我如何在Django Rest序列化器中批量创建 [英] How can i bulk create in django rest serializer

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问题描述

我曾经使用 allow_add_remove = True ,它在django rest 2.0中可用,用于编写可嵌套的序列化程序,但在3.0中不可用,我很难实现它。

I used to use allow_add_remove=True which was availabe in django rest 2.0 for writing nestable serializer but its not available in 3.0 and i am having hard time implementing it.

我想做这样的事情

class UserSerialzier():
    project = ProjectSerilaizer(many=True, allow_add_remove=True, read_only=False)


class ProjectSerialzier():
    ideas = IdeaSerilaizer(many=True, allow_add_remove=True, read_only=False)
    sources = SourceSerilaizer(many=True, allow_add_remove=True, read_only=False)

class IdeaSerialzier():
    pass

class SourceSerialzier():
    pass      

现在我不知道如何实现allow_add_remove行为在DRF 3.0中

Now i am not able to know how can i implement the allow_add_remove behavior in DRF 3.0

我很困惑,我是否需要覆盖 create update UserSerializer的方法

I am confused that do i need to override create and update method of UserSerializer

或者我需要创建sep每个模型的价目表IdeaListSerializer

or i need to create separate IdeaListSerializer for every model

class IdeaListSerializer(serializers.ListSerializer):
    def create(self, validated_data):
        ideas = [Idea(**item) for item in validated_data]
        return Ideas.objects.bulk_create(books)


推荐答案

是的,您确实需要覆盖 create update UserSerializer 的c $ c>方法。

Yes you do need to override create and update methods of your UserSerializer.

我花了很多时间试图使嵌套可写序列化程序可与DRF 2.x一起使用,而我修复的问题越多,出现用例的问题就越多。

I've spent a lot of time trying to make nested writable serializers work with DRF 2.x and the more I fixed issues the more issues were risen with corner use cases.

因此,Tom决定将其留给开发人员来处理创建和更新。

Therefore Tom decided that it should be left up to the developer to handle the creation and updates.

文档为创建1嵌套级别提供了一个示例,但对于更新和/或wi来说都是相同的嵌套级别更高

The documentation provides an example for a 1 nesting level creation but it's the same for update and/or with more nesting level

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