Question

我有一个与房间相关的模型消息

class Message(models.Model):
    room = models.ForeignKey(Room, on_delete=False, related_name='messages')
    text = models.TextField()
    created = models.DateTimeField(auto_now_add=True)

我的房间序列化器。

class RoomSerializer(serializers.ModelSerializer):
   messages = MessageSerializer(read_only=True, many=True, allow_null=True)

    class Meta:
        model = Room
        fields = '__all__'

当我获得room/10/时，我得到所有消息的空间。没关系。但是我需要在今天，昨天和其他地方创建消息group_by。最佳实践怎么样？也许它应该在前端完成，因为我只开发API？

示例：现在我得到了

{
"id": 10,
"messages": [{
        "room": 10,
        "text": "Messsage text",
        "created": "2018-03-01T10:15:49.689655Z"
    },
    {
        "room": 10,
        "text": "Messsage text 2",
        "created": "2018-03-02T10:15:49.689655Z"
    }
]

}

我想得到这样的东西

{
"id": 10,
"messages": [{
        "today": [{
            "room": 10,
            "text": "Messsage text",
            "created": "2018-03-01T10:15:49.689655Z"
        }]
    },
    {
        "yesterday": [{
            "room": 10,
            "text": "Messsage text 2",
            "created": "2018-03-02T10:15:49.689655Z"
        }]
    }
]

}

Answer 1

我认为您最好选择使用serializers.SerializerMethodField邮件：

import datetime
from itertools import groupby

class RoomSerializer(serializers.ModelSerializer):
    messages = serializers.SerializerMethodField()

    class Meta:
        model = Room
        fields = '__all__'

    def get_messages(self, obj):
        messages = obj.messages.all()

        messages_grouped_by_date = groupby(messages.iterator(), lambda m: m.created.date())

        messages_dict = {}

        for date, group_of_messages in messages_grouped_by_date:
            dict_key = date.strftime('%Y-%m-%d')
            if date == datetime.date.today():
                dict_key = 'today'
            elif date == (datetime.date.today() - datetime.timedelta(days=1)):
                dict_key = 'yesterday'

            messages_dict[dict_key] = MessageSerializer(group_of_messages, many=True).data

        return messages_dict

Django REST Group按日期时间字段分为今天，昨天等

1 个答案: