Django REST framework 3.0

The 3.0 release of Django REST framework is the result of almost four years of iteration and refinement. It comprehensively addresses some of the previous remaining design issues in serializers, fields and the generic views.

This release is incremental in nature. There are some breaking API changes, and upgrading will require you to read the release notes carefully, but the migration path should otherwise be relatively straightforward.

The difference in quality of the REST framework API and implementation should make writing, maintaining and debugging your application far easier.

3.0 is the first of three releases that have been funded by our recent Kickstarter campaign.

As ever, a huge thank you to our many wonderful sponsors. If you're looking for a Django gig, and want to work with smart community-minded folks, you should probably check out that list and see who's hiring.

New features

Notable features of this new release include:

Significant new functionality continues to be planned for the 3.1 and 3.2 releases. These releases will correspond to the two Kickstarter stretch goals - "Feature improvements" and "Admin interface". Further 3.x releases will present simple upgrades, without the same level of fundamental API changes necessary for the 3.0 release.

REST framework: Under the hood.

This talk from the Django: Under the Hood event in Amsterdam, Nov 2014, gives some good background context on the design decisions behind 3.0.

Below is an in-depth guide to the API changes and migration notes for 3.0.

Request objects

The .data and .query_params properties.

The usage of request.DATA and request.FILES is now pending deprecation in favor of a single request.data attribute that contains all the parsed data.

Having separate attributes is reasonable for web applications that only ever parse url-encoded or multipart requests, but makes less sense for the general-purpose request parsing that REST framework supports.

You may now pass all the request data to a serializer class in a single argument:

# Do this...
ExampleSerializer(data=request.data)

Instead of passing the files argument separately:

# Don't do this...
ExampleSerializer(data=request.DATA, files=request.FILES)

The usage of request.QUERY_PARAMS is now pending deprecation in favor of the lowercased request.query_params.

Serializers

Single-step object creation.

Previously the serializers used a two-step object creation, as follows:

  1. Validating the data would create an object instance. This instance would be available as serializer.object.
  2. Calling serializer.save() would then save the object instance to the database.

This style is in-line with how the ModelForm class works in Django, but is problematic for a number of reasons:

We now use single-step object creation, like so:

  1. Validating the data makes the cleaned data available as serializer.validated_data.
  2. Calling serializer.save() then saves and returns the new object instance.

The resulting API changes are further detailed below.

The .create() and .update() methods.

The .restore_object() method is now removed, and we instead have two separate methods, .create() and .update(). These methods work slightly different to the previous .restore_object().

When using the .create() and .update() methods you should both create and save the object instance. This is in contrast to the previous .restore_object() behavior that would instantiate the object but not save it.

These methods also replace the optional .save_object() method, which no longer exists.

The following example from the tutorial previously used restore_object() to handle both creating and updating object instances.

def restore_object(self, attrs, instance=None):
    if instance:
        # Update existing instance
        instance.title = attrs.get('title', instance.title)
        instance.code = attrs.get('code', instance.code)
        instance.linenos = attrs.get('linenos', instance.linenos)
        instance.language = attrs.get('language', instance.language)
        instance.style = attrs.get('style', instance.style)
        return instance

    # Create new instance
    return Snippet(**attrs)

This would now be split out into two separate methods.

def update(self, instance, validated_data):
    instance.title = validated_data.get('title', instance.title)
    instance.code = validated_data.get('code', instance.code)
    instance.linenos = validated_data.get('linenos', instance.linenos)
    instance.language = validated_data.get('language', instance.language)
    instance.style = validated_data.get('style', instance.style)
    instance.save()
    return instance

def create(self, validated_data):
    return Snippet.objects.create(**validated_data)

Note that these methods should return the newly created object instance.

Use .validated_data instead of .object.

You must now use the .validated_data attribute if you need to inspect the data before saving, rather than using the .object attribute, which no longer exists.

For example the following code is no longer valid:

if serializer.is_valid():
    name = serializer.object.name  # Inspect validated field data.
    logging.info('Creating ticket "%s"' % name)
    serializer.object.user = request.user  # Include the user when saving.
    serializer.save()

Instead of using .object to inspect a partially constructed instance, you would now use .validated_data to inspect the cleaned incoming values. Also you can't set extra attributes on the instance directly, but instead pass them to the .save() method as keyword arguments.

The corresponding code would now look like this:

if serializer.is_valid():
    name = serializer.validated_data['name']  # Inspect validated field data.
    logging.info('Creating ticket "%s"' % name)
    serializer.save(user=request.user)  # Include the user when saving.

Using .is_valid(raise_exception=True)

The .is_valid() method now takes an optional boolean flag, raise_exception.

Calling .is_valid(raise_exception=True) will cause a ValidationError to be raised if the serializer data contains validation errors. This error will be handled by REST framework's default exception handler, allowing you to remove error response handling from your view code.

The handling and formatting of error responses may be altered globally by using the EXCEPTION_HANDLER settings key.

This change also means it's now possible to alter the style of error responses used by the built-in generic views, without having to include mixin classes or other overrides.

Using serializers.ValidationError.

Previously serializers.ValidationError error was simply a synonym for django.core.exceptions.ValidationError. This has now been altered so that it inherits from the standard APIException base class.

The reason behind this is that Django's ValidationError class is intended for use with HTML forms and its API makes using it slightly awkward with nested validation errors that can occur in serializers.

For most users this change shouldn't require any updates to your codebase, but it is worth ensuring that whenever raising validation errors you should prefer using the serializers.ValidationError exception class, and not Django's built-in exception.

We strongly recommend that you use the namespaced import style of import serializers and not from serializers import ValidationError in order to avoid any potential confusion.

Change to validate_<field_name>.

The validate_<field_name> method hooks that can be attached to serializer classes change their signature slightly and return type. Previously these would take a dictionary of all incoming data, and a key representing the field name, and would return a dictionary including the validated data for that field:

def validate_score(self, attrs, source):
    if attrs['score'] % 10 != 0:
        raise serializers.ValidationError('This field should be a multiple of ten.')
    return attrs

This is now simplified slightly, and the method hooks simply take the value to be validated, and return the validated value.

def validate_score(self, value):
    if value % 10 != 0:
        raise serializers.ValidationError('This field should be a multiple of ten.')
    return value

Any ad-hoc validation that applies to more than one field should go in the .validate(self, attrs) method as usual.

Because .validate_<field_name> would previously accept the complete dictionary of attributes, it could be used to validate a field depending on the input in another field. Now if you need to do this you should use .validate() instead.

You can either return non_field_errors from the validate method by raising a simple ValidationError

def validate(self, attrs):
    # serializer.errors == {'non_field_errors': ['A non field error']}
    raise serializers.ValidationError('A non field error')

Alternatively if you want the errors to be against a specific field, use a dictionary of when instantiating the ValidationError, like so:

def validate(self, attrs):
    # serializer.errors == {'my_field': ['A field error']}
    raise serializers.ValidationError({'my_field': 'A field error'})

This ensures you can still write validation that compares all the input fields, but that marks the error against a particular field.

Removal of transform_<field_name>.

The under-used transform_<field_name> on serializer classes is no longer provided. Instead you should just override to_representation() if you need to apply any modifications to the representation style.

For example:

def to_representation(self, instance):
    ret = super(UserSerializer, self).to_representation(instance)
    ret['username'] = ret['username'].lower()
    return ret

Dropping the extra point of API means there's now only one right way to do things. This helps with repetition and reinforcement of the core API, rather than having multiple differing approaches.

If you absolutely need to preserve transform_<field_name> behavior, for example, in order to provide a simpler 2.x to 3.0 upgrade, you can use a mixin, or serializer base class that add the behavior back in. For example:

class BaseModelSerializer(ModelSerializer):
    """
    A custom ModelSerializer class that preserves 2.x style `transform_<field_name>` behavior.
    """
    def to_representation(self, instance):
        ret = super(BaseModelSerializer, self).to_representation(instance)
        for key, value in ret.items():
            method = getattr(self, 'transform_' + key, None)
            if method is not None:
                ret[key] = method(value)
        return ret

Differences between ModelSerializer validation and ModelForm.

This change also means that we no longer use the .full_clean() method on model instances, but instead perform all validation explicitly on the serializer. This gives a cleaner separation, and ensures that there's no automatic validation behavior on ModelSerializer classes that can't also be easily replicated on regular Serializer classes.

For the most part this change should be transparent. Field validation and uniqueness checks will still be run as normal, but the implementation is a little different.

The one difference that you do need to note is that the .clean() method will not be called as part of serializer validation, as it would be if using a ModelForm. Use the serializer .validate() method to perform a final validation step on incoming data where required.

There may be some cases where you really do need to keep validation logic in the model .clean() method, and cannot instead separate it into the serializer .validate(). You can do so by explicitly instantiating a model instance in the .validate() method.

def validate(self, attrs):
    instance = ExampleModel(**attrs)
    instance.clean()
    return attrs

Again, you really should look at properly separating the validation logic out of the model method if possible, but the above might be useful in some backwards compatibility cases, or for an easy migration path.

Writable nested serialization.

REST framework 2.x attempted to automatically support writable nested serialization, but the behavior was complex and non-obvious. Attempting to automatically handle these case is problematic:

Using the depth option on ModelSerializer will now create read-only nested serializers by default.

If you try to use a writable nested serializer without writing a custom create() and/or update() method you'll see an assertion error when you attempt to save the serializer. For example:

>>> class ProfileSerializer(serializers.ModelSerializer):
>>>     class Meta:
>>>         model = Profile
>>>         fields = ('address', 'phone')
>>>
>>> class UserSerializer(serializers.ModelSerializer):
>>>     profile = ProfileSerializer()
>>>     class Meta:
>>>         model = User
>>>         fields = ('username', 'email', 'profile')
>>>
>>> data = {
>>>     'username': 'lizzy',
>>>     'email': 'lizzy@example.com',
>>>     'profile': {'address': '123 Acacia Avenue', 'phone': '01273 100200'}
>>> }
>>>
>>> serializer = UserSerializer(data=data)
>>> serializer.save()
AssertionError: The `.create()` method does not support nested writable fields by default. Write an explicit `.create()` method for serializer `UserSerializer`, or set `read_only=True` on nested serializer fields.

To use writable nested serialization you'll want to declare a nested field on the serializer class, and write the create() and/or update() methods explicitly.

class UserSerializer(serializers.ModelSerializer):
    profile = ProfileSerializer()

    class Meta:
        model = User
        fields = ('username', 'email', 'profile')

    def create(self, validated_data):
        profile_data = validated_data.pop('profile')
        user = User.objects.create(**validated_data)
        Profile.objects.create(user=user, **profile_data)
        return user

The single-step object creation makes this far simpler and more obvious than the previous .restore_object() behavior.

Printable serializer representations.

Serializer instances now support a printable representation that allows you to inspect the fields present on the instance.

For instance, given the following example model:

class LocationRating(models.Model):
    location = models.CharField(max_length=100)
    rating = models.IntegerField()
    created_by = models.ForeignKey(User)

Let's create a simple ModelSerializer class corresponding to the LocationRating model.

class LocationRatingSerializer(serializer.ModelSerializer):
    class Meta:
        model = LocationRating

We can now inspect the serializer representation in the Django shell, using python manage.py shell...

>>> serializer = LocationRatingSerializer()
>>> print(serializer)  # Or use `print serializer` in Python 2.x
LocationRatingSerializer():
    id = IntegerField(label='ID', read_only=True)
    location = CharField(max_length=100)
    rating = IntegerField()
    created_by = PrimaryKeyRelatedField(queryset=User.objects.all())

The extra_kwargs option.

The write_only_fields option on ModelSerializer has been moved to PendingDeprecation and replaced with a more generic extra_kwargs.

class MySerializer(serializer.ModelSerializer):
    class Meta:
        model = MyModel
        fields = ('id', 'email', 'notes', 'is_admin')
        extra_kwargs = {
                'is_admin': {'write_only': True}
        }

Alternatively, specify the field explicitly on the serializer class:

class MySerializer(serializer.ModelSerializer):
    is_admin = serializers.BooleanField(write_only=True)

    class Meta:
        model = MyModel
        fields = ('id', 'email', 'notes', 'is_admin')

The read_only_fields option remains as a convenient shortcut for the more common case.

Changes to HyperlinkedModelSerializer.

The view_name and lookup_field options have been moved to PendingDeprecation. They are no longer required, as you can use the extra_kwargs argument instead:

class MySerializer(serializer.HyperlinkedModelSerializer):
    class Meta:
        model = MyModel
        fields = ('url', 'email', 'notes', 'is_admin')
        extra_kwargs = {
            'url': {'lookup_field': 'uuid'}
        }

Alternatively, specify the field explicitly on the serializer class:

class MySerializer(serializer.HyperlinkedModelSerializer):
    url = serializers.HyperlinkedIdentityField(
        view_name='mymodel-detail',
        lookup_field='uuid'
    )

    class Meta:
        model = MyModel
        fields = ('url', 'email', 'notes', 'is_admin')

Fields for model methods and properties.

With ModelSerializer you can now specify field names in the fields option that refer to model methods or properties. For example, suppose you have the following model:

class Invitation(models.Model):
    created = models.DateTimeField()
    to_email = models.EmailField()
    message = models.CharField(max_length=1000)

    def expiry_date(self):
        return self.created + datetime.timedelta(days=30)

You can include expiry_date as a field option on a ModelSerializer class.

class InvitationSerializer(serializers.ModelSerializer):
    class Meta:
        model = Invitation
        fields = ('to_email', 'message', 'expiry_date')

These fields will be mapped to serializers.ReadOnlyField() instances.

>>> serializer = InvitationSerializer()
>>> print repr(serializer)
InvitationSerializer():
    to_email = EmailField(max_length=75)
    message = CharField(max_length=1000)
    expiry_date = ReadOnlyField()

The ListSerializer class.

The ListSerializer class has now been added, and allows you to create base serializer classes for only accepting multiple inputs.

class MultipleUserSerializer(ListSerializer):
    child = UserSerializer()

You can also still use the many=True argument to serializer classes. It's worth noting that many=True argument transparently creates a ListSerializer instance, allowing the validation logic for list and non-list data to be cleanly separated in the REST framework codebase.

You will typically want to continue to use the existing many=True flag rather than declaring ListSerializer classes explicitly, but declaring the classes explicitly can be useful if you need to write custom create or update methods for bulk updates, or provide for other custom behavior.

See also the new ListField class, which validates input in the same way, but does not include the serializer interfaces of .is_valid(), .data, .save() and so on.

The BaseSerializer class.

REST framework now includes a simple BaseSerializer class that can be used to easily support alternative serialization and deserialization styles.

This class implements the same basic API as the Serializer class:

There are four methods that can be overridden, depending on what functionality you want the serializer class to support:

Because this class provides the same interface as the Serializer class, you can use it with the existing generic class-based views exactly as you would for a regular Serializer or ModelSerializer.

The only difference you'll notice when doing so is the BaseSerializer classes will not generate HTML forms in the browsable API. This is because the data they return does not include all the field information that would allow each field to be rendered into a suitable HTML input.

Read-only BaseSerializer classes.

To implement a read-only serializer using the BaseSerializer class, we just need to override the .to_representation() method. Let's take a look at an example using a simple Django model:

class HighScore(models.Model):
    created = models.DateTimeField(auto_now_add=True)
    player_name = models.CharField(max_length=10)
    score = models.IntegerField()

It's simple to create a read-only serializer for converting HighScore instances into primitive data types.

class HighScoreSerializer(serializers.BaseSerializer):
    def to_representation(self, obj):
        return {
            'score': obj.score,
            'player_name': obj.player_name
        }

We can now use this class to serialize single HighScore instances:

@api_view(['GET'])
def high_score(request, pk):
    instance = HighScore.objects.get(pk=pk)
    serializer = HighScoreSerializer(instance)
    return Response(serializer.data)

Or use it to serialize multiple instances:

@api_view(['GET'])
def all_high_scores(request):
    queryset = HighScore.objects.order_by('-score')
    serializer = HighScoreSerializer(queryset, many=True)
    return Response(serializer.data)
Read-write BaseSerializer classes.

To create a read-write serializer we first need to implement a .to_internal_value() method. This method returns the validated values that will be used to construct the object instance, and may raise a ValidationError if the supplied data is in an incorrect format.

Once you've implemented .to_internal_value(), the basic validation API will be available on the serializer, and you will be able to use .is_valid(), .validated_data and .errors.

If you want to also support .save() you'll need to also implement either or both of the .create() and .update() methods.

Here's a complete example of our previous HighScoreSerializer, that's been updated to support both read and write operations.

class HighScoreSerializer(serializers.BaseSerializer):
    def to_internal_value(self, data):
        score = data.get('score')
        player_name = data.get('player_name')

        # Perform the data validation.
        if not score:
            raise ValidationError({
                'score': 'This field is required.'
            })
        if not player_name:
            raise ValidationError({
                'player_name': 'This field is required.'
            })
        if len(player_name) > 10:
            raise ValidationError({
                'player_name': 'May not be more than 10 characters.'
            })

        # Return the validated values. This will be available as
        # the `.validated_data` property.
        return {
            'score': int(score),
            'player_name': player_name
        }

    def to_representation(self, obj):
        return {
            'score': obj.score,
            'player_name': obj.player_name
        }

    def create(self, validated_data):
        return HighScore.objects.create(**validated_data)

Creating new generic serializers with BaseSerializer.

The BaseSerializer class is also useful if you want to implement new generic serializer classes for dealing with particular serialization styles, or for integrating with alternative storage backends.

The following class is an example of a generic serializer that can handle coercing arbitrary objects into primitive representations.

class ObjectSerializer(serializers.BaseSerializer):
    """
    A read-only serializer that coerces arbitrary complex objects
    into primitive representations.
    """
    def to_representation(self, obj):
        for attribute_name in dir(obj):
            attribute = getattr(obj, attribute_name)
            if attribute_name('_'):
                # Ignore private attributes.
                pass
            elif hasattr(attribute, '__call__'):
                # Ignore methods and other callables.
                pass
            elif isinstance(attribute, (str, int, bool, float, type(None))):
                # Primitive types can be passed through unmodified.
                output[attribute_name] = attribute
            elif isinstance(attribute, list):
                # Recursively deal with items in lists.
                output[attribute_name] = [
                    self.to_representation(item) for item in attribute
                ]
            elif isinstance(attribute, dict):
                # Recursively deal with items in dictionaries.
                output[attribute_name] = {
                    str(key): self.to_representation(value)
                    for key, value in attribute.items()
                }
            else:
                # Force anything else to its string representation.
                output[attribute_name] = str(attribute)

Serializer fields

The Field and ReadOnly field classes.

There are some minor tweaks to the field base classes.

Previously we had these two base classes:

We now use the following:

The required, allow_null, allow_blank and default arguments.

REST framework now has more explicit and clear control over validating empty values for fields.

Previously the meaning of the required=False keyword argument was underspecified. In practice its use meant that a field could either be not included in the input, or it could be included, but be None or the empty string.

We now have a better separation, with separate required, allow_null and allow_blank arguments.

The following set of arguments are used to control validation of empty values:

Typically you'll want to use required=False if the corresponding model field has a default value, and additionally set either allow_null=True or allow_blank=True if required.

The default argument is also available and always implies that the field is not required to be in the input. It is unnecessary to use the required argument when a default is specified, and doing so will result in an error.

Coercing output types.

The previous field implementations did not forcibly coerce returned values into the correct type in many cases. For example, an IntegerField would return a string output if the attribute value was a string. We now more strictly coerce to the correct return type, leading to more constrained and expected behavior.

Removal of .validate().

The .validate() method is now removed from field classes. This method was in any case undocumented and not public API. You should instead simply override to_internal_value().

class UppercaseCharField(serializers.CharField):
    def to_internal_value(self, data):
        value = super(UppercaseCharField, self).to_internal_value(data)
        if value != value.upper():
            raise serializers.ValidationError('The input should be uppercase only.')
        return value

Previously validation errors could be raised in either .to_native() or .validate(), making it non-obvious which should be used. Providing only a single point of API ensures more repetition and reinforcement of the core API.

The ListField class.

The ListField class has now been added. This field validates list input. It takes a child keyword argument which is used to specify the field used to validate each item in the list. For example:

scores = ListField(child=IntegerField(min_value=0, max_value=100))

You can also use a declarative style to create new subclasses of ListField, like this:

class ScoresField(ListField):
    child = IntegerField(min_value=0, max_value=100)

We can now use the ScoresField class inside another serializer:

scores = ScoresField()

See also the new ListSerializer class, which validates input in the same way, but also includes the serializer interfaces of .is_valid(), .data, .save() and so on.

The ChoiceField class may now accept a flat list.

The ChoiceField class may now accept a list of choices in addition to the existing style of using a list of pairs of (name, display_value). The following is now valid:

color = ChoiceField(choices=['red', 'green', 'blue'])

The MultipleChoiceField class.

The MultipleChoiceField class has been added. This field acts like ChoiceField, but returns a set, which may include none, one or many of the valid choices.

Changes to the custom field API.

The from_native(self, value) and to_native(self, data) method names have been replaced with the more obviously named to_internal_value(self, data) and to_representation(self, value).

The field_from_native() and field_to_native() methods are removed. Previously you could use these methods if you wanted to customise the behaviour in a way that did not simply lookup the field value from the object. For example...

def field_to_native(self, obj, field_name):
    """A custom read-only field that returns the class name."""
    return obj.__class__.__name__

Now if you need to access the entire object you'll instead need to override one or both of the following:

For example:

def get_attribute(self, obj):
    # Pass the entire object through to `to_representation()`,
    # instead of the standard attribute lookup.
    return obj

def to_representation(self, value):
    return value.__class__.__name__

Explicit queryset required on relational fields.

Previously relational fields that were explicitly declared on a serializer class could omit the queryset argument if (and only if) they were declared on a ModelSerializer.

This code would be valid in 2.4.3:

class AccountSerializer(serializers.ModelSerializer):
    organizations = serializers.SlugRelatedField(slug_field='name')

    class Meta:
        model = Account

However this code would not be valid in 3.0:

# Missing `queryset`
class AccountSerializer(serializers.Serializer):
    organizations = serializers.SlugRelatedField(slug_field='name')

    def restore_object(self, attrs, instance=None):
        # ...

The queryset argument is now always required for writable relational fields. This removes some magic and makes it easier and more obvious to move between implicit ModelSerializer classes and explicit Serializer classes.

class AccountSerializer(serializers.ModelSerializer):
    organizations = serializers.SlugRelatedField(
        slug_field='name',
        queryset=Organization.objects.all()
    )

    class Meta:
        model = Account

The queryset argument is only ever required for writable fields, and is not required or valid for fields with read_only=True.

Optional argument to SerializerMethodField.

The argument to SerializerMethodField is now optional, and defaults to get_<field_name>. For example the following is valid:

class AccountSerializer(serializers.Serializer):
    # `method_name='get_billing_details'` by default.
    billing_details = serializers.SerializerMethodField()

    def get_billing_details(self, account):
        return calculate_billing(account)

In order to ensure a consistent code style an assertion error will be raised if you include a redundant method name argument that matches the default method name. For example, the following code will raise an error:

billing_details = serializers.SerializerMethodField('get_billing_details')

Enforcing consistent source usage.

I've see several codebases that unnecessarily include the source argument, setting it to the same value as the field name. This usage is redundant and confusing, making it less obvious that source is usually not required.

The following usage will now raise an error:

email = serializers.EmailField(source='email')

The UniqueValidator and UniqueTogetherValidator classes.

REST framework now provides new validators that allow you to ensure field uniqueness, while still using a completely explicit Serializer class instead of using ModelSerializer.

The UniqueValidator should be applied to a serializer field, and takes a single queryset argument.

from rest_framework import serializers
from rest_framework.validators import UniqueValidator

class OrganizationSerializer(serializers.Serializer):
    url = serializers.HyperlinkedIdentityField(view_name='organization_detail')
    created = serializers.DateTimeField(read_only=True)
    name = serializers.CharField(
        max_length=100,
        validators=UniqueValidator(queryset=Organization.objects.all())
    )

The UniqueTogetherValidator should be applied to a serializer, and takes a queryset argument and a fields argument which should be a list or tuple of field names.

class RaceResultSerializer(serializers.Serializer):
    category = serializers.ChoiceField(['5k', '10k'])
    position = serializers.IntegerField()
    name = serializers.CharField(max_length=100)

    class Meta:
        validators = [UniqueTogetherValidator(
            queryset=RaceResult.objects.all(),
            fields=('category', 'position')
        )]

The UniqueForDateValidator classes.

REST framework also now includes explicit validator classes for validating the unique_for_date, unique_for_month, and unique_for_year model field constraints. These are used internally instead of calling into Model.full_clean().

These classes are documented in the Validators section of the documentation.

Generic views

Simplification of view logic.

The view logic for the default method handlers has been significantly simplified, due to the new serializers API.

Changes to pre/post save hooks.

The pre_save and post_save hooks no longer exist, but are replaced with perform_create(self, serializer) and perform_update(self, serializer).

These methods should save the object instance by calling serializer.save(), adding in any additional arguments as required. They may also perform any custom pre-save or post-save behavior.

For example:

def perform_create(self, serializer):
    # Include the owner attribute directly, rather than from request data.
    instance = serializer.save(owner=self.request.user)
    # Perform a custom post-save action.
    send_email(instance.to_email, instance.message)

The pre_delete and post_delete hooks no longer exist, and are replaced with .perform_destroy(self, instance), which should delete the instance and perform any custom actions.

def perform_destroy(self, instance):
    # Perform a custom pre-delete action.
    send_deletion_alert(user=instance.created_by, deleted=instance)
    # Delete the object instance.
    instance.delete()

Removal of view attributes.

The .object and .object_list attributes are no longer set on the view instance. Treating views as mutable object instances that store state during the processing of the view tends to be poor design, and can lead to obscure flow logic.

I would personally recommend that developers treat view instances as immutable objects in their application code.

PUT as create.

Allowing PUT as create operations is problematic, as it necessarily exposes information about the existence or non-existence of objects. It's also not obvious that transparently allowing re-creating of previously deleted instances is necessarily a better default behavior than simply returning 404 responses.

Both styles "PUT as 404" and "PUT as create" can be valid in different circumstances, but we've now opted for the 404 behavior as the default, due to it being simpler and more obvious.

If you need to restore the previous behavior you may want to include this AllowPUTAsCreateMixin class as a mixin to your views.

Customizing error responses.

The generic views now raise ValidationFailed exception for invalid data. This exception is then dealt with by the exception handler, rather than the view returning a 400 Bad Request response directly.

This change means that you can now easily customize the style of error responses across your entire API, without having to modify any of the generic views.

The metadata API

Behavior for dealing with OPTIONS requests was previously built directly into the class-based views. This has now been properly separated out into a Metadata API that allows the same pluggable style as other API policies in REST framework.

This makes it far easier to use a different style for OPTIONS responses throughout your API, and makes it possible to create third-party metadata policies.

Serializers as HTML forms

REST framework 3.0 includes templated HTML form rendering for serializers.

This API should not yet be considered finalized, and will only be promoted to public API for the 3.1 release.

Significant changes that you do need to be aware of include:

The style keyword argument for serializer fields.

The style keyword argument can be used to pass through additional information from a serializer field, to the renderer class. In particular, the HTMLFormRenderer uses the base_template key to determine which template to render the field with.

For example, to use a textarea control instead of the default input control, you would use the following…

additional_notes = serializers.CharField(
    style={'base_template': 'textarea.html'}
)

Similarly, to use a radio button control instead of the default select control, you would use the following…

color_channel = serializers.ChoiceField(
    choices=['red', 'blue', 'green'],
    style={'base_template': 'radio.html'}
)

This API should be considered provisional, and there may be minor alterations with the incoming 3.1 release.

API style

There are some improvements in the default style we use in our API responses.

Unicode JSON by default.

Unicode JSON is now the default. The UnicodeJSONRenderer class no longer exists, and the UNICODE_JSON setting has been added. To revert this behavior use the new setting:

REST_FRAMEWORK = {
    'UNICODE_JSON': False
}

Compact JSON by default.

We now output compact JSON in responses by default. For example, we return:

{"email":"amy@example.com","is_admin":true}

Instead of the following:

{"email": "amy@example.com", "is_admin": true}

The COMPACT_JSON setting has been added, and can be used to revert this behavior if needed:

REST_FRAMEWORK = {
    'COMPACT_JSON': False
}

File fields as URLs

The FileField and ImageField classes are now represented as URLs by default. You should ensure you set Django's standard MEDIA_URL setting appropriately, and ensure your application serves the uploaded files.

You can revert this behavior, and display filenames in the representation by using the UPLOADED_FILES_USE_URL settings key:

REST_FRAMEWORK = {
    'UPLOADED_FILES_USE_URL': False
}

You can also modify serializer fields individually, using the use_url argument:

uploaded_file = serializers.FileField(use_url=False)

Also note that you should pass the request object to the serializer as context when instantiating it, so that a fully qualified URL can be returned. Returned URLs will then be of the form https://example.com/url_path/filename.txt. For example:

context = {'request': request}
serializer = ExampleSerializer(instance, context=context)
return Response(serializer.data)

If the request is omitted from the context, the returned URLs will be of the form /url_path/filename.txt.

Throttle headers using Retry-After.

The custom X-Throttle-Wait-Second header has now been dropped in favor of the standard Retry-After header. You can revert this behavior if needed by writing a custom exception handler for your application.

Date and time objects as ISO-8601 strings in serializer data.

Date and Time objects are now coerced to strings by default in the serializer output. Previously they were returned as Date, Time and DateTime objects, and later coerced to strings by the renderer.

You can modify this behavior globally by settings the existing DATE_FORMAT, DATETIME_FORMAT and TIME_FORMAT settings keys. Setting these values to None instead of their default value of 'iso-8601' will result in native objects being returned in serializer data.

REST_FRAMEWORK = {
    # Return native `Date` and `Time` objects in `serializer.data`
    'DATETIME_FORMAT': None
    'DATE_FORMAT': None
    'TIME_FORMAT': None
}

You can also modify serializer fields individually, using the date_format, time_format and datetime_format arguments:

# Return `DateTime` instances in `serializer.data`, not strings.
created = serializers.DateTimeField(format=None)

Decimals as strings in serializer data.

Decimals are now coerced to strings by default in the serializer output. Previously they were returned as Decimal objects, and later coerced to strings by the renderer.

You can modify this behavior globally by using the COERCE_DECIMAL_TO_STRING settings key.

REST_FRAMEWORK = {
    'COERCE_DECIMAL_TO_STRING': False
}

Or modify it on an individual serializer field, using the coerce_to_string keyword argument.

# Return `Decimal` instances in `serializer.data`, not strings.
amount = serializers.DecimalField(
    max_digits=10,
    decimal_places=2,
    coerce_to_string=False
)

The default JSON renderer will return float objects for un-coerced Decimal instances. This allows you to easily switch between string or float representations for decimals depending on your API design needs.

Miscellaneous notes

What's coming next

3.0 is an incremental release, and there are several upcoming features that will build on the baseline improvements that it makes.

The 3.1 release is planned to address improvements in the following components:

The 3.2 release is planned to introduce an alternative admin-style interface to the browsable API.

You can follow development on the GitHub site, where we use milestones to indicate planning timescales.