I have a 'through' model governing a many to many relationship and i want to be able to return the 'through' model and the target model as flat data, as opposed to having the target model nested.
So using the standard example for a many to many with a through, say these are the models,
class Person(models.Model): first_name = models.CharField(max_length=128) last_name = models.CharField(max_length=128) favourite_food = models.CharField(max_length=128) class Group(models.Model): name = models.CharField(max_length=128) members = models.ManyToManyField(Person, through='Membership') class Membership(models.Model): person = models.ForeignKey(Person) group = models.ForeignKey(Group) date_joined = models.DateField() invite_reason = models.CharField(max_length=64)
So the serializers i have at the moment to return Membership items are,
class MembershipSerializer(serializers.HyperlinkedModelSerializer): person = PersonSerializer() class Meta: model = Membership fields = ('id', 'url', 'group', 'date_joined', 'invite_reason', 'person') class PersonSerializer(serializers.HyperlinkedModelSerializer): class Meta: model = Person fields = ('first_name', 'last_name', 'favourite_food')
So when i retrieve a Membership model using the MembershipSerializer, i get this json,
{ 'id':1, 'url':'http://cheeselovers.com/api/member/1/' 'group':'http://cheeselovers.com/api/group/1/' 'date_joined': '2014-01-24T16:33:40.781Z', 'invite_reason': 'loves cheese', 'person':{ 'first_name':'Barry', 'last_name':'CheeseLover', 'favourite_food': 'cheese' } }
but what i'd like returned is this,
{ 'id':1, 'url':'http://cheeselovers.com/api/member/1/' 'group':'http://cheeselovers.com/api/group/1/' 'date_joined': '2014-01-24T16:33:40.781Z', 'invite_reason': 'loves cheese', 'first_name':'Barry', 'last_name':'CheeseLover', 'favourite_food': 'cheese' }
Now i realise that i could simply accomplish this by changing the MembershipSerializer to this,
class MembershipSerializer(serializers.HyperlinkedModelSerializer): first_name = serializers.Field(source='person.first_name') last_name = serializers.Field(source='person.last_name') favourite_food = serializers.Field(source='person.favourite_food') class Meta: model = Membership fields = ('id', 'url', 'group', 'date_joined', 'invite_reason', 'first_name', 'last_name', 'favourite_food')
BUT, the target model i have has 10 properties and the intermediary 'through' model only has read only props, so i already have a functioning serializer for the target model, that's used during the creation of the intermediary model.
It feels more DRY to be able to reuse this, so that if anything on the target model changes, i only have to make changes to it's serializer, for those changes to be then be reflected in the data returned by the intermediary's serializer.
So is there a way i can get the data from the PersonSerializer and add it to the Membership data, so that it's flat instead of nested?
...hope that all makes sense.
Here's an approach based on James's answer but for a newer version of Django Rest Framework and support for reading and writing (update of the nested field only, it should be easy enough to add creation, see DRF's documentation for that.)
class ProfileSerializer(serializers.ModelSerializer): class Meta: model = Profile fields = ('phone', 'some', 'other', 'fields') class UserDetailsSerializer(serializers.ModelSerializer): """User model with Profile. Handled as a single object, profile is flattened.""" profile = ProfileSerializer() class Meta: model = User fields = ('username', 'email', 'profile') read_only_fields = ('email', ) def to_representation(self, obj): """Move fields from profile to user representation.""" representation = super().to_representation(obj) profile_representation = representation.pop('profile') for key in profile_representation: representation[key] = profile_representation[key] return representation def to_internal_value(self, data): """Move fields related to profile to their own profile dictionary.""" profile_internal = {} for key in ProfileSerializer.Meta.fields: if key in data: profile_internal[key] = data.pop(key) internal = super().to_internal_value(data) internal['profile'] = profile_internal return internal def update(self, instance, validated_data): """Update user and profile. Assumes there is a profile for every user.""" profile_data = validated_data.pop('profile') super().update(instance, validated_data) profile = instance.profile for attr, value in profile_data.items(): setattr(profile, attr, value) profile.save() return instance
James' answer is what I finally used. As I had several serializers using this method, I converted it to a mixin:
class FlattenMixin(object): """Flatens the specified related objects in this representation""" def to_representation(self, obj): assert hasattr(self.Meta, 'flatten'), ( 'Class {serializer_class} missing "Meta.flatten" attribute'.format( serializer_class=self.__class__.__name__ ) ) # Get the current object representation rep = super(FlattenMixin, self).to_representation(obj) # Iterate the specified related objects with their serializer for field, serializer_class in self.Meta.flatten: serializer = serializer_class(context = self.context) objrep = serializer.to_representation(getattr(obj, field)) #Include their fields, prefixed, in the current representation for key in objrep: rep[field + "__" + key] = objrep[key] return rep
This way, you can do something like:
class MembershipSerializer(FlattenMixin, serializers.HyperlinkedModelSerializer): class Meta: model = Membership fields = ('id', 'url', 'group', 'date_joined', 'invite_reason') flatten = [ ('person', PersonSerializer) ]
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