/**
* 该方法是usersToMapSortedConvertor(List<User> users,String client_id)方法的改良版，
* 核心作用相同，除了有按行业排序，该方法多了一层按距离排序。现根据行业排序，然后根据距离排序
*
* @param users
* @return notice:在推荐的同行中如果有人没有location记录，则为其设置一个默认坐标
*/
public Map<String, Object> usersToMapSortedWithDistanceConvertor(List<User> users, User me) {
List<Map<String, Object>> usersmsg = new ArrayList<Map<String, Object>>();
for (User u : users) {
Map<String, Object> msg = new HashMap<String, Object>();
msg.put(
"user",
userMapBuilder(
u,
me.getClient_id(),
conditionGenetator("hasFriend", "hasRoom", "hasDistance") /*true,true,true*/));
usersmsg.add(msg);
}
// 排序操作，详细请看 SortUtil 类
usersmsg = SortUtil.sortByLabelName(usersmsg, me.getLabelnames());
if (locationService.findLocationByUser(me) != null)
usersmsg = SortUtil.sortByDistance(usersmsg);
return generateResult(usersmsg);
}
// 封装用户间的距离信息
private void distanceUserMap(User user, String client_id, Map<String, Object> msg) {
Location my_local = locationService.findLocationByUser(userService.findUserById(client_id));
msg.put("distance", locationService.computeDistance(user, my_local));
}