DRF序列化器(many=True)和ListField(serializer())之间有什么区别

MySerializer(many=True) -您可以在以下时间使用 MySerializer 对每个对象进行序列化。
serializers.ListField(child=MySerializer()) -如果你不仅想序列化对象,还想序列化结果可迭代数据,你可以使用这个。

例如,您希望为每个对象附加其在结果列表中的位置:

class ListSerializerWithIds(serializers.ListSerializer):
    @property
    def data(self):
        data = super().data

        result = []
        for i, d in enumerate(data):
            d["list_id"] = i
            result.append(d)
        return result

class MySerializer(serializers.Serializer):
    a = serializer.CharField()

    @classmethod
    def many_init(cls, *args, **kwargs):
        kwargs["child"] = cls()
        return ListSerializerWithIds(*args, **kwargs)

现在,如果您将获得以下结果数据 MySerialier 它看起来像:

objects = [{"a": "a1", "b": "b1"}, {"a": "a2", "c": "c2"}]
serializer = MySerializer(objects, many=True)
serializer.data
# [{"a": "a1", "list_id": 0}, {"a": "a2", "list_id": 1}]

此外,您还可以使用 序列化器。ListField(child=MySerializer()) 作为另一个序列化器的字段:

class MySerializer(serializers.Serializer):
    a = serializers.CharField()

class AnotherSerializer(serializers.Serializer):
    my_data = serializers.ListField(child=MySerializer())

现在看看结果:

objects = [{"my_data": [{"a": "a1", "b": "b1"}], "tralala": "blablabla"}, ]
serializer = AnotherSerializer(objects, many=True)
serializer.data
# [{"my_data": [{"a": "a1"}]}, ]