| | |
| | | import com.whyc.dto.Real.PwrHisRealAcInDto; |
| | | import com.whyc.dto.Real.PwrHisRealDcoutInDto; |
| | | import com.whyc.dto.Real.QuarterDto; |
| | | import com.whyc.dto.RealDataStatic.ResRealDataAc; |
| | | import com.whyc.dto.RealDataStatic.ResRealExportAc; |
| | | import com.whyc.dto.RealDataStatic.SticRealDataAc; |
| | | import com.whyc.dto.Response; |
| | | import com.whyc.dto.Statistic.QuarterPwr7Res; |
| | | import com.whyc.factory.ThreadPoolExecutorFactory; |
| | |
| | | import java.text.ParseException; |
| | | import java.time.LocalDateTime; |
| | | import java.time.format.DateTimeFormatter; |
| | | import java.time.temporal.TemporalAdjusters; |
| | | import java.util.*; |
| | | import java.util.concurrent.CountDownLatch; |
| | | import java.util.concurrent.ThreadPoolExecutor; |
| | |
| | | return PwrCapperformanceEnum.PWRSTATE_4.getStateId(); |
| | | } |
| | | } |
| | | |
| | | //电源历史实时查询 |
| | | public Response getPwrRealDataHis(Integer powerId, Integer granularity, String startTime, String endTime) throws InterruptedException, ParseException { |
| | | //获取两个时间分割多少张表 |
| | | List<List<Date>> monthTimeList = DateUtil.getMonthTime(ThreadLocalUtil.parse(startTime,1),ThreadLocalUtil.parse(endTime,1)); |
| | | List<PwrHisRealDcoutInDto> dataList = new LinkedList<>(); |
| | | ThreadPoolExecutor pool = ThreadPoolExecutorFactory.getPoolExecutor(); |
| | | CountDownLatch latch = new CountDownLatch(monthTimeList.size()); |
| | | for (int i = 0; i < monthTimeList.size(); i++) { |
| | | int finalI = i; |
| | | Integer finalGranularity = granularity; |
| | | pool.execute(() -> { |
| | | int finalII = finalI; |
| | | Date recordDatetime=monthTimeList.get(finalII).get(0); |
| | | Date recordDatetime1=monthTimeList.get(finalII).get(1); |
| | | String table = powerId + "_" + ThreadLocalUtil.format(recordDatetime,2); |
| | | String tableName="db_data_history.tb_pwrdev_historydata_"+table; |
| | | //判断表是否存在 |
| | | int tableNum = subTablePageInfoService.judgeTable_pwrhis(table); |
| | | List<PwrHisRealDcoutInDto> list = new ArrayList(); |
| | | if (tableNum > 0) { |
| | | //获取指定时间段内最大最小recordNum确保数据的完整 |
| | | List recordNums= subTablePageInfoService.getPwrMaxAndMinRecordNum(tableName,recordDatetime,recordDatetime1); |
| | | Integer maxRecordNum= 0; |
| | | Integer minRecordNum= 0; |
| | | if(recordNums.size()>0){ |
| | | maxRecordNum=(Integer)recordNums.get(0); |
| | | minRecordNum=(Integer)recordNums.get(1); |
| | | } |
| | | list=subTablePageInfoService.getPwrRealDataHis(tableName, finalGranularity,recordDatetime,recordDatetime1,maxRecordNum,minRecordNum); |
| | | } |
| | | dataList.addAll(list); |
| | | latch.countDown(); |
| | | }); |
| | | sleep(200); |
| | | } |
| | | latch.await(10, TimeUnit.MINUTES); |
| | | List dataListSorted = dataList.stream().sorted(Comparator.comparing(PwrHisRealDcoutInDto::getRecordDatetime)).collect(Collectors.toList()); |
| | | return new Response().setII(1,dataList.size()>0,dataListSorted,"获取半小时内直流输出统计"); |
| | | } |
| | | //实时数据数据曲线统计-交流单元 |
| | | public Response getSticRealAcData(SticRealDataAc stic) throws ParseException, InterruptedException { |
| | | Integer granularity=2;//默认值 |
| | | Map<String,Date> startAndEndTime=DateUtil.getStartAndEndTime(stic.getSticTime()); |
| | | //获取两个时间分割多少张表 |
| | | List<List<Date>> monthTimeList = DateUtil.getMonthTime(startAndEndTime.get("startTime"),startAndEndTime.get("endTime")); |
| | | List<ResRealDataAc> dataList = new LinkedList<>(); |
| | | Map<String, Map<String,List<String>>> allTimeMap=new HashMap<>(); |
| | | ThreadPoolExecutor pool = ThreadPoolExecutorFactory.getPoolExecutor(); |
| | | CountDownLatch latch = new CountDownLatch(monthTimeList.size()); |
| | | for (int i = 0; i < monthTimeList.size(); i++) { |
| | | int finalI = i; |
| | | Integer finalGranularity = granularity; |
| | | Map<String,List<String>> propertyInfo=stic.getPropertyInfo(); |
| | | pool.execute(() -> { |
| | | int finalII = finalI; |
| | | Date recordDatetime=monthTimeList.get(finalII).get(0); |
| | | Date recordDatetime1=monthTimeList.get(finalII).get(1); |
| | | String timeTable=ThreadLocalUtil.format(recordDatetime,2); |
| | | String table = stic.getPowerId() + "_" + timeTable; |
| | | String tableName="db_data_history.tb_pwrdev_historydata_"+table; |
| | | //判断表是否存在 |
| | | int tableNum = subTablePageInfoService.judgeTable_pwrhis(table); |
| | | List<ResRealDataAc> list = new ArrayList(); |
| | | Map<String,List<String>> timeMap=new HashMap<>(); |
| | | if (tableNum > 0) { |
| | | //获取指定时间段内最大最小recordNum确保数据的完整 |
| | | List recordNums= subTablePageInfoService.getPwrMaxAndMinRecordNum(tableName,recordDatetime,recordDatetime1); |
| | | Integer maxRecordNum= 0; |
| | | Integer minRecordNum= 0; |
| | | if(recordNums.size()>0){ |
| | | maxRecordNum=(Integer)recordNums.get(0); |
| | | minRecordNum=(Integer)recordNums.get(1); |
| | | } |
| | | //先按照频率查询出正常数据 |
| | | list=subTablePageInfoService.getSticRealAcData(tableName, finalGranularity,recordDatetime,recordDatetime1,maxRecordNum,minRecordNum,propertyInfo); |
| | | //所有属性的异动点 |
| | | List<Integer> allChangeNums=new ArrayList<>(); |
| | | //获取指定时间取出每个参数的异动次数和异动的recordNum |
| | | for (Map.Entry<String, List<String>> entry : propertyInfo.entrySet()) { |
| | | String param = entry.getKey(); |
| | | List<String> valueList = entry.getValue(); |
| | | for (String value : valueList) { |
| | | float upperLimit=550; |
| | | float lowerLimit=50; |
| | | //查询电源字段的异动 |
| | | List changes= subTablePageInfoService.getPwrChangesRecordNum(tableName,recordDatetime,recordDatetime1,value,upperLimit,lowerLimit); |
| | | List<Integer> numList= (List<Integer>) changes.get(0);//record_num的集合 |
| | | List<String> timeList= (List<String>) changes.get(1);//record_datetime的集合 |
| | | if(numList!=null&&numList.size()>0){ |
| | | allChangeNums.addAll(numList); |
| | | } |
| | | //存放每个参数的异动时间点 |
| | | timeMap.put(value,timeList); |
| | | } |
| | | } |
| | | //只有存在异动点采取查询异动数据 |
| | | if(allChangeNums.size()>0){ |
| | | //查询大类参数下所有异动recordNum的记录之和 |
| | | List<ResRealDataAc> paramList=subTablePageInfoService.getPwrPropertyChangesByRecordNum(tableName,recordDatetime,recordDatetime1,allChangeNums,propertyInfo); |
| | | list.addAll(paramList); |
| | | } |
| | | } |
| | | allTimeMap.put(timeTable,timeMap); |
| | | dataList.addAll(list); |
| | | latch.countDown(); |
| | | }); |
| | | sleep(200); |
| | | } |
| | | latch.await(10, TimeUnit.MINUTES); |
| | | List<ResRealDataAc> uniqueList = dataList.stream() |
| | | .distinct() |
| | | .collect(Collectors.toList()); |
| | | List dataListSorted = uniqueList.stream().sorted(Comparator.comparing(ResRealDataAc::getRecordNum)).collect(Collectors.toList()); |
| | | //所有异动点合并去重 |
| | | Map<String, List<String>> mergedMap =ActionUtil.getMergeMap(allTimeMap); |
| | | return new Response().setIII(1,dataList.size()>0,dataListSorted,mergedMap,"实时数据数据曲线统计-交流单元"); |
| | | } |
| | | //实时数据统计曲线-交流单元导出(2.5.2) |
| | | public List<ResRealDataAc> getSticRealAcDataForExport(ResRealExportAc exportAc) throws ParseException, InterruptedException { |
| | | Integer granularity=2;//默认值 |
| | | Map<String,Date> startAndEndTime=DateUtil.getStartAndEndTime(exportAc.getSticTime()); |
| | | //获取两个时间分割多少张表 |
| | | List<List<Date>> monthTimeList = DateUtil.getMonthTime(startAndEndTime.get("startTime"),startAndEndTime.get("endTime")); |
| | | List<ResRealDataAc> dataList = new LinkedList<>(); |
| | | ThreadPoolExecutor pool = ThreadPoolExecutorFactory.getPoolExecutor(); |
| | | CountDownLatch latch = new CountDownLatch(monthTimeList.size()); |
| | | for (int i = 0; i < monthTimeList.size(); i++) { |
| | | int finalI = i; |
| | | Integer finalGranularity = granularity; |
| | | Map<String,List<String>> propertyInfo=exportAc.getPropertyInfo(); |
| | | pool.execute(() -> { |
| | | int finalII = finalI; |
| | | Date recordDatetime=monthTimeList.get(finalII).get(0); |
| | | Date recordDatetime1=monthTimeList.get(finalII).get(1); |
| | | String timeTable=ThreadLocalUtil.format(recordDatetime,2); |
| | | String table = exportAc.getPowerId() + "_" + timeTable; |
| | | String tableName="db_data_history.tb_pwrdev_historydata_"+table; |
| | | //判断表是否存在 |
| | | int tableNum = subTablePageInfoService.judgeTable_pwrhis(table); |
| | | List<ResRealDataAc> list = new ArrayList(); |
| | | if (tableNum > 0) { |
| | | //获取指定时间段内最大最小recordNum确保数据的完整 |
| | | List recordNums= subTablePageInfoService.getPwrMaxAndMinRecordNum(tableName,recordDatetime,recordDatetime1); |
| | | Integer maxRecordNum= 0; |
| | | Integer minRecordNum= 0; |
| | | if(recordNums.size()>0){ |
| | | maxRecordNum=(Integer)recordNums.get(0); |
| | | minRecordNum=(Integer)recordNums.get(1); |
| | | } |
| | | //先按照频率查询出正常数据 |
| | | list=subTablePageInfoService.getSticRealAcData(tableName, finalGranularity,recordDatetime,recordDatetime1,maxRecordNum,minRecordNum,propertyInfo); |
| | | //所有属性的异动点 |
| | | List<Integer> allChangeNums=new ArrayList<>(); |
| | | //获取指定时间取出每个参数的异动次数和异动的recordNum |
| | | for (Map.Entry<String, List<String>> entry : propertyInfo.entrySet()) { |
| | | String param = entry.getKey(); |
| | | List<String> valueList = entry.getValue(); |
| | | for (String value : valueList) { |
| | | float upperLimit=550; |
| | | float lowerLimit=50; |
| | | //查询电源字段的异动 |
| | | List changes= subTablePageInfoService.getPwrChangesRecordNum(tableName,recordDatetime,recordDatetime1,value,upperLimit,lowerLimit); |
| | | List<Integer> numList= (List<Integer>) changes.get(0);//record_num的集合 |
| | | if(numList!=null&&numList.size()>0){ |
| | | allChangeNums.addAll(numList); |
| | | } |
| | | } |
| | | } |
| | | //只有存在异动点采取查询异动数据 |
| | | if(allChangeNums.size()>0){ |
| | | //查询大类参数下所有异动recordNum的记录之和 |
| | | List<ResRealDataAc> paramList=subTablePageInfoService.getPwrPropertyChangesByRecordNum(tableName,recordDatetime,recordDatetime1,allChangeNums,propertyInfo); |
| | | list.addAll(paramList); |
| | | } |
| | | } |
| | | dataList.addAll(list); |
| | | latch.countDown(); |
| | | }); |
| | | sleep(200); |
| | | } |
| | | latch.await(10, TimeUnit.MINUTES); |
| | | List<ResRealDataAc> uniqueList = dataList.stream() |
| | | .distinct() |
| | | .collect(Collectors.toList()); |
| | | List dataListSorted = uniqueList.stream().sorted(Comparator.comparing(ResRealDataAc::getRecordNum)).collect(Collectors.toList()); |
| | | return dataListSorted; |
| | | } |
| | | } |