Skip to main content

Writable nested helpers for django-rest-framework's serializers

Project description

DRF Writable Nested

Build Status codecov pypi

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: - OneToOne (direct/reverse) - ForeignKey (direct/reverse) - ManyToMany (direct/reverse excluding m2m relations with through model) - GenericRelation (this is always only reverse)

Requirements

  • Python (2.7, 3.2, 3.3, 3.4, 3.5)

  • Django (1.8, 1.9, 1.10)

  • djangorestframework (3.x)

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 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.

Authors

2014-2017, beda.software

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

drf-writable-nested-0.3.0.tar.gz (7.0 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page