微调

src/main/java/com/njcn/influx/imapper/DataHarmRateVCvtMapper.java

@@ -0,0 +1,11 @@
+package com.njcn.influx.imapper;
+
+import com.njcn.influx.base.InfluxDbBaseMapper;
+import com.njcn.influx.pojo.po.DataHarmRateVCvt;
+
+/**
+ * @author xy
+ */
+public interface DataHarmRateVCvtMapper extends InfluxDbBaseMapper<DataHarmRateVCvt> {
+
+}

src/main/java/com/njcn/influx/pojo/bo/CommonQueryParam.java

@@ -14,6 +14,7 @@ public class CommonQueryParam {
     private String lineId;
     private String tableName;
     private String columnName;
+    private String resultName;
     private String phasic;
     private String startTime;
     private String endTime;

src/main/java/com/njcn/influx/pojo/po/DataHarmRateVCvt.java

@@ -0,0 +1,193 @@
+package com.njcn.influx.pojo.po;
+
+import com.fasterxml.jackson.databind.annotation.JsonSerialize;
+import com.njcn.influx.utils.InstantDateSerializer;
+import lombok.Data;
+import org.influxdb.annotation.Column;
+import org.influxdb.annotation.Measurement;
+import org.influxdb.annotation.TimeColumn;
+
+import java.time.Instant;
+
+
+/**
+ * 类的介绍：
+ *
+ * @author xuyang
+ * @version 1.0.0
+ * @createTime 2022/5/12 11:27
+ */
+@Data
+@Measurement(name = "data_harmrate_v_cvt")
+public class DataHarmRateVCvt {
+    @TimeColumn
+    @Column(name = "time", tag = true)
+    @JsonSerialize(using = InstantDateSerializer.class)
+    private Instant time;
+
+    @Column(name = "line_id", tag = true)
+    private String lineId;
+
+    @Column(name = "phasic_type", tag = true)
+    private String phaseType;
+
+    @Column(name = "quality_flag", tag = true)
+    private String qualityFlag;
+
+    @Column(name = "value_type", tag = true)
+    private String valueType;
+
+    @Column(name = "v_1")
+    private Double v1;
+
+    @Column(name = "v_2")
+    private Double v2;
+
+    @Column(name = "v_3")
+    private Double v3;
+
+    @Column(name = "v_4")
+    private Double v4;
+
+    @Column(name = "v_5")
+    private Double v5;
+
+    @Column(name = "v_6")
+    private Double v6;
+
+    @Column(name = "v_7")
+    private Double v7;
+
+    @Column(name = "v_8")
+    private Double v8;
+
+    @Column(name = "v_9")
+    private Double v9;
+
+    @Column(name = "v_10")
+    private Double v10;
+
+    @Column(name = "v_11")
+    private Double v11;
+
+    @Column(name = "v_12")
+    private Double v12;
+
+    @Column(name = "v_13")
+    private Double v13;
+
+    @Column(name = "v_14")
+    private Double v14;
+
+    @Column(name = "v_15")
+    private Double v15;
+
+    @Column(name = "v_16")
+    private Double v16;
+
+    @Column(name = "v_17")
+    private Double v17;
+
+    @Column(name = "v_18")
+    private Double v18;
+
+    @Column(name = "v_19")
+    private Double v19;
+
+    @Column(name = "v_20")
+    private Double v20;
+
+    @Column(name = "v_21")
+    private Double v21;
+
+    @Column(name = "v_22")
+    private Double v22;
+
+    @Column(name = "v_23")
+    private Double v23;
+
+    @Column(name = "v_24")
+    private Double v24;
+
+    @Column(name = "v_25")
+    private Double v25;
+
+    @Column(name = "v_26")
+    private Double v26;
+
+    @Column(name = "v_27")
+    private Double v27;
+
+    @Column(name = "v_28")
+    private Double v28;
+
+    @Column(name = "v_29")
+    private Double v29;
+
+    @Column(name = "v_30")
+    private Double v30;
+
+    @Column(name = "v_31")
+    private Double v31;
+
+    @Column(name = "v_32")
+    private Double v32;
+
+    @Column(name = "v_33")
+    private Double v33;
+
+    @Column(name = "v_34")
+    private Double v34;
+
+    @Column(name = "v_35")
+    private Double v35;
+
+    @Column(name = "v_36")
+    private Double v36;
+
+    @Column(name = "v_37")
+    private Double v37;
+
+    @Column(name = "v_38")
+    private Double v38;
+
+    @Column(name = "v_39")
+    private Double v39;
+
+    @Column(name = "v_40")
+    private Double v40;
+
+    @Column(name = "v_41")
+    private Double v41;
+
+    @Column(name = "v_42")
+    private Double v42;
+
+    @Column(name = "v_43")
+    private Double v43;
+
+    @Column(name = "v_44")
+    private Double v44;
+
+    @Column(name = "v_45")
+    private Double v45;
+
+    @Column(name = "v_46")
+    private Double v46;
+
+    @Column(name = "v_47")
+    private Double v47;
+
+    @Column(name = "v_48")
+    private Double v48;
+
+    @Column(name = "v_49")
+    private Double v49;
+
+    @Column(name = "v_50")
+    private Double v50;
+    //是否是异常指标数据，0否1是
+    @Column(name = "abnormal_flag")
+    private Integer abnormalFlag;
+
+}

src/main/java/com/njcn/influx/pojo/po/day/DayV.java

@@ -215,7 +215,7 @@ public class DayV {
     private String lineId;
 
     @Column(name = "phasic_type",tag = true)
-    private String phasicType;
+    private String phaseType;
 
     @Column(name = "value_type",tag = true)
     private String valueType;

src/main/java/com/njcn/influx/service/CommonService.java

@@ -84,5 +84,9 @@ public interface CommonService {
      */
     StatisticalDataDTO getCounts(String lineId, String tableName, String columnName,String resultName, String phasic, String dataType, String clDid, String process,String startTime, String endTime);
 
+    List<StatisticalDataDTO> getEachModule(CommonQueryParam param);
 
+    StatisticalDataDTO getDataCounts(String lineId, String tableName, String columnName,String resultName, String phasic, String dataType, String clDid, String process,String startTime, String endTime);
+
+    List<StatisticalDataDTO> getModuleData(CommonQueryParam param);
 }

src/main/java/com/njcn/influx/service/impl/CommonServiceImpl.java

@@ -1,5 +1,6 @@
 package com.njcn.influx.service.impl;
 
+import cn.hutool.core.util.ObjectUtil;
 import com.njcn.influx.imapper.CommonMapper;
 import com.njcn.influx.pojo.bo.CommonQueryParam;
 import com.njcn.influx.pojo.constant.InfluxDBTableConstant;
@@ -9,8 +10,7 @@ import com.njcn.influx.service.CommonService;
 import lombok.RequiredArgsConstructor;
 import org.springframework.stereotype.Service;
 
-import java.util.ArrayList;
-import java.util.List;
+import java.util.*;
 
 /**
  * Description:
@@ -157,9 +157,51 @@ public class CommonServiceImpl implements CommonService {
                 .eq(InfluxDBTableConstant.VALUE_TYPE,dataType)
                 .eq(InfluxDBTableConstant.CL_DID,clDid)
                 .eq(InfluxDBTableConstant.PROCESS,process)
-                .between(InfluxDBTableConstant.TIME, startTime, endTime);;
+                .between(InfluxDBTableConstant.TIME, startTime, endTime);
         return commonMapper.getLineRtData(influxQueryWrapper);
     }
 
+    @Override
+    public List<StatisticalDataDTO> getEachModule(CommonQueryParam param) {
+        InfluxQueryWrapper influxQueryWrapper = new InfluxQueryWrapper(param.getTableName(),StatisticalDataDTO.class);
+        influxQueryWrapper.select(param.getColumnName(),param.getResultName())
+                .between(InfluxDBTableConstant.TIME, param.getStartTime(), param.getEndTime())
+                .eq(InfluxDBTableConstant.LINE_ID,param.getLineId())
+                .eq(InfluxDBTableConstant.PHASIC_TYPE, "M")
+                .eq(InfluxDBTableConstant.VALUE_TYPE,"avg")
+                .eq(param.getDataType(),0)
+                .eq(InfluxDBTableConstant.PROCESS,param.getProcess())
+                .eq(InfluxDBTableConstant.CL_DID,param.getClDid());
+        return commonMapper.getDeviceRtDataByTime(influxQueryWrapper);
+    }
 
+    @Override
+    public StatisticalDataDTO getDataCounts(String lineId, String tableName, String columnName, String resultName, String phasic, String dataType, String clDid, String process, String startTime, String endTime) {
+        InfluxQueryWrapper influxQueryWrapper = new InfluxQueryWrapper(tableName,StatisticalDataDTO.class);
+        influxQueryWrapper.count(columnName,resultName)
+                .eq(InfluxDBTableConstant.LINE_ID,lineId)
+                .eq(InfluxDBTableConstant.PHASIC_TYPE,phasic)
+                .eq(InfluxDBTableConstant.VALUE_TYPE,dataType)
+                .eq(InfluxDBTableConstant.CL_DID,clDid)
+                .eq(InfluxDBTableConstant.PROCESS,process)
+                .between(InfluxDBTableConstant.TIME, startTime, endTime);
+        return commonMapper.getLineRtData(influxQueryWrapper);
+    }
+
+    @Override
+    public List<StatisticalDataDTO> getModuleData(CommonQueryParam param) {
+        InfluxQueryWrapper influxQueryWrapper = new InfluxQueryWrapper(param.getTableName(),StatisticalDataDTO.class);
+        influxQueryWrapper
+                .select(StatisticalDataDTO::getLineId)
+                .select(StatisticalDataDTO::getPhaseType)
+                .select("Apf_RmsI_ModOut","value")
+                .select("Apf_RmsI_Load","avgValue")
+                .select("Apf_Temp_Env","minValue")
+                .between(InfluxDBTableConstant.TIME, param.getStartTime(), param.getEndTime())
+                .eq(InfluxDBTableConstant.LINE_ID,param.getLineId())
+                .eq(InfluxDBTableConstant.VALUE_TYPE,"avg")
+                .eq(InfluxDBTableConstant.PROCESS,param.getProcess())
+                .eq(InfluxDBTableConstant.CL_DID,param.getClDid());
+        return commonMapper.getDeviceRtDataByTime(influxQueryWrapper);
+    }
 }