How to perform data validation in Django Rest Framework?
Three ways to perform data validation in Django Rest Framework serializers
3 min read
In Django Rest Framework (DRF), we get
serializers to serialize our native Python data types into
serializers can also perform deserialization along with serialization. This means a serializer can convert a native Python data type such as List, Tuple, Querysets etc. into a representable
JSON format, as well as it can take
JSON and convert it back to the relevant python data type.
Django Rest Framework applies data validation at the time of deserialization, that is why we need to call
is_valid() method before accessing the validated data from a serializer instance. If the data is invalid, in this case, errors are then appended to the serializer's error property and a
ValidationError will be thrown.
We can apply data validation in various ways, in this blog, we will have a look at three ways we can apply data validation in a Django Rest Framework (DRF) serializer.
For this blog, we are going to use
ModelSerializer and which will be based on the given model throughout this blog.
# app_name/models.py from django.db import models class Book(models.Model): name = models.CharField(max_length=100) rating = models.PositiveSmallIntegerField() author = models.ForeignKey(User, on_delete=models.CASCADE) ...
Instance (object) validation:
If you have a
Book model as given above, and you want to validate the whole
instance, here is how you can perform
In Django Rest Framework (DRF) serializers, we can use a
validation() method to perform
instance level validation, which will take
instance as an
argument and always return the
instance of the
Model if not then it will raise a
# app_name/serializers.py from rest_framework import serializers from app_name.models import Book class BookSerializer(serializers.ModelSerializer): class Meta: model = Book fields = '__all__' def validate(self, data): if data['author'] == self.context["request"].user: raise serializers.ValidationError('Logged in User is not an Author') return data
Field level validation:
If you have a
Book model as given above, and you want to validate certain fields such as
rating for that model, here is how you can perform field-level validation.
The thing to note here is that if you are performing the validation on a field, the
validate_FIELD_NAME method will be used which will always return the validated value, if not then it will raise a
In the below example, we are validating whether the logged-in user is an author or not.
# app_name/serializers.py from rest_framework import serializers from app_name.models import Book class BookSerializer(serializers.ModelSerializer): class Meta: model = Book fields = '__all__' def validate_rating(self, value): if value < 1 or value > 10: raise serializers.ValidationError('Rating has to be between 1 and 10.') return value
Validation through validators:
In the above example of Field level validation, we have validated the field through a method
validate_FIELD_NAME, but you can also create a custom validator to perform such an operation.
# app_name/serializers.py from rest_framework import serializers from app_name.models import Book def is_rating_valid(value): if value < 1: raise serializers.ValidationError('Value cannot be lower than 1.') elif value > 10: raise serializers.ValidationError('Value cannot be higher than 10') class BookSerializer(serializers.ModelSerializer): rating = serializers.IntegerField(validators=[is_rating_valid]) class Meta: model = Book fields = '__all__'
That’s it for this blog, there can be some other ways as well if you want to perform some validation, but it is highly recommended that you should perform the data validation in the serializer if possible.
Any thoughts? Write it down in the comments.
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