetChartPredictEdbInfoDataListByRuleAnnualValueInversion(predictEdbConf.PredictEdbInfoId, predictEdbConf.Value, dayList, frequency, realPredictEdbInfoData, predictEdbInfoData, existMap)
  874. if err != nil {
  875. return
  876. }
  877. }
  878. // 下一个规则的开始日期
  879. {
  880. lenPredictEdbInfoData := len(predictEdbInfoData)
  881. if lenPredictEdbInfoData > 0 {
  882. tmpDataEndTime, _ := time.ParseInLocation(utils.FormatDate, predictEdbInfoData[lenPredictEdbInfoData-1].DataTime, time.Local)
  883. if startDate.Before(tmpDataEndTime) {
  884. startDate = tmpDataEndTime
  885. }
  886. }
  887. }
  888. if tmpMinValue < minValue {
  889. minValue = tmpMinValue
  890. }
  891. if tmpMaxValue < maxValue {
  892. maxValue = tmpMaxValue
  893. }
  894. }
  895. return
  896. }
  897. // GetPredictEdbDayList 获取预测指标日期列表
  898. // GetPredictEdbDayList 获取预测指标日期列表
  899. func getPredictEdbDayList(startDate, endDate time.Time, frequency, dataDateType string) (dayList []time.Time) {
  900. if dataDateType == `` {
  901. dataDateType = `交易日`
  902. }
  903. switch frequency {
  904. case "日度":
  905. for currDate := startDate.AddDate(0, 0, 1); currDate.Before(endDate) || currDate.Equal(endDate); currDate = currDate.AddDate(0, 0, 1) {
  906. // 如果日期类型是交易日的时候,那么需要将周六、日排除
  907. if dataDateType == `交易日` && (currDate.Weekday() == time.Sunday || currDate.Weekday() == time.Saturday) {
  908. continue
  909. }
  910. dayList = append(dayList, currDate)
  911. }
  912. case "周度":
  913. //nextDate := startDate.AddDate(0, 0, 7)
  914. for currDate := startDate.AddDate(0, 0, 7); currDate.Before(endDate) || currDate.Equal(endDate); currDate = currDate.AddDate(0, 0, 7) {
  915. dayList = append(dayList, currDate)
  916. }
  917. case "旬度":
  918. for currDate := startDate.AddDate(0, 0, 1); currDate.Before(endDate) || currDate.Equal(endDate); {
  919. nextDate := currDate.AddDate(0, 0, 1)
  920. //每个月的10号、20号、最后一天,那么就写入
  921. if nextDate.Day() == 11 || nextDate.Day() == 21 || nextDate.Day() == 1 {
  922. dayList = append(dayList, currDate)
  923. }
  924. currDate = nextDate
  925. }
  926. case "月度":
  927. for currDate := startDate; currDate.Before(endDate) || currDate.Equal(endDate); {
  928. currDate = time.Date(currDate.Year(), currDate.Month(), 1, 0, 0, 0, 0, time.Now().Location()).AddDate(0, 1, -1)
  929. if !currDate.After(endDate) && !currDate.Equal(startDate) {
  930. dayList = append(dayList, currDate)
  931. }
  932. currDate = currDate.AddDate(0, 0, 1)
  933. }
  934. case "季度":
  935. for currDate := startDate; currDate.Before(endDate) || currDate.Equal(endDate); {
  936. // 每月的最后一天
  937. currDate = time.Date(currDate.Year(), currDate.Month(), 1, 0, 0, 0, 0, time.Now().Location()).AddDate(0, 1, -1)
  938. if !currDate.After(endDate) && !currDate.Equal(startDate) {
  939. // 季度日期就写入,否则不写入
  940. if currDate.Month() == 3 || currDate.Month() == 6 || currDate.Month() == 9 || currDate.Month() == 12 {
  941. dayList = append(dayList, currDate)
  942. }
  943. }
  944. currDate = currDate.AddDate(0, 0, 1)
  945. }
  946. case "半年度":
  947. for currDate := startDate; currDate.Before(endDate) || currDate.Equal(endDate); {
  948. // 每月的最后一天
  949. currDate = time.Date(currDate.Year(), currDate.Month(), 1, 0, 0, 0, 0, time.Now().Location()).AddDate(0, 1, -1)
  950. if !currDate.After(endDate) && !currDate.Equal(startDate) {
  951. // 半年度日期就写入,否则不写入
  952. if currDate.Month() == 6 || currDate.Month() == 12 {
  953. dayList = append(dayList, currDate)
  954. }
  955. }
  956. currDate = currDate.AddDate(0, 0, 1)
  957. }
  958. case "年度":
  959. for currDate := startDate; currDate.Before(endDate) || currDate.Equal(endDate); {
  960. currDate = time.Date(currDate.Year()+1, 12, 31, 0, 0, 0, 0, time.Now().Location())
  961. if !currDate.After(endDate) && !currDate.Equal(startDate) {
  962. dayList = append(dayList, currDate)
  963. }
  964. }
  965. }
  966. return
  967. }
  968. // 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
  969. func GetPredictDataListByPredictEdbInfo(edbInfo *EdbInfo, order int, startDate string) (dataList []*EdbInfoSearchData, sourceEdbInfoItem *EdbInfo, err error, errMsg string) {
  970. // 查找该预测指标配置
  971. predictEdbConfList, err := GetPredictEdbConfAndDataListById(edbInfo.EdbInfoId)
  972. if err != nil && err.Error() != utils.ErrNoRow() {
  973. errMsg = "获取预测指标配置信息失败"
  974. return
  975. }
  976. if len(predictEdbConfList) == 0 {
  977. errMsg = "获取预测指标配置信息失败"
  978. err = errors.New(errMsg)
  979. return
  980. }
  981. predictEdbConf := predictEdbConfList[0]
  982. // 来源指标
  983. sourceEdbInfoItem, err = GetEdbInfoById(predictEdbConf.SourceEdbInfoId)
  984. if err != nil {
  985. if err.Error() == utils.ErrNoRow() {
  986. errMsg = "找不到来源指标信息"
  987. err = errors.New(errMsg)
  988. }
  989. return
  990. }
  991. dataList, err, errMsg = GetPredictDataListByPredictEdbConfList(edbInfo, sourceEdbInfoItem, predictEdbConfList, order, startDate)
  992. return
  993. }
  994. // 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
  995. func GetPredictDataListByPredictEdbConfList(edbInfo, sourceEdbInfoItem *EdbInfo, predictEdbConfList []*PredictEdbConfAndData, order int, startDate string) (dataList []*EdbInfoSearchData, err error, errMsg string) {
  996. allDataList := make([]*EdbInfoSearchData, 0)
  997. //获取指标数据(实际已生成)
  998. tmpDataList, err := GetEdbDataListAll(sourceEdbInfoItem.Source, sourceEdbInfoItem.SubSource, FindEdbDataListAllCond{
  999. EdbInfoId: sourceEdbInfoItem.EdbInfoId,
  1000. StartDataTime: startDate,
  1001. StartDataTimeCond: ">=",
  1002. }, 1)
  1003. if err != nil {
  1004. return
  1005. }
  1006. // 默认认为上一个查询是把所有的数据查出来了
  1007. allDataList = tmpDataList
  1008. // 如果条件中有选择了日期,那么上次查询实际并不是把所有的数据查出来了
  1009. // 那么需要把日期给过滤掉,然后筛选所有的数据,用于未来指标的生成
  1010. if startDate != `` {
  1011. allDataList, err = GetEdbDataListAll(sourceEdbInfoItem.Source, sourceEdbInfoItem.SubSource, FindEdbDataListAllCond{
  1012. EdbInfoId: sourceEdbInfoItem.EdbInfoId,
  1013. }, 1)
  1014. if err != nil {
  1015. return
  1016. }
  1017. }
  1018. // 获取预测指标未来的数据
  1019. predictDataList := make([]*EdbInfoSearchData, 0)
  1020. endDateStr := edbInfo.EndDate //预测指标的结束日期
  1021. var predictMinValue, predictMaxValue float64
  1022. // 如果有配置的预测规则,那么就进行预测
  1023. if len(predictEdbConfList) > 0 {
  1024. predictDataList, predictMinValue, predictMaxValue, err = GetChartPredictEdbInfoDataListByConfList(predictEdbConfList, startDate, sourceEdbInfoItem.LatestDate, endDateStr, edbInfo.Frequency, edbInfo.DataDateType, allDataList)
  1025. if err != nil {
  1026. return
  1027. }
  1028. }
  1029. //order:1升序,其余值为降序
  1030. if order == 1 {
  1031. dataList = append(tmpDataList, predictDataList...)
  1032. } else {
  1033. // 先倒序预测数据
  1034. lenPredictDataList := len(predictDataList)
  1035. if lenPredictDataList > 0 {
  1036. for k := range predictDataList {
  1037. dataList = append(dataList, predictDataList[lenPredictDataList-k-1])
  1038. }
  1039. }
  1040. // 接着倒序实际指标
  1041. lenDataList := len(tmpDataList)
  1042. for k := range tmpDataList {
  1043. dataList = append(dataList, tmpDataList[lenDataList-k-1])
  1044. }
  1045. }
  1046. if len(predictDataList) > 0 {
  1047. // 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
  1048. if edbInfo.MinValue > predictMinValue {
  1049. edbInfo.MinValue = predictMinValue
  1050. }
  1051. // 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
  1052. if edbInfo.MaxValue < predictMaxValue {
  1053. edbInfo.MaxValue = predictMaxValue
  1054. }
  1055. }
  1056. return
  1057. }
  1058. // GetPredictEdbDataListAll 获取该预测指标所有的数据 ,order:1升序,其余值为降序
  1059. func GetPredictEdbDataListAll(edbInfo *EdbInfo, order int) (items []*EdbInfoSearchData, err error) {
  1060. 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
  1061. items, _, err, _ = GetPredictDataListByPredictEdbInfo(edbInfo, 1, "")
  1062. } else {
  1063. items, err = GetEdbDataListAll(edbInfo.Source, edbInfo.SubSource, FindEdbDataListAllCond{
  1064. EdbInfoId: edbInfo.EdbInfoId,
  1065. }, order)
  1066. }
  1067. return
  1068. }
  1069. // 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
  1070. func GetPredictEdbDataListAllByStartDate(edbInfo *EdbInfo, order int, startDate string) (items []*EdbInfoSearchData, err error) {
  1071. 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
  1072. items, _, err, _ = GetPredictDataListByPredictEdbInfo(edbInfo, order, startDate)
  1073. } else {
  1074. items, err = GetEdbDataListAll(edbInfo.Source, edbInfo.SubSource, FindEdbDataListAllCond{
  1075. EdbInfoId: edbInfo.EdbInfoId,
  1076. StartDataTime: startDate,
  1077. StartDataTimeCond: ">=",
  1078. }, order)
  1079. }
  1080. return
  1081. }
  1082. // ModifyPredictEdbInfoMaxAndMinInfo 修改预测指标的最新数据信息
  1083. func ModifyPredictEdbInfoMaxAndMinInfo(edbInfoId int, item *EdbInfoMaxAndMinInfo) (err error) {
  1084. o := orm.NewOrm()
  1085. 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=? `
  1086. _, err = o.Raw(sql, item.MinDate, item.MaxDate, item.MinValue, item.MaxValue, item.LatestDate, item.LatestValue, item.EndValue, edbInfoId).Exec()
  1087. return
  1088. }
  1089. // ModifyCalculateEdbInfo 修改计算指标信息
  1090. func ModifyCalculateEdbInfo(edbName, frequency, unit, calculateFormula string, classifyId, edbInfoId int) (err error) {
  1091. o := orm.NewOrm()
  1092. sql := ` UPDATE edb_info
  1093. SET
  1094. edb_name =?,
  1095. edb_name_source =?,
  1096. frequency = ?,
  1097. unit = ?,
  1098. classify_id = ?,
  1099. calculate_formula=?,
  1100. modify_time = NOW()
  1101. WHERE edb_info_id = ?`
  1102. _, err = o.Raw(sql, edbName, edbName, frequency, unit, classifyId, calculateFormula, edbInfoId).Exec()
  1103. return
  1104. }
  1105. func GetEdbInfoItemByCondition(condition string, pars []interface{}) (item *EdbInfoList, err error) {
  1106. o := orm.NewOrm()
  1107. sql := ` SELECT * FROM edb_info WHERE 1=1 `
  1108. if condition != "" {
  1109. sql += condition
  1110. }
  1111. err = o.Raw(sql, pars).QueryRow(&item)
  1112. return
  1113. }
  1114. func GetEdbInfoItemListByCondition() (items []*EdbInfoList, err error) {
  1115. o := orm.NewOrm()
  1116. sql := ` SELECT * FROM edb_info WHERE 1=1 `
  1117. _, err = o.Raw(sql).QueryRows(&items)
  1118. return
  1119. }
  1120. // EdbInfoDetailReq 指标详情请求
  1121. type EdbInfoDetailReq struct {
  1122. UniqueCode string `description:"指标唯一编码"`
  1123. EdbCode string `description:"指标编码"`
  1124. }
  1125. // EdbInfoDetailResp 指标详情返回
  1126. type EdbInfoDetailResp struct {
  1127. SourceName string `description:"来源名称"`
  1128. EdbCode string `description:"指标编码"`
  1129. EdbName string `description:"指标名称"`
  1130. EdbNameSource string `description:"指标名称来源"`
  1131. Frequency string `description:"频率"`
  1132. Unit string `description:"单位"`
  1133. StartDate string `description:"起始日期"`
  1134. EndDate string `description:"终止日期"`
  1135. UniqueCode string `description:"指标唯一编码"`
  1136. CreateTime time.Time
  1137. ModifyTime time.Time
  1138. MinValue float64 `description:"指标最小值"`
  1139. MaxValue float64 `description:"指标最大值"`
  1140. EdbNameEn string `description:"英文指标名称"`
  1141. UnitEn string `description:"英文单位"`
  1142. LatestDate string `description:"数据最新日期"`
  1143. LatestValue float64 `description:"数据最新值"`
  1144. ChartImage string `description:"图表图片"`
  1145. DataList []*EdbInfoSearchData
  1146. }
  1147. type AddEdbInfoParams struct {
  1148. Source int `description:"来源id"`
  1149. EdbCode string `description:"指标编码"`
  1150. EdbName string `description:"指标名称"`
  1151. Frequency string `description:"频率"`
  1152. Unit string `description:"单位"`
  1153. ClassifyId int `description:"分类id"`
  1154. TerminalCode string `description:"终端编码"`
  1155. AdminId int `description:"创建人ID"`
  1156. AdminName string `description:"创建人姓名"`
  1157. }
  1158. // EdbInfoAdd 添加指标到指标库
  1159. func EdbInfoAdd(req *AddEdbInfoParams, serverUrl string, sysUserId int, sysUserRealName string) (edbInfo *EdbInfo, err error) {
  1160. source := req.Source
  1161. //判断指标名称是否存在
  1162. var condition string
  1163. var pars []interface{}
  1164. //condition += " AND source=? "
  1165. //pars = append(pars, source)
  1166. condition += " AND edb_code=? "
  1167. pars = append(pars, req.EdbCode)
  1168. items, err := GetEdbInfoByCondition(condition, pars, 0)
  1169. if err != nil {
  1170. err = errors.New("判断指标是否存在失败,Err:" + err.Error())
  1171. return
  1172. }
  1173. if len(items) > 0 {
  1174. sql := ` UPDATE edb_info SET classify_id=?,modify_time=NOW() WHERE edb_code=? `
  1175. o := orm.NewOrm()
  1176. _, err = o.Raw(sql, req.ClassifyId, req.EdbCode).Exec()
  1177. if err != nil {
  1178. err = errors.New("更新指标分类信息失败,Err:" + err.Error())
  1179. return
  1180. }
  1181. edbInfo = items[0]
  1182. return
  1183. }
  1184. edbInfo = new(EdbInfo)
  1185. edbInfo.Source = source
  1186. sourceNameMap := map[int]string{
  1187. utils.DATA_SOURCE_THS: "同花顺",
  1188. utils.DATA_SOURCE_WIND: "wind",
  1189. utils.DATA_SOURCE_PB: "彭博",
  1190. utils.DATA_SOURCE_PB_FINANCE: "彭博财务",
  1191. utils.DATA_SOURCE_MANUAL: "手工数据",
  1192. utils.DATA_SOURCE_LZ: "隆众",
  1193. utils.DATA_SOURCE_YS: "SMM",
  1194. utils.DATA_SOURCE_GL: "钢联",
  1195. utils.DATA_SOURCE_ZZ: "郑商所",
  1196. utils.DATA_SOURCE_DL: "大商所",
  1197. utils.DATA_SOURCE_SH: "上期所",
  1198. utils.DATA_SOURCE_CFFEX: "中金所",
  1199. utils.DATA_SOURCE_SHFE: "上期能源",
  1200. utils.DATA_SOURCE_GIE: "欧洲天然气",
  1201. utils.DATA_SOURCE_LT: "路透",
  1202. utils.DATA_SOURCE_COAL: "中国煤炭市场网",
  1203. utils.DATA_SOURCE_GOOGLE_TRAVEL: "our world in data",
  1204. utils.DATA_SOURCE_MYSTEEL_CHEMICAL: "钢联化工",
  1205. utils.DATA_SOURCE_EIA_STEO: "EIA STEO报告",
  1206. utils.DATA_SOURCE_COM_TRADE: "UN",
  1207. utils.DATA_SOURCE_SCI: "SCI",
  1208. utils.DATA_SOURCE_BAIINFO: "BAIINFO",
  1209. utils.DATA_SOURCE_STOCK_PLANT: "存量装置",
  1210. utils.DATA_SOURCE_NATIONAL_STATISTICS: "国家统计局",
  1211. utils.DATA_SOURCE_FUBAO: "富宝数据",
  1212. }
  1213. sourceName, ok := sourceNameMap[source]
  1214. if !ok {
  1215. edbSource := EdbSourceIdMap[source]
  1216. if edbSource != nil {
  1217. sourceName = edbSource.SourceName
  1218. }
  1219. if sourceName == "" {
  1220. err = errors.New("指标来源异常")
  1221. return
  1222. }
  1223. }
  1224. edbInfo.SourceName = sourceName
  1225. edbType := 1 //基础指标
  1226. if source == utils.DATA_SOURCE_STOCK_PLANT {
  1227. edbType = 2 //计算指标
  1228. }
  1229. var sourceIndexName string
  1230. // 钢联化工需要校验下信息是否完整
  1231. if source == utils.DATA_SOURCE_MYSTEEL_CHEMICAL {
  1232. indexObj := new(BaseFromMysteelChemicalIndex)
  1233. tmpItem, tmpErr := indexObj.GetIndexItem(req.EdbCode)
  1234. if tmpErr != nil {
  1235. err = tmpErr
  1236. return
  1237. }
  1238. if tmpItem == nil || tmpItem.IndexName == `` {
  1239. err = errors.New("指标信息不全")
  1240. return
  1241. }
  1242. }
  1243. //获取该层级下最大的排序数
  1244. maxSort, err := GetEdbAndClassifyMaxSort(req.ClassifyId, 0)
  1245. if err != nil {
  1246. err = errors.New("查询排序信息失败,Err:" + err.Error())
  1247. return
  1248. }
  1249. edbInfo.EdbCode = req.EdbCode
  1250. edbInfo.EdbName = req.EdbName
  1251. edbInfo.EdbNameSource = req.EdbName
  1252. edbInfo.Frequency = req.Frequency
  1253. edbInfo.Unit = req.Unit
  1254. edbInfo.ClassifyId = req.ClassifyId
  1255. edbInfo.SysUserId = sysUserId
  1256. edbInfo.SysUserRealName = sysUserRealName
  1257. edbInfo.StartDate = "1990-01-01"
  1258. edbInfo.CreateTime = time.Now()
  1259. edbInfo.ModifyTime = time.Now()
  1260. edbInfo.ServerUrl = serverUrl
  1261. edbInfo.TerminalCode = req.TerminalCode
  1262. edbInfo.Sort = maxSort + 1
  1263. timestamp := strconv.FormatInt(time.Now().UnixNano(), 10)
  1264. edbInfo.UniqueCode = utils.MD5(utils.DATA_PREFIX + "_" + req.EdbCode + timestamp)
  1265. itemVal, err := GetEdbInfoMaxAndMinInfo(source, utils.DATA_SUB_SOURCE_EDB, req.EdbCode)
  1266. if itemVal != nil && err == nil {
  1267. edbInfo.MaxValue = itemVal.MaxValue
  1268. edbInfo.MinValue = itemVal.MinValue
  1269. }
  1270. edbInfo.EdbType = edbType
  1271. edbInfo.SourceIndexName = sourceIndexName
  1272. edbInfoId, err := AddEdbInfo(edbInfo)
  1273. if err != nil {
  1274. err = errors.New("保存失败,Err:" + err.Error())
  1275. return
  1276. }
  1277. edbInfo.EdbInfoId = int(edbInfoId)
  1278. return
  1279. }
  1280. func ModifyEdbInfoBaseTimeById(edbInfoId int, cTime time.Time) (err error) {
  1281. o := orm.NewOrm()
  1282. // 更新修改时间
  1283. sql := ` UPDATE edb_info SET base_modify_time = ? WHERE edb_info_id = ? `
  1284. _, err = o.Raw(sql, cTime, edbInfoId).Exec()
  1285. return
  1286. }
  1287. // EdbInfoRefreshCheckReq 指标数据更新情况查询
  1288. type EdbInfoRefreshCheckReq struct {
  1289. Source int `description:"来源id"`
  1290. LatestDate string `description:"数据最新日期"`
  1291. FrequencyBatch string `description:"更新频度"`
  1292. }
  1293. // EdbInfoRefreshCheckResp 指标数据更新情况查询
  1294. type EdbInfoRefreshCheckResp struct {
  1295. UpdateNum int `description:"已更新指标数"`
  1296. UnUpdateNum int `description:"未更新指标数"`
  1297. }
  1298. // ResetEdbClassifyReq 指标重新分类请求体
  1299. type ResetEdbClassifyReq struct {
  1300. IndexCode string `description:"指标编码"`
  1301. ClassifyFirst string `description:"一级分类名称"`
  1302. ClassifySecond string `description:"二级分类名称"`
  1303. ClassifyThird string `description:"三级分类名称"`
  1304. }
  1305. // GetEdbInfoMaxSortByClassifyId 获取分类下指标的最大的排序数
  1306. func GetEdbInfoMaxSortByClassifyId(classifyId int) (sort int, err error) {
  1307. o := orm.NewOrm()
  1308. sql := `SELECT Max(sort) AS sort FROM edb_info WHERE classify_id=? `
  1309. err = o.Raw(sql, classifyId).QueryRow(&sort)
  1310. return
  1311. }
  1312. func GetEdbAndClassifyMaxSort(parentId int, classifyType uint8) (maxSort int, err error) {
  1313. //获取该层级下最大的排序数
  1314. classifyMaxSort, err := GetEdbClassifyMaxSort(parentId, classifyType)
  1315. if err != nil {
  1316. return
  1317. }
  1318. maxSort = classifyMaxSort
  1319. edbMaxSort, err := GetEdbInfoMaxSortByClassifyId(parentId)
  1320. if err != nil {
  1321. return
  1322. }
  1323. if maxSort < edbMaxSort {
  1324. maxSort = edbMaxSort
  1325. }
  1326. return
  1327. }
  1328. // CalculateEdbExtra 指标运算额外配置
  1329. type CalculateEdbExtra struct {
  1330. 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"`
  1331. }
  1332. // CalculateLjzEdbExtra 累计值额外配置
  1333. type CalculateLjzEdbExtra struct {
  1334. LastValType int `description:"最新值处理:0默认、均值填充"`
  1335. }
  1336. type EdbInfoEditRecord struct {
  1337. EdbInfoId int `description:"指标ID"`
  1338. EdbName string `description:"指标名称"`
  1339. Frequency string `description:"频率"`
  1340. Unit string `description:"单位"`
  1341. ClassifyId int `description:"分类id"`
  1342. CalculateFormula string `description:"计算公式"`
  1343. OperateUserId int `description:"操作人id"`
  1344. OperateUserRealName string `description:"操作人姓名"`
  1345. }