So I have follwoing models:
class A(models.Model):
name = models.CharField()
age = models.SmallIntergerField()
class B(models.Model):
a = models.OneToOneF
I just encountered the same problem, it would indeed be useful to make the response structure less tied to the underlying model structure. Here's my take :
Serializer fields have a source
parameter, which can take dotted names to traverse attributes.
class ABSerializer(serializers.ModelSerializer):
class Meta:
model = A
fields = ['name', 'age', 'salary']
salary = serializer.IntegerField(source='b.salary') # this is your related_name
Validated data will show a nested structure, and the standard create and update methods will choke trying to assign a data dict to a OneToOneField. The good news is that you can work around it by overriding create and update methods. Here's an example with update :
class ABSerializer(serializers.ModelSerializer):
class Meta:
model = A
fields = ['name', 'age', 'salary']
related_fields = ['b']
salary = serializer.IntegerField(source='b.salary') # this is your related_name
def update(self, instance, validated_data):
# Handle related objects
for related_obj_name in self.Meta.related_fields:
# Validated data will show the nested structure
data = validated_data.pop(related_obj_name)
related_instance = getattr(instance, related_obj_name)
# Same as default update implementation
for attr_name, value in data.items():
setattr(related_instance, attr_name, value)
related_instance.save()
return super(ABSerializer,self).update(instance, validated_data)
Of course, this example is very simplistic, doesn't do any exception handling, and won't work with more deeply nested objects... but you get the idea.
You could also create a read-write flavor of SerializerMethodField, which would consider both a getter and a setter, however that would probably end up being far more verbose in the end.
Hope that helps !