package org.jeecg.modules.stm.metric.entity;

import java.io.Serializable;
import java.io.UnsupportedEncodingException;
import java.util.Date;
import java.math.BigDecimal;
import com.baomidou.mybatisplus.annotation.IdType;
import com.baomidou.mybatisplus.annotation.TableId;
import com.baomidou.mybatisplus.annotation.TableName;
import com.baomidou.mybatisplus.annotation.TableLogic;
import lombok.Data;
import com.fasterxml.jackson.annotation.JsonFormat;
import org.springframework.format.annotation.DateTimeFormat;
import org.jeecgframework.poi.excel.annotation.Excel;
import org.jeecg.common.aspect.annotation.Dict;
 

import lombok.EqualsAndHashCode;
import lombok.experimental.Accessors;

/**
 * @Description: 监测报告配置
 * @Author: jeecg-boot
 * @Date:   2024-01-04
 * @Version: V1.0
 */
@Data
@TableName("metric_stat_set")
@Accessors(chain = true)
@EqualsAndHashCode(callSuper = false)

 
public class MetricStatSet implements Serializable {
    private static final long serialVersionUID = 1L;

	/**pk*/
	@TableId(type = IdType.AUTO)

    private Integer id;

    /**报告类型*/
	@Excel(name = "报告类型", width = 15)

    @Dict(dicCode="metric_sta_report_tp")
    private Integer tp;

	/**报告标题*/
	@Excel(name = "报告标题", width = 15)

    private String heading;

    @Excel(name = "副标题", width = 15)

    private String subtitle;

    /**部门id*/
	@Excel(name = "部门id", width = 15)

    @Dict(dictTable ="sys_depart",dicText = "depart_name",dicCode = "id")
    private String departId;
	/**
     * 统计方法
     * 1:领域 2:类别
     */
	@Excel(name = "统计方法", width = 15)

    @Dict(dicCode="metric_sta_method")
    private Integer statMethod;
	/**优秀*/
	@Excel(name = "优秀", width = 15)

    private Float level1;
	/**良好*/
	@Excel(name = "良好", width = 15)

    private Float level2;
	/**一般*/
	@Excel(name = "一般", width = 15)

    private Float level3;
	/**较差*/
	@Excel(name = "较差", width = 15)

    private Float level4;
	/**差*/
	@Excel(name = "差", width = 15)

    private Float level5;
}
