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按昂贵的属性值对模型元素进行排序并确保属性值在许多请求/响应迭代中持续存在的最佳方法是什么？我可能会尝试类似：

class Player(models.Model):
    name = models.CharField(max_length=100)

    @classmethod
    def sorted_by_player_scores(cls, league):
        'would be very nice to be able to use a simple query here'
        from operator import itemgetter

        try:
            return sorted(cls.player_score_list, key=itemgetter(1), reverse=True)            

        except Attribute Error:
            players = cls.objects.all()
            for player in players:
                player_score_list = []
                try:
                    player_score_list.append((player, player.player_score))
                except AttributeError:
                    league_player = LeaguePlayer(league, player)
                    player_score_list.append((player, league_player.player_score))

            cls.player_score_list = player_score_list
            return sorted(player_score_list, key=itemgetter(1), reverse=True)


class League(models.Model):
    name = models.CharField(max_length=100)
    league_size = models.IntegerField()
    scoring_rules = ...

class LeaguePlayer():
    def __init__(self, league, player):
        self.league = league
        self.player = player

    @property  # is cached_property usable/useful here?
    def player_score(self):
        self.player.player_score = very_expensive_calculation()
        return self.player.player_score

    def many_other_properties_and_methods_against_LeaguePlayers

我觉得我的问题将是一个常见的 django 问题，但我找不到一个简单的解决方案，甚至找不到一些一般的最佳实践讨论。我知道我可以制作class LeaguePlayer()一个 django 模型，而不仅仅是一个 python 类。@property但是当我要保存的值很容易被标签包装时，我不想实际创建/保存这些数据表。

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