So I have follwoing models:
class A(models.Model):
name = models.CharField()
age = models.SmallIntergerField()
class B(models.Model):
a = models.OneToOneField(A)
salary = model.IntergerField()
Now I want to create one rest end point for there two as they are one to one. So I want following as get
{
url: 'http://localhost/customs/1/',
name: 'abc',
age: 24,
salary: 10000
}
Similary, I want to create records and update as well. Please let me know how can I achieve this in django rest framework 3.
One to many relationships in Django models. To define a one to many relationship in Django models you use the ForeignKey data type on the model that has the many records (e.g. on the Item model). Listing 7-22 illustrates a sample of a one to many Django relationship.
This is used when one record of a model A is related to exactly one record of another model B. This field can be useful as a primary key of an object if that object extends another object in some way. For example – a model Car has one-to-one relationship with a model Vehicle, i.e. a car is a vehicle.
Serializers in Django REST Framework are responsible for converting objects into data types understandable by javascript and front-end frameworks. Serializers also provide deserialization, allowing parsed data to be converted back into complex types, after first validating the incoming data.
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 !
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