With django-rest-framework 3.0 and having these simple models:
class Book(models.Model):
title = models.CharField(max_length=50)
class Page(models.Model):
book = models.ForeignKey(Books, related_name='related_book')
text = models.CharField(max_length=500)
And given this JSON request:
{
"book_id":1,
"pages":[
{
"page_id":2,
"text":"loremipsum"
},
{
"page_id":4,
"text":"loremipsum"
}
]
}
How can I write a nested serializer to process this JSON and for each page
for the given book
either create a new page or update if it exists.
class RequestSerializer(serializers.Serializer):
book_id = serializers.IntegerField()
page = PageSerializer(many=True)
class PageSerializer(serializers.ModelSerializer):
class Meta:
model = Page
I know that instantiating the serializer with an instance
will update the current one but how should I use it inside the create
method of nested serializer?
DRF provides a Serializer class that gives you a powerful, generic way to control the output of your responses, as well as a ModelSerializer class that provides a useful shortcut for creating serializers that deal with model instances and querysets.
In function based views we can pass extra context to serializer with "context" parameter with a dictionary. To access the extra context data inside the serializer we can simply access it with "self. context". From example, to get "exclude_email_list" we just used code 'exclude_email_list = self.
Firstly, do you want to support creating new book instances, or only updating existing ones?
If you only ever wanted to create new book instances you could do something like this...
class PageSerializer(serializers.Serializer):
text = serializers.CharField(max_length=500)
class BookSerializer(serializers.Serializer):
page = PageSerializer(many=True)
title = serializers.CharField(max_length=50)
def create(self, validated_data):
# Create the book instance
book = Book.objects.create(title=validated_data['title'])
# Create or update each page instance
for item in validated_data['pages']:
page = Page(id=item['page_id'], text=item['text'], book=book)
page.save()
return book
Note that I haven't included the book_id
here. When we're creating book instances we won't be including a book id. When we're updating book instances we'll typically include the book id as part of the URL, rather than in the request data.
If you want to support both create and update of book instances then you need to think about how you want to handle pages that are not included in the request, but are currently associated with the book instance.
You might choose to silently ignore those pages and leave them as they are, you might want to raise a validation error, or you might want to delete them.
Let's assume that you want to delete any pages not included in the request.
def create(self, validated_data):
# As before.
...
def update(self, instance, validated_data):
# Update the book instance
instance.title = validated_data['title']
instance.save()
# Delete any pages not included in the request
page_ids = [item['page_id'] for item in validated_data['pages']]
for page in instance.books:
if page.id not in page_ids:
page.delete()
# Create or update page instances that are in the request
for item in validated_data['pages']:
page = Page(id=item['page_id'], text=item['text'], book=instance)
page.save()
return instance
It's also possible that you might want to only support book updates, and not support creation, in which case, only include the update()
method.
There are also various ways you could reduce the number of queries eg. using bulk create/deletion, but the above would do the job in a fairly straightforward way.
As you can see there are subtleties in the types of behavior you might want when dealing with nested data, so think carefully about exactly what behavior you're expecting in various cases.
Also note that I've been using Serializer
in the above example rather than ModelSerializer
. In this case it's simpler just to include all the fields in the serializer class explicitly, rather than relying on the automatic set of fields that ModelSerializer
generates by default.
You can simply use drf-writable-nested. It automatically make your nested serializers writable and updatable.
in you serializers.py
:
from drf_writable_nested import WritableNestedModelSerializer
class RequestSerializer(WritableNestedModelSerializer):
book_id = serializers.IntegerField()
page = PageSerializer(many=True)
class PageSerializer(serializers.ModelSerializer):
class Meta:
model = Page
And that's it!
Also the library supports using only one of the create
and update
logics if you don't need both.
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