diff --git a/algorithm/algorithm-boot/pom.xml b/algorithm/algorithm-boot/pom.xml index 7f23a29..657e8dc 100644 --- a/algorithm/algorithm-boot/pom.xml +++ b/algorithm/algorithm-boot/pom.xml @@ -99,6 +99,11 @@ liteflow-rule-nacos 2.11.2 + + com.njcn + pq-device-api + ${project.version} + diff --git a/algorithm/algorithm-boot/src/main/java/com/njcn/algorithm/executor/MeasurementExecutor.java b/algorithm/algorithm-boot/src/main/java/com/njcn/algorithm/executor/MeasurementExecutor.java index b15c39d..88e18c2 100644 --- a/algorithm/algorithm-boot/src/main/java/com/njcn/algorithm/executor/MeasurementExecutor.java +++ b/algorithm/algorithm-boot/src/main/java/com/njcn/algorithm/executor/MeasurementExecutor.java @@ -29,7 +29,8 @@ public class MeasurementExecutor extends BaseExecutor { private IDataCleanService dataCleanService; /** - * 数据清洗（dataV） + * 数据清洗 电压表 + * dataV表 * @author xy */ @LiteflowMethod(value = LiteFlowMethodEnum.IS_ACCESS, nodeId = "dataVClean", nodeType = NodeTypeEnum.COMMON) @@ -41,6 +42,119 @@ public class MeasurementExecutor extends BaseExecutor { dataCleanService.dataVCleanHandler(bindCmp.getRequestData()); } + /** + * 数据清洗 电流表 + * dataI表 + * @author xy + */ + @LiteflowMethod(value = LiteFlowMethodEnum.IS_ACCESS, nodeId = "dataIClean", nodeType = NodeTypeEnum.COMMON) + public boolean dataICleanAccess(NodeComponent bindCmp) { + return isAccess(bindCmp); + } + @LiteflowMethod(value = LiteFlowMethodEnum.PROCESS, nodeId = "dataIClean", nodeType = NodeTypeEnum.COMMON) + public void dataICleanProcess(NodeComponent bindCmp) { + dataCleanService.dataICleanHandler(bindCmp.getRequestData()); + } + + /** + * 数据清洗 长闪表 + * dataPlt表 + * @author xy + */ + @LiteflowMethod(value = LiteFlowMethodEnum.IS_ACCESS, nodeId = "dataPltClean", nodeType = NodeTypeEnum.COMMON) + public boolean dataPltCleanAccess(NodeComponent bindCmp) { + return isAccess(bindCmp); + } + @LiteflowMethod(value = LiteFlowMethodEnum.PROCESS, nodeId = "dataPltClean", nodeType = NodeTypeEnum.COMMON) + public void dataPltCleanProcess(NodeComponent bindCmp) { + dataCleanService.dataPltCleanHandler(bindCmp.getRequestData()); + } + + /** + * 数据清洗 间谐波电压表 + * DataInHarmV表 + * @author xy + */ + @LiteflowMethod(value = LiteFlowMethodEnum.IS_ACCESS, nodeId = "dataInHarmVClean", nodeType = NodeTypeEnum.COMMON) + public boolean dataInHarmVCleanAccess(NodeComponent bindCmp) { + return isAccess(bindCmp); + } + @LiteflowMethod(value = LiteFlowMethodEnum.PROCESS, nodeId = "dataInHarmVClean", nodeType = NodeTypeEnum.COMMON) + public void dataInHarmVCleanProcess(NodeComponent bindCmp) { + dataCleanService.dataInHarmVCleanHandler(bindCmp.getRequestData()); + } + + /** + * 数据清洗 谐波电压含有率 + * DataHarmRateV表 + * @author xy + */ + @LiteflowMethod(value = LiteFlowMethodEnum.IS_ACCESS, nodeId = "dataHarmRateVClean", nodeType = NodeTypeEnum.COMMON) + public boolean dataHarmRateVCleanAccess(NodeComponent bindCmp) { + return isAccess(bindCmp); + } + @LiteflowMethod(value = LiteFlowMethodEnum.PROCESS, nodeId = "dataHarmRateVClean", nodeType = NodeTypeEnum.COMMON) + public void dataHarmRateVCleanProcess(NodeComponent bindCmp) { + dataCleanService.dataHarmRateVCleanHandler(bindCmp.getRequestData()); + } + + /** + * 数据清洗 有功功率表 + * DataHarmPowerP表 + * @author xy + */ + @LiteflowMethod(value = LiteFlowMethodEnum.IS_ACCESS, nodeId = "dataHarmPowerPClean", nodeType = NodeTypeEnum.COMMON) + public boolean dataHarmPowerPCleanAccess(NodeComponent bindCmp) { + return isAccess(bindCmp); + } + @LiteflowMethod(value = LiteFlowMethodEnum.PROCESS, nodeId = "dataHarmPowerPClean", nodeType = NodeTypeEnum.COMMON) + public void dataHarmPowerPCleanProcess(NodeComponent bindCmp) { + dataCleanService.dataHarmPowerPCleanHandler(bindCmp.getRequestData()); + } + + /** + * 数据清洗 谐波电压角度表 + * DataHarmPhasicV表 + * @author xy + */ + @LiteflowMethod(value = LiteFlowMethodEnum.IS_ACCESS, nodeId = "dataHarmPhasicVClean", nodeType = NodeTypeEnum.COMMON) + public boolean dataHarmPhasicVCleanAccess(NodeComponent bindCmp) { + return isAccess(bindCmp); + } + @LiteflowMethod(value = LiteFlowMethodEnum.PROCESS, nodeId = "dataHarmPhasicVClean", nodeType = NodeTypeEnum.COMMON) + public void dataHarmPhasicVCleanProcess(NodeComponent bindCmp) { + dataCleanService.dataHarmPhasicVCleanHandler(bindCmp.getRequestData()); + } + + /** + * 数据清洗 电压波动表 + * DataFluc表 + * @author xy + */ + @LiteflowMethod(value = LiteFlowMethodEnum.IS_ACCESS, nodeId = "dataFlucClean", nodeType = NodeTypeEnum.COMMON) + public boolean dataFlucCleanAccess(NodeComponent bindCmp) { + return isAccess(bindCmp); + } + @LiteflowMethod(value = LiteFlowMethodEnum.PROCESS, nodeId = "dataFlucClean", nodeType = NodeTypeEnum.COMMON) + public void dataFlucCleanProcess(NodeComponent bindCmp) { + dataCleanService.dataFlucCleanHandler(bindCmp.getRequestData()); + } + + /** + * 数据清洗 + * DataFlicker表 + * @author xy + */ + @LiteflowMethod(value = LiteFlowMethodEnum.IS_ACCESS, nodeId = "dataFlickerClean", nodeType = NodeTypeEnum.COMMON) + public boolean dataFlickerCleanAccess(NodeComponent bindCmp) { + return isAccess(bindCmp); + } + @LiteflowMethod(value = LiteFlowMethodEnum.PROCESS, nodeId = "dataFlickerClean", nodeType = NodeTypeEnum.COMMON) + public void dataFlickerCleanProcess(NodeComponent bindCmp) { + dataCleanService.dataFlickerCleanHandler(bindCmp.getRequestData()); + } + + /** * 监测点报表_日表(r_stat_data_*_d) * @author xy @@ -54,4 +168,67 @@ public class MeasurementExecutor extends BaseExecutor { dayDataService.dataVHandler(bindCmp.getRequestData()); } + @LiteflowMethod(value = LiteFlowMethodEnum.IS_ACCESS, nodeId = "dataI", nodeType = NodeTypeEnum.COMMON) + public boolean dataIToDayAccess(NodeComponent bindCmp) { + return isAccess(bindCmp); + } + @LiteflowMethod(value = LiteFlowMethodEnum.PROCESS, nodeId = "dataI", nodeType = NodeTypeEnum.COMMON) + public void dataIToDayProcess(NodeComponent bindCmp) { + dayDataService.dataIHandler(bindCmp.getRequestData()); + } + + @LiteflowMethod(value = LiteFlowMethodEnum.IS_ACCESS, nodeId = "dataFlicker", nodeType = NodeTypeEnum.COMMON) + public boolean dataFlickerToDayAccess(NodeComponent bindCmp) { + return isAccess(bindCmp); + } + @LiteflowMethod(value = LiteFlowMethodEnum.PROCESS, nodeId = "dataFlicker", nodeType = NodeTypeEnum.COMMON) + public void dataFlickerToDayProcess(NodeComponent bindCmp) { + dayDataService.dataFlickerHandler(bindCmp.getRequestData()); + } + + @LiteflowMethod(value = LiteFlowMethodEnum.IS_ACCESS, nodeId = "dataFluc", nodeType = NodeTypeEnum.COMMON) + public boolean dataFlucToDayAccess(NodeComponent bindCmp) { + return isAccess(bindCmp); + } + @LiteflowMethod(value = LiteFlowMethodEnum.PROCESS, nodeId = "dataFluc", nodeType = NodeTypeEnum.COMMON) + public void dataFlucToDayProcess(NodeComponent bindCmp) { + dayDataService.dataFlucHandler(bindCmp.getRequestData()); + } + + @LiteflowMethod(value = LiteFlowMethodEnum.IS_ACCESS, nodeId = "dataHarmPhasicI", nodeType = NodeTypeEnum.COMMON) + public boolean dataHarmPhasicIToDayAccess(NodeComponent bindCmp) { + return isAccess(bindCmp); + } + @LiteflowMethod(value = LiteFlowMethodEnum.PROCESS, nodeId = "dataHarmPhasicI", nodeType = NodeTypeEnum.COMMON) + public void dataHarmPhasicIToDayProcess(NodeComponent bindCmp) { + dayDataService.dataHarmPhasicIHandler(bindCmp.getRequestData()); + } + + @LiteflowMethod(value = LiteFlowMethodEnum.IS_ACCESS, nodeId = "dataHarmPhasicV", nodeType = NodeTypeEnum.COMMON) + public boolean dataHarmPhasicVToDayAccess(NodeComponent bindCmp) { + return isAccess(bindCmp); + } + @LiteflowMethod(value = LiteFlowMethodEnum.PROCESS, nodeId = "dataHarmPhasicV", nodeType = NodeTypeEnum.COMMON) + public void dataHarmPhasicVToDayProcess(NodeComponent bindCmp) { + dayDataService.dataHarmPhasicVHandler(bindCmp.getRequestData()); + } + + @LiteflowMethod(value = LiteFlowMethodEnum.IS_ACCESS, nodeId = "dataHarmPowerP", nodeType = NodeTypeEnum.COMMON) + public boolean dataHarmPowerPToDayAccess(NodeComponent bindCmp) { + return isAccess(bindCmp); + } + @LiteflowMethod(value = LiteFlowMethodEnum.PROCESS, nodeId = "dataHarmPowerP", nodeType = NodeTypeEnum.COMMON) + public void dataHarmPowerPToDayProcess(NodeComponent bindCmp) { + dayDataService.dataHarmPowerPHandler(bindCmp.getRequestData()); + } + + @LiteflowMethod(value = LiteFlowMethodEnum.IS_ACCESS, nodeId = "dataHarmPowerQ", nodeType = NodeTypeEnum.COMMON) + public boolean dataHarmPowerQToDayAccess(NodeComponent bindCmp) { + return isAccess(bindCmp); + } + @LiteflowMethod(value = LiteFlowMethodEnum.PROCESS, nodeId = "dataHarmPowerQ", nodeType = NodeTypeEnum.COMMON) + public void dataHarmPowerQToDayProcess(NodeComponent bindCmp) { + dayDataService.dataHarmPowerQHandler(bindCmp.getRequestData()); + } + } diff --git a/algorithm/algorithm-boot/src/main/java/com/njcn/algorithm/service/line/IDataCleanService.java b/algorithm/algorithm-boot/src/main/java/com/njcn/algorithm/service/line/IDataCleanService.java index a5facc4..e7cdabe 100644 --- a/algorithm/algorithm-boot/src/main/java/com/njcn/algorithm/service/line/IDataCleanService.java +++ b/algorithm/algorithm-boot/src/main/java/com/njcn/algorithm/service/line/IDataCleanService.java @@ -9,9 +9,73 @@ public interface IDataCleanService { /*** * dataV数据清洗 + * 不标记原始数据，将异常数据查询出来重新存储至详情表中 * @author xy * @param calculatedParam 查询条件 */ void dataVCleanHandler(CalculatedParam calculatedParam); + /*** + * dataI数据清洗 + * 不标记原始数据，将异常数据查询出来重新存储至详情表中 + * @author xy + * @param calculatedParam 查询条件 + */ + void dataICleanHandler(CalculatedParam calculatedParam); + + /*** + * dataPlt数据清洗 + * 不标记原始数据，将异常数据查询出来重新存储至详情表中 + * @author xy + * @param calculatedParam 查询条件 + */ + void dataPltCleanHandler(CalculatedParam calculatedParam); + + /*** + * dataInHarmV数据清洗 + * 不标记原始数据，将异常数据查询出来重新存储至详情表中 + * @author xy + * @param calculatedParam 查询条件 + */ + void dataInHarmVCleanHandler(CalculatedParam calculatedParam); + + /*** + * dataHarmRateV数据清洗 + * 不标记原始数据，将异常数据查询出来重新存储至详情表中 + * @author xy + * @param calculatedParam 查询条件 + */ + void dataHarmRateVCleanHandler(CalculatedParam calculatedParam); + + /*** + * dataHarmPowerP数据清洗 + * 不标记原始数据，将异常数据查询出来重新存储至详情表中 + * @author xy + * @param calculatedParam 查询条件 + */ + void dataHarmPowerPCleanHandler(CalculatedParam calculatedParam); + + /*** + * dataHarmPhasicV数据清洗 + * 不标记原始数据，将异常数据查询出来重新存储至详情表中 + * @author xy + * @param calculatedParam 查询条件 + */ + void dataHarmPhasicVCleanHandler(CalculatedParam calculatedParam); + + /*** + * dataFluc数据清洗 + * 不标记原始数据，将异常数据查询出来重新存储至详情表中 + * @author xy + * @param calculatedParam 查询条件 + */ + void dataFlucCleanHandler(CalculatedParam calculatedParam); + + /*** + * dataFlicker数据清洗 + * 不标记原始数据，将异常数据查询出来重新存储至详情表中 + * @author xy + * @param calculatedParam 查询条件 + */ + void dataFlickerCleanHandler(CalculatedParam calculatedParam); } diff --git a/algorithm/algorithm-boot/src/main/java/com/njcn/algorithm/service/line/IDayDataService.java b/algorithm/algorithm-boot/src/main/java/com/njcn/algorithm/service/line/IDayDataService.java index 9484c73..1068e48 100644 --- a/algorithm/algorithm-boot/src/main/java/com/njcn/algorithm/service/line/IDayDataService.java +++ b/algorithm/algorithm-boot/src/main/java/com/njcn/algorithm/service/line/IDayDataService.java @@ -16,4 +16,60 @@ public interface IDayDataService { */ void dataVHandler(CalculatedParam calculatedParam); + /*** + * dataI转r_stat_data_i_d + * @author xuyang + * @date 2025/01/18 21:18 + * @param calculatedParam 查询条件 + */ + void dataIHandler(CalculatedParam calculatedParam); + + /*** + * dataFlicker转r_stat_data_flicker_d + * @author xuyang + * @date 2025/01/18 21:18 + * @param calculatedParam 查询条件 + */ + void dataFlickerHandler(CalculatedParam calculatedParam); + + /*** + * dataFluc转r_stat_data_fluc_d + * @author xuyang + * @date 2025/01/18 21:18 + * @param calculatedParam 查询条件 + */ + void dataFlucHandler(CalculatedParam calculatedParam); + + /*** + * dataHarmPhasicI转r_stat_data_harmphasic_i_d + * @author xuyang + * @date 2025/01/18 21:18 + * @param calculatedParam 查询条件 + */ + void dataHarmPhasicIHandler(CalculatedParam calculatedParam); + + /*** + * dataHarmPhasicV转r_stat_data_harmphasic_v_d + * @author xuyang + * @date 2025/01/18 21:18 + * @param calculatedParam 查询条件 + */ + void dataHarmPhasicVHandler(CalculatedParam calculatedParam); + + /*** + * dataHarmPowerP转r_stat_data_harmpower_p_d + * @author xuyang + * @date 2025/01/18 21:18 + * @param calculatedParam 查询条件 + */ + void dataHarmPowerPHandler(CalculatedParam calculatedParam); + + /*** + * dataHarmPowerQ转r_stat_data_harmpower_q_d + * @author xuyang + * @date 2025/01/18 21:18 + * @param calculatedParam 查询条件 + */ + void dataHarmPowerQHandler(CalculatedParam calculatedParam); + } diff --git a/algorithm/algorithm-boot/src/main/java/com/njcn/algorithm/serviceimpl/line/DataCleanServiceImpl.java b/algorithm/algorithm-boot/src/main/java/com/njcn/algorithm/serviceimpl/line/DataCleanServiceImpl.java index 0cf27d4..1e98e1d 100644 --- a/algorithm/algorithm-boot/src/main/java/com/njcn/algorithm/serviceimpl/line/DataCleanServiceImpl.java +++ b/algorithm/algorithm-boot/src/main/java/com/njcn/algorithm/serviceimpl/line/DataCleanServiceImpl.java @@ -3,10 +3,16 @@ package com.njcn.algorithm.serviceimpl.line; import cn.hutool.core.collection.CollUtil; import com.njcn.algorithm.pojo.bo.CalculatedParam; import com.njcn.algorithm.service.line.IDataCleanService; -import com.njcn.dataProcess.api.DataVFeignClient; +import com.njcn.dataProcess.api.*; +import com.njcn.dataProcess.enums.DataCleanEnum; +import com.njcn.dataProcess.param.DataCleanParam; import com.njcn.dataProcess.param.LineCountEvaluateParam; -import com.njcn.dataProcess.pojo.dto.DataVDto; +import com.njcn.dataProcess.pojo.dto.*; +import com.njcn.dataProcess.pojo.po.PqDataVerify; +import com.njcn.dataProcess.util.DataCommonUtils; import com.njcn.dataProcess.util.TimeUtils; +import com.njcn.device.pq.api.LineFeignClient; +import com.njcn.device.pq.pojo.vo.LineDetailVO; import lombok.RequiredArgsConstructor; import lombok.extern.slf4j.Slf4j; import org.apache.commons.collections4.ListUtils; @@ -15,8 +21,11 @@ import org.slf4j.LoggerFactory; import org.springframework.stereotype.Component; import javax.annotation.Resource; -import java.util.ArrayList; -import java.util.List; +import java.lang.reflect.Method; +import java.time.LocalDateTime; +import java.util.*; +import java.util.function.Function; +import java.util.stream.Collectors; /** * @author xy @@ -31,26 +40,833 @@ public class DataCleanServiceImpl implements IDataCleanService { @Resource private DataVFeignClient dataVFeignClient; + @Resource + private DataIFeignClient dataIFeignClient; + @Resource + private DataPltFeignClient dataPltFeignClient; + @Resource + private DataInharmVFeignClient dataInharmVFeignClient; + @Resource + private DataHarmRateVFeignClient dataHarmRateVFeignClient; + @Resource + private DataHarmpowerPFeignClient dataHarmpowerPFeignClient; + @Resource + private DataHarmphasicVFeignClient dataHarmphasicVFeignClient; + @Resource + private DataFlucFeignClient dataFlucFeignClient; + @Resource + private DataFlickerFeignClient dataFlickerFeignClient; + @Resource + private PqDataVerifyFeignClient pqDataVerifyFeignClient; + @Resource + private PqReasonableRangeFeignClient pqReasonableRangeFeignClient; + @Resource + private LineFeignClient lineFeignClient; + @Override public void dataVCleanHandler(CalculatedParam calculatedParam) { - List result = new ArrayList<>(); + logger.info("{},dataV表异常数据算法执行=====》", LocalDateTime.now()); + List result = new ArrayList<>(); + //获取标准 + Map map = getStandardData(DataCleanEnum.DataV.getCode()); + //获取监测点台账信息 + List lineList = calculatedParam.getIdList(); + List lineDetail = lineFeignClient.getLineDetailByIds(lineList).getData(); + if (CollUtil.isEmpty(lineDetail)) { + logger.error("监测点集合为空，无法计算!"); + return; + } + Map lineMap = lineDetail.stream().collect(Collectors.toMap(LineDetailVO.Detail::getLineId, Function.identity())); + //数据分片处理 LineCountEvaluateParam lineParam = new LineCountEvaluateParam(); lineParam.setStartTime(TimeUtils.getBeginOfDay(calculatedParam.getDataDate())); lineParam.setEndTime(TimeUtils.getEndOfDay(calculatedParam.getDataDate())); - List> pendingIds = ListUtils.partition(calculatedParam.getIdList(),NUM); + List> pendingIds = ListUtils.partition(lineList,NUM); pendingIds.forEach(list->{ lineParam.setLineId(list); List partList = dataVFeignClient.getRawData(lineParam).getData(); if (CollUtil.isNotEmpty(partList)) { partList.forEach(item->{ - item.setAbnormalFlag(0); + //数据清洗 + List pqDataVerifies = judgeDataV(map, lineMap.get(item.getLineId()),item); + result.addAll(pqDataVerifies); }); - result.addAll(partList); } }); if (CollUtil.isNotEmpty(result)) { - dataVFeignClient.addInfluxDbList(result); + pqDataVerifyFeignClient.insertData(result); } } + + @Override + public void dataICleanHandler(CalculatedParam calculatedParam) { + logger.info("{},dataI表异常数据算法执行=====》", LocalDateTime.now()); + List result = new ArrayList<>(); + //获取标准 + Map map = getStandardData(DataCleanEnum.DataI.getCode()); + //获取监测点台账信息 + List lineList = calculatedParam.getIdList(); + List lineDetail = lineFeignClient.getLineDetailByIds(lineList).getData(); + if (CollUtil.isEmpty(lineDetail)) { + logger.error("监测点集合为空，无法计算!"); + return; + } + Map lineMap = lineDetail.stream().collect(Collectors.toMap(LineDetailVO.Detail::getLineId, Function.identity())); + //数据分片处理 + LineCountEvaluateParam lineParam = new LineCountEvaluateParam(); + lineParam.setStartTime(TimeUtils.getBeginOfDay(calculatedParam.getDataDate())); + lineParam.setEndTime(TimeUtils.getEndOfDay(calculatedParam.getDataDate())); + List> pendingIds = ListUtils.partition(lineList,NUM); + pendingIds.forEach(list->{ + lineParam.setLineId(list); + List partList = dataIFeignClient.getRawData(lineParam).getData(); + if (CollUtil.isNotEmpty(partList)) { + partList.forEach(item->{ + //数据清洗 + List pqDataVerifies = judgeDataI(map, lineMap.get(item.getLineId()),item); + result.addAll(pqDataVerifies); + }); + } + }); + if (CollUtil.isNotEmpty(result)) { + pqDataVerifyFeignClient.insertData(result); + } + } + + @Override + public void dataPltCleanHandler(CalculatedParam calculatedParam) { + logger.info("{},dataPlt表异常数据算法执行=====》", LocalDateTime.now()); + List result = new ArrayList<>(); + //获取标准 + Map map = getStandardData(DataCleanEnum.DataPlt.getCode()); + //获取监测点台账信息 + List lineList = calculatedParam.getIdList(); + //数据分片处理 + LineCountEvaluateParam lineParam = new LineCountEvaluateParam(); + lineParam.setStartTime(TimeUtils.getBeginOfDay(calculatedParam.getDataDate())); + lineParam.setEndTime(TimeUtils.getEndOfDay(calculatedParam.getDataDate())); + List> pendingIds = ListUtils.partition(lineList,NUM); + pendingIds.forEach(list->{ + lineParam.setLineId(list); + List partList = dataPltFeignClient.getRawData(lineParam).getData(); + if (CollUtil.isNotEmpty(partList)) { + partList.forEach(item->{ + //数据清洗 + List pqDataVerifies = judgeDataPlt(map,item); + result.addAll(pqDataVerifies); + }); + } + }); + if (CollUtil.isNotEmpty(result)) { + pqDataVerifyFeignClient.insertData(result); + } + } + + @Override + public void dataInHarmVCleanHandler(CalculatedParam calculatedParam) { + logger.info("{},dataInHarmV表异常数据算法执行=====》", LocalDateTime.now()); + List result = new ArrayList<>(); + //获取标准 + Map map = getStandardData(DataCleanEnum.DataInHarmV.getCode()); + //获取监测点台账信息 + List lineList = calculatedParam.getIdList(); + //数据分片处理 + LineCountEvaluateParam lineParam = new LineCountEvaluateParam(); + lineParam.setStartTime(TimeUtils.getBeginOfDay(calculatedParam.getDataDate())); + lineParam.setEndTime(TimeUtils.getEndOfDay(calculatedParam.getDataDate())); + List> pendingIds = ListUtils.partition(lineList,NUM); + pendingIds.forEach(list->{ + lineParam.setLineId(list); + List partList = dataInharmVFeignClient.getRawData(lineParam).getData(); + if (CollUtil.isNotEmpty(partList)) { + partList.forEach(item->{ + //数据清洗 + List pqDataVerifies = judgeDataInHarmV(map,item); + result.addAll(pqDataVerifies); + }); + } + }); + if (CollUtil.isNotEmpty(result)) { + pqDataVerifyFeignClient.insertData(result); + } + } + + @Override + public void dataHarmRateVCleanHandler(CalculatedParam calculatedParam) { + logger.info("{},dataHarmRateV表异常数据算法执行=====》", LocalDateTime.now()); + List result = new ArrayList<>(); + //获取标准 + Map map = getStandardData(DataCleanEnum.DataHarmRateV.getCode()); + //获取监测点台账信息 + List lineList = calculatedParam.getIdList(); + //数据分片处理 + LineCountEvaluateParam lineParam = new LineCountEvaluateParam(); + lineParam.setStartTime(TimeUtils.getBeginOfDay(calculatedParam.getDataDate())); + lineParam.setEndTime(TimeUtils.getEndOfDay(calculatedParam.getDataDate())); + List> pendingIds = ListUtils.partition(lineList,NUM); + pendingIds.forEach(list->{ + lineParam.setLineId(list); + List partList = dataHarmRateVFeignClient.getRawData(lineParam).getData(); + if (CollUtil.isNotEmpty(partList)) { + partList.forEach(item->{ + //数据清洗 + List pqDataVerifies = judgeDataHarmRateV(map,item); + result.addAll(pqDataVerifies); + }); + } + }); + if (CollUtil.isNotEmpty(result)) { + pqDataVerifyFeignClient.insertData(result); + } + } + + @Override + public void dataHarmPowerPCleanHandler(CalculatedParam calculatedParam) { + logger.info("{},dataHarmPowerP表异常数据算法执行=====》", LocalDateTime.now()); + List result = new ArrayList<>(); + //获取标准 + Map map = getStandardData(DataCleanEnum.DataHarmPowerP.getCode()); + //获取监测点台账信息 + List lineList = calculatedParam.getIdList(); + //数据分片处理 + LineCountEvaluateParam lineParam = new LineCountEvaluateParam(); + lineParam.setStartTime(TimeUtils.getBeginOfDay(calculatedParam.getDataDate())); + lineParam.setEndTime(TimeUtils.getEndOfDay(calculatedParam.getDataDate())); + List> pendingIds = ListUtils.partition(lineList,NUM); + pendingIds.forEach(list->{ + lineParam.setLineId(list); + List partList = dataHarmpowerPFeignClient.getRawData(lineParam).getData(); + if (CollUtil.isNotEmpty(partList)) { + partList.forEach(item->{ + //数据清洗 + List pqDataVerifies = judgeDataHarmPowerP(map,item); + result.addAll(pqDataVerifies); + }); + } + }); + if (CollUtil.isNotEmpty(result)) { + pqDataVerifyFeignClient.insertData(result); + } + } + + @Override + public void dataHarmPhasicVCleanHandler(CalculatedParam calculatedParam) { + logger.info("{},dataHarmPhasicV表异常数据算法执行=====》", LocalDateTime.now()); + List result = new ArrayList<>(); + //获取标准 + Map map = getStandardData(DataCleanEnum.DataHarmPhasicV.getCode()); + //获取监测点台账信息 + List lineList = calculatedParam.getIdList(); + //数据分片处理 + LineCountEvaluateParam lineParam = new LineCountEvaluateParam(); + lineParam.setStartTime(TimeUtils.getBeginOfDay(calculatedParam.getDataDate())); + lineParam.setEndTime(TimeUtils.getEndOfDay(calculatedParam.getDataDate())); + List> pendingIds = ListUtils.partition(lineList,NUM); + pendingIds.forEach(list->{ + lineParam.setLineId(list); + List partList = dataHarmphasicVFeignClient.getRawData(lineParam).getData(); + if (CollUtil.isNotEmpty(partList)) { + partList.forEach(item->{ + //数据清洗 + List pqDataVerifies = judgeDataHarmPhasicV(map,item); + result.addAll(pqDataVerifies); + }); + } + }); + if (CollUtil.isNotEmpty(result)) { + pqDataVerifyFeignClient.insertData(result); + } + } + + @Override + public void dataFlucCleanHandler(CalculatedParam calculatedParam) { + logger.info("{},dataFluc表异常数据算法执行=====》", LocalDateTime.now()); + List result = new ArrayList<>(); + //获取标准 + Map map = getStandardData(DataCleanEnum.DataFluc.getCode()); + //获取监测点台账信息 + List lineList = calculatedParam.getIdList(); + //数据分片处理 + LineCountEvaluateParam lineParam = new LineCountEvaluateParam(); + lineParam.setStartTime(TimeUtils.getBeginOfDay(calculatedParam.getDataDate())); + lineParam.setEndTime(TimeUtils.getEndOfDay(calculatedParam.getDataDate())); + List> pendingIds = ListUtils.partition(lineList,NUM); + pendingIds.forEach(list->{ + lineParam.setLineId(list); + List partList = dataFlucFeignClient.getRawData(lineParam).getData(); + if (CollUtil.isNotEmpty(partList)) { + partList.forEach(item->{ + //数据清洗 + List pqDataVerifies = judgeDataFluc(map,item); + result.addAll(pqDataVerifies); + }); + } + }); + if (CollUtil.isNotEmpty(result)) { + pqDataVerifyFeignClient.insertData(result); + } + } + + @Override + public void dataFlickerCleanHandler(CalculatedParam calculatedParam) { + logger.info("{},dataFlicker表异常数据算法执行=====》", LocalDateTime.now()); + List result = new ArrayList<>(); + //获取标准 + Map map = getStandardData(DataCleanEnum.DataFlicker.getCode()); + //获取监测点台账信息 + List lineList = calculatedParam.getIdList(); + //数据分片处理 + LineCountEvaluateParam lineParam = new LineCountEvaluateParam(); + lineParam.setStartTime(TimeUtils.getBeginOfDay(calculatedParam.getDataDate())); + lineParam.setEndTime(TimeUtils.getEndOfDay(calculatedParam.getDataDate())); + List> pendingIds = ListUtils.partition(lineList,NUM); + pendingIds.forEach(list->{ + lineParam.setLineId(list); + List partList = dataFlickerFeignClient.getRawData(lineParam).getData(); + if (CollUtil.isNotEmpty(partList)) { + partList.forEach(item->{ + //数据清洗 + List pqDataVerifies = judgeDataFlicker(map,item); + result.addAll(pqDataVerifies); + }); + } + }); + if (CollUtil.isNotEmpty(result)) { + pqDataVerifyFeignClient.insertData(result); + } + } + + + /** + * 获取标准数据的范围 + */ + public Map getStandardData(String tableName) { + Map pqReasonableRangeDtoMap = new HashMap<>(); + DataCleanParam param = new DataCleanParam(); + param.setSystemType(DataCleanEnum.Pqs.getCode()); + param.setDataSource(DataCleanEnum.InfluxDB.getCode()); + param.setTableName(tableName); + List list = pqReasonableRangeFeignClient.getData(param).getData(); + if (CollUtil.isNotEmpty(list)) { + pqReasonableRangeDtoMap = list.stream().collect(Collectors.toMap(PqReasonableRangeDto::getIndexCode, Function.identity())); + } + return pqReasonableRangeDtoMap; + } + + + /** + * 获取数据的标准范围，进行数据比对 + */ + public List judgeDataV(Map map, LineDetailVO.Detail line, DataVDto dto) { + List list = new ArrayList<>(); + PqReasonableRangeDto pqReasonableRangeDto; + List phaseList; + //频率判断 + pqReasonableRangeDto = map.get(DataCleanEnum.Freq.getCode()); + phaseList = Arrays.asList(pqReasonableRangeDto.getPhaseType().split(",")); + if (phaseList.contains(dto.getPhasicType())) { + if (dto.getFreq() < pqReasonableRangeDto.getMinValue() || dto.getFreq() > pqReasonableRangeDto.getMaxValue()) { + //log.info("dataV-频率数据异常,已清洗!数据值:{},数据时间:{}", dto.getFreq(), dto.getMinTime()); + PqDataVerify pqDataVerify = getPqDataVerify(dto.getLineId() + ,dto.getMinTime() + ,dto.getValueType() + ,dto.getPhasicType() + ,pqReasonableRangeDto.getIndexCode() + ,pqReasonableRangeDto.getIndexName() + ,pqReasonableRangeDto.getInfluxdbTableName() + ,dto.getFreq() + ,pqReasonableRangeDto.getMinValue() + ,pqReasonableRangeDto.getMaxValue()); + list.add(pqDataVerify); + } + } + + //频率偏差判断 + pqReasonableRangeDto = map.get(DataCleanEnum.FreqDev.getCode()); + phaseList = Arrays.asList(pqReasonableRangeDto.getPhaseType().split(",")); + if (phaseList.contains(dto.getPhasicType())) { + if (dto.getFreqDev() < pqReasonableRangeDto.getMinValue() || dto.getFreqDev() > pqReasonableRangeDto.getMaxValue()) { + //log.info("dataV-频率偏差数据异常,已清洗!数据值:{},数据时间:{}", dto.getFreqDev(), dto.getMinTime()); + PqDataVerify pqDataVerify = getPqDataVerify(dto.getLineId() + ,dto.getMinTime() + ,dto.getValueType() + ,dto.getPhasicType() + ,pqReasonableRangeDto.getIndexCode() + ,pqReasonableRangeDto.getIndexName() + ,pqReasonableRangeDto.getInfluxdbTableName() + ,dto.getFreqDev() + ,pqReasonableRangeDto.getMinValue() + ,pqReasonableRangeDto.getMaxValue()); + list.add(pqDataVerify); + } + } + + //相电压有效值 + pqReasonableRangeDto = map.get(DataCleanEnum.RmsV.getCode()); + phaseList = Arrays.asList(pqReasonableRangeDto.getPhaseType().split(",")); + if (phaseList.contains(dto.getPhasicType())) { + if (dto.getRms() < (pqReasonableRangeDto.getMinValue()* DataCommonUtils.getVoltageData(line.getVoltageLevel())) + || dto.getRms() > (pqReasonableRangeDto.getMaxValue()*DataCommonUtils.getVoltageData(line.getVoltageLevel()))) { + //log.info("dataV-相电压有效值数据异常,已清洗!数据值:{},数据时间:{}", dto.getRms(), dto.getMinTime()); + PqDataVerify pqDataVerify = getPqDataVerify(dto.getLineId() + ,dto.getMinTime() + ,dto.getValueType() + ,dto.getPhasicType() + ,pqReasonableRangeDto.getIndexCode() + ,pqReasonableRangeDto.getIndexName() + ,pqReasonableRangeDto.getInfluxdbTableName() + ,dto.getRms() + ,pqReasonableRangeDto.getMinValue()* DataCommonUtils.getVoltageData(line.getVoltageLevel()) + ,pqReasonableRangeDto.getMaxValue()*DataCommonUtils.getVoltageData(line.getVoltageLevel())); + list.add(pqDataVerify); + } + } + + //正序电压 + pqReasonableRangeDto = map.get(DataCleanEnum.VPos.getCode()); + phaseList = Arrays.asList(pqReasonableRangeDto.getPhaseType().split(",")); + if (phaseList.contains(dto.getPhasicType())) { + if (dto.getVPos() < (pqReasonableRangeDto.getMinValue()*DataCommonUtils.getVoltageData(line.getVoltageLevel())) + || dto.getVPos() > (pqReasonableRangeDto.getMaxValue()*DataCommonUtils.getVoltageData(line.getVoltageLevel()))) { + //log.info("dataV-正序电压数据异常,已清洗!数据值:{},数据时间:{}", dto.getVPos(), dto.getMinTime()); + PqDataVerify pqDataVerify = getPqDataVerify(dto.getLineId() + ,dto.getMinTime() + ,dto.getValueType() + ,dto.getPhasicType() + ,pqReasonableRangeDto.getIndexCode() + ,pqReasonableRangeDto.getIndexName() + ,pqReasonableRangeDto.getInfluxdbTableName() + ,dto.getVPos() + ,pqReasonableRangeDto.getMinValue()*DataCommonUtils.getVoltageData(line.getVoltageLevel()) + ,pqReasonableRangeDto.getMaxValue()*DataCommonUtils.getVoltageData(line.getVoltageLevel())); + list.add(pqDataVerify); + } + } + + //负序电压 + pqReasonableRangeDto = map.get(DataCleanEnum.VNeg.getCode()); + phaseList = Arrays.asList(pqReasonableRangeDto.getPhaseType().split(",")); + if (phaseList.contains(dto.getPhasicType())) { + if (dto.getVNeg() < (pqReasonableRangeDto.getMinValue()*DataCommonUtils.getVoltageData(line.getVoltageLevel())) + || dto.getVNeg() > (pqReasonableRangeDto.getMaxValue()*DataCommonUtils.getVoltageData(line.getVoltageLevel()))) { + //log.info("dataV-负序电压数据异常,已清洗!数据值:{},数据时间:{}", dto.getVNeg(), dto.getMinTime()); + PqDataVerify pqDataVerify = getPqDataVerify(dto.getLineId() + ,dto.getMinTime() + ,dto.getValueType() + ,dto.getPhasicType() + ,pqReasonableRangeDto.getIndexCode() + ,pqReasonableRangeDto.getIndexName() + ,pqReasonableRangeDto.getInfluxdbTableName() + ,dto.getVNeg() + ,pqReasonableRangeDto.getMinValue()*DataCommonUtils.getVoltageData(line.getVoltageLevel()) + ,pqReasonableRangeDto.getMaxValue()*DataCommonUtils.getVoltageData(line.getVoltageLevel())); + list.add(pqDataVerify); + } + } + + //零序电压 + pqReasonableRangeDto = map.get(DataCleanEnum.VZero.getCode()); + phaseList = Arrays.asList(pqReasonableRangeDto.getPhaseType().split(",")); + if (phaseList.contains(dto.getPhasicType())) { + if (dto.getVZero() < (pqReasonableRangeDto.getMinValue()*DataCommonUtils.getVoltageData(line.getVoltageLevel())) + || dto.getVZero() > (pqReasonableRangeDto.getMaxValue()*DataCommonUtils.getVoltageData(line.getVoltageLevel()))) { + //log.info("dataV-零序电压数据异常,已清洗!数据值:{},数据时间:{}", dto.getVZero(), dto.getMinTime()); + PqDataVerify pqDataVerify = getPqDataVerify(dto.getLineId() + ,dto.getMinTime() + ,dto.getValueType() + ,dto.getPhasicType() + ,pqReasonableRangeDto.getIndexCode() + ,pqReasonableRangeDto.getIndexName() + ,pqReasonableRangeDto.getInfluxdbTableName() + ,dto.getVZero() + ,pqReasonableRangeDto.getMinValue()*DataCommonUtils.getVoltageData(line.getVoltageLevel()) + ,pqReasonableRangeDto.getMaxValue()*DataCommonUtils.getVoltageData(line.getVoltageLevel())); + list.add(pqDataVerify); + } + } + + //电压不平衡度 + pqReasonableRangeDto = map.get(DataCleanEnum.VUnbalance.getCode()); + phaseList = Arrays.asList(pqReasonableRangeDto.getPhaseType().split(",")); + if (phaseList.contains(dto.getPhasicType())) { + if (dto.getVUnbalance() < pqReasonableRangeDto.getMinValue() || dto.getVUnbalance() > pqReasonableRangeDto.getMaxValue()) { + //log.info("dataV-电压不平衡度数据异常,已清洗!数据值:{},数据时间:{}", dto.getVUnbalance(), dto.getMinTime()); + PqDataVerify pqDataVerify = getPqDataVerify(dto.getLineId() + ,dto.getMinTime() + ,dto.getValueType() + ,dto.getPhasicType() + ,pqReasonableRangeDto.getIndexCode() + ,pqReasonableRangeDto.getIndexName() + ,pqReasonableRangeDto.getInfluxdbTableName() + ,dto.getVUnbalance() + ,pqReasonableRangeDto.getMinValue() + ,pqReasonableRangeDto.getMaxValue()); + list.add(pqDataVerify); + } + } + + //线电压有效值 + pqReasonableRangeDto = map.get(DataCleanEnum.RmsLvr.getCode()); + phaseList = Arrays.asList(pqReasonableRangeDto.getPhaseType().split(",")); + if (phaseList.contains(dto.getPhasicType())) { + if (dto.getRmsLvr() < (pqReasonableRangeDto.getMinValue()*DataCommonUtils.getVoltageData(line.getVoltageLevel())) + || dto.getRmsLvr() > (pqReasonableRangeDto.getMaxValue()*DataCommonUtils.getVoltageData(line.getVoltageLevel()))) { + //log.info("dataV-线电压有效值数据异常,已清洗!数据值:{},数据时间:{}", dto.getRmsLvr(), dto.getMinTime()); + PqDataVerify pqDataVerify = getPqDataVerify(dto.getLineId() + ,dto.getMinTime() + ,dto.getValueType() + ,dto.getPhasicType() + ,pqReasonableRangeDto.getIndexCode() + ,pqReasonableRangeDto.getIndexName() + ,pqReasonableRangeDto.getInfluxdbTableName() + ,dto.getRmsLvr() + ,pqReasonableRangeDto.getMinValue()*DataCommonUtils.getVoltageData(line.getVoltageLevel()) + ,pqReasonableRangeDto.getMaxValue()*DataCommonUtils.getVoltageData(line.getVoltageLevel())); + list.add(pqDataVerify); + } + } + + //线电压正偏差 + pqReasonableRangeDto = map.get(DataCleanEnum.VuDev.getCode()); + phaseList = Arrays.asList(pqReasonableRangeDto.getPhaseType().split(",")); + if (phaseList.contains(dto.getPhasicType())) { + if (dto.getVuDev() < pqReasonableRangeDto.getMinValue() || dto.getVuDev() > pqReasonableRangeDto.getMaxValue()) { + //log.info("dataV-线电压正偏差数据异常,已清洗!数据值:{},数据时间:{}", dto.getVuDev(), dto.getMinTime()); + PqDataVerify pqDataVerify = getPqDataVerify(dto.getLineId() + ,dto.getMinTime() + ,dto.getValueType() + ,dto.getPhasicType() + ,pqReasonableRangeDto.getIndexCode() + ,pqReasonableRangeDto.getIndexName() + ,pqReasonableRangeDto.getInfluxdbTableName() + ,dto.getVuDev() + ,pqReasonableRangeDto.getMinValue() + ,pqReasonableRangeDto.getMaxValue()); + list.add(pqDataVerify); + } + } + + //线电压负偏差 + pqReasonableRangeDto = map.get(DataCleanEnum.VlDev.getCode()); + phaseList = Arrays.asList(pqReasonableRangeDto.getPhaseType().split(",")); + if (phaseList.contains(dto.getPhasicType())) { + if (dto.getVlDev() < pqReasonableRangeDto.getMinValue() || dto.getVlDev() > pqReasonableRangeDto.getMaxValue()) { + //log.info("dataV-线电压负偏差数据异常,已清洗!数据值:{},数据时间:{}", dto.getVlDev(), dto.getMinTime()); + PqDataVerify pqDataVerify = getPqDataVerify(dto.getLineId() + ,dto.getMinTime() + ,dto.getValueType() + ,dto.getPhasicType() + ,pqReasonableRangeDto.getIndexCode() + ,pqReasonableRangeDto.getIndexName() + ,pqReasonableRangeDto.getInfluxdbTableName() + ,dto.getVlDev() + ,pqReasonableRangeDto.getMinValue() + ,pqReasonableRangeDto.getMaxValue()); + list.add(pqDataVerify); + } + } + + //电压总谐波畸变率 + pqReasonableRangeDto = map.get(DataCleanEnum.VThd.getCode()); + phaseList = Arrays.asList(pqReasonableRangeDto.getPhaseType().split(",")); + if (phaseList.contains(dto.getPhasicType())) { + if (dto.getVThd() < pqReasonableRangeDto.getMinValue() || dto.getVThd() > pqReasonableRangeDto.getMaxValue()) { + //log.info("dataV-电压总谐波畸变率数据异常,已清洗!数据值:{},数据时间:{}", dto.getVThd(), dto.getMinTime()); + PqDataVerify pqDataVerify = getPqDataVerify(dto.getLineId() + ,dto.getMinTime() + ,dto.getValueType() + ,dto.getPhasicType() + ,pqReasonableRangeDto.getIndexCode() + ,pqReasonableRangeDto.getIndexName() + ,pqReasonableRangeDto.getInfluxdbTableName() + ,dto.getVThd() + ,pqReasonableRangeDto.getMinValue() + ,pqReasonableRangeDto.getMaxValue()); + list.add(pqDataVerify); + } + } + + //相（线）电压基波有效值 + pqReasonableRangeDto = map.get(DataCleanEnum.V_Data.getCode()); + phaseList = Arrays.asList(pqReasonableRangeDto.getPhaseType().split(",")); + if (phaseList.contains(dto.getPhasicType())) { + if (dto.getV1() < (pqReasonableRangeDto.getMinValue()*DataCommonUtils.getVoltageData(line.getVoltageLevel())) + || dto.getV1() > (pqReasonableRangeDto.getMaxValue()*DataCommonUtils.getVoltageData(line.getVoltageLevel()))) { + //log.info("dataV-基波电压数据异常,已清洗!数据值:{},数据时间:{}", dto.getV1(), dto.getMinTime()); + PqDataVerify pqDataVerify = getPqDataVerify(dto.getLineId() + ,dto.getMinTime() + ,dto.getValueType() + ,dto.getPhasicType() + ,pqReasonableRangeDto.getIndexCode() + ,pqReasonableRangeDto.getIndexName() + ,pqReasonableRangeDto.getInfluxdbTableName() + ,dto.getV1() + ,pqReasonableRangeDto.getMinValue()*DataCommonUtils.getVoltageData(line.getVoltageLevel()) + ,pqReasonableRangeDto.getMaxValue()*DataCommonUtils.getVoltageData(line.getVoltageLevel())); + list.add(pqDataVerify); + } + } + return list; + } + + /** + * 获取数据的标准范围，进行数据比对 + */ + public List judgeDataI(Map map, LineDetailVO.Detail line, DataIDto dto) { + List list = new ArrayList<>(); + PqReasonableRangeDto pqReasonableRangeDto; + List phaseList; + //线电压有效值 + pqReasonableRangeDto = map.get(DataCleanEnum.RmsI.getCode()); + phaseList = Arrays.asList(pqReasonableRangeDto.getPhaseType().split(",")); + if (phaseList.contains(dto.getPhasicType())) { + if (dto.getRms() > line.getCT1()) { + PqDataVerify pqDataVerify = getPqDataVerify(dto.getLineId() + ,dto.getMinTime() + ,dto.getValueType() + ,dto.getPhasicType() + ,pqReasonableRangeDto.getIndexCode() + ,pqReasonableRangeDto.getIndexName() + ,pqReasonableRangeDto.getInfluxdbTableName() + ,dto.getRms() + ,pqReasonableRangeDto.getMinValue() + ,line.getCT1()); + list.add(pqDataVerify); + } + } + return list; + } + + /** + * 获取数据的标准范围，进行数据比对 + */ + public List judgeDataPlt(Map map, DataPltDto dto) { + List list = new ArrayList<>(); + PqReasonableRangeDto pqReasonableRangeDto; + List phaseList; + //线电压有效值 + pqReasonableRangeDto = map.get(DataCleanEnum.Plt.getCode()); + phaseList = Arrays.asList(pqReasonableRangeDto.getPhaseType().split(",")); + if (phaseList.contains(dto.getPhasicType())) { + if (dto.getPlt() < pqReasonableRangeDto.getMinValue() || dto.getPlt() > pqReasonableRangeDto.getMaxValue()) { + PqDataVerify pqDataVerify = getPqDataVerify(dto.getLineId() + ,dto.getMinTime() + ,dto.getValueType() + ,dto.getPhasicType() + ,pqReasonableRangeDto.getIndexCode() + ,pqReasonableRangeDto.getIndexName() + ,pqReasonableRangeDto.getInfluxdbTableName() + ,dto.getPlt() + ,pqReasonableRangeDto.getMinValue() + ,pqReasonableRangeDto.getMaxValue()); + list.add(pqDataVerify); + } + } + return list; + } + + /** + * 获取数据的标准范围，进行数据比对 + */ + public List judgeDataInHarmV(Map map, DataHarmDto dto) { + List list = new ArrayList<>(); + PqReasonableRangeDto pqReasonableRangeDto = map.get(DataCleanEnum.V_InHarm.getCode()); + List phaseList = Arrays.asList(pqReasonableRangeDto.getPhaseType().split(",")); + if (phaseList.contains(dto.getPhasicType())) { + // 50次谐波 + for (int i = 1; i <= 50; i++) { + // 通过反射获取dto.getV(i)的值 + double vValue = getVValue(dto, i); + if (vValue < pqReasonableRangeDto.getMinValue() || vValue > pqReasonableRangeDto.getMaxValue()) { + PqDataVerify pqDataVerify = getPqDataVerify( + dto.getLineId(), + dto.getMinTime(), + dto.getValueType(), + dto.getPhasicType(), + pqReasonableRangeDto.getIndexCode(), + (i - 0.5) + pqReasonableRangeDto.getIndexName(), + pqReasonableRangeDto.getInfluxdbTableName(), + vValue, + pqReasonableRangeDto.getMinValue(), + pqReasonableRangeDto.getMaxValue() + ); + list.add(pqDataVerify); + } + } + } + return list; + } + + /** + * 获取数据的标准范围，进行数据比对 + */ + public List judgeDataHarmRateV(Map map, DataHarmDto dto) { + List list = new ArrayList<>(); + PqReasonableRangeDto pqReasonableRangeDto = map.get(DataCleanEnum.V_Rate.getCode()); + List phaseList = Arrays.asList(pqReasonableRangeDto.getPhaseType().split(",")); + if (phaseList.contains(dto.getPhasicType())) { + // 50次谐波 + for (int i = 2; i <= 50; i++) { + // 通过反射获取dto.getV(i)的值 + double vValue = getVValue(dto, i); + if (vValue < pqReasonableRangeDto.getMinValue() || vValue > pqReasonableRangeDto.getMaxValue()) { + PqDataVerify pqDataVerify = getPqDataVerify( + dto.getLineId(), + dto.getMinTime(), + dto.getValueType(), + dto.getPhasicType(), + pqReasonableRangeDto.getIndexCode(), + i + pqReasonableRangeDto.getIndexName(), + pqReasonableRangeDto.getInfluxdbTableName(), + vValue, + pqReasonableRangeDto.getMinValue(), + pqReasonableRangeDto.getMaxValue() + ); + list.add(pqDataVerify); + } + } + } + return list; + } + + /** + * 获取数据的标准范围，进行数据比对 + */ + public List judgeDataHarmPowerP(Map map, DataPowerPDto dto) { + List list = new ArrayList<>(); + PqReasonableRangeDto pqReasonableRangeDto = map.get(DataCleanEnum.Pf.getCode()); + List phaseList = Arrays.asList(pqReasonableRangeDto.getPhaseType().split(",")); + if (phaseList.contains(dto.getPhasicType())) { + if (dto.getPf() < pqReasonableRangeDto.getMinValue() || dto.getPf() > pqReasonableRangeDto.getMaxValue()) { + PqDataVerify pqDataVerify = getPqDataVerify(dto.getLineId() + ,dto.getMinTime() + ,dto.getValueType() + ,dto.getPhasicType() + ,pqReasonableRangeDto.getIndexCode() + ,pqReasonableRangeDto.getIndexName() + ,pqReasonableRangeDto.getInfluxdbTableName() + ,dto.getPf() + ,pqReasonableRangeDto.getMinValue() + ,pqReasonableRangeDto.getMaxValue()); + list.add(pqDataVerify); + } + } + return list; + } + + /** + * 获取数据的标准范围，进行数据比对 + */ + public List judgeDataHarmPhasicV(Map map, DataHarmDto dto) { + List list = new ArrayList<>(); + PqReasonableRangeDto pqReasonableRangeDto = map.get(DataCleanEnum.V.getCode()); + List phaseList = Arrays.asList(pqReasonableRangeDto.getPhaseType().split(",")); + if (phaseList.contains(dto.getPhasicType())) { + // 50次谐波 + for (int i = 1; i <= 50; i++) { + // 通过反射获取dto.getV(i)的值 + double vValue = getVValue(dto, i); + if (vValue < pqReasonableRangeDto.getMinValue() || vValue > pqReasonableRangeDto.getMaxValue()) { + PqDataVerify pqDataVerify = getPqDataVerify( + dto.getLineId(), + dto.getMinTime(), + dto.getValueType(), + dto.getPhasicType(), + pqReasonableRangeDto.getIndexCode(), + i + pqReasonableRangeDto.getIndexName(), + pqReasonableRangeDto.getInfluxdbTableName(), + vValue, + pqReasonableRangeDto.getMinValue(), + pqReasonableRangeDto.getMaxValue() + ); + list.add(pqDataVerify); + } + } + } + return list; + } + + /** + * 获取数据的标准范围，进行数据比对 + */ + public List judgeDataFluc(Map map, DataFlucDto dto) { + List list = new ArrayList<>(); + PqReasonableRangeDto pqReasonableRangeDto = map.get(DataCleanEnum.Fluc.getCode()); + List phaseList = Arrays.asList(pqReasonableRangeDto.getPhaseType().split(",")); + if (phaseList.contains(dto.getPhasicType())) { + if (dto.getFluc() < pqReasonableRangeDto.getMinValue() || dto.getFluc() > pqReasonableRangeDto.getMaxValue()) { + PqDataVerify pqDataVerify = getPqDataVerify(dto.getLineId() + ,dto.getMinTime() + ,dto.getValueType() + ,dto.getPhasicType() + ,pqReasonableRangeDto.getIndexCode() + ,pqReasonableRangeDto.getIndexName() + ,pqReasonableRangeDto.getInfluxdbTableName() + ,dto.getFluc() + ,pqReasonableRangeDto.getMinValue() + ,pqReasonableRangeDto.getMaxValue()); + list.add(pqDataVerify); + } + } + return list; + } + + /** + * 获取数据的标准范围，进行数据比对 + */ + public List judgeDataFlicker(Map map, DataFlickerDto dto) { + List list = new ArrayList<>(); + PqReasonableRangeDto pqReasonableRangeDto = map.get(DataCleanEnum.Pst.getCode()); + List phaseList = Arrays.asList(pqReasonableRangeDto.getPhaseType().split(",")); + if (phaseList.contains(dto.getPhasicType())) { + if (dto.getPst() < pqReasonableRangeDto.getMinValue() || dto.getPst() > pqReasonableRangeDto.getMaxValue()) { + PqDataVerify pqDataVerify = getPqDataVerify(dto.getLineId() + ,dto.getMinTime() + ,dto.getValueType() + ,dto.getPhasicType() + ,pqReasonableRangeDto.getIndexCode() + ,pqReasonableRangeDto.getIndexName() + ,pqReasonableRangeDto.getInfluxdbTableName() + ,dto.getPst() + ,pqReasonableRangeDto.getMinValue() + ,pqReasonableRangeDto.getMaxValue()); + list.add(pqDataVerify); + } + } + return list; + } + + + public PqDataVerify getPqDataVerify(String lineId,String time,String valueType, String phasicType, String indexCode, String indexName, String indexTable, Double data, Double minValue, Double maxValue) { + PqDataVerify pqDataVerify = new PqDataVerify(); + pqDataVerify.setLineId(lineId); + pqDataVerify.setTime(TimeUtils.StringToLocalDateTime(time)); + pqDataVerify.setValueType(valueType); + pqDataVerify.setPhasicType(phasicType); + pqDataVerify.setIndexCode(indexCode); + pqDataVerify.setIndexName(indexName); + pqDataVerify.setIndexTable(indexTable); + //这里对数据进行判断，如果值过大，都超出数据库存储范围会报错，无法插入，所以这里设置门槛 上下限都为1千万 + if (data > 10000000.0) { + pqDataVerify.setAbnormalValue(9999999.0); + } else if (data < -10000000.0) { + pqDataVerify.setAbnormalValue(-9999999.0); + } else { + pqDataVerify.setAbnormalValue(data); + } + pqDataVerify.setMinValue(minValue); + pqDataVerify.setMaxValue(maxValue); + return pqDataVerify; + } + + private double getVValue(DataHarmDto dto, int index) { + try { + Method method = DataHarmDto.class.getMethod("getV" + index); + return (double) method.invoke(dto); + } catch (Exception e) { + throw new RuntimeException("Failed to get V value for index: " + index, e); + } + } + } \ No newline at end of file diff --git a/algorithm/algorithm-boot/src/main/java/com/njcn/algorithm/serviceimpl/line/DayDataServiceImpl.java b/algorithm/algorithm-boot/src/main/java/com/njcn/algorithm/serviceimpl/line/DayDataServiceImpl.java index 7e83d25..a3844a0 100644 --- a/algorithm/algorithm-boot/src/main/java/com/njcn/algorithm/serviceimpl/line/DayDataServiceImpl.java +++ b/algorithm/algorithm-boot/src/main/java/com/njcn/algorithm/serviceimpl/line/DayDataServiceImpl.java @@ -3,12 +3,14 @@ package com.njcn.algorithm.serviceimpl.line; import cn.hutool.core.collection.CollUtil; import com.njcn.algorithm.pojo.bo.CalculatedParam; import com.njcn.algorithm.service.line.IDayDataService; -import com.njcn.dataProcess.api.DataVFeignClient; +import com.njcn.dataProcess.api.*; +import com.njcn.dataProcess.enums.DataCleanEnum; import com.njcn.dataProcess.param.LineCountEvaluateParam; -import com.njcn.dataProcess.pojo.dto.CommonMinuteDto; -import com.njcn.dataProcess.pojo.dto.DataVDto; +import com.njcn.dataProcess.pojo.dto.*; +import com.njcn.dataProcess.pojo.po.PqDataVerify; import com.njcn.dataProcess.util.TimeUtils; import com.njcn.influx.constant.InfluxDbSqlConstant; +import com.njcn.influx.pojo.po.DataHarmPowerQ; import lombok.RequiredArgsConstructor; import lombok.extern.slf4j.Slf4j; import org.apache.commons.collections4.ListUtils; @@ -19,6 +21,7 @@ import org.springframework.stereotype.Component; import javax.annotation.Resource; import java.time.LocalDateTime; import java.util.*; +import java.util.stream.Collectors; /** * @author xy @@ -32,10 +35,28 @@ public class DayDataServiceImpl implements IDayDataService { private final static Integer NUM = 100; @Resource private DataVFeignClient dataVFeignClient; + @Resource + private DataIFeignClient dataIFeignClient; + @Resource + private DataFlickerFeignClient dataFlickerFeignClient; + @Resource + private DataFlucFeignClient dataFlucFeignClient; + @Resource + private DataHarmphasicIFeignClient dataHarmphasicIFeignClient; + @Resource + private DataHarmphasicVFeignClient dataHarmphasicVFeignClient; + @Resource + private DataHarmpowerPFeignClient dataHarmpowerPFeignClient; + @Resource + private DataHarmpowerQFeignClient dataHarmpowerQFeignClient; + + + @Resource + private PqDataVerifyFeignClient pqDataVerifyFeignClient; @Override public void dataVHandler(CalculatedParam calculatedParam) { - logger.info("{},dataV表转r_stat_data_v_d开始=====》", LocalDateTime.now()); + logger.info("{},dataV表转r_stat_data_v_d算法开始=====》", LocalDateTime.now()); List result = new ArrayList<>(); //远程接口获取分钟数据 LineCountEvaluateParam lineParam = new LineCountEvaluateParam(); @@ -45,6 +66,9 @@ public class DayDataServiceImpl implements IDayDataService { List> pendingIds = ListUtils.partition(calculatedParam.getIdList(),NUM); pendingIds.forEach(list->{ lineParam.setLineId(list); + //添加异常数据时间点 + getAbnormalData(lineParam); + //获取原始数据 List partList = dataVFeignClient.getBaseData(lineParam).getData(); if (CollUtil.isNotEmpty(partList)) { partList.forEach(item->{ @@ -61,7 +85,7 @@ public class DayDataServiceImpl implements IDayDataService { dto.setLineId(item.getLineId()); dto.setPhasicType(item2.getPhasicType()); dto.setValueType(item3.getValueType()); - dto.setQualityFlag("0"); + dto.setQualityFlag(Objects.equals(item.getQualityFlag(),"null") ? "0" : item.getQualityFlag()); channelDataVHandler(item3,valueTypes,dto,true); result.add(dto); }); @@ -75,86 +99,779 @@ public class DayDataServiceImpl implements IDayDataService { } } + @Override + public void dataIHandler(CalculatedParam calculatedParam) { + logger.info("{},dataI表转r_stat_data_i_d算法开始=====》", LocalDateTime.now()); + List result = new ArrayList<>(); + //远程接口获取分钟数据 + LineCountEvaluateParam lineParam = new LineCountEvaluateParam(); + lineParam.setStartTime(TimeUtils.getBeginOfDay(calculatedParam.getDataDate())); + lineParam.setEndTime(TimeUtils.getEndOfDay(calculatedParam.getDataDate())); + //以100个监测点分片处理 + List> pendingIds = ListUtils.partition(calculatedParam.getIdList(),NUM); + pendingIds.forEach(list->{ + lineParam.setLineId(list); + //添加异常数据时间点 + getAbnormalData(lineParam); + //获取原始数据 + List partList = dataIFeignClient.getBaseData(lineParam).getData(); + if (CollUtil.isNotEmpty(partList)) { + partList.forEach(item->{ + //相别 + List phasicTypeList = item.getPhasicTypeList(); + phasicTypeList.forEach(item2->{ + //数据类型 + List valueTypeList = item2.getValueTypeList(); + //获取平均值集合 + CommonMinuteDto.ValueType valueTypes = valueTypeList.stream().filter(type-> type.getValueType().equalsIgnoreCase(InfluxDbSqlConstant.AVG_WEB)).findFirst().orElse(null); + valueTypeList.forEach(item3->{ + DataIDto dto = new DataIDto(); + dto.setTime(item.getTime()); + dto.setLineId(item.getLineId()); + dto.setPhasicType(item2.getPhasicType()); + dto.setValueType(item3.getValueType()); + dto.setQualityFlag(Objects.equals(item.getQualityFlag(),"null") ? "0" : item.getQualityFlag()); + channelDataIHandler(item3,valueTypes,dto,true); + result.add(dto); + }); + }); + }); + } + }); + if (CollUtil.isNotEmpty(result)) { + //存储数据 + dataIFeignClient.addList(result); + } + } + + @Override + public void dataFlickerHandler(CalculatedParam calculatedParam) { + logger.info("{},dataFlicker表转r_stat_data_flicker_d算法开始=====》", LocalDateTime.now()); + List valueList = Arrays.asList("AVG","MAX","MIN","CP95"); + List result = new ArrayList<>(); + //远程接口获取分钟数据 + LineCountEvaluateParam lineParam = new LineCountEvaluateParam(); + lineParam.setStartTime(TimeUtils.getBeginOfDay(calculatedParam.getDataDate())); + lineParam.setEndTime(TimeUtils.getEndOfDay(calculatedParam.getDataDate())); + //以100个监测点分片处理 + List> pendingIds = ListUtils.partition(calculatedParam.getIdList(),NUM); + pendingIds.forEach(list->{ + lineParam.setLineId(list); + //添加异常数据时间点 + getAbnormalData(lineParam); + //获取原始数据 + List partList = dataFlickerFeignClient.getBaseData(lineParam).getData(); + if (CollUtil.isNotEmpty(partList)) { + partList.forEach(item->{ + //相别 + List phasicTypeList = item.getPhasicTypeList(); + phasicTypeList.forEach(item2->{ + //数据类型 + List valueTypeList = item2.getValueTypeList(); + valueTypeList.forEach(item3->{ + valueList.forEach(item4->{ + DataFlickerDto dto = new DataFlickerDto(); + dto.setTime(item.getTime()); + dto.setLineId(item.getLineId()); + dto.setPhasicType(item2.getPhasicType()); + dto.setValueType(item4); + dto.setQualityFlag(Objects.equals(item.getQualityFlag(),"null") ? "0" : item.getQualityFlag()); + channelDataFlickerHandler(item3,dto,item4,true); + result.add(dto); + }); + }); + }); + }); + } + }); + if (CollUtil.isNotEmpty(result)) { + //存储数据 + dataFlickerFeignClient.addList(result); + } + } + + @Override + public void dataFlucHandler(CalculatedParam calculatedParam) { + logger.info("{},dataFluc表转r_stat_data_fluc_d算法开始=====》", LocalDateTime.now()); + List valueList = Arrays.asList("AVG","MAX","MIN","CP95"); + List result = new ArrayList<>(); + //远程接口获取分钟数据 + LineCountEvaluateParam lineParam = new LineCountEvaluateParam(); + lineParam.setStartTime(TimeUtils.getBeginOfDay(calculatedParam.getDataDate())); + lineParam.setEndTime(TimeUtils.getEndOfDay(calculatedParam.getDataDate())); + //以100个监测点分片处理 + List> pendingIds = ListUtils.partition(calculatedParam.getIdList(),NUM); + pendingIds.forEach(list->{ + lineParam.setLineId(list); + //添加异常数据时间点 + getAbnormalData(lineParam); + //获取原始数据 + List partList = dataFlucFeignClient.getBaseData(lineParam).getData(); + if (CollUtil.isNotEmpty(partList)) { + partList.forEach(item->{ + //相别 + List phasicTypeList = item.getPhasicTypeList(); + phasicTypeList.forEach(item2->{ + //数据类型 + List valueTypeList = item2.getValueTypeList(); + valueTypeList.forEach(item3->{ + valueList.forEach(item4->{ + DataFlucDto dto = new DataFlucDto(); + dto.setTime(item.getTime()); + dto.setLineId(item.getLineId()); + dto.setPhasicType(item2.getPhasicType()); + dto.setValueType(item4); + dto.setQualityFlag(Objects.equals(item.getQualityFlag(),"null") ? "0" : item.getQualityFlag()); + channelDataFlucHandler(item3,dto,item4,true); + result.add(dto); + }); + }); + }); + }); + } + }); + if (CollUtil.isNotEmpty(result)) { + //存储数据 + dataFlucFeignClient.addList(result); + } + } + + @Override + public void dataHarmPhasicIHandler(CalculatedParam calculatedParam) { + logger.info("{},dataHarmPhasicI表转r_stat_data_harmphasic_i_d算法开始=====》", LocalDateTime.now()); + List result = new ArrayList<>(); + //远程接口获取分钟数据 + LineCountEvaluateParam lineParam = new LineCountEvaluateParam(); + lineParam.setStartTime(TimeUtils.getBeginOfDay(calculatedParam.getDataDate())); + lineParam.setEndTime(TimeUtils.getEndOfDay(calculatedParam.getDataDate())); + //以100个监测点分片处理 + List> pendingIds = ListUtils.partition(calculatedParam.getIdList(),NUM); + pendingIds.forEach(list->{ + lineParam.setLineId(list); + //添加异常数据时间点 + getAbnormalData(lineParam); + //获取原始数据 + List partList = dataHarmphasicIFeignClient.getBaseData(lineParam).getData(); + if (CollUtil.isNotEmpty(partList)) { + partList.forEach(item->{ + //相别 + List phasicTypeList = item.getPhasicTypeList(); + phasicTypeList.forEach(item2->{ + //数据类型 + List valueTypeList = item2.getValueTypeList(); + //获取平均值集合 + CommonMinuteDto.ValueType valueTypes = valueTypeList.stream().filter(type-> type.getValueType().equalsIgnoreCase(InfluxDbSqlConstant.AVG_WEB)).findFirst().orElse(null); + valueTypeList.forEach(item3->{ + DataHarmPhasicIDto dto = new DataHarmPhasicIDto(); + dto.setTime(item.getTime()); + dto.setLineId(item.getLineId()); + dto.setPhasicType(item2.getPhasicType()); + dto.setValueType(item3.getValueType()); + dto.setQualityFlag(Objects.equals(item.getQualityFlag(),"null") ? "0" : item.getQualityFlag()); + channelDataHarmPhasicIHandler(item3,valueTypes,dto,true); + result.add(dto); + }); + }); + }); + } + }); + if (CollUtil.isNotEmpty(result)) { + //存储数据 + dataHarmphasicIFeignClient.addList(result); + } + } + + @Override + public void dataHarmPhasicVHandler(CalculatedParam calculatedParam) { + logger.info("{},dataHarmPhasicV表转r_stat_data_harmphasic_v_d算法开始=====》", LocalDateTime.now()); + List result = new ArrayList<>(); + //远程接口获取分钟数据 + LineCountEvaluateParam lineParam = new LineCountEvaluateParam(); + lineParam.setStartTime(TimeUtils.getBeginOfDay(calculatedParam.getDataDate())); + lineParam.setEndTime(TimeUtils.getEndOfDay(calculatedParam.getDataDate())); + //以100个监测点分片处理 + List> pendingIds = ListUtils.partition(calculatedParam.getIdList(),NUM); + pendingIds.forEach(list->{ + lineParam.setLineId(list); + //添加异常数据时间点 + getAbnormalData(lineParam); + //获取原始数据 + List partList = dataHarmphasicVFeignClient.getBaseData(lineParam).getData(); + if (CollUtil.isNotEmpty(partList)) { + partList.forEach(item->{ + //相别 + List phasicTypeList = item.getPhasicTypeList(); + phasicTypeList.forEach(item2->{ + //数据类型 + List valueTypeList = item2.getValueTypeList(); + //获取平均值集合 + CommonMinuteDto.ValueType valueTypes = valueTypeList.stream().filter(type-> type.getValueType().equalsIgnoreCase(InfluxDbSqlConstant.AVG_WEB)).findFirst().orElse(null); + valueTypeList.forEach(item3->{ + DataHarmPhasicVDto dto = new DataHarmPhasicVDto(); + dto.setTime(item.getTime()); + dto.setLineId(item.getLineId()); + dto.setPhasicType(item2.getPhasicType()); + dto.setValueType(item3.getValueType()); + dto.setQualityFlag(Objects.equals(item.getQualityFlag(),"null") ? "0" : item.getQualityFlag()); + channelDataHarmPhasicVHandler(item3,valueTypes,dto,true); + result.add(dto); + }); + }); + }); + } + }); + if (CollUtil.isNotEmpty(result)) { + //存储数据 + dataHarmphasicVFeignClient.addList(result); + } + } + + @Override + public void dataHarmPowerPHandler(CalculatedParam calculatedParam) { + logger.info("{},dataHarmPowerP表转r_stat_data_harmpower_p_d算法开始=====》", LocalDateTime.now()); + List result = new ArrayList<>(); + //远程接口获取分钟数据 + LineCountEvaluateParam lineParam = new LineCountEvaluateParam(); + lineParam.setStartTime(TimeUtils.getBeginOfDay(calculatedParam.getDataDate())); + lineParam.setEndTime(TimeUtils.getEndOfDay(calculatedParam.getDataDate())); + //以100个监测点分片处理 + List> pendingIds = ListUtils.partition(calculatedParam.getIdList(),NUM); + pendingIds.forEach(list->{ + lineParam.setLineId(list); + //添加异常数据时间点 + getAbnormalData(lineParam); + //获取原始数据 + List partList = dataHarmpowerPFeignClient.getBaseData(lineParam).getData(); + if (CollUtil.isNotEmpty(partList)) { + partList.forEach(item->{ + //相别 + List phasicTypeList = item.getPhasicTypeList(); + phasicTypeList.forEach(item2->{ + //数据类型 + List valueTypeList = item2.getValueTypeList(); + //获取平均值集合 + CommonMinuteDto.ValueType valueTypes = valueTypeList.stream().filter(type-> type.getValueType().equalsIgnoreCase(InfluxDbSqlConstant.AVG_WEB)).findFirst().orElse(null); + valueTypeList.forEach(item3->{ + DataHarmPowerPDto dto = new DataHarmPowerPDto(); + dto.setTime(item.getTime()); + dto.setLineId(item.getLineId()); + dto.setPhasicType(item2.getPhasicType()); + dto.setValueType(item3.getValueType()); + dto.setQualityFlag(Objects.equals(item.getQualityFlag(),"null") ? "0" : item.getQualityFlag()); + channelDataHarmPowerPHandler(item3,valueTypes,dto,true); + result.add(dto); + }); + }); + }); + } + }); + if (CollUtil.isNotEmpty(result)) { + //存储数据 + dataHarmpowerPFeignClient.addList(result); + } + } + + @Override + public void dataHarmPowerQHandler(CalculatedParam calculatedParam) { + logger.info("{},dataHarmPowerQ表转r_stat_data_harmpower_q_d算法开始=====》", LocalDateTime.now()); + List result = new ArrayList<>(); + //远程接口获取分钟数据 + LineCountEvaluateParam lineParam = new LineCountEvaluateParam(); + lineParam.setStartTime(TimeUtils.getBeginOfDay(calculatedParam.getDataDate())); + lineParam.setEndTime(TimeUtils.getEndOfDay(calculatedParam.getDataDate())); + //以100个监测点分片处理 + List> pendingIds = ListUtils.partition(calculatedParam.getIdList(),NUM); + pendingIds.forEach(list->{ + lineParam.setLineId(list); + //添加异常数据时间点 + getAbnormalData(lineParam); + //获取原始数据 + List partList = dataHarmpowerQFeignClient.getBaseData(lineParam).getData(); + if (CollUtil.isNotEmpty(partList)) { + partList.forEach(item->{ + //相别 + List phasicTypeList = item.getPhasicTypeList(); + phasicTypeList.forEach(item2->{ + //数据类型 + List valueTypeList = item2.getValueTypeList(); + //获取平均值集合 + CommonMinuteDto.ValueType valueTypes = valueTypeList.stream().filter(type-> type.getValueType().equalsIgnoreCase(InfluxDbSqlConstant.AVG_WEB)).findFirst().orElse(null); + valueTypeList.forEach(item3->{ + DataHarmPowerQDto dto = new DataHarmPowerQDto(); + dto.setTime(item.getTime()); + dto.setLineId(item.getLineId()); + dto.setPhasicType(item2.getPhasicType()); + dto.setValueType(item3.getValueType()); + dto.setQualityFlag(Objects.equals(item.getQualityFlag(),"null") ? "0" : item.getQualityFlag()); + channelDataHarmPowerQHandler(item3,valueTypes,dto,true); + result.add(dto); + }); + }); + }); + } + }); + if (CollUtil.isNotEmpty(result)) { + //存储数据 + dataHarmpowerQFeignClient.addList(result); + } + + } + + //获取异常数据集合 + public void getAbnormalData(LineCountEvaluateParam lineParam) { + lineParam.setTableName(DataCleanEnum.DataV.getCode()); + // 获取异常数据，用于排除异常数据 + List pqDataVerifies = pqDataVerifyFeignClient.queryData(lineParam).getData(); + if (CollUtil.isNotEmpty(pqDataVerifies)) { + Map> timeMap = pqDataVerifies.stream() + .collect(Collectors.groupingBy( + PqDataVerify::getLineId, + Collectors.mapping(item->TimeUtils.LocalDateTimeToString(item.getTime()), Collectors.toList()) + )); + lineParam.setAbnormalTime(timeMap); + } + } //指标处理 //pojo1 为正常数据集合 //pojo2 为平均值数据集合，根据不同情况用来计算cp95 public void channelDataVHandler(CommonMinuteDto.ValueType pojo1, CommonMinuteDto.ValueType pojo2, DataVDto dto, boolean scheme) { CommonMinuteDto.ValueType valueType; + String type; if (dto.getValueType().equalsIgnoreCase(InfluxDbSqlConstant.CP95) && !scheme) { valueType = pojo2; + type = "CP95"; } else { valueType = pojo1; + type = pojo1.getValueType(); } //按照指标集合排列顺序取值 - dto.setFreq(getData(valueType.getValueType(),valueType.getValueList().get(0),scheme)); - dto.setFreqDev(getData(valueType.getValueType(),valueType.getValueList().get(1),scheme)); - dto.setRms(getData(valueType.getValueType(),valueType.getValueList().get(2),scheme)); - dto.setRmsLvr(getData(valueType.getValueType(),valueType.getValueList().get(3),scheme)); - dto.setVNeg(getData(valueType.getValueType(),valueType.getValueList().get(4),scheme)); - dto.setVPos(getData(valueType.getValueType(),valueType.getValueList().get(5),scheme)); - dto.setVThd(getData(valueType.getValueType(),valueType.getValueList().get(6),scheme)); - dto.setVUnbalance(getData(valueType.getValueType(),valueType.getValueList().get(7),scheme)); - dto.setVZero(getData(valueType.getValueType(),valueType.getValueList().get(8),scheme)); - dto.setVlDev(getData(valueType.getValueType(),valueType.getValueList().get(9),scheme)); - dto.setVuDev(getData(valueType.getValueType(),valueType.getValueList().get(10),scheme)); + dto.setFreq(getData(type,valueType.getValueList().get(0),scheme)); + dto.setFreqDev(getData(type,valueType.getValueList().get(1),scheme)); + dto.setRms(getData(type,valueType.getValueList().get(2),scheme)); + dto.setRmsLvr(getData(type,valueType.getValueList().get(3),scheme)); + dto.setVNeg(getData(type,valueType.getValueList().get(4),scheme)); + dto.setVPos(getData(type,valueType.getValueList().get(5),scheme)); + dto.setVThd(getData(type,valueType.getValueList().get(6),scheme)); + dto.setVUnbalance(getData(type,valueType.getValueList().get(7),scheme)); + dto.setVZero(getData(type,valueType.getValueList().get(8),scheme)); + dto.setVlDev(getData(type,valueType.getValueList().get(9),scheme)); + dto.setVuDev(getData(type,valueType.getValueList().get(10),scheme)); - dto.setV1(getData(valueType.getValueType(),valueType.getValueList().get(11),scheme)); - dto.setV2(getData(valueType.getValueType(),valueType.getValueList().get(12),scheme)); - dto.setV3(getData(valueType.getValueType(),valueType.getValueList().get(13),scheme)); - dto.setV4(getData(valueType.getValueType(),valueType.getValueList().get(14),scheme)); - dto.setV5(getData(valueType.getValueType(),valueType.getValueList().get(15),scheme)); - dto.setV6(getData(valueType.getValueType(),valueType.getValueList().get(16),scheme)); - dto.setV7(getData(valueType.getValueType(),valueType.getValueList().get(17),scheme)); - dto.setV8(getData(valueType.getValueType(),valueType.getValueList().get(18),scheme)); - dto.setV9(getData(valueType.getValueType(),valueType.getValueList().get(19),scheme)); - dto.setV10(getData(valueType.getValueType(),valueType.getValueList().get(20),scheme)); + dto.setV1(getData(type,valueType.getValueList().get(11),scheme)); + dto.setV2(getData(type,valueType.getValueList().get(12),scheme)); + dto.setV3(getData(type,valueType.getValueList().get(13),scheme)); + dto.setV4(getData(type,valueType.getValueList().get(14),scheme)); + dto.setV5(getData(type,valueType.getValueList().get(15),scheme)); + dto.setV6(getData(type,valueType.getValueList().get(16),scheme)); + dto.setV7(getData(type,valueType.getValueList().get(17),scheme)); + dto.setV8(getData(type,valueType.getValueList().get(18),scheme)); + dto.setV9(getData(type,valueType.getValueList().get(19),scheme)); + dto.setV10(getData(type,valueType.getValueList().get(20),scheme)); - dto.setV11(getData(valueType.getValueType(),valueType.getValueList().get(21),scheme)); - dto.setV12(getData(valueType.getValueType(),valueType.getValueList().get(22),scheme)); - dto.setV13(getData(valueType.getValueType(),valueType.getValueList().get(23),scheme)); - dto.setV14(getData(valueType.getValueType(),valueType.getValueList().get(24),scheme)); - dto.setV15(getData(valueType.getValueType(),valueType.getValueList().get(25),scheme)); - dto.setV16(getData(valueType.getValueType(),valueType.getValueList().get(26),scheme)); - dto.setV17(getData(valueType.getValueType(),valueType.getValueList().get(27),scheme)); - dto.setV18(getData(valueType.getValueType(),valueType.getValueList().get(28),scheme)); - dto.setV19(getData(valueType.getValueType(),valueType.getValueList().get(29),scheme)); - dto.setV20(getData(valueType.getValueType(),valueType.getValueList().get(30),scheme)); + dto.setV11(getData(type,valueType.getValueList().get(21),scheme)); + dto.setV12(getData(type,valueType.getValueList().get(22),scheme)); + dto.setV13(getData(type,valueType.getValueList().get(23),scheme)); + dto.setV14(getData(type,valueType.getValueList().get(24),scheme)); + dto.setV15(getData(type,valueType.getValueList().get(25),scheme)); + dto.setV16(getData(type,valueType.getValueList().get(26),scheme)); + dto.setV17(getData(type,valueType.getValueList().get(27),scheme)); + dto.setV18(getData(type,valueType.getValueList().get(28),scheme)); + dto.setV19(getData(type,valueType.getValueList().get(29),scheme)); + dto.setV20(getData(type,valueType.getValueList().get(30),scheme)); - dto.setV21(getData(valueType.getValueType(),valueType.getValueList().get(31),scheme)); - dto.setV22(getData(valueType.getValueType(),valueType.getValueList().get(32),scheme)); - dto.setV23(getData(valueType.getValueType(),valueType.getValueList().get(33),scheme)); - dto.setV24(getData(valueType.getValueType(),valueType.getValueList().get(34),scheme)); - dto.setV25(getData(valueType.getValueType(),valueType.getValueList().get(35),scheme)); - dto.setV26(getData(valueType.getValueType(),valueType.getValueList().get(36),scheme)); - dto.setV27(getData(valueType.getValueType(),valueType.getValueList().get(37),scheme)); - dto.setV28(getData(valueType.getValueType(),valueType.getValueList().get(38),scheme)); - dto.setV29(getData(valueType.getValueType(),valueType.getValueList().get(39),scheme)); - dto.setV30(getData(valueType.getValueType(),valueType.getValueList().get(40),scheme)); + dto.setV21(getData(type,valueType.getValueList().get(31),scheme)); + dto.setV22(getData(type,valueType.getValueList().get(32),scheme)); + dto.setV23(getData(type,valueType.getValueList().get(33),scheme)); + dto.setV24(getData(type,valueType.getValueList().get(34),scheme)); + dto.setV25(getData(type,valueType.getValueList().get(35),scheme)); + dto.setV26(getData(type,valueType.getValueList().get(36),scheme)); + dto.setV27(getData(type,valueType.getValueList().get(37),scheme)); + dto.setV28(getData(type,valueType.getValueList().get(38),scheme)); + dto.setV29(getData(type,valueType.getValueList().get(39),scheme)); + dto.setV30(getData(type,valueType.getValueList().get(40),scheme)); - dto.setV31(getData(valueType.getValueType(),valueType.getValueList().get(41),scheme)); - dto.setV32(getData(valueType.getValueType(),valueType.getValueList().get(42),scheme)); - dto.setV33(getData(valueType.getValueType(),valueType.getValueList().get(43),scheme)); - dto.setV34(getData(valueType.getValueType(),valueType.getValueList().get(44),scheme)); - dto.setV35(getData(valueType.getValueType(),valueType.getValueList().get(45),scheme)); - dto.setV36(getData(valueType.getValueType(),valueType.getValueList().get(46),scheme)); - dto.setV37(getData(valueType.getValueType(),valueType.getValueList().get(47),scheme)); - dto.setV38(getData(valueType.getValueType(),valueType.getValueList().get(48),scheme)); - dto.setV39(getData(valueType.getValueType(),valueType.getValueList().get(49),scheme)); - dto.setV40(getData(valueType.getValueType(),valueType.getValueList().get(50),scheme)); + dto.setV31(getData(type,valueType.getValueList().get(41),scheme)); + dto.setV32(getData(type,valueType.getValueList().get(42),scheme)); + dto.setV33(getData(type,valueType.getValueList().get(43),scheme)); + dto.setV34(getData(type,valueType.getValueList().get(44),scheme)); + dto.setV35(getData(type,valueType.getValueList().get(45),scheme)); + dto.setV36(getData(type,valueType.getValueList().get(46),scheme)); + dto.setV37(getData(type,valueType.getValueList().get(47),scheme)); + dto.setV38(getData(type,valueType.getValueList().get(48),scheme)); + dto.setV39(getData(type,valueType.getValueList().get(49),scheme)); + dto.setV40(getData(type,valueType.getValueList().get(50),scheme)); - dto.setV41(getData(valueType.getValueType(),valueType.getValueList().get(51),scheme)); - dto.setV42(getData(valueType.getValueType(),valueType.getValueList().get(52),scheme)); - dto.setV43(getData(valueType.getValueType(),valueType.getValueList().get(53),scheme)); - dto.setV44(getData(valueType.getValueType(),valueType.getValueList().get(54),scheme)); - dto.setV45(getData(valueType.getValueType(),valueType.getValueList().get(55),scheme)); - dto.setV46(getData(valueType.getValueType(),valueType.getValueList().get(56),scheme)); - dto.setV47(getData(valueType.getValueType(),valueType.getValueList().get(57),scheme)); - dto.setV48(getData(valueType.getValueType(),valueType.getValueList().get(58),scheme)); - dto.setV49(getData(valueType.getValueType(),valueType.getValueList().get(59),scheme)); - dto.setV50(getData(valueType.getValueType(),valueType.getValueList().get(60),scheme)); + dto.setV41(getData(type,valueType.getValueList().get(51),scheme)); + dto.setV42(getData(type,valueType.getValueList().get(52),scheme)); + dto.setV43(getData(type,valueType.getValueList().get(53),scheme)); + dto.setV44(getData(type,valueType.getValueList().get(54),scheme)); + dto.setV45(getData(type,valueType.getValueList().get(55),scheme)); + dto.setV46(getData(type,valueType.getValueList().get(56),scheme)); + dto.setV47(getData(type,valueType.getValueList().get(57),scheme)); + dto.setV48(getData(type,valueType.getValueList().get(58),scheme)); + dto.setV49(getData(type,valueType.getValueList().get(59),scheme)); + dto.setV50(getData(type,valueType.getValueList().get(60),scheme)); } + public void channelDataIHandler(CommonMinuteDto.ValueType pojo1, CommonMinuteDto.ValueType pojo2, DataIDto dto, boolean scheme) { + CommonMinuteDto.ValueType valueType; + String type; + if (dto.getValueType().equalsIgnoreCase(InfluxDbSqlConstant.CP95) && !scheme) { + valueType = pojo2; + type = "CP95"; + } else { + valueType = pojo1; + type = pojo1.getValueType(); + } + //按照指标集合排列顺序取值 + dto.setINeg(getData(type,valueType.getValueList().get(0),scheme)); + dto.setIPos(getData(type,valueType.getValueList().get(1),scheme)); + dto.setIThd(getData(type,valueType.getValueList().get(2),scheme)); + dto.setIUnbalance(getData(type,valueType.getValueList().get(3),scheme)); + dto.setIZero(getData(type,valueType.getValueList().get(4),scheme)); + dto.setRms(getData(type,valueType.getValueList().get(5),scheme)); + + dto.setI1(getData(type,valueType.getValueList().get(6),scheme)); + dto.setI2(getData(type,valueType.getValueList().get(7),scheme)); + dto.setI3(getData(type,valueType.getValueList().get(8),scheme)); + dto.setI4(getData(type,valueType.getValueList().get(9),scheme)); + dto.setI5(getData(type,valueType.getValueList().get(10),scheme)); + dto.setI6(getData(type,valueType.getValueList().get(11),scheme)); + dto.setI7(getData(type,valueType.getValueList().get(12),scheme)); + dto.setI8(getData(type,valueType.getValueList().get(13),scheme)); + dto.setI9(getData(type,valueType.getValueList().get(14),scheme)); + dto.setI10(getData(type,valueType.getValueList().get(15),scheme)); + + dto.setI11(getData(type,valueType.getValueList().get(16),scheme)); + dto.setI12(getData(type,valueType.getValueList().get(17),scheme)); + dto.setI13(getData(type,valueType.getValueList().get(18),scheme)); + dto.setI14(getData(type,valueType.getValueList().get(19),scheme)); + dto.setI15(getData(type,valueType.getValueList().get(20),scheme)); + dto.setI16(getData(type,valueType.getValueList().get(21),scheme)); + dto.setI17(getData(type,valueType.getValueList().get(22),scheme)); + dto.setI18(getData(type,valueType.getValueList().get(23),scheme)); + dto.setI19(getData(type,valueType.getValueList().get(24),scheme)); + dto.setI20(getData(type,valueType.getValueList().get(25),scheme)); + + dto.setI21(getData(type,valueType.getValueList().get(26),scheme)); + dto.setI22(getData(type,valueType.getValueList().get(27),scheme)); + dto.setI23(getData(type,valueType.getValueList().get(28),scheme)); + dto.setI24(getData(type,valueType.getValueList().get(29),scheme)); + dto.setI25(getData(type,valueType.getValueList().get(30),scheme)); + dto.setI26(getData(type,valueType.getValueList().get(31),scheme)); + dto.setI27(getData(type,valueType.getValueList().get(32),scheme)); + dto.setI28(getData(type,valueType.getValueList().get(33),scheme)); + dto.setI29(getData(type,valueType.getValueList().get(34),scheme)); + dto.setI30(getData(type,valueType.getValueList().get(35),scheme)); + + dto.setI31(getData(type,valueType.getValueList().get(36),scheme)); + dto.setI32(getData(type,valueType.getValueList().get(37),scheme)); + dto.setI33(getData(type,valueType.getValueList().get(38),scheme)); + dto.setI34(getData(type,valueType.getValueList().get(39),scheme)); + dto.setI35(getData(type,valueType.getValueList().get(40),scheme)); + dto.setI36(getData(type,valueType.getValueList().get(41),scheme)); + dto.setI37(getData(type,valueType.getValueList().get(42),scheme)); + dto.setI38(getData(type,valueType.getValueList().get(43),scheme)); + dto.setI39(getData(type,valueType.getValueList().get(44),scheme)); + dto.setI40(getData(type,valueType.getValueList().get(45),scheme)); + + dto.setI41(getData(type,valueType.getValueList().get(46),scheme)); + dto.setI42(getData(type,valueType.getValueList().get(47),scheme)); + dto.setI43(getData(type,valueType.getValueList().get(48),scheme)); + dto.setI44(getData(type,valueType.getValueList().get(49),scheme)); + dto.setI45(getData(type,valueType.getValueList().get(50),scheme)); + dto.setI46(getData(type,valueType.getValueList().get(51),scheme)); + dto.setI47(getData(type,valueType.getValueList().get(52),scheme)); + dto.setI48(getData(type,valueType.getValueList().get(53),scheme)); + dto.setI49(getData(type,valueType.getValueList().get(54),scheme)); + dto.setI50(getData(type,valueType.getValueList().get(55),scheme)); + } + + public void channelDataFlickerHandler(CommonMinuteDto.ValueType pojo1, DataFlickerDto dto, String valueType, boolean scheme) { + dto.setFluc(getData(valueType,pojo1.getValueList().get(0),scheme)); + dto.setPlt(getData(valueType,pojo1.getValueList().get(1),scheme)); + dto.setPst(getData(valueType,pojo1.getValueList().get(2),scheme)); + } + + public void channelDataFlucHandler(CommonMinuteDto.ValueType pojo1, DataFlucDto dto, String valueType, boolean scheme) { + dto.setFluc(getData(valueType,pojo1.getValueList().get(0),scheme)); + dto.setFluccf(getData(valueType,pojo1.getValueList().get(1),scheme)); + } + + public void channelDataHarmPhasicIHandler(CommonMinuteDto.ValueType pojo1, CommonMinuteDto.ValueType pojo2, DataHarmPhasicIDto dto, boolean scheme) { + CommonMinuteDto.ValueType valueType; + String type; + if (dto.getValueType().equalsIgnoreCase(InfluxDbSqlConstant.CP95) && !scheme) { + valueType = pojo2; + type = "CP95"; + } else { + valueType = pojo1; + type = pojo1.getValueType(); + } + //按照指标集合排列顺序取值 + dto.setI1(getData(type,valueType.getValueList().get(0),scheme)); + dto.setI2(getData(type,valueType.getValueList().get(1),scheme)); + dto.setI3(getData(type,valueType.getValueList().get(2),scheme)); + dto.setI4(getData(type,valueType.getValueList().get(3),scheme)); + dto.setI5(getData(type,valueType.getValueList().get(4),scheme)); + dto.setI6(getData(type,valueType.getValueList().get(5),scheme)); + dto.setI7(getData(type,valueType.getValueList().get(6),scheme)); + dto.setI8(getData(type,valueType.getValueList().get(7),scheme)); + dto.setI9(getData(type,valueType.getValueList().get(8),scheme)); + dto.setI10(getData(type,valueType.getValueList().get(9),scheme)); + dto.setI11(getData(type,valueType.getValueList().get(10),scheme)); + + dto.setI12(getData(type,valueType.getValueList().get(11),scheme)); + dto.setI13(getData(type,valueType.getValueList().get(12),scheme)); + dto.setI14(getData(type,valueType.getValueList().get(13),scheme)); + dto.setI15(getData(type,valueType.getValueList().get(14),scheme)); + dto.setI16(getData(type,valueType.getValueList().get(15),scheme)); + dto.setI17(getData(type,valueType.getValueList().get(16),scheme)); + dto.setI18(getData(type,valueType.getValueList().get(17),scheme)); + dto.setI19(getData(type,valueType.getValueList().get(18),scheme)); + dto.setI20(getData(type,valueType.getValueList().get(19),scheme)); + dto.setI21(getData(type,valueType.getValueList().get(20),scheme)); + + dto.setI22(getData(type,valueType.getValueList().get(21),scheme)); + dto.setI23(getData(type,valueType.getValueList().get(22),scheme)); + dto.setI24(getData(type,valueType.getValueList().get(23),scheme)); + dto.setI25(getData(type,valueType.getValueList().get(24),scheme)); + dto.setI26(getData(type,valueType.getValueList().get(25),scheme)); + dto.setI27(getData(type,valueType.getValueList().get(26),scheme)); + dto.setI28(getData(type,valueType.getValueList().get(27),scheme)); + dto.setI29(getData(type,valueType.getValueList().get(28),scheme)); + dto.setI30(getData(type,valueType.getValueList().get(29),scheme)); + + dto.setI31(getData(type,valueType.getValueList().get(30),scheme)); + dto.setI32(getData(type,valueType.getValueList().get(31),scheme)); + dto.setI33(getData(type,valueType.getValueList().get(32),scheme)); + dto.setI34(getData(type,valueType.getValueList().get(33),scheme)); + dto.setI35(getData(type,valueType.getValueList().get(34),scheme)); + dto.setI36(getData(type,valueType.getValueList().get(35),scheme)); + dto.setI37(getData(type,valueType.getValueList().get(36),scheme)); + dto.setI38(getData(type,valueType.getValueList().get(37),scheme)); + dto.setI39(getData(type,valueType.getValueList().get(38),scheme)); + dto.setI40(getData(type,valueType.getValueList().get(39),scheme)); + + dto.setI41(getData(type,valueType.getValueList().get(40),scheme)); + dto.setI42(getData(type,valueType.getValueList().get(41),scheme)); + dto.setI43(getData(type,valueType.getValueList().get(42),scheme)); + dto.setI44(getData(type,valueType.getValueList().get(43),scheme)); + dto.setI45(getData(type,valueType.getValueList().get(44),scheme)); + dto.setI46(getData(type,valueType.getValueList().get(45),scheme)); + dto.setI47(getData(type,valueType.getValueList().get(46),scheme)); + dto.setI48(getData(type,valueType.getValueList().get(47),scheme)); + dto.setI49(getData(type,valueType.getValueList().get(48),scheme)); + dto.setI50(getData(type,valueType.getValueList().get(49),scheme)); + } + + public void channelDataHarmPhasicVHandler(CommonMinuteDto.ValueType pojo1, CommonMinuteDto.ValueType pojo2, DataHarmPhasicVDto dto, boolean scheme) { + CommonMinuteDto.ValueType valueType; + String type; + if (dto.getValueType().equalsIgnoreCase(InfluxDbSqlConstant.CP95) && !scheme) { + valueType = pojo2; + type = "CP95"; + } else { + valueType = pojo1; + type = pojo1.getValueType(); + } + //按照指标集合排列顺序取值 + dto.setV1(getData(type,valueType.getValueList().get(0),scheme)); + dto.setV2(getData(type,valueType.getValueList().get(1),scheme)); + dto.setV3(getData(type,valueType.getValueList().get(2),scheme)); + dto.setV4(getData(type,valueType.getValueList().get(3),scheme)); + dto.setV5(getData(type,valueType.getValueList().get(4),scheme)); + dto.setV6(getData(type,valueType.getValueList().get(5),scheme)); + dto.setV7(getData(type,valueType.getValueList().get(6),scheme)); + dto.setV8(getData(type,valueType.getValueList().get(7),scheme)); + dto.setV9(getData(type,valueType.getValueList().get(8),scheme)); + dto.setV10(getData(type,valueType.getValueList().get(9),scheme)); + dto.setV11(getData(type,valueType.getValueList().get(10),scheme)); + + dto.setV12(getData(type,valueType.getValueList().get(11),scheme)); + dto.setV13(getData(type,valueType.getValueList().get(12),scheme)); + dto.setV14(getData(type,valueType.getValueList().get(13),scheme)); + dto.setV15(getData(type,valueType.getValueList().get(14),scheme)); + dto.setV16(getData(type,valueType.getValueList().get(15),scheme)); + dto.setV17(getData(type,valueType.getValueList().get(16),scheme)); + dto.setV18(getData(type,valueType.getValueList().get(17),scheme)); + dto.setV19(getData(type,valueType.getValueList().get(18),scheme)); + dto.setV20(getData(type,valueType.getValueList().get(19),scheme)); + dto.setV21(getData(type,valueType.getValueList().get(20),scheme)); + + dto.setV22(getData(type,valueType.getValueList().get(21),scheme)); + dto.setV23(getData(type,valueType.getValueList().get(22),scheme)); + dto.setV24(getData(type,valueType.getValueList().get(23),scheme)); + dto.setV25(getData(type,valueType.getValueList().get(24),scheme)); + dto.setV26(getData(type,valueType.getValueList().get(25),scheme)); + dto.setV27(getData(type,valueType.getValueList().get(26),scheme)); + dto.setV28(getData(type,valueType.getValueList().get(27),scheme)); + dto.setV29(getData(type,valueType.getValueList().get(28),scheme)); + dto.setV30(getData(type,valueType.getValueList().get(29),scheme)); + + dto.setV31(getData(type,valueType.getValueList().get(30),scheme)); + dto.setV32(getData(type,valueType.getValueList().get(31),scheme)); + dto.setV33(getData(type,valueType.getValueList().get(32),scheme)); + dto.setV34(getData(type,valueType.getValueList().get(33),scheme)); + dto.setV35(getData(type,valueType.getValueList().get(34),scheme)); + dto.setV36(getData(type,valueType.getValueList().get(35),scheme)); + dto.setV37(getData(type,valueType.getValueList().get(36),scheme)); + dto.setV38(getData(type,valueType.getValueList().get(37),scheme)); + dto.setV39(getData(type,valueType.getValueList().get(38),scheme)); + dto.setV40(getData(type,valueType.getValueList().get(39),scheme)); + + dto.setV41(getData(type,valueType.getValueList().get(40),scheme)); + dto.setV42(getData(type,valueType.getValueList().get(41),scheme)); + dto.setV43(getData(type,valueType.getValueList().get(42),scheme)); + dto.setV44(getData(type,valueType.getValueList().get(43),scheme)); + dto.setV45(getData(type,valueType.getValueList().get(44),scheme)); + dto.setV46(getData(type,valueType.getValueList().get(45),scheme)); + dto.setV47(getData(type,valueType.getValueList().get(46),scheme)); + dto.setV48(getData(type,valueType.getValueList().get(47),scheme)); + dto.setV49(getData(type,valueType.getValueList().get(48),scheme)); + dto.setV50(getData(type,valueType.getValueList().get(49),scheme)); + } + + public void channelDataHarmPowerPHandler(CommonMinuteDto.ValueType pojo1, CommonMinuteDto.ValueType pojo2, DataHarmPowerPDto dto, boolean scheme) { + CommonMinuteDto.ValueType valueType; + String type; + if (dto.getValueType().equalsIgnoreCase(InfluxDbSqlConstant.CP95) && !scheme) { + valueType = pojo2; + type = "CP95"; + } else { + valueType = pojo1; + type = pojo1.getValueType(); + } + //按照指标集合排列顺序取值 + dto.setDf(getData(type,valueType.getValueList().get(0),scheme)); + dto.setPf(getData(type,valueType.getValueList().get(1),scheme)); + dto.setP(getData(type,valueType.getValueList().get(2),scheme)); + + dto.setP1(getData(type,valueType.getValueList().get(3),scheme)); + dto.setP2(getData(type,valueType.getValueList().get(4),scheme)); + dto.setP3(getData(type,valueType.getValueList().get(5),scheme)); + dto.setP4(getData(type,valueType.getValueList().get(6),scheme)); + dto.setP5(getData(type,valueType.getValueList().get(7),scheme)); + dto.setP6(getData(type,valueType.getValueList().get(8),scheme)); + dto.setP7(getData(type,valueType.getValueList().get(9),scheme)); + dto.setP8(getData(type,valueType.getValueList().get(10),scheme)); + dto.setP9(getData(type,valueType.getValueList().get(11),scheme)); + dto.setP10(getData(type,valueType.getValueList().get(12),scheme)); + dto.setP11(getData(type,valueType.getValueList().get(13),scheme)); + + dto.setP12(getData(type,valueType.getValueList().get(14),scheme)); + dto.setP13(getData(type,valueType.getValueList().get(15),scheme)); + dto.setP14(getData(type,valueType.getValueList().get(16),scheme)); + dto.setP15(getData(type,valueType.getValueList().get(17),scheme)); + dto.setP16(getData(type,valueType.getValueList().get(18),scheme)); + dto.setP17(getData(type,valueType.getValueList().get(19),scheme)); + dto.setP18(getData(type,valueType.getValueList().get(20),scheme)); + dto.setP19(getData(type,valueType.getValueList().get(21),scheme)); + dto.setP20(getData(type,valueType.getValueList().get(22),scheme)); + dto.setP21(getData(type,valueType.getValueList().get(23),scheme)); + + dto.setP22(getData(type,valueType.getValueList().get(24),scheme)); + dto.setP23(getData(type,valueType.getValueList().get(25),scheme)); + dto.setP24(getData(type,valueType.getValueList().get(26),scheme)); + dto.setP25(getData(type,valueType.getValueList().get(27),scheme)); + dto.setP26(getData(type,valueType.getValueList().get(28),scheme)); + dto.setP27(getData(type,valueType.getValueList().get(29),scheme)); + dto.setP28(getData(type,valueType.getValueList().get(30),scheme)); + dto.setP29(getData(type,valueType.getValueList().get(31),scheme)); + dto.setP30(getData(type,valueType.getValueList().get(32),scheme)); + dto.setP31(getData(type,valueType.getValueList().get(33),scheme)); + + dto.setP32(getData(type,valueType.getValueList().get(34),scheme)); + dto.setP33(getData(type,valueType.getValueList().get(35),scheme)); + dto.setP34(getData(type,valueType.getValueList().get(36),scheme)); + dto.setP35(getData(type,valueType.getValueList().get(37),scheme)); + dto.setP36(getData(type,valueType.getValueList().get(38),scheme)); + dto.setP37(getData(type,valueType.getValueList().get(39),scheme)); + dto.setP38(getData(type,valueType.getValueList().get(40),scheme)); + dto.setP39(getData(type,valueType.getValueList().get(41),scheme)); + dto.setP40(getData(type,valueType.getValueList().get(42),scheme)); + dto.setP41(getData(type,valueType.getValueList().get(43),scheme)); + + dto.setP42(getData(type,valueType.getValueList().get(44),scheme)); + dto.setP43(getData(type,valueType.getValueList().get(45),scheme)); + dto.setP44(getData(type,valueType.getValueList().get(46),scheme)); + dto.setP45(getData(type,valueType.getValueList().get(47),scheme)); + dto.setP46(getData(type,valueType.getValueList().get(48),scheme)); + dto.setP47(getData(type,valueType.getValueList().get(49),scheme)); + dto.setP48(getData(type,valueType.getValueList().get(50),scheme)); + dto.setP49(getData(type,valueType.getValueList().get(51),scheme)); + dto.setP50(getData(type,valueType.getValueList().get(52),scheme)); + } + + public void channelDataHarmPowerQHandler(CommonMinuteDto.ValueType pojo1, CommonMinuteDto.ValueType pojo2, DataHarmPowerQDto dto, boolean scheme) { + CommonMinuteDto.ValueType valueType; + String type; + if (dto.getValueType().equalsIgnoreCase(InfluxDbSqlConstant.CP95) && !scheme) { + valueType = pojo2; + type = "CP95"; + } else { + valueType = pojo1; + type = pojo1.getValueType(); + } + //按照指标集合排列顺序取值 + dto.setQ(getData(type,valueType.getValueList().get(0),scheme)); + + dto.setQ1(getData(type,valueType.getValueList().get(1),scheme)); + dto.setQ2(getData(type,valueType.getValueList().get(2),scheme)); + dto.setQ3(getData(type,valueType.getValueList().get(3),scheme)); + dto.setQ4(getData(type,valueType.getValueList().get(4),scheme)); + dto.setQ5(getData(type,valueType.getValueList().get(5),scheme)); + dto.setQ6(getData(type,valueType.getValueList().get(6),scheme)); + dto.setQ7(getData(type,valueType.getValueList().get(7),scheme)); + dto.setQ8(getData(type,valueType.getValueList().get(8),scheme)); + dto.setQ9(getData(type,valueType.getValueList().get(9),scheme)); + dto.setQ10(getData(type,valueType.getValueList().get(10),scheme)); + + dto.setQ11(getData(type,valueType.getValueList().get(11),scheme)); + dto.setQ12(getData(type,valueType.getValueList().get(12),scheme)); + dto.setQ13(getData(type,valueType.getValueList().get(13),scheme)); + dto.setQ14(getData(type,valueType.getValueList().get(14),scheme)); + dto.setQ15(getData(type,valueType.getValueList().get(15),scheme)); + dto.setQ16(getData(type,valueType.getValueList().get(16),scheme)); + dto.setQ17(getData(type,valueType.getValueList().get(17),scheme)); + dto.setQ18(getData(type,valueType.getValueList().get(18),scheme)); + dto.setQ19(getData(type,valueType.getValueList().get(19),scheme)); + dto.setQ20(getData(type,valueType.getValueList().get(20),scheme)); + + dto.setQ21(getData(type,valueType.getValueList().get(21),scheme)); + dto.setQ22(getData(type,valueType.getValueList().get(22),scheme)); + dto.setQ23(getData(type,valueType.getValueList().get(23),scheme)); + dto.setQ24(getData(type,valueType.getValueList().get(24),scheme)); + dto.setQ25(getData(type,valueType.getValueList().get(25),scheme)); + dto.setQ26(getData(type,valueType.getValueList().get(26),scheme)); + dto.setQ27(getData(type,valueType.getValueList().get(27),scheme)); + dto.setQ28(getData(type,valueType.getValueList().get(28),scheme)); + dto.setQ29(getData(type,valueType.getValueList().get(29),scheme)); + dto.setQ30(getData(type,valueType.getValueList().get(30),scheme)); + + dto.setQ31(getData(type,valueType.getValueList().get(31),scheme)); + dto.setQ32(getData(type,valueType.getValueList().get(32),scheme)); + dto.setQ33(getData(type,valueType.getValueList().get(33),scheme)); + dto.setQ34(getData(type,valueType.getValueList().get(34),scheme)); + dto.setQ35(getData(type,valueType.getValueList().get(35),scheme)); + dto.setQ36(getData(type,valueType.getValueList().get(36),scheme)); + dto.setQ37(getData(type,valueType.getValueList().get(37),scheme)); + dto.setQ38(getData(type,valueType.getValueList().get(38),scheme)); + dto.setQ39(getData(type,valueType.getValueList().get(39),scheme)); + dto.setQ40(getData(type,valueType.getValueList().get(40),scheme)); + + dto.setQ41(getData(type,valueType.getValueList().get(41),scheme)); + dto.setQ42(getData(type,valueType.getValueList().get(42),scheme)); + dto.setQ43(getData(type,valueType.getValueList().get(43),scheme)); + dto.setQ44(getData(type,valueType.getValueList().get(44),scheme)); + dto.setQ45(getData(type,valueType.getValueList().get(45),scheme)); + dto.setQ46(getData(type,valueType.getValueList().get(46),scheme)); + dto.setQ47(getData(type,valueType.getValueList().get(47),scheme)); + dto.setQ48(getData(type,valueType.getValueList().get(48),scheme)); + dto.setQ49(getData(type,valueType.getValueList().get(49),scheme)); + dto.setQ50(getData(type,valueType.getValueList().get(50),scheme)); + } //数据类型处理 //cp95值的计算有点区别，会用到cp95的集合或者平均值的集合 diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/DataFlickerFeignClient.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/DataFlickerFeignClient.java index d0315f6..739a10b 100644 --- a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/DataFlickerFeignClient.java +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/DataFlickerFeignClient.java @@ -2,9 +2,12 @@ package com.njcn.dataProcess.api; import com.njcn.common.pojo.constant.ServerInfo; import com.njcn.common.pojo.response.HttpResult; - import com.njcn.dataProcess.api.fallback.DataFlickerFeignClientFallbackFactory; import com.njcn.dataProcess.dto.DataFlickerDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.pojo.dto.CommonMinuteDto; +import com.njcn.dataProcess.pojo.dto.DataFlickerDto; +import com.njcn.dataProcess.pojo.dto.DataIDto; import org.springframework.cloud.openfeign.FeignClient; import org.springframework.web.bind.annotation.PostMapping; import org.springframework.web.bind.annotation.RequestBody; @@ -19,9 +22,15 @@ import java.util.List; @FeignClient(value = ServerInfo.PLATFORM_DATA_PROCESSING_BOOT, path = "/dataFlicker", fallbackFactory = DataFlickerFeignClientFallbackFactory.class, contextId = "dataFlicker") public interface DataFlickerFeignClient { - - @PostMapping("/batchInsertion") HttpResult batchInsertion(@RequestBody List dataFlickerDTOList); + @PostMapping("/getRawData") + HttpResult> getRawData(@RequestBody LineCountEvaluateParam lineParam); + + @PostMapping("/getBaseData") + HttpResult> getBaseData(@RequestBody LineCountEvaluateParam lineParam); + + @PostMapping("/addList") + HttpResult addList(@RequestBody List data); } diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/DataFlucFeignClient.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/DataFlucFeignClient.java index bfdab97..dccbe55 100644 --- a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/DataFlucFeignClient.java +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/DataFlucFeignClient.java @@ -2,9 +2,11 @@ package com.njcn.dataProcess.api; import com.njcn.common.pojo.constant.ServerInfo; import com.njcn.common.pojo.response.HttpResult; - import com.njcn.dataProcess.api.fallback.DataFlucFeignClientFallbackFactory; import com.njcn.dataProcess.dto.DataFlucDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.pojo.dto.CommonMinuteDto; +import com.njcn.dataProcess.pojo.dto.DataFlucDto; import org.springframework.cloud.openfeign.FeignClient; import org.springframework.web.bind.annotation.PostMapping; import org.springframework.web.bind.annotation.RequestBody; @@ -24,4 +26,13 @@ public interface DataFlucFeignClient { @PostMapping("/batchInsertion") HttpResult batchInsertion(@RequestBody List dataFlucDTOList); + @PostMapping("/getRawData") + HttpResult> getRawData(@RequestBody LineCountEvaluateParam lineParam); + + @PostMapping("/getBaseData") + HttpResult> getBaseData(@RequestBody LineCountEvaluateParam lineParam); + + @PostMapping("/addList") + HttpResult addList(@RequestBody List data); + } diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/DataHarmRateVFeignClient.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/DataHarmRateVFeignClient.java new file mode 100644 index 0000000..467a9af --- /dev/null +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/DataHarmRateVFeignClient.java @@ -0,0 +1,23 @@ +package com.njcn.dataProcess.api; + +import com.njcn.common.pojo.constant.ServerInfo; +import com.njcn.common.pojo.response.HttpResult; +import com.njcn.dataProcess.api.fallback.DataHarmRateVFeignClientFallbackFactory; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.pojo.dto.DataHarmDto; +import org.springframework.cloud.openfeign.FeignClient; +import org.springframework.web.bind.annotation.PostMapping; +import org.springframework.web.bind.annotation.RequestBody; + +import java.util.List; + +/** + * @author xy + */ +@FeignClient(value = ServerInfo.PLATFORM_DATA_PROCESSING_BOOT, path = "/dataHarmRateV", fallbackFactory = DataHarmRateVFeignClientFallbackFactory.class, contextId = "dataHarmRateV") +public interface DataHarmRateVFeignClient { + + @PostMapping("/getRawData") + HttpResult> getRawData(@RequestBody LineCountEvaluateParam lineParam); + +} diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/DataHarmphasicIFeignClient.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/DataHarmphasicIFeignClient.java index 4d95ba3..2115c08 100644 --- a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/DataHarmphasicIFeignClient.java +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/DataHarmphasicIFeignClient.java @@ -5,6 +5,10 @@ import com.njcn.common.pojo.response.HttpResult; import com.njcn.dataProcess.api.fallback.DataHarmphasicIFeignClientFallbackFactory; import com.njcn.dataProcess.dto.DataHarmphasicIDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.pojo.dto.CommonMinuteDto; +import com.njcn.dataProcess.pojo.dto.DataFlucDto; +import com.njcn.dataProcess.pojo.dto.DataHarmPhasicIDto; import org.springframework.cloud.openfeign.FeignClient; import org.springframework.web.bind.annotation.PostMapping; import org.springframework.web.bind.annotation.RequestBody; @@ -19,9 +23,13 @@ import java.util.List; @FeignClient(value = ServerInfo.PLATFORM_DATA_PROCESSING_BOOT, path = "/dataHarmphasicI", fallbackFactory = DataHarmphasicIFeignClientFallbackFactory.class, contextId = "dataHarmphasicI") public interface DataHarmphasicIFeignClient { - - @PostMapping("/batchInsertion") HttpResult batchInsertion(@RequestBody List dataHarmphasicIDTOList); + @PostMapping("/getBaseData") + HttpResult> getBaseData(@RequestBody LineCountEvaluateParam lineParam); + + @PostMapping("/addList") + HttpResult addList(@RequestBody List data); + } diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/DataHarmphasicVFeignClient.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/DataHarmphasicVFeignClient.java index 23c2a9d..ad80014 100644 --- a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/DataHarmphasicVFeignClient.java +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/DataHarmphasicVFeignClient.java @@ -2,9 +2,12 @@ package com.njcn.dataProcess.api; import com.njcn.common.pojo.constant.ServerInfo; import com.njcn.common.pojo.response.HttpResult; - -import com.njcn.dataProcess.api.fallback.DataIFeignClientFallbackFactory; +import com.njcn.dataProcess.api.fallback.DataHarmphasicVFeignClientFallbackFactory; import com.njcn.dataProcess.dto.DataHarmphasicVDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.pojo.dto.CommonMinuteDto; +import com.njcn.dataProcess.pojo.dto.DataHarmDto; +import com.njcn.dataProcess.pojo.dto.DataHarmPhasicVDto; import org.springframework.cloud.openfeign.FeignClient; import org.springframework.web.bind.annotation.PostMapping; import org.springframework.web.bind.annotation.RequestBody; @@ -16,7 +19,7 @@ import java.util.List; * @version 1.0.0 * @date 2022年01月05日 15:11 */ -@FeignClient(value = ServerInfo.PLATFORM_DATA_PROCESSING_BOOT, path = "/dataHarmphasicV", fallbackFactory = DataIFeignClientFallbackFactory.class, contextId = "dataHarmphasicV") +@FeignClient(value = ServerInfo.PLATFORM_DATA_PROCESSING_BOOT, path = "/dataHarmphasicV", fallbackFactory = DataHarmphasicVFeignClientFallbackFactory.class, contextId = "dataHarmphasicV") public interface DataHarmphasicVFeignClient { @@ -24,4 +27,13 @@ public interface DataHarmphasicVFeignClient { @PostMapping("/batchInsertion") HttpResult batchInsertion(@RequestBody List dataHarmphasicVDTOList); + @PostMapping("/getRawData") + HttpResult> getRawData(@RequestBody LineCountEvaluateParam lineParam); + + @PostMapping("/getBaseData") + HttpResult> getBaseData(@RequestBody LineCountEvaluateParam lineParam); + + @PostMapping("/addList") + HttpResult addList(@RequestBody List data); + } diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/DataHarmpowerPFeignClient.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/DataHarmpowerPFeignClient.java index 7762b1a..88ce4ae 100644 --- a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/DataHarmpowerPFeignClient.java +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/DataHarmpowerPFeignClient.java @@ -2,9 +2,13 @@ package com.njcn.dataProcess.api; import com.njcn.common.pojo.constant.ServerInfo; import com.njcn.common.pojo.response.HttpResult; - import com.njcn.dataProcess.api.fallback.DataHarmpowerPFeignClientFallbackFactory; import com.njcn.dataProcess.dto.DataHarmpowerPDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.pojo.dto.CommonMinuteDto; +import com.njcn.dataProcess.pojo.dto.DataHarmPhasicVDto; +import com.njcn.dataProcess.pojo.dto.DataHarmPowerPDto; +import com.njcn.dataProcess.pojo.dto.DataPowerPDto; import org.springframework.cloud.openfeign.FeignClient; import org.springframework.web.bind.annotation.PostMapping; import org.springframework.web.bind.annotation.RequestBody; @@ -19,9 +23,15 @@ import java.util.List; @FeignClient(value = ServerInfo.PLATFORM_DATA_PROCESSING_BOOT, path = "/dataHarmpowerP", fallbackFactory = DataHarmpowerPFeignClientFallbackFactory.class, contextId = "dataHarmpowerP") public interface DataHarmpowerPFeignClient { - - @PostMapping("/batchInsertion") HttpResult batchInsertion(@RequestBody List dataHarmpowerPDTOList); + @PostMapping("/getRawData") + HttpResult> getRawData(@RequestBody LineCountEvaluateParam lineParam); + + @PostMapping("/getBaseData") + HttpResult> getBaseData(@RequestBody LineCountEvaluateParam lineParam); + + @PostMapping("/addList") + HttpResult addList(@RequestBody List data); } diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/DataHarmpowerQFeignClient.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/DataHarmpowerQFeignClient.java index 3db0a3d..4e7235e 100644 --- a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/DataHarmpowerQFeignClient.java +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/DataHarmpowerQFeignClient.java @@ -2,9 +2,11 @@ package com.njcn.dataProcess.api; import com.njcn.common.pojo.constant.ServerInfo; import com.njcn.common.pojo.response.HttpResult; - import com.njcn.dataProcess.api.fallback.DataHarmpowerQFeignClientFallbackFactory; import com.njcn.dataProcess.dto.DataHarmpowerQDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.pojo.dto.CommonMinuteDto; +import com.njcn.dataProcess.pojo.dto.DataHarmPowerQDto; import org.springframework.cloud.openfeign.FeignClient; import org.springframework.web.bind.annotation.PostMapping; import org.springframework.web.bind.annotation.RequestBody; @@ -24,4 +26,10 @@ public interface DataHarmpowerQFeignClient { @PostMapping("/batchInsertion") HttpResult batchInsertion(@RequestBody List dataHarmpowerQDTOList); + @PostMapping("/getBaseData") + HttpResult> getBaseData(@RequestBody LineCountEvaluateParam lineParam); + + @PostMapping("/addList") + HttpResult addList(@RequestBody List data); + } diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/DataIFeignClient.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/DataIFeignClient.java index 61137a3..f1312c1 100644 --- a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/DataIFeignClient.java +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/DataIFeignClient.java @@ -2,9 +2,11 @@ package com.njcn.dataProcess.api; import com.njcn.common.pojo.constant.ServerInfo; import com.njcn.common.pojo.response.HttpResult; - import com.njcn.dataProcess.api.fallback.DataIFeignClientFallbackFactory; import com.njcn.dataProcess.dto.DataIDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.pojo.dto.CommonMinuteDto; +import com.njcn.dataProcess.pojo.dto.DataIDto; import org.springframework.cloud.openfeign.FeignClient; import org.springframework.web.bind.annotation.PostMapping; import org.springframework.web.bind.annotation.RequestBody; @@ -19,9 +21,15 @@ import java.util.List; @FeignClient(value = ServerInfo.PLATFORM_DATA_PROCESSING_BOOT, path = "/dataI", fallbackFactory = DataIFeignClientFallbackFactory.class, contextId = "dataI") public interface DataIFeignClient { - - @PostMapping("/batchInsertion") HttpResult batchInsertion(@RequestBody List dataIDTOList); + @PostMapping("/getRawData") + HttpResult> getRawData(@RequestBody LineCountEvaluateParam lineParam); + + @PostMapping("/getBaseData") + HttpResult> getBaseData(@RequestBody LineCountEvaluateParam lineParam); + + @PostMapping("/addList") + HttpResult addList(@RequestBody List dataIDtoList); } diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/DataInharmVFeignClient.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/DataInharmVFeignClient.java index 21ecf13..5ef1f86 100644 --- a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/DataInharmVFeignClient.java +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/DataInharmVFeignClient.java @@ -5,6 +5,8 @@ import com.njcn.common.pojo.response.HttpResult; import com.njcn.dataProcess.api.fallback.DataInharmVFeignClientFallbackFactory; import com.njcn.dataProcess.dto.DataInharmVDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.pojo.dto.DataHarmDto; import org.springframework.cloud.openfeign.FeignClient; import org.springframework.web.bind.annotation.PostMapping; import org.springframework.web.bind.annotation.RequestBody; @@ -24,4 +26,7 @@ public interface DataInharmVFeignClient { @PostMapping("/batchInsertion") HttpResult batchInsertion(@RequestBody List dataInharmVDTOList); + @PostMapping("/getRawData") + HttpResult> getRawData(@RequestBody LineCountEvaluateParam lineParam); + } diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/DataPltFeignClient.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/DataPltFeignClient.java index d384a9d..167b412 100644 --- a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/DataPltFeignClient.java +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/DataPltFeignClient.java @@ -2,9 +2,10 @@ package com.njcn.dataProcess.api; import com.njcn.common.pojo.constant.ServerInfo; import com.njcn.common.pojo.response.HttpResult; - import com.njcn.dataProcess.api.fallback.DataPltFeignClientFallbackFactory; import com.njcn.dataProcess.dto.DataPltDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.pojo.dto.DataPltDto; import org.springframework.cloud.openfeign.FeignClient; import org.springframework.web.bind.annotation.PostMapping; import org.springframework.web.bind.annotation.RequestBody; @@ -24,4 +25,7 @@ public interface DataPltFeignClient { @PostMapping("/batchInsertion") HttpResult batchInsertion(@RequestBody List dataPltDTOList); + @PostMapping("/getRawData") + HttpResult> getRawData(@RequestBody LineCountEvaluateParam lineParam); + } diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/PqDataVerifyFeignClient.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/PqDataVerifyFeignClient.java new file mode 100644 index 0000000..3b7139a --- /dev/null +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/PqDataVerifyFeignClient.java @@ -0,0 +1,34 @@ +package com.njcn.dataProcess.api; + +import com.njcn.common.pojo.constant.ServerInfo; +import com.njcn.common.pojo.response.HttpResult; +import com.njcn.dataProcess.api.fallback.PqDataVerifyFeignClientFallbackFactory; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.pojo.po.PqDataVerify; +import io.swagger.annotations.ApiOperation; +import org.springframework.cloud.openfeign.FeignClient; +import org.springframework.web.bind.annotation.PostMapping; +import org.springframework.web.bind.annotation.RequestBody; + +import java.util.List; + +/** + * @author xy + * @version 1.0.0 + * @date 2025年02月13日 20:11 + */ +@FeignClient(value = ServerInfo.PLATFORM_DATA_PROCESSING_BOOT, path = "/pqDataVerify", fallbackFactory = PqDataVerifyFeignClientFallbackFactory.class, contextId = "pqDataVerify") +public interface PqDataVerifyFeignClient { + + @PostMapping("/insertData") + @ApiOperation("存储清洗的异常数据") + HttpResult> insertData(@RequestBody List list); + + @PostMapping("/queryData") + @ApiOperation("查询清洗的异常数据") + HttpResult> queryData(@RequestBody LineCountEvaluateParam param); + + + + +} diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/PqReasonableRangeFeignClient.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/PqReasonableRangeFeignClient.java new file mode 100644 index 0000000..e97c61e --- /dev/null +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/PqReasonableRangeFeignClient.java @@ -0,0 +1,27 @@ +package com.njcn.dataProcess.api; + +import com.njcn.common.pojo.constant.ServerInfo; +import com.njcn.common.pojo.response.HttpResult; +import com.njcn.dataProcess.api.fallback.PqReasonableRangeFeignClientFallbackFactory; +import com.njcn.dataProcess.param.DataCleanParam; +import com.njcn.dataProcess.pojo.dto.PqReasonableRangeDto; +import io.swagger.annotations.ApiOperation; +import org.springframework.cloud.openfeign.FeignClient; +import org.springframework.web.bind.annotation.PostMapping; +import org.springframework.web.bind.annotation.RequestBody; + +import java.util.List; + +/** + * @author xy + * @version 1.0.0 + * @date 2025年02月13日 20:11 + */ +@FeignClient(value = ServerInfo.PLATFORM_DATA_PROCESSING_BOOT, path = "/pqReasonableRange", fallbackFactory = PqReasonableRangeFeignClientFallbackFactory.class, contextId = "pqReasonableRange") +public interface PqReasonableRangeFeignClient { + + @PostMapping("/getData") + @ApiOperation("按条件获取数据合理范围") + HttpResult> getData(@RequestBody DataCleanParam param); + +} diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/DataFlickerFeignClientFallbackFactory.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/DataFlickerFeignClientFallbackFactory.java index 55bc280..27a31e2 100644 --- a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/DataFlickerFeignClientFallbackFactory.java +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/DataFlickerFeignClientFallbackFactory.java @@ -6,6 +6,9 @@ import com.njcn.common.pojo.response.HttpResult; import com.njcn.dataProcess.api.DataFlickerFeignClient; import com.njcn.dataProcess.dto.DataFlickerDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.pojo.dto.CommonMinuteDto; +import com.njcn.dataProcess.pojo.dto.DataFlickerDto; import com.njcn.dataProcess.util.DataProcessingEnumUtil; import feign.hystrix.FallbackFactory; import lombok.extern.slf4j.Slf4j; @@ -44,6 +47,24 @@ public class DataFlickerFeignClientFallbackFactory implements FallbackFactory> getRawData(LineCountEvaluateParam lineParam) { + log.error("{}异常，降级处理，异常为：{}","获取原始数据",cause.toString()); + throw new BusinessException(finalExceptionEnum); + } + + @Override + public HttpResult> getBaseData(LineCountEvaluateParam lineParam) { + log.error("{}异常，降级处理，异常为：{}","获取算法基础数据",cause.toString()); + throw new BusinessException(finalExceptionEnum); + } + + @Override + public HttpResult addList(List data) { + log.error("{}异常，降级处理，异常为：{}","存储数据",cause.toString()); + throw new BusinessException(finalExceptionEnum); + } + }; } } diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/DataFlucFeignClientFallbackFactory.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/DataFlucFeignClientFallbackFactory.java index 8ff63b5..8e6f72d 100644 --- a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/DataFlucFeignClientFallbackFactory.java +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/DataFlucFeignClientFallbackFactory.java @@ -3,9 +3,11 @@ package com.njcn.dataProcess.api.fallback; import com.njcn.common.pojo.enums.response.CommonResponseEnum; import com.njcn.common.pojo.exception.BusinessException; import com.njcn.common.pojo.response.HttpResult; - import com.njcn.dataProcess.api.DataFlucFeignClient; import com.njcn.dataProcess.dto.DataFlucDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.pojo.dto.CommonMinuteDto; +import com.njcn.dataProcess.pojo.dto.DataFlucDto; import com.njcn.dataProcess.util.DataProcessingEnumUtil; import feign.hystrix.FallbackFactory; import lombok.extern.slf4j.Slf4j; @@ -40,10 +42,29 @@ public class DataFlucFeignClientFallbackFactory implements FallbackFactory batchInsertion(List dataFlucDTOList) { + log.error("{}异常，降级处理，异常为：{}","批量插入数据",cause.toString()); throw new BusinessException(finalExceptionEnum); } + @Override + public HttpResult> getRawData(LineCountEvaluateParam lineParam) { + log.error("{}异常，降级处理，异常为：{}","获取原始数据",cause.toString()); + throw new BusinessException(finalExceptionEnum); + } + + @Override + public HttpResult> getBaseData(LineCountEvaluateParam lineParam) { + log.error("{}异常，降级处理，异常为：{}","获取算法原始数据",cause.toString()); + throw new BusinessException(finalExceptionEnum); + } + + @Override + public HttpResult addList(List data) { + log.error("{}异常，降级处理，异常为：{}","存储数据",cause.toString()); + throw new BusinessException(finalExceptionEnum); + } + }; } } diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/DataHarmRateVFeignClientFallbackFactory.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/DataHarmRateVFeignClientFallbackFactory.java new file mode 100644 index 0000000..694f1b6 --- /dev/null +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/DataHarmRateVFeignClientFallbackFactory.java @@ -0,0 +1,46 @@ +package com.njcn.dataProcess.api.fallback; + +import com.njcn.common.pojo.enums.response.CommonResponseEnum; +import com.njcn.common.pojo.exception.BusinessException; +import com.njcn.common.pojo.response.HttpResult; +import com.njcn.dataProcess.api.DataHarmRateVFeignClient; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.pojo.dto.DataHarmDto; +import com.njcn.dataProcess.util.DataProcessingEnumUtil; +import feign.hystrix.FallbackFactory; +import lombok.extern.slf4j.Slf4j; +import org.springframework.stereotype.Component; + +import java.util.List; + +/** + * @author xy + */ +@Slf4j +@Component +public class DataHarmRateVFeignClientFallbackFactory implements FallbackFactory { + + /** + * 输出远程请求接口异常日志 + * @param cause RPC请求异常 + */ + @Override + public DataHarmRateVFeignClient create(Throwable cause) { + //判断抛出异常是否为解码器抛出的业务异常 + Enum exceptionEnum = CommonResponseEnum.SERVICE_FALLBACK; + if(cause.getCause() instanceof BusinessException){ + BusinessException businessException = (BusinessException) cause.getCause(); + exceptionEnum = DataProcessingEnumUtil.getExceptionEnum(businessException.getResult()); + } + Enum finalExceptionEnum = exceptionEnum; + return new DataHarmRateVFeignClient() { + + @Override + public HttpResult> getRawData(LineCountEvaluateParam lineParam) { + log.error("{}异常，降级处理，异常为：{}","获取原始数据",cause.toString()); + throw new BusinessException(finalExceptionEnum); + } + + }; + } +} diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/DataHarmphasicIFeignClientFallbackFactory.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/DataHarmphasicIFeignClientFallbackFactory.java index 3a78d60..5912783 100644 --- a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/DataHarmphasicIFeignClientFallbackFactory.java +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/DataHarmphasicIFeignClientFallbackFactory.java @@ -6,6 +6,9 @@ import com.njcn.common.pojo.response.HttpResult; import com.njcn.dataProcess.api.DataHarmphasicIFeignClient; import com.njcn.dataProcess.dto.DataHarmphasicIDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.pojo.dto.CommonMinuteDto; +import com.njcn.dataProcess.pojo.dto.DataHarmPhasicIDto; import com.njcn.dataProcess.util.DataProcessingEnumUtil; import feign.hystrix.FallbackFactory; import lombok.extern.slf4j.Slf4j; @@ -44,6 +47,18 @@ public class DataHarmphasicIFeignClientFallbackFactory implements FallbackFactor throw new BusinessException(finalExceptionEnum); } + @Override + public HttpResult> getBaseData(LineCountEvaluateParam lineParam) { + log.error("{}异常，降级处理，异常为：{}","获取算法原始数据",cause.toString()); + throw new BusinessException(finalExceptionEnum); + } + + @Override + public HttpResult addList(List data) { + log.error("{}异常，降级处理，异常为：{}","存储数据",cause.toString()); + throw new BusinessException(finalExceptionEnum); + } + }; } } diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/DataHarmphasicVFeignClientFallbackFactory.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/DataHarmphasicVFeignClientFallbackFactory.java new file mode 100644 index 0000000..7f15a62 --- /dev/null +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/DataHarmphasicVFeignClientFallbackFactory.java @@ -0,0 +1,70 @@ +package com.njcn.dataProcess.api.fallback; + +import com.njcn.common.pojo.enums.response.CommonResponseEnum; +import com.njcn.common.pojo.exception.BusinessException; +import com.njcn.common.pojo.response.HttpResult; +import com.njcn.dataProcess.api.DataHarmphasicVFeignClient; +import com.njcn.dataProcess.dto.DataHarmphasicVDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.pojo.dto.CommonMinuteDto; +import com.njcn.dataProcess.pojo.dto.DataHarmDto; +import com.njcn.dataProcess.pojo.dto.DataHarmPhasicVDto; +import com.njcn.dataProcess.util.DataProcessingEnumUtil; +import feign.hystrix.FallbackFactory; +import lombok.extern.slf4j.Slf4j; +import org.springframework.stereotype.Component; + +import java.util.List; + +/** + * @author denghuajun + * @version 1.0.0 + * @date 2022年01月05日 15:08 + */ +@Slf4j +@Component +public class DataHarmphasicVFeignClientFallbackFactory implements FallbackFactory { + + + /** + * 输出远程请求接口异常日志 + * @param cause RPC请求异常 + */ + @Override + public DataHarmphasicVFeignClient create(Throwable cause) { + //判断抛出异常是否为解码器抛出的业务异常 + Enum exceptionEnum = CommonResponseEnum.SERVICE_FALLBACK; + if(cause.getCause() instanceof BusinessException){ + BusinessException businessException = (BusinessException) cause.getCause(); + exceptionEnum = DataProcessingEnumUtil.getExceptionEnum(businessException.getResult()); + } + Enum finalExceptionEnum = exceptionEnum; + return new DataHarmphasicVFeignClient() { + + @Override + public HttpResult batchInsertion(List dataHarmphasicVDTOList) { + log.error("{}异常，降级处理，异常为：{}","批量插入数据",cause.toString()); + throw new BusinessException(finalExceptionEnum); + } + + @Override + public HttpResult> getRawData(LineCountEvaluateParam lineParam) { + log.error("{}异常，降级处理，异常为：{}","获取原始数据",cause.toString()); + throw new BusinessException(finalExceptionEnum); + } + + @Override + public HttpResult> getBaseData(LineCountEvaluateParam lineParam) { + log.error("{}异常，降级处理，异常为：{}","获取预处理数据",cause.toString()); + throw new BusinessException(finalExceptionEnum); + } + + @Override + public HttpResult addList(List data) { + log.error("{}异常，降级处理，异常为：{}","日表存储数据",cause.toString()); + throw new BusinessException(finalExceptionEnum); + } + + }; + } +} diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/DataHarmpowerPFeignClientFallbackFactory.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/DataHarmpowerPFeignClientFallbackFactory.java index b42c8cd..313f483 100644 --- a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/DataHarmpowerPFeignClientFallbackFactory.java +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/DataHarmpowerPFeignClientFallbackFactory.java @@ -5,6 +5,10 @@ import com.njcn.common.pojo.exception.BusinessException; import com.njcn.common.pojo.response.HttpResult; import com.njcn.dataProcess.api.DataHarmpowerPFeignClient; import com.njcn.dataProcess.dto.DataHarmpowerPDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.pojo.dto.CommonMinuteDto; +import com.njcn.dataProcess.pojo.dto.DataHarmPowerPDto; +import com.njcn.dataProcess.pojo.dto.DataPowerPDto; import com.njcn.dataProcess.util.DataProcessingEnumUtil; import feign.hystrix.FallbackFactory; import lombok.extern.slf4j.Slf4j; @@ -43,6 +47,24 @@ public class DataHarmpowerPFeignClientFallbackFactory implements FallbackFactory throw new BusinessException(finalExceptionEnum); } + @Override + public HttpResult> getRawData(LineCountEvaluateParam lineParam) { + log.error("{}异常，降级处理，异常为：{}","获取原始数据",cause.toString()); + throw new BusinessException(finalExceptionEnum); + } + + @Override + public HttpResult> getBaseData(LineCountEvaluateParam lineParam) { + log.error("{}异常，降级处理，异常为：{}","获取预处理数据",cause.toString()); + throw new BusinessException(finalExceptionEnum); + } + + @Override + public HttpResult addList(List data) { + log.error("{}异常，降级处理，异常为：{}","日表存储数据",cause.toString()); + throw new BusinessException(finalExceptionEnum); + } + }; } } diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/DataHarmpowerQFeignClientFallbackFactory.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/DataHarmpowerQFeignClientFallbackFactory.java index a55aba4..7ddc8be 100644 --- a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/DataHarmpowerQFeignClientFallbackFactory.java +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/DataHarmpowerQFeignClientFallbackFactory.java @@ -5,6 +5,9 @@ import com.njcn.common.pojo.exception.BusinessException; import com.njcn.common.pojo.response.HttpResult; import com.njcn.dataProcess.api.DataHarmpowerQFeignClient; import com.njcn.dataProcess.dto.DataHarmpowerQDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.pojo.dto.CommonMinuteDto; +import com.njcn.dataProcess.pojo.dto.DataHarmPowerQDto; import com.njcn.dataProcess.util.DataProcessingEnumUtil; import feign.hystrix.FallbackFactory; import lombok.extern.slf4j.Slf4j; @@ -43,6 +46,18 @@ public class DataHarmpowerQFeignClientFallbackFactory implements FallbackFactory throw new BusinessException(finalExceptionEnum); } + @Override + public HttpResult> getBaseData(LineCountEvaluateParam lineParam) { + log.error("{}异常，降级处理，异常为：{}","获取预处理数据",cause.toString()); + throw new BusinessException(finalExceptionEnum); + } + + @Override + public HttpResult addList(List data) { + log.error("{}异常，降级处理，异常为：{}","日表存储数据",cause.toString()); + throw new BusinessException(finalExceptionEnum); + } + }; } } diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/DataIFeignClientFallbackFactory.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/DataIFeignClientFallbackFactory.java index 95f456e..1c11019 100644 --- a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/DataIFeignClientFallbackFactory.java +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/DataIFeignClientFallbackFactory.java @@ -5,8 +5,10 @@ import com.njcn.common.pojo.exception.BusinessException; import com.njcn.common.pojo.response.HttpResult; import com.njcn.dataProcess.api.DataIFeignClient; import com.njcn.dataProcess.dto.DataIDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.pojo.dto.CommonMinuteDto; +import com.njcn.dataProcess.pojo.dto.DataIDto; import com.njcn.dataProcess.util.DataProcessingEnumUtil; -import com.njcn.system.utils.SystemEnumUtil; import feign.hystrix.FallbackFactory; import lombok.extern.slf4j.Slf4j; import org.springframework.stereotype.Component; @@ -44,6 +46,24 @@ public class DataIFeignClientFallbackFactory implements FallbackFactory> getRawData(LineCountEvaluateParam lineParam) { + log.error("{}异常，降级处理，异常为：{}","获取原始数据",cause.toString()); + throw new BusinessException(finalExceptionEnum); + } + + @Override + public HttpResult> getBaseData(LineCountEvaluateParam lineParam) { + log.error("{}异常，降级处理，异常为：{}","获取算法基础数据",cause.toString()); + throw new BusinessException(finalExceptionEnum); + } + + @Override + public HttpResult addList(List dataIDtoList) { + log.error("{}异常，降级处理，异常为：{}","关系型数据库插入数据",cause.toString()); + throw new BusinessException(finalExceptionEnum); + } + }; } } diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/DataInharmVFeignClientFallbackFactory.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/DataInharmVFeignClientFallbackFactory.java index 9473246..bf3defa 100644 --- a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/DataInharmVFeignClientFallbackFactory.java +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/DataInharmVFeignClientFallbackFactory.java @@ -5,8 +5,9 @@ import com.njcn.common.pojo.exception.BusinessException; import com.njcn.common.pojo.response.HttpResult; import com.njcn.dataProcess.api.DataInharmVFeignClient; import com.njcn.dataProcess.dto.DataInharmVDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.pojo.dto.DataHarmDto; import com.njcn.dataProcess.util.DataProcessingEnumUtil; -import com.njcn.system.utils.SystemEnumUtil; import feign.hystrix.FallbackFactory; import lombok.extern.slf4j.Slf4j; import org.springframework.stereotype.Component; @@ -44,6 +45,12 @@ public class DataInharmVFeignClientFallbackFactory implements FallbackFactory> getRawData(LineCountEvaluateParam lineParam) { + log.error("{}异常，降级处理，异常为：{}","获取原始数据",cause.toString()); + throw new BusinessException(finalExceptionEnum); + } + }; } } diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/DataPltFeignClientFallbackFactory.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/DataPltFeignClientFallbackFactory.java index 3c20782..d952de3 100644 --- a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/DataPltFeignClientFallbackFactory.java +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/DataPltFeignClientFallbackFactory.java @@ -5,8 +5,9 @@ import com.njcn.common.pojo.exception.BusinessException; import com.njcn.common.pojo.response.HttpResult; import com.njcn.dataProcess.api.DataPltFeignClient; import com.njcn.dataProcess.dto.DataPltDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.pojo.dto.DataPltDto; import com.njcn.dataProcess.util.DataProcessingEnumUtil; -import com.njcn.system.utils.SystemEnumUtil; import feign.hystrix.FallbackFactory; import lombok.extern.slf4j.Slf4j; import org.springframework.stereotype.Component; @@ -44,6 +45,12 @@ public class DataPltFeignClientFallbackFactory implements FallbackFactory> getRawData(LineCountEvaluateParam lineParam) { + log.error("{}异常，降级处理，异常为：{}","获取原始数据",cause.toString()); + throw new BusinessException(finalExceptionEnum); + } + }; } } diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/PqDataVerifyFeignClientFallbackFactory.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/PqDataVerifyFeignClientFallbackFactory.java new file mode 100644 index 0000000..eb7f021 --- /dev/null +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/PqDataVerifyFeignClientFallbackFactory.java @@ -0,0 +1,53 @@ +package com.njcn.dataProcess.api.fallback; + +import com.njcn.common.pojo.enums.response.CommonResponseEnum; +import com.njcn.common.pojo.exception.BusinessException; +import com.njcn.common.pojo.response.HttpResult; +import com.njcn.dataProcess.api.PqDataVerifyFeignClient; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.pojo.po.PqDataVerify; +import com.njcn.dataProcess.util.DataProcessingEnumUtil; +import feign.hystrix.FallbackFactory; +import lombok.extern.slf4j.Slf4j; +import org.springframework.stereotype.Component; + +import java.util.List; + +/** + * @author xy + * @version 1.0.0 + * @date 2025年02月13日 20:13 + */ +@Slf4j +@Component +public class PqDataVerifyFeignClientFallbackFactory implements FallbackFactory { + + /** + * 输出远程请求接口异常日志 + * @param cause RPC请求异常 + */ + @Override + public PqDataVerifyFeignClient create(Throwable cause) { + //判断抛出异常是否为解码器抛出的业务异常 + Enum exceptionEnum = CommonResponseEnum.SERVICE_FALLBACK; + if(cause.getCause() instanceof BusinessException){ + BusinessException businessException = (BusinessException) cause.getCause(); + exceptionEnum = DataProcessingEnumUtil.getExceptionEnum(businessException.getResult()); + } + Enum finalExceptionEnum = exceptionEnum; + return new PqDataVerifyFeignClient() { + + @Override + public HttpResult> insertData(List list) { + log.error("{}异常，降级处理，异常为：{}","存储清洗的异常数据",cause.toString()); + throw new BusinessException(finalExceptionEnum); + } + + @Override + public HttpResult> queryData(LineCountEvaluateParam param) { + log.error("{}异常，降级处理，异常为：{}","查询清洗的异常数据",cause.toString()); + throw new BusinessException(finalExceptionEnum); + } + }; + } +} diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/PqReasonableRangeFeignClientFallbackFactory.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/PqReasonableRangeFeignClientFallbackFactory.java new file mode 100644 index 0000000..79caf91 --- /dev/null +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/PqReasonableRangeFeignClientFallbackFactory.java @@ -0,0 +1,47 @@ +package com.njcn.dataProcess.api.fallback; + +import com.njcn.common.pojo.enums.response.CommonResponseEnum; +import com.njcn.common.pojo.exception.BusinessException; +import com.njcn.common.pojo.response.HttpResult; +import com.njcn.dataProcess.api.PqReasonableRangeFeignClient; +import com.njcn.dataProcess.param.DataCleanParam; +import com.njcn.dataProcess.pojo.dto.PqReasonableRangeDto; +import com.njcn.dataProcess.util.DataProcessingEnumUtil; +import feign.hystrix.FallbackFactory; +import lombok.extern.slf4j.Slf4j; +import org.springframework.stereotype.Component; + +import java.util.List; + +/** + * @author xy + * @version 1.0.0 + * @date 2025年02月13日 20:13 + */ +@Slf4j +@Component +public class PqReasonableRangeFeignClientFallbackFactory implements FallbackFactory { + + /** + * 输出远程请求接口异常日志 + * @param cause RPC请求异常 + */ + @Override + public PqReasonableRangeFeignClient create(Throwable cause) { + //判断抛出异常是否为解码器抛出的业务异常 + Enum exceptionEnum = CommonResponseEnum.SERVICE_FALLBACK; + if(cause.getCause() instanceof BusinessException){ + BusinessException businessException = (BusinessException) cause.getCause(); + exceptionEnum = DataProcessingEnumUtil.getExceptionEnum(businessException.getResult()); + } + Enum finalExceptionEnum = exceptionEnum; + return new PqReasonableRangeFeignClient() { + + @Override + public HttpResult> getData(DataCleanParam param) { + log.error("{}异常，降级处理，异常为：{}","按条件获取数据合理范围",cause.toString()); + throw new BusinessException(finalExceptionEnum); + } + }; + } +} diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/enums/DataCleanEnum.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/enums/DataCleanEnum.java new file mode 100644 index 0000000..83b6d37 --- /dev/null +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/enums/DataCleanEnum.java @@ -0,0 +1,94 @@ +package com.njcn.dataProcess.enums; + +import lombok.Getter; + +/** + * 数据清洗枚举值 + * + * @author xy + * @version 1.0 + * @data 2025/2/13 15:08 + */ +@Getter +public enum DataCleanEnum { + + /** + * 所属系统 + */ + Pqs("pqs","数据中心"), + Govern("govern","治理"), + + /** + * 数据来源 + */ + InfluxDB("InfluxDB","时序数据库"), + MySql("MySql","关系型数据库"), + + /** + * 数据表名 + */ + DataV("DataV","电压表"), + DataHarmPhasicV("DataHarmPhasicV","谐波电压相角表"), + DataI("DataI","电路表"), + DataFlicker("DataFlicker","短闪表"), + DataPlt("DataPlt","长闪表"), + DataFluc("DataFluc","电压波动"), + DataInHarmV("DataInHarmV","间谐波电压含有率表"), + DataHarmRateV("DataHarmRateV","谐波电压含有率表"), + DataHarmPowerP("DataHarmPowerP","功率因数表"), + RMpEventDetail("r_mp_event_detail","暂降表"), + + /** + * 指标名称 + */ + //DataFlicker + Pst("pst","短时闪变"), + + //DataFluc + Fluc("fluc","电压波动"), + + //DataHarmPhasicV + V("v","次谐波电压基波相角"), + + //DataHarmRateV + V_Rate("v","次谐波电压含有率"), + + //DataHarmPowerP + Pf("pf","视在功率因素"), + + //DataI + RmsI("rms","电流有效值"), + + //DataInHarmV + V_InHarm("v","次间谐波电压含有率"), + + //DataPlt + Plt("plt","长时闪变"), + + //DataV + FreqDev("freq_dev","频率偏差"), + Freq("freq","频率"), + RmsV("rms","相电压有效值"), + VPos("v_pos","正序电压"), + VNeg("v_neg","负序电压"), + VZero("v_zero","零序电压"), + VUnbalance("v_unbalance","电压不平衡度"), + RmsLvr("rms_lvr","线电压有效值"), + VuDev("vu_dev","线电压正偏差"), + VlDev("vl_dev","线电压负偏差"), + VThd("v_thd","电压总谐波畸变率"), + V_Data("v_1","相（线）电压基波有效值"), + + //r_mp_event_detail + VoltageDip("Voltage_Dip","相（线）电压基波有效值"), + VoltageRise("Voltage_Rise","相（线）电压基波有效值"); + + private String code; + + private String desc; + + DataCleanEnum(String code, String desc) { + this.code = code; + this.desc = desc; + } +} diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/param/DataCleanParam.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/param/DataCleanParam.java new file mode 100644 index 0000000..9f4248d --- /dev/null +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/param/DataCleanParam.java @@ -0,0 +1,23 @@ +package com.njcn.dataProcess.param; + +import io.swagger.annotations.ApiModelProperty; +import lombok.Data; + +import java.io.Serializable; + +/** + * @author xy + */ +@Data +public class DataCleanParam implements Serializable { + + @ApiModelProperty("系统类型") + private String systemType; + + @ApiModelProperty("数据来源") + private String dataSource; + + @ApiModelProperty("表名") + private String tableName; + +} diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/param/LineCountEvaluateParam.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/param/LineCountEvaluateParam.java index 93bb125..e270ed1 100644 --- a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/param/LineCountEvaluateParam.java +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/param/LineCountEvaluateParam.java @@ -3,7 +3,9 @@ package com.njcn.dataProcess.param; import lombok.Data; import java.io.Serializable; +import java.time.LocalDateTime; import java.util.List; +import java.util.Map; /** * 监测点有效数值统计数据评估入参 @@ -19,4 +21,15 @@ public class LineCountEvaluateParam extends BaseParam implements Serializable { */ private List lineId; + /** + * 表名 + */ + private String tableName; + + /** + * 异常数据时间集合 + * Map> key:监测点id value:异常时间集合 + */ + private Map> abnormalTime; + } diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataFlicker.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataFlicker.java index 7d5f6ee..2a9694f 100644 --- a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataFlicker.java +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataFlicker.java @@ -31,7 +31,7 @@ public class DataFlicker { private String lineId; @Column(name = "phasic_type",tag = true) - private String phaseType; + private String phasicType; @Column(name = "fluc") private Double fluc=0.00; @@ -56,7 +56,7 @@ public class DataFlicker { influxDBDataFlicker.setTime(instant); influxDBDataFlicker.setLineId(dataFlicker.getLineid()); - influxDBDataFlicker.setPhaseType(dataFlicker.getPhasicType()); + influxDBDataFlicker.setPhasicType(dataFlicker.getPhasicType()); influxDBDataFlicker.setFluc(Objects.isNull(dataFlicker.getFluc())?0.00:dataFlicker.getFluc()); influxDBDataFlicker.setPlt(Objects.isNull(dataFlicker.getPst())?0.00:dataFlicker.getPst()); influxDBDataFlicker.setPst(Objects.isNull(dataFlicker.getPlt())?0.00:dataFlicker.getPlt()); diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataFluc.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataFluc.java index b332624..c08d996 100644 --- a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataFluc.java +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataFluc.java @@ -31,7 +31,7 @@ public class DataFluc { private String lineId; @Column(name = "phasic_type",tag = true) - private String phaseType; + private String phasicType; @Column(name = "fluc") private Double fluc=0.00; @@ -53,7 +53,7 @@ public class DataFluc { influxDBDataFluc.setTime(instant); influxDBDataFluc.setLineId(dataFluc.getLineid()); - influxDBDataFluc.setPhaseType(dataFluc.getPhasicType()); + influxDBDataFluc.setPhasicType(dataFluc.getPhasicType()); influxDBDataFluc.setFluc(Objects.isNull(dataFluc.getFluc())?0.00:dataFluc.getFluc()); influxDBDataFluc.setFluccf(Objects.isNull(dataFluc.getFluccf())?0.00:dataFluc.getFluccf()); influxDBDataFluc.setQualityFlag(dataFluc.getQualityflag()+""); diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataHarmphasicI.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataHarmphasicI.java index 0573970..adf24eb 100644 --- a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataHarmphasicI.java +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataHarmphasicI.java @@ -35,7 +35,7 @@ public class DataHarmphasicI { private String lineId; @Column(name = "phasic_type",tag = true) - private String phaseType; + private String phasicType; @Column(name = "quality_flag",tag = true) private String qualityFlag; @@ -206,7 +206,7 @@ public class DataHarmphasicI { influxDBDataHarmPhasicI.setTime(instant); influxDBDataHarmPhasicI.setLineId(dataHarmphasicI.getLineid()); - influxDBDataHarmPhasicI.setPhaseType(dataHarmphasicI.getPhasicType()); + influxDBDataHarmPhasicI.setPhasicType(dataHarmphasicI.getPhasicType()); influxDBDataHarmPhasicI.setQualityFlag(dataHarmphasicI.getQualityflag()+""); influxDBDataHarmPhasicI.setValueType(valueType); if (valueType.equals("AVG")) { diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataHarmphasicV.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataHarmphasicV.java index aa376fe..41dec23 100644 --- a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataHarmphasicV.java +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataHarmphasicV.java @@ -36,7 +36,7 @@ public class DataHarmphasicV { private String lineId; @Column(name = "phasic_type",tag = true) - private String phaseType; + private String phasicType; @Column(name = "quality_flag",tag = true) private String qualityFlag; @@ -206,7 +206,7 @@ public class DataHarmphasicV { InfluxDBDataHarmphasicV.setTime(instant); InfluxDBDataHarmphasicV.setLineId(dataHarmphasicV.getLineid()); - InfluxDBDataHarmphasicV.setPhaseType(dataHarmphasicV.getPhasicType()); + InfluxDBDataHarmphasicV.setPhasicType(dataHarmphasicV.getPhasicType()); InfluxDBDataHarmphasicV.setQualityFlag(dataHarmphasicV.getQualityflag()+""); InfluxDBDataHarmphasicV.setValueType(valueType); if (valueType.equals("AVG")) { diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataHarmpowerP.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataHarmpowerP.java index 380cedd..a5aac91 100644 --- a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataHarmpowerP.java +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataHarmpowerP.java @@ -36,7 +36,7 @@ public class DataHarmpowerP { private String lineId; @Column(name = "phasic_type",tag = true) - private String phaseType; + private String phasicType; @Column(name = "quality_flag",tag = true) private String qualityFlag; @@ -215,7 +215,7 @@ public class DataHarmpowerP { influxDBDataHarmpowerP.setTime(instant); influxDBDataHarmpowerP.setLineId(dataHarmpowerP.getLineid()); - influxDBDataHarmpowerP.setPhaseType(dataHarmpowerP.getPhasicType()); + influxDBDataHarmpowerP.setPhasicType(dataHarmpowerP.getPhasicType()); influxDBDataHarmpowerP.setQualityFlag(dataHarmpowerP.getQualityflag()+""); influxDBDataHarmpowerP.setValueType(valueType); if (valueType.equals("AVG")) { diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataHarmpowerQ.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataHarmpowerQ.java index 89f8bdc..deb975d 100644 --- a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataHarmpowerQ.java +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataHarmpowerQ.java @@ -36,7 +36,7 @@ public class DataHarmpowerQ { private String lineId; @Column(name = "phasic_type",tag = true) - private String phaseType; + private String phasicType; @Column(name = "quality_flag",tag = true) private String qualityFlag; @@ -209,7 +209,7 @@ public class DataHarmpowerQ { influxDBDataHarmpowerQ.setTime(instant); influxDBDataHarmpowerQ.setLineId(dataHarmpowerQ.getLineid()); - influxDBDataHarmpowerQ.setPhaseType(dataHarmpowerQ.getPhasicType()); + influxDBDataHarmpowerQ.setPhasicType(dataHarmpowerQ.getPhasicType()); influxDBDataHarmpowerQ.setQualityFlag(dataHarmpowerQ.getQualityflag()+""); influxDBDataHarmpowerQ.setValueType(valueType); if (valueType.equals("AVG")) { diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataHarmpowerS.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataHarmpowerS.java index dfe67bc..10d60ba 100644 --- a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataHarmpowerS.java +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataHarmpowerS.java @@ -36,7 +36,7 @@ public class DataHarmpowerS { private String lineId; @Column(name = "phasic_type",tag = true) - private String phaseType; + private String phasicType; @Column(name = "quality_flag",tag = true) private String qualityFlag; @@ -209,7 +209,7 @@ public class DataHarmpowerS { influxDBDataHarmpowerS.setTime(instant); influxDBDataHarmpowerS.setLineId(dataHarmpowerS.getLineid()); - influxDBDataHarmpowerS.setPhaseType(dataHarmpowerS.getPhasicType()); + influxDBDataHarmpowerS.setPhasicType(dataHarmpowerS.getPhasicType()); influxDBDataHarmpowerS.setQualityFlag(dataHarmpowerS.getQualityflag()+""); influxDBDataHarmpowerS.setValueType(valueType); if (valueType.equals("AVG")) { diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataHarmrateI.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataHarmrateI.java index 0e79079..7b1e43e 100644 --- a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataHarmrateI.java +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataHarmrateI.java @@ -35,7 +35,7 @@ public class DataHarmrateI { private String lineId; @Column(name = "phasic_type",tag = true) - private String phaseType; + private String phasicType; @Column(name = "quality_flag",tag = true) private String qualityFlag; @@ -205,7 +205,7 @@ public class DataHarmrateI { influxDBDataHarmRateI.setTime(instant); influxDBDataHarmRateI.setLineId(dataHarmrateI.getLineid()); - influxDBDataHarmRateI.setPhaseType(dataHarmrateI.getPhasicType()); + influxDBDataHarmRateI.setPhasicType(dataHarmrateI.getPhasicType()); influxDBDataHarmRateI.setQualityFlag(dataHarmrateI.getQualityflag()+""); influxDBDataHarmRateI.setValueType(valueType); if (valueType.equals("AVG")) { diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataHarmrateV.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataHarmrateV.java index fa57f4e..9f2a195 100644 --- a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataHarmrateV.java +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataHarmrateV.java @@ -35,7 +35,7 @@ public class DataHarmrateV { private String lineId; @Column(name = "phasic_type",tag = true) - private String phaseType; + private String phasicType; @Column(name = "quality_flag",tag = true) private String qualityFlag; @@ -205,7 +205,7 @@ public class DataHarmrateV { influxDBDataHarmRateV.setTime(instant); influxDBDataHarmRateV.setLineId(dataHarmrateV.getLineid()); - influxDBDataHarmRateV.setPhaseType(dataHarmrateV.getPhasicType()); + influxDBDataHarmRateV.setPhasicType(dataHarmrateV.getPhasicType()); influxDBDataHarmRateV.setQualityFlag(dataHarmrateV.getQualityflag()+""); influxDBDataHarmRateV.setValueType(valueType); if (valueType.equals("AVG")) { diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataI.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataI.java index 5ab9fab..e200aeb 100644 --- a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataI.java +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataI.java @@ -36,7 +36,7 @@ public class DataI { private String lineId; @Column(name = "phasic_type",tag = true) - private String phaseType; + private String phasicType; @Column(name = "quality_flag",tag = true) private String qualityFlag; @@ -224,7 +224,7 @@ public class DataI { influxDBDataI.setTime(instant); influxDBDataI.setLineId(dataI.getLineid()); - influxDBDataI.setPhaseType(dataI.getPhasicType()); + influxDBDataI.setPhasicType(dataI.getPhasicType()); influxDBDataI.setQualityFlag(dataI.getQualityflag()+""); influxDBDataI.setValueType(valueType); if (valueType.equals("AVG")) { diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataInharmI.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataInharmI.java index b4fa8a0..607084e 100644 --- a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataInharmI.java +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataInharmI.java @@ -36,7 +36,7 @@ public class DataInharmI { private String lineId; @Column(name = "phasic_type",tag = true) - private String phaseType; + private String phasicType; @Column(name = "quality_flag",tag = true) private String qualityFlag; @@ -207,7 +207,7 @@ public class DataInharmI { influxDBDataInHarmI.setTime(instant); influxDBDataInHarmI.setLineId(dataInharmI.getLineid()); - influxDBDataInHarmI.setPhaseType(dataInharmI.getPhasicType()); + influxDBDataInHarmI.setPhasicType(dataInharmI.getPhasicType()); influxDBDataInHarmI.setQualityFlag(dataInharmI.getQualityflag()+""); influxDBDataInHarmI.setValueType(valueType); if (valueType.equals("AVG")) { diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataInharmV.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataInharmV.java index 7f5810c..b8fbba6 100644 --- a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataInharmV.java +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataInharmV.java @@ -36,7 +36,7 @@ public class DataInharmV { private String lineId; @Column(name = "phasic_type",tag = true) - private String phaseType; + private String phasicType; @Column(name = "quality_flag",tag = true) private String qualityFlag; @@ -206,7 +206,7 @@ public class DataInharmV { influxDBDataInHarmV.setTime(instant); influxDBDataInHarmV.setLineId(dataInharmV.getLineid()); - influxDBDataInHarmV.setPhaseType(dataInharmV.getPhasicType()); + influxDBDataInHarmV.setPhasicType(dataInharmV.getPhasicType()); influxDBDataInHarmV.setQualityFlag(dataInharmV.getQualityflag()+""); influxDBDataInHarmV.setValueType(valueType); if (valueType.equals("AVG")) { diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataPlt.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataPlt.java index 19d4803..915a0d8 100644 --- a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataPlt.java +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataPlt.java @@ -32,7 +32,7 @@ public class DataPlt { private String lineId; @Column(name = "phasic_type",tag = true) - private String phaseType; + private String phasicType; @Column(name = "quality_flag",tag = true) private String qualityFlag; @@ -50,7 +50,7 @@ public class DataPlt { influxDBDataPlt.setTime(instant); influxDBDataPlt.setLineId(dataPlt.getLineid()); - influxDBDataPlt.setPhaseType(dataPlt.getPhasicType()); + influxDBDataPlt.setPhasicType(dataPlt.getPhasicType()); influxDBDataPlt.setPlt(Objects.isNull(dataPlt.getPlt())?0.00:dataPlt.getPlt()); influxDBDataPlt.setQualityFlag(dataPlt.getQualityflag()+""); diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/CommonMinuteDto.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/CommonMinuteDto.java index 9b27351..b5f0682 100644 --- a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/CommonMinuteDto.java +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/CommonMinuteDto.java @@ -20,6 +20,9 @@ public class CommonMinuteDto implements Serializable { @ApiModelProperty("监测点Id") private String lineId; + @ApiModelProperty("数据质量 0:正常 1:异常") + private String qualityFlag; + private List phasicTypeList; @Data diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataFlickerDto.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataFlickerDto.java new file mode 100644 index 0000000..ef4f717 --- /dev/null +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataFlickerDto.java @@ -0,0 +1,45 @@ +package com.njcn.dataProcess.pojo.dto; + +import com.fasterxml.jackson.annotation.JsonFormat; +import io.swagger.annotations.ApiModelProperty; +import lombok.Data; + +import java.io.Serializable; + +/** + * @author xy + */ +@Data +public class DataFlickerDto implements Serializable { + + @JsonFormat(pattern = "yyyy-MM-dd") + private String time; + + @JsonFormat(pattern = "yyyy-MM-dd HH:mm:ss") + private String minTime; + + @ApiModelProperty("监测点Id") + private String lineId; + + @ApiModelProperty("相别,'A'表示A相，'B'表示B相,'C'表示C相,'T'表示总, 'M'表示无相别") + private String phasicType; + + @ApiModelProperty("数据类型 最大值：max、最小值：min、平均值：avg、95值：cp95") + private String valueType; + + @ApiModelProperty("数据质量标志（0-表示是正常数据、1-表示是错误数据、2-表示是有事件的数据）数据库默认是0，污染数据不参与报表统计") + private String qualityFlag; + + @ApiModelProperty("数据清洗标识 0:正常 1:异常") + private Integer abnormalFlag; + + @ApiModelProperty("电压波动") + private Double fluc; + + @ApiModelProperty("短时闪变") + private Double pst; + + @ApiModelProperty("长时闪变") + private Double plt; + +} diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataFlucDto.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataFlucDto.java new file mode 100644 index 0000000..8def556 --- /dev/null +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataFlucDto.java @@ -0,0 +1,42 @@ +package com.njcn.dataProcess.pojo.dto; + +import com.fasterxml.jackson.annotation.JsonFormat; +import io.swagger.annotations.ApiModelProperty; +import lombok.Data; + +import java.io.Serializable; + +/** + * @author xy + */ +@Data +public class DataFlucDto implements Serializable { + + @JsonFormat(pattern = "yyyy-MM-dd") + private String time; + + @JsonFormat(pattern = "yyyy-MM-dd HH:mm:ss") + private String minTime; + + @ApiModelProperty("监测点Id") + private String lineId; + + @ApiModelProperty("相别,'A'表示A相，'B'表示B相,'C'表示C相,'T'表示总, 'M'表示无相别") + private String phasicType; + + @ApiModelProperty("数据类型 最大值：max、最小值：min、平均值：avg、95值：cp95") + private String valueType; + + @ApiModelProperty("数据质量标志（0-表示是正常数据、1-表示是错误数据、2-表示是有事件的数据）数据库默认是0，污染数据不参与报表统计") + private String qualityFlag; + + @ApiModelProperty("数据清洗标识 0:正常 1:异常") + private Integer abnormalFlag; + + @ApiModelProperty("电压波动") + private Double fluc; + + @ApiModelProperty("电压波动频度") + private Double fluccf; + +} diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataHarmDto.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataHarmDto.java new file mode 100644 index 0000000..8fbfb5f --- /dev/null +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataHarmDto.java @@ -0,0 +1,145 @@ +package com.njcn.dataProcess.pojo.dto; + +import com.fasterxml.jackson.annotation.JsonFormat; +import io.swagger.annotations.ApiModelProperty; +import lombok.Data; + +import java.io.Serializable; + +/** + * @author xy + */ +@Data +public class DataHarmDto implements Serializable { + + @JsonFormat(pattern = "yyyy-MM-dd") + private String time; + + @JsonFormat(pattern = "yyyy-MM-dd HH:mm:ss") + private String minTime; + + @ApiModelProperty("监测点Id") + private String lineId; + + @ApiModelProperty("相别,'A'表示A相，'B'表示B相,'C'表示C相,'T'表示总, 'M'表示无相别") + private String phasicType; + + @ApiModelProperty("数据类型 最大值：max、最小值：min、平均值：avg、95值：cp95") + private String valueType; + + @ApiModelProperty("数据质量标志（0-表示是正常数据、1-表示是错误数据、2-表示是有事件的数据）数据库默认是0，污染数据不参与报表统计") + private String qualityFlag; + + @ApiModelProperty("数据清洗标识 0:正常 1:异常") + private Integer abnormalFlag; + + @ApiModelProperty("0.5次间谐波电压含有率") + private Double v1; + + @ApiModelProperty("1.5次间谐波电压含有率(2次谐波电压含有率)") + private Double v2; + + @ApiModelProperty("2.5次间谐波电压含有率(3次谐波电压含有率)") + private Double v3; + + @ApiModelProperty("3.5次间谐波电压含有率(4次谐波电压含有率)") + private Double v4; + + @ApiModelProperty("4.5次间谐波电压含有率(5次谐波电压含有率)") + private Double v5; + + @ApiModelProperty("5.5次间谐波电压含有率(6次谐波电压含有率)") + private Double v6; + + @ApiModelProperty("6.5次间谐波电压含有率(7次谐波电压含有率)") + private Double v7; + + @ApiModelProperty("7.5次间谐波电压含有率(8次谐波电压含有率)") + private Double v8; + + private Double v9; + + private Double v10; + + private Double v11; + + private Double v12; + + private Double v13; + + private Double v14; + + private Double v15; + + private Double v16; + + private Double v17; + + private Double v18; + + private Double v19; + + private Double v20; + + private Double v21; + + private Double v22; + + private Double v23; + + private Double v24; + + private Double v25; + + private Double v26; + + private Double v27; + + private Double v28; + + private Double v29; + + private Double v30; + + private Double v31; + + private Double v32; + + private Double v33; + + private Double v34; + + private Double v35; + + private Double v36; + + private Double v37; + + private Double v38; + + private Double v39; + + private Double v40; + + private Double v41; + + private Double v42; + + private Double v43; + + private Double v44; + + private Double v45; + + private Double v46; + + private Double v47; + + private Double v48; + + private Double v49; + + @ApiModelProperty("49.5次间谐波电压含有率(50次谐波电压含有率)") + private Double v50; + +} diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataHarmPhasicIDto.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataHarmPhasicIDto.java new file mode 100644 index 0000000..657e8c9 --- /dev/null +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataHarmPhasicIDto.java @@ -0,0 +1,145 @@ +package com.njcn.dataProcess.pojo.dto; + +import com.fasterxml.jackson.annotation.JsonFormat; +import io.swagger.annotations.ApiModelProperty; +import lombok.Data; + +import java.io.Serializable; + +/** + * @author xy + */ +@Data +public class DataHarmPhasicIDto implements Serializable { + + @JsonFormat(pattern = "yyyy-MM-dd") + private String time; + + @JsonFormat(pattern = "yyyy-MM-dd HH:mm:ss") + private String minTime; + + @ApiModelProperty("监测点Id") + private String lineId; + + @ApiModelProperty("相别,'A'表示A相，'B'表示B相,'C'表示C相,'T'表示总, 'M'表示无相别") + private String phasicType; + + @ApiModelProperty("数据类型 最大值：max、最小值：min、平均值：avg、95值：cp95") + private String valueType; + + @ApiModelProperty("数据质量标志（0-表示是正常数据、1-表示是错误数据、2-表示是有事件的数据）数据库默认是0，污染数据不参与报表统计") + private String qualityFlag; + + @ApiModelProperty("数据清洗标识 0:正常 1:异常") + private Integer abnormalFlag; + + @ApiModelProperty("基波电流相角") + private Double i1; + + @ApiModelProperty("2次谐波电流相角") + private Double i2; + + @ApiModelProperty("3次谐波电流相角") + private Double i3; + + @ApiModelProperty("4次谐波电流相角") + private Double i4; + + @ApiModelProperty("5次谐波电流相角") + private Double i5; + + @ApiModelProperty("6次谐波电流相角") + private Double i6; + + @ApiModelProperty("7次谐波电流相角") + private Double i7; + + @ApiModelProperty("8次谐波电流相角") + private Double i8; + + private Double i9; + + private Double i10; + + private Double i11; + + private Double i12; + + private Double i13; + + private Double i14; + + private Double i15; + + private Double i16; + + private Double i17; + + private Double i18; + + private Double i19; + + private Double i20; + + private Double i21; + + private Double i22; + + private Double i23; + + private Double i24; + + private Double i25; + + private Double i26; + + private Double i27; + + private Double i28; + + private Double i29; + + private Double i30; + + private Double i31; + + private Double i32; + + private Double i33; + + private Double i34; + + private Double i35; + + private Double i36; + + private Double i37; + + private Double i38; + + private Double i39; + + private Double i40; + + private Double i41; + + private Double i42; + + private Double i43; + + private Double i44; + + private Double i45; + + private Double i46; + + private Double i47; + + private Double i48; + + private Double i49; + + @ApiModelProperty("50次谐波电流相角") + private Double i50; + +} diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataHarmPhasicVDto.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataHarmPhasicVDto.java new file mode 100644 index 0000000..321ec29 --- /dev/null +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataHarmPhasicVDto.java @@ -0,0 +1,146 @@ +package com.njcn.dataProcess.pojo.dto; + +import com.fasterxml.jackson.annotation.JsonFormat; +import io.swagger.annotations.ApiModelProperty; +import lombok.Data; + +import java.io.Serializable; + +/** + * @author xy + */ +@Data +public class DataHarmPhasicVDto implements Serializable { + + @JsonFormat(pattern = "yyyy-MM-dd") + private String time; + + @JsonFormat(pattern = "yyyy-MM-dd HH:mm:ss") + private String minTime; + + @ApiModelProperty("监测点Id") + private String lineId; + + @ApiModelProperty("相别,'A'表示A相，'B'表示B相,'C'表示C相,'T'表示总, 'M'表示无相别") + private String phasicType; + + @ApiModelProperty("数据类型 最大值：max、最小值：min、平均值：avg、95值：cp95") + private String valueType; + + @ApiModelProperty("数据质量标志（0-表示是正常数据、1-表示是错误数据、2-表示是有事件的数据）数据库默认是0，污染数据不参与报表统计") + private String qualityFlag; + + @ApiModelProperty("数据清洗标识 0:正常 1:异常") + private Integer abnormalFlag; + + @ApiModelProperty("基波电压相角") + private Double v1; + + @ApiModelProperty("2次谐波电压相角") + private Double v2; + + @ApiModelProperty("3次谐波电压相角") + private Double v3; + + @ApiModelProperty("4次谐波电压相角") + private Double v4; + + @ApiModelProperty("5次谐波电压相角") + private Double v5; + + @ApiModelProperty("6次谐波电压相角") + private Double v6; + + @ApiModelProperty("7次谐波电压相角") + private Double v7; + + @ApiModelProperty("8次谐波电压相角") + private Double v8; + + private Double v9; + + private Double v10; + + private Double v11; + + private Double v12; + + private Double v13; + + private Double v14; + + private Double v15; + + private Double v16; + + private Double v17; + + private Double v18; + + private Double v19; + + private Double v20; + + private Double v21; + + private Double v22; + + private Double v23; + + private Double v24; + + private Double v25; + + private Double v26; + + private Double v27; + + private Double v28; + + private Double v29; + + private Double v30; + + private Double v31; + + private Double v32; + + private Double v33; + + private Double v34; + + private Double v35; + + private Double v36; + + private Double v37; + + private Double v38; + + private Double v39; + + private Double v40; + + private Double v41; + + private Double v42; + + private Double v43; + + private Double v44; + + private Double v45; + + private Double v46; + + private Double v47; + + private Double v48; + + private Double v49; + + @ApiModelProperty("50次谐波电压相角") + private Double v50; + + +} diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataHarmPowerPDto.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataHarmPowerPDto.java new file mode 100644 index 0000000..1027ddf --- /dev/null +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataHarmPowerPDto.java @@ -0,0 +1,153 @@ +package com.njcn.dataProcess.pojo.dto; + +import com.fasterxml.jackson.annotation.JsonFormat; +import io.swagger.annotations.ApiModelProperty; +import lombok.Data; + +import java.io.Serializable; + +/** + * @author xy + */ +@Data +public class DataHarmPowerPDto implements Serializable { + + @JsonFormat(pattern = "yyyy-MM-dd") + private String time; + + @JsonFormat(pattern = "yyyy-MM-dd HH:mm:ss") + private String minTime; + + @ApiModelProperty("监测点Id") + private String lineId; + + @ApiModelProperty("相别,'A'表示A相，'B'表示B相,'C'表示C相,'T'表示总, 'M'表示无相别") + private String phasicType; + + @ApiModelProperty("数据类型 最大值：max、最小值：min、平均值：avg、95值：cp95") + private String valueType; + + @ApiModelProperty("数据质量标志（0-表示是正常数据、1-表示是错误数据、2-表示是有事件的数据）数据库默认是0，污染数据不参与报表统计") + private String qualityFlag; + + @ApiModelProperty("数据清洗标识 0:正常 1:异常") + private Integer abnormalFlag; + + @ApiModelProperty("视在功率因素") + private Double pf; + + @ApiModelProperty("位移功率因数") + private Double df; + + @ApiModelProperty("总有功功率") + private Double p; + + @ApiModelProperty("基波有功功率") + private Double p1; + + @ApiModelProperty("2次谐波有功功率") + private Double p2; + + @ApiModelProperty("3次谐波有功功率") + private Double p3; + + @ApiModelProperty("4次谐波有功功率") + private Double p4; + + @ApiModelProperty("5次谐波有功功率") + private Double p5; + + @ApiModelProperty("6次谐波有功功率") + private Double p6; + + @ApiModelProperty("7次谐波有功功率") + private Double p7; + + @ApiModelProperty("8次谐波有功功率") + private Double p8; + + private Double p9; + + private Double p10; + + private Double p11; + + private Double p12; + + private Double p13; + + private Double p14; + + private Double p15; + + private Double p16; + + private Double p17; + + private Double p18; + + private Double p19; + + private Double p20; + + private Double p21; + + private Double p22; + + private Double p23; + + private Double p24; + + private Double p25; + + private Double p26; + + private Double p27; + + private Double p28; + + private Double p29; + + private Double p30; + + private Double p31; + + private Double p32; + + private Double p33; + + private Double p34; + + private Double p35; + + private Double p36; + + private Double p37; + + private Double p38; + + private Double p39; + + private Double p40; + + private Double p41; + + private Double p42; + + private Double p43; + + private Double p44; + + private Double p45; + + private Double p46; + + private Double p47; + + private Double p48; + + private Double p49; + + @ApiModelProperty("50次谐波有功功率") + private Double p50; +} diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataHarmPowerQDto.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataHarmPowerQDto.java new file mode 100644 index 0000000..a117fcb --- /dev/null +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataHarmPowerQDto.java @@ -0,0 +1,147 @@ +package com.njcn.dataProcess.pojo.dto; + +import com.fasterxml.jackson.annotation.JsonFormat; +import io.swagger.annotations.ApiModelProperty; +import lombok.Data; + +import java.io.Serializable; + +/** + * @author xy + */ +@Data +public class DataHarmPowerQDto implements Serializable { + + @JsonFormat(pattern = "yyyy-MM-dd") + private String time; + + @JsonFormat(pattern = "yyyy-MM-dd HH:mm:ss") + private String minTime; + + @ApiModelProperty("监测点Id") + private String lineId; + + @ApiModelProperty("相别,'A'表示A相，'B'表示B相,'C'表示C相,'T'表示总, 'M'表示无相别") + private String phasicType; + + @ApiModelProperty("数据类型 最大值：max、最小值：min、平均值：avg、95值：cp95") + private String valueType; + + @ApiModelProperty("数据质量标志（0-表示是正常数据、1-表示是错误数据、2-表示是有事件的数据）数据库默认是0，污染数据不参与报表统计") + private String qualityFlag; + + @ApiModelProperty("数据清洗标识 0:正常 1:异常") + private Integer abnormalFlag; + + @ApiModelProperty("总无功功率") + private Double q; + + @ApiModelProperty("基波无功功率") + private Double q1; + + @ApiModelProperty("2次谐波无功功率") + private Double q2; + + @ApiModelProperty("3次谐波无功功率") + private Double q3; + + @ApiModelProperty("4次谐波无功功率") + private Double q4; + + @ApiModelProperty("5次谐波无功功率") + private Double q5; + + @ApiModelProperty("6次谐波无功功率") + private Double q6; + + @ApiModelProperty("7次谐波无功功率") + private Double q7; + + @ApiModelProperty("8次谐波无功功率") + private Double q8; + + private Double q9; + + private Double q10; + + private Double q11; + + private Double q12; + + private Double q13; + + private Double q14; + + private Double q15; + + private Double q16; + + private Double q17; + + private Double q18; + + private Double q19; + + private Double q20; + + private Double q21; + + private Double q22; + + private Double q23; + + private Double q24; + + private Double q25; + + private Double q26; + + private Double q27; + + private Double q28; + + private Double q29; + + private Double q30; + + private Double q31; + + private Double q32; + + private Double q33; + + private Double q34; + + private Double q35; + + private Double q36; + + private Double q37; + + private Double q38; + + private Double q39; + + private Double q40; + + private Double q41; + + private Double q42; + + private Double q43; + + private Double q44; + + private Double q45; + + private Double q46; + + private Double q47; + + private Double q48; + + private Double q49; + + @ApiModelProperty("50次谐波无功功率") + private Double q50; +} diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataHarmPowerSDto.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataHarmPowerSDto.java new file mode 100644 index 0000000..3d85ad0 --- /dev/null +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataHarmPowerSDto.java @@ -0,0 +1,147 @@ +package com.njcn.dataProcess.pojo.dto; + +import com.fasterxml.jackson.annotation.JsonFormat; +import io.swagger.annotations.ApiModelProperty; +import lombok.Data; + +import java.io.Serializable; + +/** + * @author xy + */ +@Data +public class DataHarmPowerSDto implements Serializable { + + @JsonFormat(pattern = "yyyy-MM-dd") + private String time; + + @JsonFormat(pattern = "yyyy-MM-dd HH:mm:ss") + private String minTime; + + @ApiModelProperty("监测点Id") + private String lineId; + + @ApiModelProperty("相别,'A'表示A相，'B'表示B相,'C'表示C相,'T'表示总, 'M'表示无相别") + private String phasicType; + + @ApiModelProperty("数据类型 最大值：max、最小值：min、平均值：avg、95值：cp95") + private String valueType; + + @ApiModelProperty("数据质量标志（0-表示是正常数据、1-表示是错误数据、2-表示是有事件的数据）数据库默认是0，污染数据不参与报表统计") + private String qualityFlag; + + @ApiModelProperty("数据清洗标识 0:正常 1:异常") + private Integer abnormalFlag; + + @ApiModelProperty("总视在功率") + private Double s; + + @ApiModelProperty("基波视在功率") + private Double s1; + + @ApiModelProperty("2次谐波视在功率") + private Double s2; + + @ApiModelProperty("3次谐波视在功率") + private Double s3; + + @ApiModelProperty("4次谐波视在功率") + private Double s4; + + @ApiModelProperty("5次谐波视在功率") + private Double s5; + + @ApiModelProperty("6次谐波视在功率") + private Double s6; + + @ApiModelProperty("7次谐波视在功率") + private Double s7; + + @ApiModelProperty("8次谐波视在功率") + private Double s8; + + private Double s9; + + private Double s10; + + private Double s11; + + private Double s12; + + private Double s13; + + private Double s14; + + private Double s15; + + private Double s16; + + private Double s17; + + private Double s18; + + private Double s19; + + private Double s20; + + private Double s21; + + private Double s22; + + private Double s23; + + private Double s24; + + private Double s25; + + private Double s26; + + private Double s27; + + private Double s28; + + private Double s29; + + private Double s30; + + private Double s31; + + private Double s32; + + private Double s33; + + private Double s34; + + private Double s35; + + private Double s36; + + private Double s37; + + private Double s38; + + private Double s39; + + private Double s40; + + private Double s41; + + private Double s42; + + private Double s43; + + private Double s44; + + private Double s45; + + private Double s46; + + private Double s47; + + private Double s48; + + private Double s49; + + @ApiModelProperty("50次谐波视在功率") + private Double s50; +} diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataHarmRateIDto.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataHarmRateIDto.java new file mode 100644 index 0000000..edc5edb --- /dev/null +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataHarmRateIDto.java @@ -0,0 +1,145 @@ +package com.njcn.dataProcess.pojo.dto; + +import com.fasterxml.jackson.annotation.JsonFormat; +import io.swagger.annotations.ApiModelProperty; +import lombok.Data; + +import java.io.Serializable; + +/** + * @author xy + */ +@Data +public class DataHarmRateIDto implements Serializable { + + @JsonFormat(pattern = "yyyy-MM-dd") + private String time; + + @JsonFormat(pattern = "yyyy-MM-dd HH:mm:ss") + private String minTime; + + @ApiModelProperty("监测点Id") + private String lineId; + + @ApiModelProperty("相别,'A'表示A相，'B'表示B相,'C'表示C相,'T'表示总, 'M'表示无相别") + private String phasicType; + + @ApiModelProperty("数据类型 最大值：max、最小值：min、平均值：avg、95值：cp95") + private String valueType; + + @ApiModelProperty("数据质量标志（0-表示是正常数据、1-表示是错误数据、2-表示是有事件的数据）数据库默认是0，污染数据不参与报表统计") + private String qualityFlag; + + @ApiModelProperty("数据清洗标识 0:正常 1:异常") + private Integer abnormalFlag; + + @ApiModelProperty("基波电流含有率") + private Double i1; + + @ApiModelProperty("2次谐波电流含有率") + private Double i2; + + @ApiModelProperty("3次谐波电流含有率") + private Double i3; + + @ApiModelProperty("4次谐波电流含有率") + private Double i4; + + @ApiModelProperty("5次谐波电流含有率") + private Double i5; + + @ApiModelProperty("6次谐波电流含有率") + private Double i6; + + @ApiModelProperty("7次谐波电流含有率") + private Double i7; + + @ApiModelProperty("8次谐波电流含有率") + private Double i8; + + private Double i9; + + private Double i10; + + private Double i11; + + private Double i12; + + private Double i13; + + private Double i14; + + private Double i15; + + private Double i16; + + private Double i17; + + private Double i18; + + private Double i19; + + private Double i20; + + private Double i21; + + private Double i22; + + private Double i23; + + private Double i24; + + private Double i25; + + private Double i26; + + private Double i27; + + private Double i28; + + private Double i29; + + private Double i30; + + private Double i31; + + private Double i32; + + private Double i33; + + private Double i34; + + private Double i35; + + private Double i36; + + private Double i37; + + private Double i38; + + private Double i39; + + private Double i40; + + private Double i41; + + private Double i42; + + private Double i43; + + private Double i44; + + private Double i45; + + private Double i46; + + private Double i47; + + private Double i48; + + private Double i49; + + @ApiModelProperty("50次谐波电流含有率") + private Double i50; + +} diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataHarmRateVDto.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataHarmRateVDto.java new file mode 100644 index 0000000..53dfe97 --- /dev/null +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataHarmRateVDto.java @@ -0,0 +1,145 @@ +package com.njcn.dataProcess.pojo.dto; + +import com.fasterxml.jackson.annotation.JsonFormat; +import io.swagger.annotations.ApiModelProperty; +import lombok.Data; + +import java.io.Serializable; + +/** + * @author xy + */ +@Data +public class DataHarmRateVDto implements Serializable { + + @JsonFormat(pattern = "yyyy-MM-dd") + private String time; + + @JsonFormat(pattern = "yyyy-MM-dd HH:mm:ss") + private String minTime; + + @ApiModelProperty("监测点Id") + private String lineId; + + @ApiModelProperty("相别,'A'表示A相，'B'表示B相,'C'表示C相,'T'表示总, 'M'表示无相别") + private String phasicType; + + @ApiModelProperty("数据类型 最大值：max、最小值：min、平均值：avg、95值：cp95") + private String valueType; + + @ApiModelProperty("数据质量标志（0-表示是正常数据、1-表示是错误数据、2-表示是有事件的数据）数据库默认是0，污染数据不参与报表统计") + private String qualityFlag; + + @ApiModelProperty("数据清洗标识 0:正常 1:异常") + private Integer abnormalFlag; + + @ApiModelProperty("基波电压含有率") + private Double v1; + + @ApiModelProperty("2次谐波电压含有率") + private Double v2; + + @ApiModelProperty("3次谐波电压含有率") + private Double v3; + + @ApiModelProperty("4次谐波电压含有率") + private Double v4; + + @ApiModelProperty("5次谐波电压含有率") + private Double v5; + + @ApiModelProperty("6次谐波电压含有率") + private Double v6; + + @ApiModelProperty("7次谐波电压含有率") + private Double v7; + + @ApiModelProperty("8次谐波电压含有率") + private Double v8; + + private Double v9; + + private Double v10; + + private Double v11; + + private Double v12; + + private Double v13; + + private Double v14; + + private Double v15; + + private Double v16; + + private Double v17; + + private Double v18; + + private Double v19; + + private Double v20; + + private Double v21; + + private Double v22; + + private Double v23; + + private Double v24; + + private Double v25; + + private Double v26; + + private Double v27; + + private Double v28; + + private Double v29; + + private Double v30; + + private Double v31; + + private Double v32; + + private Double v33; + + private Double v34; + + private Double v35; + + private Double v36; + + private Double v37; + + private Double v38; + + private Double v39; + + private Double v40; + + private Double v41; + + private Double v42; + + private Double v43; + + private Double v44; + + private Double v45; + + private Double v46; + + private Double v47; + + private Double v48; + + private Double v49; + + @ApiModelProperty("50次谐波电压含有率") + private Double v50; + +} diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataIDto.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataIDto.java new file mode 100644 index 0000000..af9f29a --- /dev/null +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataIDto.java @@ -0,0 +1,163 @@ +package com.njcn.dataProcess.pojo.dto; + +import com.fasterxml.jackson.annotation.JsonFormat; +import io.swagger.annotations.ApiModelProperty; +import lombok.Data; + +import java.io.Serializable; + +/** + * @author xy + */ +@Data +public class DataIDto implements Serializable { + + @JsonFormat(pattern = "yyyy-MM-dd") + private String time; + + @JsonFormat(pattern = "yyyy-MM-dd HH:mm:ss") + private String minTime; + + @ApiModelProperty("监测点Id") + private String lineId; + + @ApiModelProperty("相别,'A'表示A相，'B'表示B相,'C'表示C相,'T'表示总, 'M'表示无相别") + private String phasicType; + + @ApiModelProperty("数据类型 最大值：max、最小值：min、平均值：avg、95值：cp95") + private String valueType; + + @ApiModelProperty("数据质量标志（0-表示是正常数据、1-表示是错误数据、2-表示是有事件的数据）数据库默认是0，污染数据不参与报表统计") + private String qualityFlag; + + @ApiModelProperty("数据清洗标识 0:正常 1:异常") + private Integer abnormalFlag; + + @ApiModelProperty("负序电流") + private Double iNeg; + + @ApiModelProperty("正序电流") + private Double iPos; + + @ApiModelProperty("电流总谐波畸变率") + private Double iThd; + + @ApiModelProperty("三相电流不平衡度") + private Double iUnbalance; + + @ApiModelProperty("零序电流") + private Double iZero; + + @ApiModelProperty("电流有效值") + private Double rms; + + @ApiModelProperty("基波电流幅值") + private Double i1; + + @ApiModelProperty("2次谐波电流幅值") + private Double i2; + + @ApiModelProperty("3次谐波电流幅值") + private Double i3; + + @ApiModelProperty("4次谐波电流幅值") + private Double i4; + + @ApiModelProperty("5次谐波电流幅值") + private Double i5; + + @ApiModelProperty("6次谐波电流幅值") + private Double i6; + + @ApiModelProperty("7次谐波电流幅值") + private Double i7; + + @ApiModelProperty("8次谐波电流幅值") + private Double i8; + + private Double i9; + + private Double i10; + + private Double i11; + + private Double i12; + + private Double i13; + + private Double i14; + + private Double i15; + + private Double i16; + + private Double i17; + + private Double i18; + + private Double i19; + + private Double i20; + + private Double i21; + + private Double i22; + + private Double i23; + + private Double i24; + + private Double i25; + + private Double i26; + + private Double i27; + + private Double i28; + + private Double i29; + + private Double i30; + + private Double i31; + + private Double i32; + + private Double i33; + + private Double i34; + + private Double i35; + + private Double i36; + + private Double i37; + + private Double i38; + + private Double i39; + + private Double i40; + + private Double i41; + + private Double i42; + + private Double i43; + + private Double i44; + + private Double i45; + + private Double i46; + + private Double i47; + + private Double i48; + + private Double i49; + + @ApiModelProperty("50次谐波电流幅值") + private Double i50; + +} diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataInHarmIDto.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataInHarmIDto.java new file mode 100644 index 0000000..0ebb88f --- /dev/null +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataInHarmIDto.java @@ -0,0 +1,145 @@ +package com.njcn.dataProcess.pojo.dto; + +import com.fasterxml.jackson.annotation.JsonFormat; +import io.swagger.annotations.ApiModelProperty; +import lombok.Data; + +import java.io.Serializable; + +/** + * @author xy + */ +@Data +public class DataInHarmIDto implements Serializable { + + @JsonFormat(pattern = "yyyy-MM-dd") + private String time; + + @JsonFormat(pattern = "yyyy-MM-dd HH:mm:ss") + private String minTime; + + @ApiModelProperty("监测点Id") + private String lineId; + + @ApiModelProperty("相别,'A'表示A相，'B'表示B相,'C'表示C相,'T'表示总, 'M'表示无相别") + private String phasicType; + + @ApiModelProperty("数据类型 最大值：max、最小值：min、平均值：avg、95值：cp95") + private String valueType; + + @ApiModelProperty("数据质量标志（0-表示是正常数据、1-表示是错误数据、2-表示是有事件的数据）数据库默认是0，污染数据不参与报表统计") + private String qualityFlag; + + @ApiModelProperty("数据清洗标识 0:正常 1:异常") + private Integer abnormalFlag; + + @ApiModelProperty("0.5次间谐波电流幅值") + private Double i1; + + @ApiModelProperty("1.5次间谐波电流幅值") + private Double i2; + + @ApiModelProperty("2.5次间谐波电流幅值") + private Double i3; + + @ApiModelProperty("3.5次间谐波电流幅值") + private Double i4; + + @ApiModelProperty("4.5次间谐波电流幅值") + private Double i5; + + @ApiModelProperty("5.5次间谐波电流幅值") + private Double i6; + + @ApiModelProperty("6.5次间谐波电流幅值") + private Double i7; + + @ApiModelProperty("7.5次间谐波电流幅值") + private Double i8; + + private Double i9; + + private Double i10; + + private Double i11; + + private Double i12; + + private Double i13; + + private Double i14; + + private Double i15; + + private Double i16; + + private Double i17; + + private Double i18; + + private Double i19; + + private Double i20; + + private Double i21; + + private Double i22; + + private Double i23; + + private Double i24; + + private Double i25; + + private Double i26; + + private Double i27; + + private Double i28; + + private Double i29; + + private Double i30; + + private Double i31; + + private Double i32; + + private Double i33; + + private Double i34; + + private Double i35; + + private Double i36; + + private Double i37; + + private Double i38; + + private Double i39; + + private Double i40; + + private Double i41; + + private Double i42; + + private Double i43; + + private Double i44; + + private Double i45; + + private Double i46; + + private Double i47; + + private Double i48; + + private Double i49; + + @ApiModelProperty("49.5次间谐波电流幅值") + private Double i50; + +} diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataInHarmVDto.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataInHarmVDto.java new file mode 100644 index 0000000..00ccf19 --- /dev/null +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataInHarmVDto.java @@ -0,0 +1,145 @@ +package com.njcn.dataProcess.pojo.dto; + +import com.fasterxml.jackson.annotation.JsonFormat; +import io.swagger.annotations.ApiModelProperty; +import lombok.Data; + +import java.io.Serializable; + +/** + * @author xy + */ +@Data +public class DataInHarmVDto implements Serializable { + + @JsonFormat(pattern = "yyyy-MM-dd") + private String time; + + @JsonFormat(pattern = "yyyy-MM-dd HH:mm:ss") + private String minTime; + + @ApiModelProperty("监测点Id") + private String lineId; + + @ApiModelProperty("相别,'A'表示A相，'B'表示B相,'C'表示C相,'T'表示总, 'M'表示无相别") + private String phasicType; + + @ApiModelProperty("数据类型 最大值：max、最小值：min、平均值：avg、95值：cp95") + private String valueType; + + @ApiModelProperty("数据质量标志（0-表示是正常数据、1-表示是错误数据、2-表示是有事件的数据）数据库默认是0，污染数据不参与报表统计") + private String qualityFlag; + + @ApiModelProperty("数据清洗标识 0:正常 1:异常") + private Integer abnormalFlag; + + @ApiModelProperty("0.5次间谐波电压幅值") + private Double v1; + + @ApiModelProperty("1.5次间谐波电压幅值") + private Double v2; + + @ApiModelProperty("2.5次间谐波电压幅值") + private Double v3; + + @ApiModelProperty("3.5次间谐波电压幅值") + private Double v4; + + @ApiModelProperty("4.5次间谐波电压幅值") + private Double v5; + + @ApiModelProperty("5.5次间谐波电压幅值") + private Double v6; + + @ApiModelProperty("6.5次间谐波电压幅值") + private Double v7; + + @ApiModelProperty("7.5次间谐波电压幅值") + private Double v8; + + private Double v9; + + private Double v10; + + private Double v11; + + private Double v12; + + private Double v13; + + private Double v14; + + private Double v15; + + private Double v16; + + private Double v17; + + private Double v18; + + private Double v19; + + private Double v20; + + private Double v21; + + private Double v22; + + private Double v23; + + private Double v24; + + private Double v25; + + private Double v26; + + private Double v27; + + private Double v28; + + private Double v29; + + private Double v30; + + private Double v31; + + private Double v32; + + private Double v33; + + private Double v34; + + private Double v35; + + private Double v36; + + private Double v37; + + private Double v38; + + private Double v39; + + private Double v40; + + private Double v41; + + private Double v42; + + private Double v43; + + private Double v44; + + private Double v45; + + private Double v46; + + private Double v47; + + private Double v48; + + private Double v49; + + @ApiModelProperty("49.5次间谐波电压幅值") + private Double v50; + +} diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataPltDto.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataPltDto.java new file mode 100644 index 0000000..283c951 --- /dev/null +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataPltDto.java @@ -0,0 +1,39 @@ +package com.njcn.dataProcess.pojo.dto; + +import com.fasterxml.jackson.annotation.JsonFormat; +import io.swagger.annotations.ApiModelProperty; +import lombok.Data; + +import java.io.Serializable; + +/** + * @author xy + */ +@Data +public class DataPltDto implements Serializable { + + @JsonFormat(pattern = "yyyy-MM-dd") + private String time; + + @JsonFormat(pattern = "yyyy-MM-dd HH:mm:ss") + private String minTime; + + @ApiModelProperty("监测点Id") + private String lineId; + + @ApiModelProperty("相别,'A'表示A相，'B'表示B相,'C'表示C相,'T'表示总, 'M'表示无相别") + private String phasicType; + + @ApiModelProperty("数据类型 最大值：max、最小值：min、平均值：avg、95值：cp95") + private String valueType; + + @ApiModelProperty("数据质量标志（0-表示是正常数据、1-表示是错误数据、2-表示是有事件的数据）数据库默认是0，污染数据不参与报表统计") + private String qualityFlag; + + @ApiModelProperty("数据清洗标识 0:正常 1:异常") + private Integer abnormalFlag; + + @ApiModelProperty("长时闪变值") + private Double plt; + +} diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataPowerPDto.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataPowerPDto.java new file mode 100644 index 0000000..2009519 --- /dev/null +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataPowerPDto.java @@ -0,0 +1,154 @@ +package com.njcn.dataProcess.pojo.dto; + +import com.fasterxml.jackson.annotation.JsonFormat; +import io.swagger.annotations.ApiModelProperty; +import lombok.Data; + +import java.io.Serializable; + +/** + * @author xy + */ +@Data +public class DataPowerPDto implements Serializable { + + @JsonFormat(pattern = "yyyy-MM-dd") + private String time; + + @JsonFormat(pattern = "yyyy-MM-dd HH:mm:ss") + private String minTime; + + @ApiModelProperty("监测点Id") + private String lineId; + + @ApiModelProperty("相别,'A'表示A相，'B'表示B相,'C'表示C相,'T'表示总, 'M'表示无相别") + private String phasicType; + + @ApiModelProperty("数据类型 最大值：max、最小值：min、平均值：avg、95值：cp95") + private String valueType; + + @ApiModelProperty("数据质量标志（0-表示是正常数据、1-表示是错误数据、2-表示是有事件的数据）数据库默认是0，污染数据不参与报表统计") + private String qualityFlag; + + @ApiModelProperty("数据清洗标识 0:正常 1:异常") + private Integer abnormalFlag; + + @ApiModelProperty("位移功率因数") + private Double df; + + @ApiModelProperty("视在功率因素") + private Double pf; + + @ApiModelProperty("总功功率") + private Double p; + + @ApiModelProperty("基波有功功率") + private Double p1; + + @ApiModelProperty("2次谐波有功功率") + private Double p2; + + @ApiModelProperty("3次谐波有功功率") + private Double p3; + + @ApiModelProperty("4次谐波有功功率") + private Double p4; + + @ApiModelProperty("5次谐波有功功率") + private Double p5; + + @ApiModelProperty("6次谐波有功功率") + private Double p6; + + @ApiModelProperty("7次谐波有功功率") + private Double p7; + + @ApiModelProperty("8次谐波有功功率") + private Double p8; + + private Double p9; + + private Double p10; + + private Double p11; + + private Double p12; + + private Double p13; + + private Double p14; + + private Double p15; + + private Double p16; + + private Double p17; + + private Double p18; + + private Double p19; + + private Double p20; + + private Double p21; + + private Double p22; + + private Double p23; + + private Double p24; + + private Double p25; + + private Double p26; + + private Double p27; + + private Double p28; + + private Double p29; + + private Double p30; + + private Double p31; + + private Double p32; + + private Double p33; + + private Double p34; + + private Double p35; + + private Double p36; + + private Double p37; + + private Double p38; + + private Double p39; + + private Double p40; + + private Double p41; + + private Double p42; + + private Double p43; + + private Double p44; + + private Double p45; + + private Double p46; + + private Double p47; + + private Double p48; + + private Double p49; + + @ApiModelProperty("50次谐波有功功率") + private Double p50; + +} diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/PqReasonableRangeDto.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/PqReasonableRangeDto.java new file mode 100644 index 0000000..edc5b7d --- /dev/null +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/PqReasonableRangeDto.java @@ -0,0 +1,100 @@ +package com.njcn.dataProcess.pojo.dto; + +import lombok.Data; + +import java.io.Serializable; + +/** + * @author xy + */ +@Data +public class PqReasonableRangeDto implements Serializable { + + private static final long serialVersionUID = 1L; + + /** + * 主键ID + */ + private String id; + + /** + * 指标code + */ + private String indexCode; + + /** + * 指标名称 + */ + private String indexName; + + /** + * 指标开始 + */ + private Integer harmStart; + + /** + * 指标结束 + */ + private Integer harmEnd; + + /** + * 指标所属项别 + */ + private String phaseType; + + /** + * 指标所属influxdb表的实体类 + */ + private String influxdbTableName; + + /** + * 指标所属类的属性 + */ + private String influxdbColumnName; + + /** + * 指标下限 + */ + private Double minValue; + + /** + * 指标上限 + */ + private Double maxValue; + + /** + * 电压等级是否参与计算(0:不参与1:参与) + */ + private Integer isVoltage; + + /** + * Ct变比是否参与计算 + */ + private Integer ctAttendFlag; + + /** + * 指标数据源（influxdb，oralce，mysql） + */ + private String dataSource; + + /** + * 无具体范围，判断的条件描述 + */ + private String otherAlgorithm; + + /** + * 备注 + */ + private String remark; + + /** + * 所属系统（pqs，govern）目前就这个两个系统 + */ + private String belongingSystem; + + /** + * 状态(0:删除 1:正常) + */ + private Integer state; + +} diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/PqDataVerify.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/PqDataVerify.java new file mode 100644 index 0000000..62b171a --- /dev/null +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/PqDataVerify.java @@ -0,0 +1,96 @@ +package com.njcn.dataProcess.pojo.po; + +import com.baomidou.mybatisplus.annotation.TableField; +import com.baomidou.mybatisplus.annotation.TableName; +import com.github.jeffreyning.mybatisplus.anno.MppMultiId; +import lombok.Getter; +import lombok.Setter; + +import java.io.Serializable; +import java.math.BigDecimal; +import java.time.LocalDateTime; + +/** + *

+ * + *

+ * + * @author xy + * @since 2025-02-17 + */ +@Getter +@Setter +@TableName("pq_data_verify") +public class PqDataVerify implements Serializable { + + private static final long serialVersionUID = 1L; + + /** + * 监测点id + */ + @MppMultiId + @TableField(value = "line_id") + private String lineId; + + /** + * 异常数据时间 + */ + @MppMultiId + @TableField(value = "time") + private LocalDateTime time; + + /** + * 数据类型(最大值：max、最小值：min、平均值：avg、95值：cp95) + */ + @MppMultiId + @TableField(value = "value_type") + private String valueType; + + /** + * 相别："A" "B" "C" "ABC" "T" + */ + @MppMultiId + @TableField(value = "phasic_type") + private String phasicType; + + /** + * 指标code + */ + @MppMultiId + @TableField(value = "index_code") + private String indexCode; + + /** + * 指标名称 + */ + @MppMultiId + @TableField(value = "index_name") + private String indexName; + + /** + * 指标表名 + */ + @MppMultiId + @TableField(value = "index_table") + private String indexTable; + + /** + * 异常值 + */ + @TableField(value = "abnormal_value") + private Double abnormalValue; + + /** + * 指标上限 + */ + @TableField(value = "min_value") + private Double minValue; + + /** + * 指标下限 + */ + @TableField(value = "max_value") + private Double maxValue; + + +} diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/PqReasonableRange.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/PqReasonableRange.java new file mode 100644 index 0000000..d4d34ef --- /dev/null +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/PqReasonableRange.java @@ -0,0 +1,110 @@ +package com.njcn.dataProcess.pojo.po; + +import com.baomidou.mybatisplus.annotation.TableName; +import com.njcn.db.bo.BaseEntity; +import lombok.Data; +import lombok.EqualsAndHashCode; + +import java.io.Serializable; + +/** + *

+ * + *

+ * + * @author xy + * @since 2025-02-13 + */ +@Data +@EqualsAndHashCode(callSuper = true) +@TableName("pq_reasonable_range") +public class PqReasonableRange extends BaseEntity implements Serializable { + + private static final long serialVersionUID = 1L; + + /** + * 主键ID + */ + private String id; + + /** + * 指标code + */ + private String indexCode; + + /** + * 指标名称 + */ + private String indexName; + + /** + * 指标开始 + */ + private Integer harmStart; + + /** + * 指标结束 + */ + private Integer harmEnd; + + /** + * 指标所属项别 + */ + private String phaseType; + + /** + * 指标所属influxdb表的实体类 + */ + private String influxdbTableName; + + /** + * 指标所属类的属性 + */ + private String influxdbColumnName; + + /** + * 指标下限 + */ + private Double minValue; + + /** + * 指标上限 + */ + private Double maxValue; + + /** + * 电压等级是否参与计算(0:不参与1:参与) + */ + private Integer isVoltage; + + /** + * Ct变比是否参与计算 + */ + private Integer ctAttendFlag; + + /** + * 指标数据源（influxdb，oralce，mysql） + */ + private String dataSource; + + /** + * 无具体范围，判断的条件描述 + */ + private String otherAlgorithm; + + /** + * 备注 + */ + private String remark; + + /** + * 所属系统（pqs，govern）目前就这个两个系统 + */ + private String belongingSystem; + + /** + * 状态(0:删除 1:正常) + */ + private Integer state; + +} diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataFlickerD.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataFlickerD.java new file mode 100644 index 0000000..415ff5a --- /dev/null +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataFlickerD.java @@ -0,0 +1,50 @@ +package com.njcn.dataProcess.pojo.po; + +import com.baomidou.mybatisplus.annotation.FieldStrategy; +import com.baomidou.mybatisplus.annotation.TableField; +import com.baomidou.mybatisplus.annotation.TableName; +import com.github.jeffreyning.mybatisplus.anno.MppMultiId; +import lombok.Data; + +import java.io.Serializable; +import java.time.LocalDate; + +/** + * 类的介绍： + * + * @author xy + * @version 1.0.0 + */ +@Data +@TableName(value = "r_stat_data_flicker_d") +public class RStatDataFlickerD implements Serializable { + + @MppMultiId + @TableField(value = "time") + private LocalDate time; + + @MppMultiId + @TableField(value = "line_id") + private String lineId; + + @MppMultiId + @TableField(value = "phasic_type") + private String phasicType; + + @MppMultiId + @TableField(value = "value_type") + private String valueType; + + @TableField(value = "quality_flag") + private Integer qualityFlag; + + @TableField(value = "fluc",updateStrategy = FieldStrategy.IGNORED) + private Double fluc; + + @TableField(value = "plt",updateStrategy = FieldStrategy.IGNORED) + private Double plt; + + @TableField(value = "pst",updateStrategy = FieldStrategy.IGNORED) + private Double pst; + +} diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataFlucD.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataFlucD.java new file mode 100644 index 0000000..80fcad1 --- /dev/null +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataFlucD.java @@ -0,0 +1,47 @@ +package com.njcn.dataProcess.pojo.po; + +import com.baomidou.mybatisplus.annotation.FieldStrategy; +import com.baomidou.mybatisplus.annotation.TableField; +import com.baomidou.mybatisplus.annotation.TableName; +import com.github.jeffreyning.mybatisplus.anno.MppMultiId; +import lombok.Data; + +import java.io.Serializable; +import java.time.LocalDate; + +/** + * 类的介绍： + * + * @author xy + * @version 1.0.0 + */ +@Data +@TableName(value = "r_stat_data_fluc_d") +public class RStatDataFlucD implements Serializable { + + @MppMultiId + @TableField(value = "time") + private LocalDate time; + + @MppMultiId + @TableField(value = "line_id") + private String lineId; + + @MppMultiId + @TableField(value = "phasic_type") + private String phasicType; + + @MppMultiId + @TableField(value = "value_type") + private String valueType; + + @TableField(value = "quality_flag") + private Integer qualityFlag; + + @TableField(value = "fluc",updateStrategy = FieldStrategy.IGNORED) + private Double fluc; + + @TableField(value = "fluccf",updateStrategy = FieldStrategy.IGNORED) + private Double fluccf; + +} diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataHarmPhasicID.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataHarmPhasicID.java new file mode 100644 index 0000000..7790440 --- /dev/null +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataHarmPhasicID.java @@ -0,0 +1,191 @@ +package com.njcn.dataProcess.pojo.po; + +import com.baomidou.mybatisplus.annotation.FieldStrategy; +import com.baomidou.mybatisplus.annotation.TableField; +import com.baomidou.mybatisplus.annotation.TableName; +import com.github.jeffreyning.mybatisplus.anno.MppMultiId; +import lombok.Data; + +import java.io.Serializable; +import java.time.LocalDate; + +/** + * 类的介绍： + * + * @author xy + * @version 1.0.0 + */ +@Data +@TableName(value = "R_STAT_DATA_HARMPHASIC_I_D") +public class RStatDataHarmPhasicID implements Serializable { + + @MppMultiId + @TableField(value = "time") + private LocalDate time; + + @MppMultiId + @TableField(value = "line_id") + private String lineId; + + @MppMultiId + @TableField(value = "phasic_type") + private String phasicType; + + @MppMultiId + @TableField(value = "value_type") + private String valueType; + + @TableField(value = "quality_flag") + private Integer qualityFlag; + + @TableField(value = "i_1",updateStrategy = FieldStrategy.IGNORED) + private Double i1; + + @TableField(value = "i_2",updateStrategy = FieldStrategy.IGNORED) + private Double i2; + + @TableField(value = "i_3",updateStrategy = FieldStrategy.IGNORED) + private Double i3; + + @TableField(value = "i_4",updateStrategy = FieldStrategy.IGNORED) + private Double i4; + + @TableField(value = "i_5",updateStrategy = FieldStrategy.IGNORED) + private Double i5; + + @TableField(value = "i_6",updateStrategy = FieldStrategy.IGNORED) + private Double i6; + + @TableField(value = "i_7",updateStrategy = FieldStrategy.IGNORED) + private Double i7; + + @TableField(value = "i_8",updateStrategy = FieldStrategy.IGNORED) + private Double i8; + + @TableField(value = "i_9",updateStrategy = FieldStrategy.IGNORED) + private Double i9; + + @TableField(value = "i_10",updateStrategy = FieldStrategy.IGNORED) + private Double i10; + + @TableField(value = "i_11",updateStrategy = FieldStrategy.IGNORED) + private Double i11; + + @TableField(value = "i_12",updateStrategy = FieldStrategy.IGNORED) + private Double i12; + + @TableField(value = "i_13",updateStrategy = FieldStrategy.IGNORED) + private Double i13; + + @TableField(value = "i_14",updateStrategy = FieldStrategy.IGNORED) + private Double i14; + + @TableField(value = "i_15",updateStrategy = FieldStrategy.IGNORED) + private Double i15; + + @TableField(value = "i_16",updateStrategy = FieldStrategy.IGNORED) + private Double i16; + + @TableField(value = "i_17",updateStrategy = FieldStrategy.IGNORED) + private Double i17; + + @TableField(value = "i_18",updateStrategy = FieldStrategy.IGNORED) + private Double i18; + + @TableField(value = "i_19",updateStrategy = FieldStrategy.IGNORED) + private Double i19; + + @TableField(value = "i_20",updateStrategy = FieldStrategy.IGNORED) + private Double i20; + + @TableField(value = "i_21",updateStrategy = FieldStrategy.IGNORED) + private Double i21; + + @TableField(value = "i_22",updateStrategy = FieldStrategy.IGNORED) + private Double i22; + + @TableField(value = "i_23",updateStrategy = FieldStrategy.IGNORED) + private Double i23; + + @TableField(value = "i_24",updateStrategy = FieldStrategy.IGNORED) + private Double i24; + + @TableField(value = "i_25",updateStrategy = FieldStrategy.IGNORED) + private Double i25; + + @TableField(value = "i_26",updateStrategy = FieldStrategy.IGNORED) + private Double i26; + + @TableField(value = "i_27",updateStrategy = FieldStrategy.IGNORED) + private Double i27; + + @TableField(value = "i_28",updateStrategy = FieldStrategy.IGNORED) + private Double i28; + + @TableField(value = "i_29",updateStrategy = FieldStrategy.IGNORED) + private Double i29; + + @TableField(value = "i_30",updateStrategy = FieldStrategy.IGNORED) + private Double i30; + + @TableField(value = "i_31",updateStrategy = FieldStrategy.IGNORED) + private Double i31; + + @TableField(value = "i_32",updateStrategy = FieldStrategy.IGNORED) + private Double i32; + + @TableField(value = "i_33",updateStrategy = FieldStrategy.IGNORED) + private Double i33; + + @TableField(value = "i_34",updateStrategy = FieldStrategy.IGNORED) + private Double i34; + + @TableField(value = "i_35",updateStrategy = FieldStrategy.IGNORED) + private Double i35; + + @TableField(value = "i_36",updateStrategy = FieldStrategy.IGNORED) + private Double i36; + + @TableField(value = "i_37",updateStrategy = FieldStrategy.IGNORED) + private Double i37; + + @TableField(value = "i_38",updateStrategy = FieldStrategy.IGNORED) + private Double i38; + + @TableField(value = "i_39",updateStrategy = FieldStrategy.IGNORED) + private Double i39; + + @TableField(value = "i_40",updateStrategy = FieldStrategy.IGNORED) + private Double i40; + + @TableField(value = "i_41",updateStrategy = FieldStrategy.IGNORED) + private Double i41; + + @TableField(value = "i_42",updateStrategy = FieldStrategy.IGNORED) + private Double i42; + + @TableField(value = "i_43",updateStrategy = FieldStrategy.IGNORED) + private Double i43; + + @TableField(value = "i_44",updateStrategy = FieldStrategy.IGNORED) + private Double i44; + + @TableField(value = "i_45",updateStrategy = FieldStrategy.IGNORED) + private Double i45; + + @TableField(value = "i_46",updateStrategy = FieldStrategy.IGNORED) + private Double i46; + + @TableField(value = "i_47",updateStrategy = FieldStrategy.IGNORED) + private Double i47; + + @TableField(value = "i_48",updateStrategy = FieldStrategy.IGNORED) + private Double i48; + + @TableField(value = "i_49",updateStrategy = FieldStrategy.IGNORED) + private Double i49; + + @TableField(value = "i_50",updateStrategy = FieldStrategy.IGNORED) + private Double i50; + +} diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataHarmPhasicVD.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataHarmPhasicVD.java new file mode 100644 index 0000000..acbda03 --- /dev/null +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataHarmPhasicVD.java @@ -0,0 +1,191 @@ +package com.njcn.dataProcess.pojo.po; + +import com.baomidou.mybatisplus.annotation.FieldStrategy; +import com.baomidou.mybatisplus.annotation.TableField; +import com.baomidou.mybatisplus.annotation.TableName; +import com.github.jeffreyning.mybatisplus.anno.MppMultiId; +import lombok.Data; + +import java.io.Serializable; +import java.time.LocalDate; + +/** + * 类的介绍： + * + * @author xy + * @version 1.0.0 + */ +@Data +@TableName(value = "R_STAT_DATA_HARMPHASIC_V_D") +public class RStatDataHarmPhasicVD implements Serializable { + + @MppMultiId + @TableField(value = "time") + private LocalDate time; + + @MppMultiId + @TableField(value = "line_id") + private String lineId; + + @MppMultiId + @TableField(value = "phasic_type") + private String phasicType; + + @MppMultiId + @TableField(value = "value_type") + private String valueType; + + @TableField(value = "quality_flag") + private Integer qualityFlag; + + @TableField(value = "v_1",updateStrategy = FieldStrategy.IGNORED) + private Double v1; + + @TableField(value = "v_2",updateStrategy = FieldStrategy.IGNORED) + private Double v2; + + @TableField(value = "v_3",updateStrategy = FieldStrategy.IGNORED) + private Double v3; + + @TableField(value = "v_4",updateStrategy = FieldStrategy.IGNORED) + private Double v4; + + @TableField(value = "v_5",updateStrategy = FieldStrategy.IGNORED) + private Double v5; + + @TableField(value = "v_6",updateStrategy = FieldStrategy.IGNORED) + private Double v6; + + @TableField(value = "v_7",updateStrategy = FieldStrategy.IGNORED) + private Double v7; + + @TableField(value = "v_8",updateStrategy = FieldStrategy.IGNORED) + private Double v8; + + @TableField(value = "v_9",updateStrategy = FieldStrategy.IGNORED) + private Double v9; + + @TableField(value = "v_10",updateStrategy = FieldStrategy.IGNORED) + private Double v10; + + @TableField(value = "v_11",updateStrategy = FieldStrategy.IGNORED) + private Double v11; + + @TableField(value = "v_12",updateStrategy = FieldStrategy.IGNORED) + private Double v12; + + @TableField(value = "v_13",updateStrategy = FieldStrategy.IGNORED) + private Double v13; + + @TableField(value = "v_14",updateStrategy = FieldStrategy.IGNORED) + private Double v14; + + @TableField(value = "v_15",updateStrategy = FieldStrategy.IGNORED) + private Double v15; + + @TableField(value = "v_16",updateStrategy = FieldStrategy.IGNORED) + private Double v16; + + @TableField(value = "v_17",updateStrategy = FieldStrategy.IGNORED) + private Double v17; + + @TableField(value = "v_18",updateStrategy = FieldStrategy.IGNORED) + private Double v18; + + @TableField(value = "v_19",updateStrategy = FieldStrategy.IGNORED) + private Double v19; + + @TableField(value = "v_20",updateStrategy = FieldStrategy.IGNORED) + private Double v20; + + @TableField(value = "v_21",updateStrategy = FieldStrategy.IGNORED) + private Double v21; + + @TableField(value = "v_22",updateStrategy = FieldStrategy.IGNORED) + private Double v22; + + @TableField(value = "v_23",updateStrategy = FieldStrategy.IGNORED) + private Double v23; + + @TableField(value = "v_24",updateStrategy = FieldStrategy.IGNORED) + private Double v24; + + @TableField(value = "v_25",updateStrategy = FieldStrategy.IGNORED) + private Double v25; + + @TableField(value = "v_26",updateStrategy = FieldStrategy.IGNORED) + private Double v26; + + @TableField(value = "v_27",updateStrategy = FieldStrategy.IGNORED) + private Double v27; + + @TableField(value = "v_28",updateStrategy = FieldStrategy.IGNORED) + private Double v28; + + @TableField(value = "v_29",updateStrategy = FieldStrategy.IGNORED) + private Double v29; + + @TableField(value = "v_30",updateStrategy = FieldStrategy.IGNORED) + private Double v30; + + @TableField(value = "v_31",updateStrategy = FieldStrategy.IGNORED) + private Double v31; + + @TableField(value = "v_32",updateStrategy = FieldStrategy.IGNORED) + private Double v32; + + @TableField(value = "v_33",updateStrategy = FieldStrategy.IGNORED) + private Double v33; + + @TableField(value = "v_34",updateStrategy = FieldStrategy.IGNORED) + private Double v34; + + @TableField(value = "v_35",updateStrategy = FieldStrategy.IGNORED) + private Double v35; + + @TableField(value = "v_36",updateStrategy = FieldStrategy.IGNORED) + private Double v36; + + @TableField(value = "v_37",updateStrategy = FieldStrategy.IGNORED) + private Double v37; + + @TableField(value = "v_38",updateStrategy = FieldStrategy.IGNORED) + private Double v38; + + @TableField(value = "v_39",updateStrategy = FieldStrategy.IGNORED) + private Double v39; + + @TableField(value = "v_40",updateStrategy = FieldStrategy.IGNORED) + private Double v40; + + @TableField(value = "v_41",updateStrategy = FieldStrategy.IGNORED) + private Double v41; + + @TableField(value = "v_42",updateStrategy = FieldStrategy.IGNORED) + private Double v42; + + @TableField(value = "v_43",updateStrategy = FieldStrategy.IGNORED) + private Double v43; + + @TableField(value = "v_44",updateStrategy = FieldStrategy.IGNORED) + private Double v44; + + @TableField(value = "v_45",updateStrategy = FieldStrategy.IGNORED) + private Double v45; + + @TableField(value = "v_46",updateStrategy = FieldStrategy.IGNORED) + private Double v46; + + @TableField(value = "v_47",updateStrategy = FieldStrategy.IGNORED) + private Double v47; + + @TableField(value = "v_48",updateStrategy = FieldStrategy.IGNORED) + private Double v48; + + @TableField(value = "v_49",updateStrategy = FieldStrategy.IGNORED) + private Double v49; + + @TableField(value = "v_50",updateStrategy = FieldStrategy.IGNORED) + private Double v50; + +} diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataHarmPowerPD.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataHarmPowerPD.java new file mode 100644 index 0000000..f41260e --- /dev/null +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataHarmPowerPD.java @@ -0,0 +1,200 @@ +package com.njcn.dataProcess.pojo.po; + +import com.baomidou.mybatisplus.annotation.FieldStrategy; +import com.baomidou.mybatisplus.annotation.TableField; +import com.baomidou.mybatisplus.annotation.TableName; +import com.github.jeffreyning.mybatisplus.anno.MppMultiId; +import lombok.Data; + +import java.io.Serializable; +import java.time.LocalDate; + +/** + * 类的介绍： + * + * @author xy + * @version 1.0.0 + */ +@Data +@TableName(value = "R_STAT_DATA_HARMPOWER_P_D") +public class RStatDataHarmPowerPD implements Serializable { + + @MppMultiId + @TableField(value = "time") + private LocalDate time; + + @MppMultiId + @TableField(value = "line_id") + private String lineId; + + @MppMultiId + @TableField(value = "phasic_type") + private String phasicType; + + @MppMultiId + @TableField(value = "value_type") + private String valueType; + + @TableField(value = "quality_flag") + private Integer qualityFlag; + + @TableField(value = "p",updateStrategy = FieldStrategy.IGNORED) + private Double p; + + @TableField(value = "pf",updateStrategy = FieldStrategy.IGNORED) + private Double pf; + + @TableField(value = "df",updateStrategy = FieldStrategy.IGNORED) + private Double df; + + @TableField(value = "p_1",updateStrategy = FieldStrategy.IGNORED) + private Double p1; + + @TableField(value = "p_2",updateStrategy = FieldStrategy.IGNORED) + private Double p2; + + @TableField(value = "p_3",updateStrategy = FieldStrategy.IGNORED) + private Double p3; + + @TableField(value = "p_4",updateStrategy = FieldStrategy.IGNORED) + private Double p4; + + @TableField(value = "p_5",updateStrategy = FieldStrategy.IGNORED) + private Double p5; + + @TableField(value = "p_6",updateStrategy = FieldStrategy.IGNORED) + private Double p6; + + @TableField(value = "p_7",updateStrategy = FieldStrategy.IGNORED) + private Double p7; + + @TableField(value = "p_8",updateStrategy = FieldStrategy.IGNORED) + private Double p8; + + @TableField(value = "p_9",updateStrategy = FieldStrategy.IGNORED) + private Double p9; + + @TableField(value = "p_10",updateStrategy = FieldStrategy.IGNORED) + private Double p10; + + @TableField(value = "p_11",updateStrategy = FieldStrategy.IGNORED) + private Double p11; + + @TableField(value = "p_12",updateStrategy = FieldStrategy.IGNORED) + private Double p12; + + @TableField(value = "p_13",updateStrategy = FieldStrategy.IGNORED) + private Double p13; + + @TableField(value = "p_14",updateStrategy = FieldStrategy.IGNORED) + private Double p14; + + @TableField(value = "p_15",updateStrategy = FieldStrategy.IGNORED) + private Double p15; + + @TableField(value = "p_16",updateStrategy = FieldStrategy.IGNORED) + private Double p16; + + @TableField(value = "p_17",updateStrategy = FieldStrategy.IGNORED) + private Double p17; + + @TableField(value = "p_18",updateStrategy = FieldStrategy.IGNORED) + private Double p18; + + @TableField(value = "p_19",updateStrategy = FieldStrategy.IGNORED) + private Double p19; + + @TableField(value = "p_20",updateStrategy = FieldStrategy.IGNORED) + private Double p20; + + @TableField(value = "p_21",updateStrategy = FieldStrategy.IGNORED) + private Double p21; + + @TableField(value = "p_22",updateStrategy = FieldStrategy.IGNORED) + private Double p22; + + @TableField(value = "p_23",updateStrategy = FieldStrategy.IGNORED) + private Double p23; + + @TableField(value = "p_24",updateStrategy = FieldStrategy.IGNORED) + private Double p24; + + @TableField(value = "p_25",updateStrategy = FieldStrategy.IGNORED) + private Double p25; + + @TableField(value = "p_26",updateStrategy = FieldStrategy.IGNORED) + private Double p26; + + @TableField(value = "p_27",updateStrategy = FieldStrategy.IGNORED) + private Double p27; + + @TableField(value = "p_28",updateStrategy = FieldStrategy.IGNORED) + private Double p28; + + @TableField(value = "p_29",updateStrategy = FieldStrategy.IGNORED) + private Double p29; + + @TableField(value = "p_30",updateStrategy = FieldStrategy.IGNORED) + private Double p30; + + @TableField(value = "p_31",updateStrategy = FieldStrategy.IGNORED) + private Double p31; + + @TableField(value = "p_32",updateStrategy = FieldStrategy.IGNORED) + private Double p32; + + @TableField(value = "p_33",updateStrategy = FieldStrategy.IGNORED) + private Double p33; + + @TableField(value = "p_34",updateStrategy = FieldStrategy.IGNORED) + private Double p34; + + @TableField(value = "p_35",updateStrategy = FieldStrategy.IGNORED) + private Double p35; + + @TableField(value = "p_36",updateStrategy = FieldStrategy.IGNORED) + private Double p36; + + @TableField(value = "p_37",updateStrategy = FieldStrategy.IGNORED) + private Double p37; + + @TableField(value = "p_38",updateStrategy = FieldStrategy.IGNORED) + private Double p38; + + @TableField(value = "p_39",updateStrategy = FieldStrategy.IGNORED) + private Double p39; + + @TableField(value = "p_40",updateStrategy = FieldStrategy.IGNORED) + private Double p40; + + @TableField(value = "p_41",updateStrategy = FieldStrategy.IGNORED) + private Double p41; + + @TableField(value = "p_42",updateStrategy = FieldStrategy.IGNORED) + private Double p42; + + @TableField(value = "p_43",updateStrategy = FieldStrategy.IGNORED) + private Double p43; + + @TableField(value = "p_44",updateStrategy = FieldStrategy.IGNORED) + private Double p44; + + @TableField(value = "p_45",updateStrategy = FieldStrategy.IGNORED) + private Double p45; + + @TableField(value = "p_46",updateStrategy = FieldStrategy.IGNORED) + private Double p46; + + @TableField(value = "p_47",updateStrategy = FieldStrategy.IGNORED) + private Double p47; + + @TableField(value = "p_48",updateStrategy = FieldStrategy.IGNORED) + private Double p48; + + @TableField(value = "p_49",updateStrategy = FieldStrategy.IGNORED) + private Double p49; + + @TableField(value = "p_50",updateStrategy = FieldStrategy.IGNORED) + private Double p50; + +} diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataHarmPowerQD.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataHarmPowerQD.java new file mode 100644 index 0000000..aec6148 --- /dev/null +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataHarmPowerQD.java @@ -0,0 +1,194 @@ +package com.njcn.dataProcess.pojo.po; + +import com.baomidou.mybatisplus.annotation.FieldStrategy; +import com.baomidou.mybatisplus.annotation.TableField; +import com.baomidou.mybatisplus.annotation.TableName; +import com.github.jeffreyning.mybatisplus.anno.MppMultiId; +import lombok.Data; + +import java.io.Serializable; +import java.time.LocalDate; + +/** + * 类的介绍： + * + * @author xy + * @version 1.0.0 + */ +@Data +@TableName(value = "R_STAT_DATA_HARMPOWER_Q_D") +public class RStatDataHarmPowerQD implements Serializable { + + @MppMultiId + @TableField(value = "time") + private LocalDate time; + + @MppMultiId + @TableField(value = "line_id") + private String lineId; + + @MppMultiId + @TableField(value = "phasic_type") + private String phasicType; + + @MppMultiId + @TableField(value = "value_type") + private String valueType; + + @TableField(value = "quality_flag") + private Integer qualityFlag; + + @TableField(value = "q",updateStrategy = FieldStrategy.IGNORED) + private Double q; + + @TableField(value = "q_1",updateStrategy = FieldStrategy.IGNORED) + private Double q1; + + @TableField(value = "q_2",updateStrategy = FieldStrategy.IGNORED) + private Double q2; + + @TableField(value = "q_3",updateStrategy = FieldStrategy.IGNORED) + private Double q3; + + @TableField(value = "q_4",updateStrategy = FieldStrategy.IGNORED) + private Double q4; + + @TableField(value = "q_5",updateStrategy = FieldStrategy.IGNORED) + private Double q5; + + @TableField(value = "q_6",updateStrategy = FieldStrategy.IGNORED) + private Double q6; + + @TableField(value = "q_7",updateStrategy = FieldStrategy.IGNORED) + private Double q7; + + @TableField(value = "q_8",updateStrategy = FieldStrategy.IGNORED) + private Double q8; + + @TableField(value = "q_9",updateStrategy = FieldStrategy.IGNORED) + private Double q9; + + @TableField(value = "q_10",updateStrategy = FieldStrategy.IGNORED) + private Double q10; + + @TableField(value = "q_11",updateStrategy = FieldStrategy.IGNORED) + private Double q11; + + @TableField(value = "q_12",updateStrategy = FieldStrategy.IGNORED) + private Double q12; + + @TableField(value = "q_13",updateStrategy = FieldStrategy.IGNORED) + private Double q13; + + @TableField(value = "q_14",updateStrategy = FieldStrategy.IGNORED) + private Double q14; + + @TableField(value = "q_15",updateStrategy = FieldStrategy.IGNORED) + private Double q15; + + @TableField(value = "q_16",updateStrategy = FieldStrategy.IGNORED) + private Double q16; + + @TableField(value = "q_17",updateStrategy = FieldStrategy.IGNORED) + private Double q17; + + @TableField(value = "q_18",updateStrategy = FieldStrategy.IGNORED) + private Double q18; + + @TableField(value = "q_19",updateStrategy = FieldStrategy.IGNORED) + private Double q19; + + @TableField(value = "q_20",updateStrategy = FieldStrategy.IGNORED) + private Double q20; + + @TableField(value = "q_21",updateStrategy = FieldStrategy.IGNORED) + private Double q21; + + @TableField(value = "q_22",updateStrategy = FieldStrategy.IGNORED) + private Double q22; + + @TableField(value = "q_23",updateStrategy = FieldStrategy.IGNORED) + private Double q23; + + @TableField(value = "q_24",updateStrategy = FieldStrategy.IGNORED) + private Double q24; + + @TableField(value = "q_25",updateStrategy = FieldStrategy.IGNORED) + private Double q25; + + @TableField(value = "q_26",updateStrategy = FieldStrategy.IGNORED) + private Double q26; + + @TableField(value = "q_27",updateStrategy = FieldStrategy.IGNORED) + private Double q27; + + @TableField(value = "q_28",updateStrategy = FieldStrategy.IGNORED) + private Double q28; + + @TableField(value = "q_29",updateStrategy = FieldStrategy.IGNORED) + private Double q29; + + @TableField(value = "q_30",updateStrategy = FieldStrategy.IGNORED) + private Double q30; + + @TableField(value = "q_31",updateStrategy = FieldStrategy.IGNORED) + private Double q31; + + @TableField(value = "q_32",updateStrategy = FieldStrategy.IGNORED) + private Double q32; + + @TableField(value = "q_33",updateStrategy = FieldStrategy.IGNORED) + private Double q33; + + @TableField(value = "q_34",updateStrategy = FieldStrategy.IGNORED) + private Double q34; + + @TableField(value = "q_35",updateStrategy = FieldStrategy.IGNORED) + private Double q35; + + @TableField(value = "q_36",updateStrategy = FieldStrategy.IGNORED) + private Double q36; + + @TableField(value = "q_37",updateStrategy = FieldStrategy.IGNORED) + private Double q37; + + @TableField(value = "q_38",updateStrategy = FieldStrategy.IGNORED) + private Double q38; + + @TableField(value = "q_39",updateStrategy = FieldStrategy.IGNORED) + private Double q39; + + @TableField(value = "q_40",updateStrategy = FieldStrategy.IGNORED) + private Double q40; + + @TableField(value = "q_41",updateStrategy = FieldStrategy.IGNORED) + private Double q41; + + @TableField(value = "q_42",updateStrategy = FieldStrategy.IGNORED) + private Double q42; + + @TableField(value = "q_43",updateStrategy = FieldStrategy.IGNORED) + private Double q43; + + @TableField(value = "q_44",updateStrategy = FieldStrategy.IGNORED) + private Double q44; + + @TableField(value = "q_45",updateStrategy = FieldStrategy.IGNORED) + private Double q45; + + @TableField(value = "q_46",updateStrategy = FieldStrategy.IGNORED) + private Double q46; + + @TableField(value = "q_47",updateStrategy = FieldStrategy.IGNORED) + private Double q47; + + @TableField(value = "q_48",updateStrategy = FieldStrategy.IGNORED) + private Double q48; + + @TableField(value = "q_49",updateStrategy = FieldStrategy.IGNORED) + private Double q49; + + @TableField(value = "q_50",updateStrategy = FieldStrategy.IGNORED) + private Double q50; + +} diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataHarmPowerSD.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataHarmPowerSD.java new file mode 100644 index 0000000..391942f --- /dev/null +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataHarmPowerSD.java @@ -0,0 +1,191 @@ +package com.njcn.dataProcess.pojo.po; + +import com.baomidou.mybatisplus.annotation.FieldStrategy; +import com.baomidou.mybatisplus.annotation.TableField; +import com.baomidou.mybatisplus.annotation.TableName; +import com.github.jeffreyning.mybatisplus.anno.MppMultiId; +import lombok.Data; + +import java.io.Serializable; +import java.time.LocalDate; + +/** + * 类的介绍： + * + * @author xy + * @version 1.0.0 + */ +@Data +@TableName(value = "R_STAT_DATA_HARMPOWER_S_D") +public class RStatDataHarmPowerSD implements Serializable { + + @MppMultiId + @TableField(value = "time") + private LocalDate time; + + @MppMultiId + @TableField(value = "line_id") + private String lineId; + + @MppMultiId + @TableField(value = "phasic_type") + private String phasicType; + + @MppMultiId + @TableField(value = "value_type") + private String valueType; + + @TableField(value = "quality_flag") + private Integer qualityFlag; + + @TableField(value = "s_1",updateStrategy = FieldStrategy.IGNORED) + private Double s1; + + @TableField(value = "s_2",updateStrategy = FieldStrategy.IGNORED) + private Double s2; + + @TableField(value = "s_3",updateStrategy = FieldStrategy.IGNORED) + private Double s3; + + @TableField(value = "s_4",updateStrategy = FieldStrategy.IGNORED) + private Double s4; + + @TableField(value = "s_5",updateStrategy = FieldStrategy.IGNORED) + private Double s5; + + @TableField(value = "s_6",updateStrategy = FieldStrategy.IGNORED) + private Double s6; + + @TableField(value = "s_7",updateStrategy = FieldStrategy.IGNORED) + private Double s7; + + @TableField(value = "s_8",updateStrategy = FieldStrategy.IGNORED) + private Double s8; + + @TableField(value = "s_9",updateStrategy = FieldStrategy.IGNORED) + private Double s9; + + @TableField(value = "s_10",updateStrategy = FieldStrategy.IGNORED) + private Double s10; + + @TableField(value = "s_11",updateStrategy = FieldStrategy.IGNORED) + private Double s11; + + @TableField(value = "s_12",updateStrategy = FieldStrategy.IGNORED) + private Double s12; + + @TableField(value = "s_13",updateStrategy = FieldStrategy.IGNORED) + private Double s13; + + @TableField(value = "s_14",updateStrategy = FieldStrategy.IGNORED) + private Double s14; + + @TableField(value = "s_15",updateStrategy = FieldStrategy.IGNORED) + private Double s15; + + @TableField(value = "s_16",updateStrategy = FieldStrategy.IGNORED) + private Double s16; + + @TableField(value = "s_17",updateStrategy = FieldStrategy.IGNORED) + private Double s17; + + @TableField(value = "s_18",updateStrategy = FieldStrategy.IGNORED) + private Double s18; + + @TableField(value = "s_19",updateStrategy = FieldStrategy.IGNORED) + private Double s19; + + @TableField(value = "s_20",updateStrategy = FieldStrategy.IGNORED) + private Double s20; + + @TableField(value = "s_21",updateStrategy = FieldStrategy.IGNORED) + private Double s21; + + @TableField(value = "s_22",updateStrategy = FieldStrategy.IGNORED) + private Double s22; + + @TableField(value = "s_23",updateStrategy = FieldStrategy.IGNORED) + private Double s23; + + @TableField(value = "s_24",updateStrategy = FieldStrategy.IGNORED) + private Double s24; + + @TableField(value = "s_25",updateStrategy = FieldStrategy.IGNORED) + private Double s25; + + @TableField(value = "s_26",updateStrategy = FieldStrategy.IGNORED) + private Double s26; + + @TableField(value = "s_27",updateStrategy = FieldStrategy.IGNORED) + private Double s27; + + @TableField(value = "s_28",updateStrategy = FieldStrategy.IGNORED) + private Double s28; + + @TableField(value = "s_29",updateStrategy = FieldStrategy.IGNORED) + private Double s29; + + @TableField(value = "s_30",updateStrategy = FieldStrategy.IGNORED) + private Double s30; + + @TableField(value = "s_31",updateStrategy = FieldStrategy.IGNORED) + private Double s31; + + @TableField(value = "s_32",updateStrategy = FieldStrategy.IGNORED) + private Double s32; + + @TableField(value = "s_33",updateStrategy = FieldStrategy.IGNORED) + private Double s33; + + @TableField(value = "s_34",updateStrategy = FieldStrategy.IGNORED) + private Double s34; + + @TableField(value = "s_35",updateStrategy = FieldStrategy.IGNORED) + private Double s35; + + @TableField(value = "s_36",updateStrategy = FieldStrategy.IGNORED) + private Double s36; + + @TableField(value = "s_37",updateStrategy = FieldStrategy.IGNORED) + private Double s37; + + @TableField(value = "s_38",updateStrategy = FieldStrategy.IGNORED) + private Double s38; + + @TableField(value = "s_39",updateStrategy = FieldStrategy.IGNORED) + private Double s39; + + @TableField(value = "s_40",updateStrategy = FieldStrategy.IGNORED) + private Double s40; + + @TableField(value = "s_41",updateStrategy = FieldStrategy.IGNORED) + private Double s41; + + @TableField(value = "s_42",updateStrategy = FieldStrategy.IGNORED) + private Double s42; + + @TableField(value = "s_43",updateStrategy = FieldStrategy.IGNORED) + private Double s43; + + @TableField(value = "s_44",updateStrategy = FieldStrategy.IGNORED) + private Double s44; + + @TableField(value = "s_45",updateStrategy = FieldStrategy.IGNORED) + private Double s45; + + @TableField(value = "s_46",updateStrategy = FieldStrategy.IGNORED) + private Double s46; + + @TableField(value = "s_47",updateStrategy = FieldStrategy.IGNORED) + private Double s47; + + @TableField(value = "s_48",updateStrategy = FieldStrategy.IGNORED) + private Double s48; + + @TableField(value = "s_49",updateStrategy = FieldStrategy.IGNORED) + private Double s49; + + @TableField(value = "s_50",updateStrategy = FieldStrategy.IGNORED) + private Double s50; + +} diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataHarmRateID.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataHarmRateID.java new file mode 100644 index 0000000..8b4313a --- /dev/null +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataHarmRateID.java @@ -0,0 +1,191 @@ +package com.njcn.dataProcess.pojo.po; + +import com.baomidou.mybatisplus.annotation.FieldStrategy; +import com.baomidou.mybatisplus.annotation.TableField; +import com.baomidou.mybatisplus.annotation.TableName; +import com.github.jeffreyning.mybatisplus.anno.MppMultiId; +import lombok.Data; + +import java.io.Serializable; +import java.time.LocalDate; + +/** + * 类的介绍： + * + * @author xy + * @version 1.0.0 + */ +@Data +@TableName(value = "R_STAT_DATA_HARMRATE_I_D") +public class RStatDataHarmRateID implements Serializable { + + @MppMultiId + @TableField(value = "time") + private LocalDate time; + + @MppMultiId + @TableField(value = "line_id") + private String lineId; + + @MppMultiId + @TableField(value = "phasic_type") + private String phasicType; + + @MppMultiId + @TableField(value = "value_type") + private String valueType; + + @TableField(value = "quality_flag") + private Integer qualityFlag; + + @TableField(value = "i_1",updateStrategy = FieldStrategy.IGNORED) + private Double i1; + + @TableField(value = "i_2",updateStrategy = FieldStrategy.IGNORED) + private Double i2; + + @TableField(value = "i_3",updateStrategy = FieldStrategy.IGNORED) + private Double i3; + + @TableField(value = "i_4",updateStrategy = FieldStrategy.IGNORED) + private Double i4; + + @TableField(value = "i_5",updateStrategy = FieldStrategy.IGNORED) + private Double i5; + + @TableField(value = "i_6",updateStrategy = FieldStrategy.IGNORED) + private Double i6; + + @TableField(value = "i_7",updateStrategy = FieldStrategy.IGNORED) + private Double i7; + + @TableField(value = "i_8",updateStrategy = FieldStrategy.IGNORED) + private Double i8; + + @TableField(value = "i_9",updateStrategy = FieldStrategy.IGNORED) + private Double i9; + + @TableField(value = "i_10",updateStrategy = FieldStrategy.IGNORED) + private Double i10; + + @TableField(value = "i_11",updateStrategy = FieldStrategy.IGNORED) + private Double i11; + + @TableField(value = "i_12",updateStrategy = FieldStrategy.IGNORED) + private Double i12; + + @TableField(value = "i_13",updateStrategy = FieldStrategy.IGNORED) + private Double i13; + + @TableField(value = "i_14",updateStrategy = FieldStrategy.IGNORED) + private Double i14; + + @TableField(value = "i_15",updateStrategy = FieldStrategy.IGNORED) + private Double i15; + + @TableField(value = "i_16",updateStrategy = FieldStrategy.IGNORED) + private Double i16; + + @TableField(value = "i_17",updateStrategy = FieldStrategy.IGNORED) + private Double i17; + + @TableField(value = "i_18",updateStrategy = FieldStrategy.IGNORED) + private Double i18; + + @TableField(value = "i_19",updateStrategy = FieldStrategy.IGNORED) + private Double i19; + + @TableField(value = "i_20",updateStrategy = FieldStrategy.IGNORED) + private Double i20; + + @TableField(value = "i_21",updateStrategy = FieldStrategy.IGNORED) + private Double i21; + + @TableField(value = "i_22",updateStrategy = FieldStrategy.IGNORED) + private Double i22; + + @TableField(value = "i_23",updateStrategy = FieldStrategy.IGNORED) + private Double i23; + + @TableField(value = "i_24",updateStrategy = FieldStrategy.IGNORED) + private Double i24; + + @TableField(value = "i_25",updateStrategy = FieldStrategy.IGNORED) + private Double i25; + + @TableField(value = "i_26",updateStrategy = FieldStrategy.IGNORED) + private Double i26; + + @TableField(value = "i_27",updateStrategy = FieldStrategy.IGNORED) + private Double i27; + + @TableField(value = "i_28",updateStrategy = FieldStrategy.IGNORED) + private Double i28; + + @TableField(value = "i_29",updateStrategy = FieldStrategy.IGNORED) + private Double i29; + + @TableField(value = "i_30",updateStrategy = FieldStrategy.IGNORED) + private Double i30; + + @TableField(value = "i_31",updateStrategy = FieldStrategy.IGNORED) + private Double i31; + + @TableField(value = "i_32",updateStrategy = FieldStrategy.IGNORED) + private Double i32; + + @TableField(value = "i_33",updateStrategy = FieldStrategy.IGNORED) + private Double i33; + + @TableField(value = "i_34",updateStrategy = FieldStrategy.IGNORED) + private Double i34; + + @TableField(value = "i_35",updateStrategy = FieldStrategy.IGNORED) + private Double i35; + + @TableField(value = "i_36",updateStrategy = FieldStrategy.IGNORED) + private Double i36; + + @TableField(value = "i_37",updateStrategy = FieldStrategy.IGNORED) + private Double i37; + + @TableField(value = "i_38",updateStrategy = FieldStrategy.IGNORED) + private Double i38; + + @TableField(value = "i_39",updateStrategy = FieldStrategy.IGNORED) + private Double i39; + + @TableField(value = "i_40",updateStrategy = FieldStrategy.IGNORED) + private Double i40; + + @TableField(value = "i_41",updateStrategy = FieldStrategy.IGNORED) + private Double i41; + + @TableField(value = "i_42",updateStrategy = FieldStrategy.IGNORED) + private Double i42; + + @TableField(value = "i_43",updateStrategy = FieldStrategy.IGNORED) + private Double i43; + + @TableField(value = "i_44",updateStrategy = FieldStrategy.IGNORED) + private Double i44; + + @TableField(value = "i_45",updateStrategy = FieldStrategy.IGNORED) + private Double i45; + + @TableField(value = "i_46",updateStrategy = FieldStrategy.IGNORED) + private Double i46; + + @TableField(value = "i_47",updateStrategy = FieldStrategy.IGNORED) + private Double i47; + + @TableField(value = "i_48",updateStrategy = FieldStrategy.IGNORED) + private Double i48; + + @TableField(value = "i_49",updateStrategy = FieldStrategy.IGNORED) + private Double i49; + + @TableField(value = "i_50",updateStrategy = FieldStrategy.IGNORED) + private Double i50; + +} diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataHarmRateVD.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataHarmRateVD.java new file mode 100644 index 0000000..323240e --- /dev/null +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataHarmRateVD.java @@ -0,0 +1,191 @@ +package com.njcn.dataProcess.pojo.po; + +import com.baomidou.mybatisplus.annotation.FieldStrategy; +import com.baomidou.mybatisplus.annotation.TableField; +import com.baomidou.mybatisplus.annotation.TableName; +import com.github.jeffreyning.mybatisplus.anno.MppMultiId; +import lombok.Data; + +import java.io.Serializable; +import java.time.LocalDate; + +/** + * 类的介绍： + * + * @author xy + * @version 1.0.0 + */ +@Data +@TableName(value = "R_STAT_DATA_HARMRATE_V_D") +public class RStatDataHarmRateVD implements Serializable { + + @MppMultiId + @TableField(value = "time") + private LocalDate time; + + @MppMultiId + @TableField(value = "line_id") + private String lineId; + + @MppMultiId + @TableField(value = "phasic_type") + private String phasicType; + + @MppMultiId + @TableField(value = "value_type") + private String valueType; + + @TableField(value = "quality_flag") + private Integer qualityFlag; + + @TableField(value = "v_1",updateStrategy = FieldStrategy.IGNORED) + private Double v1; + + @TableField(value = "v_2",updateStrategy = FieldStrategy.IGNORED) + private Double v2; + + @TableField(value = "v_3",updateStrategy = FieldStrategy.IGNORED) + private Double v3; + + @TableField(value = "v_4",updateStrategy = FieldStrategy.IGNORED) + private Double v4; + + @TableField(value = "v_5",updateStrategy = FieldStrategy.IGNORED) + private Double v5; + + @TableField(value = "v_6",updateStrategy = FieldStrategy.IGNORED) + private Double v6; + + @TableField(value = "v_7",updateStrategy = FieldStrategy.IGNORED) + private Double v7; + + @TableField(value = "v_8",updateStrategy = FieldStrategy.IGNORED) + private Double v8; + + @TableField(value = "v_9",updateStrategy = FieldStrategy.IGNORED) + private Double v9; + + @TableField(value = "v_10",updateStrategy = FieldStrategy.IGNORED) + private Double v10; + + @TableField(value = "v_11",updateStrategy = FieldStrategy.IGNORED) + private Double v11; + + @TableField(value = "v_12",updateStrategy = FieldStrategy.IGNORED) + private Double v12; + + @TableField(value = "v_13",updateStrategy = FieldStrategy.IGNORED) + private Double v13; + + @TableField(value = "v_14",updateStrategy = FieldStrategy.IGNORED) + private Double v14; + + @TableField(value = "v_15",updateStrategy = FieldStrategy.IGNORED) + private Double v15; + + @TableField(value = "v_16",updateStrategy = FieldStrategy.IGNORED) + private Double v16; + + @TableField(value = "v_17",updateStrategy = FieldStrategy.IGNORED) + private Double v17; + + @TableField(value = "v_18",updateStrategy = FieldStrategy.IGNORED) + private Double v18; + + @TableField(value = "v_19",updateStrategy = FieldStrategy.IGNORED) + private Double v19; + + @TableField(value = "v_20",updateStrategy = FieldStrategy.IGNORED) + private Double v20; + + @TableField(value = "v_21",updateStrategy = FieldStrategy.IGNORED) + private Double v21; + + @TableField(value = "v_22",updateStrategy = FieldStrategy.IGNORED) + private Double v22; + + @TableField(value = "v_23",updateStrategy = FieldStrategy.IGNORED) + private Double v23; + + @TableField(value = "v_24",updateStrategy = FieldStrategy.IGNORED) + private Double v24; + + @TableField(value = "v_25",updateStrategy = FieldStrategy.IGNORED) + private Double v25; + + @TableField(value = "v_26",updateStrategy = FieldStrategy.IGNORED) + private Double v26; + + @TableField(value = "v_27",updateStrategy = FieldStrategy.IGNORED) + private Double v27; + + @TableField(value = "v_28",updateStrategy = FieldStrategy.IGNORED) + private Double v28; + + @TableField(value = "v_29",updateStrategy = FieldStrategy.IGNORED) + private Double v29; + + @TableField(value = "v_30",updateStrategy = FieldStrategy.IGNORED) + private Double v30; + + @TableField(value = "v_31",updateStrategy = FieldStrategy.IGNORED) + private Double v31; + + @TableField(value = "v_32",updateStrategy = FieldStrategy.IGNORED) + private Double v32; + + @TableField(value = "v_33",updateStrategy = FieldStrategy.IGNORED) + private Double v33; + + @TableField(value = "v_34",updateStrategy = FieldStrategy.IGNORED) + private Double v34; + + @TableField(value = "v_35",updateStrategy = FieldStrategy.IGNORED) + private Double v35; + + @TableField(value = "v_36",updateStrategy = FieldStrategy.IGNORED) + private Double v36; + + @TableField(value = "v_37",updateStrategy = FieldStrategy.IGNORED) + private Double v37; + + @TableField(value = "v_38",updateStrategy = FieldStrategy.IGNORED) + private Double v38; + + @TableField(value = "v_39",updateStrategy = FieldStrategy.IGNORED) + private Double v39; + + @TableField(value = "v_40",updateStrategy = FieldStrategy.IGNORED) + private Double v40; + + @TableField(value = "v_41",updateStrategy = FieldStrategy.IGNORED) + private Double v41; + + @TableField(value = "v_42",updateStrategy = FieldStrategy.IGNORED) + private Double v42; + + @TableField(value = "v_43",updateStrategy = FieldStrategy.IGNORED) + private Double v43; + + @TableField(value = "v_44",updateStrategy = FieldStrategy.IGNORED) + private Double v44; + + @TableField(value = "v_45",updateStrategy = FieldStrategy.IGNORED) + private Double v45; + + @TableField(value = "v_46",updateStrategy = FieldStrategy.IGNORED) + private Double v46; + + @TableField(value = "v_47",updateStrategy = FieldStrategy.IGNORED) + private Double v47; + + @TableField(value = "v_48",updateStrategy = FieldStrategy.IGNORED) + private Double v48; + + @TableField(value = "v_49",updateStrategy = FieldStrategy.IGNORED) + private Double v49; + + @TableField(value = "v_50",updateStrategy = FieldStrategy.IGNORED) + private Double v50; + +} diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataID.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataID.java new file mode 100644 index 0000000..efa45c4 --- /dev/null +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataID.java @@ -0,0 +1,209 @@ +package com.njcn.dataProcess.pojo.po; + +import com.baomidou.mybatisplus.annotation.FieldStrategy; +import com.baomidou.mybatisplus.annotation.TableField; +import com.baomidou.mybatisplus.annotation.TableName; +import com.github.jeffreyning.mybatisplus.anno.MppMultiId; +import lombok.Data; + +import java.io.Serializable; +import java.time.LocalDate; + +/** + * 类的介绍： + * + * @author xy + * @version 1.0.0 + */ +@Data +@TableName(value = "r_stat_data_i_d") +public class RStatDataID implements Serializable { + + @MppMultiId + @TableField(value = "time") + private LocalDate time; + + @MppMultiId + @TableField(value = "line_id") + private String lineId; + + @MppMultiId + @TableField(value = "phasic_type") + private String phasicType; + + @MppMultiId + @TableField(value = "value_type") + private String valueType; + + @TableField(value = "quality_flag") + private Integer qualityFlag; + + @TableField(value = "i_neg",updateStrategy = FieldStrategy.IGNORED) + private Double iNeg; + + @TableField(value = "i_pos",updateStrategy = FieldStrategy.IGNORED) + private Double iPos; + + @TableField(value = "i_thd",updateStrategy = FieldStrategy.IGNORED) + private Double iThd; + + @TableField(value = "i_unbalance",updateStrategy = FieldStrategy.IGNORED) + private Double iUnbalance; + + @TableField(value = "i_zero",updateStrategy = FieldStrategy.IGNORED) + private Double iZero; + + @TableField(value = "rms",updateStrategy = FieldStrategy.IGNORED) + private Double rms; + + @TableField(value = "i_1",updateStrategy = FieldStrategy.IGNORED) + private Double i1; + + @TableField(value = "i_2",updateStrategy = FieldStrategy.IGNORED) + private Double i2; + + @TableField(value = "i_3",updateStrategy = FieldStrategy.IGNORED) + private Double i3; + + @TableField(value = "i_4",updateStrategy = FieldStrategy.IGNORED) + private Double i4; + + @TableField(value = "i_5",updateStrategy = FieldStrategy.IGNORED) + private Double i5; + + @TableField(value = "i_6",updateStrategy = FieldStrategy.IGNORED) + private Double i6; + + @TableField(value = "i_7",updateStrategy = FieldStrategy.IGNORED) + private Double i7; + + @TableField(value = "i_8",updateStrategy = FieldStrategy.IGNORED) + private Double i8; + + @TableField(value = "i_9",updateStrategy = FieldStrategy.IGNORED) + private Double i9; + + @TableField(value = "i_10",updateStrategy = FieldStrategy.IGNORED) + private Double i10; + + @TableField(value = "i_11",updateStrategy = FieldStrategy.IGNORED) + private Double i11; + + @TableField(value = "i_12",updateStrategy = FieldStrategy.IGNORED) + private Double i12; + + @TableField(value = "i_13",updateStrategy = FieldStrategy.IGNORED) + private Double i13; + + @TableField(value = "i_14",updateStrategy = FieldStrategy.IGNORED) + private Double i14; + + @TableField(value = "i_15",updateStrategy = FieldStrategy.IGNORED) + private Double i15; + + @TableField(value = "i_16",updateStrategy = FieldStrategy.IGNORED) + private Double i16; + + @TableField(value = "i_17",updateStrategy = FieldStrategy.IGNORED) + private Double i17; + + @TableField(value = "i_18",updateStrategy = FieldStrategy.IGNORED) + private Double i18; + + @TableField(value = "i_19",updateStrategy = FieldStrategy.IGNORED) + private Double i19; + + @TableField(value = "i_20",updateStrategy = FieldStrategy.IGNORED) + private Double i20; + + @TableField(value = "i_21",updateStrategy = FieldStrategy.IGNORED) + private Double i21; + + @TableField(value = "i_22",updateStrategy = FieldStrategy.IGNORED) + private Double i22; + + @TableField(value = "i_23",updateStrategy = FieldStrategy.IGNORED) + private Double i23; + + @TableField(value = "i_24",updateStrategy = FieldStrategy.IGNORED) + private Double i24; + + @TableField(value = "i_25",updateStrategy = FieldStrategy.IGNORED) + private Double i25; + + @TableField(value = "i_26",updateStrategy = FieldStrategy.IGNORED) + private Double i26; + + @TableField(value = "i_27",updateStrategy = FieldStrategy.IGNORED) + private Double i27; + + @TableField(value = "i_28",updateStrategy = FieldStrategy.IGNORED) + private Double i28; + + @TableField(value = "i_29",updateStrategy = FieldStrategy.IGNORED) + private Double i29; + + @TableField(value = "i_30",updateStrategy = FieldStrategy.IGNORED) + private Double i30; + + @TableField(value = "i_31",updateStrategy = FieldStrategy.IGNORED) + private Double i31; + + @TableField(value = "i_32",updateStrategy = FieldStrategy.IGNORED) + private Double i32; + + @TableField(value = "i_33",updateStrategy = FieldStrategy.IGNORED) + private Double i33; + + @TableField(value = "i_34",updateStrategy = FieldStrategy.IGNORED) + private Double i34; + + @TableField(value = "i_35",updateStrategy = FieldStrategy.IGNORED) + private Double i35; + + @TableField(value = "i_36",updateStrategy = FieldStrategy.IGNORED) + private Double i36; + + @TableField(value = "i_37",updateStrategy = FieldStrategy.IGNORED) + private Double i37; + + @TableField(value = "i_38",updateStrategy = FieldStrategy.IGNORED) + private Double i38; + + @TableField(value = "i_39",updateStrategy = FieldStrategy.IGNORED) + private Double i39; + + @TableField(value = "i_40",updateStrategy = FieldStrategy.IGNORED) + private Double i40; + + @TableField(value = "i_41",updateStrategy = FieldStrategy.IGNORED) + private Double i41; + + @TableField(value = "i_42",updateStrategy = FieldStrategy.IGNORED) + private Double i42; + + @TableField(value = "i_43",updateStrategy = FieldStrategy.IGNORED) + private Double i43; + + @TableField(value = "i_44",updateStrategy = FieldStrategy.IGNORED) + private Double i44; + + @TableField(value = "i_45",updateStrategy = FieldStrategy.IGNORED) + private Double i45; + + @TableField(value = "i_46",updateStrategy = FieldStrategy.IGNORED) + private Double i46; + + @TableField(value = "i_47",updateStrategy = FieldStrategy.IGNORED) + private Double i47; + + @TableField(value = "i_48",updateStrategy = FieldStrategy.IGNORED) + private Double i48; + + @TableField(value = "i_49",updateStrategy = FieldStrategy.IGNORED) + private Double i49; + + @TableField(value = "i_50",updateStrategy = FieldStrategy.IGNORED) + private Double i50; + +} diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataInHarmID.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataInHarmID.java new file mode 100644 index 0000000..0becc49 --- /dev/null +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataInHarmID.java @@ -0,0 +1,191 @@ +package com.njcn.dataProcess.pojo.po; + +import com.baomidou.mybatisplus.annotation.FieldStrategy; +import com.baomidou.mybatisplus.annotation.TableField; +import com.baomidou.mybatisplus.annotation.TableName; +import com.github.jeffreyning.mybatisplus.anno.MppMultiId; +import lombok.Data; + +import java.io.Serializable; +import java.time.LocalDate; + +/** + * 类的介绍： + * + * @author xy + * @version 1.0.0 + */ +@Data +@TableName(value = "R_STAT_DATA_INHARM_I_D") +public class RStatDataInHarmID implements Serializable { + + @MppMultiId + @TableField(value = "time") + private LocalDate time; + + @MppMultiId + @TableField(value = "line_id") + private String lineId; + + @MppMultiId + @TableField(value = "phasic_type") + private String phasicType; + + @MppMultiId + @TableField(value = "value_type") + private String valueType; + + @TableField(value = "quality_flag") + private Integer qualityFlag; + + @TableField(value = "i_1",updateStrategy = FieldStrategy.IGNORED) + private Double i1; + + @TableField(value = "i_2",updateStrategy = FieldStrategy.IGNORED) + private Double i2; + + @TableField(value = "i_3",updateStrategy = FieldStrategy.IGNORED) + private Double i3; + + @TableField(value = "i_4",updateStrategy = FieldStrategy.IGNORED) + private Double i4; + + @TableField(value = "i_5",updateStrategy = FieldStrategy.IGNORED) + private Double i5; + + @TableField(value = "i_6",updateStrategy = FieldStrategy.IGNORED) + private Double i6; + + @TableField(value = "i_7",updateStrategy = FieldStrategy.IGNORED) + private Double i7; + + @TableField(value = "i_8",updateStrategy = FieldStrategy.IGNORED) + private Double i8; + + @TableField(value = "i_9",updateStrategy = FieldStrategy.IGNORED) + private Double i9; + + @TableField(value = "i_10",updateStrategy = FieldStrategy.IGNORED) + private Double i10; + + @TableField(value = "i_11",updateStrategy = FieldStrategy.IGNORED) + private Double i11; + + @TableField(value = "i_12",updateStrategy = FieldStrategy.IGNORED) + private Double i12; + + @TableField(value = "i_13",updateStrategy = FieldStrategy.IGNORED) + private Double i13; + + @TableField(value = "i_14",updateStrategy = FieldStrategy.IGNORED) + private Double i14; + + @TableField(value = "i_15",updateStrategy = FieldStrategy.IGNORED) + private Double i15; + + @TableField(value = "i_16",updateStrategy = FieldStrategy.IGNORED) + private Double i16; + + @TableField(value = "i_17",updateStrategy = FieldStrategy.IGNORED) + private Double i17; + + @TableField(value = "i_18",updateStrategy = FieldStrategy.IGNORED) + private Double i18; + + @TableField(value = "i_19",updateStrategy = FieldStrategy.IGNORED) + private Double i19; + + @TableField(value = "i_20",updateStrategy = FieldStrategy.IGNORED) + private Double i20; + + @TableField(value = "i_21",updateStrategy = FieldStrategy.IGNORED) + private Double i21; + + @TableField(value = "i_22",updateStrategy = FieldStrategy.IGNORED) + private Double i22; + + @TableField(value = "i_23",updateStrategy = FieldStrategy.IGNORED) + private Double i23; + + @TableField(value = "i_24",updateStrategy = FieldStrategy.IGNORED) + private Double i24; + + @TableField(value = "i_25",updateStrategy = FieldStrategy.IGNORED) + private Double i25; + + @TableField(value = "i_26",updateStrategy = FieldStrategy.IGNORED) + private Double i26; + + @TableField(value = "i_27",updateStrategy = FieldStrategy.IGNORED) + private Double i27; + + @TableField(value = "i_28",updateStrategy = FieldStrategy.IGNORED) + private Double i28; + + @TableField(value = "i_29",updateStrategy = FieldStrategy.IGNORED) + private Double i29; + + @TableField(value = "i_30",updateStrategy = FieldStrategy.IGNORED) + private Double i30; + + @TableField(value = "i_31",updateStrategy = FieldStrategy.IGNORED) + private Double i31; + + @TableField(value = "i_32",updateStrategy = FieldStrategy.IGNORED) + private Double i32; + + @TableField(value = "i_33",updateStrategy = FieldStrategy.IGNORED) + private Double i33; + + @TableField(value = "i_34",updateStrategy = FieldStrategy.IGNORED) + private Double i34; + + @TableField(value = "i_35",updateStrategy = FieldStrategy.IGNORED) + private Double i35; + + @TableField(value = "i_36",updateStrategy = FieldStrategy.IGNORED) + private Double i36; + + @TableField(value = "i_37",updateStrategy = FieldStrategy.IGNORED) + private Double i37; + + @TableField(value = "i_38",updateStrategy = FieldStrategy.IGNORED) + private Double i38; + + @TableField(value = "i_39",updateStrategy = FieldStrategy.IGNORED) + private Double i39; + + @TableField(value = "i_40",updateStrategy = FieldStrategy.IGNORED) + private Double i40; + + @TableField(value = "i_41",updateStrategy = FieldStrategy.IGNORED) + private Double i41; + + @TableField(value = "i_42",updateStrategy = FieldStrategy.IGNORED) + private Double i42; + + @TableField(value = "i_43",updateStrategy = FieldStrategy.IGNORED) + private Double i43; + + @TableField(value = "i_44",updateStrategy = FieldStrategy.IGNORED) + private Double i44; + + @TableField(value = "i_45",updateStrategy = FieldStrategy.IGNORED) + private Double i45; + + @TableField(value = "i_46",updateStrategy = FieldStrategy.IGNORED) + private Double i46; + + @TableField(value = "i_47",updateStrategy = FieldStrategy.IGNORED) + private Double i47; + + @TableField(value = "i_48",updateStrategy = FieldStrategy.IGNORED) + private Double i48; + + @TableField(value = "i_49",updateStrategy = FieldStrategy.IGNORED) + private Double i49; + + @TableField(value = "i_50",updateStrategy = FieldStrategy.IGNORED) + private Double i50; + +} diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataInHarmVD.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataInHarmVD.java new file mode 100644 index 0000000..2a577a9 --- /dev/null +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataInHarmVD.java @@ -0,0 +1,191 @@ +package com.njcn.dataProcess.pojo.po; + +import com.baomidou.mybatisplus.annotation.FieldStrategy; +import com.baomidou.mybatisplus.annotation.TableField; +import com.baomidou.mybatisplus.annotation.TableName; +import com.github.jeffreyning.mybatisplus.anno.MppMultiId; +import lombok.Data; + +import java.io.Serializable; +import java.time.LocalDate; + +/** + * 类的介绍： + * + * @author xy + * @version 1.0.0 + */ +@Data +@TableName(value = "R_STAT_DATA_INHARM_V_D") +public class RStatDataInHarmVD implements Serializable { + + @MppMultiId + @TableField(value = "time") + private LocalDate time; + + @MppMultiId + @TableField(value = "line_id") + private String lineId; + + @MppMultiId + @TableField(value = "phasic_type") + private String phasicType; + + @MppMultiId + @TableField(value = "value_type") + private String valueType; + + @TableField(value = "quality_flag") + private Integer qualityFlag; + + @TableField(value = "v_1",updateStrategy = FieldStrategy.IGNORED) + private Double v1; + + @TableField(value = "v_2",updateStrategy = FieldStrategy.IGNORED) + private Double v2; + + @TableField(value = "v_3",updateStrategy = FieldStrategy.IGNORED) + private Double v3; + + @TableField(value = "v_4",updateStrategy = FieldStrategy.IGNORED) + private Double v4; + + @TableField(value = "v_5",updateStrategy = FieldStrategy.IGNORED) + private Double v5; + + @TableField(value = "v_6",updateStrategy = FieldStrategy.IGNORED) + private Double v6; + + @TableField(value = "v_7",updateStrategy = FieldStrategy.IGNORED) + private Double v7; + + @TableField(value = "v_8",updateStrategy = FieldStrategy.IGNORED) + private Double v8; + + @TableField(value = "v_9",updateStrategy = FieldStrategy.IGNORED) + private Double v9; + + @TableField(value = "v_10",updateStrategy = FieldStrategy.IGNORED) + private Double v10; + + @TableField(value = "v_11",updateStrategy = FieldStrategy.IGNORED) + private Double v11; + + @TableField(value = "v_12",updateStrategy = FieldStrategy.IGNORED) + private Double v12; + + @TableField(value = "v_13",updateStrategy = FieldStrategy.IGNORED) + private Double v13; + + @TableField(value = "v_14",updateStrategy = FieldStrategy.IGNORED) + private Double v14; + + @TableField(value = "v_15",updateStrategy = FieldStrategy.IGNORED) + private Double v15; + + @TableField(value = "v_16",updateStrategy = FieldStrategy.IGNORED) + private Double v16; + + @TableField(value = "v_17",updateStrategy = FieldStrategy.IGNORED) + private Double v17; + + @TableField(value = "v_18",updateStrategy = FieldStrategy.IGNORED) + private Double v18; + + @TableField(value = "v_19",updateStrategy = FieldStrategy.IGNORED) + private Double v19; + + @TableField(value = "v_20",updateStrategy = FieldStrategy.IGNORED) + private Double v20; + + @TableField(value = "v_21",updateStrategy = FieldStrategy.IGNORED) + private Double v21; + + @TableField(value = "v_22",updateStrategy = FieldStrategy.IGNORED) + private Double v22; + + @TableField(value = "v_23",updateStrategy = FieldStrategy.IGNORED) + private Double v23; + + @TableField(value = "v_24",updateStrategy = FieldStrategy.IGNORED) + private Double v24; + + @TableField(value = "v_25",updateStrategy = FieldStrategy.IGNORED) + private Double v25; + + @TableField(value = "v_26",updateStrategy = FieldStrategy.IGNORED) + private Double v26; + + @TableField(value = "v_27",updateStrategy = FieldStrategy.IGNORED) + private Double v27; + + @TableField(value = "v_28",updateStrategy = FieldStrategy.IGNORED) + private Double v28; + + @TableField(value = "v_29",updateStrategy = FieldStrategy.IGNORED) + private Double v29; + + @TableField(value = "v_30",updateStrategy = FieldStrategy.IGNORED) + private Double v30; + + @TableField(value = "v_31",updateStrategy = FieldStrategy.IGNORED) + private Double v31; + + @TableField(value = "v_32",updateStrategy = FieldStrategy.IGNORED) + private Double v32; + + @TableField(value = "v_33",updateStrategy = FieldStrategy.IGNORED) + private Double v33; + + @TableField(value = "v_34",updateStrategy = FieldStrategy.IGNORED) + private Double v34; + + @TableField(value = "v_35",updateStrategy = FieldStrategy.IGNORED) + private Double v35; + + @TableField(value = "v_36",updateStrategy = FieldStrategy.IGNORED) + private Double v36; + + @TableField(value = "v_37",updateStrategy = FieldStrategy.IGNORED) + private Double v37; + + @TableField(value = "v_38",updateStrategy = FieldStrategy.IGNORED) + private Double v38; + + @TableField(value = "v_39",updateStrategy = FieldStrategy.IGNORED) + private Double v39; + + @TableField(value = "v_40",updateStrategy = FieldStrategy.IGNORED) + private Double v40; + + @TableField(value = "v_41",updateStrategy = FieldStrategy.IGNORED) + private Double v41; + + @TableField(value = "v_42",updateStrategy = FieldStrategy.IGNORED) + private Double v42; + + @TableField(value = "v_43",updateStrategy = FieldStrategy.IGNORED) + private Double v43; + + @TableField(value = "v_44",updateStrategy = FieldStrategy.IGNORED) + private Double v44; + + @TableField(value = "v_45",updateStrategy = FieldStrategy.IGNORED) + private Double v45; + + @TableField(value = "v_46",updateStrategy = FieldStrategy.IGNORED) + private Double v46; + + @TableField(value = "v_47",updateStrategy = FieldStrategy.IGNORED) + private Double v47; + + @TableField(value = "v_48",updateStrategy = FieldStrategy.IGNORED) + private Double v48; + + @TableField(value = "v_49",updateStrategy = FieldStrategy.IGNORED) + private Double v49; + + @TableField(value = "v_50",updateStrategy = FieldStrategy.IGNORED) + private Double v50; + +} diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataPltD.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataPltD.java new file mode 100644 index 0000000..4237a48 --- /dev/null +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataPltD.java @@ -0,0 +1,44 @@ +package com.njcn.dataProcess.pojo.po; + +import com.baomidou.mybatisplus.annotation.FieldStrategy; +import com.baomidou.mybatisplus.annotation.TableField; +import com.baomidou.mybatisplus.annotation.TableName; +import com.github.jeffreyning.mybatisplus.anno.MppMultiId; +import lombok.Data; + +import java.io.Serializable; +import java.time.LocalDate; + +/** + * 类的介绍： + * + * @author xy + * @version 1.0.0 + */ +@Data +@TableName(value = "R_STAT_DATA_PLT_D") +public class RStatDataPltD implements Serializable { + + @MppMultiId + @TableField(value = "time") + private LocalDate time; + + @MppMultiId + @TableField(value = "line_id") + private String lineId; + + @MppMultiId + @TableField(value = "phasic_type") + private String phasicType; + + @MppMultiId + @TableField(value = "value_type") + private String valueType; + + @TableField(value = "quality_flag") + private Integer qualityFlag; + + @TableField(value = "plt",updateStrategy = FieldStrategy.IGNORED) + private Double plt; + +} diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataVD.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataVD.java index ca7e240..577a81e 100644 --- a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataVD.java +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataVD.java @@ -1,7 +1,6 @@ package com.njcn.dataProcess.pojo.po; -import com.baomidou.mybatisplus.annotation.TableField; -import com.baomidou.mybatisplus.annotation.TableName; +import com.baomidou.mybatisplus.annotation.*; import com.github.jeffreyning.mybatisplus.anno.MppMultiId; import lombok.Data; @@ -37,187 +36,187 @@ public class RStatDataVD implements Serializable { @TableField(value = "quality_flag") private Integer qualityFlag; - @TableField(value = "freq") + @TableField(value = "freq",updateStrategy = FieldStrategy.IGNORED) private Double freq; - @TableField(value = "freq_dev") + @TableField(value = "freq_dev",updateStrategy = FieldStrategy.IGNORED) private Double freqDev; - @TableField(value = "rms") + @TableField(value = "rms",updateStrategy = FieldStrategy.IGNORED) private Double rms; - @TableField(value = "rms_lvr") + @TableField(value = "rms_lvr",updateStrategy = FieldStrategy.IGNORED) private Double rmsLvr; - @TableField(value = "v_neg") + @TableField(value = "v_neg",updateStrategy = FieldStrategy.IGNORED) private Double vNeg; - @TableField(value = "v_pos") + @TableField(value = "v_pos",updateStrategy = FieldStrategy.IGNORED) private Double vPos; - @TableField(value = "v_thd") + @TableField(value = "v_thd",updateStrategy = FieldStrategy.IGNORED) private Double vThd; - @TableField(value = "v_unbalance") + @TableField(value = "v_unbalance",updateStrategy = FieldStrategy.IGNORED) private Double vUnbalance; - @TableField(value = "v_zero") + @TableField(value = "v_zero",updateStrategy = FieldStrategy.IGNORED) private Double vZero; - @TableField(value = "vl_dev") + @TableField(value = "vl_dev",updateStrategy = FieldStrategy.IGNORED) private Double vlDev; - @TableField(value = "vu_dev") + @TableField(value = "vu_dev",updateStrategy = FieldStrategy.IGNORED) private Double vuDev; - @TableField(value = "v_1") + @TableField(value = "v_1",updateStrategy = FieldStrategy.IGNORED) private Double v1; - @TableField(value = "v_2") + @TableField(value = "v_2",updateStrategy = FieldStrategy.IGNORED) private Double v2; - @TableField(value = "v_3") + @TableField(value = "v_3",updateStrategy = FieldStrategy.IGNORED) private Double v3; - @TableField(value = "v_4") + @TableField(value = "v_4",updateStrategy = FieldStrategy.IGNORED) private Double v4; - @TableField(value = "v_5") + @TableField(value = "v_5",updateStrategy = FieldStrategy.IGNORED) private Double v5; - @TableField(value = "v_6") + @TableField(value = "v_6",updateStrategy = FieldStrategy.IGNORED) private Double v6; - @TableField(value = "v_7") + @TableField(value = "v_7",updateStrategy = FieldStrategy.IGNORED) private Double v7; - @TableField(value = "v_8") + @TableField(value = "v_8",updateStrategy = FieldStrategy.IGNORED) private Double v8; - @TableField(value = "v_9") + @TableField(value = "v_9",updateStrategy = FieldStrategy.IGNORED) private Double v9; - @TableField(value = "v_10") + @TableField(value = "v_10",updateStrategy = FieldStrategy.IGNORED) private Double v10; - @TableField(value = "v_11") + @TableField(value = "v_11",updateStrategy = FieldStrategy.IGNORED) private Double v11; - @TableField(value = "v_12") + @TableField(value = "v_12",updateStrategy = FieldStrategy.IGNORED) private Double v12; - @TableField(value = "v_13") + @TableField(value = "v_13",updateStrategy = FieldStrategy.IGNORED) private Double v13; - @TableField(value = "v_14") + @TableField(value = "v_14",updateStrategy = FieldStrategy.IGNORED) private Double v14; - @TableField(value = "v_15") + @TableField(value = "v_15",updateStrategy = FieldStrategy.IGNORED) private Double v15; - @TableField(value = "v_16") + @TableField(value = "v_16",updateStrategy = FieldStrategy.IGNORED) private Double v16; - @TableField(value = "v_17") + @TableField(value = "v_17",updateStrategy = FieldStrategy.IGNORED) private Double v17; - @TableField(value = "v_18") + @TableField(value = "v_18",updateStrategy = FieldStrategy.IGNORED) private Double v18; - @TableField(value = "v_19") + @TableField(value = "v_19",updateStrategy = FieldStrategy.IGNORED) private Double v19; - @TableField(value = "v_20") + @TableField(value = "v_20",updateStrategy = FieldStrategy.IGNORED) private Double v20; - @TableField(value = "v_21") + @TableField(value = "v_21",updateStrategy = FieldStrategy.IGNORED) private Double v21; - @TableField(value = "v_22") + @TableField(value = "v_22",updateStrategy = FieldStrategy.IGNORED) private Double v22; - @TableField(value = "v_23") + @TableField(value = "v_23",updateStrategy = FieldStrategy.IGNORED) private Double v23; - @TableField(value = "v_24") + @TableField(value = "v_24",updateStrategy = FieldStrategy.IGNORED) private Double v24; - @TableField(value = "v_25") + @TableField(value = "v_25",updateStrategy = FieldStrategy.IGNORED) private Double v25; - @TableField(value = "v_26") + @TableField(value = "v_26",updateStrategy = FieldStrategy.IGNORED) private Double v26; - @TableField(value = "v_27") + @TableField(value = "v_27",updateStrategy = FieldStrategy.IGNORED) private Double v27; - @TableField(value = "v_28") + @TableField(value = "v_28",updateStrategy = FieldStrategy.IGNORED) private Double v28; - @TableField(value = "v_29") + @TableField(value = "v_29",updateStrategy = FieldStrategy.IGNORED) private Double v29; - @TableField(value = "v_30") + @TableField(value = "v_30",updateStrategy = FieldStrategy.IGNORED) private Double v30; - @TableField(value = "v_31") + @TableField(value = "v_31",updateStrategy = FieldStrategy.IGNORED) private Double v31; - @TableField(value = "v_32") + @TableField(value = "v_32",updateStrategy = FieldStrategy.IGNORED) private Double v32; - @TableField(value = "v_33") + @TableField(value = "v_33",updateStrategy = FieldStrategy.IGNORED) private Double v33; - @TableField(value = "v_34") + @TableField(value = "v_34",updateStrategy = FieldStrategy.IGNORED) private Double v34; - @TableField(value = "v_35") + @TableField(value = "v_35",updateStrategy = FieldStrategy.IGNORED) private Double v35; - @TableField(value = "v_36") + @TableField(value = "v_36",updateStrategy = FieldStrategy.IGNORED) private Double v36; - @TableField(value = "v_37") + @TableField(value = "v_37",updateStrategy = FieldStrategy.IGNORED) private Double v37; - @TableField(value = "v_38") + @TableField(value = "v_38",updateStrategy = FieldStrategy.IGNORED) private Double v38; - @TableField(value = "v_39") + @TableField(value = "v_39",updateStrategy = FieldStrategy.IGNORED) private Double v39; - @TableField(value = "v_40") + @TableField(value = "v_40",updateStrategy = FieldStrategy.IGNORED) private Double v40; - @TableField(value = "v_41") + @TableField(value = "v_41",updateStrategy = FieldStrategy.IGNORED) private Double v41; - @TableField(value = "v_42") + @TableField(value = "v_42",updateStrategy = FieldStrategy.IGNORED) private Double v42; - @TableField(value = "v_43") + @TableField(value = "v_43",updateStrategy = FieldStrategy.IGNORED) private Double v43; - @TableField(value = "v_44") + @TableField(value = "v_44",updateStrategy = FieldStrategy.IGNORED) private Double v44; - @TableField(value = "v_45") + @TableField(value = "v_45",updateStrategy = FieldStrategy.IGNORED) private Double v45; - @TableField(value = "v_46") + @TableField(value = "v_46",updateStrategy = FieldStrategy.IGNORED) private Double v46; - @TableField(value = "v_47") + @TableField(value = "v_47",updateStrategy = FieldStrategy.IGNORED) private Double v47; - @TableField(value = "v_48") + @TableField(value = "v_48",updateStrategy = FieldStrategy.IGNORED) private Double v48; - @TableField(value = "v_49") + @TableField(value = "v_49",updateStrategy = FieldStrategy.IGNORED) private Double v49; - @TableField(value = "v_50") + @TableField(value = "v_50",updateStrategy = FieldStrategy.IGNORED) private Double v50; } diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/util/DataCommonUtils.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/util/DataCommonUtils.java new file mode 100644 index 0000000..6b1ef76 --- /dev/null +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/util/DataCommonUtils.java @@ -0,0 +1,20 @@ +package com.njcn.dataProcess.util; + +/** + * @author xy + * @description 公共方法 + */ + +public class DataCommonUtils { + + /** + * 传入字典类型的电压等级，获取可以计算的数据 + * 例如 35kV->32.0 + * 0.38kV->0.38 + */ + public static Double getVoltageData(String lineVoltage) { + String numberStr = lineVoltage.replace("kV", ""); + return Double.parseDouble(numberStr); + } + +} diff --git a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/util/TimeUtils.java b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/util/TimeUtils.java index fb859b4..00f46e1 100644 --- a/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/util/TimeUtils.java +++ b/data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/util/TimeUtils.java @@ -27,6 +27,24 @@ public class TimeUtils { return dateTime.toLocalDate(); } + /** + * String类型的yyyy-MM-dd HH:mm:ss转成LocalDataTime yyyy-MM-dd HH:mm:ss + * @param time + * @return LocalDataTime + */ + public static LocalDateTime StringToLocalDateTime(String time) { + return LocalDateTime.parse(time, DATE_TIME_FORMATTER); + } + + /** + * LocalDataTime类型的yyyy-MM-dd HH:mm:ss转成String yyyy-MM-dd HH:mm:ss + * @param time + * @return LocalDataTime + */ + public static String LocalDateTimeToString(LocalDateTime time) { + return time.format(DATE_TIME_FORMATTER); + } + /** * String类型的yyyy-MM-dd转成yyyy-MM-dd * @param time diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataFlickerController.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataFlickerController.java index edb1464..8f179c8 100644 --- a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataFlickerController.java +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataFlickerController.java @@ -6,10 +6,13 @@ import com.njcn.common.pojo.enums.common.LogEnum; import com.njcn.common.pojo.enums.response.CommonResponseEnum; import com.njcn.common.pojo.response.HttpResult; import com.njcn.common.utils.HttpResultUtil; - import com.njcn.dataProcess.annotation.InsertBean; import com.njcn.dataProcess.annotation.QueryBean; import com.njcn.dataProcess.dto.DataFlickerDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.pojo.dto.CommonMinuteDto; +import com.njcn.dataProcess.pojo.dto.DataFlickerDto; +import com.njcn.dataProcess.pojo.dto.DataIDto; import com.njcn.dataProcess.service.IDataFlicker; import com.njcn.web.controller.BaseController; import io.swagger.annotations.Api; @@ -54,9 +57,31 @@ public class DataFlickerController extends BaseController { return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, null, methodDescribe); } + @OperateInfo(info = LogEnum.BUSINESS_COMMON,operateType = OperateType.QUERY) + @PostMapping("/getRawData") + @ApiOperation("获取原始数据") + public HttpResult> getRawData(@RequestBody LineCountEvaluateParam lineParam) { + String methodDescribe = getMethodDescribe("getRawData"); + List data = dataFlickerQuery.getRawData(lineParam); + return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, data, methodDescribe); + } + @OperateInfo(info = LogEnum.BUSINESS_COMMON,operateType = OperateType.QUERY) + @PostMapping("/getBaseData") + @ApiOperation("获取算法基础数据") + public HttpResult> getBaseData(@RequestBody LineCountEvaluateParam lineParam) { + String methodDescribe = getMethodDescribe("getBaseData"); + List data = dataFlickerQuery.getBaseData(lineParam); + return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, data, methodDescribe); + } - - + @OperateInfo(info = LogEnum.BUSINESS_COMMON,operateType = OperateType.ADD) + @PostMapping("/addList") + @ApiOperation("关系型数据库插入数据") + public HttpResult addList(@RequestBody List dataFlickerDtoList) { + String methodDescribe = getMethodDescribe("addList"); + dataFlickerInsert.addList(dataFlickerDtoList); + return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, "", methodDescribe); + } } diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataFlucController.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataFlucController.java index 35ba8bd..45b49f3 100644 --- a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataFlucController.java +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataFlucController.java @@ -6,9 +6,12 @@ import com.njcn.common.pojo.enums.common.LogEnum; import com.njcn.common.pojo.enums.response.CommonResponseEnum; import com.njcn.common.pojo.response.HttpResult; import com.njcn.common.utils.HttpResultUtil; -import com.njcn.dataProcess.dto.DataFlucDTO; import com.njcn.dataProcess.annotation.InsertBean; import com.njcn.dataProcess.annotation.QueryBean; +import com.njcn.dataProcess.dto.DataFlucDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.pojo.dto.CommonMinuteDto; +import com.njcn.dataProcess.pojo.dto.DataFlucDto; import com.njcn.dataProcess.service.IDataFluc; import com.njcn.web.controller.BaseController; import io.swagger.annotations.Api; @@ -42,7 +45,6 @@ public class DataFlucController extends BaseController { @InsertBean private IDataFluc dataFlucInsert; - @OperateInfo(info = LogEnum.BUSINESS_COMMON,operateType = OperateType.ADD) @PostMapping("/batchInsertion") @ApiOperation("批量插入") @@ -53,9 +55,31 @@ public class DataFlucController extends BaseController { return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, null, methodDescribe); } + @OperateInfo(info = LogEnum.BUSINESS_COMMON,operateType = OperateType.QUERY) + @PostMapping("/getRawData") + @ApiOperation("获取原始数据") + public HttpResult> getRawData(@RequestBody LineCountEvaluateParam lineParam) { + String methodDescribe = getMethodDescribe("getRawData"); + List data = dataFlucQuery.getRawData(lineParam); + return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, data, methodDescribe); + } + @OperateInfo(info = LogEnum.BUSINESS_COMMON,operateType = OperateType.QUERY) + @PostMapping("/getBaseData") + @ApiOperation("获取算法基础数据") + public HttpResult> getBaseData(@RequestBody LineCountEvaluateParam lineParam) { + String methodDescribe = getMethodDescribe("getBaseData"); + List data = dataFlucQuery.getBaseData(lineParam); + return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, data, methodDescribe); + } - - + @OperateInfo(info = LogEnum.BUSINESS_COMMON,operateType = OperateType.ADD) + @PostMapping("/addList") + @ApiOperation("关系型数据库插入数据") + public HttpResult addList(@RequestBody List dataFlucDtoList) { + String methodDescribe = getMethodDescribe("addList"); + dataFlucInsert.addList(dataFlucDtoList); + return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, "", methodDescribe); + } } diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataHarmRateVController.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataHarmRateVController.java new file mode 100644 index 0000000..d3f5dfc --- /dev/null +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataHarmRateVController.java @@ -0,0 +1,55 @@ +package com.njcn.dataProcess.controller; + +import com.njcn.common.pojo.annotation.OperateInfo; +import com.njcn.common.pojo.constant.OperateType; +import com.njcn.common.pojo.enums.common.LogEnum; +import com.njcn.common.pojo.enums.response.CommonResponseEnum; +import com.njcn.common.pojo.response.HttpResult; +import com.njcn.common.utils.HttpResultUtil; +import com.njcn.dataProcess.annotation.InsertBean; +import com.njcn.dataProcess.annotation.QueryBean; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.pojo.dto.DataHarmDto; +import com.njcn.dataProcess.service.IDataHarmRateV; +import com.njcn.web.controller.BaseController; +import io.swagger.annotations.Api; +import io.swagger.annotations.ApiOperation; +import lombok.extern.slf4j.Slf4j; +import org.springframework.stereotype.Controller; +import org.springframework.validation.annotation.Validated; +import org.springframework.web.bind.annotation.PostMapping; +import org.springframework.web.bind.annotation.RequestBody; +import org.springframework.web.bind.annotation.RequestMapping; +import org.springframework.web.bind.annotation.RestController; + +import java.util.List; + +/** + * @author hongawen + * @version 1.0 + * @data 2024/11/6 19:48 + */ +@Validated +@Slf4j +@Controller +@RestController +@RequestMapping("/dataHarmRateV") +@Api(tags = "谐波电压含有率") +public class DataHarmRateVController extends BaseController { + + @QueryBean + private IDataHarmRateV dataHarmRateVQuery; + + @InsertBean + private IDataHarmRateV dataHarmRateVInsert; + + @OperateInfo(info = LogEnum.BUSINESS_COMMON,operateType = OperateType.QUERY) + @PostMapping("/getRawData") + @ApiOperation("获取原始数据") + public HttpResult> getRawData(@RequestBody LineCountEvaluateParam lineParam) { + String methodDescribe = getMethodDescribe("getRawData"); + List data = dataHarmRateVQuery.getRawData(lineParam); + return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, data, methodDescribe); + } + +} diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataHarmphasicIController.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataHarmphasicIController.java index 6a7ba94..a6c1c05 100644 --- a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataHarmphasicIController.java +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataHarmphasicIController.java @@ -6,9 +6,12 @@ import com.njcn.common.pojo.enums.common.LogEnum; import com.njcn.common.pojo.enums.response.CommonResponseEnum; import com.njcn.common.pojo.response.HttpResult; import com.njcn.common.utils.HttpResultUtil; -import com.njcn.dataProcess.dto.DataHarmphasicIDTO; import com.njcn.dataProcess.annotation.InsertBean; import com.njcn.dataProcess.annotation.QueryBean; +import com.njcn.dataProcess.dto.DataHarmphasicIDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.pojo.dto.CommonMinuteDto; +import com.njcn.dataProcess.pojo.dto.DataHarmPhasicIDto; import com.njcn.dataProcess.service.IDataHarmphasicI; import com.njcn.web.controller.BaseController; import io.swagger.annotations.Api; @@ -53,7 +56,23 @@ public class DataHarmphasicIController extends BaseController { return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, null, methodDescribe); } + @OperateInfo(info = LogEnum.BUSINESS_COMMON,operateType = OperateType.QUERY) + @PostMapping("/getBaseData") + @ApiOperation("获取算法基础数据") + public HttpResult> getBaseData(@RequestBody LineCountEvaluateParam lineParam) { + String methodDescribe = getMethodDescribe("getBaseData"); + List data = dataHarmphasicIQuery.getBaseData(lineParam); + return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, data, methodDescribe); + } + @OperateInfo(info = LogEnum.BUSINESS_COMMON,operateType = OperateType.ADD) + @PostMapping("/addList") + @ApiOperation("关系型数据库插入数据") + public HttpResult addList(@RequestBody List list) { + String methodDescribe = getMethodDescribe("addList"); + dataHarmphasicIInsert.addList(list); + return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, "", methodDescribe); + } diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataHarmphasicVController.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataHarmphasicVController.java index 11c3e2b..fff0d3e 100644 --- a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataHarmphasicVController.java +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataHarmphasicVController.java @@ -6,9 +6,14 @@ import com.njcn.common.pojo.enums.common.LogEnum; import com.njcn.common.pojo.enums.response.CommonResponseEnum; import com.njcn.common.pojo.response.HttpResult; import com.njcn.common.utils.HttpResultUtil; -import com.njcn.dataProcess.dto.DataHarmphasicVDTO; import com.njcn.dataProcess.annotation.InsertBean; import com.njcn.dataProcess.annotation.QueryBean; +import com.njcn.dataProcess.dto.DataHarmphasicVDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.pojo.dto.CommonMinuteDto; +import com.njcn.dataProcess.pojo.dto.DataHarmDto; +import com.njcn.dataProcess.pojo.dto.DataHarmPhasicIDto; +import com.njcn.dataProcess.pojo.dto.DataHarmPhasicVDto; import com.njcn.dataProcess.service.IDataHarmphasicV; import com.njcn.web.controller.BaseController; import io.swagger.annotations.Api; @@ -53,9 +58,31 @@ public class DataHarmphasicVController extends BaseController { return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, null, methodDescribe); } + @OperateInfo(info = LogEnum.BUSINESS_COMMON,operateType = OperateType.QUERY) + @PostMapping("/getRawData") + @ApiOperation("获取原始数据") + public HttpResult> getRawData(@RequestBody LineCountEvaluateParam lineParam) { + String methodDescribe = getMethodDescribe("getRawData"); + List data = dataHarmphasicVQuery.getRawData(lineParam); + return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, data, methodDescribe); + } + @OperateInfo(info = LogEnum.BUSINESS_COMMON,operateType = OperateType.QUERY) + @PostMapping("/getBaseData") + @ApiOperation("获取算法基础数据") + public HttpResult> getBaseData(@RequestBody LineCountEvaluateParam lineParam) { + String methodDescribe = getMethodDescribe("getBaseData"); + List data = dataHarmphasicVQuery.getBaseData(lineParam); + return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, data, methodDescribe); + } - - + @OperateInfo(info = LogEnum.BUSINESS_COMMON,operateType = OperateType.ADD) + @PostMapping("/addList") + @ApiOperation("关系型数据库插入数据") + public HttpResult addList(@RequestBody List list) { + String methodDescribe = getMethodDescribe("addList"); + dataHarmphasicVInsert.addList(list); + return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, "", methodDescribe); + } } diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataHarmpowerPController.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataHarmpowerPController.java index 6ecaad6..523b1a3 100644 --- a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataHarmpowerPController.java +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataHarmpowerPController.java @@ -6,9 +6,14 @@ import com.njcn.common.pojo.enums.common.LogEnum; import com.njcn.common.pojo.enums.response.CommonResponseEnum; import com.njcn.common.pojo.response.HttpResult; import com.njcn.common.utils.HttpResultUtil; -import com.njcn.dataProcess.dto.DataHarmpowerPDTO; import com.njcn.dataProcess.annotation.InsertBean; import com.njcn.dataProcess.annotation.QueryBean; +import com.njcn.dataProcess.dto.DataHarmpowerPDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.pojo.dto.CommonMinuteDto; +import com.njcn.dataProcess.pojo.dto.DataHarmPhasicVDto; +import com.njcn.dataProcess.pojo.dto.DataHarmPowerPDto; +import com.njcn.dataProcess.pojo.dto.DataPowerPDto; import com.njcn.dataProcess.service.IDataHarmpowerP; import com.njcn.web.controller.BaseController; import io.swagger.annotations.Api; @@ -53,9 +58,31 @@ public class DataHarmpowerPController extends BaseController { return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, null, methodDescribe); } + @OperateInfo(info = LogEnum.BUSINESS_COMMON,operateType = OperateType.QUERY) + @PostMapping("/getRawData") + @ApiOperation("获取原始数据") + public HttpResult> getRawData(@RequestBody LineCountEvaluateParam lineParam) { + String methodDescribe = getMethodDescribe("getRawData"); + List data = dataHarmpowerPQuery.getRawData(lineParam); + return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, data, methodDescribe); + } + @OperateInfo(info = LogEnum.BUSINESS_COMMON,operateType = OperateType.QUERY) + @PostMapping("/getBaseData") + @ApiOperation("获取算法基础数据") + public HttpResult> getBaseData(@RequestBody LineCountEvaluateParam lineParam) { + String methodDescribe = getMethodDescribe("getBaseData"); + List data = dataHarmpowerPQuery.getBaseData(lineParam); + return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, data, methodDescribe); + } - - + @OperateInfo(info = LogEnum.BUSINESS_COMMON,operateType = OperateType.ADD) + @PostMapping("/addList") + @ApiOperation("关系型数据库插入数据") + public HttpResult addList(@RequestBody List list) { + String methodDescribe = getMethodDescribe("addList"); + dataHarmpowerPInsert.addList(list); + return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, "", methodDescribe); + } } diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataHarmpowerQController.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataHarmpowerQController.java index ee09892..60150c5 100644 --- a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataHarmpowerQController.java +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataHarmpowerQController.java @@ -9,6 +9,10 @@ import com.njcn.common.utils.HttpResultUtil; import com.njcn.dataProcess.dto.DataHarmpowerQDTO; import com.njcn.dataProcess.annotation.InsertBean; import com.njcn.dataProcess.annotation.QueryBean; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.pojo.dto.CommonMinuteDto; +import com.njcn.dataProcess.pojo.dto.DataHarmPowerPDto; +import com.njcn.dataProcess.pojo.dto.DataHarmPowerQDto; import com.njcn.dataProcess.service.IDataHarmpowerQ; import com.njcn.web.controller.BaseController; import io.swagger.annotations.Api; @@ -53,7 +57,23 @@ public class DataHarmpowerQController extends BaseController { return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, null, methodDescribe); } + @OperateInfo(info = LogEnum.BUSINESS_COMMON,operateType = OperateType.QUERY) + @PostMapping("/getBaseData") + @ApiOperation("获取算法基础数据") + public HttpResult> getBaseData(@RequestBody LineCountEvaluateParam lineParam) { + String methodDescribe = getMethodDescribe("getBaseData"); + List data = dataHarmpowerQQuery.getBaseData(lineParam); + return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, data, methodDescribe); + } + @OperateInfo(info = LogEnum.BUSINESS_COMMON,operateType = OperateType.ADD) + @PostMapping("/addList") + @ApiOperation("关系型数据库插入数据") + public HttpResult addList(@RequestBody List list) { + String methodDescribe = getMethodDescribe("addList"); + dataHarmpowerQInsert.addList(list); + return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, "", methodDescribe); + } diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataIController.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataIController.java index 6583da3..277160e 100644 --- a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataIController.java +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataIController.java @@ -6,9 +6,12 @@ import com.njcn.common.pojo.enums.common.LogEnum; import com.njcn.common.pojo.enums.response.CommonResponseEnum; import com.njcn.common.pojo.response.HttpResult; import com.njcn.common.utils.HttpResultUtil; -import com.njcn.dataProcess.dto.DataIDTO; import com.njcn.dataProcess.annotation.InsertBean; import com.njcn.dataProcess.annotation.QueryBean; +import com.njcn.dataProcess.dto.DataIDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.pojo.dto.CommonMinuteDto; +import com.njcn.dataProcess.pojo.dto.DataIDto; import com.njcn.dataProcess.service.IDataI; import com.njcn.web.controller.BaseController; import io.swagger.annotations.Api; @@ -53,9 +56,31 @@ public class DataIController extends BaseController { return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, null, methodDescribe); } + @OperateInfo(info = LogEnum.BUSINESS_COMMON,operateType = OperateType.QUERY) + @PostMapping("/getRawData") + @ApiOperation("获取原始数据") + public HttpResult> getRawData(@RequestBody LineCountEvaluateParam lineParam) { + String methodDescribe = getMethodDescribe("getRawData"); + List data = dataIQuery.getRawData(lineParam); + return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, data, methodDescribe); + } + @OperateInfo(info = LogEnum.BUSINESS_COMMON,operateType = OperateType.QUERY) + @PostMapping("/getBaseData") + @ApiOperation("获取算法基础数据") + public HttpResult> getBaseData(@RequestBody LineCountEvaluateParam lineParam) { + String methodDescribe = getMethodDescribe("getBaseData"); + List data = dataIQuery.getBaseData(lineParam); + return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, data, methodDescribe); + } - - + @OperateInfo(info = LogEnum.BUSINESS_COMMON,operateType = OperateType.ADD) + @PostMapping("/addList") + @ApiOperation("关系型数据库插入数据") + public HttpResult addList(@RequestBody List dataIDtoList) { + String methodDescribe = getMethodDescribe("addList"); + dataIInsert.addList(dataIDtoList); + return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, "", methodDescribe); + } } diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataInharmVController.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataInharmVController.java index f6db2fa..0f33268 100644 --- a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataInharmVController.java +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataInharmVController.java @@ -9,6 +9,8 @@ import com.njcn.common.utils.HttpResultUtil; import com.njcn.dataProcess.dto.DataInharmVDTO; import com.njcn.dataProcess.annotation.InsertBean; import com.njcn.dataProcess.annotation.QueryBean; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.pojo.dto.DataHarmDto; import com.njcn.dataProcess.service.IDataInharmV; import com.njcn.web.controller.BaseController; import io.swagger.annotations.Api; @@ -53,9 +55,14 @@ public class DataInharmVController extends BaseController { return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, null, methodDescribe); } - - - + @OperateInfo(info = LogEnum.BUSINESS_COMMON,operateType = OperateType.QUERY) + @PostMapping("/getRawData") + @ApiOperation("获取原始数据") + public HttpResult> getRawData(@RequestBody LineCountEvaluateParam lineParam) { + String methodDescribe = getMethodDescribe("getRawData"); + List data = dataInharmVQuery.getRawData(lineParam); + return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, data, methodDescribe); + } } diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataPltController.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataPltController.java index d848fbe..b047ddc 100644 --- a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataPltController.java +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataPltController.java @@ -6,9 +6,11 @@ import com.njcn.common.pojo.enums.common.LogEnum; import com.njcn.common.pojo.enums.response.CommonResponseEnum; import com.njcn.common.pojo.response.HttpResult; import com.njcn.common.utils.HttpResultUtil; -import com.njcn.dataProcess.dto.DataPltDTO; import com.njcn.dataProcess.annotation.InsertBean; import com.njcn.dataProcess.annotation.QueryBean; +import com.njcn.dataProcess.dto.DataPltDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.pojo.dto.DataPltDto; import com.njcn.dataProcess.service.IDataPlt; import com.njcn.web.controller.BaseController; import io.swagger.annotations.Api; @@ -53,9 +55,14 @@ public class DataPltController extends BaseController { return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, null, methodDescribe); } - - - + @OperateInfo(info = LogEnum.BUSINESS_COMMON,operateType = OperateType.QUERY) + @PostMapping("/getRawData") + @ApiOperation("获取原始数据") + public HttpResult> getRawData(@RequestBody LineCountEvaluateParam lineParam) { + String methodDescribe = getMethodDescribe("getRawData"); + List data = dataPltQuery.getRawData(lineParam); + return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, data, methodDescribe); + } } diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataVController.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataVController.java index 0b955e6..fa20fb3 100644 --- a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataVController.java +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataVController.java @@ -105,9 +105,10 @@ public class DataVController extends BaseController { @OperateInfo(info = LogEnum.BUSINESS_COMMON,operateType = OperateType.ADD) @PostMapping("/addInfluxDbList") @ApiOperation("时序数据库插入数据") + @Deprecated public HttpResult addInfluxDbList(@RequestBody List dataVList) { String methodDescribe = getMethodDescribe("addInfluxDbList"); - dataVInsert.addInfluxDbList(dataVList); + dataVQuery.addInfluxDbList(dataVList); return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, "", methodDescribe); } } diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/PqDataVerifyController.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/PqDataVerifyController.java new file mode 100644 index 0000000..91cbc85 --- /dev/null +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/PqDataVerifyController.java @@ -0,0 +1,57 @@ +package com.njcn.dataProcess.controller; + + +import com.njcn.common.pojo.annotation.OperateInfo; +import com.njcn.common.pojo.constant.OperateType; +import com.njcn.common.pojo.enums.common.LogEnum; +import com.njcn.common.pojo.enums.response.CommonResponseEnum; +import com.njcn.common.pojo.response.HttpResult; +import com.njcn.common.utils.HttpResultUtil; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.pojo.po.PqDataVerify; +import com.njcn.dataProcess.service.IPqDataVerifyService; +import com.njcn.web.controller.BaseController; +import io.swagger.annotations.ApiOperation; +import org.springframework.web.bind.annotation.PostMapping; +import org.springframework.web.bind.annotation.RequestBody; +import org.springframework.web.bind.annotation.RequestMapping; +import org.springframework.web.bind.annotation.RestController; + +import javax.annotation.Resource; +import java.util.List; + +/** + *

+ * 前端控制器 + *

+ * + * @author xy + * @since 2025-02-17 + */ +@RestController +@RequestMapping("/pqDataVerify") +public class PqDataVerifyController extends BaseController { + + @Resource + private IPqDataVerifyService pqDataVerifyService; + + @OperateInfo(info = LogEnum.BUSINESS_COMMON,operateType = OperateType.ADD) + @PostMapping("/insertData") + @ApiOperation("存储清洗的异常数据") + public HttpResult> insertData(@RequestBody List list) { + String methodDescribe = getMethodDescribe("insertData"); + pqDataVerifyService.insertData(list); + return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, null, methodDescribe); + } + + @OperateInfo(info = LogEnum.BUSINESS_COMMON,operateType = OperateType.QUERY) + @PostMapping("/queryData") + @ApiOperation("查询清洗的异常数据") + public HttpResult> queryData(@RequestBody LineCountEvaluateParam param) { + String methodDescribe = getMethodDescribe("queryData"); + List list = pqDataVerifyService.queryData(param); + return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, list, methodDescribe); + } + +} + diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/PqReasonableRangeController.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/PqReasonableRangeController.java new file mode 100644 index 0000000..d819545 --- /dev/null +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/PqReasonableRangeController.java @@ -0,0 +1,56 @@ +package com.njcn.dataProcess.controller; + + +import com.njcn.common.pojo.annotation.OperateInfo; +import com.njcn.common.pojo.constant.OperateType; +import com.njcn.common.pojo.enums.common.LogEnum; +import com.njcn.common.pojo.enums.response.CommonResponseEnum; +import com.njcn.common.pojo.response.HttpResult; +import com.njcn.common.utils.HttpResultUtil; +import com.njcn.dataProcess.param.DataCleanParam; +import com.njcn.dataProcess.pojo.dto.PqReasonableRangeDto; +import com.njcn.dataProcess.service.IPqReasonableRangeService; +import com.njcn.web.controller.BaseController; +import io.swagger.annotations.Api; +import io.swagger.annotations.ApiOperation; +import lombok.extern.slf4j.Slf4j; +import org.springframework.stereotype.Controller; +import org.springframework.validation.annotation.Validated; +import org.springframework.web.bind.annotation.PostMapping; +import org.springframework.web.bind.annotation.RequestBody; +import org.springframework.web.bind.annotation.RequestMapping; +import org.springframework.web.bind.annotation.RestController; + +import javax.annotation.Resource; +import java.util.List; + +/** + *

+ * 前端控制器 + *

+ * + * @author xy + * @since 2025-02-13 + */ +@Validated +@Slf4j +@Controller +@RestController +@RequestMapping("/pqReasonableRange") +@Api(tags = "数据清洗标准库") +public class PqReasonableRangeController extends BaseController { + + @Resource + private IPqReasonableRangeService pqReasonableRangeService; + + @OperateInfo(info = LogEnum.BUSINESS_COMMON,operateType = OperateType.QUERY) + @PostMapping("/getData") + @ApiOperation("按条件获取数据合理范围") + public HttpResult> getData(@RequestBody DataCleanParam param) { + String methodDescribe = getMethodDescribe("getData"); + List list = pqReasonableRangeService.getReasonableRangeList(param); + return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, list, methodDescribe); + } + +} + diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/imapper/DataHarmRateVMapper.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/imapper/DataHarmRateVMapper.java new file mode 100644 index 0000000..63303ad --- /dev/null +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/imapper/DataHarmRateVMapper.java @@ -0,0 +1,14 @@ +package com.njcn.dataProcess.dao.imapper; + +import com.njcn.dataProcess.po.influx.DataHarmrateV; +import com.njcn.influx.base.InfluxDbBaseMapper; + + +/** + * @author xy + */ +public interface DataHarmRateVMapper extends InfluxDbBaseMapper { + + + +} diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/PqDataVerifyMapper.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/PqDataVerifyMapper.java new file mode 100644 index 0000000..7a9f11d --- /dev/null +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/PqDataVerifyMapper.java @@ -0,0 +1,16 @@ +package com.njcn.dataProcess.dao.relation.mapper; + +import com.github.jeffreyning.mybatisplus.base.MppBaseMapper; +import com.njcn.dataProcess.pojo.po.PqDataVerify; + +/** + *

+ * Mapper 接口 + *

+ * + * @author xy + * @since 2025-02-17 + */ +public interface PqDataVerifyMapper extends MppBaseMapper { + +} diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/PqReasonableRangeMapper.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/PqReasonableRangeMapper.java new file mode 100644 index 0000000..036e7a8 --- /dev/null +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/PqReasonableRangeMapper.java @@ -0,0 +1,18 @@ +package com.njcn.dataProcess.dao.relation.mapper; + +import com.baomidou.mybatisplus.core.mapper.BaseMapper; +import com.njcn.dataProcess.pojo.dto.PqReasonableRangeDto; +import com.njcn.dataProcess.pojo.po.PqReasonableRange; + +import java.util.List; + +/** + *

+ * Mapper 接口 + *

+ * + * @author xy + * @since 2025-02-13 + */ +public interface PqReasonableRangeMapper extends BaseMapper { +} diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataFlickerRelationMapper.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataFlickerRelationMapper.java new file mode 100644 index 0000000..c5ec44e --- /dev/null +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataFlickerRelationMapper.java @@ -0,0 +1,16 @@ +package com.njcn.dataProcess.dao.relation.mapper; + +import com.github.jeffreyning.mybatisplus.base.MppBaseMapper; +import com.njcn.dataProcess.pojo.po.RStatDataFlickerD; + + +/** + *

+ * Mapper 接口 + *

+ */ +public interface RStatDataFlickerRelationMapper extends MppBaseMapper { + + + +} diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataFlucRelationMapper.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataFlucRelationMapper.java new file mode 100644 index 0000000..546b8ba --- /dev/null +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataFlucRelationMapper.java @@ -0,0 +1,16 @@ +package com.njcn.dataProcess.dao.relation.mapper; + +import com.github.jeffreyning.mybatisplus.base.MppBaseMapper; +import com.njcn.dataProcess.pojo.po.RStatDataFlucD; + + +/** + *

+ * Mapper 接口 + *

+ */ +public interface RStatDataFlucRelationMapper extends MppBaseMapper { + + + +} diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataHarmPhasicIRelationMapper.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataHarmPhasicIRelationMapper.java new file mode 100644 index 0000000..af7e002 --- /dev/null +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataHarmPhasicIRelationMapper.java @@ -0,0 +1,16 @@ +package com.njcn.dataProcess.dao.relation.mapper; + +import com.github.jeffreyning.mybatisplus.base.MppBaseMapper; +import com.njcn.dataProcess.pojo.po.RStatDataHarmPhasicID; + + +/** + *

+ * Mapper 接口 + *

+ */ +public interface RStatDataHarmPhasicIRelationMapper extends MppBaseMapper { + + + +} diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataHarmPhasicVRelationMapper.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataHarmPhasicVRelationMapper.java new file mode 100644 index 0000000..fffe656 --- /dev/null +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataHarmPhasicVRelationMapper.java @@ -0,0 +1,16 @@ +package com.njcn.dataProcess.dao.relation.mapper; + +import com.github.jeffreyning.mybatisplus.base.MppBaseMapper; +import com.njcn.dataProcess.pojo.po.RStatDataHarmPhasicVD; + + +/** + *

+ * Mapper 接口 + *

+ */ +public interface RStatDataHarmPhasicVRelationMapper extends MppBaseMapper { + + + +} diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataHarmPowerPRelationMapper.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataHarmPowerPRelationMapper.java new file mode 100644 index 0000000..a22bd2b --- /dev/null +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataHarmPowerPRelationMapper.java @@ -0,0 +1,16 @@ +package com.njcn.dataProcess.dao.relation.mapper; + +import com.github.jeffreyning.mybatisplus.base.MppBaseMapper; +import com.njcn.dataProcess.pojo.po.RStatDataHarmPowerPD; + + +/** + *

+ * Mapper 接口 + *

+ */ +public interface RStatDataHarmPowerPRelationMapper extends MppBaseMapper { + + + +} diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataHarmPowerQRelationMapper.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataHarmPowerQRelationMapper.java new file mode 100644 index 0000000..608aae3 --- /dev/null +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataHarmPowerQRelationMapper.java @@ -0,0 +1,16 @@ +package com.njcn.dataProcess.dao.relation.mapper; + +import com.github.jeffreyning.mybatisplus.base.MppBaseMapper; +import com.njcn.dataProcess.pojo.po.RStatDataHarmPowerQD; + + +/** + *

+ * Mapper 接口 + *

+ */ +public interface RStatDataHarmPowerQRelationMapper extends MppBaseMapper { + + + +} diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataHarmPowerSRelationMapper.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataHarmPowerSRelationMapper.java new file mode 100644 index 0000000..2c73628 --- /dev/null +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataHarmPowerSRelationMapper.java @@ -0,0 +1,16 @@ +package com.njcn.dataProcess.dao.relation.mapper; + +import com.github.jeffreyning.mybatisplus.base.MppBaseMapper; +import com.njcn.dataProcess.pojo.po.RStatDataHarmPowerSD; + + +/** + *

+ * Mapper 接口 + *

+ */ +public interface RStatDataHarmPowerSRelationMapper extends MppBaseMapper { + + + +} diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataHarmRateIRelationMapper.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataHarmRateIRelationMapper.java new file mode 100644 index 0000000..950f7ba --- /dev/null +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataHarmRateIRelationMapper.java @@ -0,0 +1,16 @@ +package com.njcn.dataProcess.dao.relation.mapper; + +import com.github.jeffreyning.mybatisplus.base.MppBaseMapper; +import com.njcn.dataProcess.pojo.po.RStatDataHarmRateID; + + +/** + *

+ * Mapper 接口 + *

+ */ +public interface RStatDataHarmRateIRelationMapper extends MppBaseMapper { + + + +} diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataHarmRateVRelationMapper.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataHarmRateVRelationMapper.java new file mode 100644 index 0000000..c00d940 --- /dev/null +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataHarmRateVRelationMapper.java @@ -0,0 +1,16 @@ +package com.njcn.dataProcess.dao.relation.mapper; + +import com.github.jeffreyning.mybatisplus.base.MppBaseMapper; +import com.njcn.dataProcess.pojo.po.RStatDataHarmRateVD; + + +/** + *

+ * Mapper 接口 + *

+ */ +public interface RStatDataHarmRateVRelationMapper extends MppBaseMapper { + + + +} diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataIRelationMapper.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataIRelationMapper.java new file mode 100644 index 0000000..1cbf01f --- /dev/null +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataIRelationMapper.java @@ -0,0 +1,16 @@ +package com.njcn.dataProcess.dao.relation.mapper; + +import com.github.jeffreyning.mybatisplus.base.MppBaseMapper; +import com.njcn.dataProcess.pojo.po.RStatDataID; + + +/** + *

+ * Mapper 接口 + *

+ */ +public interface RStatDataIRelationMapper extends MppBaseMapper { + + + +} diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataInHarmIRelationMapper.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataInHarmIRelationMapper.java new file mode 100644 index 0000000..14f404a --- /dev/null +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataInHarmIRelationMapper.java @@ -0,0 +1,16 @@ +package com.njcn.dataProcess.dao.relation.mapper; + +import com.github.jeffreyning.mybatisplus.base.MppBaseMapper; +import com.njcn.dataProcess.pojo.po.RStatDataInHarmID; + + +/** + *

+ * Mapper 接口 + *

+ */ +public interface RStatDataInHarmIRelationMapper extends MppBaseMapper { + + + +} diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataInHarmVRelationMapper.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataInHarmVRelationMapper.java new file mode 100644 index 0000000..8daafe4 --- /dev/null +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataInHarmVRelationMapper.java @@ -0,0 +1,16 @@ +package com.njcn.dataProcess.dao.relation.mapper; + +import com.github.jeffreyning.mybatisplus.base.MppBaseMapper; +import com.njcn.dataProcess.pojo.po.RStatDataInHarmVD; + + +/** + *

+ * Mapper 接口 + *

+ */ +public interface RStatDataInHarmVRelationMapper extends MppBaseMapper { + + + +} diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataPltRelationMapper.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataPltRelationMapper.java new file mode 100644 index 0000000..2b72463 --- /dev/null +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataPltRelationMapper.java @@ -0,0 +1,16 @@ +package com.njcn.dataProcess.dao.relation.mapper; + +import com.github.jeffreyning.mybatisplus.base.MppBaseMapper; +import com.njcn.dataProcess.pojo.po.RStatDataPltD; + + +/** + *

+ * Mapper 接口 + *

+ */ +public interface RStatDataPltRelationMapper extends MppBaseMapper { + + + +} diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataFlicker.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataFlicker.java index 75fef96..798bbc6 100644 --- a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataFlicker.java +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataFlicker.java @@ -1,6 +1,11 @@ package com.njcn.dataProcess.service; +import com.github.jeffreyning.mybatisplus.service.IMppService; import com.njcn.dataProcess.dto.DataFlickerDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.pojo.dto.CommonMinuteDto; +import com.njcn.dataProcess.pojo.dto.DataFlickerDto; +import com.njcn.dataProcess.pojo.po.RStatDataFlickerD; import java.util.List; @@ -11,6 +16,24 @@ import java.util.List; * @author clam * @version V1.0.0 */ -public interface IDataFlicker { +public interface IDataFlicker extends IMppService { void batchInsertion(List dataIDTOList); + + /** + * 获取原始数据 + * @param lineParam + * @return + */ + List getRawData(LineCountEvaluateParam lineParam); + + /** + * 获取监测点原始数据 + * @param lineParam 监测点参数 + */ + List getBaseData(LineCountEvaluateParam lineParam); + + /** + * 批量插入数据 + */ + void addList(List dataIDtoList); } diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataFluc.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataFluc.java index 0dabc05..0d0021e 100644 --- a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataFluc.java +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataFluc.java @@ -1,6 +1,11 @@ package com.njcn.dataProcess.service; +import com.github.jeffreyning.mybatisplus.service.IMppService; import com.njcn.dataProcess.dto.DataFlucDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.pojo.dto.CommonMinuteDto; +import com.njcn.dataProcess.pojo.dto.DataFlucDto; +import com.njcn.dataProcess.pojo.po.RStatDataFlucD; import java.util.List; @@ -11,6 +16,24 @@ import java.util.List; * @author clam * @version V1.0.0 */ -public interface IDataFluc { +public interface IDataFluc extends IMppService { void batchInsertion(List dataIDTOList); + + /** + * 获取原始数据 + * @param lineParam + * @return + */ + List getRawData(LineCountEvaluateParam lineParam); + + /** + * 获取监测点原始数据 + * @param lineParam 监测点参数 + */ + List getBaseData(LineCountEvaluateParam lineParam); + + /** + * 批量插入数据 + */ + void addList(List dataFlucDtoList); } diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataHarmRateV.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataHarmRateV.java new file mode 100644 index 0000000..8157190 --- /dev/null +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataHarmRateV.java @@ -0,0 +1,19 @@ +package com.njcn.dataProcess.service; + +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.pojo.dto.DataHarmDto; + +import java.util.List; + +/** + * @author xy + */ +public interface IDataHarmRateV { + + /** + * 获取原始数据 + * @param lineParam + * @return + */ + List getRawData(LineCountEvaluateParam lineParam); +} diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataHarmphasicI.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataHarmphasicI.java index 0837b0f..508698e 100644 --- a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataHarmphasicI.java +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataHarmphasicI.java @@ -1,6 +1,11 @@ package com.njcn.dataProcess.service; +import com.github.jeffreyning.mybatisplus.service.IMppService; import com.njcn.dataProcess.dto.DataHarmphasicIDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.pojo.dto.CommonMinuteDto; +import com.njcn.dataProcess.pojo.dto.DataHarmPhasicIDto; +import com.njcn.dataProcess.pojo.po.RStatDataHarmPhasicID; import java.util.List; @@ -11,6 +16,17 @@ import java.util.List; * @author clam * @version V1.0.0 */ -public interface IDataHarmphasicI { +public interface IDataHarmphasicI extends IMppService { void batchInsertion(List dataIDTOList); + + /** + * 获取监测点原始数据 + * @param lineParam 监测点参数 + */ + List getBaseData(LineCountEvaluateParam lineParam); + + /** + * 批量插入数据 + */ + void addList(List list); } diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataHarmphasicV.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataHarmphasicV.java index 3cf38ab..6409197 100644 --- a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataHarmphasicV.java +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataHarmphasicV.java @@ -1,6 +1,12 @@ package com.njcn.dataProcess.service; +import com.github.jeffreyning.mybatisplus.service.IMppService; import com.njcn.dataProcess.dto.DataHarmphasicVDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.pojo.dto.CommonMinuteDto; +import com.njcn.dataProcess.pojo.dto.DataHarmDto; +import com.njcn.dataProcess.pojo.dto.DataHarmPhasicVDto; +import com.njcn.dataProcess.pojo.po.RStatDataHarmPhasicVD; import java.util.List; @@ -11,6 +17,24 @@ import java.util.List; * @author clam * @version V1.0.0 */ -public interface IDataHarmphasicV { +public interface IDataHarmphasicV extends IMppService { void batchInsertion(List dataIDTOList); + + /** + * 获取原始数据 + * @param lineParam + * @return + */ + List getRawData(LineCountEvaluateParam lineParam); + + /** + * 获取预处理数据 + * @param lineParam 监测点参数 + */ + List getBaseData(LineCountEvaluateParam lineParam); + + /** + * 批量插入数据 + */ + void addList(List list); } diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataHarmpowerP.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataHarmpowerP.java index fd13be0..60b2489 100644 --- a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataHarmpowerP.java +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataHarmpowerP.java @@ -1,6 +1,12 @@ package com.njcn.dataProcess.service; +import com.github.jeffreyning.mybatisplus.service.IMppService; import com.njcn.dataProcess.dto.DataHarmpowerPDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.pojo.dto.CommonMinuteDto; +import com.njcn.dataProcess.pojo.dto.DataHarmPowerPDto; +import com.njcn.dataProcess.pojo.dto.DataPowerPDto; +import com.njcn.dataProcess.pojo.po.RStatDataHarmPowerPD; import java.util.List; @@ -11,6 +17,24 @@ import java.util.List; * @author clam * @version V1.0.0 */ -public interface IDataHarmpowerP { +public interface IDataHarmpowerP extends IMppService { void batchInsertion(List dataIDTOList); + + /** + * 获取原始数据 + * @param lineParam + * @return + */ + List getRawData(LineCountEvaluateParam lineParam); + + /** + * 获取预处理数据 + * @param lineParam 监测点参数 + */ + List getBaseData(LineCountEvaluateParam lineParam); + + /** + * 批量插入数据 + */ + void addList(List list); } diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataHarmpowerQ.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataHarmpowerQ.java index 218357a..5b3b115 100644 --- a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataHarmpowerQ.java +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataHarmpowerQ.java @@ -1,6 +1,11 @@ package com.njcn.dataProcess.service; +import com.github.jeffreyning.mybatisplus.service.IMppService; import com.njcn.dataProcess.dto.DataHarmpowerQDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.pojo.dto.CommonMinuteDto; +import com.njcn.dataProcess.pojo.dto.DataHarmPowerQDto; +import com.njcn.dataProcess.pojo.po.RStatDataHarmPowerQD; import java.util.List; @@ -11,6 +16,17 @@ import java.util.List; * @author clam * @version V1.0.0 */ -public interface IDataHarmpowerQ { +public interface IDataHarmpowerQ extends IMppService { void batchInsertion(List dataIDTOList); + + /** + * 获取预处理数据 + * @param lineParam 监测点参数 + */ + List getBaseData(LineCountEvaluateParam lineParam); + + /** + * 批量插入数据 + */ + void addList(List list); } diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataI.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataI.java index 03939b7..2f36331 100644 --- a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataI.java +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataI.java @@ -1,6 +1,12 @@ package com.njcn.dataProcess.service; +import com.github.jeffreyning.mybatisplus.service.IMppService; import com.njcn.dataProcess.dto.DataIDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.pojo.dto.CommonMinuteDto; +import com.njcn.dataProcess.pojo.dto.DataIDto; +import com.njcn.dataProcess.pojo.po.RStatDataID; +import com.njcn.dataProcess.pojo.po.RStatDataVD; import java.util.List; @@ -11,6 +17,25 @@ import java.util.List; * @author clam * @version V1.0.0 */ -public interface IDataI { +public interface IDataI extends IMppService { + void batchInsertion(List dataIDTOList); + + /** + * 获取原始数据 + * @param lineParam + * @return + */ + List getRawData(LineCountEvaluateParam lineParam); + + /** + * 获取监测点原始数据 + * @param lineParam 监测点参数 + */ + List getBaseData(LineCountEvaluateParam lineParam); + + /** + * 批量插入数据 + */ + void addList(List dataIDtoList); } diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataInharmV.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataInharmV.java index e082bee..190559b 100644 --- a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataInharmV.java +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataInharmV.java @@ -1,6 +1,8 @@ package com.njcn.dataProcess.service; import com.njcn.dataProcess.dto.DataInharmVDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.pojo.dto.DataHarmDto; import java.util.List; @@ -14,4 +16,11 @@ import java.util.List; public interface IDataInharmV { void batchInsertion(List dataIDTOList); + + /** + * 获取原始数据 + * @param lineParam + * @return + */ + List getRawData(LineCountEvaluateParam lineParam); } diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataPlt.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataPlt.java index 0bd1cc8..eb64703 100644 --- a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataPlt.java +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataPlt.java @@ -1,6 +1,9 @@ package com.njcn.dataProcess.service; import com.njcn.dataProcess.dto.DataPltDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.pojo.dto.DataIDto; +import com.njcn.dataProcess.pojo.dto.DataPltDto; import java.util.List; @@ -13,4 +16,11 @@ import java.util.List; */ public interface IDataPlt { void batchInsertion(List dataPltDTOList); + + /** + * 获取原始数据 + * @param lineParam + * @return + */ + List getRawData(LineCountEvaluateParam lineParam); } diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataV.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataV.java index 577ca49..be1f5c9 100644 --- a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataV.java +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataV.java @@ -4,7 +4,6 @@ import com.github.jeffreyning.mybatisplus.service.IMppService; import com.njcn.dataProcess.dto.DataVDTO; import com.njcn.dataProcess.dto.DataVFiveItemDTO; import com.njcn.dataProcess.param.LineCountEvaluateParam; -import com.njcn.dataProcess.po.influx.DataV; import com.njcn.dataProcess.pojo.dto.CommonMinuteDto; import com.njcn.dataProcess.pojo.dto.DataVDto; import com.njcn.dataProcess.pojo.po.RStatDataVD; diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IPqDataVerifyService.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IPqDataVerifyService.java new file mode 100644 index 0000000..3dc1a9f --- /dev/null +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IPqDataVerifyService.java @@ -0,0 +1,30 @@ +package com.njcn.dataProcess.service; + +import com.github.jeffreyning.mybatisplus.service.IMppService; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.pojo.po.PqDataVerify; + +import java.util.List; + +/** + *

+ * 服务类 + *

+ * + * @author xy + * @since 2025-02-17 + */ +public interface IPqDataVerifyService extends IMppService { + + /** + * 异常数据插入 + * @param list + */ + void insertData(List list); + + /** + * 异常数据查询 + * @param param + */ + List queryData(LineCountEvaluateParam param); +} diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IPqReasonableRangeService.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IPqReasonableRangeService.java new file mode 100644 index 0000000..502a118 --- /dev/null +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IPqReasonableRangeService.java @@ -0,0 +1,27 @@ +package com.njcn.dataProcess.service; + +import com.baomidou.mybatisplus.extension.service.IService; +import com.njcn.dataProcess.param.DataCleanParam; +import com.njcn.dataProcess.pojo.dto.PqReasonableRangeDto; +import com.njcn.dataProcess.pojo.po.PqReasonableRange; + +import java.util.List; + +/** + *

+ * 服务类 + *

+ * + * @author xy + * @since 2025-02-13 + */ +public interface IPqReasonableRangeService extends IService { + + /** + * 根据条件获取稳态指标正常范围数据 + * @param param + * @return + */ + List getReasonableRangeList(DataCleanParam param); + +} diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataFlickerImpl.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataFlickerImpl.java index 9ec7402..e426b3d 100644 --- a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataFlickerImpl.java +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataFlickerImpl.java @@ -1,15 +1,29 @@ package com.njcn.dataProcess.service.impl.influxdb; -import com.njcn.dataProcess.dto.DataFlickerDTO; +import cn.hutool.core.collection.CollectionUtil; +import com.github.jeffreyning.mybatisplus.service.MppServiceImpl; import com.njcn.dataProcess.dao.imapper.DataFlickerMapper; +import com.njcn.dataProcess.dao.relation.mapper.RStatDataFlickerRelationMapper; +import com.njcn.dataProcess.dto.DataFlickerDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; import com.njcn.dataProcess.po.influx.DataFlicker; +import com.njcn.dataProcess.pojo.dto.CommonMinuteDto; +import com.njcn.dataProcess.pojo.dto.DataFlickerDto; +import com.njcn.dataProcess.pojo.po.RStatDataFlickerD; import com.njcn.dataProcess.service.IDataFlicker; +import com.njcn.dataProcess.util.TimeUtils; +import com.njcn.influx.query.InfluxQueryWrapper; import lombok.RequiredArgsConstructor; import org.apache.commons.collections4.ListUtils; +import org.springframework.beans.BeanUtils; import org.springframework.stereotype.Service; +import java.time.ZoneId; +import java.time.format.DateTimeFormatter; import java.util.ArrayList; +import java.util.Arrays; import java.util.List; +import java.util.Map; import java.util.stream.Collectors; /** @@ -21,7 +35,9 @@ import java.util.stream.Collectors; */ @Service("InfluxdbDataFlickerImpl") @RequiredArgsConstructor -public class InfluxdbDataFlickerImpl implements IDataFlicker { +public class InfluxdbDataFlickerImpl extends MppServiceImpl implements IDataFlicker { + + private final DateTimeFormatter DATE_TIME_FORMATTER = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss").withZone(ZoneId.systemDefault()); private final DataFlickerMapper dataFlickerMapper; @@ -44,4 +60,117 @@ public class InfluxdbDataFlickerImpl implements IDataFlicker { } } + + @Override + public List getRawData(LineCountEvaluateParam lineParam) { + List result = new ArrayList<>(); + List list = getMinuteData(lineParam.getLineId(), lineParam.getStartTime(), lineParam.getEndTime(), lineParam.getAbnormalTime()); + list.forEach(item->{ + DataFlickerDto dto = new DataFlickerDto(); + BeanUtils.copyProperties(item,dto); + dto.setMinTime(DATE_TIME_FORMATTER.format(item.getTime())); + result.add(dto); + }); + return result; + } + + @Override + public List getBaseData(LineCountEvaluateParam lineParam) { + List result = new ArrayList<>(); + List dataIList = getMinuteData(lineParam.getLineId(), lineParam.getStartTime(), lineParam.getEndTime(),lineParam.getAbnormalTime()); + if (CollectionUtil.isNotEmpty(dataIList)) { + String time = TimeUtils.StringTimeToString(lineParam.getStartTime()); + //以监测点分组 + Map> lineMap = dataIList.stream().collect(Collectors.groupingBy(DataFlicker::getLineId)); + lineMap.forEach((line,lineList)->{ + CommonMinuteDto dto = new CommonMinuteDto(); + dto.setLineId(line); + dto.setTime(time); + dto.setQualityFlag(lineList.get(0).getQualityFlag()); + //以相别分组 + Map> phasicTypeMap = lineList.stream().collect(Collectors.groupingBy(DataFlicker::getPhasicType)); + List phasicTypes = new ArrayList<>(); + phasicTypeMap.forEach((phasicType,phasicTypeList)->{ + CommonMinuteDto.PhasicType type = new CommonMinuteDto.PhasicType(); + type.setPhasicType(phasicType); + + List valueTypes = new ArrayList<>(); + CommonMinuteDto.ValueType value = new CommonMinuteDto.ValueType(); + value.setValueType(null); + + //规定好集合指标参数 + List data1 = phasicTypeList.stream().map(DataFlicker::getFluc).collect(Collectors.toList()); + List data2 = phasicTypeList.stream().map(DataFlicker::getPlt).collect(Collectors.toList()); + List data3 = phasicTypeList.stream().map(DataFlicker::getPst).collect(Collectors.toList()); + + List> lists = Arrays.asList(data1,data2,data3); + value.setValueList(lists); + valueTypes.add(value); + + type.setValueTypeList(valueTypes); + phasicTypes.add(type); + }); + dto.setPhasicTypeList(phasicTypes); + result.add(dto); + }); + } + return result; + } + + @Override + public void addList(List dataIDtoList) { + + } + + /** + * 按监测点集合、时间条件获取分钟数据 + * timeMap参数来判断是否进行数据处理 timeMap为空则不进行数据处理 + * 需要进行剔除异常数据时,这里会有三种情况判断 + * 1.无异常数据，则直接返回集合； + * 2.异常数据和无异常数据参杂，剔除异常数据，只计算正常数据； + * 3.全是异常数据，则使用异常数据进行计算，但是日表中需要标记出来，此数据有异常 + */ + public List getMinuteData(List lineList, String startTime, String endTime, Map> timeMap) { + List result = new ArrayList<>(); + InfluxQueryWrapper influxQueryWrapper = new InfluxQueryWrapper(DataFlicker.class); + influxQueryWrapper.regular(DataFlicker::getLineId, lineList) + .select(DataFlicker::getLineId) + .select(DataFlicker::getPhasicType) + .select(DataFlicker::getFluc) + .select(DataFlicker::getPst) + .select(DataFlicker::getPlt) + .select(DataFlicker::getQualityFlag) + .between(DataFlicker::getTime, startTime, endTime) + .eq(DataFlicker::getQualityFlag,"0"); + List list = dataFlickerMapper.selectByQueryWrapper(influxQueryWrapper); + Map> lineMap = list.stream().collect(Collectors.groupingBy(DataFlicker::getLineId)); + //有异常数据 + if (CollectionUtil.isNotEmpty(timeMap)) { + lineMap.forEach((k,v)->{ + List timeList = timeMap.get(k); + //有异常数据,当前监测点自身的异常数据 + if (CollectionUtil.isNotEmpty(timeList)) { + List filterList = v.stream().filter(item -> !timeList.contains(DATE_TIME_FORMATTER.format(item.getTime()))).collect(Collectors.toList()); + //1.过滤掉异常数据后还有正常数据，则用正常数据计算 + if (CollectionUtil.isNotEmpty(filterList)) { + result.addAll(filterList); + } + //2.过滤掉异常数据后没有正常数据，则用所有异常数据计算，但是需要标记数据为异常的 + else { + v.parallelStream().forEach(item -> item.setQualityFlag("1")); + result.addAll(v); + } + } + //没有异常数据，则使用原数据 + else { + result.addAll(v); + } + }); + } + //没有异常数据，则使用原数据 + else { + result.addAll(list); + } + return result; + } } diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataFlucImpl.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataFlucImpl.java index e973581..fb4aa0e 100644 --- a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataFlucImpl.java +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataFlucImpl.java @@ -1,15 +1,29 @@ package com.njcn.dataProcess.service.impl.influxdb; -import com.njcn.dataProcess.dto.DataFlucDTO; +import cn.hutool.core.collection.CollectionUtil; +import com.github.jeffreyning.mybatisplus.service.MppServiceImpl; import com.njcn.dataProcess.dao.imapper.DataFlucMapper; +import com.njcn.dataProcess.dao.relation.mapper.RStatDataFlucRelationMapper; +import com.njcn.dataProcess.dto.DataFlucDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; import com.njcn.dataProcess.po.influx.DataFluc; +import com.njcn.dataProcess.pojo.dto.CommonMinuteDto; +import com.njcn.dataProcess.pojo.dto.DataFlucDto; +import com.njcn.dataProcess.pojo.po.RStatDataFlucD; import com.njcn.dataProcess.service.IDataFluc; +import com.njcn.dataProcess.util.TimeUtils; +import com.njcn.influx.query.InfluxQueryWrapper; import lombok.RequiredArgsConstructor; import org.apache.commons.collections4.ListUtils; +import org.springframework.beans.BeanUtils; import org.springframework.stereotype.Service; +import java.time.ZoneId; +import java.time.format.DateTimeFormatter; import java.util.ArrayList; +import java.util.Arrays; import java.util.List; +import java.util.Map; import java.util.stream.Collectors; /** @@ -21,7 +35,9 @@ import java.util.stream.Collectors; */ @Service("InfluxdbDataFlucImpl") @RequiredArgsConstructor -public class InfluxdbDataFlucImpl implements IDataFluc { +public class InfluxdbDataFlucImpl extends MppServiceImpl implements IDataFluc { + + private final DateTimeFormatter DATE_TIME_FORMATTER = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss").withZone(ZoneId.systemDefault()); private final DataFlucMapper dataFlucMapper; @@ -44,4 +60,115 @@ public class InfluxdbDataFlucImpl implements IDataFluc { } } + + @Override + public List getRawData(LineCountEvaluateParam lineParam) { + List result = new ArrayList<>(); + List list = getMinuteData(lineParam.getLineId(), lineParam.getStartTime(), lineParam.getEndTime(), lineParam.getAbnormalTime()); + list.forEach(item->{ + DataFlucDto dto = new DataFlucDto(); + BeanUtils.copyProperties(item,dto); + dto.setMinTime(DATE_TIME_FORMATTER.format(item.getTime())); + result.add(dto); + }); + return result; + } + + @Override + public List getBaseData(LineCountEvaluateParam lineParam) { + List result = new ArrayList<>(); + List dataIList = getMinuteData(lineParam.getLineId(), lineParam.getStartTime(), lineParam.getEndTime(),lineParam.getAbnormalTime()); + if (CollectionUtil.isNotEmpty(dataIList)) { + String time = TimeUtils.StringTimeToString(lineParam.getStartTime()); + //以监测点分组 + Map> lineMap = dataIList.stream().collect(Collectors.groupingBy(DataFluc::getLineId)); + lineMap.forEach((line,lineList)->{ + CommonMinuteDto dto = new CommonMinuteDto(); + dto.setLineId(line); + dto.setTime(time); + dto.setQualityFlag(lineList.get(0).getQualityFlag()); + //以相别分组 + Map> phasicTypeMap = lineList.stream().collect(Collectors.groupingBy(DataFluc::getPhasicType)); + List phasicTypes = new ArrayList<>(); + phasicTypeMap.forEach((phasicType,phasicTypeList)->{ + CommonMinuteDto.PhasicType type = new CommonMinuteDto.PhasicType(); + type.setPhasicType(phasicType); + + List valueTypes = new ArrayList<>(); + CommonMinuteDto.ValueType value = new CommonMinuteDto.ValueType(); + value.setValueType(null); + + //规定好集合指标参数 + List data1 = phasicTypeList.stream().map(DataFluc::getFluc).collect(Collectors.toList()); + List data2 = phasicTypeList.stream().map(DataFluc::getFluccf).collect(Collectors.toList()); + + List> lists = Arrays.asList(data1,data2); + value.setValueList(lists); + valueTypes.add(value); + + type.setValueTypeList(valueTypes); + phasicTypes.add(type); + }); + dto.setPhasicTypeList(phasicTypes); + result.add(dto); + }); + } + return result; + } + + @Override + public void addList(List dataFlucDtoList) { + + } + + /** + * 按监测点集合、时间条件获取分钟数据 + * timeMap参数来判断是否进行数据处理 timeMap为空则不进行数据处理 + * 需要进行剔除异常数据时,这里会有三种情况判断 + * 1.无异常数据，则直接返回集合； + * 2.异常数据和无异常数据参杂，剔除异常数据，只计算正常数据； + * 3.全是异常数据，则使用异常数据进行计算，但是日表中需要标记出来，此数据有异常 + */ + public List getMinuteData(List lineList, String startTime, String endTime, Map> timeMap) { + List result = new ArrayList<>(); + InfluxQueryWrapper influxQueryWrapper = new InfluxQueryWrapper(DataFluc.class); + influxQueryWrapper.regular(DataFluc::getLineId, lineList) + .select(DataFluc::getLineId) + .select(DataFluc::getPhasicType) + .select(DataFluc::getFluc) + .select(DataFluc::getFluccf) + .select(DataFluc::getQualityFlag) + .between(DataFluc::getTime, startTime, endTime) + .eq(DataFluc::getQualityFlag,"0"); + List list = dataFlucMapper.selectByQueryWrapper(influxQueryWrapper); + Map> lineMap = list.stream().collect(Collectors.groupingBy(DataFluc::getLineId)); + //有异常数据 + if (CollectionUtil.isNotEmpty(timeMap)) { + lineMap.forEach((k,v)->{ + List timeList = timeMap.get(k); + //有异常数据,当前监测点自身的异常数据 + if (CollectionUtil.isNotEmpty(timeList)) { + List filterList = v.stream().filter(item -> !timeList.contains(DATE_TIME_FORMATTER.format(item.getTime()))).collect(Collectors.toList()); + //1.过滤掉异常数据后还有正常数据，则用正常数据计算 + if (CollectionUtil.isNotEmpty(filterList)) { + result.addAll(filterList); + } + //2.过滤掉异常数据后没有正常数据，则用所有异常数据计算，但是需要标记数据为异常的 + else { + v.parallelStream().forEach(item -> item.setQualityFlag("1")); + result.addAll(v); + } + } + //没有异常数据，则使用原数据 + else { + result.addAll(v); + } + }); + } + //没有异常数据，则使用原数据 + else { + result.addAll(list); + } + return result; + } } diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataHarmRateVImpl.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataHarmRateVImpl.java new file mode 100644 index 0000000..95c0608 --- /dev/null +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataHarmRateVImpl.java @@ -0,0 +1,98 @@ +package com.njcn.dataProcess.service.impl.influxdb; + +import cn.hutool.core.collection.CollectionUtil; +import com.njcn.common.utils.HarmonicTimesUtil; +import com.njcn.dataProcess.dao.imapper.DataHarmRateVMapper; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.po.influx.DataHarmrateV; +import com.njcn.dataProcess.pojo.dto.DataHarmDto; +import com.njcn.dataProcess.service.IDataHarmRateV; +import com.njcn.influx.constant.InfluxDbSqlConstant; +import com.njcn.influx.query.InfluxQueryWrapper; +import lombok.RequiredArgsConstructor; +import org.springframework.beans.BeanUtils; +import org.springframework.stereotype.Service; + +import java.time.ZoneId; +import java.time.format.DateTimeFormatter; +import java.util.ArrayList; +import java.util.List; +import java.util.Map; +import java.util.stream.Collectors; + +/** + * @author xy + */ +@Service("InfluxdbDataHarmRateVImpl") +@RequiredArgsConstructor +public class InfluxdbDataHarmRateVImpl implements IDataHarmRateV { + + private final DateTimeFormatter DATE_TIME_FORMATTER = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss").withZone(ZoneId.systemDefault()); + + private final DataHarmRateVMapper dataHarmRateVMapper; + + @Override + public List getRawData(LineCountEvaluateParam lineParam) { + List result = new ArrayList<>(); + List list = getMinuteDataI(lineParam.getLineId(), lineParam.getStartTime(), lineParam.getEndTime(), lineParam.getAbnormalTime()); + list.forEach(item->{ + DataHarmDto dto = new DataHarmDto(); + BeanUtils.copyProperties(item,dto); + dto.setMinTime(DATE_TIME_FORMATTER.format(item.getTime())); + result.add(dto); + }); + return result; + } + + /** + * 按监测点集合、时间条件获取dataI分钟数据 + * timeMap参数来判断是否进行数据处理 timeMap为空则不进行数据处理 + * 需要进行剔除异常数据时,这里会有三种情况判断 + * 1.无异常数据，则直接返回集合； + * 2.异常数据和无异常数据参杂，剔除异常数据，只计算正常数据； + * 3.全是异常数据，则使用异常数据进行计算，但是日表中需要标记出来，此数据有异常 + */ + public List getMinuteDataI(List lineList, String startTime, String endTime, Map> timeMap) { + List result = new ArrayList<>(); + InfluxQueryWrapper influxQueryWrapper = new InfluxQueryWrapper(DataHarmrateV.class); + influxQueryWrapper.samePrefixAndSuffix(InfluxDbSqlConstant.V, "", HarmonicTimesUtil.harmonicTimesList(2, 50, 1)); + influxQueryWrapper.regular(DataHarmrateV::getLineId, lineList) + .select(DataHarmrateV::getLineId) + .select(DataHarmrateV::getPhasicType) + .select(DataHarmrateV::getValueType) + .select(DataHarmrateV::getQualityFlag) + .between(DataHarmrateV::getTime, startTime, endTime) + .eq(DataHarmrateV::getQualityFlag,"0"); + List list = dataHarmRateVMapper.selectByQueryWrapper(influxQueryWrapper); + Map> lineMap = list.stream().collect(Collectors.groupingBy(DataHarmrateV::getLineId)); + //有异常数据 + if (CollectionUtil.isNotEmpty(timeMap)) { + lineMap.forEach((k,v)->{ + List timeList = timeMap.get(k); + //有异常数据,当前监测点自身的异常数据 + if (CollectionUtil.isNotEmpty(timeList)) { + List filterList = v.stream().filter(item -> !timeList.contains(DATE_TIME_FORMATTER.format(item.getTime()))).collect(Collectors.toList()); + //1.过滤掉异常数据后还有正常数据，则用正常数据计算 + if (CollectionUtil.isNotEmpty(filterList)) { + result.addAll(filterList); + } + //2.过滤掉异常数据后没有正常数据，则用所有异常数据计算，但是需要标记数据为异常的 + else { + v.parallelStream().forEach(item -> item.setQualityFlag("1")); + result.addAll(v); + } + } + //没有异常数据，则使用原数据 + else { + result.addAll(v); + } + }); + } + //没有异常数据，则使用原数据 + else { + result.addAll(list); + } + return result; + } + +} diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataHarmphasicIImpl.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataHarmphasicIImpl.java index 2f07734..7b36c65 100644 --- a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataHarmphasicIImpl.java +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataHarmphasicIImpl.java @@ -1,15 +1,30 @@ package com.njcn.dataProcess.service.impl.influxdb; -import com.njcn.dataProcess.dto.DataHarmphasicIDTO; +import cn.hutool.core.collection.CollectionUtil; +import com.github.jeffreyning.mybatisplus.service.MppServiceImpl; +import com.njcn.common.utils.HarmonicTimesUtil; import com.njcn.dataProcess.dao.imapper.DataHarmphasicIMapper; +import com.njcn.dataProcess.dao.relation.mapper.RStatDataHarmPhasicIRelationMapper; +import com.njcn.dataProcess.dto.DataHarmphasicIDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; import com.njcn.dataProcess.po.influx.DataHarmphasicI; +import com.njcn.dataProcess.pojo.dto.CommonMinuteDto; +import com.njcn.dataProcess.pojo.dto.DataHarmPhasicIDto; +import com.njcn.dataProcess.pojo.po.RStatDataHarmPhasicID; import com.njcn.dataProcess.service.IDataHarmphasicI; +import com.njcn.dataProcess.util.TimeUtils; +import com.njcn.influx.constant.InfluxDbSqlConstant; +import com.njcn.influx.query.InfluxQueryWrapper; import lombok.RequiredArgsConstructor; import org.apache.commons.collections4.ListUtils; import org.springframework.stereotype.Service; +import java.time.ZoneId; +import java.time.format.DateTimeFormatter; import java.util.ArrayList; +import java.util.Arrays; import java.util.List; +import java.util.Map; import java.util.stream.Collectors; /** @@ -21,11 +36,11 @@ import java.util.stream.Collectors; */ @Service("InfluxdbDataHarmphasicIImpl") @RequiredArgsConstructor -public class InfluxdbDataHarmphasicIImpl implements IDataHarmphasicI { +public class InfluxdbDataHarmphasicIImpl extends MppServiceImpl implements IDataHarmphasicI { + private final DateTimeFormatter DATE_TIME_FORMATTER = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss").withZone(ZoneId.systemDefault()); private final DataHarmphasicIMapper dataHarmphasicIMapper; - @Override public void batchInsertion(List dataHarmphasicIDTOList) { int totalCount = dataHarmphasicIDTOList.size(); @@ -44,4 +59,156 @@ public class InfluxdbDataHarmphasicIImpl implements IDataHarmphasicI { } } + + @Override + public List getBaseData(LineCountEvaluateParam lineParam) { + List result = new ArrayList<>(); + List data = getMinuteData(lineParam.getLineId(), lineParam.getStartTime(), lineParam.getEndTime(),lineParam.getAbnormalTime()); + if (CollectionUtil.isNotEmpty(data)) { + String time = TimeUtils.StringTimeToString(lineParam.getStartTime()); + //以监测点分组 + Map> lineMap = data.stream().collect(Collectors.groupingBy(DataHarmphasicI::getLineId)); + lineMap.forEach((line,lineList)->{ + CommonMinuteDto dto = new CommonMinuteDto(); + dto.setLineId(line); + dto.setTime(time); + dto.setQualityFlag(lineList.get(0).getQualityFlag()); + //以相别分组 + Map> phasicTypeMap = lineList.stream().collect(Collectors.groupingBy(DataHarmphasicI::getPhasicType)); + List phasicTypes = new ArrayList<>(); + phasicTypeMap.forEach((phasicType,phasicTypeList)->{ + CommonMinuteDto.PhasicType type = new CommonMinuteDto.PhasicType(); + type.setPhasicType(phasicType); + //以数据类型分组 + Map> valueTypeMap = phasicTypeList.stream().collect(Collectors.groupingBy(DataHarmphasicI::getValueType)); + List valueTypes = new ArrayList<>(); + valueTypeMap.forEach((valueType,valueTypeList)->{ + CommonMinuteDto.ValueType value = new CommonMinuteDto.ValueType(); + value.setValueType(valueType); + //规定好集合指标参数 + List data12 = valueTypeList.stream().map(DataHarmphasicI::getI1).collect(Collectors.toList()); + List data13 = valueTypeList.stream().map(DataHarmphasicI::getI2).collect(Collectors.toList()); + List data14 = valueTypeList.stream().map(DataHarmphasicI::getI3).collect(Collectors.toList()); + List data15 = valueTypeList.stream().map(DataHarmphasicI::getI4).collect(Collectors.toList()); + List data16 = valueTypeList.stream().map(DataHarmphasicI::getI5).collect(Collectors.toList()); + List data17 = valueTypeList.stream().map(DataHarmphasicI::getI6).collect(Collectors.toList()); + List data18 = valueTypeList.stream().map(DataHarmphasicI::getI7).collect(Collectors.toList()); + List data19 = valueTypeList.stream().map(DataHarmphasicI::getI8).collect(Collectors.toList()); + List data20 = valueTypeList.stream().map(DataHarmphasicI::getI9).collect(Collectors.toList()); + List data21 = valueTypeList.stream().map(DataHarmphasicI::getI10).collect(Collectors.toList()); + List data22 = valueTypeList.stream().map(DataHarmphasicI::getI11).collect(Collectors.toList()); + List data23 = valueTypeList.stream().map(DataHarmphasicI::getI12).collect(Collectors.toList()); + List data24 = valueTypeList.stream().map(DataHarmphasicI::getI13).collect(Collectors.toList()); + List data25 = valueTypeList.stream().map(DataHarmphasicI::getI14).collect(Collectors.toList()); + List data26 = valueTypeList.stream().map(DataHarmphasicI::getI15).collect(Collectors.toList()); + List data27 = valueTypeList.stream().map(DataHarmphasicI::getI16).collect(Collectors.toList()); + List data28 = valueTypeList.stream().map(DataHarmphasicI::getI17).collect(Collectors.toList()); + List data29 = valueTypeList.stream().map(DataHarmphasicI::getI18).collect(Collectors.toList()); + List data30 = valueTypeList.stream().map(DataHarmphasicI::getI19).collect(Collectors.toList()); + List data31 = valueTypeList.stream().map(DataHarmphasicI::getI20).collect(Collectors.toList()); + List data32 = valueTypeList.stream().map(DataHarmphasicI::getI21).collect(Collectors.toList()); + List data33 = valueTypeList.stream().map(DataHarmphasicI::getI22).collect(Collectors.toList()); + List data34 = valueTypeList.stream().map(DataHarmphasicI::getI23).collect(Collectors.toList()); + List data35 = valueTypeList.stream().map(DataHarmphasicI::getI24).collect(Collectors.toList()); + List data36 = valueTypeList.stream().map(DataHarmphasicI::getI25).collect(Collectors.toList()); + List data37 = valueTypeList.stream().map(DataHarmphasicI::getI26).collect(Collectors.toList()); + List data38 = valueTypeList.stream().map(DataHarmphasicI::getI27).collect(Collectors.toList()); + List data39 = valueTypeList.stream().map(DataHarmphasicI::getI28).collect(Collectors.toList()); + List data40 = valueTypeList.stream().map(DataHarmphasicI::getI29).collect(Collectors.toList()); + List data41 = valueTypeList.stream().map(DataHarmphasicI::getI30).collect(Collectors.toList()); + List data42 = valueTypeList.stream().map(DataHarmphasicI::getI31).collect(Collectors.toList()); + List data43 = valueTypeList.stream().map(DataHarmphasicI::getI32).collect(Collectors.toList()); + List data44 = valueTypeList.stream().map(DataHarmphasicI::getI33).collect(Collectors.toList()); + List data45 = valueTypeList.stream().map(DataHarmphasicI::getI34).collect(Collectors.toList()); + List data46 = valueTypeList.stream().map(DataHarmphasicI::getI35).collect(Collectors.toList()); + List data47 = valueTypeList.stream().map(DataHarmphasicI::getI36).collect(Collectors.toList()); + List data48 = valueTypeList.stream().map(DataHarmphasicI::getI37).collect(Collectors.toList()); + List data49 = valueTypeList.stream().map(DataHarmphasicI::getI38).collect(Collectors.toList()); + List data50 = valueTypeList.stream().map(DataHarmphasicI::getI39).collect(Collectors.toList()); + List data51 = valueTypeList.stream().map(DataHarmphasicI::getI40).collect(Collectors.toList()); + List data52 = valueTypeList.stream().map(DataHarmphasicI::getI41).collect(Collectors.toList()); + List data53 = valueTypeList.stream().map(DataHarmphasicI::getI42).collect(Collectors.toList()); + List data54 = valueTypeList.stream().map(DataHarmphasicI::getI43).collect(Collectors.toList()); + List data55 = valueTypeList.stream().map(DataHarmphasicI::getI44).collect(Collectors.toList()); + List data56 = valueTypeList.stream().map(DataHarmphasicI::getI45).collect(Collectors.toList()); + List data57 = valueTypeList.stream().map(DataHarmphasicI::getI46).collect(Collectors.toList()); + List data58 = valueTypeList.stream().map(DataHarmphasicI::getI47).collect(Collectors.toList()); + List data59 = valueTypeList.stream().map(DataHarmphasicI::getI48).collect(Collectors.toList()); + List data60 = valueTypeList.stream().map(DataHarmphasicI::getI49).collect(Collectors.toList()); + List data61 = valueTypeList.stream().map(DataHarmphasicI::getI50).collect(Collectors.toList()); + + List> lists = Arrays.asList(data12,data13,data14,data15,data16 + ,data17,data18,data19,data20,data21,data22,data23,data24,data25,data26 + ,data27,data28,data29,data30,data31,data32,data33,data34,data35,data36 + ,data37,data38,data39,data40,data41,data42,data43,data44,data45,data46 + ,data47,data48,data49,data50,data51,data52,data53,data54,data55,data56 + ,data57,data58,data59,data60,data61); + value.setValueList(lists); + valueTypes.add(value); + }); + type.setValueTypeList(valueTypes); + phasicTypes.add(type); + }); + dto.setPhasicTypeList(phasicTypes); + result.add(dto); + }); + } + return result; + } + + @Override + public void addList(List list) { + + } + + /** + * 按监测点集合、时间条件获取分钟数据 + * timeMap参数来判断是否进行数据处理 timeMap为空则不进行数据处理 + * 需要进行剔除异常数据时,这里会有三种情况判断 + * 1.无异常数据，则直接返回集合； + * 2.异常数据和无异常数据参杂，剔除异常数据，只计算正常数据； + * 3.全是异常数据，则使用异常数据进行计算，但是日表中需要标记出来，此数据有异常 + */ + public List getMinuteData(List lineList, String startTime, String endTime, Map> timeMap) { + List result = new ArrayList<>(); + InfluxQueryWrapper influxQueryWrapper = new InfluxQueryWrapper(DataHarmphasicI.class); + influxQueryWrapper.samePrefixAndSuffix(InfluxDbSqlConstant.I, "", HarmonicTimesUtil.harmonicTimesList(1, 50, 1)); + influxQueryWrapper.regular(DataHarmphasicI::getLineId, lineList) + .select(DataHarmphasicI::getLineId) + .select(DataHarmphasicI::getPhasicType) + .select(DataHarmphasicI::getValueType) + .select(DataHarmphasicI::getQualityFlag) + .between(DataHarmphasicI::getTime, startTime, endTime) + .eq(DataHarmphasicI::getQualityFlag,"0"); + List list = dataHarmphasicIMapper.selectByQueryWrapper(influxQueryWrapper); + Map> lineMap = list.stream().collect(Collectors.groupingBy(DataHarmphasicI::getLineId)); + //有异常数据 + if (CollectionUtil.isNotEmpty(timeMap)) { + lineMap.forEach((k,v)->{ + List timeList = timeMap.get(k); + //有异常数据,当前监测点自身的异常数据 + if (CollectionUtil.isNotEmpty(timeList)) { + List filterList = v.stream().filter(item -> !timeList.contains(DATE_TIME_FORMATTER.format(item.getTime()))).collect(Collectors.toList()); + //1.过滤掉异常数据后还有正常数据，则用正常数据计算 + if (CollectionUtil.isNotEmpty(filterList)) { + result.addAll(filterList); + } + //2.过滤掉异常数据后没有正常数据，则用所有异常数据计算，但是需要标记数据为异常的 + else { + v.parallelStream().forEach(item -> item.setQualityFlag("1")); + result.addAll(v); + } + } + //没有异常数据，则使用原数据 + else { + result.addAll(v); + } + }); + } + //没有异常数据，则使用原数据 + else { + result.addAll(list); + } + return result; + } } diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataHarmphasicVImpl.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataHarmphasicVImpl.java index f2028c3..ee80f92 100644 --- a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataHarmphasicVImpl.java +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataHarmphasicVImpl.java @@ -1,15 +1,30 @@ package com.njcn.dataProcess.service.impl.influxdb; -import com.njcn.dataProcess.dto.DataHarmphasicVDTO; +import cn.hutool.core.collection.CollectionUtil; +import com.github.jeffreyning.mybatisplus.service.MppServiceImpl; +import com.njcn.common.utils.HarmonicTimesUtil; import com.njcn.dataProcess.dao.imapper.DataHarmphasicVMapper; +import com.njcn.dataProcess.dao.relation.mapper.RStatDataHarmPhasicVRelationMapper; +import com.njcn.dataProcess.dto.DataHarmphasicVDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.po.influx.DataHarmphasicI; import com.njcn.dataProcess.po.influx.DataHarmphasicV; +import com.njcn.dataProcess.pojo.dto.CommonMinuteDto; +import com.njcn.dataProcess.pojo.dto.DataHarmDto; +import com.njcn.dataProcess.pojo.dto.DataHarmPhasicVDto; +import com.njcn.dataProcess.pojo.po.RStatDataHarmPhasicVD; import com.njcn.dataProcess.service.IDataHarmphasicV; +import com.njcn.dataProcess.util.TimeUtils; +import com.njcn.influx.constant.InfluxDbSqlConstant; +import com.njcn.influx.query.InfluxQueryWrapper; import lombok.RequiredArgsConstructor; import org.apache.commons.collections4.ListUtils; +import org.springframework.beans.BeanUtils; import org.springframework.stereotype.Service; -import java.util.ArrayList; -import java.util.List; +import java.time.ZoneId; +import java.time.format.DateTimeFormatter; +import java.util.*; import java.util.stream.Collectors; /** @@ -21,7 +36,9 @@ import java.util.stream.Collectors; */ @Service("InfluxdbDataHarmphasicVImpl") @RequiredArgsConstructor -public class InfluxdbDataHarmphasicVImpl implements IDataHarmphasicV { +public class InfluxdbDataHarmphasicVImpl extends MppServiceImpl implements IDataHarmphasicV { + + private final DateTimeFormatter DATE_TIME_FORMATTER = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss").withZone(ZoneId.systemDefault()); private final DataHarmphasicVMapper dataHarmphasicVMapper; @@ -44,4 +61,169 @@ public class InfluxdbDataHarmphasicVImpl implements IDataHarmphasicV { } } + + @Override + public List getRawData(LineCountEvaluateParam lineParam) { + List result = new ArrayList<>(); + List list = getMinuteData(lineParam.getLineId(), lineParam.getStartTime(), lineParam.getEndTime(), lineParam.getAbnormalTime()); + list.forEach(item->{ + DataHarmDto dto = new DataHarmDto(); + BeanUtils.copyProperties(item,dto); + dto.setMinTime(DATE_TIME_FORMATTER.format(item.getTime())); + result.add(dto); + }); + return result; + } + + @Override + public List getBaseData(LineCountEvaluateParam lineParam) { + List result = new ArrayList<>(); + List data = getMinuteData(lineParam.getLineId(), lineParam.getStartTime(), lineParam.getEndTime(),lineParam.getAbnormalTime()); + if (CollectionUtil.isNotEmpty(data)) { + String time = TimeUtils.StringTimeToString(lineParam.getStartTime()); + //以监测点分组 + Map> lineMap = data.stream().collect(Collectors.groupingBy(DataHarmphasicV::getLineId)); + lineMap.forEach((line,lineList)->{ + CommonMinuteDto dto = new CommonMinuteDto(); + dto.setLineId(line); + dto.setTime(time); + dto.setQualityFlag(lineList.get(0).getQualityFlag()); + //以相别分组 + Map> phasicTypeMap = lineList.stream().collect(Collectors.groupingBy(DataHarmphasicV::getPhasicType)); + List phasicTypes = new ArrayList<>(); + phasicTypeMap.forEach((phasicType,phasicTypeList)->{ + CommonMinuteDto.PhasicType type = new CommonMinuteDto.PhasicType(); + type.setPhasicType(phasicType); + //以数据类型分组 + Map> valueTypeMap = phasicTypeList.stream().collect(Collectors.groupingBy(DataHarmphasicV::getValueType)); + List valueTypes = new ArrayList<>(); + valueTypeMap.forEach((valueType,valueTypeList)->{ + CommonMinuteDto.ValueType value = new CommonMinuteDto.ValueType(); + value.setValueType(valueType); + //规定好集合指标参数 + List data12 = valueTypeList.stream().map(DataHarmphasicV::getV1).collect(Collectors.toList()); + List data13 = valueTypeList.stream().map(DataHarmphasicV::getV2).collect(Collectors.toList()); + List data14 = valueTypeList.stream().map(DataHarmphasicV::getV3).collect(Collectors.toList()); + List data15 = valueTypeList.stream().map(DataHarmphasicV::getV4).collect(Collectors.toList()); + List data16 = valueTypeList.stream().map(DataHarmphasicV::getV5).collect(Collectors.toList()); + List data17 = valueTypeList.stream().map(DataHarmphasicV::getV6).collect(Collectors.toList()); + List data18 = valueTypeList.stream().map(DataHarmphasicV::getV7).collect(Collectors.toList()); + List data19 = valueTypeList.stream().map(DataHarmphasicV::getV8).collect(Collectors.toList()); + List data20 = valueTypeList.stream().map(DataHarmphasicV::getV9).collect(Collectors.toList()); + List data21 = valueTypeList.stream().map(DataHarmphasicV::getV10).collect(Collectors.toList()); + List data22 = valueTypeList.stream().map(DataHarmphasicV::getV11).collect(Collectors.toList()); + List data23 = valueTypeList.stream().map(DataHarmphasicV::getV12).collect(Collectors.toList()); + List data24 = valueTypeList.stream().map(DataHarmphasicV::getV13).collect(Collectors.toList()); + List data25 = valueTypeList.stream().map(DataHarmphasicV::getV14).collect(Collectors.toList()); + List data26 = valueTypeList.stream().map(DataHarmphasicV::getV15).collect(Collectors.toList()); + List data27 = valueTypeList.stream().map(DataHarmphasicV::getV16).collect(Collectors.toList()); + List data28 = valueTypeList.stream().map(DataHarmphasicV::getV17).collect(Collectors.toList()); + List data29 = valueTypeList.stream().map(DataHarmphasicV::getV18).collect(Collectors.toList()); + List data30 = valueTypeList.stream().map(DataHarmphasicV::getV19).collect(Collectors.toList()); + List data31 = valueTypeList.stream().map(DataHarmphasicV::getV20).collect(Collectors.toList()); + List data32 = valueTypeList.stream().map(DataHarmphasicV::getV21).collect(Collectors.toList()); + List data33 = valueTypeList.stream().map(DataHarmphasicV::getV22).collect(Collectors.toList()); + List data34 = valueTypeList.stream().map(DataHarmphasicV::getV23).collect(Collectors.toList()); + List data35 = valueTypeList.stream().map(DataHarmphasicV::getV24).collect(Collectors.toList()); + List data36 = valueTypeList.stream().map(DataHarmphasicV::getV25).collect(Collectors.toList()); + List data37 = valueTypeList.stream().map(DataHarmphasicV::getV26).collect(Collectors.toList()); + List data38 = valueTypeList.stream().map(DataHarmphasicV::getV27).collect(Collectors.toList()); + List data39 = valueTypeList.stream().map(DataHarmphasicV::getV28).collect(Collectors.toList()); + List data40 = valueTypeList.stream().map(DataHarmphasicV::getV29).collect(Collectors.toList()); + List data41 = valueTypeList.stream().map(DataHarmphasicV::getV30).collect(Collectors.toList()); + List data42 = valueTypeList.stream().map(DataHarmphasicV::getV31).collect(Collectors.toList()); + List data43 = valueTypeList.stream().map(DataHarmphasicV::getV32).collect(Collectors.toList()); + List data44 = valueTypeList.stream().map(DataHarmphasicV::getV33).collect(Collectors.toList()); + List data45 = valueTypeList.stream().map(DataHarmphasicV::getV34).collect(Collectors.toList()); + List data46 = valueTypeList.stream().map(DataHarmphasicV::getV35).collect(Collectors.toList()); + List data47 = valueTypeList.stream().map(DataHarmphasicV::getV36).collect(Collectors.toList()); + List data48 = valueTypeList.stream().map(DataHarmphasicV::getV37).collect(Collectors.toList()); + List data49 = valueTypeList.stream().map(DataHarmphasicV::getV38).collect(Collectors.toList()); + List data50 = valueTypeList.stream().map(DataHarmphasicV::getV39).collect(Collectors.toList()); + List data51 = valueTypeList.stream().map(DataHarmphasicV::getV40).collect(Collectors.toList()); + List data52 = valueTypeList.stream().map(DataHarmphasicV::getV41).collect(Collectors.toList()); + List data53 = valueTypeList.stream().map(DataHarmphasicV::getV42).collect(Collectors.toList()); + List data54 = valueTypeList.stream().map(DataHarmphasicV::getV43).collect(Collectors.toList()); + List data55 = valueTypeList.stream().map(DataHarmphasicV::getV44).collect(Collectors.toList()); + List data56 = valueTypeList.stream().map(DataHarmphasicV::getV45).collect(Collectors.toList()); + List data57 = valueTypeList.stream().map(DataHarmphasicV::getV46).collect(Collectors.toList()); + List data58 = valueTypeList.stream().map(DataHarmphasicV::getV47).collect(Collectors.toList()); + List data59 = valueTypeList.stream().map(DataHarmphasicV::getV48).collect(Collectors.toList()); + List data60 = valueTypeList.stream().map(DataHarmphasicV::getV49).collect(Collectors.toList()); + List data61 = valueTypeList.stream().map(DataHarmphasicV::getV50).collect(Collectors.toList()); + + List> lists = Arrays.asList(data12,data13,data14,data15,data16 + ,data17,data18,data19,data20,data21,data22,data23,data24,data25,data26 + ,data27,data28,data29,data30,data31,data32,data33,data34,data35,data36 + ,data37,data38,data39,data40,data41,data42,data43,data44,data45,data46 + ,data47,data48,data49,data50,data51,data52,data53,data54,data55,data56 + ,data57,data58,data59,data60,data61); + value.setValueList(lists); + valueTypes.add(value); + }); + type.setValueTypeList(valueTypes); + phasicTypes.add(type); + }); + dto.setPhasicTypeList(phasicTypes); + result.add(dto); + }); + } + return result; + } + + @Override + public void addList(List list) { + + } + + /** + * 按监测点集合、时间条件获取分钟数据 + * timeMap参数来判断是否进行数据处理 timeMap为空则不进行数据处理 + * 需要进行剔除异常数据时,这里会有三种情况判断 + * 1.无异常数据，则直接返回集合； + * 2.异常数据和无异常数据参杂，剔除异常数据，只计算正常数据； + * 3.全是异常数据，则使用异常数据进行计算，但是日表中需要标记出来，此数据有异常 + */ + public List getMinuteData(List lineList, String startTime, String endTime, Map> timeMap) { + List result = new ArrayList<>(); + InfluxQueryWrapper influxQueryWrapper = new InfluxQueryWrapper(DataHarmphasicV.class); + influxQueryWrapper.samePrefixAndSuffix(InfluxDbSqlConstant.V, "", HarmonicTimesUtil.harmonicTimesList(1, 50, 1)); + influxQueryWrapper.regular(DataHarmphasicV::getLineId, lineList) + .select(DataHarmphasicV::getLineId) + .select(DataHarmphasicV::getPhasicType) + .select(DataHarmphasicV::getValueType) + .select(DataHarmphasicV::getQualityFlag) + .between(DataHarmphasicV::getTime, startTime, endTime) + .eq(DataHarmphasicV::getQualityFlag,"0"); + List list = dataHarmphasicVMapper.selectByQueryWrapper(influxQueryWrapper); + Map> lineMap = list.stream().collect(Collectors.groupingBy(DataHarmphasicV::getLineId)); + //有异常数据 + if (CollectionUtil.isNotEmpty(timeMap)) { + lineMap.forEach((k,v)->{ + List timeList = timeMap.get(k); + //有异常数据,当前监测点自身的异常数据 + if (CollectionUtil.isNotEmpty(timeList)) { + List filterList = v.stream().filter(item -> !timeList.contains(DATE_TIME_FORMATTER.format(item.getTime()))).collect(Collectors.toList()); + //1.过滤掉异常数据后还有正常数据，则用正常数据计算 + if (CollectionUtil.isNotEmpty(filterList)) { + result.addAll(filterList); + } + //2.过滤掉异常数据后没有正常数据，则用所有异常数据计算，但是需要标记数据为异常的 + else { + v.parallelStream().forEach(item -> item.setQualityFlag("1")); + result.addAll(v); + } + } + //没有异常数据，则使用原数据 + else { + result.addAll(v); + } + }); + } + //没有异常数据，则使用原数据 + else { + result.addAll(list); + } + return result; + } } diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataHarmpowerPImpl.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataHarmpowerPImpl.java index 4cf984a..e5630a1 100644 --- a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataHarmpowerPImpl.java +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataHarmpowerPImpl.java @@ -1,15 +1,30 @@ package com.njcn.dataProcess.service.impl.influxdb; -import com.njcn.dataProcess.dto.DataHarmpowerPDTO; +import cn.hutool.core.collection.CollectionUtil; +import com.github.jeffreyning.mybatisplus.service.MppServiceImpl; +import com.njcn.common.utils.HarmonicTimesUtil; import com.njcn.dataProcess.dao.imapper.DataHarmpowerPMapper; +import com.njcn.dataProcess.dao.relation.mapper.RStatDataHarmPowerPRelationMapper; +import com.njcn.dataProcess.dto.DataHarmpowerPDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.po.influx.DataHarmphasicV; import com.njcn.dataProcess.po.influx.DataHarmpowerP; +import com.njcn.dataProcess.pojo.dto.CommonMinuteDto; +import com.njcn.dataProcess.pojo.dto.DataHarmPowerPDto; +import com.njcn.dataProcess.pojo.dto.DataPowerPDto; +import com.njcn.dataProcess.pojo.po.RStatDataHarmPowerPD; import com.njcn.dataProcess.service.IDataHarmpowerP; +import com.njcn.dataProcess.util.TimeUtils; +import com.njcn.influx.constant.InfluxDbSqlConstant; +import com.njcn.influx.query.InfluxQueryWrapper; import lombok.RequiredArgsConstructor; import org.apache.commons.collections4.ListUtils; +import org.springframework.beans.BeanUtils; import org.springframework.stereotype.Service; -import java.util.ArrayList; -import java.util.List; +import java.time.ZoneId; +import java.time.format.DateTimeFormatter; +import java.util.*; import java.util.stream.Collectors; /** @@ -21,7 +36,9 @@ import java.util.stream.Collectors; */ @Service("InfluxdbDataHarmpowerPImpl") @RequiredArgsConstructor -public class InfluxdbDataHarmpowerPImpl implements IDataHarmpowerP { +public class InfluxdbDataHarmpowerPImpl extends MppServiceImpl implements IDataHarmpowerP { + + private final DateTimeFormatter DATE_TIME_FORMATTER = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss").withZone(ZoneId.systemDefault()); private final DataHarmpowerPMapper dataHarmpowerPMapper; @@ -43,4 +60,176 @@ public class InfluxdbDataHarmpowerPImpl implements IDataHarmpowerP { } } + + @Override + public List getRawData(LineCountEvaluateParam lineParam) { + List result = new ArrayList<>(); + List list = getMinuteData(lineParam.getLineId(), lineParam.getStartTime(), lineParam.getEndTime(), lineParam.getAbnormalTime()); + list.forEach(item->{ + DataPowerPDto dto = new DataPowerPDto(); + BeanUtils.copyProperties(item,dto); + dto.setMinTime(DATE_TIME_FORMATTER.format(item.getTime())); + result.add(dto); + }); + return result; + } + + @Override + public List getBaseData(LineCountEvaluateParam lineParam) { + List result = new ArrayList<>(); + List data = getMinuteData(lineParam.getLineId(), lineParam.getStartTime(), lineParam.getEndTime(),lineParam.getAbnormalTime()); + if (CollectionUtil.isNotEmpty(data)) { + String time = TimeUtils.StringTimeToString(lineParam.getStartTime()); + //以监测点分组 + Map> lineMap = data.stream().collect(Collectors.groupingBy(DataHarmpowerP::getLineId)); + lineMap.forEach((line,lineList)->{ + CommonMinuteDto dto = new CommonMinuteDto(); + dto.setLineId(line); + dto.setTime(time); + dto.setQualityFlag(lineList.get(0).getQualityFlag()); + //以相别分组 + Map> phasicTypeMap = lineList.stream().collect(Collectors.groupingBy(DataHarmpowerP::getPhasicType)); + List phasicTypes = new ArrayList<>(); + phasicTypeMap.forEach((phasicType,phasicTypeList)->{ + CommonMinuteDto.PhasicType type = new CommonMinuteDto.PhasicType(); + type.setPhasicType(phasicType); + //以数据类型分组 + Map> valueTypeMap = phasicTypeList.stream().collect(Collectors.groupingBy(DataHarmpowerP::getValueType)); + List valueTypes = new ArrayList<>(); + valueTypeMap.forEach((valueType,valueTypeList)->{ + CommonMinuteDto.ValueType value = new CommonMinuteDto.ValueType(); + value.setValueType(valueType); + //规定好集合指标参数 + List data1 = valueTypeList.stream().map(DataHarmpowerP::getDf).collect(Collectors.toList()); + List data2 = valueTypeList.stream().map(DataHarmpowerP::getPf).collect(Collectors.toList()); + List data3 = valueTypeList.stream().map(DataHarmpowerP::getP).collect(Collectors.toList()); + + List data12 = valueTypeList.stream().map(DataHarmpowerP::getP1).collect(Collectors.toList()); + List data13 = valueTypeList.stream().map(DataHarmpowerP::getP2).collect(Collectors.toList()); + List data14 = valueTypeList.stream().map(DataHarmpowerP::getP3).collect(Collectors.toList()); + List data15 = valueTypeList.stream().map(DataHarmpowerP::getP4).collect(Collectors.toList()); + List data16 = valueTypeList.stream().map(DataHarmpowerP::getP5).collect(Collectors.toList()); + List data17 = valueTypeList.stream().map(DataHarmpowerP::getP6).collect(Collectors.toList()); + List data18 = valueTypeList.stream().map(DataHarmpowerP::getP7).collect(Collectors.toList()); + List data19 = valueTypeList.stream().map(DataHarmpowerP::getP8).collect(Collectors.toList()); + List data20 = valueTypeList.stream().map(DataHarmpowerP::getP9).collect(Collectors.toList()); + List data21 = valueTypeList.stream().map(DataHarmpowerP::getP10).collect(Collectors.toList()); + List data22 = valueTypeList.stream().map(DataHarmpowerP::getP11).collect(Collectors.toList()); + List data23 = valueTypeList.stream().map(DataHarmpowerP::getP12).collect(Collectors.toList()); + List data24 = valueTypeList.stream().map(DataHarmpowerP::getP13).collect(Collectors.toList()); + List data25 = valueTypeList.stream().map(DataHarmpowerP::getP14).collect(Collectors.toList()); + List data26 = valueTypeList.stream().map(DataHarmpowerP::getP15).collect(Collectors.toList()); + List data27 = valueTypeList.stream().map(DataHarmpowerP::getP16).collect(Collectors.toList()); + List data28 = valueTypeList.stream().map(DataHarmpowerP::getP17).collect(Collectors.toList()); + List data29 = valueTypeList.stream().map(DataHarmpowerP::getP18).collect(Collectors.toList()); + List data30 = valueTypeList.stream().map(DataHarmpowerP::getP19).collect(Collectors.toList()); + List data31 = valueTypeList.stream().map(DataHarmpowerP::getP20).collect(Collectors.toList()); + List data32 = valueTypeList.stream().map(DataHarmpowerP::getP21).collect(Collectors.toList()); + List data33 = valueTypeList.stream().map(DataHarmpowerP::getP22).collect(Collectors.toList()); + List data34 = valueTypeList.stream().map(DataHarmpowerP::getP23).collect(Collectors.toList()); + List data35 = valueTypeList.stream().map(DataHarmpowerP::getP24).collect(Collectors.toList()); + List data36 = valueTypeList.stream().map(DataHarmpowerP::getP25).collect(Collectors.toList()); + List data37 = valueTypeList.stream().map(DataHarmpowerP::getP26).collect(Collectors.toList()); + List data38 = valueTypeList.stream().map(DataHarmpowerP::getP27).collect(Collectors.toList()); + List data39 = valueTypeList.stream().map(DataHarmpowerP::getP28).collect(Collectors.toList()); + List data40 = valueTypeList.stream().map(DataHarmpowerP::getP29).collect(Collectors.toList()); + List data41 = valueTypeList.stream().map(DataHarmpowerP::getP30).collect(Collectors.toList()); + List data42 = valueTypeList.stream().map(DataHarmpowerP::getP31).collect(Collectors.toList()); + List data43 = valueTypeList.stream().map(DataHarmpowerP::getP32).collect(Collectors.toList()); + List data44 = valueTypeList.stream().map(DataHarmpowerP::getP33).collect(Collectors.toList()); + List data45 = valueTypeList.stream().map(DataHarmpowerP::getP34).collect(Collectors.toList()); + List data46 = valueTypeList.stream().map(DataHarmpowerP::getP35).collect(Collectors.toList()); + List data47 = valueTypeList.stream().map(DataHarmpowerP::getP36).collect(Collectors.toList()); + List data48 = valueTypeList.stream().map(DataHarmpowerP::getP37).collect(Collectors.toList()); + List data49 = valueTypeList.stream().map(DataHarmpowerP::getP38).collect(Collectors.toList()); + List data50 = valueTypeList.stream().map(DataHarmpowerP::getP39).collect(Collectors.toList()); + List data51 = valueTypeList.stream().map(DataHarmpowerP::getP40).collect(Collectors.toList()); + List data52 = valueTypeList.stream().map(DataHarmpowerP::getP41).collect(Collectors.toList()); + List data53 = valueTypeList.stream().map(DataHarmpowerP::getP42).collect(Collectors.toList()); + List data54 = valueTypeList.stream().map(DataHarmpowerP::getP43).collect(Collectors.toList()); + List data55 = valueTypeList.stream().map(DataHarmpowerP::getP44).collect(Collectors.toList()); + List data56 = valueTypeList.stream().map(DataHarmpowerP::getP45).collect(Collectors.toList()); + List data57 = valueTypeList.stream().map(DataHarmpowerP::getP46).collect(Collectors.toList()); + List data58 = valueTypeList.stream().map(DataHarmpowerP::getP47).collect(Collectors.toList()); + List data59 = valueTypeList.stream().map(DataHarmpowerP::getP48).collect(Collectors.toList()); + List data60 = valueTypeList.stream().map(DataHarmpowerP::getP49).collect(Collectors.toList()); + List data61 = valueTypeList.stream().map(DataHarmpowerP::getP50).collect(Collectors.toList()); + + List> lists = Arrays.asList(data1,data2,data3,data12,data13,data14 + ,data15,data16,data17,data18,data19,data20,data21,data22,data23,data24 + ,data25,data26,data27,data28,data29,data30,data31,data32,data33,data34 + ,data35,data36,data37,data38,data39,data40,data41,data42,data43,data44 + ,data45,data46,data47,data48,data49,data50,data51,data52,data53,data54 + ,data55,data56,data57,data58,data59,data60,data61); + value.setValueList(lists); + valueTypes.add(value); + }); + type.setValueTypeList(valueTypes); + phasicTypes.add(type); + }); + dto.setPhasicTypeList(phasicTypes); + result.add(dto); + }); + } + return result; + } + + @Override + public void addList(List list) { + + } + + /** + * 按监测点集合、时间条件获取分钟数据 + * timeMap参数来判断是否进行数据处理 timeMap为空则不进行数据处理 + * 需要进行剔除异常数据时,这里会有三种情况判断 + * 1.无异常数据，则直接返回集合； + * 2.异常数据和无异常数据参杂，剔除异常数据，只计算正常数据； + * 3.全是异常数据，则使用异常数据进行计算，但是日表中需要标记出来，此数据有异常 + */ + public List getMinuteData(List lineList, String startTime, String endTime, Map> timeMap) { + List result = new ArrayList<>(); + InfluxQueryWrapper influxQueryWrapper = new InfluxQueryWrapper(DataHarmpowerP.class); + influxQueryWrapper.samePrefixAndSuffix(InfluxDbSqlConstant.P, "", HarmonicTimesUtil.harmonicTimesList(1, 50, 1)); + influxQueryWrapper.regular(DataHarmpowerP::getLineId, lineList) + .select(DataHarmpowerP::getLineId) + .select(DataHarmpowerP::getPhasicType) + .select(DataHarmpowerP::getValueType) + .select(DataHarmpowerP::getP) + .select(DataHarmpowerP::getDf) + .select(DataHarmpowerP::getPf) + .select(DataHarmpowerP::getQualityFlag) + .between(DataHarmpowerP::getTime, startTime, endTime) + .eq(DataHarmpowerP::getQualityFlag,"0"); + List list = dataHarmpowerPMapper.selectByQueryWrapper(influxQueryWrapper); + Map> lineMap = list.stream().collect(Collectors.groupingBy(DataHarmpowerP::getLineId)); + //有异常数据 + if (CollectionUtil.isNotEmpty(timeMap)) { + lineMap.forEach((k,v)->{ + List timeList = timeMap.get(k); + //有异常数据,当前监测点自身的异常数据 + if (CollectionUtil.isNotEmpty(timeList)) { + List filterList = v.stream().filter(item -> !timeList.contains(DATE_TIME_FORMATTER.format(item.getTime()))).collect(Collectors.toList()); + //1.过滤掉异常数据后还有正常数据，则用正常数据计算 + if (CollectionUtil.isNotEmpty(filterList)) { + result.addAll(filterList); + } + //2.过滤掉异常数据后没有正常数据，则用所有异常数据计算，但是需要标记数据为异常的 + else { + v.parallelStream().forEach(item -> item.setQualityFlag("1")); + result.addAll(v); + } + } + //没有异常数据，则使用原数据 + else { + result.addAll(v); + } + }); + } + //没有异常数据，则使用原数据 + else { + result.addAll(list); + } + return result; + } } diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataHarmpowerQImpl.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataHarmpowerQImpl.java index 75c8344..7458572 100644 --- a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataHarmpowerQImpl.java +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataHarmpowerQImpl.java @@ -1,15 +1,28 @@ package com.njcn.dataProcess.service.impl.influxdb; -import com.njcn.dataProcess.dto.DataHarmpowerQDTO; +import cn.hutool.core.collection.CollectionUtil; +import com.github.jeffreyning.mybatisplus.service.MppServiceImpl; +import com.njcn.common.utils.HarmonicTimesUtil; import com.njcn.dataProcess.dao.imapper.DataHarmpowerQMapper; +import com.njcn.dataProcess.dao.relation.mapper.RStatDataHarmPowerQRelationMapper; +import com.njcn.dataProcess.dto.DataHarmpowerQDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.po.influx.DataHarmpowerP; import com.njcn.dataProcess.po.influx.DataHarmpowerQ; +import com.njcn.dataProcess.pojo.dto.CommonMinuteDto; +import com.njcn.dataProcess.pojo.dto.DataHarmPowerQDto; +import com.njcn.dataProcess.pojo.po.RStatDataHarmPowerQD; import com.njcn.dataProcess.service.IDataHarmpowerQ; +import com.njcn.dataProcess.util.TimeUtils; +import com.njcn.influx.constant.InfluxDbSqlConstant; +import com.njcn.influx.query.InfluxQueryWrapper; import lombok.RequiredArgsConstructor; import org.apache.commons.collections4.ListUtils; import org.springframework.stereotype.Service; -import java.util.ArrayList; -import java.util.List; +import java.time.ZoneId; +import java.time.format.DateTimeFormatter; +import java.util.*; import java.util.stream.Collectors; /** @@ -21,8 +34,9 @@ import java.util.stream.Collectors; */ @Service("InfluxdbDataHarmpowerQImpl") @RequiredArgsConstructor -public class InfluxdbDataHarmpowerQImpl implements IDataHarmpowerQ { +public class InfluxdbDataHarmpowerQImpl extends MppServiceImpl implements IDataHarmpowerQ { + private final DateTimeFormatter DATE_TIME_FORMATTER = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss").withZone(ZoneId.systemDefault()); private final DataHarmpowerQMapper dataHarmpowerQMapper; @@ -43,4 +57,160 @@ public class InfluxdbDataHarmpowerQImpl implements IDataHarmpowerQ { } } + + @Override + public List getBaseData(LineCountEvaluateParam lineParam) { + List result = new ArrayList<>(); + List data = getMinuteData(lineParam.getLineId(), lineParam.getStartTime(), lineParam.getEndTime(),lineParam.getAbnormalTime()); + if (CollectionUtil.isNotEmpty(data)) { + String time = TimeUtils.StringTimeToString(lineParam.getStartTime()); + //以监测点分组 + Map> lineMap = data.stream().collect(Collectors.groupingBy(DataHarmpowerQ::getLineId)); + lineMap.forEach((line,lineList)->{ + CommonMinuteDto dto = new CommonMinuteDto(); + dto.setLineId(line); + dto.setTime(time); + dto.setQualityFlag(lineList.get(0).getQualityFlag()); + //以相别分组 + Map> phasicTypeMap = lineList.stream().collect(Collectors.groupingBy(DataHarmpowerQ::getPhasicType)); + List phasicTypes = new ArrayList<>(); + phasicTypeMap.forEach((phasicType,phasicTypeList)->{ + CommonMinuteDto.PhasicType type = new CommonMinuteDto.PhasicType(); + type.setPhasicType(phasicType); + //以数据类型分组 + Map> valueTypeMap = phasicTypeList.stream().collect(Collectors.groupingBy(DataHarmpowerQ::getValueType)); + List valueTypes = new ArrayList<>(); + valueTypeMap.forEach((valueType,valueTypeList)->{ + CommonMinuteDto.ValueType value = new CommonMinuteDto.ValueType(); + value.setValueType(valueType); + //规定好集合指标参数 + List data1 = valueTypeList.stream().map(DataHarmpowerQ::getQ).collect(Collectors.toList()); + + List data12 = valueTypeList.stream().map(DataHarmpowerQ::getQ1).collect(Collectors.toList()); + List data13 = valueTypeList.stream().map(DataHarmpowerQ::getQ2).collect(Collectors.toList()); + List data14 = valueTypeList.stream().map(DataHarmpowerQ::getQ3).collect(Collectors.toList()); + List data15 = valueTypeList.stream().map(DataHarmpowerQ::getQ4).collect(Collectors.toList()); + List data16 = valueTypeList.stream().map(DataHarmpowerQ::getQ5).collect(Collectors.toList()); + List data17 = valueTypeList.stream().map(DataHarmpowerQ::getQ6).collect(Collectors.toList()); + List data18 = valueTypeList.stream().map(DataHarmpowerQ::getQ7).collect(Collectors.toList()); + List data19 = valueTypeList.stream().map(DataHarmpowerQ::getQ8).collect(Collectors.toList()); + List data20 = valueTypeList.stream().map(DataHarmpowerQ::getQ9).collect(Collectors.toList()); + List data21 = valueTypeList.stream().map(DataHarmpowerQ::getQ10).collect(Collectors.toList()); + List data22 = valueTypeList.stream().map(DataHarmpowerQ::getQ11).collect(Collectors.toList()); + List data23 = valueTypeList.stream().map(DataHarmpowerQ::getQ12).collect(Collectors.toList()); + List data24 = valueTypeList.stream().map(DataHarmpowerQ::getQ13).collect(Collectors.toList()); + List data25 = valueTypeList.stream().map(DataHarmpowerQ::getQ14).collect(Collectors.toList()); + List data26 = valueTypeList.stream().map(DataHarmpowerQ::getQ15).collect(Collectors.toList()); + List data27 = valueTypeList.stream().map(DataHarmpowerQ::getQ16).collect(Collectors.toList()); + List data28 = valueTypeList.stream().map(DataHarmpowerQ::getQ17).collect(Collectors.toList()); + List data29 = valueTypeList.stream().map(DataHarmpowerQ::getQ18).collect(Collectors.toList()); + List data30 = valueTypeList.stream().map(DataHarmpowerQ::getQ19).collect(Collectors.toList()); + List data31 = valueTypeList.stream().map(DataHarmpowerQ::getQ20).collect(Collectors.toList()); + List data32 = valueTypeList.stream().map(DataHarmpowerQ::getQ21).collect(Collectors.toList()); + List data33 = valueTypeList.stream().map(DataHarmpowerQ::getQ22).collect(Collectors.toList()); + List data34 = valueTypeList.stream().map(DataHarmpowerQ::getQ23).collect(Collectors.toList()); + List data35 = valueTypeList.stream().map(DataHarmpowerQ::getQ24).collect(Collectors.toList()); + List data36 = valueTypeList.stream().map(DataHarmpowerQ::getQ25).collect(Collectors.toList()); + List data37 = valueTypeList.stream().map(DataHarmpowerQ::getQ26).collect(Collectors.toList()); + List data38 = valueTypeList.stream().map(DataHarmpowerQ::getQ27).collect(Collectors.toList()); + List data39 = valueTypeList.stream().map(DataHarmpowerQ::getQ28).collect(Collectors.toList()); + List data40 = valueTypeList.stream().map(DataHarmpowerQ::getQ29).collect(Collectors.toList()); + List data41 = valueTypeList.stream().map(DataHarmpowerQ::getQ30).collect(Collectors.toList()); + List data42 = valueTypeList.stream().map(DataHarmpowerQ::getQ31).collect(Collectors.toList()); + List data43 = valueTypeList.stream().map(DataHarmpowerQ::getQ32).collect(Collectors.toList()); + List data44 = valueTypeList.stream().map(DataHarmpowerQ::getQ33).collect(Collectors.toList()); + List data45 = valueTypeList.stream().map(DataHarmpowerQ::getQ34).collect(Collectors.toList()); + List data46 = valueTypeList.stream().map(DataHarmpowerQ::getQ35).collect(Collectors.toList()); + List data47 = valueTypeList.stream().map(DataHarmpowerQ::getQ36).collect(Collectors.toList()); + List data48 = valueTypeList.stream().map(DataHarmpowerQ::getQ37).collect(Collectors.toList()); + List data49 = valueTypeList.stream().map(DataHarmpowerQ::getQ38).collect(Collectors.toList()); + List data50 = valueTypeList.stream().map(DataHarmpowerQ::getQ39).collect(Collectors.toList()); + List data51 = valueTypeList.stream().map(DataHarmpowerQ::getQ40).collect(Collectors.toList()); + List data52 = valueTypeList.stream().map(DataHarmpowerQ::getQ41).collect(Collectors.toList()); + List data53 = valueTypeList.stream().map(DataHarmpowerQ::getQ42).collect(Collectors.toList()); + List data54 = valueTypeList.stream().map(DataHarmpowerQ::getQ43).collect(Collectors.toList()); + List data55 = valueTypeList.stream().map(DataHarmpowerQ::getQ44).collect(Collectors.toList()); + List data56 = valueTypeList.stream().map(DataHarmpowerQ::getQ45).collect(Collectors.toList()); + List data57 = valueTypeList.stream().map(DataHarmpowerQ::getQ46).collect(Collectors.toList()); + List data58 = valueTypeList.stream().map(DataHarmpowerQ::getQ47).collect(Collectors.toList()); + List data59 = valueTypeList.stream().map(DataHarmpowerQ::getQ48).collect(Collectors.toList()); + List data60 = valueTypeList.stream().map(DataHarmpowerQ::getQ49).collect(Collectors.toList()); + List data61 = valueTypeList.stream().map(DataHarmpowerQ::getQ50).collect(Collectors.toList()); + + List> lists = Arrays.asList(data1,data12,data13,data14 + ,data15,data16,data17,data18,data19,data20,data21,data22,data23,data24 + ,data25,data26,data27,data28,data29,data30,data31,data32,data33,data34 + ,data35,data36,data37,data38,data39,data40,data41,data42,data43,data44 + ,data45,data46,data47,data48,data49,data50,data51,data52,data53,data54 + ,data55,data56,data57,data58,data59,data60,data61); + value.setValueList(lists); + valueTypes.add(value); + }); + type.setValueTypeList(valueTypes); + phasicTypes.add(type); + }); + dto.setPhasicTypeList(phasicTypes); + result.add(dto); + }); + } + return result; + } + + @Override + public void addList(List list) { + + } + + /** + * 按监测点集合、时间条件获取分钟数据 + * timeMap参数来判断是否进行数据处理 timeMap为空则不进行数据处理 + * 需要进行剔除异常数据时,这里会有三种情况判断 + * 1.无异常数据，则直接返回集合； + * 2.异常数据和无异常数据参杂，剔除异常数据，只计算正常数据； + * 3.全是异常数据，则使用异常数据进行计算，但是日表中需要标记出来，此数据有异常 + */ + public List getMinuteData(List lineList, String startTime, String endTime, Map> timeMap) { + List result = new ArrayList<>(); + InfluxQueryWrapper influxQueryWrapper = new InfluxQueryWrapper(DataHarmpowerQ.class); + influxQueryWrapper.samePrefixAndSuffix(InfluxDbSqlConstant.Q, "", HarmonicTimesUtil.harmonicTimesList(1, 50, 1)); + influxQueryWrapper.regular(DataHarmpowerQ::getLineId, lineList) + .select(DataHarmpowerQ::getLineId) + .select(DataHarmpowerQ::getPhasicType) + .select(DataHarmpowerQ::getValueType) + .select(DataHarmpowerQ::getQ) + .select(DataHarmpowerQ::getQualityFlag) + .between(DataHarmpowerQ::getTime, startTime, endTime) + .eq(DataHarmpowerQ::getQualityFlag,"0"); + List list = dataHarmpowerQMapper.selectByQueryWrapper(influxQueryWrapper); + Map> lineMap = list.stream().collect(Collectors.groupingBy(DataHarmpowerQ::getLineId)); + //有异常数据 + if (CollectionUtil.isNotEmpty(timeMap)) { + lineMap.forEach((k,v)->{ + List timeList = timeMap.get(k); + //有异常数据,当前监测点自身的异常数据 + if (CollectionUtil.isNotEmpty(timeList)) { + List filterList = v.stream().filter(item -> !timeList.contains(DATE_TIME_FORMATTER.format(item.getTime()))).collect(Collectors.toList()); + //1.过滤掉异常数据后还有正常数据，则用正常数据计算 + if (CollectionUtil.isNotEmpty(filterList)) { + result.addAll(filterList); + } + //2.过滤掉异常数据后没有正常数据，则用所有异常数据计算，但是需要标记数据为异常的 + else { + v.parallelStream().forEach(item -> item.setQualityFlag("1")); + result.addAll(v); + } + } + //没有异常数据，则使用原数据 + else { + result.addAll(v); + } + }); + } + //没有异常数据，则使用原数据 + else { + result.addAll(list); + } + return result; + } + } diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataIImpl.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataIImpl.java index b4508d1..63833f1 100644 --- a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataIImpl.java +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataIImpl.java @@ -1,15 +1,31 @@ package com.njcn.dataProcess.service.impl.influxdb; -import com.njcn.dataProcess.dto.DataIDTO; +import cn.hutool.core.collection.CollectionUtil; +import com.github.jeffreyning.mybatisplus.service.MppServiceImpl; +import com.njcn.common.utils.HarmonicTimesUtil; import com.njcn.dataProcess.dao.imapper.DataIMapper; +import com.njcn.dataProcess.dao.relation.mapper.RStatDataIRelationMapper; +import com.njcn.dataProcess.dto.DataIDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; import com.njcn.dataProcess.po.influx.DataI; +import com.njcn.dataProcess.pojo.dto.CommonMinuteDto; +import com.njcn.dataProcess.pojo.dto.DataIDto; +import com.njcn.dataProcess.pojo.po.RStatDataID; import com.njcn.dataProcess.service.IDataI; +import com.njcn.dataProcess.util.TimeUtils; +import com.njcn.influx.constant.InfluxDbSqlConstant; +import com.njcn.influx.query.InfluxQueryWrapper; import lombok.RequiredArgsConstructor; import org.apache.commons.collections4.ListUtils; +import org.springframework.beans.BeanUtils; import org.springframework.stereotype.Service; +import java.time.ZoneId; +import java.time.format.DateTimeFormatter; import java.util.ArrayList; +import java.util.Arrays; import java.util.List; +import java.util.Map; import java.util.stream.Collectors; /** @@ -21,7 +37,9 @@ import java.util.stream.Collectors; */ @Service("InfluxdbDataIImpl") @RequiredArgsConstructor -public class InfluxdbDataIImpl implements IDataI { +public class InfluxdbDataIImpl extends MppServiceImpl implements IDataI { + + private final DateTimeFormatter DATE_TIME_FORMATTER = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss").withZone(ZoneId.systemDefault()); private final DataIMapper dataIMapper; @@ -43,4 +61,184 @@ public class InfluxdbDataIImpl implements IDataI { } } + + @Override + public List getRawData(LineCountEvaluateParam lineParam) { + List result = new ArrayList<>(); + List list = getMinuteDataI(lineParam.getLineId(), lineParam.getStartTime(), lineParam.getEndTime(), lineParam.getAbnormalTime()); + list.forEach(item->{ + DataIDto dto = new DataIDto(); + BeanUtils.copyProperties(item,dto); + dto.setMinTime(DATE_TIME_FORMATTER.format(item.getTime())); + result.add(dto); + }); + return result; + } + + @Override + public List getBaseData(LineCountEvaluateParam lineParam) { + List result = new ArrayList<>(); + List dataIList = getMinuteDataI(lineParam.getLineId(), lineParam.getStartTime(), lineParam.getEndTime(),lineParam.getAbnormalTime()); + if (CollectionUtil.isNotEmpty(dataIList)) { + String time = TimeUtils.StringTimeToString(lineParam.getStartTime()); + //以监测点分组 + Map> lineMap = dataIList.stream().collect(Collectors.groupingBy(DataI::getLineId)); + lineMap.forEach((line,lineList)->{ + CommonMinuteDto dto = new CommonMinuteDto(); + dto.setLineId(line); + dto.setTime(time); + dto.setQualityFlag(lineList.get(0).getQualityFlag()); + //以相别分组 + Map> phasicTypeMap = lineList.stream().collect(Collectors.groupingBy(DataI::getPhasicType)); + List phasicTypes = new ArrayList<>(); + phasicTypeMap.forEach((phasicType,phasicTypeList)->{ + CommonMinuteDto.PhasicType type = new CommonMinuteDto.PhasicType(); + type.setPhasicType(phasicType); + //以数据类型分组 + Map> valueTypeMap = phasicTypeList.stream().collect(Collectors.groupingBy(DataI::getValueType)); + List valueTypes = new ArrayList<>(); + valueTypeMap.forEach((valueType,valueTypeList)->{ + CommonMinuteDto.ValueType value = new CommonMinuteDto.ValueType(); + value.setValueType(valueType); + //规定好集合指标参数 + List data1 = valueTypeList.stream().map(DataI::getINeg).collect(Collectors.toList()); + List data2 = valueTypeList.stream().map(DataI::getIPos).collect(Collectors.toList()); + List data3 = valueTypeList.stream().map(DataI::getIThd).collect(Collectors.toList()); + List data4 = valueTypeList.stream().map(DataI::getIUnbalance).collect(Collectors.toList()); + List data5 = valueTypeList.stream().map(DataI::getIZero).collect(Collectors.toList()); + List data6 = valueTypeList.stream().map(DataI::getRms).collect(Collectors.toList()); + + List data12 = valueTypeList.stream().map(DataI::getI1).collect(Collectors.toList()); + List data13 = valueTypeList.stream().map(DataI::getI2).collect(Collectors.toList()); + List data14 = valueTypeList.stream().map(DataI::getI3).collect(Collectors.toList()); + List data15 = valueTypeList.stream().map(DataI::getI4).collect(Collectors.toList()); + List data16 = valueTypeList.stream().map(DataI::getI5).collect(Collectors.toList()); + List data17 = valueTypeList.stream().map(DataI::getI6).collect(Collectors.toList()); + List data18 = valueTypeList.stream().map(DataI::getI7).collect(Collectors.toList()); + List data19 = valueTypeList.stream().map(DataI::getI8).collect(Collectors.toList()); + List data20 = valueTypeList.stream().map(DataI::getI9).collect(Collectors.toList()); + List data21 = valueTypeList.stream().map(DataI::getI10).collect(Collectors.toList()); + List data22 = valueTypeList.stream().map(DataI::getI11).collect(Collectors.toList()); + List data23 = valueTypeList.stream().map(DataI::getI12).collect(Collectors.toList()); + List data24 = valueTypeList.stream().map(DataI::getI13).collect(Collectors.toList()); + List data25 = valueTypeList.stream().map(DataI::getI14).collect(Collectors.toList()); + List data26 = valueTypeList.stream().map(DataI::getI15).collect(Collectors.toList()); + List data27 = valueTypeList.stream().map(DataI::getI16).collect(Collectors.toList()); + List data28 = valueTypeList.stream().map(DataI::getI17).collect(Collectors.toList()); + List data29 = valueTypeList.stream().map(DataI::getI18).collect(Collectors.toList()); + List data30 = valueTypeList.stream().map(DataI::getI19).collect(Collectors.toList()); + List data31 = valueTypeList.stream().map(DataI::getI20).collect(Collectors.toList()); + List data32 = valueTypeList.stream().map(DataI::getI21).collect(Collectors.toList()); + List data33 = valueTypeList.stream().map(DataI::getI22).collect(Collectors.toList()); + List data34 = valueTypeList.stream().map(DataI::getI23).collect(Collectors.toList()); + List data35 = valueTypeList.stream().map(DataI::getI24).collect(Collectors.toList()); + List data36 = valueTypeList.stream().map(DataI::getI25).collect(Collectors.toList()); + List data37 = valueTypeList.stream().map(DataI::getI26).collect(Collectors.toList()); + List data38 = valueTypeList.stream().map(DataI::getI27).collect(Collectors.toList()); + List data39 = valueTypeList.stream().map(DataI::getI28).collect(Collectors.toList()); + List data40 = valueTypeList.stream().map(DataI::getI29).collect(Collectors.toList()); + List data41 = valueTypeList.stream().map(DataI::getI30).collect(Collectors.toList()); + List data42 = valueTypeList.stream().map(DataI::getI31).collect(Collectors.toList()); + List data43 = valueTypeList.stream().map(DataI::getI32).collect(Collectors.toList()); + List data44 = valueTypeList.stream().map(DataI::getI33).collect(Collectors.toList()); + List data45 = valueTypeList.stream().map(DataI::getI34).collect(Collectors.toList()); + List data46 = valueTypeList.stream().map(DataI::getI35).collect(Collectors.toList()); + List data47 = valueTypeList.stream().map(DataI::getI36).collect(Collectors.toList()); + List data48 = valueTypeList.stream().map(DataI::getI37).collect(Collectors.toList()); + List data49 = valueTypeList.stream().map(DataI::getI38).collect(Collectors.toList()); + List data50 = valueTypeList.stream().map(DataI::getI39).collect(Collectors.toList()); + List data51 = valueTypeList.stream().map(DataI::getI40).collect(Collectors.toList()); + List data52 = valueTypeList.stream().map(DataI::getI41).collect(Collectors.toList()); + List data53 = valueTypeList.stream().map(DataI::getI42).collect(Collectors.toList()); + List data54 = valueTypeList.stream().map(DataI::getI43).collect(Collectors.toList()); + List data55 = valueTypeList.stream().map(DataI::getI44).collect(Collectors.toList()); + List data56 = valueTypeList.stream().map(DataI::getI45).collect(Collectors.toList()); + List data57 = valueTypeList.stream().map(DataI::getI46).collect(Collectors.toList()); + List data58 = valueTypeList.stream().map(DataI::getI47).collect(Collectors.toList()); + List data59 = valueTypeList.stream().map(DataI::getI48).collect(Collectors.toList()); + List data60 = valueTypeList.stream().map(DataI::getI49).collect(Collectors.toList()); + List data61 = valueTypeList.stream().map(DataI::getI50).collect(Collectors.toList()); + + List> lists = Arrays.asList(data1,data2,data3,data4,data5,data6 + ,data12,data13,data14,data15,data16,data17,data18,data19,data20 + ,data21,data22,data23,data24,data25,data26,data27,data28,data29,data30 + ,data31,data32,data33,data34,data35,data36,data37,data38,data39,data40 + ,data41,data42,data43,data44,data45,data46,data47,data48,data49,data50 + ,data51,data52,data53,data54,data55,data56,data57,data58,data59,data60 + ,data61); + value.setValueList(lists); + valueTypes.add(value); + }); + type.setValueTypeList(valueTypes); + phasicTypes.add(type); + }); + dto.setPhasicTypeList(phasicTypes); + result.add(dto); + }); + } + return result; + } + + @Override + public void addList(List dataIDtoList) { + + } + + /** + * 按监测点集合、时间条件获取dataI分钟数据 + * timeMap参数来判断是否进行数据处理 timeMap为空则不进行数据处理 + * 需要进行剔除异常数据时,这里会有三种情况判断 + * 1.无异常数据，则直接返回集合； + * 2.异常数据和无异常数据参杂，剔除异常数据，只计算正常数据； + * 3.全是异常数据，则使用异常数据进行计算，但是日表中需要标记出来，此数据有异常 + */ + public List getMinuteDataI(List lineList, String startTime, String endTime, Map> timeMap) { + List result = new ArrayList<>(); + InfluxQueryWrapper influxQueryWrapper = new InfluxQueryWrapper(DataI.class); + influxQueryWrapper.samePrefixAndSuffix(InfluxDbSqlConstant.I, "", HarmonicTimesUtil.harmonicTimesList(1, 50, 1)); + influxQueryWrapper.regular(DataI::getLineId, lineList) + .select(DataI::getLineId) + .select(DataI::getPhasicType) + .select(DataI::getValueType) + .select(DataI::getINeg) + .select(DataI::getIPos) + .select(DataI::getIThd) + .select(DataI::getIUnbalance) + .select(DataI::getIZero) + .select(DataI::getRms) + .select(DataI::getQualityFlag) + .between(DataI::getTime, startTime, endTime) + .eq(DataI::getQualityFlag,"0"); + List list = dataIMapper.selectByQueryWrapper(influxQueryWrapper); + Map> lineMap = list.stream().collect(Collectors.groupingBy(DataI::getLineId)); + //有异常数据 + if (CollectionUtil.isNotEmpty(timeMap)) { + lineMap.forEach((k,v)->{ + List timeList = timeMap.get(k); + //有异常数据,当前监测点自身的异常数据 + if (CollectionUtil.isNotEmpty(timeList)) { + List filterList = v.stream().filter(item -> !timeList.contains(DATE_TIME_FORMATTER.format(item.getTime()))).collect(Collectors.toList()); + //1.过滤掉异常数据后还有正常数据，则用正常数据计算 + if (CollectionUtil.isNotEmpty(filterList)) { + result.addAll(filterList); + } + //2.过滤掉异常数据后没有正常数据，则用所有异常数据计算，但是需要标记数据为异常的 + else { + v.parallelStream().forEach(item -> item.setQualityFlag("1")); + result.addAll(v); + } + } + //没有异常数据，则使用原数据 + else { + result.addAll(v); + } + }); + } + //没有异常数据，则使用原数据 + else { + result.addAll(list); + } + return result; + } + } diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataInharmVImpl.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataInharmVImpl.java index c6f57d5..100dbe9 100644 --- a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataInharmVImpl.java +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataInharmVImpl.java @@ -1,17 +1,29 @@ package com.njcn.dataProcess.service.impl.influxdb; -import com.njcn.dataProcess.dto.DataInharmVDTO; +import cn.hutool.core.collection.CollectionUtil; +import com.njcn.common.utils.HarmonicTimesUtil; import com.njcn.dataProcess.dao.imapper.DataInharmVMapper; +import com.njcn.dataProcess.dto.DataInharmVDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.po.influx.DataI; import com.njcn.dataProcess.po.influx.DataInharmV; +import com.njcn.dataProcess.pojo.dto.DataHarmDto; import com.njcn.dataProcess.service.IDataInharmV; +import com.njcn.influx.constant.InfluxDbSqlConstant; +import com.njcn.influx.query.InfluxQueryWrapper; import lombok.RequiredArgsConstructor; import org.apache.commons.collections4.ListUtils; +import org.springframework.beans.BeanUtils; import org.springframework.stereotype.Service; +import java.time.ZoneId; +import java.time.format.DateTimeFormatter; import java.util.ArrayList; import java.util.List; +import java.util.Map; import java.util.stream.Collectors; + /** * Description: * Date: 2024/11/18 14:33【需求编号】 @@ -23,6 +35,8 @@ import java.util.stream.Collectors; @RequiredArgsConstructor public class InfluxdbDataInharmVImpl implements IDataInharmV { + private final DateTimeFormatter DATE_TIME_FORMATTER = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss").withZone(ZoneId.systemDefault()); + private final DataInharmVMapper dataInharmVMapper; @@ -43,4 +57,68 @@ public class InfluxdbDataInharmVImpl implements IDataInharmV { } } + + @Override + public List getRawData(LineCountEvaluateParam lineParam) { + List result = new ArrayList<>(); + List list = getMinuteData(lineParam.getLineId(), lineParam.getStartTime(), lineParam.getEndTime(), lineParam.getAbnormalTime()); + list.forEach(item->{ + DataHarmDto dto = new DataHarmDto(); + BeanUtils.copyProperties(item,dto); + dto.setMinTime(DATE_TIME_FORMATTER.format(item.getTime())); + result.add(dto); + }); + return result; + } + + /** + * 按监测点集合、时间条件获取dataI分钟数据 + * timeMap参数来判断是否进行数据处理 timeMap为空则不进行数据处理 + * 需要进行剔除异常数据时,这里会有三种情况判断 + * 1.无异常数据，则直接返回集合； + * 2.异常数据和无异常数据参杂，剔除异常数据，只计算正常数据； + * 3.全是异常数据，则使用异常数据进行计算，但是日表中需要标记出来，此数据有异常 + */ + public List getMinuteData(List lineList, String startTime, String endTime, Map> timeMap) { + List result = new ArrayList<>(); + InfluxQueryWrapper influxQueryWrapper = new InfluxQueryWrapper(DataInharmV.class); + influxQueryWrapper.samePrefixAndSuffix(InfluxDbSqlConstant.V, "", HarmonicTimesUtil.harmonicTimesList(1, 50, 1)); + influxQueryWrapper.regular(DataInharmV::getLineId, lineList) + .select(DataInharmV::getLineId) + .select(DataInharmV::getPhasicType) + .select(DataInharmV::getValueType) + .select(DataInharmV::getQualityFlag) + .between(DataI::getTime, startTime, endTime) + .eq(DataI::getQualityFlag,"0"); + List list = dataInharmVMapper.selectByQueryWrapper(influxQueryWrapper); + Map> lineMap = list.stream().collect(Collectors.groupingBy(DataInharmV::getLineId)); + //有异常数据 + if (CollectionUtil.isNotEmpty(timeMap)) { + lineMap.forEach((k,v)->{ + List timeList = timeMap.get(k); + //有异常数据,当前监测点自身的异常数据 + if (CollectionUtil.isNotEmpty(timeList)) { + List filterList = v.stream().filter(item -> !timeList.contains(DATE_TIME_FORMATTER.format(item.getTime()))).collect(Collectors.toList()); + //1.过滤掉异常数据后还有正常数据，则用正常数据计算 + if (CollectionUtil.isNotEmpty(filterList)) { + result.addAll(filterList); + } + //2.过滤掉异常数据后没有正常数据，则用所有异常数据计算，但是需要标记数据为异常的 + else { + v.parallelStream().forEach(item -> item.setQualityFlag("1")); + result.addAll(v); + } + } + //没有异常数据，则使用原数据 + else { + result.addAll(v); + } + }); + } + //没有异常数据，则使用原数据 + else { + result.addAll(list); + } + return result; + } } diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataPltImpl.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataPltImpl.java index 1f8f717..0a77ae4 100644 --- a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataPltImpl.java +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataPltImpl.java @@ -1,15 +1,26 @@ package com.njcn.dataProcess.service.impl.influxdb; -import com.njcn.dataProcess.dto.DataPltDTO; +import cn.hutool.core.collection.CollectionUtil; +import com.njcn.common.utils.HarmonicTimesUtil; import com.njcn.dataProcess.dao.imapper.DataPltMapper; +import com.njcn.dataProcess.dto.DataPltDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.po.influx.DataI; import com.njcn.dataProcess.po.influx.DataPlt; +import com.njcn.dataProcess.pojo.dto.DataPltDto; import com.njcn.dataProcess.service.IDataPlt; +import com.njcn.influx.constant.InfluxDbSqlConstant; +import com.njcn.influx.query.InfluxQueryWrapper; import lombok.RequiredArgsConstructor; import org.apache.commons.collections4.ListUtils; +import org.springframework.beans.BeanUtils; import org.springframework.stereotype.Service; +import java.time.ZoneId; +import java.time.format.DateTimeFormatter; import java.util.ArrayList; import java.util.List; +import java.util.Map; import java.util.stream.Collectors; /** @@ -23,8 +34,9 @@ import java.util.stream.Collectors; @RequiredArgsConstructor public class InfluxdbDataPltImpl implements IDataPlt { - private final DataPltMapper dataPltMapper; + private final DateTimeFormatter DATE_TIME_FORMATTER = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss").withZone(ZoneId.systemDefault()); + private final DataPltMapper dataPltMapper; @Override public void batchInsertion(List dataPltDTOList) { @@ -44,4 +56,68 @@ public class InfluxdbDataPltImpl implements IDataPlt { } } + + @Override + public List getRawData(LineCountEvaluateParam lineParam) { + List result = new ArrayList<>(); + List list = getMinuteDataPlt(lineParam.getLineId(), lineParam.getStartTime(), lineParam.getEndTime(), lineParam.getAbnormalTime()); + list.forEach(item->{ + DataPltDto dto = new DataPltDto(); + BeanUtils.copyProperties(item,dto); + dto.setMinTime(DATE_TIME_FORMATTER.format(item.getTime())); + result.add(dto); + }); + return result; + } + + /** + * 按监测点集合、时间条件获取dataI分钟数据 + * timeMap参数来判断是否进行数据处理 timeMap为空则不进行数据处理 + * 需要进行剔除异常数据时,这里会有三种情况判断 + * 1.无异常数据，则直接返回集合； + * 2.异常数据和无异常数据参杂，剔除异常数据，只计算正常数据； + * 3.全是异常数据，则使用异常数据进行计算，但是日表中需要标记出来，此数据有异常 + */ + public List getMinuteDataPlt(List lineList, String startTime, String endTime, Map> timeMap) { + List result = new ArrayList<>(); + InfluxQueryWrapper influxQueryWrapper = new InfluxQueryWrapper(DataPlt.class); + influxQueryWrapper.regular(DataPlt::getLineId, lineList) + .select(DataPlt::getLineId) + .select(DataPlt::getPhasicType) + .select(DataPlt::getPlt) + .select(DataPlt::getQualityFlag) + .between(DataPlt::getTime, startTime, endTime) + .eq(DataPlt::getQualityFlag,"0"); + List list = dataPltMapper.selectByQueryWrapper(influxQueryWrapper); + Map> lineMap = list.stream().collect(Collectors.groupingBy(DataPlt::getLineId)); + //有异常数据 + if (CollectionUtil.isNotEmpty(timeMap)) { + lineMap.forEach((k,v)->{ + List timeList = timeMap.get(k); + //有异常数据,当前监测点自身的异常数据 + if (CollectionUtil.isNotEmpty(timeList)) { + List filterList = v.stream().filter(item -> !timeList.contains(DATE_TIME_FORMATTER.format(item.getTime()))).collect(Collectors.toList()); + //1.过滤掉异常数据后还有正常数据，则用正常数据计算 + if (CollectionUtil.isNotEmpty(filterList)) { + result.addAll(filterList); + } + //2.过滤掉异常数据后没有正常数据，则用所有异常数据计算，但是需要标记数据为异常的 + else { + v.parallelStream().forEach(item -> item.setQualityFlag("1")); + result.addAll(v); + } + } + //没有异常数据，则使用原数据 + else { + result.addAll(v); + } + }); + } + //没有异常数据，则使用原数据 + else { + result.addAll(list); + } + return result; + } + } diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataVImpl.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataVImpl.java index f0b5a44..35afd90 100644 --- a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataVImpl.java +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataVImpl.java @@ -29,6 +29,7 @@ import java.time.LocalDateTime; import java.time.ZoneId; import java.time.format.DateTimeFormatter; import java.util.*; +import java.util.function.Function; import java.util.stream.Collectors; /** @@ -39,7 +40,7 @@ import java.util.stream.Collectors; @Service("InfluxdbDataVImpl") public class InfluxdbDataVImpl extends MppServiceImpl implements IDataV { - private final DateTimeFormatter DATE_TIME_FORMATTER = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss").withZone(ZoneId.systemDefault());; + private final DateTimeFormatter DATE_TIME_FORMATTER = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss").withZone(ZoneId.systemDefault()); @Resource private DataVMapper dataVMapper; @@ -119,7 +120,7 @@ public class InfluxdbDataVImpl extends MppServiceImpl getRawData(LineCountEvaluateParam lineParam) { List result = new ArrayList<>(); - List list = getMinuteDataV(lineParam.getLineId(), lineParam.getStartTime(), lineParam.getEndTime(), false); + List list = getMinuteDataV(lineParam.getLineId(), lineParam.getStartTime(), lineParam.getEndTime(), lineParam.getAbnormalTime()); list.forEach(item->{ DataVDto dto = new DataVDto(); BeanUtils.copyProperties(item,dto); @@ -132,7 +133,7 @@ public class InfluxdbDataVImpl extends MppServiceImpl getBaseData(LineCountEvaluateParam lineParam) { List result = new ArrayList<>(); - List dataVList = getMinuteDataV(lineParam.getLineId(), lineParam.getStartTime(), lineParam.getEndTime(),true); + List dataVList = getMinuteDataV(lineParam.getLineId(), lineParam.getStartTime(), lineParam.getEndTime(),lineParam.getAbnormalTime()); if (CollectionUtil.isNotEmpty(dataVList)) { String time = TimeUtils.StringTimeToString(lineParam.getStartTime()); //以监测点分组 @@ -141,6 +142,7 @@ public class InfluxdbDataVImpl extends MppServiceImpl> phasicTypeMap = lineList.stream().collect(Collectors.groupingBy(DataV::getPhasicType)); List phasicTypes = new ArrayList<>(); @@ -256,8 +258,14 @@ public class InfluxdbDataVImpl extends MppServiceImpl getMinuteDataV(List lineList, String startTime, String endTime, boolean clean) { + public List getMinuteDataV(List lineList, String startTime, String endTime, Map> timeMap) { + List result = new ArrayList<>(); InfluxQueryWrapper influxQueryWrapper = new InfluxQueryWrapper(DataV.class); influxQueryWrapper.samePrefixAndSuffix(InfluxDbSqlConstant.V, "", HarmonicTimesUtil.harmonicTimesList(1, 50, 1)); influxQueryWrapper.regular(DataV::getLineId, lineList) @@ -276,11 +284,38 @@ public class InfluxdbDataVImpl extends MppServiceImpl list = dataVMapper.selectByQueryWrapper(influxQueryWrapper); + Map> lineMap = list.stream().collect(Collectors.groupingBy(DataV::getLineId)); + //有异常数据 + if (CollectionUtil.isNotEmpty(timeMap)) { + lineMap.forEach((k,v)->{ + List timeList = timeMap.get(k); + //有异常数据,是自身异常数据 + if (CollectionUtil.isNotEmpty(timeList)) { + List filterList = v.stream().filter(item -> !timeList.contains(DATE_TIME_FORMATTER.format(item.getTime()))).collect(Collectors.toList()); + //1.过滤掉异常数据后还有正常数据，则用正常数据计算 + if (CollectionUtil.isNotEmpty(filterList)) { + result.addAll(filterList); + } + //2.过滤掉异常数据后没有正常数据，则用所有异常数据计算，但是需要标记数据为异常的 + else { + v.parallelStream().forEach(item -> item.setQualityFlag("1")); + result.addAll(v); + } + } + //没有异常数据，则使用原数据 + else { + result.addAll(v); + } + }); } - return dataVMapper.selectByQueryWrapper(influxQueryWrapper); + //没有异常数据，则使用原数据 + else { + result.addAll(list); + } + return result; } } diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/PqDataVerifyServiceImpl.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/PqDataVerifyServiceImpl.java new file mode 100644 index 0000000..abd3f96 --- /dev/null +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/PqDataVerifyServiceImpl.java @@ -0,0 +1,46 @@ +package com.njcn.dataProcess.service.impl.relation; + +import cn.hutool.core.collection.CollUtil; +import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper; +import com.github.jeffreyning.mybatisplus.service.MppServiceImpl; +import com.njcn.dataProcess.dao.relation.mapper.PqDataVerifyMapper; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.pojo.po.PqDataVerify; +import com.njcn.dataProcess.service.IPqDataVerifyService; +import org.springframework.stereotype.Service; +import org.springframework.transaction.annotation.Transactional; + +import java.util.List; +import java.util.Objects; + +/** + *

+ * 服务实现类 + *

+ * + * @author xy + * @since 2025-02-17 + */ +@Service +public class PqDataVerifyServiceImpl extends MppServiceImpl implements IPqDataVerifyService { + + @Override + @Transactional(rollbackFor = Exception.class) + public void insertData(List list) { + this.saveOrUpdateBatchByMultiId(list); + } + + @Override + public List queryData(LineCountEvaluateParam param) { + LambdaQueryWrapper queryWrapper = new LambdaQueryWrapper<>(); + queryWrapper.between(PqDataVerify::getTime,param.getStartTime(),param.getEndTime()); + if (CollUtil.isNotEmpty(param.getLineId())) { + queryWrapper.in(PqDataVerify::getLineId,param.getLineId()); + } + if (!Objects.isNull(param.getTableName())) { + queryWrapper.eq(PqDataVerify::getIndexTable, param.getTableName()); + } + return this.list(queryWrapper); + } + +} diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/PqReasonableRangeServiceImpl.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/PqReasonableRangeServiceImpl.java new file mode 100644 index 0000000..c07b277 --- /dev/null +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/PqReasonableRangeServiceImpl.java @@ -0,0 +1,46 @@ +package com.njcn.dataProcess.service.impl.relation; + +import cn.hutool.core.collection.CollUtil; +import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper; +import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl; +import com.njcn.dataProcess.dao.relation.mapper.PqReasonableRangeMapper; +import com.njcn.dataProcess.param.DataCleanParam; +import com.njcn.dataProcess.pojo.dto.PqReasonableRangeDto; +import com.njcn.dataProcess.pojo.po.PqReasonableRange; +import com.njcn.dataProcess.service.IPqReasonableRangeService; +import org.springframework.beans.BeanUtils; +import org.springframework.stereotype.Service; + +import java.util.ArrayList; +import java.util.List; + +/** + *

+ * 服务实现类 + *

+ * + * @author xy + * @since 2025-02-13 + */ +@Service +public class PqReasonableRangeServiceImpl extends ServiceImpl implements IPqReasonableRangeService { + + @Override + public List getReasonableRangeList(DataCleanParam param) { + List result = new ArrayList<>(); + LambdaQueryWrapper queryWrapper = new LambdaQueryWrapper<>(); + queryWrapper.eq(PqReasonableRange::getBelongingSystem,param.getSystemType()) + .eq(PqReasonableRange::getDataSource,param.getDataSource()) + .eq(PqReasonableRange::getInfluxdbTableName,param.getTableName()) + .eq(PqReasonableRange::getState,1); + List list = this.list(queryWrapper); + if (CollUtil.isNotEmpty(list)) { + list.forEach(item->{ + PqReasonableRangeDto dto = new PqReasonableRangeDto(); + BeanUtils.copyProperties(item,dto); + result.add(dto); + }); + } + return result; + } +} diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataFlickerImpl.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataFlickerImpl.java index 229fa63..d9a8c73 100644 --- a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataFlickerImpl.java +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataFlickerImpl.java @@ -1,16 +1,25 @@ package com.njcn.dataProcess.service.impl.relation; -import com.njcn.dataProcess.dto.DataFlickerDTO; - +import com.github.jeffreyning.mybatisplus.service.MppServiceImpl; import com.njcn.dataProcess.dao.relation.mapper.DataFlickerRelationMapper; +import com.njcn.dataProcess.dao.relation.mapper.RStatDataFlickerRelationMapper; +import com.njcn.dataProcess.dto.DataFlickerDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; import com.njcn.dataProcess.po.relation.DataFlicker; +import com.njcn.dataProcess.pojo.dto.CommonMinuteDto; +import com.njcn.dataProcess.pojo.dto.DataFlickerDto; +import com.njcn.dataProcess.pojo.po.RStatDataFlickerD; import com.njcn.dataProcess.service.IDataFlicker; import com.njcn.dataProcess.util.BeanFeildUtils; +import com.njcn.dataProcess.util.TimeUtils; import lombok.RequiredArgsConstructor; import org.apache.commons.collections4.ListUtils; import org.springframework.beans.BeanUtils; import org.springframework.stereotype.Service; +import javax.annotation.Resource; +import java.util.ArrayList; +import java.util.Collections; import java.util.List; import java.util.stream.Collectors; @@ -23,9 +32,12 @@ import java.util.stream.Collectors; */ @Service("RelationDataFlickerImpl") @RequiredArgsConstructor -public class RelationDataFlickerImpl implements IDataFlicker { +public class RelationDataFlickerImpl extends MppServiceImpl implements IDataFlicker { private final DataFlickerRelationMapper dataFlickerRelationMapper; + @Resource + private IDataFlicker dataFlicker; + @Override public void batchInsertion(List dataFlickerDTOList) { int totalCount = dataFlickerDTOList.size(); @@ -53,4 +65,28 @@ public class RelationDataFlickerImpl implements IDataFlicker { } } + + @Override + public List getRawData(LineCountEvaluateParam lineParam) { + return Collections.emptyList(); + } + + @Override + public List getBaseData(LineCountEvaluateParam lineParam) { + return Collections.emptyList(); + } + + @Override + public void addList(List dataIDtoList) { + List result = new ArrayList<>(); + dataIDtoList.forEach(item->{ + RStatDataFlickerD data = new RStatDataFlickerD(); + data.setTime(TimeUtils.LocalDataTimeToLocalDate2(item.getTime())); + data.setPhasicType(item.getPhasicType()); + data.setQualityFlag(Integer.valueOf(item.getQualityFlag())); + BeanUtils.copyProperties(item, data); + result.add(data); + }); + dataFlicker.saveOrUpdateBatchByMultiId(result); + } } diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataFlucImpl.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataFlucImpl.java index d51c19b..a394e2a 100644 --- a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataFlucImpl.java +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataFlucImpl.java @@ -1,16 +1,25 @@ package com.njcn.dataProcess.service.impl.relation; -import com.njcn.dataProcess.dto.DataFlucDTO; - +import com.github.jeffreyning.mybatisplus.service.MppServiceImpl; import com.njcn.dataProcess.dao.relation.mapper.DataFlucRelationMapper; +import com.njcn.dataProcess.dao.relation.mapper.RStatDataFlucRelationMapper; +import com.njcn.dataProcess.dto.DataFlucDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; import com.njcn.dataProcess.po.relation.DataFluc; +import com.njcn.dataProcess.pojo.dto.CommonMinuteDto; +import com.njcn.dataProcess.pojo.dto.DataFlucDto; +import com.njcn.dataProcess.pojo.po.RStatDataFlucD; import com.njcn.dataProcess.service.IDataFluc; import com.njcn.dataProcess.util.BeanFeildUtils; +import com.njcn.dataProcess.util.TimeUtils; import lombok.RequiredArgsConstructor; import org.apache.commons.collections4.ListUtils; import org.springframework.beans.BeanUtils; import org.springframework.stereotype.Service; +import javax.annotation.Resource; +import java.util.ArrayList; +import java.util.Collections; import java.util.List; import java.util.stream.Collectors; @@ -23,8 +32,11 @@ import java.util.stream.Collectors; */ @Service("RelationDataFlucImpl") @RequiredArgsConstructor -public class RelationDataFlucImpl implements IDataFluc { +public class RelationDataFlucImpl extends MppServiceImpl implements IDataFluc { private final DataFlucRelationMapper dataFlucRelationMapper; + + @Resource + private IDataFluc dataFluc; @Override public void batchInsertion(List dataFlucDTOList) { int totalCount = dataFlucDTOList.size(); @@ -43,5 +55,31 @@ public class RelationDataFlucImpl implements IDataFluc { dataFlucRelationMapper.insertBatchSomeColumn(dataFlucList); } - }; + } + + @Override + public List getRawData(LineCountEvaluateParam lineParam) { + return Collections.emptyList(); + } + + @Override + public List getBaseData(LineCountEvaluateParam lineParam) { + return Collections.emptyList(); + } + + @Override + public void addList(List dataFlucDtoList) { + List result = new ArrayList<>(); + dataFlucDtoList.forEach(item->{ + RStatDataFlucD data = new RStatDataFlucD(); + data.setTime(TimeUtils.LocalDataTimeToLocalDate2(item.getTime())); + data.setPhasicType(item.getPhasicType()); + data.setQualityFlag(Integer.valueOf(item.getQualityFlag())); + BeanUtils.copyProperties(item, data); + result.add(data); + }); + dataFluc.saveOrUpdateBatchByMultiId(result); + } + + ; } diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataHarmRateVImpl.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataHarmRateVImpl.java new file mode 100644 index 0000000..c620edf --- /dev/null +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataHarmRateVImpl.java @@ -0,0 +1,28 @@ +package com.njcn.dataProcess.service.impl.relation; + +import com.njcn.dataProcess.dao.relation.mapper.DataIRelationMapper; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.pojo.dto.DataHarmDto; +import com.njcn.dataProcess.service.IDataHarmRateV; +import lombok.RequiredArgsConstructor; +import org.springframework.stereotype.Service; + +import javax.annotation.Resource; +import java.util.Collections; +import java.util.List; + +/** + * @author xy + */ +@Service("RelationDataHarmRateVImpl") +@RequiredArgsConstructor +public class RelationDataHarmRateVImpl implements IDataHarmRateV { + + @Resource + private DataIRelationMapper dataIRelationMapper; + + @Override + public List getRawData(LineCountEvaluateParam lineParam) { + return Collections.emptyList(); + } +} diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataHarmphasicIImpl.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataHarmphasicIImpl.java index 76d4153..499dd13 100644 --- a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataHarmphasicIImpl.java +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataHarmphasicIImpl.java @@ -1,16 +1,25 @@ package com.njcn.dataProcess.service.impl.relation; -import com.njcn.dataProcess.dto.DataHarmphasicIDTO; - +import com.github.jeffreyning.mybatisplus.service.MppServiceImpl; import com.njcn.dataProcess.dao.relation.mapper.DataHarmphasicIRelationMapper; +import com.njcn.dataProcess.dao.relation.mapper.RStatDataHarmPhasicIRelationMapper; +import com.njcn.dataProcess.dto.DataHarmphasicIDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; import com.njcn.dataProcess.po.relation.DataHarmphasicI; +import com.njcn.dataProcess.pojo.dto.CommonMinuteDto; +import com.njcn.dataProcess.pojo.dto.DataHarmPhasicIDto; +import com.njcn.dataProcess.pojo.po.RStatDataHarmPhasicID; import com.njcn.dataProcess.service.IDataHarmphasicI; import com.njcn.dataProcess.util.BeanFeildUtils; +import com.njcn.dataProcess.util.TimeUtils; import lombok.RequiredArgsConstructor; import org.apache.commons.collections4.ListUtils; import org.springframework.beans.BeanUtils; import org.springframework.stereotype.Service; +import javax.annotation.Resource; +import java.util.ArrayList; +import java.util.Collections; import java.util.List; import java.util.stream.Collectors; @@ -23,10 +32,13 @@ import java.util.stream.Collectors; */ @Service("RelationDataHarmphasicIImpl") @RequiredArgsConstructor -public class RelationDataHarmphasicIImpl implements IDataHarmphasicI { +public class RelationDataHarmphasicIImpl extends MppServiceImpl implements IDataHarmphasicI { private final DataHarmphasicIRelationMapper dataHarmphasicIRelationMapper; + @Resource + private IDataHarmphasicI dataHarmphasicI; + @Override public void batchInsertion(List dataHarmphasicIDTOList) { int totalCount = dataHarmphasicIDTOList.size(); @@ -54,4 +66,23 @@ public class RelationDataHarmphasicIImpl implements IDataHarmphasicI { } } + + @Override + public List getBaseData(LineCountEvaluateParam lineParam) { + return Collections.emptyList(); + } + + @Override + public void addList(List list) { + List result = new ArrayList<>(); + list.forEach(item->{ + RStatDataHarmPhasicID data = new RStatDataHarmPhasicID(); + data.setTime(TimeUtils.LocalDataTimeToLocalDate2(item.getTime())); + data.setPhasicType(item.getPhasicType()); + data.setQualityFlag(Integer.valueOf(item.getQualityFlag())); + BeanUtils.copyProperties(item, data); + result.add(data); + }); + dataHarmphasicI.saveOrUpdateBatchByMultiId(result); + } } diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataHarmphasicVImpl.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataHarmphasicVImpl.java index 2f06718..a580abb 100644 --- a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataHarmphasicVImpl.java +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataHarmphasicVImpl.java @@ -1,15 +1,26 @@ package com.njcn.dataProcess.service.impl.relation; -import com.njcn.dataProcess.dto.DataHarmphasicVDTO; +import com.github.jeffreyning.mybatisplus.service.MppServiceImpl; import com.njcn.dataProcess.dao.relation.mapper.DataHarmphasicVRelationMapper; +import com.njcn.dataProcess.dao.relation.mapper.RStatDataHarmPhasicVRelationMapper; +import com.njcn.dataProcess.dto.DataHarmphasicVDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; import com.njcn.dataProcess.po.relation.DataHarmphasicV; +import com.njcn.dataProcess.pojo.dto.CommonMinuteDto; +import com.njcn.dataProcess.pojo.dto.DataHarmDto; +import com.njcn.dataProcess.pojo.dto.DataHarmPhasicVDto; +import com.njcn.dataProcess.pojo.po.RStatDataHarmPhasicVD; import com.njcn.dataProcess.service.IDataHarmphasicV; import com.njcn.dataProcess.util.BeanFeildUtils; +import com.njcn.dataProcess.util.TimeUtils; import lombok.RequiredArgsConstructor; import org.apache.commons.collections4.ListUtils; import org.springframework.beans.BeanUtils; import org.springframework.stereotype.Service; +import javax.annotation.Resource; +import java.util.ArrayList; +import java.util.Collections; import java.util.List; import java.util.stream.Collectors; @@ -22,8 +33,12 @@ import java.util.stream.Collectors; */ @Service("RelationDataHarmphasicVImpl") @RequiredArgsConstructor -public class RelationDataHarmphasicVImpl implements IDataHarmphasicV { +public class RelationDataHarmphasicVImpl extends MppServiceImpl implements IDataHarmphasicV { + private final DataHarmphasicVRelationMapper dataHarmphasicVRelationMapper; + @Resource + private IDataHarmphasicV dataHarmphasicV; + @Override public void batchInsertion(List dataHarmphasicVDTOList) { int totalCount = dataHarmphasicVDTOList.size(); @@ -50,5 +65,29 @@ public class RelationDataHarmphasicVImpl implements IDataHarmphasicV { } } + @Override + public List getRawData(LineCountEvaluateParam lineParam) { + return Collections.emptyList(); + } + + @Override + public List getBaseData(LineCountEvaluateParam lineParam) { + return Collections.emptyList(); + } + + @Override + public void addList(List list) { + List result = new ArrayList<>(); + list.forEach(item->{ + RStatDataHarmPhasicVD data = new RStatDataHarmPhasicVD(); + data.setTime(TimeUtils.LocalDataTimeToLocalDate2(item.getTime())); + data.setPhasicType(item.getPhasicType()); + data.setQualityFlag(Integer.valueOf(item.getQualityFlag())); + BeanUtils.copyProperties(item, data); + result.add(data); + }); + dataHarmphasicV.saveOrUpdateBatchByMultiId(result); + } + } diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataHarmpowerPImpl.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataHarmpowerPImpl.java index e040f26..a8595bd 100644 --- a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataHarmpowerPImpl.java +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataHarmpowerPImpl.java @@ -1,16 +1,26 @@ package com.njcn.dataProcess.service.impl.relation; -import com.njcn.dataProcess.dto.DataHarmpowerPDTO; - +import com.github.jeffreyning.mybatisplus.service.MppServiceImpl; import com.njcn.dataProcess.dao.relation.mapper.DataHarmpowerPRelationMapper; +import com.njcn.dataProcess.dao.relation.mapper.RStatDataHarmPowerPRelationMapper; +import com.njcn.dataProcess.dto.DataHarmpowerPDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; import com.njcn.dataProcess.po.relation.DataHarmpowerP; +import com.njcn.dataProcess.pojo.dto.CommonMinuteDto; +import com.njcn.dataProcess.pojo.dto.DataHarmPowerPDto; +import com.njcn.dataProcess.pojo.dto.DataPowerPDto; +import com.njcn.dataProcess.pojo.po.RStatDataHarmPowerPD; import com.njcn.dataProcess.service.IDataHarmpowerP; import com.njcn.dataProcess.util.BeanFeildUtils; +import com.njcn.dataProcess.util.TimeUtils; import lombok.RequiredArgsConstructor; import org.apache.commons.collections4.ListUtils; import org.springframework.beans.BeanUtils; import org.springframework.stereotype.Service; +import javax.annotation.Resource; +import java.util.ArrayList; +import java.util.Collections; import java.util.List; import java.util.stream.Collectors; @@ -23,9 +33,11 @@ import java.util.stream.Collectors; */ @Service("RelationDataHarmpowerPImpl") @RequiredArgsConstructor -public class RelationDataHarmpowerPImpl implements IDataHarmpowerP { +public class RelationDataHarmpowerPImpl extends MppServiceImpl implements IDataHarmpowerP { private final DataHarmpowerPRelationMapper dataHarmpowerPRelationMapper; + @Resource + private IDataHarmpowerP dataHarmPowerP; @Override public void batchInsertion(List dataHarmpowerPDTOList) { @@ -53,4 +65,28 @@ public class RelationDataHarmpowerPImpl implements IDataHarmpowerP { } } + + @Override + public List getRawData(LineCountEvaluateParam lineParam) { + return Collections.emptyList(); + } + + @Override + public List getBaseData(LineCountEvaluateParam lineParam) { + return Collections.emptyList(); + } + + @Override + public void addList(List list) { + List result = new ArrayList<>(); + list.forEach(item->{ + RStatDataHarmPowerPD data = new RStatDataHarmPowerPD(); + data.setTime(TimeUtils.LocalDataTimeToLocalDate2(item.getTime())); + data.setPhasicType(item.getPhasicType()); + data.setQualityFlag(Integer.valueOf(item.getQualityFlag())); + BeanUtils.copyProperties(item, data); + result.add(data); + }); + dataHarmPowerP.saveOrUpdateBatchByMultiId(result); + } } diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataHarmpowerQImpl.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataHarmpowerQImpl.java index 944615f..57cb849 100644 --- a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataHarmpowerQImpl.java +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataHarmpowerQImpl.java @@ -1,16 +1,26 @@ package com.njcn.dataProcess.service.impl.relation; -import com.njcn.dataProcess.dto.DataHarmpowerQDTO; -import com.njcn.dataProcess.po.relation.DataHarmpowerQ; +import com.github.jeffreyning.mybatisplus.service.MppServiceImpl; import com.njcn.dataProcess.dao.relation.mapper.DataHarmpowerQRelationMapper; +import com.njcn.dataProcess.dao.relation.mapper.RStatDataHarmPowerQRelationMapper; +import com.njcn.dataProcess.dto.DataHarmpowerQDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; +import com.njcn.dataProcess.po.relation.DataHarmpowerQ; +import com.njcn.dataProcess.pojo.dto.CommonMinuteDto; +import com.njcn.dataProcess.pojo.dto.DataHarmPowerQDto; +import com.njcn.dataProcess.pojo.po.RStatDataHarmPowerQD; import com.njcn.dataProcess.service.IDataHarmpowerQ; import com.njcn.dataProcess.util.BeanFeildUtils; +import com.njcn.dataProcess.util.TimeUtils; import lombok.RequiredArgsConstructor; import lombok.extern.slf4j.Slf4j; import org.apache.commons.collections4.ListUtils; import org.springframework.beans.BeanUtils; import org.springframework.stereotype.Service; +import javax.annotation.Resource; +import java.util.ArrayList; +import java.util.Collections; import java.util.List; import java.util.stream.Collectors; @@ -24,8 +34,10 @@ import java.util.stream.Collectors; @Service("RelationDataHarmpowerQImpl") @RequiredArgsConstructor @Slf4j -public class RelationDataHarmpowerQImpl implements IDataHarmpowerQ { +public class RelationDataHarmpowerQImpl extends MppServiceImpl implements IDataHarmpowerQ { private final DataHarmpowerQRelationMapper dataHarmpowerQRelationMapper; + @Resource + private IDataHarmpowerQ dataHarmpowerQ; @Override public void batchInsertion(List dataHarmpowerQDTOList) { int totalCount = dataHarmpowerQDTOList.size(); @@ -56,4 +68,23 @@ public class RelationDataHarmpowerQImpl implements IDataHarmpowerQ { } + + @Override + public List getBaseData(LineCountEvaluateParam lineParam) { + return Collections.emptyList(); + } + + @Override + public void addList(List list) { + List result = new ArrayList<>(); + list.forEach(item->{ + RStatDataHarmPowerQD data = new RStatDataHarmPowerQD(); + data.setTime(TimeUtils.LocalDataTimeToLocalDate2(item.getTime())); + data.setPhasicType(item.getPhasicType()); + data.setQualityFlag(Integer.valueOf(item.getQualityFlag())); + BeanUtils.copyProperties(item, data); + result.add(data); + }); + dataHarmpowerQ.saveOrUpdateBatchByMultiId(result); + } } diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataIImpl.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataIImpl.java index 4c9a1e5..2ea5656 100644 --- a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataIImpl.java +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataIImpl.java @@ -1,17 +1,25 @@ package com.njcn.dataProcess.service.impl.relation; -import com.njcn.dataProcess.dto.DataIDTO; - +import com.github.jeffreyning.mybatisplus.service.MppServiceImpl; import com.njcn.dataProcess.dao.relation.mapper.DataIRelationMapper; +import com.njcn.dataProcess.dao.relation.mapper.RStatDataIRelationMapper; +import com.njcn.dataProcess.dto.DataIDTO; +import com.njcn.dataProcess.param.LineCountEvaluateParam; import com.njcn.dataProcess.po.relation.DataI; +import com.njcn.dataProcess.pojo.dto.CommonMinuteDto; +import com.njcn.dataProcess.pojo.dto.DataIDto; +import com.njcn.dataProcess.pojo.po.RStatDataID; import com.njcn.dataProcess.service.IDataI; import com.njcn.dataProcess.util.BeanFeildUtils; +import com.njcn.dataProcess.util.TimeUtils; import lombok.RequiredArgsConstructor; import org.apache.commons.collections4.ListUtils; import org.springframework.beans.BeanUtils; import org.springframework.stereotype.Service; import javax.annotation.Resource; +import java.util.ArrayList; +import java.util.Collections; import java.util.List; import java.util.stream.Collectors; @@ -24,9 +32,14 @@ import java.util.stream.Collectors; */ @Service("RelationDataIImpl") @RequiredArgsConstructor -public class RelationDataIImpl implements IDataI { +public class RelationDataIImpl extends MppServiceImpl implements IDataI { @Resource private DataIRelationMapper dataIRelationMapper; + + @Resource + private IDataI iDataI; + + @Override public void batchInsertion(List dataIDTOList) { int totalCount = dataIDTOList.size(); @@ -51,4 +64,28 @@ public class RelationDataIImpl implements IDataI { dataIRelationMapper.insertBatchSomeColumn(dataIList); } } + + @Override + public List getRawData(LineCountEvaluateParam lineParam) { + return Collections.emptyList(); + } + + @Override + public List getBaseData(LineCountEvaluateParam lineParam) { + return Collections.emptyList(); + } + + @Override + public void addList(List dataIDtoList) { + List result = new ArrayList<>(); + dataIDtoList.forEach(item->{ + RStatDataID dataI = new RStatDataID(); + dataI.setTime(TimeUtils.LocalDataTimeToLocalDate2(item.getTime())); + dataI.setPhasicType(item.getPhasicType()); + dataI.setQualityFlag(Integer.valueOf(item.getQualityFlag())); + BeanUtils.copyProperties(item, dataI); + result.add(dataI); + }); + iDataI.saveOrUpdateBatchByMultiId(result); + } } diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataInharmVImpl.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataInharmVImpl.java index 742ab2e..ff33e6d 100644 --- a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataInharmVImpl.java +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataInharmVImpl.java @@ -3,7 +3,9 @@ package com.njcn.dataProcess.service.impl.relation; import com.njcn.dataProcess.dto.DataInharmVDTO; import com.njcn.dataProcess.dao.relation.mapper.DataVInharmVRelationMapper; +import com.njcn.dataProcess.param.LineCountEvaluateParam; import com.njcn.dataProcess.po.relation.DataInharmV; +import com.njcn.dataProcess.pojo.dto.DataHarmDto; import com.njcn.dataProcess.service.IDataInharmV; import com.njcn.dataProcess.util.BeanFeildUtils; import lombok.RequiredArgsConstructor; @@ -11,6 +13,7 @@ import org.apache.commons.collections4.ListUtils; import org.springframework.beans.BeanUtils; import org.springframework.stereotype.Service; +import java.util.Collections; import java.util.List; import java.util.stream.Collectors; @@ -51,4 +54,9 @@ public class RelationDataInharmVImpl implements IDataInharmV { } } + + @Override + public List getRawData(LineCountEvaluateParam lineParam) { + return Collections.emptyList(); + } } diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataPltImpl.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataPltImpl.java index 27f95a5..ca02ea2 100644 --- a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataPltImpl.java +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataPltImpl.java @@ -3,7 +3,9 @@ package com.njcn.dataProcess.service.impl.relation; import com.njcn.dataProcess.dto.DataPltDTO; import com.njcn.dataProcess.dao.relation.mapper.DataPltRelationMapper; +import com.njcn.dataProcess.param.LineCountEvaluateParam; import com.njcn.dataProcess.po.relation.DataPlt; +import com.njcn.dataProcess.pojo.dto.DataPltDto; import com.njcn.dataProcess.service.IDataPlt; import com.njcn.dataProcess.util.BeanFeildUtils; import lombok.RequiredArgsConstructor; @@ -11,6 +13,7 @@ import org.apache.commons.collections4.ListUtils; import org.springframework.beans.BeanUtils; import org.springframework.stereotype.Service; +import java.util.Collections; import java.util.List; import java.util.stream.Collectors; @@ -51,4 +54,9 @@ public class RelationDataPltImpl implements IDataPlt { dataPltRelationMapper.insertBatchSomeColumn(dataPltList); } } + + @Override + public List getRawData(LineCountEvaluateParam lineParam) { + return Collections.emptyList(); + } } diff --git a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataVImpl.java b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataVImpl.java index a358876..1bbbfbb 100644 --- a/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataVImpl.java +++ b/data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataVImpl.java @@ -2,6 +2,7 @@ package com.njcn.dataProcess.service.impl.relation; import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper; import com.github.jeffreyning.mybatisplus.service.MppServiceImpl; +import com.njcn.dataProcess.annotation.InsertBean; import com.njcn.dataProcess.dao.relation.mapper.DataVRelationMapper; import com.njcn.dataProcess.dao.relation.mapper.RStatDataVRelationMapper; import com.njcn.dataProcess.dto.DataVDTO; @@ -20,6 +21,7 @@ import org.springframework.beans.BeanUtils; import org.springframework.stereotype.Service; import javax.annotation.Resource; +import java.lang.reflect.Field; import java.time.LocalDateTime; import java.util.ArrayList; import java.util.Collections; @@ -37,8 +39,10 @@ import java.util.stream.Collectors; public class RelationDataVImpl extends MppServiceImpl implements IDataV { @Resource private DataVRelationMapper dataVRelationMapper; + @Resource private IDataV iDataV; + @Override public Map> getLineCountEvaluate(LineCountEvaluateParam lineParam) { @@ -100,10 +104,11 @@ public class RelationDataVImpl extends MppServiceImpl