perf(attendance): 优化考勤对比逻辑以及性能

- 实现批量删除和插入操作，减少数据库交互次数
- 预加载员工打卡记录，避免按排班逐条查询的性能问题
- 添加跨天班次标识字段，简化跨天判断逻辑
- 使用缓存机制计算连续旷工天数，替代逐天查询
- 优化过滤窗口逻辑，提高数据处理效率
- 添加批处理大小限制，防止单次操作数据量过大

klp-wms/src/main/resources/mapper/klp/WmsAttendanceScheduleMapper.xml

@@ -36,12 +36,13 @@
         <result property="shiftStartTime2" column="shift_start_time2"/>
         <result property="shiftEndTime2" column="shift_end_time2"/>
         <result property="workHours" column="work_hours"/>
+        <result property="shiftIsCrossDay" column="shift_is_cross_day"/>
     </resultMap>
 
     <sql id="selectScheduleWithDetailsVo">
         SELECT s.schedule_id, s.user_id, s.work_date, s.shift_id, s.shift_name, s.shift_group, s.remark,
                e.name as employee_name, e.dept as employee_dept, e.job_type as employee_job_type,
-               sh.shift_type, sh.start_time as shift_start_time, sh.end_time as shift_end_time, sh.start_time2 as shift_start_time2, sh.end_time2 as shift_end_time2, sh.work_hours
+               sh.shift_type, sh.start_time as shift_start_time, sh.end_time as shift_end_time, sh.start_time2 as shift_start_time2, sh.end_time2 as shift_end_time2, sh.work_hours, sh.is_cross_day as shift_is_cross_day
         FROM wms_attendance_schedule s
         LEFT JOIN wms_employee_info e ON s.user_id = e.info_id AND e.del_flag = 0
         LEFT JOIN wms_attendance_shift sh ON s.shift_id = sh.shift_id AND sh.del_flag = 0