package com.dy.pipIrrGlobal.daoRm;

import com.baomidou.mybatisplus.core.mapper.BaseMapper;
import com.dy.pipIrrGlobal.pojoRm.RmLossDay;
import com.dy.pipIrrGlobal.voRm.VoLossDay;
import com.dy.pipIrrGlobal.voSt.VoDayLoss;
import com.dy.pipIrrGlobal.voSt.VoIntakeLossStatistics;
import org.apache.ibatis.annotations.Mapper;
import org.apache.ibatis.annotations.Param;

import java.util.Date;
import java.util.List;
import java.util.Map;

/**
 * @Author liurunyu
 * @Date 2024/2/28 15:31
 * @LastEditTime 2024/2/28 15:31
 * @Description
 */   
@Mapper
public interface RmLossDayMapper extends BaseMapper<RmLossDay> {
    /**
     * delete by primary key
     * @param id primaryKey
     * @return deleteCount
     */
    int deleteByPrimaryKey(Long id);

    /**
     * insert record to table
     * @param record the record
     * @return insert count
     */
    int insert(RmLossDay record);

    /**
     * insert record to table selective
     * @param record the record
     * @return insert count
     */
    int insertSelective(RmLossDay record);

    /**
     * select by primary key
     * @param id primary key
     * @return object by primary key
     */
    RmLossDay selectByPrimaryKey(Long id);

    /**
     * select by rtuAddr
     * @param intakeId 控制器所绑取水口ID
     * @return object by rtuAddr
     */
    List<RmLossDay> selectByIntakeId(Long intakeId) ;
   /**
    /**
     * select by dt
     * @param date 日期（yyyy-mm-dd）
     * @return object by rtuAddr
     */
    List<RmLossDay> selectByDate(Date date) ;

    /**
     * update record selective
     * @param record the updated record
     * @return update count
     */
    int updateByPrimaryKeySelective(RmLossDay record);

    /**
     * update record
     * @param record the updated record
     * @return update count
     */
    int updateByPrimaryKey(RmLossDay record);

    /**
     * 根据指定条件获取记录总数
     * @param params
     * @return
     */
    Long getRecordCount(Map<?, ?> params);

    /**
     * 根据指定条件获取记录
     * @param params
     * @return
     */
    List<VoLossDay> getLossDayHistory(Map<?, ?> params);


    /**
     * 以取水口维度统计漏损量
     * @param statisticsStartId 统计时间段开始时间对应的ID
     * @param statisticsEndId 统计时间段结束时间对应的ID
     * @return
     */
    List<VoIntakeLossStatistics> statisticsByIntake(@Param("startId")Long statisticsStartId, @Param("endId")Long statisticsEndId) ;

    ////////////////////////////////////////////////
    // 统计查询
    ///////////////////////////////////////////////

    /**
     * 为查询统计取水口日漏损量，统计取水口数量
     * @param intakeN
     * @return
     */
    Long selectIntakeCount4LossDay(@Param("intakeNum")String intakeN) ;

    /**
     * 为查询统计取水口日漏损量，查询一页取水口ID
     * @param params
     * @return
     */
    List<VoDayLoss> selectIntakes4LossDay(Map<?, ?> params) ;

    /**
     * 查询统计取水口日漏损量
     * @param params
     * @return
     */
    //下面1到31号分了6个查询，原因是入一个查询中，非常慢，不知道什么原因，也许是子查询太多的原因
    List<VoDayLoss> selectLossAmountOfDay01_05(Map<?, ?> params);
    List<VoDayLoss> selectLossAmountOfDay06_10(Map<?, ?> params);
    List<VoDayLoss> selectLossAmountOfDay11_15(Map<?, ?> params);
    List<VoDayLoss> selectLossAmountOfDay16_20(Map<?, ?> params);
    List<VoDayLoss> selectLossAmountOfDay21_25(Map<?, ?> params);
    List<VoDayLoss> selectLossAmountOfDay26_31(Map<?, ?> params);
}