Original Post in https://skamalakannan.dev/posts/django-rest-framework-tips/
Django Rest Framework is a powerful tool for creating API, and it comes with a lot of features. Here is the list of tips that will help in developing your API better.
Sending common field in all the responses
We might have use cases where we want to send a lot in all our responses, like resource URI, create date, or created user kind of fields.We can use serializer mixins for this purpose. Mixins are abstract classes, and we can define all the variables in these mixins, and we can inherit these mixins to the actual class.
from user.serializers import UserMinimumSerializer
class CreatedModifiedSerializer(serializers.Serializer):
created_date = serializers.DateTimeField(read_only=True)
created_by = UserMinimumSerializer(read_only=True)
modified_date = serializers.DateTimeField(read_only=True)
modified_by = UserMinimumSerializer(read_only=True)
class Meta:
abstract = True
class OrderSerializer(CreatedModifiedSerializer):
class Meta:
model = Order
fields = '__all__'
In the above example, we have created a CreatedModifiedSerializer
as a mixin. It will get applied to the OrderSerializer
, if the Order
doesn't have any one of the fields declared in the mixin, we will receive an exception.
Return computed value from the model
if you have a scenario is to send the computed value. We can create a property for a model and specify the property name directly in the Serializer class.
class Order(models.Model):
qty = models.IntegerField()
price_per_qty = models.DecimalField(max_digits=5, decimal_places=2, default=0.0)
@property
def total_amount(self):
return self.qty * self.price_per_qty
class OrderSerializer(models.ModelSerializer):
class Meta:
model = Order
fields = ('qty', 'price_pert_qty', 'total_amount') #Total amount is property of the model
Since the total_amount
is a property, it will pick it directly. We can also declare the field type, specify as read-only, or result in an AttributeError
exception.
Saving nested serializer
If we want to create or update a nested model relation. drf-writable-nested is a package that comes for rescue; it supports nested serializer both create and update operations. it also available supports for OneToOne, ForeignKey, ManyToMany.
https://github.com/beda-software/drf-writable-nested
from drf_writable_nested.serializers import WritableNestedModelSerializer
from rest_framework.serializers import ModelSerializer
class OrderItemSerializer(ModelSerializer):
class Meta:
model = OrderItems
fields = '__all__'
class OrderSerializer(WritableNestedModelSerializer):
items = OrderItemSerializer(many=True)
class Meta:
model = Order
fields = '__all__'
Accept object id while create and update, return object through serializer
By default, DRF accepts and returns the field in the same format. If the use case is to accept the id update and create but return the serialized object. We can use PresentablePrimaryKeyRelatedField
from the drf-extra-fields package for this purpose.
The custom field takes two arguments one is the queryset
of the model, and another one presentation_serializer
is a serializer class for the model.
from drf_extra_fields.relations import PresentablePrimaryKeyRelatedField
from rest_framework.serializers import ModelSerializer
class OrderSerializer(ModelSerializer):
items = OrderItemSerializer(many=True)
order_type = PresentablePrimaryKeyRelatedField(
queryset = OrderType.objects.all(),
presentation_serializer=OrderTypeSerializer
)
class Meta:
model = Order
fields = '__all__'
drf-extra-fields has many more custom fields, like Base64ImageField
, it will accept a image file
as base64 encoded and will return as image file. please checkout the https://github.com/Hipo/drf-extra-fields for more information
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