chart_info.go 87 KB

12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152535455565758596061626364656667686970717273747576777879808182838485868788899091929394959697989910010110210310410510610710810911011111211311411511611711811912012112212312412512612712812913013113213313413513613713813914014114214314414514614714814915015115215315415515615715815916016116216316416516616716816917017117217317417517617717817918018118218318418518618718818919019119219319419519619719819920020120220320420520620720820921021121221321421521621721821922022122222322422522622722822923023123223323423523623723823924024124224324424524624724824925025125225325425525625725825926026126226326426526626726826927027127227327427527627727827928028128228328428528628728828929029129229329429529629729829930030130230330430530630730830931031131231331431531631731831932032132232332432532632732832933033133233333433533633733833934034134234334434534634734834935035135235335435535635735835936036136236336436536636736836937037137237337437537637737837938038138238338438538638738838939039139239339439539639739839940040140240340440540640740840941041141241341441541641741841942042142242342442542642742842943043143243343443543643743843944044144244344444544644744844945045145245345445545645745845946046146246346446546646746846947047147247347447547647747847948048148248348448548648748848949049149249349449549649749849950050150250350450550650750850951051151251351451551651751851952052152252352452552652752852953053153253353453553653753853954054154254354454554654754854955055155255355455555655755855956056156256356456556656756856957057157257357457557657757857958058158258358458558658758858959059159259359459559659759859960060160260360460560660760860961061161261361461561661761861962062162262362462562662762862963063163263363463563663763863964064164264364464564664764864965065165265365465565665765865966066166266366466566666766866967067167267367467567667767867968068168268368468568668768868969069169269369469569669769869970070170270370470570670770870971071171271371471571671771871972072172272372472572672772872973073173273373473573673773873974074174274374474574674774874975075175275375475575675775875976076176276376476576676776876977077177277377477577677777877978078178278378478578678778878979079179279379479579679779879980080180280380480580680780880981081181281381481581681781881982082182282382482582682782882983083183283383483583683783883984084184284384484584684784884985085185285385485585685785885986086186286386486586686786886987087187287387487587687787887988088188288388488588688788888989089189289389489589689789889990090190290390490590690790890991091191291391491591691791891992092192292392492592692792892993093193293393493593693793893994094194294394494594694794894995095195295395495595695795895996096196296396496596696796896997097197297397497597697797897998098198298398498598698798898999099199299399499599699799899910001001100210031004100510061007100810091010101110121013101410151016101710181019102010211022102310241025102610271028102910301031103210331034103510361037103810391040104110421043104410451046104710481049105010511052105310541055105610571058105910601061106210631064106510661067106810691070107110721073107410751076107710781079108010811082108310841085108610871088108910901091109210931094109510961097109810991100110111021103110411051106110711081109111011111112111311141115111611171118111911201121112211231124112511261127112811291130113111321133113411351136113711381139114011411142114311441145114611471148114911501151115211531154115511561157115811591160116111621163116411651166116711681169117011711172117311741175117611771178117911801181118211831184118511861187118811891190119111921193119411951196119711981199120012011202120312041205120612071208120912101211121212131214121512161217121812191220122112221223122412251226122712281229123012311232123312341235123612371238123912401241124212431244124512461247124812491250125112521253125412551256125712581259126012611262126312641265126612671268126912701271127212731274127512761277127812791280128112821283128412851286128712881289129012911292129312941295129612971298129913001301130213031304130513061307130813091310131113121313131413151316131713181319132013211322132313241325132613271328132913301331133213331334133513361337133813391340134113421343134413451346134713481349135013511352135313541355135613571358135913601361136213631364136513661367136813691370137113721373137413751376137713781379138013811382138313841385138613871388138913901391139213931394139513961397139813991400140114021403140414051406140714081409141014111412141314141415141614171418141914201421142214231424142514261427142814291430143114321433143414351436143714381439144014411442144314441445144614471448144914501451145214531454145514561457145814591460146114621463146414651466146714681469147014711472147314741475147614771478147914801481148214831484148514861487148814891490149114921493149414951496149714981499150015011502150315041505150615071508150915101511151215131514151515161517151815191520152115221523152415251526152715281529153015311532153315341535153615371538153915401541154215431544154515461547154815491550155115521553155415551556155715581559156015611562156315641565156615671568156915701571157215731574157515761577157815791580158115821583158415851586158715881589159015911592159315941595159615971598159916001601160216031604160516061607160816091610161116121613161416151616161716181619162016211622162316241625162616271628162916301631163216331634163516361637163816391640164116421643164416451646164716481649165016511652165316541655165616571658165916601661166216631664166516661667166816691670167116721673167416751676167716781679168016811682168316841685168616871688168916901691169216931694169516961697169816991700170117021703170417051706170717081709171017111712171317141715171617171718171917201721172217231724172517261727172817291730173117321733173417351736173717381739174017411742174317441745174617471748174917501751175217531754175517561757175817591760176117621763176417651766176717681769177017711772177317741775177617771778177917801781178217831784178517861787178817891790179117921793179417951796179717981799180018011802180318041805180618071808180918101811181218131814181518161817181818191820182118221823182418251826182718281829183018311832183318341835183618371838183918401841184218431844184518461847184818491850185118521853185418551856185718581859186018611862186318641865186618671868186918701871187218731874187518761877187818791880188118821883188418851886188718881889189018911892189318941895189618971898189919001901190219031904190519061907190819091910191119121913191419151916191719181919192019211922192319241925192619271928192919301931193219331934193519361937193819391940194119421943194419451946194719481949195019511952195319541955195619571958195919601961196219631964196519661967196819691970197119721973197419751976197719781979198019811982198319841985198619871988198919901991199219931994199519961997199819992000200120022003200420052006200720082009201020112012201320142015201620172018201920202021202220232024202520262027202820292030203120322033203420352036203720382039204020412042204320442045204620472048204920502051205220532054205520562057205820592060206120622063206420652066206720682069207020712072207320742075207620772078207920802081208220832084208520862087208820892090209120922093209420952096209720982099210021012102210321042105210621072108210921102111211221132114211521162117211821192120212121222123212421252126212721282129213021312132213321342135213621372138213921402141214221432144214521462147214821492150215121522153215421552156215721582159216021612162216321642165216621672168216921702171217221732174217521762177217821792180218121822183218421852186218721882189219021912192219321942195219621972198219922002201220222032204220522062207220822092210221122122213221422152216221722182219222022212222222322242225222622272228222922302231223222332234223522362237223822392240224122422243224422452246224722482249225022512252225322542255225622572258225922602261226222632264226522662267226822692270227122722273227422752276227722782279228022812282228322842285228622872288228922902291229222932294229522962297229822992300230123022303230423052306230723082309231023112312231323142315231623172318231923202321232223232324232523262327232823292330233123322333233423352336233723382339234023412342234323442345234623472348234923502351235223532354235523562357235823592360236123622363236423652366236723682369237023712372237323742375237623772378237923802381238223832384238523862387238823892390239123922393239423952396239723982399240024012402240324042405240624072408240924102411241224132414241524162417241824192420242124222423242424252426242724282429243024312432243324342435243624372438243924402441244224432444244524462447244824492450245124522453245424552456245724582459246024612462246324642465246624672468246924702471247224732474247524762477247824792480248124822483248424852486248724882489249024912492249324942495249624972498249925002501250225032504250525062507250825092510251125122513251425152516251725182519252025212522252325242525252625272528252925302531253225332534253525362537253825392540254125422543254425452546254725482549255025512552255325542555255625572558255925602561256225632564256525662567256825692570257125722573257425752576257725782579258025812582258325842585258625872588258925902591259225932594259525962597259825992600260126022603260426052606260726082609261026112612261326142615261626172618261926202621262226232624262526262627262826292630263126322633263426352636263726382639264026412642264326442645264626472648264926502651265226532654265526562657265826592660266126622663266426652666266726682669267026712672267326742675267626772678267926802681268226832684268526862687268826892690269126922693269426952696269726982699270027012702270327042705270627072708270927102711271227132714271527162717271827192720272127222723272427252726272727282729273027312732273327342735273627372738273927402741274227432744274527462747274827492750275127522753275427552756275727582759276027612762276327642765276627672768276927702771277227732774277527762777277827792780278127822783278427852786278727882789
  1. package data
  2. import (
  3. "encoding/json"
  4. "errors"
  5. "eta/eta_chart_lib/models"
  6. "eta/eta_chart_lib/models/data_manage"
  7. "eta/eta_chart_lib/services/alarm_msg"
  8. "eta/eta_chart_lib/utils"
  9. "fmt"
  10. "github.com/shopspring/decimal"
  11. "math"
  12. "sort"
  13. "strconv"
  14. "time"
  15. )
  16. // GetFrequencyEn 获取频度的英文版
  17. func GetFrequencyEn(frequency string) (frequencyEn string) {
  18. switch frequency {
  19. case "日度":
  20. frequencyEn = "day"
  21. return
  22. case "周度":
  23. frequencyEn = "week"
  24. return
  25. case "旬度":
  26. frequencyEn = "ten days"
  27. return
  28. case "月度":
  29. frequencyEn = "month"
  30. return
  31. case "季度":
  32. frequencyEn = "quarter"
  33. return
  34. case "年度":
  35. frequencyEn = "year"
  36. return
  37. }
  38. return
  39. }
  40. func GetLeadUnitEn(unit string) (unitEn string) {
  41. switch unit {
  42. case "天":
  43. unitEn = "day"
  44. return
  45. case "周":
  46. unitEn = "week"
  47. return
  48. case "月":
  49. unitEn = "month"
  50. return
  51. case "季":
  52. unitEn = "quarter"
  53. return
  54. case "年":
  55. unitEn = "year"
  56. return
  57. }
  58. return
  59. }
  60. // GetChartEdbData 获取图表的指标数据
  61. func GetChartEdbData(chartInfoId, chartType int, calendar, startDate, endDate string, mappingList []*models.ChartEdbInfoMapping, extraConfigStr, seasonExtraConfig string) (edbList []*models.ChartEdbInfoMapping, xEdbIdValue []int, yDataList []models.YData, dataResp interface{}, err error, errMsg string) {
  62. edbList = make([]*models.ChartEdbInfoMapping, 0)
  63. xEdbIdValue = make([]int, 0)
  64. yDataList = make([]models.YData, 0)
  65. var extraConfig interface{}
  66. switch chartType {
  67. case 6:
  68. var tmpConfig models.ChartTimeCombineExtraConf
  69. if extraConfigStr != `` {
  70. err = json.Unmarshal([]byte(extraConfigStr), &tmpConfig)
  71. if err != nil {
  72. errMsg = "雷达图配置异常"
  73. err = errors.New(errMsg)
  74. return
  75. }
  76. }
  77. extraConfig = tmpConfig
  78. case 7: // 柱形图
  79. var barConfig data_manage.BarChartInfoReq
  80. if extraConfigStr == `` {
  81. errMsg = "柱方图未配置"
  82. err = errors.New(errMsg)
  83. return
  84. }
  85. err = json.Unmarshal([]byte(extraConfigStr), &barConfig)
  86. if err != nil {
  87. errMsg = "柱方图配置异常"
  88. err = errors.New(errMsg)
  89. return
  90. }
  91. extraConfig = barConfig
  92. case 10: // 截面散点图
  93. var tmpExtraConfig data_manage.SectionScatterReq
  94. if extraConfigStr == `` {
  95. errMsg = "截面散点图未配置"
  96. err = errors.New(errMsg)
  97. return
  98. }
  99. err = json.Unmarshal([]byte(extraConfigStr), &tmpExtraConfig)
  100. if err != nil {
  101. errMsg = "截面散点配置异常"
  102. err = errors.New(errMsg)
  103. return
  104. }
  105. extraConfig = tmpExtraConfig
  106. case utils.CHART_TYPE_RADAR:
  107. var barConfig data_manage.RadarChartInfoReq
  108. if extraConfigStr == `` {
  109. errMsg = "雷达图未配置"
  110. err = errors.New(errMsg)
  111. return
  112. }
  113. err = json.Unmarshal([]byte(extraConfigStr), &barConfig)
  114. if err != nil {
  115. errMsg = "雷达图配置异常"
  116. err = errors.New(errMsg)
  117. return
  118. }
  119. extraConfig = barConfig
  120. case utils.CHART_TYPE_SECTION_COMBINE:
  121. // 预览和详情都走这个接口
  122. var sectionExtraConfig models.ChartSectionAllExtraConf
  123. if extraConfigStr == `` {
  124. errMsg = "截面组合图未配置"
  125. err = errors.New(errMsg)
  126. return
  127. }
  128. if chartInfoId > 0 {
  129. var sectionExtraConfigTmp models.ChartSectionExtraConf
  130. err = json.Unmarshal([]byte(extraConfigStr), &sectionExtraConfigTmp)
  131. if err != nil {
  132. errMsg = "截面组合图配置异常"
  133. err = errors.New(errMsg)
  134. return
  135. }
  136. sectionExtraConfig.XDataList = sectionExtraConfigTmp.XDataList
  137. sectionExtraConfig.BaseChartSeriesName = sectionExtraConfigTmp.BaseChartSeriesName
  138. sectionExtraConfig.UnitList = sectionExtraConfigTmp.UnitList
  139. sectionExtraConfig.DateConfList = sectionExtraConfigTmp.DateConfList
  140. sectionExtraConfig.IsHeap = sectionExtraConfigTmp.IsHeap
  141. sectionExtraConfig.SortType = sectionExtraConfigTmp.SortType
  142. // 查询所有的seriesEdb
  143. seriesEdbList, e := models.GetChartSeriesEdbByChartInfoId(chartInfoId)
  144. if e != nil {
  145. errMsg = "查询seriesEdb失败"
  146. err = errors.New(errMsg + e.Error())
  147. return
  148. }
  149. // todo 是否有必要返回单位信息
  150. // 组装成map
  151. seriesEdbMap := make(map[int][]*models.ChartSectionSeriesEdbConf)
  152. for _, v := range seriesEdbList {
  153. var dateConf *models.ChartSectionSeriesDateConfItem
  154. if v.DateConf != "" {
  155. err = json.Unmarshal([]byte(v.DateConf), &dateConf)
  156. if err != nil {
  157. errMsg = "截面组合图配置异常"
  158. err = errors.New(errMsg + err.Error())
  159. return
  160. }
  161. }
  162. tmp := &models.ChartSectionSeriesEdbConf{
  163. ChartSeriesEdbMappingId: v.ChartSeriesEdbMappingId,
  164. ChartSeriesId: v.ChartSeriesId,
  165. //ChartInfoId: v.ChartInfoId,
  166. EdbInfoId: v.EdbInfoId,
  167. DateConf: dateConf,
  168. EdbName: "",
  169. EdbNameEn: "",
  170. Unit: "",
  171. UnitEn: "",
  172. DateConfName: v.DateConfName,
  173. DateConfType: v.DateConfType,
  174. }
  175. seriesEdbMap[v.ChartSeriesId] = append(seriesEdbMap[v.ChartSeriesId], tmp)
  176. }
  177. //查询series
  178. seriesListTmp, e := models.GetChartSeriesByChartInfoId(chartInfoId)
  179. if e != nil {
  180. errMsg = "查询series失败"
  181. err = errors.New(errMsg + e.Error())
  182. return
  183. }
  184. seriesList := make([]*models.ChartSectionSeriesItem, 0)
  185. for _, v := range seriesListTmp {
  186. tmpSeries := &models.ChartSectionSeriesItem{
  187. ChartSeriesId: v.ChartSeriesId,
  188. SeriesName: v.SeriesName,
  189. SeriesNameEn: v.SeriesNameEn,
  190. ChartStyle: v.ChartStyle,
  191. ChartColor: v.ChartColor,
  192. ChartWidth: v.ChartWidth,
  193. IsPoint: v.IsPoint,
  194. IsNumber: v.IsNumber,
  195. IsAxis: v.IsAxis,
  196. MaxData: v.MaxData,
  197. MinData: v.MinData,
  198. //IsOrder: false,
  199. EdbInfoList: nil,
  200. DataList: nil,
  201. }
  202. edbInfoList, ok := seriesEdbMap[v.ChartSeriesId]
  203. if ok {
  204. tmpSeries.EdbInfoList = edbInfoList
  205. }
  206. seriesList = append(seriesList, tmpSeries)
  207. }
  208. sectionExtraConfig.SeriesList = seriesList
  209. } else {
  210. err = json.Unmarshal([]byte(extraConfigStr), &sectionExtraConfig)
  211. if err != nil {
  212. errMsg = "截面组合图配置异常"
  213. err = errors.New(errMsg)
  214. return
  215. }
  216. }
  217. //校验引用日期名称是否重复
  218. dateNameMap := make(map[string]int)
  219. dateNameEnMap := make(map[string]int)
  220. for _, v := range sectionExtraConfig.DateConfList {
  221. if _, ok := dateNameMap[v.DateConfName]; ok {
  222. errMsg = "截面组合图引用日期名称设置重复"
  223. err = errors.New(errMsg + v.DateConfName)
  224. return
  225. }
  226. if _, ok := dateNameEnMap[v.DateConfNameEn]; ok {
  227. errMsg = "截面组合图引用日期名称设置重复"
  228. err = errors.New(errMsg + v.DateConfNameEn)
  229. return
  230. }
  231. if v.DateConfName != "" {
  232. dateNameMap[v.DateConfName] = 1
  233. }
  234. if v.DateConfNameEn != "" {
  235. dateNameEnMap[v.DateConfNameEn] = 1
  236. }
  237. }
  238. //检查系列名称是否重复
  239. seriesNameMap := make(map[string]int)
  240. seriesNameEnMap := make(map[string]int)
  241. for _, v := range sectionExtraConfig.SeriesList {
  242. if _, ok := seriesNameMap[v.SeriesName]; ok {
  243. errMsg = "截面组合图系列名称设置重复"
  244. err = errors.New(errMsg + v.SeriesName)
  245. return
  246. }
  247. if _, ok := seriesNameEnMap[v.SeriesNameEn]; ok {
  248. errMsg = "截面组合图系列名称设置重复"
  249. err = errors.New(errMsg + v.SeriesNameEn)
  250. return
  251. }
  252. if v.SeriesName != "" {
  253. seriesNameMap[v.SeriesName] = 1
  254. }
  255. if v.SeriesNameEn != "" {
  256. seriesNameEnMap[v.SeriesNameEn] = 1
  257. }
  258. }
  259. // 检查基准系列是否设置
  260. if sectionExtraConfig.BaseChartSeriesName == "" {
  261. errMsg = "截面组合图基准系列名称未设置"
  262. err = errors.New(errMsg)
  263. return
  264. }
  265. //todo 如果是详情接口,应该要从其他表里查询配置
  266. extraConfig = sectionExtraConfig
  267. default:
  268. xEdbIdValue = make([]int, 0)
  269. yDataList = make([]models.YData, 0)
  270. }
  271. // 指标对应的所有数据
  272. edbDataListMap, edbList, err := getEdbDataMapList(chartInfoId, chartType, calendar, startDate, endDate, mappingList, seasonExtraConfig)
  273. if err != nil {
  274. return
  275. }
  276. // 特殊图形数据处理
  277. switch chartType {
  278. case 2: // 季节性图
  279. if seasonExtraConfig != "" {
  280. // 季节性图计算不管图上数据时间,拿所有数据
  281. _, tempEdbList, e := getEdbDataMapListForSeason(chartInfoId, chartType, calendar, "1990-01-01", "", mappingList, seasonExtraConfig)
  282. if e != nil {
  283. err = e
  284. return
  285. }
  286. dataResp, err = SeasonChartData(tempEdbList, seasonExtraConfig)
  287. } else {
  288. // 兼容无配置的老图
  289. dataResp = new(models.SeasonChartResp)
  290. }
  291. case 6: //时序组合图
  292. //判断是否堆积
  293. timeConf := extraConfig.(models.ChartTimeCombineExtraConf)
  294. if extraConfigStr == "" { //历史数据,默认开启堆积
  295. timeConf = models.ChartTimeCombineExtraConf{
  296. IsHeap: 1,
  297. }
  298. }
  299. dataResp = models.ChartTimeCombineDataResp{IsHeap: timeConf.IsHeap}
  300. case 7: // 柱形图
  301. barChartConf := extraConfig.(data_manage.BarChartInfoReq)
  302. xEdbIdValue, yDataList, err = BarChartData(mappingList, edbDataListMap, barChartConf.DateList, barChartConf.Sort)
  303. for _, v := range edbList {
  304. // 指标别名
  305. if barChartConf.EdbInfoIdList != nil && len(barChartConf.EdbInfoIdList) > 0 {
  306. for _, reqEdb := range barChartConf.EdbInfoIdList {
  307. if v.EdbInfoId == reqEdb.EdbInfoId {
  308. v.EdbAliasName = reqEdb.Name
  309. }
  310. }
  311. }
  312. }
  313. for k := range yDataList {
  314. yDataList[k].Unit = barChartConf.Unit
  315. yDataList[k].UnitEn = barChartConf.UnitEn
  316. }
  317. case 10: // 截面散点图
  318. sectionScatterConf := extraConfig.(data_manage.SectionScatterReq)
  319. xEdbIdValue, dataResp, err = GetSectionScatterChartData(mappingList, edbDataListMap, sectionScatterConf)
  320. case utils.CHART_TYPE_SECTION_COMBINE: // 截面组合图
  321. sectionConf := extraConfig.(models.ChartSectionAllExtraConf)
  322. var chartInfo *models.ChartInfo
  323. if chartInfoId > 0 {
  324. chartInfo, err = models.GetChartInfoById(chartInfoId)
  325. if err != nil {
  326. errMsg = "获取图表信息失败"
  327. return
  328. }
  329. }
  330. xEdbIdValue, dataResp, err = GetChartSectionCombineData(chartInfo, mappingList, edbDataListMap, sectionConf)
  331. // 这个数据没有必要返回给前端
  332. for _, v := range edbList {
  333. v.DataList = nil
  334. }
  335. case utils.CHART_TYPE_RADAR: //雷达图
  336. radarConf := extraConfig.(data_manage.RadarChartInfoReq)
  337. xEdbIdValue, dataResp, err = RadarChartData(mappingList, edbDataListMap, radarConf)
  338. }
  339. return
  340. }
  341. // GetEdbDataMapList 获取指标最后的基础数据
  342. func GetEdbDataMapList(chartInfoId, chartType int, calendar, startDate, endDate string, mappingList []*models.ChartEdbInfoMapping, seasonExtraConfig string) (edbDataListMap map[int][]*models.EdbDataList, edbList []*models.ChartEdbInfoMapping, err error) {
  343. edbDataListMap, edbList, err = getEdbDataMapList(chartInfoId, chartType, calendar, startDate, endDate, mappingList, seasonExtraConfig)
  344. return
  345. }
  346. // getEdbDataMapList 获取指标最后的基础数据
  347. func getEdbDataMapList(chartInfoId, chartType int, calendar, startDate, endDate string, mappingList []*models.ChartEdbInfoMapping, seasonExtraConfig string) (edbDataListMap map[int][]*models.EdbDataList, edbList []*models.ChartEdbInfoMapping, err error) {
  348. // 指标对应的所有数据
  349. edbDataListMap = make(map[int][]*models.EdbDataList)
  350. for _, v := range mappingList {
  351. //fmt.Println("v:", v.EdbInfoId)
  352. item := new(models.ChartEdbInfoMapping)
  353. item.EdbInfoId = v.EdbInfoId
  354. item.SourceName = v.SourceName
  355. item.Source = v.Source
  356. item.EdbCode = v.EdbCode
  357. item.EdbName = v.EdbName
  358. item.EdbType = v.EdbType
  359. item.EdbNameEn = v.EdbNameEn
  360. item.Frequency = v.Frequency
  361. item.FrequencyEn = GetFrequencyEn(v.Frequency)
  362. if v.Unit != `无` {
  363. item.Unit = v.Unit
  364. }
  365. item.UnitEn = v.UnitEn
  366. item.StartDate = v.StartDate
  367. item.EndDate = v.EndDate
  368. item.ModifyTime = v.ModifyTime
  369. item.EdbInfoCategoryType = v.EdbInfoCategoryType
  370. item.PredictChartColor = v.PredictChartColor
  371. item.EdbAliasName = v.EdbAliasName
  372. if chartInfoId <= 0 {
  373. item.IsAxis = 1
  374. item.LeadValue = 0
  375. item.LeadUnit = ""
  376. //item.ChartEdbMappingId = 0
  377. item.ChartInfoId = 0
  378. item.IsOrder = false
  379. item.EdbInfoType = 1
  380. item.ChartStyle = ""
  381. item.ChartColor = ""
  382. item.ChartWidth = 0
  383. item.MaxData = v.MaxValue
  384. item.MinData = v.MinValue
  385. } else {
  386. item.IsAxis = v.IsAxis
  387. item.EdbInfoType = v.EdbInfoType
  388. item.LeadValue = v.LeadValue
  389. item.LeadUnit = v.LeadUnit
  390. item.LeadUnitEn = GetLeadUnitEn(v.LeadUnit)
  391. //item.ChartEdbMappingId = v.ChartEdbMappingId
  392. item.ChartInfoId = v.ChartInfoId
  393. item.ChartStyle = v.ChartStyle
  394. item.ChartColor = v.ChartColor
  395. item.ChartWidth = v.ChartWidth
  396. item.IsOrder = v.IsOrder
  397. item.MaxData = v.MaxData
  398. item.MinData = v.MinData
  399. }
  400. item.LatestValue = v.LatestValue
  401. item.LatestDate = v.LatestDate
  402. item.UniqueCode = v.UniqueCode
  403. item.MoveLatestDate = v.LatestDate
  404. item.IsConvert = v.IsConvert
  405. item.ConvertType = v.ConvertType
  406. item.ConvertValue = v.ConvertValue
  407. item.ConvertUnit = v.ConvertUnit
  408. item.ConvertEnUnit = v.ConvertEnUnit
  409. var startDateReal string
  410. var diffSeconds int64
  411. if chartType == 2 { //季节性图
  412. startDateReal = startDate
  413. if len(mappingList) > 1 {
  414. item.IsAxis = v.IsAxis
  415. }
  416. } else {
  417. if v.EdbInfoType == 0 && v.LeadUnit != "" && v.LeadValue > 0 { //领先指标
  418. var startTimeRealTemp time.Time
  419. startDateParse, _ := time.Parse(utils.FormatDate, startDate)
  420. switch v.LeadUnit {
  421. case "天":
  422. startTimeRealTemp = startDateParse.AddDate(0, 0, -v.LeadValue)
  423. case "月":
  424. startTimeRealTemp = startDateParse.AddDate(0, -v.LeadValue, 0)
  425. case "季":
  426. startTimeRealTemp = startDateParse.AddDate(0, -3*v.LeadValue, 0)
  427. case "周":
  428. startTimeRealTemp = startDateParse.AddDate(0, 0, -7*v.LeadValue)
  429. case "年":
  430. startTimeRealTemp = startDateParse.AddDate(-v.LeadValue, 0, 0)
  431. }
  432. if startTimeRealTemp.Before(startDateParse) {
  433. startDateReal = startTimeRealTemp.Format(utils.FormatDate)
  434. diffSeconds = (int64(startTimeRealTemp.UnixNano()) - int64(startDateParse.UnixNano())) / 1e6
  435. } else {
  436. startDateReal = startDate
  437. diffSeconds = 0
  438. }
  439. // 预测指标的开始日期也要偏移
  440. {
  441. day, tmpErr := utils.GetDaysBetween2Date(utils.FormatDate, startDate, startDateReal)
  442. if tmpErr != nil {
  443. err = tmpErr
  444. return
  445. }
  446. moveLatestDateTime, tmpErr := time.ParseInLocation(utils.FormatDate, item.MoveLatestDate, time.Local)
  447. if tmpErr != nil {
  448. err = tmpErr
  449. return
  450. }
  451. item.MoveLatestDate = moveLatestDateTime.AddDate(0, 0, day).Format(utils.FormatDate)
  452. }
  453. } else {
  454. startDateReal = startDate
  455. }
  456. }
  457. //fmt.Println("line 1011 chart:", v.Source, v.EdbInfoId, startDateReal, endDate)
  458. calendarPreYear := 0
  459. if calendar == "农历" {
  460. newStartDateReal, err := time.Parse(utils.FormatDate, startDateReal)
  461. if err != nil {
  462. fmt.Println("time.Parse:" + err.Error())
  463. }
  464. calendarPreYear = newStartDateReal.Year() - 1
  465. newStartDateReal = newStartDateReal.AddDate(-1, 0, 0)
  466. startDateReal = newStartDateReal.Format(utils.FormatDate)
  467. }
  468. dataList := make([]*models.EdbDataList, 0)
  469. //fmt.Println("chart:", v.Source, v.EdbInfoId, startDateReal, endDate)
  470. switch v.EdbInfoCategoryType {
  471. case 0:
  472. dataList, err = models.GetEdbDataList(v.Source, v.SubSource, v.EdbInfoId, startDateReal, endDate)
  473. case 1:
  474. _, dataList, _, _, err, _ = GetPredictDataListByPredictEdbInfoId(v.EdbInfoId, startDateReal, endDate, false)
  475. default:
  476. err = errors.New(fmt.Sprint("获取失败,指标类型异常", v.EdbInfoCategoryType))
  477. }
  478. if err != nil {
  479. return
  480. }
  481. if v.IsConvert == 1 {
  482. switch v.ConvertType {
  483. case 1:
  484. for i, data := range dataList {
  485. dataList[i].Value = data.Value * v.ConvertValue
  486. }
  487. //item.MaxData = item.MaxData * v.ConvertValue
  488. //item.MinData = item.MinData * v.ConvertValue
  489. case 2:
  490. for i, data := range dataList {
  491. dataList[i].Value = data.Value / v.ConvertValue
  492. }
  493. //item.MaxData = item.MaxData / v.ConvertValue
  494. //item.MinData = item.MinData / v.ConvertValue
  495. case 3:
  496. for i, data := range dataList {
  497. dataList[i].Value = math.Log(data.Value) / math.Log(v.ConvertValue)
  498. }
  499. //item.MaxData = math.Log(item.MaxData) / math.Log(v.ConvertValue)
  500. //item.MinData = math.Log(item.MinData) / math.Log(v.ConvertValue)
  501. }
  502. }
  503. edbDataListMap[v.EdbInfoId] = dataList
  504. if diffSeconds != 0 && v.EdbInfoType == 0 {
  505. dataListLen := len(dataList)
  506. for i := 0; i < dataListLen; i++ {
  507. dataList[i].DataTimestamp = dataList[i].DataTimestamp - diffSeconds
  508. }
  509. }
  510. if chartType == 2 && item.IsAxis == 1 {
  511. latestDate, tmpErr := time.Parse(utils.FormatDate, v.LatestDate)
  512. if tmpErr != nil {
  513. err = errors.New(fmt.Sprint("获取最后实际数据的日期失败,Err:" + tmpErr.Error() + ";LatestDate:" + v.LatestDate))
  514. return
  515. }
  516. if calendar == "农历" {
  517. if len(dataList) <= 0 {
  518. result := new(models.EdbDataResult)
  519. item.DataList = result
  520. } else {
  521. result, tmpErr := models.AddCalculateQuarterV6(dataList)
  522. if tmpErr != nil {
  523. err = errors.New("获取农历数据失败,Err:" + tmpErr.Error())
  524. return
  525. }
  526. quarterDataList, tErr := GetSeasonEdbInfoDataListByXDateNong(result, latestDate, seasonExtraConfig, calendarPreYear)
  527. if tErr != nil {
  528. err = errors.New("获取季节性图表数据失败,Err:" + tErr.Error())
  529. return
  530. }
  531. item.DataList = quarterDataList
  532. }
  533. } else {
  534. quarterDataList, tErr := GetSeasonEdbInfoDataListByXDate(dataList, latestDate, seasonExtraConfig)
  535. if tErr != nil {
  536. err = errors.New("获取季节性图表数据失败,Err:" + tErr.Error())
  537. return
  538. }
  539. item.DataList = quarterDataList
  540. }
  541. } else if chartType == 2 && item.IsAxis == 0 {
  542. // 右轴数据处理,只要最新一年
  543. latestDate, tmpErr := time.Parse(utils.FormatDate, v.LatestDate)
  544. if tmpErr != nil {
  545. //item.DataList = dataList
  546. item.IsNullData = true
  547. edbList = append(edbList, item)
  548. continue
  549. err = errors.New(fmt.Sprint("获取最后实际数据的日期失败,Err:" + tmpErr.Error() + ";LatestDate:" + v.LatestDate))
  550. return
  551. }
  552. newDataList := make([]*models.EdbDataList, 0)
  553. for _, v := range dataList {
  554. dataTime, e := time.Parse(utils.FormatDate, v.DataTime)
  555. if e != nil {
  556. err = errors.New("季节性图处理右轴指标数据转换日期失败,Err:" + e.Error())
  557. return
  558. }
  559. if dataTime.Year() == latestDate.Year() {
  560. newDataList = append(newDataList, v)
  561. }
  562. }
  563. item.DataList = newDataList
  564. } else if chartType == 7 || chartType == utils.CHART_TYPE_RADAR { //柱方图
  565. //item.DataList = dataList
  566. } else {
  567. item.DataList = dataList
  568. }
  569. edbList = append(edbList, item)
  570. }
  571. return
  572. }
  573. // GetSeasonEdbInfoDataListByXDate 季节性图的指标数据根据横轴展示
  574. func GetSeasonEdbInfoDataListByXDate(dataList []*models.EdbDataList, latestDate time.Time, seasonExtraConfig string) (quarterDataListSort models.QuarterDataList, err error) {
  575. xStartDate := "01-01"
  576. xEndDate := "12-31"
  577. jumpYear := 0
  578. legends := make([]models.SeasonChartLegend, 0)
  579. var seasonExtra models.SeasonExtraItem
  580. if seasonExtraConfig != "" {
  581. err = json.Unmarshal([]byte(seasonExtraConfig), &seasonExtra)
  582. if err != nil {
  583. return
  584. }
  585. }
  586. if seasonExtra.XStartDate != "" {
  587. xStartDate = seasonExtra.XStartDate
  588. xEndDate = seasonExtra.XEndDate
  589. jumpYear = seasonExtra.JumpYear
  590. legends = seasonExtra.ChartLegend
  591. }
  592. length := len(dataList)
  593. if length == 0 {
  594. return
  595. }
  596. legendMap := make(map[string]string, 0)
  597. if len(legends) > 0 {
  598. for _, v := range legends {
  599. legendMap[v.Name] = v.Value
  600. }
  601. }
  602. latestDateStr := latestDate.Format(utils.FormatDate)
  603. //判断横轴的两个时间之间是不是跨年了,如果跨年了,则横轴截止年份比起始年份+1,如果不跨年,截止年份等于起始年份
  604. //根据数据确定最早的年份,和最近年份
  605. //根据横轴的日期,汇总所有的年份
  606. startDate := dataList[0].DataTime
  607. startDateT, tmpErr := time.Parse(utils.FormatDate, startDate)
  608. if tmpErr != nil {
  609. err = tmpErr
  610. return
  611. }
  612. startYear := startDateT.Year()
  613. //获取数据的最新日期
  614. lastDate := dataList[length-1].DataTime
  615. lastDateT, tmpErr := time.Parse(utils.FormatDate, lastDate)
  616. if tmpErr != nil {
  617. err = tmpErr
  618. return
  619. }
  620. endYear := lastDateT.Year()
  621. nowYear := time.Now().Year()
  622. chartLegendMaxYear := 0
  623. dataMap := make(map[string]models.QuarterXDateItem, 0)
  624. quarterDataList := make([]*models.QuarterData, 0)
  625. quarterMap := make(map[string][]*models.EdbDataList, 0)
  626. //整理出日期
  627. idx := 1
  628. chartLegendMap := make(map[string]int, 0)
  629. for currentStartYear := startYear; currentStartYear <= endYear; currentStartYear++ {
  630. startStr := fmt.Sprintf("%d-%s", currentStartYear, xStartDate)
  631. currentEndYear := currentStartYear
  632. if jumpYear == 1 {
  633. currentEndYear = currentStartYear + 1
  634. }
  635. endStr := fmt.Sprintf("%d-%s", currentEndYear, xEndDate)
  636. name := fmt.Sprintf("%s_%s", startStr, endStr)
  637. showName := fmt.Sprintf("%d_%d", currentStartYear, currentEndYear)
  638. startT, tEr := time.Parse(utils.FormatDate, startStr)
  639. if tEr != nil {
  640. err = tEr
  641. return
  642. }
  643. endT, tEr := time.Parse(utils.FormatDate, endStr)
  644. if tEr != nil {
  645. err = tEr
  646. return
  647. }
  648. if lastDateT.Before(startT) {
  649. //如果最新的日期在起始日之前,则跳出循环
  650. break
  651. }
  652. if endT.Year() > nowYear {
  653. //如果最新的日期比真实年份要大,则数据全部按照最大的年份补齐
  654. nowYear = endT.Year()
  655. }
  656. item := models.QuarterXDateItem{
  657. StartDate: startT,
  658. EndDate: endT,
  659. ShowName: showName,
  660. }
  661. chartLegendMaxYear = endT.Year()
  662. dataMap[name] = item
  663. chartLegendMap[name] = idx
  664. idx++
  665. fmt.Println("年份" + showName + "日期" + startStr + " " + endStr)
  666. if lastDateT.Before(endT) {
  667. //如果最新的日期在起始日之前,则跳出循环
  668. break
  669. }
  670. }
  671. lenYear := len(dataMap)
  672. if chartLegendMaxYear > endYear {
  673. chartLegendMaxYear = endYear
  674. }
  675. for k, v := range dataMap {
  676. if i, ok := chartLegendMap[k]; ok {
  677. //v.ChartLegend = strconv.Itoa(endYear - lenYear + i)
  678. v.ChartLegend = strconv.Itoa(chartLegendMaxYear - lenYear + i)
  679. }
  680. dataMap[k] = v
  681. }
  682. for _, v := range dataList {
  683. dataTimeT, _ := time.Parse(utils.FormatDate, v.DataTime)
  684. year := dataTimeT.Year()
  685. newItemDate := dataTimeT.AddDate(nowYear-year, 0, 0)
  686. for k, dateItem := range dataMap {
  687. tmpVal := models.EdbDataList{
  688. EdbDataId: v.EdbDataId,
  689. EdbInfoId: v.EdbInfoId,
  690. DataTime: v.DataTime,
  691. DataTimestamp: v.DataTimestamp,
  692. Value: v.Value,
  693. }
  694. if (dateItem.StartDate.Before(dataTimeT) && dateItem.EndDate.After(dataTimeT)) || dateItem.StartDate == dataTimeT || dateItem.EndDate == dataTimeT {
  695. if jumpYear == 1 {
  696. //计算前一年最大的日期, 只补齐数据到去年
  697. beforeYearMaxDate := fmt.Sprintf("%d-12-31", dateItem.StartDate.Year())
  698. beforeYearMaxDateT, _ := time.Parse(utils.FormatDate, beforeYearMaxDate)
  699. if dataTimeT.Before(beforeYearMaxDateT) || dataTimeT == beforeYearMaxDateT {
  700. newItemDate = dataTimeT.AddDate(nowYear-year-1, 0, 0)
  701. } else {
  702. newItemDate = dataTimeT.AddDate(nowYear-year, 0, 0)
  703. }
  704. } else {
  705. newItemDate = dataTimeT.AddDate(nowYear-year, 0, 0)
  706. }
  707. timestamp := newItemDate.UnixNano() / 1e6
  708. tmpVal.DataTimestamp = timestamp
  709. tmpV := &tmpVal
  710. if findVal, ok := quarterMap[k]; !ok {
  711. findVal = append(findVal, tmpV)
  712. quarterMap[k] = findVal
  713. } else {
  714. findVal = append(findVal, tmpV)
  715. quarterMap[k] = findVal
  716. }
  717. if v.DataTime == latestDateStr {
  718. dateItem.CuttingDataTimestamp = timestamp
  719. dataMap[k] = dateItem
  720. }
  721. //break
  722. }
  723. }
  724. }
  725. for k, v := range dataMap {
  726. itemList := quarterMap[k]
  727. quarterItem := new(models.QuarterData)
  728. quarterItem.Years = v.ShowName
  729. quarterItem.Year = v.ChartLegend
  730. quarterItem.ChartLegend = v.ChartLegend
  731. if le, ok := legendMap[v.ShowName]; ok {
  732. if le != strconv.Itoa(v.StartDate.Year()) && le != strconv.Itoa(v.EndDate.Year()) {
  733. quarterItem.ChartLegend = le
  734. }
  735. }
  736. quarterItem.DataList = itemList
  737. quarterItem.CuttingDataTimestamp = v.CuttingDataTimestamp
  738. //如果等于最后的实际日期,那么将切割时间戳记录
  739. if quarterItem.CuttingDataTimestamp == 0 {
  740. //如果大于最后的实际日期,那么第一个点就是切割的时间戳
  741. if latestDate.Before(v.StartDate) && len(itemList) > 0 {
  742. quarterItem.CuttingDataTimestamp = itemList[0].DataTimestamp - 100
  743. }
  744. }
  745. quarterDataList = append(quarterDataList, quarterItem)
  746. }
  747. if len(quarterDataList) > 0 {
  748. quarterDataListSort = quarterDataList
  749. sort.Sort(quarterDataListSort)
  750. }
  751. return
  752. }
  753. // GetSeasonEdbInfoDataListByXDateNong 季节性图的指标数据根据横轴选择农历时展示
  754. func GetSeasonEdbInfoDataListByXDateNong(result *models.EdbDataResult, latestDate time.Time, seasonExtraConfig string, calendarPreYear int) (quarterDataListSort models.QuarterDataList, err error) {
  755. xStartDate := "01-01"
  756. xEndDate := "12-31"
  757. jumpYear := 0
  758. legends := make([]models.SeasonChartLegend, 0)
  759. var seasonExtra models.SeasonExtraItem
  760. if seasonExtraConfig != "" {
  761. err = json.Unmarshal([]byte(seasonExtraConfig), &seasonExtra)
  762. if err != nil {
  763. return
  764. }
  765. }
  766. if seasonExtra.XStartDate != "" {
  767. xStartDate = seasonExtra.XStartDate
  768. xEndDate = seasonExtra.XEndDate
  769. jumpYear = seasonExtra.JumpYear
  770. legends = seasonExtra.ChartLegend
  771. }
  772. length := len(result.List)
  773. if length == 0 {
  774. return
  775. }
  776. legendMap := make(map[string]string, 0)
  777. if len(legends) > 0 {
  778. for _, v := range legends {
  779. legendMap[v.Name] = v.Value
  780. }
  781. }
  782. latestDateYear := latestDate.Year()
  783. //判断横轴的两个时间之间是不是跨年了,如果跨年了,则横轴截止年份比起始年份+1,如果不跨年,截止年份等于起始年份
  784. //根据数据确定最早的年份,和最近年份
  785. //根据横轴的日期,汇总所有的年份
  786. startYear := result.List[0].Year
  787. /*if jumpYear == 1 {
  788. if startYear != calendarPreYear {
  789. startYear = startYear - 1
  790. }
  791. }*/
  792. itemLength := len(result.List[length-1].Items)
  793. //获取数据的最新日期
  794. lastDate := result.List[length-1].Items[itemLength-1].DataTime
  795. maxY := result.List[length-1].Year
  796. lastDateT, tmpErr := time.Parse(utils.FormatDate, lastDate)
  797. if tmpErr != nil {
  798. err = tmpErr
  799. return
  800. }
  801. endYear := lastDateT.Year()
  802. nowYear := time.Now().Year()
  803. chartLegendMaxYear := 0
  804. dataMap := make(map[string]models.QuarterXDateItem, 0)
  805. quarterDataList := make([]*models.QuarterData, 0)
  806. resultData := make([]*models.QuarterData, 0)
  807. quarterMap := make(map[string][]*models.EdbDataList, 0)
  808. //整理出日期
  809. var startTmpT, endTmpT time.Time
  810. idx := 1
  811. chartLegendMap := make(map[string]int, 0)
  812. for currentStartYear := startYear; currentStartYear <= endYear; currentStartYear++ {
  813. startStr := fmt.Sprintf("%d-%s", currentStartYear, xStartDate)
  814. currentEndYear := currentStartYear
  815. if jumpYear == 1 {
  816. currentEndYear = currentStartYear + 1
  817. }
  818. endStr := fmt.Sprintf("%d-%s", currentEndYear, xEndDate)
  819. showName := fmt.Sprintf("%d_%d", currentStartYear, currentEndYear)
  820. startT, tEr := time.Parse(utils.FormatDate, startStr)
  821. if tEr != nil {
  822. err = tEr
  823. return
  824. }
  825. endT, tEr := time.Parse(utils.FormatDate, endStr)
  826. if tEr != nil {
  827. err = tEr
  828. return
  829. }
  830. if lastDateT.Before(startT) {
  831. //如果最新的日期在起始日之前,则跳出循环
  832. break
  833. }
  834. if endT.Year() > nowYear {
  835. //如果最新的日期比真实年份要大,则数据全部按照最大的年份补齐
  836. nowYear = endT.Year()
  837. }
  838. item := models.QuarterXDateItem{
  839. StartDate: startT,
  840. EndDate: endT,
  841. ShowName: showName,
  842. }
  843. chartLegendMaxYear = endT.Year()
  844. dataMap[showName] = item
  845. fmt.Println("年份" + showName + "日期" + startStr + " " + endStr)
  846. startTmpT = startT
  847. endTmpT = endT
  848. chartLegendMap[showName] = idx
  849. idx++
  850. if lastDateT.Before(endT) {
  851. //如果最新的日期在起始日之前,则跳出循环
  852. break
  853. }
  854. }
  855. lenYear := len(dataMap)
  856. if chartLegendMaxYear > endYear {
  857. chartLegendMaxYear = endYear
  858. }
  859. for k, v := range dataMap {
  860. if i, ok := chartLegendMap[k]; ok {
  861. //v.ChartLegend = strconv.Itoa(endYear - lenYear + i)
  862. v.ChartLegend = strconv.Itoa(chartLegendMaxYear - lenYear + i)
  863. }
  864. dataMap[k] = v
  865. }
  866. yearDataListMap := make(map[int]*models.EdbDataItems, 0)
  867. for _, lv := range result.List {
  868. yearDataListMap[lv.Year] = lv
  869. }
  870. //判断哪些点应该落在同一条时间线上
  871. /*maxY := lastDateT.Year()
  872. changeFlag := false
  873. if lastDateT.Month() >= 11 {
  874. maxY = maxY + 1
  875. }
  876. if maxY < nowYear {
  877. changeFlag = true
  878. maxY = nowYear
  879. }*/
  880. /*endTmp := fmt.Sprintf("%d-%s", maxY, xEndDate)
  881. endTmpT, _ := time.Parse(utils.FormatDate, endTmp)
  882. minY := maxY
  883. if jumpYear == 1 {
  884. minY = maxY - 1
  885. }
  886. startTmp := fmt.Sprintf("%d-%s", minY, xStartDate)
  887. startTmpT, _ := time.Parse(utils.FormatDate, startTmp)*/
  888. fmt.Println("横轴截取日" + startTmpT.Format(utils.FormatDate) + " " + endTmpT.Format(utils.FormatDate))
  889. fmt.Printf("lastDateT.Year() 为%d \n", lastDateT.Year())
  890. fmt.Printf("maxY 为%d \n", maxY)
  891. for name, dateItem := range dataMap {
  892. tY := dateItem.EndDate.Year()
  893. if lastDateT.Month() >= 11 {
  894. if maxY > endTmpT.Year() {
  895. tY = tY + 1
  896. }
  897. }
  898. lv, ok1 := yearDataListMap[tY]
  899. fmt.Printf("name %s yearDataListMap[%d]\n", name, tY)
  900. if !ok1 {
  901. continue
  902. }
  903. for _, item := range lv.Items {
  904. tmpVal := models.EdbDataList{
  905. EdbDataId: item.EdbDataId,
  906. EdbInfoId: item.EdbInfoId,
  907. DataTime: item.DataTime,
  908. DataTimestamp: item.DataTimestamp,
  909. Value: item.Value,
  910. }
  911. dataTimeT, _ := time.Parse(utils.FormatDate, item.DataTime)
  912. if (startTmpT.Before(dataTimeT) && endTmpT.After(dataTimeT)) || startTmpT == dataTimeT || endTmpT == dataTimeT {
  913. tmpV := &tmpVal
  914. if findVal, ok := quarterMap[name]; !ok {
  915. findVal = append(findVal, tmpV)
  916. quarterMap[name] = findVal
  917. } else {
  918. findVal = append(findVal, tmpV)
  919. quarterMap[name] = findVal
  920. }
  921. if lv.Year >= latestDateYear {
  922. // 切割的日期时间字符串
  923. cuttingDataTimeStr := latestDate.AddDate(0, 0, lv.BetweenDay).Format(utils.FormatDate)
  924. if item.DataTime == cuttingDataTimeStr {
  925. dateItem.CuttingDataTimestamp = tmpVal.DataTimestamp
  926. dataMap[name] = dateItem
  927. }
  928. }
  929. }
  930. }
  931. }
  932. for k, v := range dataMap {
  933. itemList := quarterMap[k]
  934. quarterItem := new(models.QuarterData)
  935. quarterItem.Years = v.ShowName
  936. quarterItem.Year = v.ChartLegend
  937. quarterItem.ChartLegend = v.ChartLegend
  938. if le, ok := legendMap[v.ShowName]; ok {
  939. if le != strconv.Itoa(v.StartDate.Year()) && le != strconv.Itoa(v.EndDate.Year()) {
  940. quarterItem.ChartLegend = le
  941. }
  942. }
  943. quarterItem.DataList = itemList
  944. quarterItem.CuttingDataTimestamp = v.CuttingDataTimestamp
  945. //如果等于最后的实际日期,那么将切割时间戳记录
  946. if quarterItem.CuttingDataTimestamp == 0 {
  947. //如果大于最后的实际日期,那么第一个点就是切割的时间戳
  948. if latestDate.Before(v.StartDate) && len(itemList) > 0 {
  949. quarterItem.CuttingDataTimestamp = itemList[0].DataTimestamp - 100
  950. }
  951. }
  952. quarterDataList = append(quarterDataList, quarterItem)
  953. }
  954. if result.List[0].Year != calendarPreYear {
  955. itemList := make([]*models.EdbDataList, 0)
  956. items := new(models.QuarterData)
  957. //items.Year = calendarPreYear
  958. items.DataList = itemList
  959. newResult := make([]*models.QuarterData, 0)
  960. newResult = append(newResult, items)
  961. newResult = append(newResult, quarterDataList...)
  962. resultData = newResult
  963. } else {
  964. resultData = quarterDataList
  965. }
  966. if len(quarterDataList) > 0 {
  967. quarterDataListSort = resultData
  968. sort.Sort(quarterDataListSort)
  969. }
  970. return
  971. }
  972. // BarChartData 柱方图的数据处理
  973. func BarChartData(mappingList []*models.ChartEdbInfoMapping, edbDataListMap map[int][]*models.EdbDataList, barChartInfoDateList []data_manage.BarChartInfoDateReq, barChartInfoSort data_manage.BarChartInfoSortReq) (edbIdList []int, yDataList []models.YData, err error) {
  974. // 指标数据数组(10086:{"2022-12-02":100.01,"2022-12-01":102.3})
  975. edbDataMap := make(map[int]map[string]float64)
  976. for edbInfoId, edbDataList := range edbDataListMap {
  977. edbDateData := make(map[string]float64)
  978. for _, edbData := range edbDataList {
  979. edbDateData[edbData.DataTime] = edbData.Value
  980. }
  981. edbDataMap[edbInfoId] = edbDateData
  982. }
  983. // edbIdList 指标展示顺序;x轴的指标顺序
  984. edbIdList = make([]int, 0)
  985. //Sort int `description:"排序类型,0:默认,1:升序,2:降序"`
  986. dateData := make(map[int]float64)
  987. if barChartInfoSort.Sort == 0 {
  988. for _, v := range mappingList {
  989. edbIdList = append(edbIdList, v.EdbInfoId)
  990. }
  991. } else {
  992. lenBarChartInfoDateList := len(barChartInfoDateList)
  993. if barChartInfoSort.DateIndex >= lenBarChartInfoDateList {
  994. err = errors.New("排序日期异常")
  995. return
  996. }
  997. notDataEdbIdList := make([]int, 0) //没有数据的指标id
  998. // 日期配置
  999. barChartInfoDate := barChartInfoDateList[barChartInfoSort.DateIndex]
  1000. for edbInfoId, dataList := range edbDataListMap {
  1001. if len(dataList) <= 0 {
  1002. // 没有数据的指标id
  1003. notDataEdbIdList = append(notDataEdbIdList, edbInfoId)
  1004. continue
  1005. }
  1006. findDate := barChartInfoDate.Date
  1007. switch barChartInfoDate.Type {
  1008. case 1: //最新值
  1009. findDate = dataList[len(dataList)-1].DataTime
  1010. case 2: //近期几天
  1011. findDateTime, tmpErr := time.ParseInLocation(utils.FormatDate, dataList[len(dataList)-1].DataTime, time.Local)
  1012. if tmpErr != nil {
  1013. err = tmpErr
  1014. return
  1015. }
  1016. findDateTime = findDateTime.AddDate(0, 0, -barChartInfoDate.Value)
  1017. lenData := len(dataList) - 1
  1018. for i := lenData; i >= 0; i-- {
  1019. currDateTime, tmpErr := time.ParseInLocation(utils.FormatDate, dataList[i].DataTime, time.Local)
  1020. if tmpErr != nil {
  1021. err = tmpErr
  1022. return
  1023. }
  1024. if currDateTime.Equal(findDateTime) || currDateTime.Before(findDateTime) {
  1025. findDate = dataList[i].DataTime
  1026. break
  1027. }
  1028. }
  1029. case 3: // 固定日期
  1030. //最早的日期
  1031. minDateTime, tmpErr := time.ParseInLocation(utils.FormatDate, dataList[0].DataTime, time.Local)
  1032. if tmpErr != nil {
  1033. err = tmpErr
  1034. return
  1035. }
  1036. //寻找固定日期的数据
  1037. findDateTime, tmpErr := time.ParseInLocation(utils.FormatDate, barChartInfoDate.Date, time.Local)
  1038. if tmpErr != nil {
  1039. err = tmpErr
  1040. return
  1041. }
  1042. for tmpDateTime := findDateTime; tmpDateTime.After(minDateTime) || tmpDateTime.Equal(minDateTime); tmpDateTime = tmpDateTime.AddDate(0, 0, -1) {
  1043. tmpDate := tmpDateTime.Format(utils.FormatDate)
  1044. if _, ok := edbDataMap[edbInfoId][tmpDate]; ok { //如果能找到数据,那么就返回
  1045. findDate = tmpDate
  1046. break
  1047. }
  1048. }
  1049. default:
  1050. err = errors.New(fmt.Sprint("日期类型异常,Type:", barChartInfoDate.Type))
  1051. return
  1052. }
  1053. if tmpValue, ok := edbDataMap[edbInfoId][findDate]; ok {
  1054. dateData[edbInfoId] = tmpValue
  1055. } else {
  1056. // 没有数据的指标id
  1057. notDataEdbIdList = append(notDataEdbIdList, edbInfoId)
  1058. }
  1059. }
  1060. //Sort int `description:"排序类型,0:默认,1:升序,2:降序"`
  1061. // 排序
  1062. dateDataSort := utils.NewMapSorter(dateData)
  1063. sort.Sort(dateDataSort)
  1064. if barChartInfoSort.Sort == 1 {
  1065. // 先将没有数据的指标id放在最前面
  1066. if len(notDataEdbIdList) > 0 {
  1067. edbIdList = append(edbIdList, notDataEdbIdList...)
  1068. }
  1069. for _, v := range dateDataSort {
  1070. edbIdList = append(edbIdList, v.Key)
  1071. }
  1072. } else {
  1073. for i := len(dateDataSort) - 1; i >= 0; i-- {
  1074. edbIdList = append(edbIdList, dateDataSort[i].Key)
  1075. }
  1076. // 再将没有数据的指标id放在最后面
  1077. if len(notDataEdbIdList) > 0 {
  1078. edbIdList = append(edbIdList, notDataEdbIdList...)
  1079. }
  1080. }
  1081. }
  1082. yDataList = make([]models.YData, 0) //y轴的数据列表
  1083. for _, barChartInfoDate := range barChartInfoDateList {
  1084. var maxDate time.Time
  1085. findDataList := make([]float64, 0) // 当前日期的数据值
  1086. for _, edbInfoId := range edbIdList {
  1087. findDate := barChartInfoDate.Date //需要的日期值
  1088. dataList := edbDataListMap[edbInfoId] //指标的所有数据值
  1089. if len(dataList) <= 0 {
  1090. // 没有数据的指标id
  1091. findDataList = append(findDataList, 0)
  1092. continue
  1093. }
  1094. switch barChartInfoDate.Type {
  1095. case 1: //最新值
  1096. dataList := edbDataListMap[edbInfoId]
  1097. findDate = dataList[len(dataList)-1].DataTime
  1098. case 2: //近期几天
  1099. findDateTime, tmpErr := time.ParseInLocation(utils.FormatDate, dataList[len(dataList)-1].DataTime, time.Local)
  1100. if tmpErr != nil {
  1101. err = tmpErr
  1102. return
  1103. }
  1104. findDateTime = findDateTime.AddDate(0, 0, -barChartInfoDate.Value)
  1105. lenData := len(dataList) - 1
  1106. for i := lenData; i >= 0; i-- {
  1107. currDateTime, tmpErr := time.ParseInLocation(utils.FormatDate, dataList[i].DataTime, time.Local)
  1108. if tmpErr != nil {
  1109. err = tmpErr
  1110. return
  1111. }
  1112. if currDateTime.Equal(findDateTime) || currDateTime.Before(findDateTime) {
  1113. findDate = dataList[i].DataTime
  1114. break
  1115. }
  1116. }
  1117. case 3: // 固定日期
  1118. //最早的日期
  1119. minDateTime, tmpErr := time.ParseInLocation(utils.FormatDate, dataList[0].DataTime, time.Local)
  1120. if tmpErr != nil {
  1121. err = tmpErr
  1122. return
  1123. }
  1124. //寻找固定日期的数据
  1125. findDateTime, tmpErr := time.ParseInLocation(utils.FormatDate, barChartInfoDate.Date, time.Local)
  1126. if tmpErr != nil {
  1127. err = tmpErr
  1128. return
  1129. }
  1130. for tmpDateTime := findDateTime; tmpDateTime.After(minDateTime) || tmpDateTime.Equal(minDateTime); tmpDateTime = tmpDateTime.AddDate(0, 0, -1) {
  1131. tmpDate := tmpDateTime.Format(utils.FormatDate)
  1132. if _, ok := edbDataMap[edbInfoId][tmpDate]; ok { //如果能找到数据,那么就返回
  1133. findDate = tmpDate
  1134. break
  1135. }
  1136. }
  1137. default:
  1138. err = errors.New(fmt.Sprint("日期类型异常,Type:", barChartInfoDate.Type))
  1139. return
  1140. }
  1141. findDateTime, _ := time.ParseInLocation(utils.FormatDate, findDate, time.Local)
  1142. if maxDate.IsZero() {
  1143. maxDate = findDateTime
  1144. } else {
  1145. if findDateTime.After(maxDate) {
  1146. maxDate = findDateTime
  1147. }
  1148. }
  1149. if tmpValue, ok := edbDataMap[edbInfoId][findDate]; ok {
  1150. findDataList = append(findDataList, tmpValue)
  1151. } else {
  1152. findDataList = append(findDataList, 0)
  1153. }
  1154. }
  1155. yDate := "0000-00-00"
  1156. if !maxDate.IsZero() {
  1157. yDate = maxDate.Format(utils.FormatDate)
  1158. }
  1159. yDataList = append(yDataList, models.YData{
  1160. Date: yDate,
  1161. Value: findDataList,
  1162. Color: barChartInfoDate.Color,
  1163. Name: barChartInfoDate.Name,
  1164. })
  1165. }
  1166. return
  1167. }
  1168. // ChartInfoRefreshV2 图表刷新
  1169. // @author Roc
  1170. // @datetime 2022-09-16 10:15:38
  1171. // @description 将原来自己写的一套获取所有关联指标,然后刷新指标逻辑 改成 只获取使用的指标id,然后遍历去调用“指标刷新服务”
  1172. func ChartInfoRefreshV2(chartInfoId int) (err error) {
  1173. var errmsg string
  1174. defer func() {
  1175. if err != nil {
  1176. go alarm_msg.SendAlarmMsg("ChartInfoRefresh:"+errmsg, 3)
  1177. //go utils.SendEmail(utils.APPNAME+"【"+utils.RunMode+"】"+"失败提醒", "ChartInfoRefresh:"+errmsg, utils.EmailSendToUsers)
  1178. fmt.Println("ChartInfoRefresh Err:" + errmsg)
  1179. }
  1180. }()
  1181. edbMappingList, err := data_manage.GetChartEdbMappingList(chartInfoId)
  1182. if err != nil {
  1183. errmsg = "获取需要刷新的指标失败:Err:" + err.Error()
  1184. return
  1185. }
  1186. edbIdList := make([]int, 0)
  1187. for _, v := range edbMappingList {
  1188. edbIdList = append(edbIdList, v.EdbInfoId)
  1189. }
  1190. // 批量刷新
  1191. err, errmsg = EdbInfoRefreshAllFromBase(edbIdList, false)
  1192. if err != nil {
  1193. return
  1194. }
  1195. return
  1196. }
  1197. // GetSectionScatterChartData 柱方图的数据处理
  1198. func GetSectionScatterChartData(mappingList []*models.ChartEdbInfoMapping, edbDataListMap map[int][]*models.EdbDataList, extraConfig data_manage.SectionScatterReq) (edbIdList []int, chartDataResp data_manage.SectionScatterInfoResp, err error) {
  1199. // 指标数据数组(10086:{"2022-12-02":100.01,"2022-12-01":102.3})
  1200. edbDataMap := make(map[int]map[string]float64)
  1201. for edbInfoId, edbDataList := range edbDataListMap {
  1202. edbDateData := make(map[string]float64)
  1203. for _, edbData := range edbDataList {
  1204. edbDateData[edbData.DataTime] = edbData.Value
  1205. }
  1206. edbDataMap[edbInfoId] = edbDateData
  1207. }
  1208. // edbIdList 指标展示顺序;x轴的指标顺序
  1209. edbIdList = make([]int, 0)
  1210. edbMappingMap := make(map[int]*models.ChartEdbInfoMapping)
  1211. for _, v := range mappingList {
  1212. edbIdList = append(edbIdList, v.EdbInfoId)
  1213. edbMappingMap[v.EdbInfoId] = v
  1214. }
  1215. //SectionScatterSeriesInfoResp
  1216. dataListResp := make([]data_manage.SectionScatterSeriesItemResp, 0) //y轴的数据列表
  1217. for _, seriesItem := range extraConfig.SeriesList {
  1218. var maxDate time.Time
  1219. // 系列中的指标数据
  1220. tmpSeriesEdbInfoList := make([]data_manage.SectionScatterEdbItemResp, 0)
  1221. var minXVal, maxXVal, minYVal, maxYVal float64
  1222. for _, edbConf := range seriesItem.EdbInfoList {
  1223. tmpItem := data_manage.SectionScatterEdbItemResp{
  1224. IsShow: edbConf.IsShow,
  1225. Name: edbConf.Name,
  1226. NameEn: edbConf.NameEn,
  1227. } //单个坐标点的数据
  1228. //X轴的数据
  1229. {
  1230. edbInfoId := edbConf.XEdbInfoId //X轴的指标
  1231. edbMappingInfo, ok := edbMappingMap[edbInfoId]
  1232. if !ok {
  1233. continue
  1234. }
  1235. findDate := edbConf.XDate //需要的日期值
  1236. dataList := edbDataListMap[edbInfoId] //指标的所有数据值
  1237. if len(dataList) <= 0 {
  1238. // 没有数据的指标id
  1239. //findDataList = append(findDataList, 0)
  1240. continue
  1241. }
  1242. tmpItem.XEdbInfoId = edbInfoId
  1243. tmpItem.XName = edbMappingInfo.EdbName
  1244. tmpItem.XNameEn = edbMappingInfo.EdbNameEn
  1245. switch edbConf.XDateType {
  1246. case 1: //最新值
  1247. dataList := edbDataListMap[edbInfoId]
  1248. findDate = dataList[len(dataList)-1].DataTime
  1249. case 2: //近期几天
  1250. findDateTime, tmpErr := time.ParseInLocation(utils.FormatDate, dataList[len(dataList)-1].DataTime, time.Local)
  1251. if tmpErr != nil {
  1252. err = tmpErr
  1253. return
  1254. }
  1255. findDateTime = findDateTime.AddDate(0, 0, -edbConf.XDateValue)
  1256. lenData := len(dataList) - 1
  1257. for i := lenData; i >= 0; i-- {
  1258. currDateTime, tmpErr := time.ParseInLocation(utils.FormatDate, dataList[i].DataTime, time.Local)
  1259. if tmpErr != nil {
  1260. err = tmpErr
  1261. return
  1262. }
  1263. if currDateTime.Equal(findDateTime) || currDateTime.Before(findDateTime) {
  1264. findDate = dataList[i].DataTime
  1265. break
  1266. }
  1267. }
  1268. case 3: // 固定日期
  1269. //最早的日期
  1270. minDateTime, tmpErr := time.ParseInLocation(utils.FormatDate, dataList[0].DataTime, time.Local)
  1271. if tmpErr != nil {
  1272. err = tmpErr
  1273. return
  1274. }
  1275. //寻找固定日期的数据
  1276. findDateTime, tmpErr := time.ParseInLocation(utils.FormatDate, edbConf.XDate, time.Local)
  1277. if tmpErr != nil {
  1278. err = tmpErr
  1279. return
  1280. }
  1281. for tmpDateTime := findDateTime; tmpDateTime.After(minDateTime) || tmpDateTime.Equal(minDateTime); tmpDateTime = tmpDateTime.AddDate(0, 0, -1) {
  1282. tmpDate := tmpDateTime.Format(utils.FormatDate)
  1283. if _, ok := edbDataMap[edbInfoId][tmpDate]; ok { //如果能找到数据,那么就返回
  1284. findDate = tmpDate
  1285. break
  1286. }
  1287. }
  1288. default:
  1289. err = errors.New(fmt.Sprint("日期类型异常,Type:", edbConf.XDate))
  1290. return
  1291. }
  1292. findDateTime, _ := time.ParseInLocation(utils.FormatDate, findDate, time.Local)
  1293. if maxDate.IsZero() {
  1294. maxDate = findDateTime
  1295. } else {
  1296. if findDateTime.After(maxDate) {
  1297. maxDate = findDateTime
  1298. }
  1299. }
  1300. if tmpValue, ok := edbDataMap[edbInfoId][findDate]; ok {
  1301. tmpItem.XDate = findDate
  1302. tmpItem.XValue = tmpValue
  1303. } else {
  1304. continue
  1305. }
  1306. }
  1307. //Y轴的数据
  1308. {
  1309. edbInfoId := edbConf.YEdbInfoId //Y轴的指标
  1310. edbMappingInfo, ok := edbMappingMap[edbInfoId]
  1311. if !ok {
  1312. continue
  1313. }
  1314. findDate := edbConf.YDate //需要的日期值
  1315. dataList := edbDataListMap[edbInfoId] //指标的所有数据值
  1316. if len(dataList) <= 0 {
  1317. // 没有数据的指标id
  1318. //findDataList = append(findDataList, 0)
  1319. continue
  1320. }
  1321. tmpItem.YEdbInfoId = edbInfoId
  1322. tmpItem.YName = edbMappingInfo.EdbName
  1323. tmpItem.YNameEn = edbMappingInfo.EdbNameEn
  1324. switch edbConf.YDateType {
  1325. case 1: //最新值
  1326. dataList := edbDataListMap[edbInfoId]
  1327. findDate = dataList[len(dataList)-1].DataTime
  1328. case 2: //近期几天
  1329. findDateTime, tmpErr := time.ParseInLocation(utils.FormatDate, dataList[len(dataList)-1].DataTime, time.Local)
  1330. if tmpErr != nil {
  1331. err = tmpErr
  1332. return
  1333. }
  1334. findDateTime = findDateTime.AddDate(0, 0, -edbConf.YDateValue)
  1335. lenData := len(dataList) - 1
  1336. for i := lenData; i >= 0; i-- {
  1337. currDateTime, tmpErr := time.ParseInLocation(utils.FormatDate, dataList[i].DataTime, time.Local)
  1338. if tmpErr != nil {
  1339. err = tmpErr
  1340. return
  1341. }
  1342. if currDateTime.Equal(findDateTime) || currDateTime.Before(findDateTime) {
  1343. findDate = dataList[i].DataTime
  1344. break
  1345. }
  1346. }
  1347. case 3: // 固定日期
  1348. //最早的日期
  1349. minDateTime, tmpErr := time.ParseInLocation(utils.FormatDate, dataList[0].DataTime, time.Local)
  1350. if tmpErr != nil {
  1351. err = tmpErr
  1352. return
  1353. }
  1354. //寻找固定日期的数据
  1355. findDateTime, tmpErr := time.ParseInLocation(utils.FormatDate, edbConf.YDate, time.Local)
  1356. if tmpErr != nil {
  1357. err = tmpErr
  1358. return
  1359. }
  1360. for tmpDateTime := findDateTime; tmpDateTime.After(minDateTime) || tmpDateTime.Equal(minDateTime); tmpDateTime = tmpDateTime.AddDate(0, 0, -1) {
  1361. tmpDate := tmpDateTime.Format(utils.FormatDate)
  1362. if _, ok := edbDataMap[edbInfoId][tmpDate]; ok { //如果能找到数据,那么就返回
  1363. findDate = tmpDate
  1364. break
  1365. }
  1366. }
  1367. default:
  1368. err = errors.New(fmt.Sprint("日期类型异常,Type:", edbConf.YDate))
  1369. return
  1370. }
  1371. findDateTime, _ := time.ParseInLocation(utils.FormatDate, findDate, time.Local)
  1372. if maxDate.IsZero() {
  1373. maxDate = findDateTime
  1374. } else {
  1375. if findDateTime.After(maxDate) {
  1376. maxDate = findDateTime
  1377. }
  1378. }
  1379. if tmpValue, ok := edbDataMap[edbInfoId][findDate]; ok {
  1380. tmpItem.YDate = findDate
  1381. tmpItem.YValue = tmpValue
  1382. } else {
  1383. continue
  1384. }
  1385. }
  1386. // 获取当前系列的X轴的最大最小值
  1387. {
  1388. if tmpItem.XValue < minXVal {
  1389. minXVal = tmpItem.XValue
  1390. }
  1391. if tmpItem.XValue > maxXVal {
  1392. maxXVal = tmpItem.XValue
  1393. }
  1394. if tmpItem.YValue < minYVal {
  1395. minYVal = tmpItem.YValue
  1396. }
  1397. if tmpItem.YValue > maxYVal {
  1398. maxYVal = tmpItem.YValue
  1399. }
  1400. }
  1401. tmpSeriesEdbInfoList = append(tmpSeriesEdbInfoList, tmpItem)
  1402. }
  1403. trendLimitData := make([]data_manage.CoordinatePoint, 0) //趋势线的前后坐标点
  1404. var trendLine, rSquare string
  1405. // 生成线性方程式
  1406. var a, b float64
  1407. {
  1408. coordinateData := make([]utils.Coordinate, 0)
  1409. for _, tmpSeriesEdbInfo := range tmpSeriesEdbInfoList {
  1410. tmpCoordinate1 := utils.Coordinate{
  1411. X: tmpSeriesEdbInfo.XValue,
  1412. Y: tmpSeriesEdbInfo.YValue,
  1413. }
  1414. coordinateData = append(coordinateData, tmpCoordinate1)
  1415. }
  1416. // 只有存在两个坐标点的时候,才能去计算线性方程和R平方
  1417. if len(coordinateData) >= 2 {
  1418. a, b = utils.GetLinearResult(coordinateData)
  1419. if !math.IsNaN(a) || !math.IsNaN(b) {
  1420. if b > 0 {
  1421. trendLine = fmt.Sprintf("y=%sx+%s", utils.SubFloatToString(a, 4), utils.SubFloatToString(b, 4))
  1422. } else {
  1423. trendLine = fmt.Sprintf("y=%sx%s", utils.SubFloatToString(a, 4), utils.SubFloatToString(b, 4))
  1424. }
  1425. minYVal, _ = decimal.NewFromFloat(a).Mul(decimal.NewFromFloat(minXVal)).Add(decimal.NewFromFloat(b)).Round(4).Float64()
  1426. maxYVal, _ = decimal.NewFromFloat(a).Mul(decimal.NewFromFloat(maxXVal)).Add(decimal.NewFromFloat(b)).Round(4).Float64()
  1427. }
  1428. // 计算R平方
  1429. rSquare = fmt.Sprint(utils.CalculationDecisive(coordinateData))
  1430. }
  1431. trendLimitData = append(trendLimitData, data_manage.CoordinatePoint{
  1432. X: minXVal,
  1433. Y: minYVal,
  1434. }, data_manage.CoordinatePoint{
  1435. X: maxXVal,
  1436. Y: maxYVal,
  1437. })
  1438. }
  1439. dataListResp = append(dataListResp, data_manage.SectionScatterSeriesItemResp{
  1440. Name: seriesItem.Name,
  1441. NameEn: seriesItem.NameEn,
  1442. Color: seriesItem.Color,
  1443. EdbInfoList: tmpSeriesEdbInfoList,
  1444. ShowTrendLine: seriesItem.ShowTrendLine,
  1445. ShowFitEquation: seriesItem.ShowFitEquation,
  1446. ShowRSquare: seriesItem.ShowRSquare,
  1447. TrendLine: trendLine,
  1448. RSquare: rSquare,
  1449. TrendLimitData: trendLimitData,
  1450. })
  1451. }
  1452. chartDataResp = data_manage.SectionScatterInfoResp{
  1453. XName: extraConfig.XName,
  1454. XNameEn: extraConfig.XNameEn,
  1455. XUnitName: extraConfig.XUnitName,
  1456. XUnitNameEn: extraConfig.XUnitNameEn,
  1457. YName: extraConfig.YName,
  1458. YNameEn: extraConfig.YNameEn,
  1459. YUnitName: extraConfig.YUnitName,
  1460. YUnitNameEn: extraConfig.YUnitNameEn,
  1461. XMinValue: extraConfig.XMinValue,
  1462. XMaxValue: extraConfig.XMaxValue,
  1463. YMinValue: extraConfig.YMinValue,
  1464. YMaxValue: extraConfig.YMaxValue,
  1465. DataList: dataListResp,
  1466. }
  1467. return
  1468. }
  1469. // RadarChartData 雷达图的数据处理
  1470. func RadarChartData(mappingList []*models.ChartEdbInfoMapping, edbDataListMap map[int][]*models.EdbDataList, extraConfig data_manage.RadarChartInfoReq) (edbIdList []int, chartDataResp data_manage.RadarChartInfoResp, err error) {
  1471. // 指标数据数组(10086:{"2022-12-02":100.01,"2022-12-01":102.3})
  1472. edbDataMap := make(map[int]map[string]float64)
  1473. for edbInfoId, edbDataList := range edbDataListMap {
  1474. edbDateData := make(map[string]float64)
  1475. for _, edbData := range edbDataList {
  1476. edbDateData[edbData.DataTime] = edbData.Value
  1477. }
  1478. edbDataMap[edbInfoId] = edbDateData
  1479. }
  1480. // edbIdList 指标展示顺序;x轴的指标顺序
  1481. edbIdList = make([]int, 0)
  1482. for _, v := range mappingList {
  1483. edbIdList = append(edbIdList, v.EdbInfoId)
  1484. }
  1485. chartDateList := extraConfig.DateList
  1486. yDataList := make([]data_manage.RadarYData, 0) //y轴的数据列表
  1487. for _, chartDate := range chartDateList {
  1488. var maxDate time.Time
  1489. findDataList := make([]float64, 0) // 当前日期的数据值
  1490. for _, edbInfoId := range edbIdList {
  1491. findDate := chartDate.Date //需要的日期值
  1492. dataList := edbDataListMap[edbInfoId] //指标的所有数据值
  1493. if len(dataList) <= 0 {
  1494. // 没有数据的指标id
  1495. findDataList = append(findDataList, 0)
  1496. continue
  1497. }
  1498. switch chartDate.Type {
  1499. case 1: //最新值
  1500. findDate = dataList[len(dataList)-1].DataTime
  1501. case 2: //近期几天
  1502. findDateTime, tmpErr := time.ParseInLocation(utils.FormatDate, dataList[len(dataList)-1].DataTime, time.Local)
  1503. if tmpErr != nil {
  1504. err = tmpErr
  1505. return
  1506. }
  1507. findDateTime = findDateTime.AddDate(0, 0, -chartDate.Value)
  1508. lenData := len(dataList) - 1
  1509. for i := lenData; i >= 0; i-- {
  1510. currDateTime, e := time.ParseInLocation(utils.FormatDate, dataList[i].DataTime, time.Local)
  1511. if e != nil {
  1512. err = e
  1513. return
  1514. }
  1515. if currDateTime.Equal(findDateTime) || currDateTime.Before(findDateTime) {
  1516. findDate = dataList[i].DataTime
  1517. break
  1518. }
  1519. }
  1520. case 3: // 固定日期
  1521. //最早的日期
  1522. minDateTime, tmpErr := time.ParseInLocation(utils.FormatDate, dataList[0].DataTime, time.Local)
  1523. if tmpErr != nil {
  1524. err = tmpErr
  1525. return
  1526. }
  1527. //寻找固定日期的数据
  1528. findDateTime, tmpErr := time.ParseInLocation(utils.FormatDate, chartDate.Date, time.Local)
  1529. if tmpErr != nil {
  1530. err = tmpErr
  1531. return
  1532. }
  1533. for tmpDateTime := findDateTime; tmpDateTime.After(minDateTime) || tmpDateTime.Equal(minDateTime); tmpDateTime = tmpDateTime.AddDate(0, 0, -1) {
  1534. tmpDate := tmpDateTime.Format(utils.FormatDate)
  1535. if _, ok := edbDataMap[edbInfoId][tmpDate]; ok { //如果能找到数据,那么就返回
  1536. findDate = tmpDate
  1537. break
  1538. }
  1539. }
  1540. default:
  1541. err = errors.New(fmt.Sprint("日期类型异常,Type:", chartDate.Type))
  1542. return
  1543. }
  1544. findDateTime, _ := time.ParseInLocation(utils.FormatDate, findDate, time.Local)
  1545. if maxDate.IsZero() {
  1546. maxDate = findDateTime
  1547. } else {
  1548. if findDateTime.After(maxDate) {
  1549. maxDate = findDateTime
  1550. }
  1551. }
  1552. if tmpValue, ok := edbDataMap[edbInfoId][findDate]; ok {
  1553. tmpValue, _ = decimal.NewFromFloat(tmpValue).Round(4).Float64()
  1554. findDataList = append(findDataList, tmpValue)
  1555. } else {
  1556. findDataList = append(findDataList, 0)
  1557. }
  1558. }
  1559. yDate := "0000-00-00"
  1560. if !maxDate.IsZero() {
  1561. yDate = maxDate.Format(utils.FormatDate)
  1562. }
  1563. yDataList = append(yDataList, data_manage.RadarYData{
  1564. Date: yDate,
  1565. Value: findDataList,
  1566. Color: chartDate.Color,
  1567. Name: chartDate.Name,
  1568. })
  1569. }
  1570. chartDataResp = data_manage.RadarChartInfoResp{
  1571. YDataList: yDataList,
  1572. XEdbIdValue: edbIdList,
  1573. }
  1574. return
  1575. }
  1576. // GetChartEdbDataV2 获取图表的指标数据
  1577. func GetChartEdbDataV2(chartInfoId, chartType int, calendar, startDate, endDate string, mappingList []*models.ChartEdbInfoMapping, extraConfigStr, seasonExtraConfig string, chartInfoData ChartInfoDataShow) (edbList []*models.ChartEdbInfoMapping, xEdbIdValue []int, yDataList []models.YData, dataResp interface{}, err error, errMsg string) {
  1578. edbList = make([]*models.ChartEdbInfoMapping, 0)
  1579. xEdbIdValue = make([]int, 0)
  1580. yDataList = make([]models.YData, 0)
  1581. var extraConfig interface{}
  1582. switch chartType {
  1583. case 6:
  1584. var tmpConfig models.ChartTimeCombineExtraConf
  1585. if extraConfigStr != `` {
  1586. err = json.Unmarshal([]byte(extraConfigStr), &tmpConfig)
  1587. if err != nil {
  1588. errMsg = "雷达图配置异常"
  1589. err = errors.New(errMsg)
  1590. return
  1591. }
  1592. }
  1593. extraConfig = tmpConfig
  1594. case 7: // 柱形图
  1595. var barConfig data_manage.BarChartInfoReq
  1596. if extraConfigStr == `` {
  1597. errMsg = "柱方图未配置"
  1598. err = errors.New(errMsg)
  1599. return
  1600. }
  1601. err = json.Unmarshal([]byte(extraConfigStr), &barConfig)
  1602. if err != nil {
  1603. errMsg = "柱方图配置异常"
  1604. err = errors.New(errMsg)
  1605. return
  1606. }
  1607. extraConfig = barConfig
  1608. case 10: // 截面散点图
  1609. var tmpExtraConfig data_manage.SectionScatterReq
  1610. if extraConfigStr == `` {
  1611. errMsg = "截面散点图未配置"
  1612. err = errors.New(errMsg)
  1613. return
  1614. }
  1615. err = json.Unmarshal([]byte(extraConfigStr), &tmpExtraConfig)
  1616. if err != nil {
  1617. errMsg = "截面散点配置异常"
  1618. err = errors.New(errMsg)
  1619. return
  1620. }
  1621. extraConfig = tmpExtraConfig
  1622. case utils.CHART_TYPE_RADAR:
  1623. var barConfig data_manage.RadarChartInfoReq
  1624. if extraConfigStr == `` {
  1625. errMsg = "雷达图未配置"
  1626. err = errors.New(errMsg)
  1627. return
  1628. }
  1629. err = json.Unmarshal([]byte(extraConfigStr), &barConfig)
  1630. if err != nil {
  1631. errMsg = "雷达图配置异常"
  1632. err = errors.New(errMsg)
  1633. return
  1634. }
  1635. extraConfig = barConfig
  1636. case utils.CHART_TYPE_SECTION_COMBINE:
  1637. // 预览和详情都走这个接口
  1638. var sectionExtraConfig models.ChartSectionAllExtraConf
  1639. if extraConfigStr == `` {
  1640. errMsg = "截面组合图未配置"
  1641. err = errors.New(errMsg)
  1642. return
  1643. }
  1644. if chartInfoId > 0 {
  1645. var sectionExtraConfigTmp models.ChartSectionExtraConf
  1646. err = json.Unmarshal([]byte(extraConfigStr), &sectionExtraConfigTmp)
  1647. if err != nil {
  1648. errMsg = "截面组合图配置异常"
  1649. err = errors.New(errMsg)
  1650. return
  1651. }
  1652. sectionExtraConfig.XDataList = sectionExtraConfigTmp.XDataList
  1653. sectionExtraConfig.BaseChartSeriesName = sectionExtraConfigTmp.BaseChartSeriesName
  1654. sectionExtraConfig.UnitList = sectionExtraConfigTmp.UnitList
  1655. sectionExtraConfig.DateConfList = sectionExtraConfigTmp.DateConfList
  1656. sectionExtraConfig.IsHeap = sectionExtraConfigTmp.IsHeap
  1657. sectionExtraConfig.SortType = sectionExtraConfigTmp.SortType
  1658. // 查询所有的seriesEdb
  1659. seriesEdbList, e := models.GetChartSeriesEdbByChartInfoId(chartInfoId)
  1660. if e != nil {
  1661. errMsg = "查询seriesEdb失败"
  1662. err = errors.New(errMsg + e.Error())
  1663. return
  1664. }
  1665. // todo 是否有必要返回单位信息
  1666. // 组装成map
  1667. seriesEdbMap := make(map[int][]*models.ChartSectionSeriesEdbConf)
  1668. for _, v := range seriesEdbList {
  1669. var dateConf *models.ChartSectionSeriesDateConfItem
  1670. if v.DateConf != "" {
  1671. err = json.Unmarshal([]byte(v.DateConf), &dateConf)
  1672. if err != nil {
  1673. errMsg = "截面组合图配置异常"
  1674. err = errors.New(errMsg + err.Error())
  1675. return
  1676. }
  1677. }
  1678. tmp := &models.ChartSectionSeriesEdbConf{
  1679. ChartSeriesEdbMappingId: v.ChartSeriesEdbMappingId,
  1680. ChartSeriesId: v.ChartSeriesId,
  1681. //ChartInfoId: v.ChartInfoId,
  1682. EdbInfoId: v.EdbInfoId,
  1683. DateConf: dateConf,
  1684. EdbName: "",
  1685. EdbNameEn: "",
  1686. Unit: "",
  1687. UnitEn: "",
  1688. DateConfName: v.DateConfName,
  1689. DateConfType: v.DateConfType,
  1690. }
  1691. seriesEdbMap[v.ChartSeriesId] = append(seriesEdbMap[v.ChartSeriesId], tmp)
  1692. }
  1693. //查询series
  1694. seriesListTmp, e := models.GetChartSeriesByChartInfoId(chartInfoId)
  1695. if e != nil {
  1696. errMsg = "查询series失败"
  1697. err = errors.New(errMsg + e.Error())
  1698. return
  1699. }
  1700. seriesList := make([]*models.ChartSectionSeriesItem, 0)
  1701. for _, v := range seriesListTmp {
  1702. tmpSeries := &models.ChartSectionSeriesItem{
  1703. ChartSeriesId: v.ChartSeriesId,
  1704. SeriesName: v.SeriesName,
  1705. SeriesNameEn: v.SeriesNameEn,
  1706. ChartStyle: v.ChartStyle,
  1707. ChartColor: v.ChartColor,
  1708. ChartWidth: v.ChartWidth,
  1709. IsPoint: v.IsPoint,
  1710. IsNumber: v.IsNumber,
  1711. IsAxis: v.IsAxis,
  1712. MaxData: v.MaxData,
  1713. MinData: v.MinData,
  1714. //IsOrder: false,
  1715. EdbInfoList: nil,
  1716. DataList: nil,
  1717. }
  1718. edbInfoList, ok := seriesEdbMap[v.ChartSeriesId]
  1719. if ok {
  1720. tmpSeries.EdbInfoList = edbInfoList
  1721. }
  1722. seriesList = append(seriesList, tmpSeries)
  1723. }
  1724. sectionExtraConfig.SeriesList = seriesList
  1725. } else {
  1726. err = json.Unmarshal([]byte(extraConfigStr), &sectionExtraConfig)
  1727. if err != nil {
  1728. errMsg = "截面组合图配置异常"
  1729. err = errors.New(errMsg)
  1730. return
  1731. }
  1732. }
  1733. //校验引用日期名称是否重复
  1734. dateNameMap := make(map[string]int)
  1735. dateNameEnMap := make(map[string]int)
  1736. for _, v := range sectionExtraConfig.DateConfList {
  1737. if _, ok := dateNameMap[v.DateConfName]; ok {
  1738. errMsg = "截面组合图引用日期名称设置重复"
  1739. err = errors.New(errMsg + v.DateConfName)
  1740. return
  1741. }
  1742. if _, ok := dateNameEnMap[v.DateConfNameEn]; ok {
  1743. errMsg = "截面组合图引用日期名称设置重复"
  1744. err = errors.New(errMsg + v.DateConfNameEn)
  1745. return
  1746. }
  1747. if v.DateConfName != "" {
  1748. dateNameMap[v.DateConfName] = 1
  1749. }
  1750. if v.DateConfNameEn != "" {
  1751. dateNameEnMap[v.DateConfNameEn] = 1
  1752. }
  1753. }
  1754. //检查系列名称是否重复
  1755. seriesNameMap := make(map[string]int)
  1756. seriesNameEnMap := make(map[string]int)
  1757. for _, v := range sectionExtraConfig.SeriesList {
  1758. if _, ok := seriesNameMap[v.SeriesName]; ok {
  1759. errMsg = "截面组合图系列名称设置重复"
  1760. err = errors.New(errMsg + v.SeriesName)
  1761. return
  1762. }
  1763. if _, ok := seriesNameEnMap[v.SeriesNameEn]; ok {
  1764. errMsg = "截面组合图系列名称设置重复"
  1765. err = errors.New(errMsg + v.SeriesNameEn)
  1766. return
  1767. }
  1768. if v.SeriesName != "" {
  1769. seriesNameMap[v.SeriesName] = 1
  1770. }
  1771. if v.SeriesNameEn != "" {
  1772. seriesNameEnMap[v.SeriesNameEn] = 1
  1773. }
  1774. }
  1775. // 检查基准系列是否设置
  1776. if sectionExtraConfig.BaseChartSeriesName == "" {
  1777. errMsg = "截面组合图基准系列名称未设置"
  1778. err = errors.New(errMsg)
  1779. return
  1780. }
  1781. //todo 如果是详情接口,应该要从其他表里查询配置
  1782. extraConfig = sectionExtraConfig
  1783. default:
  1784. xEdbIdValue = make([]int, 0)
  1785. yDataList = make([]models.YData, 0)
  1786. }
  1787. // 指标对应的所有数据
  1788. edbDataListMap, edbList, err := chartInfoData.GetEdbDataMapList(chartInfoId, chartType, calendar, startDate, endDate, mappingList, seasonExtraConfig)
  1789. if err != nil {
  1790. return
  1791. }
  1792. // 特殊图形数据处理
  1793. switch chartType {
  1794. case 6: //时序组合图
  1795. //判断是否堆积
  1796. timeConf := extraConfig.(models.ChartTimeCombineExtraConf)
  1797. if extraConfigStr == "" { //历史数据,默认开启堆积
  1798. timeConf = models.ChartTimeCombineExtraConf{
  1799. IsHeap: 1,
  1800. }
  1801. }
  1802. dataResp = models.ChartTimeCombineDataResp{IsHeap: timeConf.IsHeap}
  1803. case 7: // 柱形图
  1804. barChartConf := extraConfig.(data_manage.BarChartInfoReq)
  1805. xEdbIdValue, yDataList, err = BarChartData(mappingList, edbDataListMap, barChartConf.DateList, barChartConf.Sort)
  1806. for _, v := range edbList {
  1807. // 指标别名
  1808. if barChartConf.EdbInfoIdList != nil && len(barChartConf.EdbInfoIdList) > 0 {
  1809. for _, reqEdb := range barChartConf.EdbInfoIdList {
  1810. if v.EdbInfoId == reqEdb.EdbInfoId {
  1811. v.EdbAliasName = reqEdb.Name
  1812. }
  1813. }
  1814. }
  1815. }
  1816. case 10: // 截面散点图
  1817. sectionScatterConf := extraConfig.(data_manage.SectionScatterReq)
  1818. xEdbIdValue, dataResp, err = GetSectionScatterChartData(mappingList, edbDataListMap, sectionScatterConf)
  1819. case utils.CHART_TYPE_SECTION_COMBINE: // 截面组合图
  1820. sectionConf := extraConfig.(models.ChartSectionAllExtraConf)
  1821. var chartInfo *models.ChartInfo
  1822. if chartInfoId > 0 {
  1823. chartInfo, err = models.GetChartInfoById(chartInfoId)
  1824. if err != nil {
  1825. errMsg = "获取图表信息失败"
  1826. return
  1827. }
  1828. }
  1829. xEdbIdValue, dataResp, err = GetChartSectionCombineData(chartInfo, mappingList, edbDataListMap, sectionConf)
  1830. // 这个数据没有必要返回给前端
  1831. for _, v := range edbList {
  1832. v.DataList = nil
  1833. }
  1834. case utils.CHART_TYPE_RADAR: //雷达图
  1835. radarConf := extraConfig.(data_manage.RadarChartInfoReq)
  1836. xEdbIdValue, dataResp, err = RadarChartData(mappingList, edbDataListMap, radarConf)
  1837. }
  1838. return
  1839. }
  1840. // SeasonChartData 季节性图的数据处理
  1841. func SeasonChartData(dataList []*models.ChartEdbInfoMapping, seasonExtraConfig string) (dataResp models.SeasonChartResp, err error) {
  1842. var seasonConfig models.SeasonExtraItem
  1843. err = json.Unmarshal([]byte(seasonExtraConfig), &seasonConfig)
  1844. if err != nil {
  1845. err = errors.New("季节性图配置异常, Err:" + err.Error())
  1846. return
  1847. }
  1848. for _, mappingItem := range dataList {
  1849. if mappingItem.IsAxis == 0 {
  1850. continue
  1851. }
  1852. quarterDataList, ok := mappingItem.DataList.(models.QuarterDataList)
  1853. if !ok {
  1854. continue
  1855. }
  1856. // 上下限区间
  1857. if seasonConfig.MaxMinLimits.Year > 0 {
  1858. startYear := time.Now().AddDate(-seasonConfig.MaxMinLimits.Year, 0, 0).Year()
  1859. dataResp.MaxMinLimits.List = make([]*models.MaxMinLimitsData, 0)
  1860. dataTimeMap := make(map[time.Time]time.Time)
  1861. dataTimeList := make([]string, 0)
  1862. maxValueMap := make(map[time.Time]float64)
  1863. minValueMap := make(map[time.Time]float64)
  1864. maxMinDataList := make([]*models.MaxMinLimitsData, 0)
  1865. var startDateStr string
  1866. var endDateStr string
  1867. var newDate time.Time
  1868. startDateStr = fmt.Sprintf("%d-%s", time.Now().Year(), seasonConfig.XStartDate)
  1869. endDateStr = fmt.Sprintf("%d-%s", time.Now().Year(), seasonConfig.XEndDate)
  1870. startDate, e := time.Parse(utils.FormatDate, startDateStr)
  1871. if e != nil {
  1872. err = e
  1873. return
  1874. }
  1875. endDate, e := time.Parse(utils.FormatDate, endDateStr)
  1876. if e != nil {
  1877. err = e
  1878. return
  1879. }
  1880. // 日度 周度插值
  1881. for _, v := range quarterDataList {
  1882. if mappingItem.Frequency == "日度" || mappingItem.Frequency == "周度" {
  1883. handleDataMap := make(map[string]float64)
  1884. dataTimeList, _, err = HandleDataByLinearRegressionToList(v.DataList, handleDataMap)
  1885. if err != nil {
  1886. err = errors.New("插值处理数据异常, Err:" + err.Error())
  1887. return
  1888. }
  1889. // 不包含当年
  1890. if v.ChartLegend == strconv.Itoa(time.Now().Year()) {
  1891. continue
  1892. }
  1893. // 农历时dataTimeList的年份为最新年份,图例时间的年份才是真实年份
  1894. chartLegend,_ := strconv.Atoi(v.ChartLegend)
  1895. if chartLegend < startYear {
  1896. continue
  1897. }
  1898. for _, date := range dataTimeList {
  1899. dateTime, e := time.Parse(utils.FormatDate, date)
  1900. if e != nil {
  1901. err = errors.New("时间格式化异常, Err:" + e.Error())
  1902. return
  1903. }
  1904. if dateTime.Year() < startYear {
  1905. continue
  1906. }
  1907. // 不包含2月29号
  1908. if dateTime.Month() == 2 && dateTime.Day() == 29 {
  1909. continue
  1910. }
  1911. newDate = dateTime.AddDate(time.Now().Year()-dateTime.Year(), 0, 0)
  1912. if seasonConfig.JumpYear == 1 {
  1913. if startDate.After(endDate) {
  1914. // 如果跨年且不到一年
  1915. // 全年截取一部分
  1916. if newDate.Before(startDate.AddDate(0, 0, 1)) && newDate.After(endDate) {
  1917. continue
  1918. }
  1919. if newDate.After(startDate.AddDate(0, 0, -1)) {
  1920. // 减一年
  1921. newDate = dateTime.AddDate(time.Now().Year()-dateTime.Year()-1, 0, 0)
  1922. }
  1923. // 处理上下限列表
  1924. if value, ok := maxValueMap[newDate]; ok {
  1925. if value < handleDataMap[date] {
  1926. maxValueMap[newDate] = handleDataMap[date]
  1927. }
  1928. } else {
  1929. maxValueMap[newDate] = handleDataMap[date]
  1930. }
  1931. if value, ok := minValueMap[newDate]; ok {
  1932. if value > handleDataMap[date] {
  1933. minValueMap[newDate] = handleDataMap[date]
  1934. }
  1935. } else {
  1936. minValueMap[newDate] = handleDataMap[date]
  1937. }
  1938. dataTimeMap[newDate] = newDate
  1939. } else {
  1940. // 如果跨年且大于等于一年
  1941. // double后截取
  1942. if newDate.After(startDate) {
  1943. // 处理上下限列表
  1944. if value, ok := maxValueMap[newDate]; ok {
  1945. if value < handleDataMap[date] {
  1946. maxValueMap[newDate] = handleDataMap[date]
  1947. }
  1948. } else {
  1949. maxValueMap[newDate] = handleDataMap[date]
  1950. }
  1951. if value, ok := minValueMap[newDate]; ok {
  1952. if value > handleDataMap[date] {
  1953. minValueMap[newDate] = handleDataMap[date]
  1954. }
  1955. } else {
  1956. minValueMap[newDate] = handleDataMap[date]
  1957. }
  1958. dataTimeMap[newDate] = newDate
  1959. }
  1960. newDate = dateTime.AddDate(time.Now().Year()-dateTime.Year()+1, 0, 0)
  1961. newEndDate := endDate.AddDate(1, 0, 0)
  1962. if newDate.Before(newEndDate) {
  1963. // 处理上下限列表
  1964. if value, ok := maxValueMap[newDate]; ok {
  1965. if value < handleDataMap[date] {
  1966. maxValueMap[newDate] = handleDataMap[date]
  1967. }
  1968. } else {
  1969. maxValueMap[newDate] = handleDataMap[date]
  1970. }
  1971. if value, ok := minValueMap[newDate]; ok {
  1972. if value > handleDataMap[date] {
  1973. minValueMap[newDate] = handleDataMap[date]
  1974. }
  1975. } else {
  1976. minValueMap[newDate] = handleDataMap[date]
  1977. }
  1978. dataTimeMap[newDate] = newDate
  1979. }
  1980. }
  1981. } else {
  1982. // 如果不跨年 正常获取
  1983. // 获取当前日期所在区间
  1984. // 处理上下限列表
  1985. if value, ok := maxValueMap[newDate]; ok {
  1986. if value < handleDataMap[date] {
  1987. maxValueMap[newDate] = handleDataMap[date]
  1988. }
  1989. } else {
  1990. maxValueMap[newDate] = handleDataMap[date]
  1991. }
  1992. if value, ok := minValueMap[newDate]; ok {
  1993. if value > handleDataMap[date] {
  1994. minValueMap[newDate] = handleDataMap[date]
  1995. }
  1996. } else {
  1997. minValueMap[newDate] = handleDataMap[date]
  1998. }
  1999. dataTimeMap[newDate] = newDate
  2000. }
  2001. }
  2002. } else {
  2003. // 旬度、月度、季度、半年度 不插值,需要先把日期列表和数据map取出来
  2004. for _, vv := range v.DataList {
  2005. dateTime, e := time.Parse(utils.FormatDate, vv.DataTime)
  2006. if e != nil {
  2007. err = errors.New("时间格式化异常, Err:" + e.Error())
  2008. return
  2009. }
  2010. // 不包含当年
  2011. if v.ChartLegend == strconv.Itoa(time.Now().Year()) {
  2012. continue
  2013. }
  2014. if dateTime.Year() < startYear {
  2015. continue
  2016. }
  2017. // 农历时dataTimeList的年份为最新年份,图例时间的年份才是真实年份
  2018. chartLegend,_ := strconv.Atoi(v.ChartLegend)
  2019. if chartLegend < startYear {
  2020. continue
  2021. }
  2022. // 月度的2月29号日期改为2月28日
  2023. if dateTime.Month() == 2 && dateTime.Day() == 29 {
  2024. dateTime = dateTime.AddDate(0, 0, -1)
  2025. }
  2026. newDate = dateTime.AddDate(time.Now().Year()-dateTime.Year(), 0, 0)
  2027. if seasonConfig.JumpYear == 1 {
  2028. if startDate.After(endDate) {
  2029. // 如果跨年且不到一年
  2030. // 全年截取一部分
  2031. if newDate.Before(startDate.AddDate(0, 0, 1)) && newDate.After(endDate) {
  2032. continue
  2033. }
  2034. if newDate.After(startDate.AddDate(0, 0, -1)) {
  2035. // 减一年
  2036. newDate = dateTime.AddDate(time.Now().Year()-dateTime.Year()-1, 0, 0)
  2037. }
  2038. // 处理上下限列表
  2039. if value, ok := maxValueMap[newDate]; ok {
  2040. if value < vv.Value {
  2041. maxValueMap[newDate] = vv.Value
  2042. }
  2043. } else {
  2044. maxValueMap[newDate] = vv.Value
  2045. }
  2046. if value, ok := minValueMap[newDate]; ok {
  2047. if value > vv.Value {
  2048. minValueMap[newDate] = vv.Value
  2049. }
  2050. } else {
  2051. minValueMap[newDate] = vv.Value
  2052. }
  2053. dataTimeMap[newDate] = newDate
  2054. } else {
  2055. // 如果跨年且大于等于一年
  2056. // double后截取
  2057. if newDate.After(startDate) {
  2058. // 处理上下限列表
  2059. if value, ok := maxValueMap[newDate]; ok {
  2060. if value < vv.Value {
  2061. maxValueMap[newDate] = vv.Value
  2062. }
  2063. } else {
  2064. maxValueMap[newDate] = vv.Value
  2065. }
  2066. if value, ok := minValueMap[newDate]; ok {
  2067. if value > vv.Value {
  2068. minValueMap[newDate] = vv.Value
  2069. }
  2070. } else {
  2071. minValueMap[newDate] = vv.Value
  2072. }
  2073. dataTimeMap[newDate] = newDate
  2074. }
  2075. newDate = dateTime.AddDate(time.Now().Year()-dateTime.Year()+1, 0, 0)
  2076. newEndDate := endDate.AddDate(1, 0, 0)
  2077. if newDate.Before(newEndDate) {
  2078. // 处理上下限列表
  2079. if value, ok := maxValueMap[newDate]; ok {
  2080. if value < vv.Value {
  2081. maxValueMap[newDate] = vv.Value
  2082. }
  2083. } else {
  2084. maxValueMap[newDate] = vv.Value
  2085. }
  2086. if value, ok := minValueMap[newDate]; ok {
  2087. if value > vv.Value {
  2088. minValueMap[newDate] = vv.Value
  2089. }
  2090. } else {
  2091. minValueMap[newDate] = vv.Value
  2092. }
  2093. dataTimeMap[newDate] = newDate
  2094. }
  2095. }
  2096. } else {
  2097. // 如果不跨年 正常获取
  2098. // 获取当前日期所在区间
  2099. // 处理上下限列表
  2100. if value, ok := maxValueMap[newDate]; ok {
  2101. if value < vv.Value {
  2102. maxValueMap[newDate] = vv.Value
  2103. }
  2104. } else {
  2105. maxValueMap[newDate] = vv.Value
  2106. }
  2107. if value, ok := minValueMap[newDate]; ok {
  2108. if value > vv.Value {
  2109. minValueMap[newDate] = vv.Value
  2110. }
  2111. } else {
  2112. minValueMap[newDate] = vv.Value
  2113. }
  2114. dataTimeMap[newDate] = newDate
  2115. }
  2116. }
  2117. }
  2118. }
  2119. for _, v := range dataTimeMap {
  2120. maxMinItem := &models.MaxMinLimitsData{}
  2121. if maxValue, ok := maxValueMap[v]; ok {
  2122. maxMinItem.MaxValue = maxValue
  2123. } else {
  2124. maxMinItem.MaxValue = minValueMap[v]
  2125. }
  2126. if minValue, ok := minValueMap[v]; ok {
  2127. maxMinItem.MinValue = minValue
  2128. } else {
  2129. maxMinItem.MinValue = maxValueMap[v]
  2130. }
  2131. maxMinItem.DataTime = v.Format(utils.FormatDate)
  2132. maxMinItem.DataTimestamp = v.UnixNano() / 1e6
  2133. maxMinDataList = append(maxMinDataList, maxMinItem)
  2134. }
  2135. // 排序
  2136. sort.Slice(maxMinDataList, func(i, j int) bool {
  2137. return maxMinDataList[i].DataTime < maxMinDataList[j].DataTime
  2138. })
  2139. dataResp.MaxMinLimits.List = maxMinDataList
  2140. dataResp.MaxMinLimits.Color = seasonConfig.MaxMinLimits.Color
  2141. dataResp.MaxMinLimits.Legend = seasonConfig.MaxMinLimits.Legend
  2142. dataResp.MaxMinLimits.IsShow = seasonConfig.MaxMinLimits.IsShow
  2143. dataResp.MaxMinLimits.IsAdd = seasonConfig.MaxMinLimits.IsAdd
  2144. dataResp.MaxMinLimits.Year = seasonConfig.MaxMinLimits.Year
  2145. }
  2146. // 自定义同期均线
  2147. if seasonConfig.SamePeriodAverage.Year > 0 {
  2148. handleDataMap := make(map[string]float64)
  2149. dataTimeMap := make(map[time.Time]time.Time)
  2150. dataTimeList := make([]string, 0)
  2151. valueMap := make(map[time.Time]float64)
  2152. averageDataList := make([]*models.SamePeriodAverageData, 0)
  2153. dateNumMap := make(map[time.Time]float64)
  2154. for i := len(quarterDataList) - 1; i >= 0; i-- {
  2155. // 插值成日度
  2156. dataTimeList, _, err = HandleDataByLinearRegressionToList(quarterDataList[i].DataList, handleDataMap)
  2157. if err != nil {
  2158. err = errors.New("插值处理数据异常, Err:" + err.Error())
  2159. return
  2160. }
  2161. for _, date := range dataTimeList {
  2162. dateTime, e := time.Parse(utils.FormatDate, date)
  2163. if e != nil {
  2164. err = errors.New("时间格式化异常, Err:" + e.Error())
  2165. return
  2166. }
  2167. startYear := time.Now().AddDate(-seasonConfig.SamePeriodAverage.Year, 0, 0).Year()
  2168. if dateTime.Year() < startYear {
  2169. continue
  2170. }
  2171. // 农历时dataTimeList的年份为最新年份,图例时间的年份才是真实年份
  2172. chartLegend,_ := strconv.Atoi(quarterDataList[i].ChartLegend)
  2173. if chartLegend < startYear {
  2174. continue
  2175. }
  2176. // 不包含2月29号
  2177. if dateTime.Month() == 2 && dateTime.Day() == 29 {
  2178. continue
  2179. }
  2180. // 不包含当年
  2181. if quarterDataList[i].ChartLegend == strconv.Itoa(time.Now().Year()) {
  2182. continue
  2183. }
  2184. newDate := dateTime.AddDate(time.Now().Year()-dateTime.Year(), 0, 0)
  2185. // 处理均值
  2186. if value, ok := valueMap[newDate]; ok {
  2187. valueMap[newDate] = handleDataMap[date] + value
  2188. } else {
  2189. valueMap[newDate] = handleDataMap[date]
  2190. }
  2191. dateNumMap[newDate] += 1
  2192. dataTimeMap[newDate] = newDate
  2193. }
  2194. }
  2195. //year := float64(seasonConfig.SamePeriodAverage.Year)
  2196. for _, v := range dataTimeMap {
  2197. averageItem := &models.SamePeriodAverageData{}
  2198. year := dateNumMap[v]
  2199. if value, ok := valueMap[v]; ok {
  2200. if year > 0 {
  2201. averageItem.Value = value / year
  2202. } else {
  2203. averageItem.Value = value
  2204. }
  2205. }
  2206. averageItem.DataTime = v.Format(utils.FormatDate)
  2207. averageItem.DataTimestamp = v.UnixNano() / 1e6
  2208. averageDataList = append(averageDataList, averageItem)
  2209. }
  2210. // 排序
  2211. sort.Slice(averageDataList, func(i, j int) bool {
  2212. return averageDataList[i].DataTime < averageDataList[j].DataTime
  2213. })
  2214. dataResp.SamePeriodAverage.List = averageDataList
  2215. dataResp.SamePeriodAverage.Year = seasonConfig.SamePeriodAverage.Year
  2216. dataResp.SamePeriodAverage.Color = seasonConfig.SamePeriodAverage.Color
  2217. dataResp.SamePeriodAverage.Legend = seasonConfig.SamePeriodAverage.Legend
  2218. dataResp.SamePeriodAverage.IsShow = seasonConfig.SamePeriodAverage.IsShow
  2219. dataResp.SamePeriodAverage.LineType = seasonConfig.SamePeriodAverage.LineType
  2220. dataResp.SamePeriodAverage.LineWidth = seasonConfig.SamePeriodAverage.LineWidth
  2221. dataResp.SamePeriodAverage.IsAdd = seasonConfig.SamePeriodAverage.IsAdd
  2222. }
  2223. // 自定义同期标准差
  2224. if seasonConfig.SamePeriodStandardDeviation.Year > 1 && seasonConfig.SamePeriodStandardDeviation.Multiple > 0 {
  2225. startYear := time.Now().AddDate(-seasonConfig.SamePeriodStandardDeviation.Year, 0, 0).Year()
  2226. // 先算均值,再算标准差
  2227. handleDataMap := make(map[string]float64)
  2228. dataTimeMap := make(map[time.Time]time.Time)
  2229. dataTimeValueMap := make(map[time.Time][]float64)
  2230. dataTimeList := make([]string, 0)
  2231. valueMap := make(map[time.Time]float64)
  2232. samePeriodStandardDeviationList := make([]*models.MaxMinLimitsData, 0)
  2233. for i := len(quarterDataList) - 1; i > len(quarterDataList)-seasonConfig.SamePeriodAverage.Year-1 && i > 0; i-- {
  2234. // 插值成日度
  2235. dataTimeList, _, err = HandleDataByLinearRegressionToListV2(quarterDataList[i].DataList, handleDataMap)
  2236. if err != nil {
  2237. err = errors.New("插值处理数据异常, Err:" + err.Error())
  2238. return
  2239. }
  2240. for _, date := range dataTimeList {
  2241. dateTime, e := time.Parse(utils.FormatDate, date)
  2242. if e != nil {
  2243. err = errors.New("时间格式化异常, Err:" + e.Error())
  2244. return
  2245. }
  2246. if dateTime.Year() < startYear {
  2247. continue
  2248. }
  2249. // 农历时dataTimeList的年份为最新年份,图例时间的年份才是真实年份
  2250. chartLegend,_ := strconv.Atoi(quarterDataList[i].ChartLegend)
  2251. if chartLegend < startYear {
  2252. continue
  2253. }
  2254. // 不包含2月29号
  2255. if dateTime.Month() == 2 && dateTime.Day() == 29 {
  2256. continue
  2257. }
  2258. newDate := dateTime.AddDate(time.Now().Year()-dateTime.Year(), 0, 0)
  2259. // 处理均值
  2260. if value, ok := valueMap[newDate]; ok {
  2261. valueMap[newDate] = (handleDataMap[date] + value) / 2
  2262. } else {
  2263. valueMap[newDate] = handleDataMap[date]
  2264. }
  2265. dataTimeMap[newDate] = newDate
  2266. valueList := dataTimeValueMap[newDate]
  2267. valueList = append(valueList, handleDataMap[date])
  2268. dataTimeValueMap[newDate] = valueList
  2269. }
  2270. }
  2271. for _, v := range dataTimeMap {
  2272. valueList := dataTimeValueMap[v]
  2273. stdev := utils.CalculateStandardDeviation(valueList)
  2274. stdev, _ = decimal.NewFromFloat(stdev).Round(4).Float64()
  2275. maxMinItem := &models.MaxMinLimitsData{}
  2276. if value, ok := valueMap[v]; ok {
  2277. maxMinItem.MaxValue = value + stdev*seasonConfig.SamePeriodStandardDeviation.Multiple
  2278. maxMinItem.MinValue = value - stdev*seasonConfig.SamePeriodStandardDeviation.Multiple
  2279. }
  2280. maxMinItem.DataTime = v.Format(utils.FormatDate)
  2281. maxMinItem.DataTimestamp = v.UnixNano() / 1e6
  2282. samePeriodStandardDeviationList = append(samePeriodStandardDeviationList, maxMinItem)
  2283. }
  2284. // 排序
  2285. sort.Slice(samePeriodStandardDeviationList, func(i, j int) bool {
  2286. return samePeriodStandardDeviationList[i].DataTime < samePeriodStandardDeviationList[j].DataTime
  2287. })
  2288. dataResp.SamePeriodStandardDeviation.List = samePeriodStandardDeviationList
  2289. dataResp.SamePeriodStandardDeviation.Color = seasonConfig.SamePeriodStandardDeviation.Color
  2290. dataResp.SamePeriodStandardDeviation.Legend = seasonConfig.SamePeriodStandardDeviation.Legend
  2291. dataResp.SamePeriodStandardDeviation.IsShow = seasonConfig.SamePeriodStandardDeviation.IsShow
  2292. dataResp.SamePeriodStandardDeviation.Multiple = seasonConfig.SamePeriodStandardDeviation.Multiple
  2293. dataResp.SamePeriodStandardDeviation.Year = seasonConfig.SamePeriodStandardDeviation.Year
  2294. dataResp.SamePeriodStandardDeviation.IsAdd = seasonConfig.SamePeriodStandardDeviation.IsAdd
  2295. }
  2296. // 自定义右轴
  2297. if seasonConfig.RightAxis.IndicatorType != 0 {
  2298. if seasonConfig.RightAxis.IndicatorType == 1 {
  2299. startTime, _ := time.Parse(utils.FormatDate, mappingItem.StartDate)
  2300. for i := len(quarterDataList) - 1; i > len(quarterDataList)-2 && i > 0; i-- {
  2301. var rightMappingItem models.ChartEdbInfoMapping
  2302. rightMappingItem = *mappingItem
  2303. // 计算同比值
  2304. tbzDataList, minValue, maxValue, e := GetEdbDataTbzForSeason(mappingItem.Frequency, quarterDataList[i].DataList, startTime)
  2305. if e != nil {
  2306. err = errors.New("计算同比值失败, Err:" + e.Error())
  2307. return
  2308. }
  2309. rightMappingItem.DataList = tbzDataList
  2310. rightMappingItem.MaxData = maxValue
  2311. rightMappingItem.MinData = minValue
  2312. dataResp.RightAxis.EdbInfoList = append(dataResp.RightAxis.EdbInfoList, &rightMappingItem)
  2313. }
  2314. }
  2315. dataResp.RightAxis.SeasonRightAxis = seasonConfig.RightAxis
  2316. }
  2317. }
  2318. return
  2319. }
  2320. // getEdbDataMapListForSeason 获取指标最后的基础数据-插值补充好数据-季节性图用
  2321. func getEdbDataMapListForSeason(chartInfoId, chartType int, calendar, startDate, endDate string, mappingList []*models.ChartEdbInfoMapping, seasonExtraConfig string) (edbDataListMap map[int][]*models.EdbDataList, edbList []*models.ChartEdbInfoMapping, err error) {
  2322. // 指标对应的所有数据
  2323. edbDataListMap = make(map[int][]*models.EdbDataList)
  2324. for _, v := range mappingList {
  2325. //fmt.Println("v:", v.EdbInfoId)
  2326. item := new(models.ChartEdbInfoMapping)
  2327. item.EdbInfoId = v.EdbInfoId
  2328. item.SourceName = v.SourceName
  2329. item.Source = v.Source
  2330. item.EdbCode = v.EdbCode
  2331. item.EdbName = v.EdbName
  2332. item.EdbNameEn = v.EdbNameEn
  2333. item.Frequency = v.Frequency
  2334. item.EdbType = v.EdbType
  2335. item.FrequencyEn = GetFrequencyEn(v.Frequency)
  2336. if v.Unit != `无` {
  2337. item.Unit = v.Unit
  2338. }
  2339. item.UnitEn = v.UnitEn
  2340. item.StartDate = v.StartDate
  2341. item.EndDate = v.EndDate
  2342. item.ModifyTime = v.ModifyTime
  2343. item.EdbInfoCategoryType = v.EdbInfoCategoryType
  2344. item.PredictChartColor = v.PredictChartColor
  2345. item.ClassifyId = v.ClassifyId
  2346. if chartInfoId <= 0 {
  2347. item.IsAxis = 1
  2348. item.LeadValue = 0
  2349. item.LeadUnit = ""
  2350. item.ChartEdbMappingId = 0
  2351. item.ChartInfoId = 0
  2352. item.IsOrder = false
  2353. item.EdbInfoType = 1
  2354. item.ChartStyle = ""
  2355. item.ChartColor = ""
  2356. item.ChartWidth = 0
  2357. item.MaxData = v.MaxValue
  2358. item.MinData = v.MinValue
  2359. } else {
  2360. item.IsAxis = v.IsAxis
  2361. item.EdbInfoType = v.EdbInfoType
  2362. item.LeadValue = v.LeadValue
  2363. item.LeadUnit = v.LeadUnit
  2364. item.LeadUnitEn = GetLeadUnitEn(v.LeadUnit)
  2365. item.ChartEdbMappingId = v.ChartEdbMappingId
  2366. item.ChartInfoId = v.ChartInfoId
  2367. item.ChartStyle = v.ChartStyle
  2368. item.ChartColor = v.ChartColor
  2369. item.ChartWidth = v.ChartWidth
  2370. item.IsOrder = v.IsOrder
  2371. item.MaxData = v.MaxData
  2372. item.MinData = v.MinData
  2373. }
  2374. item.LatestValue = v.LatestValue
  2375. item.LatestDate = v.LatestDate
  2376. item.UniqueCode = v.UniqueCode
  2377. item.MoveLatestDate = v.LatestDate
  2378. item.EdbAliasName = v.EdbAliasName
  2379. item.IsConvert = v.IsConvert
  2380. item.ConvertType = v.ConvertType
  2381. item.ConvertValue = v.ConvertValue
  2382. item.ConvertUnit = v.ConvertUnit
  2383. item.ConvertEnUnit = v.ConvertEnUnit
  2384. item.IsJoinPermission = v.IsJoinPermission
  2385. var startDateReal string
  2386. var diffSeconds int64
  2387. if chartType == 2 { //季节性图
  2388. startDateReal = startDate
  2389. if len(mappingList) > 1 {
  2390. item.IsAxis = v.IsAxis
  2391. }
  2392. } else {
  2393. if v.EdbInfoType == 0 && v.LeadUnit != "" && v.LeadValue > 0 { //领先指标
  2394. var startTimeRealTemp time.Time
  2395. startDateParse, _ := time.Parse(utils.FormatDate, startDate)
  2396. switch v.LeadUnit {
  2397. case "天":
  2398. startTimeRealTemp = startDateParse.AddDate(0, 0, -v.LeadValue)
  2399. case "月":
  2400. startTimeRealTemp = startDateParse.AddDate(0, -v.LeadValue, 0)
  2401. case "季":
  2402. startTimeRealTemp = startDateParse.AddDate(0, -3*v.LeadValue, 0)
  2403. case "周":
  2404. startTimeRealTemp = startDateParse.AddDate(0, 0, -7*v.LeadValue)
  2405. case "年":
  2406. startTimeRealTemp = startDateParse.AddDate(-v.LeadValue, 0, 0)
  2407. }
  2408. if startTimeRealTemp.Before(startDateParse) {
  2409. startDateReal = startTimeRealTemp.Format(utils.FormatDate)
  2410. diffSeconds = (int64(startTimeRealTemp.UnixNano()) - int64(startDateParse.UnixNano())) / 1e6
  2411. } else {
  2412. startDateReal = startDate
  2413. diffSeconds = 0
  2414. }
  2415. // 预测指标的开始日期也要偏移
  2416. {
  2417. day, tmpErr := utils.GetDaysBetween2Date(utils.FormatDate, startDate, startDateReal)
  2418. if tmpErr != nil {
  2419. err = tmpErr
  2420. return
  2421. }
  2422. moveLatestDateTime, tmpErr := time.ParseInLocation(utils.FormatDate, item.MoveLatestDate, time.Local)
  2423. if tmpErr != nil {
  2424. err = tmpErr
  2425. return
  2426. }
  2427. item.MoveLatestDate = moveLatestDateTime.AddDate(0, 0, day).Format(utils.FormatDate)
  2428. }
  2429. } else {
  2430. startDateReal = startDate
  2431. }
  2432. }
  2433. //fmt.Println("line 1011 chart:", v.Source, v.EdbInfoId, startDateReal, endDate)
  2434. calendarPreYear := 0
  2435. if calendar == "农历" {
  2436. newStartDateReal, err := time.Parse(utils.FormatDate, startDateReal)
  2437. if err != nil {
  2438. fmt.Println("time.Parse:" + err.Error())
  2439. }
  2440. calendarPreYear = newStartDateReal.Year() - 1
  2441. newStartDateReal = newStartDateReal.AddDate(-1, 0, 0)
  2442. startDateReal = newStartDateReal.Format(utils.FormatDate)
  2443. }
  2444. dataList := make([]*models.EdbDataList, 0)
  2445. //fmt.Println("chart:", v.Source, v.EdbInfoId, startDateReal, endDate)
  2446. //fmt.Println("calendarPreYear:", calendarPreYear)
  2447. //var newEdbInfo *data_manage.EdbInfo
  2448. switch v.EdbInfoCategoryType {
  2449. case 0:
  2450. dataList, err = models.GetEdbDataList(v.Source, v.SubSource, v.EdbInfoId, startDateReal, endDate)
  2451. case 1:
  2452. _, dataList, _, _, err, _ = GetPredictDataListByPredictEdbInfoId(v.EdbInfoId, startDateReal, endDate, true)
  2453. default:
  2454. err = errors.New(fmt.Sprint("获取失败,指标类型异常", v.EdbInfoCategoryType))
  2455. }
  2456. if err != nil {
  2457. return
  2458. }
  2459. handleDataMap := make(map[string]float64)
  2460. newDataList, _, _, e := HandleDataByLinearRegressionToListV3(dataList, handleDataMap)
  2461. if e != nil {
  2462. err = e
  2463. return
  2464. }
  2465. if v.IsConvert == 1 {
  2466. switch v.ConvertType {
  2467. case 1:
  2468. for i, data := range newDataList {
  2469. newDataList[i].Value = data.Value * v.ConvertValue
  2470. }
  2471. //item.MaxData = item.MaxData * v.ConvertValue
  2472. //item.MinData = item.MinData * v.ConvertValue
  2473. case 2:
  2474. for i, data := range newDataList {
  2475. newDataList[i].Value = data.Value / v.ConvertValue
  2476. }
  2477. //item.MaxData = item.MaxData / v.ConvertValue
  2478. //item.MinData = item.MinData / v.ConvertValue
  2479. case 3:
  2480. for i, data := range newDataList {
  2481. if data.Value <= 0 {
  2482. err = errors.New("数据中含有负数或0,无法对数运算")
  2483. return
  2484. }
  2485. newDataList[i].Value = math.Log(data.Value) / math.Log(v.ConvertValue)
  2486. }
  2487. //item.MaxData = math.Log(item.MaxData) / math.Log(v.ConvertValue)
  2488. //item.MinData = math.Log(item.MinData) / math.Log(v.ConvertValue)
  2489. }
  2490. }
  2491. edbDataListMap[v.EdbInfoId] = newDataList
  2492. if diffSeconds != 0 && v.EdbInfoType == 0 {
  2493. newDataListLen := len(newDataList)
  2494. for i := 0; i < newDataListLen; i++ {
  2495. newDataList[i].DataTimestamp = newDataList[i].DataTimestamp - diffSeconds
  2496. }
  2497. }
  2498. if chartType == 2 && item.IsAxis == 1 {
  2499. latestDate, tmpErr := time.Parse(utils.FormatDate, v.LatestDate)
  2500. if tmpErr != nil {
  2501. //item.DataList = newDataList
  2502. item.IsNullData = true
  2503. edbList = append(edbList, item)
  2504. continue
  2505. err = errors.New(fmt.Sprint("获取最后实际数据的日期失败,Err:" + tmpErr.Error() + ";LatestDate:" + v.LatestDate))
  2506. return
  2507. }
  2508. if calendar == "农历" {
  2509. if len(newDataList) <= 0 {
  2510. result := new(models.EdbDataResult)
  2511. item.DataList = result
  2512. } else {
  2513. result, tmpErr := models.AddCalculateQuarterV6(newDataList)
  2514. if tmpErr != nil {
  2515. err = errors.New("获取农历数据失败,Err:" + tmpErr.Error())
  2516. return
  2517. }
  2518. quarterDataList, tErr := GetSeasonEdbInfoDataListByXDateNong(result, latestDate, seasonExtraConfig, calendarPreYear)
  2519. if tErr != nil {
  2520. err = errors.New("获取季节性图表数据失败,Err:" + tErr.Error())
  2521. return
  2522. }
  2523. item.DataList = quarterDataList
  2524. }
  2525. } else {
  2526. quarterDataList, tErr := GetSeasonEdbInfoDataListByXDate(newDataList, latestDate, seasonExtraConfig)
  2527. if tErr != nil {
  2528. err = errors.New("获取季节性图表数据失败,Err:" + tErr.Error())
  2529. return
  2530. }
  2531. item.DataList = quarterDataList
  2532. }
  2533. } else if chartType == 2 && item.IsAxis == 0 {
  2534. // 右轴数据处理
  2535. xStartDate := "01-01"
  2536. jumpYear := 0
  2537. var seasonExtra models.SeasonExtraItem
  2538. if seasonExtraConfig != "" {
  2539. err = json.Unmarshal([]byte(seasonExtraConfig), &seasonExtra)
  2540. if err != nil {
  2541. return
  2542. }
  2543. }
  2544. if seasonExtra.XStartDate != "" {
  2545. xStartDate = seasonExtra.XStartDate
  2546. jumpYear = seasonExtra.JumpYear
  2547. }
  2548. length := len(newDataList)
  2549. if length == 0 {
  2550. return
  2551. }
  2552. latestDate, tmpErr := time.Parse(utils.FormatDate, v.LatestDate)
  2553. if tmpErr != nil {
  2554. //item.DataList = newDataList
  2555. item.IsNullData = true
  2556. edbList = append(edbList, item)
  2557. continue
  2558. err = errors.New(fmt.Sprint("获取最后实际数据的日期失败,Err:" + tmpErr.Error() + ";LatestDate:" + v.LatestDate))
  2559. return
  2560. }
  2561. var rightAxisDate time.Time
  2562. if jumpYear == 1 {
  2563. latestDate = latestDate.AddDate(-1, 0, 0)
  2564. }
  2565. latestDateStr := fmt.Sprintf("%d-%s", latestDate.Year(), xStartDate)
  2566. rightAxisDate, err = time.Parse(utils.FormatDate, latestDateStr)
  2567. if err != nil {
  2568. return
  2569. }
  2570. newList := make([]*models.EdbDataList, 0)
  2571. for _, v := range newDataList {
  2572. dataTime, e := time.Parse(utils.FormatDate, v.DataTime)
  2573. if e != nil {
  2574. err = errors.New("季节性图处理右轴指标数据转换日期失败,Err:" + e.Error())
  2575. return
  2576. }
  2577. if dataTime.Equal(rightAxisDate) || dataTime.After(rightAxisDate) {
  2578. newList = append(newList, v)
  2579. }
  2580. }
  2581. item.DataList = newList
  2582. } else if chartType == 7 || chartType == utils.CHART_TYPE_RADAR { //柱方图
  2583. //item.DataList = newDataList
  2584. } else {
  2585. item.DataList = newDataList
  2586. }
  2587. edbList = append(edbList, item)
  2588. }
  2589. return
  2590. }