This commit is contained in:
wr
2025-04-25 10:27:11 +08:00
parent 7bd3853222
commit d07b9d61bb
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package com.njcn.api;
import com.njcn.api.fallback.MigrationInsertFeignClientFallbackFactory;
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.response.HttpResult;
import com.njcn.po.influx.*;
import com.njcn.po.mysql.RmpEventDetail;
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 denghuajun
* @version 1.0.0
* @date 2022年01月05日 15:11
*/
@FeignClient(value = "migration-influxdb-insert-boot", path = "/migration", fallbackFactory = MigrationInsertFeignClientFallbackFactory.class, contextId = "migration")
public interface MigrationInsertFeignClient {
@PostMapping("/insertDataFlicker")
HttpResult<String> insertDataFlicker(@RequestBody List<DataFlicker> list);
@PostMapping("/insertDataFluc")
HttpResult<String> insertDataFluc(@RequestBody List<DataFluc> list);
@PostMapping("/insertDataHarmphasicI")
HttpResult<String> insertDataHarmphasicI(@RequestBody List<DataHarmphasicI> list);
@OperateInfo(info = LogEnum.BUSINESS_COMMON, operateType = OperateType.ADD)
@PostMapping("/insertDataHarmphasicV")
HttpResult<String> insertDataHarmphasicV(@RequestBody List<DataHarmphasicV> list);
@PostMapping("/insertDataHarmpowerP")
HttpResult<String> insertDataHarmpowerP(@RequestBody List<DataHarmpowerP> list);
@PostMapping("/insertDataHarmpowerQ")
HttpResult<String> insertDataHarmpowerQ(@RequestBody List<DataHarmpowerQ> list);
@PostMapping("/insertDataHarmpowerS")
HttpResult<String> insertDataHarmpowerS(@RequestBody List<DataHarmpowerS> list);
@PostMapping("/insertDataHarmrateI")
HttpResult<String> insertDataHarmrateI(@RequestBody List<DataHarmrateI> list);
@PostMapping("/insertDataHarmrateV")
HttpResult<String> insertDataHarmrateV(@RequestBody List<DataHarmrateV> list);
@PostMapping("/insertDataI")
HttpResult<String> insertDataI(@RequestBody List<DataI> list);
@PostMapping("/insertDataInharmI")
HttpResult<String> insertDataInharmI(@RequestBody List<DataInharmI> list);
@PostMapping("/insertDataInharmV")
HttpResult<String> insertDataInharmV(@RequestBody List<DataInharmV> list);
@PostMapping("/insertDataPlt")
HttpResult<String> insertDataPlt(@RequestBody List<DataPlt> list);
@PostMapping("/insertDataV")
HttpResult<String> insertDataV(@RequestBody List<DataV> list);
@PostMapping("/insertPqsCommunicate")
HttpResult<String> insertPqsCommunicate(@RequestBody List<PqsCommunicate> list);
@PostMapping("/batchInsertion")
HttpResult<String> batchInsertion(@RequestBody List<RmpEventDetail> list);
}

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package com.njcn.api.fallback;
import com.njcn.api.MigrationInsertFeignClient;
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.util.DataProcessingEnumUtil;
import com.njcn.po.influx.*;
import com.njcn.po.mysql.RmpEventDetail;
import feign.hystrix.FallbackFactory;
import lombok.extern.slf4j.Slf4j;
import org.springframework.stereotype.Component;
import java.util.List;
/**
* @Description:
* @Author: wr
* @Date: 2025/3/19 10:19
*/
@Slf4j
@Component
public class MigrationInsertFeignClientFallbackFactory implements FallbackFactory<MigrationInsertFeignClient> {
/**
* 输出远程请求接口异常日志
* @param cause RPC请求异常
*/
@Override
public MigrationInsertFeignClient 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 MigrationInsertFeignClient() {
@Override
public HttpResult<String> insertDataFlicker(List<DataFlicker> list) {
log.error("{}异常,降级处理,异常为:{}","insertDataFlicker批量插入数据",cause.toString());
throw new BusinessException(finalExceptionEnum);
}
@Override
public HttpResult<String> insertDataFluc(List<DataFluc> list) {
log.error("{}异常,降级处理,异常为:{}","insertDataFluc批量插入数据",cause.toString());
throw new BusinessException(finalExceptionEnum);
}
@Override
public HttpResult<String> insertDataHarmphasicI(List<DataHarmphasicI> list) {
log.error("{}异常,降级处理,异常为:{}","insertDataHarmphasicI批量插入数据",cause.toString());
throw new BusinessException(finalExceptionEnum);
}
@Override
public HttpResult<String> insertDataHarmphasicV(List<DataHarmphasicV> list) {
log.error("{}异常,降级处理,异常为:{}","insertDataHarmphasicV批量插入数据",cause.toString());
throw new BusinessException(finalExceptionEnum);
}
@Override
public HttpResult<String> insertDataHarmpowerP(List<DataHarmpowerP> list) {
log.error("{}异常,降级处理,异常为:{}","insertDataHarmpowerP批量插入数据",cause.toString());
throw new BusinessException(finalExceptionEnum);
}
@Override
public HttpResult<String> insertDataHarmpowerQ(List<DataHarmpowerQ> list) {
log.error("{}异常,降级处理,异常为:{}","insertDataHarmpowerQ批量插入数据",cause.toString());
throw new BusinessException(finalExceptionEnum);
}
@Override
public HttpResult<String> insertDataHarmpowerS(List<DataHarmpowerS> list) {
log.error("{}异常,降级处理,异常为:{}","insertDataHarmpowerS批量插入数据",cause.toString());
throw new BusinessException(finalExceptionEnum);
}
@Override
public HttpResult<String> insertDataHarmrateI(List<DataHarmrateI> list) {
log.error("{}异常,降级处理,异常为:{}","insertDataHarmrateI批量插入数据",cause.toString());
throw new BusinessException(finalExceptionEnum);
}
@Override
public HttpResult<String> insertDataHarmrateV(List<DataHarmrateV> list) {
log.error("{}异常,降级处理,异常为:{}","insertDataHarmrateV批量插入数据",cause.toString());
throw new BusinessException(finalExceptionEnum);
}
@Override
public HttpResult<String> insertDataI(List<DataI> list) {
log.error("{}异常,降级处理,异常为:{}","insertDataI批量插入数据",cause.toString());
throw new BusinessException(finalExceptionEnum);
}
@Override
public HttpResult<String> insertDataInharmI(List<DataInharmI> list) {
log.error("{}异常,降级处理,异常为:{}","insertDataInharmI批量插入数据",cause.toString());
throw new BusinessException(finalExceptionEnum);
}
@Override
public HttpResult<String> insertDataInharmV(List<DataInharmV> list) {
log.error("{}异常,降级处理,异常为:{}","insertDataInharmV批量插入数据",cause.toString());
throw new BusinessException(finalExceptionEnum);
}
@Override
public HttpResult<String> insertDataPlt(List<DataPlt> list) {
log.error("{}异常,降级处理,异常为:{}","insertDataPlt批量插入数据",cause.toString());
throw new BusinessException(finalExceptionEnum);
}
@Override
public HttpResult<String> insertDataV(List<DataV> list) {
log.error("{}异常,降级处理,异常为:{}","insertDataV批量插入数据",cause.toString());
throw new BusinessException(finalExceptionEnum);
}
@Override
public HttpResult<String> insertPqsCommunicate(List<PqsCommunicate> list) {
log.error("{}异常,降级处理,异常为:{}","insertPqsCommunicate批量插入数据",cause.toString());
throw new BusinessException(finalExceptionEnum);
}
@Override
public HttpResult<String> batchInsertion(List<RmpEventDetail> list) {
log.error("{}异常,降级处理,异常为:{}","eventDetail批量插入数据",cause.toString());
throw new BusinessException(finalExceptionEnum);
}
};
}
}

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package com.njcn.param;
import lombok.Data;
import java.io.Serializable;
/**
* @author hongawen
* @version 1.0
* @data 2024/11/7 10:08
*/
@Data
public class BaseParam implements Serializable {
private String startTime;
private String endTime;
}

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package com.njcn.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;
}

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package com.njcn.param;
import lombok.Data;
import java.io.Serializable;
import java.util.List;
import java.util.Map;
/**
* 监测点有效数值统计数据评估入参
*
* @author hongawen
* @version 1.0
* @data 2024/11/6 20:36
*/
@Data
public class LineCountEvaluateParam extends BaseParam implements Serializable {
/**
* 监测点编号集合
*/
private List<String> lineId;
/**
* 表名
*/
private String tableName;
/**
* 相别集合
*/
private List<String> phasicType;
/**
* 值类型
*/
private List<String> valueType;
/**
* 异常数据时间集合
* Map<String,List<String>> key:监测点id value:异常时间集合
*/
private Map<String, List<String>> abnormalTime;
/**
* 列名
*/
private String columnName;
/**
* 最小值 >=
*/
private String ge;
/**
* 最大值 <=
*/
private String lt;
/**
* 是否时手动补招
*/
private Boolean isManual;
}

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package com.njcn.po.influx;
import com.fasterxml.jackson.annotation.JsonIgnore;
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
*/
@Data
@Measurement(name = "data_flicker")
public class DataFlicker {
@TimeColumn
@Column(name = "time",tag = true)
@JsonSerialize(using = InstantDateSerializer.class)
@JsonIgnore
private Instant time;
private String timeId;
@Column(name = "line_id",tag = true)
private String lineId;
@Column(name = "phasic_type",tag = true)
private String phasicType;
@Column(name = "fluc")
private Double fluc=0.00;
@Column(name = "plt")
private Double plt=0.00;
@Column(name = "pst")
private Double pst=0.00;
@Column(name = "quality_flag",tag = true)
private String qualityFlag ="0";
}

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package com.njcn.po.influx;
import com.fasterxml.jackson.annotation.JsonIgnore;
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
*/
@Data
@Measurement(name = "data_fluc")
public class DataFluc {
@TimeColumn
@Column(name = "time",tag = true)
@JsonSerialize(using = InstantDateSerializer.class)
@JsonIgnore
private Instant time;
private String timeId;
@Column(name = "line_id",tag = true)
private String lineId;
@Column(name = "phasic_type",tag = true)
private String phasicType;
@Column(name = "fluc")
private Double fluc=0.00;
@Column(name = "fluccf")
private Double fluccf=0.00;
@Column(name = "quality_flag",tag = true)
private String qualityFlag="0";
}

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package com.njcn.po.influx;
import com.fasterxml.jackson.annotation.JsonIgnore;
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
*/
@Data
@Measurement(name = "data_harmphasic_i")
public class DataHarmphasicI {
@TimeColumn
@Column(name = "time",tag = true)
@JsonSerialize(using = InstantDateSerializer.class)
@JsonIgnore
private Instant time;
private String timeId;
@Column(name = "line_id",tag = true)
private String lineId;
@Column(name = "phasic_type",tag = true)
private String phasicType;
@Column(name = "quality_flag",tag = true)
private String qualityFlag="0";
@Column(name = "value_type",tag = true)
private String valueType;
@Column(name = "i_1")
private Double i1;
@Column(name = "i_2")
private Double i2;
@Column(name = "i_3")
private Double i3;
@Column(name = "i_4")
private Double i4;
@Column(name = "i_5")
private Double i5;
@Column(name = "i_6")
private Double i6;
@Column(name = "i_7")
private Double i7;
@Column(name = "i_8")
private Double i8;
@Column(name = "i_9")
private Double i9;
@Column(name = "i_10")
private Double i10;
@Column(name = "i_11")
private Double i11;
@Column(name = "i_12")
private Double i12;
@Column(name = "i_13")
private Double i13;
@Column(name = "i_14")
private Double i14;
@Column(name = "i_15")
private Double i15;
@Column(name = "i_16")
private Double i16;
@Column(name = "i_17")
private Double i17;
@Column(name = "i_18")
private Double i18;
@Column(name = "i_19")
private Double i19;
@Column(name = "i_20")
private Double i20;
@Column(name = "i_21")
private Double i21;
@Column(name = "i_22")
private Double i22;
@Column(name = "i_23")
private Double i23;
@Column(name = "i_24")
private Double i24;
@Column(name = "i_25")
private Double i25;
@Column(name = "i_26")
private Double i26;
@Column(name = "i_27")
private Double i27;
@Column(name = "i_28")
private Double i28;
@Column(name = "i_29")
private Double i29;
@Column(name = "i_30")
private Double i30;
@Column(name = "i_31")
private Double i31;
@Column(name = "i_32")
private Double i32;
@Column(name = "i_33")
private Double i33;
@Column(name = "i_34")
private Double i34;
@Column(name = "i_35")
private Double i35;
@Column(name = "i_36")
private Double i36;
@Column(name = "i_37")
private Double i37;
@Column(name = "i_38")
private Double i38;
@Column(name = "i_39")
private Double i39;
@Column(name = "i_40")
private Double i40;
@Column(name = "i_41")
private Double i41;
@Column(name = "i_42")
private Double i42;
@Column(name = "i_43")
private Double i43;
@Column(name = "i_44")
private Double i44;
@Column(name = "i_45")
private Double i45;
@Column(name = "i_46")
private Double i46;
@Column(name = "i_47")
private Double i47;
@Column(name = "i_48")
private Double i48;
@Column(name = "i_49")
private Double i49;
@Column(name = "i_50")
private Double i50;
}

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package com.njcn.po.influx;
import com.fasterxml.jackson.annotation.JsonIgnore;
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 9:13
*/
@Data
@Measurement(name = "data_harmphasic_v")
public class DataHarmphasicV {
@TimeColumn
@Column(name = "time",tag = true)
@JsonSerialize(using = InstantDateSerializer.class)
@JsonIgnore
private Instant time;
private String timeId;
@Column(name = "line_id",tag = true)
private String lineId;
@Column(name = "phasic_type",tag = true)
private String phasicType;
@Column(name = "quality_flag",tag = true)
private String qualityFlag="0";
@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;
}

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package com.njcn.po.influx;
import com.fasterxml.jackson.annotation.JsonIgnore;
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 9:13
*/
@Data
@Measurement(name = "data_harmpower_p")
public class DataHarmpowerP {
@TimeColumn
@Column(name = "time",tag = true)
@JsonSerialize(using = InstantDateSerializer.class)
@JsonIgnore
private Instant time;
private String timeId;
@Column(name = "line_id",tag = true)
private String lineId;
@Column(name = "phasic_type",tag = true)
private String phasicType;
@Column(name = "quality_flag",tag = true)
private String qualityFlag="0";
@Column(name = "value_type",tag = true)
private String valueType;
@Column(name = "df")
private Double df;
@Column(name = "pf")
private Double pf;
@Column(name = "p")
private Double p;
@Column(name = "p_1")
private Double p1;
@Column(name = "p_2")
private Double p2;
@Column(name = "p_3")
private Double p3;
@Column(name = "p_4")
private Double p4;
@Column(name = "p_5")
private Double p5;
@Column(name = "p_6")
private Double p6;
@Column(name = "p_7")
private Double p7;
@Column(name = "p_8")
private Double p8;
@Column(name = "p_9")
private Double p9;
@Column(name = "p_10")
private Double p10;
@Column(name = "p_11")
private Double p11;
@Column(name = "p_12")
private Double p12;
@Column(name = "p_13")
private Double p13;
@Column(name = "p_14")
private Double p14;
@Column(name = "p_15")
private Double p15;
@Column(name = "p_16")
private Double p16;
@Column(name = "p_17")
private Double p17;
@Column(name = "p_18")
private Double p18;
@Column(name = "p_19")
private Double p19;
@Column(name = "p_20")
private Double p20;
@Column(name = "p_21")
private Double p21;
@Column(name = "p_22")
private Double p22;
@Column(name = "p_23")
private Double p23;
@Column(name = "p_24")
private Double p24;
@Column(name = "p_25")
private Double p25;
@Column(name = "p_26")
private Double p26;
@Column(name = "p_27")
private Double p27;
@Column(name = "p_28")
private Double p28;
@Column(name = "p_29")
private Double p29;
@Column(name = "p_30")
private Double p30;
@Column(name = "p_31")
private Double p31;
@Column(name = "p_32")
private Double p32;
@Column(name = "p_33")
private Double p33;
@Column(name = "p_34")
private Double p34;
@Column(name = "p_35")
private Double p35;
@Column(name = "p_36")
private Double p36;
@Column(name = "p_37")
private Double p37;
@Column(name = "p_38")
private Double p38;
@Column(name = "p_39")
private Double p39;
@Column(name = "p_40")
private Double p40;
@Column(name = "p_41")
private Double p41;
@Column(name = "p_42")
private Double p42;
@Column(name = "p_43")
private Double p43;
@Column(name = "p_44")
private Double p44;
@Column(name = "p_45")
private Double p45;
@Column(name = "p_46")
private Double p46;
@Column(name = "p_47")
private Double p47;
@Column(name = "p_48")
private Double p48;
@Column(name = "p_49")
private Double p49;
@Column(name = "p_50")
private Double p50;
}

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package com.njcn.po.influx;
import com.fasterxml.jackson.annotation.JsonIgnore;
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 9:13
*/
@Data
@Measurement(name = "data_harmpower_q")
public class DataHarmpowerQ {
@TimeColumn
@Column(name = "time",tag = true)
@JsonSerialize(using = InstantDateSerializer.class)
@JsonIgnore
private Instant time;
private String timeId;
@Column(name = "line_id",tag = true)
private String lineId;
@Column(name = "phasic_type",tag = true)
private String phasicType;
@Column(name = "quality_flag",tag = true)
private String qualityFlag="0";
@Column(name = "value_type",tag = true)
private String valueType;
@Column(name = "q")
private Double q;
@Column(name = "q_1")
private Double q1;
@Column(name = "q_2")
private Double q2;
@Column(name = "q_3")
private Double q3;
@Column(name = "q_4")
private Double q4;
@Column(name = "q_5")
private Double q5;
@Column(name = "q_6")
private Double q6;
@Column(name = "q_7")
private Double q7;
@Column(name = "q_8")
private Double q8;
@Column(name = "q_9")
private Double q9;
@Column(name = "q_10")
private Double q10;
@Column(name = "q_11")
private Double q11;
@Column(name = "q_12")
private Double q12;
@Column(name = "q_13")
private Double q13;
@Column(name = "q_14")
private Double q14;
@Column(name = "q_15")
private Double q15;
@Column(name = "q_16")
private Double q16;
@Column(name = "q_17")
private Double q17;
@Column(name = "q_18")
private Double q18;
@Column(name = "q_19")
private Double q19;
@Column(name = "q_20")
private Double q20;
@Column(name = "q_21")
private Double q21;
@Column(name = "q_22")
private Double q22;
@Column(name = "q_23")
private Double q23;
@Column(name = "q_24")
private Double q24;
@Column(name = "q_25")
private Double q25;
@Column(name = "q_26")
private Double q26;
@Column(name = "q_27")
private Double q27;
@Column(name = "q_28")
private Double q28;
@Column(name = "q_29")
private Double q29;
@Column(name = "q_30")
private Double q30;
@Column(name = "q_31")
private Double q31;
@Column(name = "q_32")
private Double q32;
@Column(name = "q_33")
private Double q33;
@Column(name = "q_34")
private Double q34;
@Column(name = "q_35")
private Double q35;
@Column(name = "q_36")
private Double q36;
@Column(name = "q_37")
private Double q37;
@Column(name = "q_38")
private Double q38;
@Column(name = "q_39")
private Double q39;
@Column(name = "q_40")
private Double q40;
@Column(name = "q_41")
private Double q41;
@Column(name = "q_42")
private Double q42;
@Column(name = "q_43")
private Double q43;
@Column(name = "q_44")
private Double q44;
@Column(name = "q_45")
private Double q45;
@Column(name = "q_46")
private Double q46;
@Column(name = "q_47")
private Double q47;
@Column(name = "q_48")
private Double q48;
@Column(name = "q_49")
private Double q49;
@Column(name = "q_50")
private Double q50;
}

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package com.njcn.po.influx;
import com.fasterxml.jackson.annotation.JsonIgnore;
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 9:13
*/
@Data
@Measurement(name = "data_harmpower_s")
public class DataHarmpowerS {
@TimeColumn
@Column(name = "time",tag = true)
@JsonSerialize(using = InstantDateSerializer.class)
@JsonIgnore
private Instant time;
private String timeId;
@Column(name = "line_id",tag = true)
private String lineId;
@Column(name = "phasic_type",tag = true)
private String phasicType;
@Column(name = "quality_flag",tag = true)
private String qualityFlag="0";
@Column(name = "value_type",tag = true)
private String valueType;
@Column(name = "s")
private Double s;
@Column(name = "s_1")
private Double s1;
@Column(name = "s_2")
private Double s2;
@Column(name = "s_3")
private Double s3;
@Column(name = "s_4")
private Double s4;
@Column(name = "s_5")
private Double s5;
@Column(name = "s_6")
private Double s6;
@Column(name = "s_7")
private Double s7;
@Column(name = "s_8")
private Double s8;
@Column(name = "s_9")
private Double s9;
@Column(name = "s_10")
private Double s10;
@Column(name = "s_11")
private Double s11;
@Column(name = "s_12")
private Double s12;
@Column(name = "s_13")
private Double s13;
@Column(name = "s_14")
private Double s14;
@Column(name = "s_15")
private Double s15;
@Column(name = "s_16")
private Double s16;
@Column(name = "s_17")
private Double s17;
@Column(name = "s_18")
private Double s18;
@Column(name = "s_19")
private Double s19;
@Column(name = "s_20")
private Double s20;
@Column(name = "s_21")
private Double s21;
@Column(name = "s_22")
private Double s22;
@Column(name = "s_23")
private Double s23;
@Column(name = "s_24")
private Double s24;
@Column(name = "s_25")
private Double s25;
@Column(name = "s_26")
private Double s26;
@Column(name = "s_27")
private Double s27;
@Column(name = "s_28")
private Double s28;
@Column(name = "s_29")
private Double s29;
@Column(name = "s_30")
private Double s30;
@Column(name = "s_31")
private Double s31;
@Column(name = "s_32")
private Double s32;
@Column(name = "s_33")
private Double s33;
@Column(name = "s_34")
private Double s34;
@Column(name = "s_35")
private Double s35;
@Column(name = "s_36")
private Double s36;
@Column(name = "s_37")
private Double s37;
@Column(name = "s_38")
private Double s38;
@Column(name = "s_39")
private Double s39;
@Column(name = "s_40")
private Double s40;
@Column(name = "s_41")
private Double s41;
@Column(name = "s_42")
private Double s42;
@Column(name = "s_43")
private Double s43;
@Column(name = "s_44")
private Double s44;
@Column(name = "s_45")
private Double s45;
@Column(name = "s_46")
private Double s46;
@Column(name = "s_47")
private Double s47;
@Column(name = "s_48")
private Double s48;
@Column(name = "s_49")
private Double s49;
@Column(name = "s_50")
private Double s50;
}

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package com.njcn.po.influx;
import com.fasterxml.jackson.annotation.JsonIgnore;
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_i")
public class DataHarmrateI {
@TimeColumn
@Column(name = "time",tag = true)
@JsonSerialize(using = InstantDateSerializer.class)
@JsonIgnore
private Instant time;
private String timeId;
@Column(name = "line_id",tag = true)
private String lineId;
@Column(name = "phasic_type",tag = true)
private String phasicType;
@Column(name = "quality_flag",tag = true)
private String qualityFlag="0";
@Column(name = "value_type",tag = true)
private String valueType;
@Column(name = "i_1")
private Double i1;
@Column(name = "i_2")
private Double i2;
@Column(name = "i_3")
private Double i3;
@Column(name = "i_4")
private Double i4;
@Column(name = "i_5")
private Double i5;
@Column(name = "i_6")
private Double i6;
@Column(name = "i_7")
private Double i7;
@Column(name = "i_8")
private Double i8;
@Column(name = "i_9")
private Double i9;
@Column(name = "i_10")
private Double i10;
@Column(name = "i_11")
private Double i11;
@Column(name = "i_12")
private Double i12;
@Column(name = "i_13")
private Double i13;
@Column(name = "i_14")
private Double i14;
@Column(name = "i_15")
private Double i15;
@Column(name = "i_16")
private Double i16;
@Column(name = "i_17")
private Double i17;
@Column(name = "i_18")
private Double i18;
@Column(name = "i_19")
private Double i19;
@Column(name = "i_20")
private Double i20;
@Column(name = "i_21")
private Double i21;
@Column(name = "i_22")
private Double i22;
@Column(name = "i_23")
private Double i23;
@Column(name = "i_24")
private Double i24;
@Column(name = "i_25")
private Double i25;
@Column(name = "i_26")
private Double i26;
@Column(name = "i_27")
private Double i27;
@Column(name = "i_28")
private Double i28;
@Column(name = "i_29")
private Double i29;
@Column(name = "i_30")
private Double i30;
@Column(name = "i_31")
private Double i31;
@Column(name = "i_32")
private Double i32;
@Column(name = "i_33")
private Double i33;
@Column(name = "i_34")
private Double i34;
@Column(name = "i_35")
private Double i35;
@Column(name = "i_36")
private Double i36;
@Column(name = "i_37")
private Double i37;
@Column(name = "i_38")
private Double i38;
@Column(name = "i_39")
private Double i39;
@Column(name = "i_40")
private Double i40;
@Column(name = "i_41")
private Double i41;
@Column(name = "i_42")
private Double i42;
@Column(name = "i_43")
private Double i43;
@Column(name = "i_44")
private Double i44;
@Column(name = "i_45")
private Double i45;
@Column(name = "i_46")
private Double i46;
@Column(name = "i_47")
private Double i47;
@Column(name = "i_48")
private Double i48;
@Column(name = "i_49")
private Double i49;
@Column(name = "i_50")
private Double i50;
}

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package com.njcn.po.influx;
import com.fasterxml.jackson.annotation.JsonIgnore;
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")
public class DataHarmrateV {
@TimeColumn
@Column(name = "time",tag = true)
@JsonSerialize(using = InstantDateSerializer.class)
@JsonIgnore
private Instant time;
private String timeId;
@Column(name = "line_id",tag = true)
private String lineId;
@Column(name = "phasic_type",tag = true)
private String phasicType;
@Column(name = "quality_flag",tag = true)
private String qualityFlag="0";
@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;
}

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package com.njcn.po.influx;
import com.fasterxml.jackson.annotation.JsonIgnore;
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 2022/5/11 15:13
*/
@Data
@Measurement(name = "data_i")
public class DataI {
@Column(name = "time",tag =true)
@JsonSerialize(using = InstantDateSerializer.class)
@JsonIgnore
@TimeColumn
private Instant time;
private String timeId;
@Column(name = "line_id",tag = true)
private String lineId;
@Column(name = "phasic_type",tag = true)
private String phasicType;
@Column(name = "quality_flag",tag = true)
private String qualityFlag="0";
@Column(name = "value_type",tag = true)
private String valueType;
@Column(name = "i_neg")
private Double iNeg;
@Column(name = "i_pos")
private Double iPos;
@Column(name = "i_thd")
private Double iThd;
@Column(name = "i_unbalance")
private Double iUnbalance;
@Column(name = "i_zero")
private Double iZero;
@Column(name = "rms")
private Double rms;
@Column(name = "i_1")
private Double i1;
@Column(name = "i_2")
private Double i2;
@Column(name = "i_3")
private Double i3;
@Column(name = "i_4")
private Double i4;
@Column(name = "i_5")
private Double i5;
@Column(name = "i_6")
private Double i6;
@Column(name = "i_7")
private Double i7;
@Column(name = "i_8")
private Double i8;
@Column(name = "i_9")
private Double i9;
@Column(name = "i_10")
private Double i10;
@Column(name = "i_11")
private Double i11;
@Column(name = "i_12")
private Double i12;
@Column(name = "i_13")
private Double i13;
@Column(name = "i_14")
private Double i14;
@Column(name = "i_15")
private Double i15;
@Column(name = "i_16")
private Double i16;
@Column(name = "i_17")
private Double i17;
@Column(name = "i_18")
private Double i18;
@Column(name = "i_19")
private Double i19;
@Column(name = "i_20")
private Double i20;
@Column(name = "i_21")
private Double i21;
@Column(name = "i_22")
private Double i22;
@Column(name = "i_23")
private Double i23;
@Column(name = "i_24")
private Double i24;
@Column(name = "i_25")
private Double i25;
@Column(name = "i_26")
private Double i26;
@Column(name = "i_27")
private Double i27;
@Column(name = "i_28")
private Double i28;
@Column(name = "i_29")
private Double i29;
@Column(name = "i_30")
private Double i30;
@Column(name = "i_31")
private Double i31;
@Column(name = "i_32")
private Double i32;
@Column(name = "i_33")
private Double i33;
@Column(name = "i_34")
private Double i34;
@Column(name = "i_35")
private Double i35;
@Column(name = "i_36")
private Double i36;
@Column(name = "i_37")
private Double i37;
@Column(name = "i_38")
private Double i38;
@Column(name = "i_39")
private Double i39;
@Column(name = "i_40")
private Double i40;
@Column(name = "i_41")
private Double i41;
@Column(name = "i_42")
private Double i42;
@Column(name = "i_43")
private Double i43;
@Column(name = "i_44")
private Double i44;
@Column(name = "i_45")
private Double i45;
@Column(name = "i_46")
private Double i46;
@Column(name = "i_47")
private Double i47;
@Column(name = "i_48")
private Double i48;
@Column(name = "i_49")
private Double i49;
@Column(name = "i_50")
private Double i50;
}

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package com.njcn.po.influx;
import com.fasterxml.jackson.annotation.JsonIgnore;
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_inharm_i")
public class DataInharmI {
@TimeColumn
@Column(name = "time",tag = true)
@JsonSerialize(using = InstantDateSerializer.class)
@JsonIgnore
private Instant time;
private String timeId;
@Column(name = "line_id",tag = true)
private String lineId;
@Column(name = "phasic_type",tag = true)
private String phasicType;
@Column(name = "quality_flag",tag = true)
private String qualityFlag="0";
@Column(name = "value_type",tag = true)
private String valueType;
@Column(name = "i_1")
private Double i1;
@Column(name = "i_2")
private Double i2;
@Column(name = "i_3")
private Double i3;
@Column(name = "i_4")
private Double i4;
@Column(name = "i_5")
private Double i5;
@Column(name = "i_6")
private Double i6;
@Column(name = "i_7")
private Double i7;
@Column(name = "i_8")
private Double i8;
@Column(name = "i_9")
private Double i9;
@Column(name = "i_10")
private Double i10;
@Column(name = "i_11")
private Double i11;
@Column(name = "i_12")
private Double i12;
@Column(name = "i_13")
private Double i13;
@Column(name = "i_14")
private Double i14;
@Column(name = "i_15")
private Double i15;
@Column(name = "i_16")
private Double i16;
@Column(name = "i_17")
private Double i17;
@Column(name = "i_18")
private Double i18;
@Column(name = "i_19")
private Double i19;
@Column(name = "i_20")
private Double i20;
@Column(name = "i_21")
private Double i21;
@Column(name = "i_22")
private Double i22;
@Column(name = "i_23")
private Double i23;
@Column(name = "i_24")
private Double i24;
@Column(name = "i_25")
private Double i25;
@Column(name = "i_26")
private Double i26;
@Column(name = "i_27")
private Double i27;
@Column(name = "i_28")
private Double i28;
@Column(name = "i_29")
private Double i29;
@Column(name = "i_30")
private Double i30;
@Column(name = "i_31")
private Double i31;
@Column(name = "i_32")
private Double i32;
@Column(name = "i_33")
private Double i33;
@Column(name = "i_34")
private Double i34;
@Column(name = "i_35")
private Double i35;
@Column(name = "i_36")
private Double i36;
@Column(name = "i_37")
private Double i37;
@Column(name = "i_38")
private Double i38;
@Column(name = "i_39")
private Double i39;
@Column(name = "i_40")
private Double i40;
@Column(name = "i_41")
private Double i41;
@Column(name = "i_42")
private Double i42;
@Column(name = "i_43")
private Double i43;
@Column(name = "i_44")
private Double i44;
@Column(name = "i_45")
private Double i45;
@Column(name = "i_46")
private Double i46;
@Column(name = "i_47")
private Double i47;
@Column(name = "i_48")
private Double i48;
@Column(name = "i_49")
private Double i49;
@Column(name = "i_50")
private Double i50;
}

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package com.njcn.po.influx;
import com.fasterxml.jackson.annotation.JsonIgnore;
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_inharm_v")
public class DataInharmV {
@Column(name = "time",tag =true)
@TimeColumn
@JsonSerialize(using = InstantDateSerializer.class)
@JsonIgnore
private Instant time;
private String timeId;
@Column(name = "line_id",tag = true)
private String lineId;
@Column(name = "phasic_type",tag = true)
private String phasicType;
@Column(name = "quality_flag",tag = true)
private String qualityFlag="0";
@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;
}

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package com.njcn.po.influx;
import com.fasterxml.jackson.annotation.JsonIgnore;
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 2022/4/12 16:01
*/
@Data
@Measurement(name = "data_plt")
public class DataPlt {
@Column(name = "time",tag =true)
@TimeColumn
@JsonSerialize(using = InstantDateSerializer.class)
@JsonIgnore
private Instant time;
private String timeId;
@Column(name = "line_id",tag = true)
private String lineId;
@Column(name = "phasic_type",tag = true)
private String phasicType;
@Column(name = "quality_flag",tag = true)
private String qualityFlag="0";
@Column(name = "plt")
private Double plt;
}

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package com.njcn.po.influx;
import com.alibaba.excel.annotation.ExcelProperty;
import com.alibaba.excel.annotation.write.style.ColumnWidth;
import com.fasterxml.jackson.annotation.JsonIgnore;
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 org.springframework.format.annotation.DateTimeFormat;
import java.time.Instant;
/**
* 类的介绍:
*
* @author xuyang
* @version 1.0.0
* @createTime 2022/4/7 10:00
*/
@Data
@Measurement(name = "data_v")
public class DataV {
@TimeColumn
@Column(name = "time", tag = true)
@JsonSerialize(using = InstantDateSerializer.class)
@DateTimeFormat(pattern = "yyyy-MM-dd HH:mm:ss")
@JsonIgnore
private Instant time;
@ExcelProperty(value = "时间",index = 1)
@ColumnWidth(30)
private String timeId;
@Column(name = "line_id", tag = true)
@ExcelProperty(value = "监测点id",index = 0)
@ColumnWidth(30)
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="0";
//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 = "rms")
private Double rms;
@Column(name = "rms_lvr")
private Double rmsLvr;
@Column(name = "vl_dev")
private Double vlDev;
@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;
@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;
}

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package com.njcn.po.influx;
import com.alibaba.excel.annotation.ExcelProperty;
import com.alibaba.excel.annotation.write.style.ColumnWidth;
import com.fasterxml.jackson.annotation.JsonIgnore;
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
*/
@Data
@Measurement(name = "pqs_communicate")
public class PqsCommunicate {
@TimeColumn
@Column(name = "time",tag = true)
@JsonSerialize(using = InstantDateSerializer.class)
@JsonIgnore
private Instant time;
@ExcelProperty(value = "时间",index = 1)
private String timeId;
@Column(name = "dev_id",tag = true)
@ExcelProperty(value = "终端id",index = 0)
@ColumnWidth(30)
private String devId;
@Column(name = "description")
private String description;
@Column(name = "type")
private Integer type;
}

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package com.njcn.po.mysql;
import com.baomidou.mybatisplus.annotation.IdType;
import com.baomidou.mybatisplus.annotation.TableField;
import com.baomidou.mybatisplus.annotation.TableId;
import com.baomidou.mybatisplus.annotation.TableName;
import com.fasterxml.jackson.annotation.JsonFormat;
import io.swagger.annotations.ApiModel;
import io.swagger.annotations.ApiModelProperty;
import lombok.Data;
import java.io.Serializable;
import java.time.LocalDateTime;
/**
* 暂降明细实体类
*
* @author yzh
* @since 2022-10-12 18:34:55
*/
@Data
@TableName("r_mp_event_detail")
@ApiModel(value="RmpEventDetail对象")
public class RmpEventDetail implements Serializable {
private static final long serialVersionUID = 1L;
@ApiModelProperty(value = "暂时事件ID")
@TableId(value = "event_id", type = IdType.ASSIGN_ID)
private String eventId;
@ApiModelProperty(value = "监测点ID(复制)")
@TableField("measurement_point_id")
private String measurementPointId;
@ApiModelProperty(value = "统计类型")
private String eventType;
@ApiModelProperty(value = "暂降原因Event_Reason")
@TableField("advance_reason")
private String advanceReason;
@ApiModelProperty(value = "暂降类型Event_Type")
@TableField("advance_type")
private String advanceType;
@ApiModelProperty(value = "事件关联分析表Guid")
private String eventassIndex;
@ApiModelProperty(value = "dq计算持续时间 ")
private Double dqTime;
@ApiModelProperty(value = "特征值计算更新时间外键PQS_Relevance的Time字段")
private LocalDateTime dealTime;
@ApiModelProperty(value = "默认事件个数为0")
private Integer num;
@ApiModelProperty(value = "波形文件是否从装置招到本地(0未招1已招)默认值为0")
private Integer fileFlag;
@ApiModelProperty(value = "特征值计算标志0未处理1已处理; 2已处理无结果;3计算失败默认值为0")
private Integer dealFlag;
@ApiModelProperty(value = "处理结果第一条事件发生时间(读comtra文件获取)")
private LocalDateTime firstTime;
@ApiModelProperty(value = "处理结果第一条事件暂降类型字典表PQS_Dicdata")
private String firstType;
@ApiModelProperty(value = "处理结果第一条事件发生时间毫秒(读comtra文件获取)")
private Double firstMs;
@ApiModelProperty(value = "暂降能量")
private Double energy;
@ApiModelProperty(value = "暂降严重度")
private Double severity;
@ApiModelProperty(value = "暂降源与监测位置关系 Upper:上游Lower :下游Unknown :未知;为空则是未计算")
private String sagsource;
@ApiModelProperty(value = "开始时间")
@JsonFormat(pattern = "yyyy-MM-dd HH:mm:ss.SSS")
private LocalDateTime startTime;
@ApiModelProperty(value = "格式化开始时间")
@TableField(exist = false)
private String formatTime;
@ApiModelProperty(value = "持续时间,单位秒")
private Double duration;
@ApiModelProperty(value = "特征幅值")
private Double featureAmplitude;
@ApiModelProperty(value = "相别")
private String phase;
@ApiModelProperty(value = "事件描述")
private String eventDescribe;
@ApiModelProperty(value = "波形路径")
private String wavePath;
@ApiModelProperty(value = "暂降核实原因")
@TableField("verify_reason")
private String verifyReason;
@ApiModelProperty(value = "暂降核实原因详情")
@TableField("verify_reason_detail")
private String verifyReasonDetail;
private Double transientValue;
private LocalDateTime createTime;
@ApiModelProperty(value = "用于计算数量")
@TableField(exist = false)
private Integer count;
}