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
 */
@Data
@Measurement(name = "data_flicker")
public class DataFlicker {

    @TimeColumn
    @Column(name = "time", tag = true)
    @JsonSerialize(using = InstantDateSerializer.class)
    private Instant time;

    @Column(name = "fluc")
    private Double fluc;

    @Column(name = "line_id", tag = true)
    private String lineId;

    @Column(name = "phasic_type", tag = true)
    private String phaseType;

    @Column(name = "plt")
    private Double plt;

    @Column(name = "pst")
    private Double pst;

    @Column(name = "quality_flag", tag = true)
    private String qualityFlag;


    //自定义字段
    @Column(name = "value_type")
    private String valueType;

    @Column(name = "count")
    private Integer count;

    @Column(name = "pst_count")
    private Integer pstCount;

    @Column(name = "plt_count")
    private Integer pltCount;
    //是否是异常指标数据，0否1是
    @Column(name = "abnormal_flag")
    private Integer abnormalFlag;

    @Column(name = "cl_did")
    private String clDid;

    @Column(name = "process")
    private String process;
}