@@ -76,7 +76,28 @@ Deserialization is similar. First we parse a stream into python native datatype
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@@ -76,7 +76,28 @@ Deserialization is similar. First we parse a stream into python native datatype
When deserializing data, you always need to call `is_valid()` before attempting to access the deserialized object. If any validation errors occur, the `.errors` and `.non_field_errors` properties will contain the resulting error messages.
When deserializing data, you always need to call `is_valid()` before attempting to access the deserialized object. If any validation errors occur, the `.errors` and `.non_field_errors` properties will contain the resulting error messages.
**TODO: Describe validation in more depth**
### Field-level validation
You can specify custom field-level validation by adding `validate_<fieldname>()` methods to your `Serializer` subclass. These are analagous to `clean_<fieldname>` methods on Django forms, but accept slightly different arguments. They take a dictionary of deserialized attributes as a first argument, and the field name in that dictionary as a second argument (which will be either the name of the field or the value of the `source` argument to the field, if one was provided). Your `validate_<fieldname>` methods should either just return the attrs dictionary or raise a `ValidationError`. For example:
from rest_framework import serializers
class BlogPostSerializer(serializers.Serializer):
title = serializers.CharField(max_length=100)
content = serializers.CharField()
def validate_title(self, attrs, source):
"""
Check that the blog post is about Django
"""
value = attrs[source]
if "Django" not in value:
raise serializers.ValidationError("Blog post is not about Django")
return attrs
### Final cross-field validation
To do any other validation that requires access to multiple fields, add a method called `validate` to your `Serializer` subclass. This method takes a single argument, which is the `attrs` dictionary. It should raise a `ValidationError` if necessary, or just return `attrs`.