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Add docs on validation in complex cases
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@ -156,7 +156,7 @@ If you want the date field to be entirely hidden from the user, then use `Hidden
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---
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# Advanced 'default' argument usage
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# Advanced field defaults
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Validators that are applied across multiple fields in the serializer can sometimes require a field input that should not be provided by the API client, but that *is* available as input to the validator.
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@ -188,6 +188,71 @@ It takes a single argument, which is the default value or callable that should b
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---
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# Limitations of validators
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There are some ambiguous cases where you'll need to instead handle validation
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explicitly, rather than relying on the default serializer classes that
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`ModelSerializer` generates.
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In these cases you may want to disable the automatically generated validators,
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by specifying an empty list for the serializer `Meta.validators` attribute.
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## Optional fields
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By default "unique together" validation enforces that all fields be
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`required=True`. In some cases, you might want to explicit apply
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`required=False` to one of the fields, in which case the desired behaviour
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of the validation is ambiguous.
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In this case you will typically need to exclude the validator from the
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serializer class, and instead write any validation logic explicitly, either
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in the `.validate()` method, or else in the view.
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For example:
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class BillingRecordSerializer(serializers.ModelSerializer):
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def validate(self, data):
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# Apply custom validation either here, or in the view.
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class Meta:
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fields = ('client', 'date', 'amount')
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extra_kwargs = {'client' {'required': 'False'}}
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validators = [] # Remove a default "unique together" constraint.
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## Updating nested serializers
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When applying an update to an existing instance, uniqueness validators will
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exclude the current instance from the uniqueness check. The current instance
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is available in the context of the uniqueness check, because it exists as
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an attribute on the serializer, having initially been passed using
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`instance=...` when instantiating the serializer.
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In the case of update operations on *nested* serializers there's no way of
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applying this exclusion, because the instance is not available.
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Again, you'll probably want to explicitly remove the validator from the
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serializer class, and write the code the for the validation constraint
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explicitly, in a `.validate()` method, or in the view.
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## Debugging complex cases
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If you're not sure exactly what behavior a `ModelSerializer` class will
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generate it is usually a good idea to run `manage.py shell`, and print
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an instance of the serializer, so that you can inspect the fields and
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validators that it automatically generates for you.
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>>> serializer = MyComplexModelSerializer()
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>>> print(serializer)
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class MyComplexModelSerializer:
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my_fields = ...
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Also keep in mind that with complex cases it can often be better to explicitly
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define your serializer classes, rather than relying on the default
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`ModelSerializer` behavior. This involves a little more code, but ensures
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that the resulting behavior is more transparent.
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---
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# Writing custom validators
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You can use any of Django's existing validators, or write your own custom validators.
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