/*
* 读取会议室信息 创建空闲时间表
* 1.得出所有的会议室信息 HashMap
* 2.得到未来两周的预定记录 ArrayList
*
* 再对应处理每一个会议室未来两周的空闲时间记录表 map
*
* map[i][j] 表示其相应的会议室距离今天第 i 天的第 j 个时间段状态
* map[i][j] = 1 表示被占用
* map[i][j] = 0表示该会议室该时间段空闲
*
*/
public void config() {
// 所有会议室信息
allConfrenceRoomInfo = conferenceRoomDao.getAllConferenceRoomInfoToHash();
// 未来两周预定记录
bookingRecords = conferenceRecordDao.getBookingConferenceRecordVo();
// 读取 map PS:存储时完全严格按照朝九晚五的模式且半小时为一个单位, 所以读取 map 直接处理即可
for (int i = 0; i < bookingRecords.size(); i++) {
ConferenceRecordVo recordVo = bookingRecords.get(i);
int conferenceRoomId = recordVo.getConferenceId();
ConferenceRoomVo roomVo = allConfrenceRoomInfo.get(Integer.valueOf(conferenceRoomId));
roomVo.setFreeTimeMap(recordVo, 1);
}
}
// 得到所有的会议室信息
public HashMap<Integer, ConferenceRoomVo> getAllConferenceRoomInfoToHash() {
HashMap<Integer, ConferenceRoomVo> AllConferenceRooms =
new HashMap<Integer, ConferenceRoomVo>();
String sql = "select * from conferenceRoom";
String[] parameters = {};
ArrayList<Object[]> conferences = SqlHelper.executeQuery(sql, parameters);
for (int i = 0; i < conferences.size(); i++) {
Object[] ob = conferences.get(i);
Integer key = Integer.valueOf(ob[0].toString());
ConferenceRoomVo conferenceRoomVo = new ConferenceRoomVo();
conferenceRoomVo.setConferenceId(Integer.parseInt(ob[0].toString()));
conferenceRoomVo.setConferenceCapital(Integer.parseInt(ob[1].toString()));
conferenceRoomVo.setConferenceLocation(ob[2].toString());
AllConferenceRooms.put(key, conferenceRoomVo);
}
return AllConferenceRooms;
}
