claytondaley / drf-writable-nested

Writable nested model serializer for Django REST Framework
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DRF Writable Nested

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This is a writable nested model serializer for Django REST Framework which allows you to create/update your models with related nested data.

The following relations are supported:

Requirements

Installation

pip install drf-writable-nested

Usage

For example, for the following model structure:

from django.db import models

class Site(models.Model):
    url = models.CharField(max_length=100)

class User(models.Model):
    username = models.CharField(max_length=100)

class AccessKey(models.Model):
    key = models.CharField(max_length=100)

class Profile(models.Model):
    sites = models.ManyToManyField(Site)
    user = models.OneToOneField(User)
    access_key = models.ForeignKey(AccessKey, null=True)

class Avatar(models.Model):
    image = models.CharField(max_length=100)
    profile = models.ForeignKey(Profile, related_name='avatars')

We should create the following list of serializers:

from rest_framework import serializers
from drf_writable_nested.serializers import WritableNestedModelSerializer

class AvatarSerializer(serializers.ModelSerializer):
    image = serializers.CharField()

    class Meta:
        model = Avatar
        fields = ('pk', 'image',)

class SiteSerializer(serializers.ModelSerializer):
    url = serializers.CharField()

    class Meta:
        model = Site
        fields = ('pk', 'url',)

class AccessKeySerializer(serializers.ModelSerializer):

    class Meta:
        model = AccessKey
        fields = ('pk', 'key',)

class ProfileSerializer(WritableNestedModelSerializer):
    # Direct ManyToMany relation
    sites = SiteSerializer(many=True)

    # Reverse FK relation
    avatars = AvatarSerializer(many=True)

    # Direct FK relation
    access_key = AccessKeySerializer(allow_null=True)

    class Meta:
        model = Profile
        fields = ('pk', 'sites', 'avatars', 'access_key',)

class UserSerializer(WritableNestedModelSerializer):
    # Reverse OneToOne relation
    profile = ProfileSerializer()

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

Also, you can use NestedCreateMixin or NestedUpdateMixin from this package if you want to support only create or update logic.

For example, we can pass the following data with related nested fields to our main serializer:

data = {
    'username': 'test',
    'profile': {
        'access_key': {
            'key': 'key',
        },
        'sites': [
            {
                'url': 'http://google.com',
            },
            {
                'url': 'http://yahoo.com',
            },
        ],
        'avatars': [
            {
                'image': 'image-1.png',
            },
            {
                'image': 'image-2.png',
            },
        ],
    },
}

user_serializer = UserSerializer(data=data)
user_serializer.is_valid(raise_exception=True)
user = user_serializer.save()

This serializer will automatically create all nested relations and we receive a complete instance with filled data.

user_serializer = UserSerializer(instance=user)
print(user_serializer.data)
{
    'pk': 1,
    'username': 'test',
    'profile': {
        'pk': 1,
        'access_key': {
            'pk': 1,
            'key': 'key'
        },
        'sites': [
            {
                'pk': 1,
                'url': 'http://google.com',
            },
            {
                'pk': 2,
                'url': 'http://yahoo.com',
            },
        ],
        'avatars': [
            {
                'pk': 1,
                'image': 'image-1.png',
            },
            {
                'pk': 2,
                'image': 'image-2.png',
            },
        ],
    },
}

It is also possible to pass through values to nested serializers from the call to the base serializer's save method. These kwargs must be of type dict. E g:

# user_serializer created with 'data' as above
user = user_serializer.save(
    profile={
        'access_key': {'key': 'key2'},
    },
)
print(user.profile.access_key.key)
'key2'

Note: The same value will be used for all nested instances like default value but with higher priority.

Known problems with solutions

Validation problem for nested serializers with unique fields on update

We have a special mixin UniqueFieldsMixin which solves this problem. The mixin movesUniqueValidator's from the validation stage to the save stage.

If you want more details, you can read related issues and articles: https://github.com/beda-software/drf-writable-nested/issues/1 http://www.django-rest-framework.org/api-guide/validators/#updating-nested-serializers

Example of usage:
class Child(models.Model):
    field = models.CharField(unique=True)

class Parent(models.Model):
    child = models.ForeignKey('Child')

class ChildSerializer(UniqueFieldsMixin, serializers.ModelSerializer):
    class Meta:
        model = Child

class ParentSerializer(NestedUpdateMixin, serializers.ModelSerializer):
    child = ChildSerializer()

    class Meta:
        model = Parent

Note: UniqueFieldsMixin must be applied only on serializer which has unique fields.

Mixin ordering

When you are using both mixins (UniqueFieldsMixin and NestedCreateMixin or NestedUpdateMixin) you should put UniqueFieldsMixin ahead.

For example:

class ChildSerializer(UniqueFieldsMixin, NestedUpdateMixin,
        serializers.ModelSerializer):

Authors

2014-2019, beda.software