dataV原始数据数据清洗

algorithm/algorithm-boot/src/main/java/com/njcn/algorithm/executor/MeasurementExecutor.java

@@ -1,6 +1,7 @@
 package com.njcn.algorithm.executor;
 
-import com.njcn.algorithm.service.line.DayDataService;
+import com.njcn.algorithm.service.line.IDataCleanService;
+import com.njcn.algorithm.service.line.IDayDataService;
 import com.yomahub.liteflow.annotation.LiteflowComponent;
 import com.yomahub.liteflow.annotation.LiteflowMethod;
 import com.yomahub.liteflow.core.NodeComponent;
@@ -23,12 +24,26 @@ import javax.annotation.Resource;
 public class MeasurementExecutor extends BaseExecutor {
 
     @Resource
-    private DayDataService dayDataService;
+    private IDayDataService dayDataService;
+    @Resource
+    private IDataCleanService dataCleanService;
 
-    /********************************************算法负责人:xy***********************************************************/
     /**
-     * 算法名: 3.4.1.1-----监测点报表_日表(r_stat_data_*_d)
+     * 数据清洗（dataV）
-     * @author xuyang
+     * @author xy
+     */
+    @LiteflowMethod(value = LiteFlowMethodEnum.IS_ACCESS, nodeId = "dataVClean", nodeType = NodeTypeEnum.COMMON)
+    public boolean dataVCleanAccess(NodeComponent bindCmp) {
+        return isAccess(bindCmp);
+    }
+    @LiteflowMethod(value = LiteFlowMethodEnum.PROCESS, nodeId = "dataVClean", nodeType = NodeTypeEnum.COMMON)
+    public void dataVCleanProcess(NodeComponent bindCmp) {
+        dataCleanService.dataVCleanHandler(bindCmp.getRequestData());
+    }
+
+    /**
+     * 监测点报表_日表(r_stat_data_*_d)
+     * @author xy
      */
     @LiteflowMethod(value = LiteFlowMethodEnum.IS_ACCESS, nodeId = "dataV", nodeType = NodeTypeEnum.COMMON)
     public boolean dataVToDayAccess(NodeComponent bindCmp) {
@@ -39,7 +54,4 @@ public class MeasurementExecutor extends BaseExecutor {
         dayDataService.dataVHandler(bindCmp.getRequestData());
     }
 
-
-
-    /********************************************算法负责人:xy结束***********************************************************/
 }

algorithm/algorithm-boot/src/main/java/com/njcn/algorithm/service/line/IDataCleanService.java

@@ -0,0 +1,17 @@
+package com.njcn.algorithm.service.line;
+
+import com.njcn.algorithm.pojo.bo.CalculatedParam;
+
+/**
+ * @author xy
+ */
+public interface IDataCleanService {
+
+    /***
+     * dataV数据清洗
+     * @author xy
+     * @param calculatedParam 查询条件
+     */
+    void dataVCleanHandler(CalculatedParam calculatedParam);
+
+}

algorithm/algorithm-boot/src/main/java/com/njcn/algorithm/service/line/IDayDataService.java

@@ -5,7 +5,7 @@ import com.njcn.algorithm.pojo.bo.CalculatedParam;
 /**
  * @author xy
  */
-public interface DayDataService {
+public interface IDayDataService {
 
 
     /***

algorithm/algorithm-boot/src/main/java/com/njcn/algorithm/serviceimpl/line/DataCleanServiceImpl.java

@@ -0,0 +1,56 @@
+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.param.LineCountEvaluateParam;
+import com.njcn.dataProcess.pojo.dto.DataVDto;
+import com.njcn.dataProcess.util.TimeUtils;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.apache.commons.collections4.ListUtils;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+import org.springframework.stereotype.Component;
+
+import javax.annotation.Resource;
+import java.util.ArrayList;
+import java.util.List;
+
+/**
+ * @author xy
+ */
+@Slf4j
+@Component
+@RequiredArgsConstructor
+public class DataCleanServiceImpl implements IDataCleanService {
+
+    private static final Logger logger = LoggerFactory.getLogger(DataCleanServiceImpl.class);
+    private final static Integer NUM = 100;
+
+    @Resource
+    private DataVFeignClient dataVFeignClient;
+
+    @Override
+    public void dataVCleanHandler(CalculatedParam calculatedParam) {
+        List<DataVDto> result = new ArrayList<>();
+        LineCountEvaluateParam lineParam = new LineCountEvaluateParam();
+        lineParam.setStartTime(TimeUtils.getBeginOfDay(calculatedParam.getDataDate()));
+        lineParam.setEndTime(TimeUtils.getEndOfDay(calculatedParam.getDataDate()));
+        List<List<String>> pendingIds = ListUtils.partition(calculatedParam.getIdList(),NUM);
+        pendingIds.forEach(list->{
+            lineParam.setLineId(list);
+            List<DataVDto> partList = dataVFeignClient.getRawData(lineParam).getData();
+            if (CollUtil.isNotEmpty(partList)) {
+                partList.forEach(item->{
+                    item.setAbnormalFlag(0);
+                });
+                result.addAll(partList);
+            }
+        });
+        if (CollUtil.isNotEmpty(result)) {
+            dataVFeignClient.addInfluxDbList(result);
+        }
+    }
+}

algorithm/algorithm-boot/src/main/java/com/njcn/algorithm/serviceimpl/line/DayDataServiceImpl.java

@@ -2,7 +2,7 @@ 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.DayDataService;
+import com.njcn.algorithm.service.line.IDayDataService;
 import com.njcn.dataProcess.api.DataVFeignClient;
 import com.njcn.dataProcess.param.LineCountEvaluateParam;
 import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
@@ -26,7 +26,7 @@ import java.util.*;
 @Slf4j
 @Component
 @RequiredArgsConstructor
-public class DayDataServiceImpl implements DayDataService {
+public class DayDataServiceImpl implements IDayDataService {
 
     private static final Logger logger = LoggerFactory.getLogger(DayDataServiceImpl.class);
     private final static Integer NUM = 100;
@@ -54,15 +54,14 @@ public class DayDataServiceImpl implements DayDataService {
                         //数据类型
                         List<CommonMinuteDto.ValueType> 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);
+                        CommonMinuteDto.ValueType valueTypes = valueTypeList.stream().filter(type-> type.getValueType().equalsIgnoreCase(InfluxDbSqlConstant.AVG_WEB)).findFirst().orElse(null);
                         valueTypeList.forEach(item3->{
                             DataVDto dto = new DataVDto();
                             dto.setTime(item.getTime());
                             dto.setLineId(item.getLineId());
                             dto.setPhasicType(item2.getPhasicType());
                             dto.setValueType(item3.getValueType());
-                            //todo 数据清洗的功能需要讨论在哪完成
+                            dto.setQualityFlag("0");
-                            dto.setQualityFlag(0);
                             channelDataVHandler(item3,valueTypes,dto,true);
                             result.add(dto);
                         });
@@ -87,7 +86,7 @@ public class DayDataServiceImpl implements DayDataService {
         } else {
             valueType = pojo1;
         }
-        //todo 按照集合排列顺序取值
+        //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));

data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/DataVFeignClient.java

@@ -5,6 +5,7 @@ import com.njcn.common.pojo.response.HttpResult;
 import com.njcn.dataProcess.api.fallback.DataVFeignClientFallbackFactory;
 import com.njcn.dataProcess.dto.DataVDTO;
 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 org.springframework.cloud.openfeign.FeignClient;
@@ -25,13 +26,24 @@ public interface DataVFeignClient {
 
     @PostMapping("/batchInsertion")
     HttpResult<String> batchInsertion(@RequestBody List<DataVDTO> dataVDTOList);
+
     @PostMapping("/monitoringTime")
     HttpResult<List<LocalDateTime>> monitoringTime(@RequestParam("lineId") String lineId, @RequestParam("localData") String localData) ;
+
+    //获取原始数据
+    @PostMapping("/getRawData")
+    HttpResult<List<DataVDto>> getRawData(@RequestBody LineCountEvaluateParam lineParam);
+
     //获取算法基础数据
     @PostMapping("/getBaseData")
     HttpResult<List<CommonMinuteDto>> getBaseData(@RequestBody LineCountEvaluateParam lineParam);
+
     //批量插入数据
     @PostMapping("/addList")
-    HttpResult<String> addList(@RequestBody List<DataVDto> dataVDtoList);
+    HttpResult<String> addList(@RequestBody List<DataVDto> list);
+
+    //批量插入时序数据
+    @PostMapping("/addInfluxDbList")
+    HttpResult<String> addInfluxDbList(@RequestBody List<DataVDto> list);
 
 }

data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/DataVFeignClientFallbackFactory.java

@@ -6,10 +6,10 @@ import com.njcn.common.pojo.response.HttpResult;
 import com.njcn.dataProcess.api.DataVFeignClient;
 import com.njcn.dataProcess.dto.DataVDTO;
 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.util.DataProcessingEnumUtil;
-import com.njcn.system.utils.SystemEnumUtil;
 import feign.hystrix.FallbackFactory;
 import lombok.extern.slf4j.Slf4j;
 import org.springframework.stereotype.Component;
@@ -54,6 +54,12 @@ public class DataVFeignClientFallbackFactory implements FallbackFactory<DataVFei
                 throw new BusinessException(finalExceptionEnum);
             }
 
+            @Override
+            public HttpResult<List<DataVDto>> 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<List<CommonMinuteDto>> getBaseData(LineCountEvaluateParam lineParam) {
                 log.error("{}异常，降级处理，异常为：{}","获取算法基础数据",cause.toString());
@@ -61,11 +67,16 @@ public class DataVFeignClientFallbackFactory implements FallbackFactory<DataVFei
             }
 
             @Override
-            public HttpResult<String> addList(List<DataVDto> dataVDtoList) {
+            public HttpResult<String> addList(List<DataVDto> list) {
                 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<String> addInfluxDbList(List<DataVDto> list) {
+                log.error("{}异常，降级处理，异常为：{}","时序数据库插入数据",cause.toString());
+                throw new BusinessException(finalExceptionEnum);
+            }
         };
     }
 }

data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataV.java

@@ -33,15 +33,28 @@ public class DataV {
     @JsonSerialize(using = InstantDateSerializer.class)
     private Instant time;
 
+    @Column(name = "line_id", tag = true)
+    private String lineId;
+
+    @Column(name = "phasic_type", tag = true)
+    private String phasicType;
+
+    @Column(name = "value_type", tag = true)
+    private String valueType;
+
+    @Column(name = "quality_flag", tag = true)
+    private String qualityFlag;
+
+    //是否是异常指标数据，0否1是
+    @Column(name = "abnormal_flag")
+    private Integer abnormalFlag;
+
     @Column(name = "freq")
     private Double freq;
 
     @Column(name = "freq_dev")
     private Double freqDev;
 
-    @Column(name = "quality_flag", tag = true)
-    private String qualityFlag;
-
     @Column(name = "rms")
     private Double rms;
 
@@ -54,6 +67,21 @@ public class DataV {
     @Column(name = "vu_dev")
     private Double vuDev;
 
+    @Column(name = "v_neg")
+    private Double vNeg;
+
+    @Column(name = "v_pos")
+    private Double vPos;
+
+    @Column(name = "v_thd")
+    private Double vThd;
+
+    @Column(name = "v_unbalance")
+    private Double vUnbalance;
+
+    @Column(name = "v_zero")
+    private Double vZero;
+
     @Column(name = "v_1")
     private Double v1;
 
@@ -204,46 +232,6 @@ public class DataV {
     @Column(name = "v_50")
     private Double v50;
 
-    @Column(name = "v_neg")
-    private Double vNeg;
-
-    @Column(name = "v_pos")
-    private Double vPos;
-
-    @Column(name = "v_thd")
-    private Double vThd;
-
-    @Column(name = "v_unbalance")
-    private Double vUnbalance;
-
-    @Column(name = "v_zero")
-    private Double vZero;
-
-    @Column(name = "line_id", tag = true)
-    private String lineId;
-
-    @Column(name = "phasic_type", tag = true)
-    private String phasicType;
-
-    @Column(name = "value_type", tag = true)
-    private String valueType;
-
-
-    //自定义字段-总计算次数
-    @Column(name = "all_time")
-    private Integer allTime;
-
-    //自定义字段
-    @Column(name = "mean")
-    private Double mean;
-
-    //自定义字段
-    @Column(name = "count")
-    private Integer count;
-    //是否是异常指标数据，0否1是
-    @Column(name = "abnormal_flag")
-    private Integer abnormalFlag;
-
     public static List<DataV> relationToInfluxDB(DataVDTO dataV) {
         if (dataV == null) {
             return null;

data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataVDto.java

@@ -15,6 +15,9 @@ public class DataVDto 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;
 
@@ -25,7 +28,10 @@ public class DataVDto implements Serializable {
     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 Integer qualityFlag;
+    private String qualityFlag;
+
+    @ApiModelProperty("数据清洗标识 0:正常 1:异常")
+    private Integer abnormalFlag;
 
     @ApiModelProperty("频率")
     private Double freq;

data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataVController.java

@@ -6,10 +6,10 @@ 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.DataVDTO;
-import com.njcn.dataProcess.dto.DataVFiveItemDTO;
 import com.njcn.dataProcess.annotation.InsertBean;
 import com.njcn.dataProcess.annotation.QueryBean;
+import com.njcn.dataProcess.dto.DataVDTO;
+import com.njcn.dataProcess.dto.DataVFiveItemDTO;
 import com.njcn.dataProcess.param.LineCountEvaluateParam;
 import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
 import com.njcn.dataProcess.pojo.dto.DataVDto;
@@ -75,6 +75,15 @@ public class DataVController extends BaseController {
         return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, localDateTimeList, methodDescribe);
     }
 
+    @OperateInfo(info = LogEnum.BUSINESS_COMMON,operateType = OperateType.QUERY)
+    @PostMapping("/getRawData")
+    @ApiOperation("获取原始数据")
+    public HttpResult<List<DataVDto>> getRawData(@RequestBody LineCountEvaluateParam lineParam) {
+        String methodDescribe = getMethodDescribe("getRawData");
+        List<DataVDto> data = dataVQuery.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")
@@ -86,12 +95,19 @@ public class DataVController extends BaseController {
 
     @OperateInfo(info = LogEnum.BUSINESS_COMMON,operateType = OperateType.ADD)
     @PostMapping("/addList")
-    @ApiOperation("批量插入数据")
+    @ApiOperation("关系型数据库插入数据")
     public HttpResult<String> addList(@RequestBody List<DataVDto> dataVDtoList) {
         String methodDescribe = getMethodDescribe("addList");
         dataVInsert.addList(dataVDtoList);
         return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, "", methodDescribe);
     }
 
-
+    @OperateInfo(info = LogEnum.BUSINESS_COMMON,operateType = OperateType.ADD)
+    @PostMapping("/addInfluxDbList")
+    @ApiOperation("时序数据库插入数据")
+    public HttpResult<String> addInfluxDbList(@RequestBody List<DataVDto> dataVList) {
+        String methodDescribe = getMethodDescribe("addInfluxDbList");
+        dataVInsert.addInfluxDbList(dataVList);
+        return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, "", methodDescribe);
+    }
 }

data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataV.java

@@ -4,6 +4,7 @@ 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;
@@ -30,6 +31,13 @@ public interface IDataV extends IMppService<RStatDataVD> {
 
     List<LocalDateTime> monitoringTime(String lineId, String localData);
 
+    /**
+     * 获取原始数据
+     * @param lineParam
+     * @return
+     */
+    List<DataVDto> getRawData(LineCountEvaluateParam lineParam);
+
     /**
      * 获取监测点原始数据
      * @param lineParam 监测点参数
@@ -40,4 +48,6 @@ public interface IDataV extends IMppService<RStatDataVD> {
      * 批量插入数据
      */
     void addList(List<DataVDto> dataVDtoList);
+
+    void addInfluxDbList(List<DataVDto> dataVList);
 }

data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataVImpl.java

@@ -2,17 +2,15 @@ package com.njcn.dataProcess.service.impl.influxdb;
 
 import cn.hutool.core.collection.CollectionUtil;
 import cn.hutool.core.collection.ListUtil;
-
 import com.github.jeffreyning.mybatisplus.service.MppServiceImpl;
 import com.njcn.common.utils.HarmonicTimesUtil;
 import com.njcn.dataProcess.constant.InfluxDBTableConstant;
 import com.njcn.dataProcess.constant.PhaseType;
+import com.njcn.dataProcess.dao.imapper.DataVMapper;
 import com.njcn.dataProcess.dao.relation.mapper.RStatDataVRelationMapper;
 import com.njcn.dataProcess.dto.DataVDTO;
 import com.njcn.dataProcess.dto.DataVFiveItemDTO;
 import com.njcn.dataProcess.dto.LineDataVFiveItemDTO;
-
-import com.njcn.dataProcess.dao.imapper.DataVMapper;
 import com.njcn.dataProcess.param.LineCountEvaluateParam;
 import com.njcn.dataProcess.po.influx.DataV;
 import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
@@ -23,10 +21,13 @@ import com.njcn.dataProcess.util.TimeUtils;
 import com.njcn.influx.constant.InfluxDbSqlConstant;
 import com.njcn.influx.query.InfluxQueryWrapper;
 import org.apache.commons.collections4.ListUtils;
+import org.springframework.beans.BeanUtils;
 import org.springframework.stereotype.Service;
 
 import javax.annotation.Resource;
 import java.time.LocalDateTime;
+import java.time.ZoneId;
+import java.time.format.DateTimeFormatter;
 import java.util.*;
 import java.util.stream.Collectors;
 
@@ -38,6 +39,8 @@ import java.util.stream.Collectors;
 @Service("InfluxdbDataVImpl")
 public class InfluxdbDataVImpl extends MppServiceImpl<RStatDataVRelationMapper, RStatDataVD> implements IDataV {
 
+    private final DateTimeFormatter DATE_TIME_FORMATTER = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss").withZone(ZoneId.systemDefault());;
+
     @Resource
     private DataVMapper dataVMapper;
 
@@ -113,10 +116,23 @@ public class InfluxdbDataVImpl extends MppServiceImpl<RStatDataVRelationMapper,
         return null;
     }
 
+    @Override
+    public List<DataVDto> getRawData(LineCountEvaluateParam lineParam) {
+        List<DataVDto> result = new ArrayList<>();
+        List<DataV> list = getMinuteDataV(lineParam.getLineId(), lineParam.getStartTime(), lineParam.getEndTime(), false);
+        list.forEach(item->{
+            DataVDto dto = new DataVDto();
+            BeanUtils.copyProperties(item,dto);
+            dto.setMinTime(DATE_TIME_FORMATTER.format(item.getTime()));
+            result.add(dto);
+        });
+        return result;
+    }
+
     @Override
     public List<CommonMinuteDto> getBaseData(LineCountEvaluateParam lineParam) {
         List<CommonMinuteDto> result = new ArrayList<>();
-        List<DataV> dataVList = getMinuteDataV(lineParam.getLineId(), lineParam.getStartTime(), lineParam.getEndTime());
+        List<DataV> dataVList = getMinuteDataV(lineParam.getLineId(), lineParam.getStartTime(), lineParam.getEndTime(),true);
         if (CollectionUtil.isNotEmpty(dataVList)) {
             String time = TimeUtils.StringTimeToString(lineParam.getStartTime());
             //以监测点分组
@@ -137,7 +153,7 @@ public class InfluxdbDataVImpl extends MppServiceImpl<RStatDataVRelationMapper,
                     valueTypeMap.forEach((valueType,valueTypeList)->{
                         CommonMinuteDto.ValueType value = new CommonMinuteDto.ValueType();
                         value.setValueType(valueType);
-                        //todo 规定好集合指标参数
+                        //规定好集合指标参数
                         List<Double> data1 = valueTypeList.stream().map(DataV::getFreq).collect(Collectors.toList());
                         List<Double> data2 = valueTypeList.stream().map(DataV::getFreqDev).collect(Collectors.toList());
                         List<Double> data3 = valueTypeList.stream().map(DataV::getRms).collect(Collectors.toList());
@@ -226,10 +242,22 @@ public class InfluxdbDataVImpl extends MppServiceImpl<RStatDataVRelationMapper,
 
     }
 
+    @Override
+    public void addInfluxDbList(List<DataVDto> dataVList) {
+        List<DataV> result = new ArrayList<>();
+        dataVList.forEach(item->{
+            DataV dataV = new DataV();
+            BeanUtils.copyProperties(item, dataV);
+            dataV.setTime(LocalDateTime.parse(item.getMinTime(), DATE_TIME_FORMATTER).atZone(ZoneId.systemDefault()).toInstant());
+            result.add(dataV);
+        });
+        dataVMapper.insertBatch(result);
+    }
+
     /**
      * 按监测点集合、时间条件获取dataV分钟数据
      */
-    public List<DataV> getMinuteDataV(List<String> lineList, String startTime, String endTime) {
+    public List<DataV> getMinuteDataV(List<String> lineList, String startTime, String endTime, boolean clean) {
         InfluxQueryWrapper influxQueryWrapper = new InfluxQueryWrapper(DataV.class);
         influxQueryWrapper.samePrefixAndSuffix(InfluxDbSqlConstant.V, "", HarmonicTimesUtil.harmonicTimesList(1, 50, 1));
         influxQueryWrapper.regular(DataV::getLineId, lineList)
@@ -247,8 +275,11 @@ public class InfluxdbDataVImpl extends MppServiceImpl<RStatDataVRelationMapper,
                 .select(DataV::getVZero)
                 .select(DataV::getVlDev)
                 .select(DataV::getVuDev)
+                .select(DataV::getQualityFlag)
                 .between(DataV::getTime, startTime, endTime);
-        System.out.println(influxQueryWrapper.generateSql());
+        if (clean) {
+            influxQueryWrapper.eq(DataV::getAbnormalFlag,0);
+        }
         return dataVMapper.selectByQueryWrapper(influxQueryWrapper);
     }
 

data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataVImpl.java

@@ -2,11 +2,10 @@ 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.dao.relation.mapper.DataVRelationMapper;
 import com.njcn.dataProcess.dao.relation.mapper.RStatDataVRelationMapper;
 import com.njcn.dataProcess.dto.DataVDTO;
 import com.njcn.dataProcess.dto.DataVFiveItemDTO;
-
-import com.njcn.dataProcess.dao.relation.mapper.DataVRelationMapper;
 import com.njcn.dataProcess.param.LineCountEvaluateParam;
 import com.njcn.dataProcess.po.relation.DataV;
 import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
@@ -84,6 +83,11 @@ public class RelationDataVImpl extends MppServiceImpl<RStatDataVRelationMapper,
         return result;
     }
 
+    @Override
+    public List<DataVDto> getRawData(LineCountEvaluateParam lineParam) {
+        return Collections.emptyList();
+    }
+
     @Override
     public List<CommonMinuteDto> getBaseData(LineCountEvaluateParam lineParam) {
         return Collections.emptyList();
@@ -99,6 +103,13 @@ public class RelationDataVImpl extends MppServiceImpl<RStatDataVRelationMapper,
             BeanUtils.copyProperties(item, dataV);
             result.add(dataV);
         });
-        iDataV.saveOrUpdateBatchByMultiId(result);
+        iDataV.saveOrUpdateBatch(result);
     }
+
+    @Override
+    public void addInfluxDbList(List<DataVDto> dataVList) {
+
+    }
+
+
 }

data-processing/data-processing-boot/src/main/resources/bootstrap.yml

@@ -55,6 +55,7 @@ mqtt:
 data:
   source:
     query: Influxdb
+#    insert: Influxdb
     insert: Relation
 #mybatis配置信息
 mybatis-plus: